Systems and methods with variable mitigation thresholds

Information

  • Patent Grant
  • 11609004
  • Patent Number
    11,609,004
  • Date Filed
    Friday, April 19, 2019
    5 years ago
  • Date Issued
    Tuesday, March 21, 2023
    a year ago
  • CPC
  • Field of Search
    • US
    • 700 276000
    • CPC
    • F24F8/00
    • F24F11/62
    • F24F11/64
    • F24F11/59
    • F24F2110/64
    • F24F2110/70
    • F24F2110/66
    • G05B17/02
  • International Classifications
    • F24F8/00
    • F24F11/62
    • F24F11/64
    • F24F11/59
    • G05B17/02
    • F24F110/64
    • F24F110/70
    • F24F110/66
Abstract
An indoor air quality (IAQ) system for a building includes an IAQ sensor that is located within the building and that is configured to measure an IAQ parameter. The IAQ parameter is one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air. A mitigation module is configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; and selectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold. A clean module is configured to determine a clean value for the IAQ parameter. A thresholds module is configured to, based on the clean value, determine the first ON threshold and the OFF threshold.
Description
FIELD

The present disclosure relates to environmental control systems and more particularly to indoor air quality control systems and methods.


BACKGROUND

The background description provided here is for the purpose of generally presenting the context of the disclosure. Work of the presently named inventors, to the extent it is described in this background section, as well as aspects of the description that may not otherwise qualify as prior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present disclosure.


A residential or light commercial HVAC (heating, ventilation, and/or air conditioning) system controls temperature and humidity of a building. Upper and lower temperature limits may be specified by an occupant or owner of the building, such as an employee working in the building or a homeowner.


A thermostat controls operation of the HVAC system based on a comparison of the temperature at a thermostat and the target values. The thermostat may control the HVAC system to heat the building when the temperature is less than the lower temperature limit. The thermostat may control the HVAC system to cool the building when the temperature is greater than the upper temperature limit. Heating the building and cooling the building generally decreases humidity, although the HVAC system may include a humidifier that adds humidity to warm air output by the HVAC system during heating of the building.


SUMMARY

In a feature, an indoor air quality (IAQ) system for a building is described. An IAQ sensor is located within the building and is configured to measure an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air. A mitigation module is configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; and selectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold. A clean module is configured to determine a clean value for the IAQ parameter. A thresholds module is configured to, based on the clean value, determine the first ON threshold and the OFF threshold.


In further features, the thresholds module is configured to set the first ON threshold based on the clean value plus a first predetermined value.


In further features, the thresholds module is configured to set the second ON threshold to a fixed predetermined value.


In further features, the thresholds module is configured to set the OFF threshold based on a second predetermined value plus a greater one of the first and second ON thresholds.


In further features, the mitigation module is configured to turn on the mitigation device in response to a determination that the IAQ parameter is greater than both of the first ON threshold and the second ON threshold.


In further features, the mitigation module is configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) at least one OFF condition is satisfied.


In further features, the mitigation module is configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) the IAQ parameter is less than or equal to the clean level.


In further features, the mitigation module is configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a slope of the IAQ parameter is within a predetermined amount of zero.


In further features, the mitigation module is configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a predetermined period has passed since the IAQ parameter became less than the OFF threshold.


In further features, the IAQ parameter is the amount of particulate, and the IAQ system further includes a time to capacity module configured to determine the predetermined period by solving the following equation for period:








(

Clean
Peak

)

=


(

1
-



a

f

r

vol

*




efficiency


)

period


,





where period is the predetermined period, Clean is the clean value, Peak is a peak value of the amount of particulate, afr is an air flow rate of a blower of an air handler unit of the building, vol is a volume of interior space the building, and efficiency is an efficiency of a filter of the air handler unit.


In further features, the IAQ parameter is one of (i) the amount of VOCs and (ii) the amount of carbon dioxide, and the IAQ system further includes a time to capacity module configured to determine the predetermined period by solving the following equation for period:








(

Clean
Peak

)

=


(

1
-



a

f

r

vol

*
percentage






)

period


,





where period is the predetermined period, Clean is the clean value, Peak is a peak value of the one of (i) the amount of VOCs and (ii) the amount of carbon dioxide, afr is an air flow rate of a ventilator of the building, vol is a volume of interior space the building, and percentage is a percentage of the volume of the building that the ventilator will circulate out of the building per minute.


In a feature, an indoor air method (IAQ) method includes: by an IAQ sensor that is located within a building, measuring an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air; selectively turning on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; selectively turning off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold; determining a clean value for the IAQ parameter; and based on the clean value, determining the first ON threshold and the OFF threshold.


In further features, determining the first ON threshold includes setting the first ON threshold based on the clean value plus a first predetermined value.


In further features, the IAQ method further includes setting the second ON threshold to a fixed predetermined value.


In further features, determining the OFF threshold includes setting the OFF threshold based on a second predetermined value plus a greater one of the first and second ON thresholds.


In further features, selectively turning on the mitigation device includes turning on the mitigation device in response to a determination that the IAQ parameter is greater than both of the first ON threshold and the second ON threshold.


In further features, selectively turning off the mitigation device includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) at least one OFF condition is satisfied.


In further features, selectively turning off the mitigation device includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) the IAQ parameter is less than or equal to the clean level.


In further features, selectively turning off the mitigation device includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a slope of the IAQ parameter is within a predetermined amount of zero.


In further features, selectively turning off the mitigation device includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a predetermined period has passed since the IAQ parameter became less than the OFF threshold.


In further features, the IAQ parameter is the amount of particulate, and the IAQ method further includes determining the predetermined period by solving the following equation for period:








(

Clean
Peak

)

=


(

1
-



a

f

r

vol

*




efficiency


)

period


,





where period is the predetermined period, Clean is the clean value, Peak is a peak value of the amount of particulate, afr is an air flow rate of a blower of an air handler unit of the building, vol is a volume of interior space the building, and efficiency is an efficiency of a filter of the air handler unit.


In further features, the IAQ parameter is one of (i) the amount of VOCs and (ii) the amount of carbon dioxide, and the IAQ method further includes determining the predetermined period by solving the following equation for period:








(

Clean
Peak

)

=


(

1
-



a

f

r

vol

*
percentage


)

period


,





where period is the predetermined period, Clean is the clean value, Peak is a peak value of the one of (i) the amount of VOCs and (ii) the amount of carbon dioxide, afr is an air flow rate of a ventilator of the building, vol is a volume of interior space the building, and percentage is a percentage of the volume of the building that the ventilator will circulate out of the building per minute.


In a feature, an indoor air quality (IAQ) system for a building is described. A particulate sensor is located within the building and is configured to measure an amount of particulate of at least a predetermined size present in air. A mitigation module is configured to: selectively turn on a blower of an air handler unit of the building based on a comparison of the amount of particulate with an ON threshold; and selectively turn off the blower based on a comparison of the amount of particulate with an OFF threshold. A timer module is configured to measure a period between a first time when the mitigation module turned the blower ON and a second time when the mitigation module next turned the blower OFF. A time to capacity module is configured to determine an expected period of the blower being ON for a mitigation event when a filter of the air handler unit is new by solving the following equation for period:








(

Later
/
Initial

)

=


(

1
-



a





fr


vo





l


*
efficiency


)

period


,





where period is the expected period, Later is the amount of particulate measured by the particulate sensor at the second time, Initial is the amount of particulate measured by the particulate sensor at the first time, afr is an air flow rate of the blower of the air handler unit, vol is a volume of interior space the building, and efficiency is an efficiency of the filter when new. A diagnostic module is configured to selectively generate an indicator to replace the filter based on a comparison of the period and the expected period.


In further features, the diagnostic module is configured to generate the indicator to replace the filter when the period is greater than the expected period by at least a predetermined amount.


In further features, the diagnostic module is configured to generate the indicator to replace the filter when the period is at least twice as long as the expected period.


In further features, the diagnostic module is configured to generate the indicator to replace the filter when the period is at least three times the expected period.


In further features, the diagnostic module is configured to determine an amount that the filter is filled with particulate matter based on a comparison of the period and the expected period and to generate the indicator to replace the filter based on the amount that the filter is filled.


In further features, the diagnostic module is configured to display the indicator to replace the filter on a display of a customer device associated with the building.


In a feature, an indoor air quality (IAQ) method includes: by a particulate sensor that is located within a building, measuring an amount of particulate of at least a predetermined size present in air; selectively turning on a blower of an air handler unit of the building based on a comparison of the amount of particulate with an ON threshold; selectively turning off the blower based on a comparison of the amount of particulate with an OFF threshold; measuring a period between a first time when the blower was turned ON and a second time when the blower is next turned OFF; determining an expected period of the blower being ON for a mitigation event when a filter of the air handler unit is new by solving the following equation for period:








(

Later
/
Initial

)

=


(

1
-



a





fr


vo





l


*
efficiency


)

period


,





where period is the expected period, Later is the amount of particulate measured by the particulate sensor at the second time, Initial is the amount of particulate measured by the particulate sensor at the first time, afr is an air flow rate of the blower of the air handler unit, vol is a volume of interior space the building, and efficiency is an efficiency of the filter when new; and selectively generating an indicator to replace the filter based on a comparison of the period and the expected period.


In further features, selectively generating the indicator includes generating the indicator to replace the filter when the period is greater than the expected period by at least a predetermined amount.


In further features, selectively generating the indicator includes generating to replace the filter when the period is at least twice as long as the expected period.


In further features, selectively generating the indicator includes generating the indicator to replace the filter when the period is at least three times the expected period.


In further features, the IAQ method further includes determining an amount that the filter is filled with particulate matter based on a comparison of the period and the expected period, where selectively generating the indicator includes generating the indicator to replace the filter based on the amount that the filter is filled.


In further features, the IAQ method further includes displaying the indicator to replace the filter on a display of a customer device associated with the building.


In a feature, an indoor air quality (IAQ) system for a building is described. An IAQ sensor is located within the building and is configured to measure an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air. A mitigation module is configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with an ON threshold; and selectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold. A timer module is configured to measure a period for a mitigation event between a first time when the mitigation module turned the mitigation device ON and a second time when the mitigation module next turned the mitigation device OFF. An event module is configured to determine an event classification for the mitigation event based on the period and to store the event classification in memory.


In further features, a time to capacity module is configured to determine an expected period for the mitigation event by solving the following equation for period:








(

Later
/
Initial

)

=


(

1
-



a





fr


vo





l


*
efficiency


)

period


,





where period is an expected period, Later is the amount of particulate measured by the particulate sensor at the second time, Initial is the amount of particulate measured by the particulate sensor at the first time, afr is an air flow rate of a blower of an air handler unit of the building, vol is a volume of interior space the building, and efficiency is an efficiency of a filter of the air handler unit when new, and the event module is configured to determine the event classification further based on the expected period.


In further features, the event module is configured to set the event classification to a first classification when the period is greater than the expected period.


In further features, the event module is configured to set the event classification to a second classification when the period is less than the expected period.


In further features, the event module is configured to set the event classification to: a first classification when the period is less than a first predetermined period; a second classification when the period is greater than a second predetermined period that is greater than the first predetermined period; and a third classification when the period is greater than the first predetermined period and less than the second predetermined period.


In further features, a time to capacity module is configured to determine an expected period for the mitigation event by solving the following equation for period:








(

Later
/
Initial

)

=


(

1
-



a





fr


vo





l


*
percentage


)

period


,





where period is the expected period, Later is a first value of the IAQ parameter at the second time, Initial is a second value of the IAQ parameter at the first time, afr is an air flow rate of the mitigation device, vol is a volume of interior space the building, and percentage is a percentage of the volume of the building that the mitigation device will circulate out of the building per minute, and the event module is configured to determine the event classification further based on the expected period.


In further features, the event module is configured to set the event classification to a first classification when the period is greater than the expected period.


In further features, the event module is configured to set the event classification to a second classification when the period is less than the expected period.


In a feature, an indoor air quality (IAQ) method includes: by an IAQ sensor that is located within a building, measuring an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air; selectively turning on a mitigation device based on a comparison of the IAQ parameter with an ON threshold; selectively turning off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold; measuring a period for a mitigation event between a first time when mitigation device was turned ON and a second time when the mitigation device was next turned OFF; determining an event classification for the mitigation event based on the period; and storing the event classification in memory.


In a feature, the IAQ method further includes determining an expected period for the mitigation event by solving the following equation for period:








(

Later
/
Initial

)

=


(

1
-


afr
vol

*
efficiency


)

period


,





where period is an expected period, Later is the amount of particulate measured by the particulate sensor at the second time, Initial is the amount of particulate measured by the particulate sensor at the first time, afr is an air flow rate of a blower of an air handler unit of the building, vol is a volume of interior space the building, and efficiency is an efficiency of a filter of the air handler unit when new, where determining the event classification includes determining the event classification further based on the expected period.


In further features, determining the event classification includes setting the event classification to a first classification when the period is greater than the expected period.


In further features, determining the event classification includes setting the event classification to a second classification when the period is less than the expected period.


In further features, determining the event classification includes setting the event classification to: a first classification when the period is less than a first predetermined period; a second classification when the period is greater than a second predetermined period that is greater than the first predetermined period; and a third classification when the period is greater than the first predetermined period and less than the second predetermined period.


In further features, the IAQ method further includes determining an expected period for the mitigation event by solving the following equation for period:








(

Later
/
Initial

)

=


(

1
-


afr
vol

*
percentage


)

period


,





where period is the expected period, Later is a first value of the IAQ parameter at the second time, Initial is a second value of the IAQ parameter at the first time, afr is an air flow rate of the mitigation device, vol is a volume of interior space the building, and percentage is a percentage of the volume of the building that the mitigation device will circulate out of the building per minute, where determining the event classification includes determining the event classification further based on the expected period.


In further features, determining the event classification includes setting the event classification to a first classification when the period is greater than the expected period.


In further features, determining the event classification includes setting the event classification to a second classification when the period is less than the expected period.


In a feature, an indoor air quality (IAQ) system for a building is described. An IAQ sensor module is located within the building and comprises at least one of: a temperature sensor configured to measure a temperature of air at the IAQ sensor module; a relative humidity (RH) sensor configured to measure a RH of the air at the IAQ sensor module; a particulate sensor configured to measure an amount of particulate of at least a predetermined size present in the air at the IAQ sensor module; a volatile organic compound (VOC) sensor configured to measure an amount of VOCs present in the air at the IAQ sensor module; and a carbon dioxide sensor configured to measure an amount of carbon dioxide present in the air at the IAQ sensor module. At least one of a thermostat and an IAQ control module is configured to, in response to a determination that one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide is greater than a predetermined value while one of a plurality of mitigation devices is off: determine an area between: a baseline value; and a curve formed by the one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide; and selectively turn on the one of the plurality of mitigation devices.


In further features, the mitigation devices include at least two of: an air handler unit of a heating, ventilation, and air conditioning (HVAC) system a blower of an air handler unit of the HVAC system of the building; a condenser unit of the HVAC system of the building; an air purifier configured to receive power via a standard wall outlet and to filter particulate from air within the building; a humidifier configured to humidify air within the building; a dehumidifier configured to dehumidify air within the building; and a ventilator configured to vent air out of the building from within the building.


In further features, the at least one of the thermostat and the IAQ control module is configured to selectively turn on the one of the plurality of mitigation devices based on the area.


In further features, the at least one of the thermostat and the IAQ control module is configured to turn on the one of the plurality of mitigation devices when the area is greater than a predetermined value.


In further features, the at least one of the thermostat and the IAQ control module is configured to maintain the one of the plurality of mitigation devices off when the area is less than the predetermined value.


In further features, the at least one of the thermostat and the IAQ control module is configured to selectively turn on the one of the plurality of mitigation devices when at least two of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide are greater than respective predetermined values.


In further features, the at least one of the thermostat and the IAQ control module is configured to maintain the one of the plurality of mitigation devices off when: only one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide is greater than the predetermined value; and the area is less than a predetermined value.


In further features, the at least one of the thermostat and the IAQ control module is configured to selectively turn on at least one of the plurality of mitigation devices when: at least two of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide are greater than respective predetermined values; and the area is less than a predetermined value.


In further features, the at least one of the thermostat and the IAQ control module is further configured to turn on the at least one of the plurality of mitigation devices when the area is greater than the predetermined value.


In further features, the at least one of the thermostat and the IAQ control module is configured to selectively turn on at least one of the plurality of mitigation devices when at least three of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide are greater than respective predetermined values.


In a feature, a method includes: at least one of: by a temperature sensor of an indoor air quality (IAQ) sensor module within a building, measuring a temperature of air at the IAQ sensor module; by a relative humidity (RH) sensor of the IAQ sensor module within the building, measuring a RH of the air at the IAQ sensor module; by a particulate sensor of the IAQ sensor module within the building, measuring an amount of particulate of at least a predetermined size present in the air at the IAQ sensor module; by a volatile organic compound (VOC) sensor of the IAQ sensor module within the building, measuring an amount of VOCs present in the air at the IAQ sensor module; and by a carbon dioxide sensor of the IAQ sensor module within the building, measuring an amount of carbon dioxide present in the air at the IAQ sensor module; and in response to a determination that one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide is greater than a predetermined value while one of a plurality of mitigation devices is off: determining an area between: a baseline value; and a curve formed by the one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide; and selectively turning on the one of the plurality of mitigation devices.


In further features, the mitigation devices include at least two of: an air handler unit of a heating, ventilation, and air conditioning (HVAC) system a blower of an air handler unit of the HVAC system of the building; a condenser unit of the HVAC system of the building; an air purifier configured to receive power via a standard wall outlet and to filter particulate from air within the building; a humidifier configured to humidify air within the building; a dehumidifier configured to dehumidify air within the building; and a ventilator configured to vent air out of the building from within the building.


In further features, selectively turning on the one of the plurality of mitigation devices includes selectively turning on the one of the plurality of mitigation devices the one of the plurality of mitigation devices based on the area.


In further features, selectively turning on the one of the plurality of mitigation devices includes turning on the one of the plurality of mitigation devices when the area is greater than a predetermined value.


In further features, the method further includes maintaining the one of the plurality of mitigation devices off when the area is less than the predetermined value.


In further features, selectively turning on the one of the plurality of mitigation devices includes selectively turning on the one of the plurality of mitigation devices when at least two of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide are greater than respective predetermined values.


In further features, maintaining the one of the plurality of mitigation devices off when: only one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide is greater than the predetermined value; and the area is less than a predetermined value.


In further features, selectively turning on the one of the plurality of mitigation devices includes selectively turning on at least one of the plurality of mitigation devices when: at least two of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide are greater than respective predetermined values; and the area is less than a predetermined value.


In further features, the method further includes turning on the at least one of the plurality of mitigation devices when the area is greater than the predetermined value.


In further features, selectively turning on the one of the plurality of mitigation devices includes selectively turning on at least one of the plurality of mitigation devices when at least three of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide are greater than respective predetermined values.


Further areas of applicability of the present disclosure will become apparent from the detailed description, the claims and the drawings. The detailed description and specific examples are intended for purposes of illustration only and are not intended to limit the scope of the disclosure.





BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure will become more fully understood from the detailed description and the accompanying drawings, wherein:



FIG. 1 is a block diagram of an example heating, ventilation, and air conditioning (HVAC) system;



FIG. 2A is a functional block diagram of an air handler unit of an example HVAC system;



FIGS. 2B and 2C are functional block diagrams of example condenser units of example HVAC systems;



FIG. 3 is a functional block diagram of an example indoor air quality (IAQ) sensor module that can be used with an HVAC system and/or other mitigation devices;



FIGS. 4A-4C are a functional block diagram of an example IAQ control system;



FIG. 5A is a functional block diagram of an example remote monitoring system;



FIG. 5B is a functional block diagram of an example monitoring system;



FIGS. 6-9 are example user interfaces displayed by a user computing device during execution of an application based on data received from a remote monitoring system;



FIG. 10 includes a functional block diagram of an example implementation of an IAQ control module;



FIGS. 11-13 include example graphs of an IAQ parameter (e.g., amount of particulate, amount of VOCs, or amount of carbon dioxide) over time;



FIGS. 14 and 15 include example graphs of particulate matter (PM) over time;



FIG. 16 includes a flowchart depicting an example method of controlling mitigation of an IAQ parameter;



FIG. 17 includes a flowchart depicting an example method of indicating whether to replace a filter of an air handler unit;



FIG. 18 includes a flowchart depicting an example method of classifying mitigation events;



FIG. 19 includes an example graph of amount of particulate versus measured mitigation period;



FIG. 20 includes an example graph of an amount of VOCs versus measured mitigation period;



FIG. 21 includes a functional block diagram of an example implementation of a thermostat;



FIG. 22 includes an example graph of particulate, volatile organic compounds (VOCs), and carbon dioxide (CO2) over time;



FIG. 23 includes an example graph of particulate, VOCs, CO2, temperature, and relative humidity (RH) over time; and



FIG. 24 includes a flowchart depicting an example method of mitigating IAQ parameters.





In the drawings, reference numbers may be reused to identify similar and/or identical elements.


DETAILED DESCRIPTION

According to the present disclosure, an indoor air quality (IAQ) sensor module can be used with one or more mitigation devices of a residential or light commercial HVAC (heating, ventilation, and/or air conditioning) system of a building and/or one or more other mitigation devices. The IAQ sensor module includes one, more than one, or all of a temperature sensor, a relative humidity (RH) sensor, a particulate sensor, a volatile organic compound (VOC) sensor, and a carbon dioxide (CO2) sensor. The IAQ sensor module may also include one or more other IAQ sensors, such as occupancy, barometric pressure, light, sound, etc. The temperature sensor senses a temperature of air at the location of the IAQ sensor. The RH sensor measures a RH of air at the location of the IAQ sensor. The particulate sensor measures an amount (e.g., concentration) of particulate greater than a predetermined size in the air at the location of the IAQ sensor. The VOC sensor measures an amount of VOCs in the air at the location of the IAQ sensor. The carbon dioxide sensor measures an amount of carbon dioxide in the air at the location of the IAQ sensor. Other IAQ sensors would measure an amount of a substance or condition in the air at the location of the IAQ sensor.


The IAQ sensor module is wirelessly connected to a thermostat of the HVAC system, such as via Bluetooth or WiFi. The IAQ sensor module may additionally or alternatively be wirelessly connected to a control module. The IAQ sensor module communicates measurements from its sensors, and optionally, a time and date to the thermostat and/or the control module.


The control module and/or the thermostat can provide information on the measurements of the IAQ sensor module and other data (e.g., statuses of mitigation devices, local outdoor air conditions, etc.) to one or more user devices (e.g., of tenants, occupants, customers, contractors, etc.) associated with the building. For example, the building may be a single-family residence, and the customer may be the homeowner, a landlord, or a tenant. In other implementations, the building may be a light commercial building, and the customer may be the building owner, a tenant, or a property management company.


The control module and/or the thermostat controls operation of the mitigation devices based on the measurements from the IAQ sensor module. For example, the control module and/or the thermostat controls operation of the mitigation devices based on maintaining a temperature measured by the IAQ sensor module within upper and lower temperature limits, based on maintaining a RH measured by the IAQ sensor within upper and lower RH limits, based on maintaining the amount of particulate in the air at the IAQ sensor module below a predetermined amount of particulate, based on maintaining the amount of VOCs in the air at the IAQ sensor module below a predetermined amount of VOCs, and/or based on maintaining the amount of carbon dioxide in the air at the IAQ sensor module below a predetermined amount of carbon dioxide.


For example, the control module and/or the thermostat may turn on a dehumidifier when the RH is greater than an upper dehumidification RH limit and maintain the dehumidifier on until the RH becomes less than a lower dehumidification RH limit. The control module and/or the thermostat may turn on a humidifier when the RH is less than a lower humidification RH limit and maintain the humidifier on until the RH becomes greater than an upper humidification RH limit. The control module and/or the thermostat may turn on a particulate decreasing device (e.g., an air cleaner/purifier) when the amount of particulate is greater than an upper particulate limit and maintain the particulate decreasing device on until the amount of particulate becomes less than a lower particulate limit. The control module and/or the thermostat may turn on a carbon dioxide decreasing device (e.g., a ventilator) when the amount of carbon dioxide is greater than an upper carbon dioxide limit and maintain the carbon dioxide decreasing device on until the amount of carbon dioxide becomes less than a lower carbon dioxide limit. The control module and/or the thermostat may turn on a VOC decreasing device (e.g., a ventilator or an air/cleaner purifier) when the amount of VOCs is greater than an upper VOC limit and maintain the VOC decreasing device on until the amount of VOCs becomes less than a lower VOC limit.


The limits may be set to predetermined values by default. The limits, however, may be too high or too low for the building under some circumstances. The limits being too high or too low may cause over-use of one or more mitigation devices. The control module may therefore adjust (increase or decrease) one or more of the limits.


Additionally, mitigation of a deviation of one parameter may cause a deviation in another parameter and prompt mitigation of the other parameter. For example, mitigation of VOCs and/or carbon dioxide may cause an increase in RH within the building as air from within the building is vented to outside of the building and more humid outside air is drawn into the building. If the RH within the building increases to greater than the upper dehumidification RH limit due to the mitigation of VOCs and/or carbon dioxide, the control module and/or the thermostat may trigger dehumidification. To prevent mitigation of one parameter from causing another parameter to be mitigated, the control module may adjust (increase or decrease) one or more of the limits. Adjusting one of more of the limits may increase an overall amount of time spent with one or more IAQ parameters between the respective upper and lower limits. Stated differently, one or more of the limits may decrease an overall amount of time spent with one or more IAQ parameters being mitigated or outside of the respective upper and lower limits.


As used in this application, the term HVAC can encompass all environmental comfort systems in a building, including heating, cooling, humidifying, dehumidifying, and air exchanging and purifying, and covers devices such as furnaces, heat pumps, humidifiers, dehumidifiers, ventilators, and air conditioners. HVAC systems as described in this application do not necessarily include both heating and air conditioning, and may instead have only one or the other.


In split HVAC systems, an air handler unit is often located indoors, and a condensing unit is often located outdoors. In heat pump systems, the function of the air handler unit and the condensing unit are reversed depending on the mode of the heat pump. As a result, although the present disclosure uses the terms air handler unit and condensing unit, the terms indoor unit and outdoor unit could be used instead in the context of a heat pump. The terms indoor unit and outdoor unit emphasize that the physical locations of the components stay the same while their roles change depending on the mode of the heat pump. A reversing valve selectively reverses the flow of refrigerant from what is shown in FIG. 1 depending on whether the system is heating the building or cooling the building in a heat pump system. When the flow of refrigerant is reversed, the roles of the evaporator and condenser are reversed—i.e., refrigerant evaporation occurs in what is labeled the condenser while refrigerant condensation occurs in what is labeled as the evaporator.


The control module and/or the thermostat upload data to a remote location. The remote location may be accessible via any suitable network, including the Internet. The remote location includes one or more computers, which will be referred to as servers. The servers execute a monitoring system on behalf of a monitoring company. Additionally or alternatively, a user computing device may serve as the monitoring system. The monitoring system receives and processes the data from the controller and/or thermostat of customers who have such systems installed. The monitoring system can provide performance information, diagnostic alerts, and error messages to one or more users associated with the building and/or third parties, such as designated HVAC contractors.


A server of the monitoring system includes a processor and memory. The memory stores application code that processes data received from the controller and/or the thermostat. The processor executes this application code and stores received data either in the memory or in other forms of storage, including magnetic storage, optical storage, flash memory storage, etc. While the term server is used in this application, the application is not limited to a single server.


A collection of servers may together operate to receive and process data from multiple buildings. A load balancing algorithm may be used between the servers to distribute processing and storage. The present application is not limited to servers that are owned, maintained, and housed by a monitoring company. Although the present disclosure describes diagnostics and processing and alerting occurring in a remote monitoring system, some or all of these functions may be performed locally using installed equipment and/or customer resources, such as on a customer computer or computers.


Customers and/or HVAC contractors may be notified of current and predicted issues (e.g., dirty filter) affecting effectiveness or efficiency of the HVAC system and/or the mitigating devices, and may receive notifications related to routine maintenance. The methods of notification may take the form of push or pull updates to an application, which may be executed on a smart phone, tablet, another type of mobile device, or on a computer (e.g., laptop or desktop). Notifications may also be viewed using web applications or on local displays, such as on the thermostat and/or other displays located throughout the building. Notifications may also include text messages, emails, social networking messages, voicemails, phone calls, etc.


Based on measurements from the control module, the thermostat, and/or the IAQ sensor module, the monitoring company can determine whether various components are operating at their peak performance. The monitoring company can advise the customer and a contractor when performance is reduced. This performance reduction may be measured for the system as a whole, such as in terms of efficiency, and/or may be monitored for one or more individual components.


In addition, the monitoring system may detect and/or predict failures of one or more components of the system. When a failure is detected, the customer can be notified and potential remediation steps can be taken immediately. For example, components of the HVAC system may be shut down to prevent or minimize damage, such as water damage, to HVAC components. A contractor can also be notified that a service call may be required. Depending on the contractual relationship between the customer and the contractor, the contractor may schedule a service call to the building.


The monitoring system may provide specific information to a contractor, such as identifying information of the customer's components, including make and model numbers, as well as indications of the specific part numbers of components. Based on this information, the contractor can allocate the correct repair personnel that have experience with the specific components and/or the system. In addition, a service technician is able to bring replacement parts, avoiding return trips after diagnosis.


Depending on the severity of the failure, the customer and/or contractor may be advised of relevant factors in determining whether to repair or replace some or all of the components. For example only, these factors may include relative costs of repair versus replacement, and may include quantitative or qualitative information about advantages of replacement equipment. For example, expected increases in efficiency and/or comfort with new equipment may be provided. Based on historical usage data and/or electricity or other commodity prices, the comparison may also estimate annual savings resulting from the efficiency improvement.


As mentioned above, the monitoring system may also predict impending failures. This allows for preventative maintenance and repair prior to an actual failure of components. Alerts regarding detected or impending failures reduce the time when the HVAC system is out of operation and allows for more flexible scheduling for both the customer and contractor. If the customer is out of town, these alerts may prevent damage from occurring when the customer is not present to detect the failure of a component. For example, failure of heating components of the HVAC system in winter may lead to pipes freezing and bursting.


Alerts regarding potential or impending failures may specify statistical timeframes before the failure is expected. For example only, if a sensor is intermittently providing bad data, the monitoring system may specify an expected amount of time before it is likely that the sensor effectively stops working due to the prevalence of bad data. Further, the monitoring system may explain, in quantitative or qualitative terms, how the current operation and/or the potential failure will affect operation of the HVAC system. This enables the customer to prioritize and budget for repairs.


For the monitoring service, the monitoring company may charge a periodic rate, such as a monthly rate. This charge may be billed directly to the customer and/or may be billed to the contractor. The contractor may pass along these charges to the customer and/or may make other arrangements, such as by requiring an up-front payment and/or applying surcharges to repairs and service visits.


The monitoring service allows the customer to remotely monitor real-time data within the building, outside of the building, and/or control components of the system, such as setting temperature and RH setpoints and other IAQ setpoints, enabling or disabling heating, cooling, ventilation, air purification, etc. In addition, the customer may be able to track usage data for components of the system and/or historical data.


In addition to being uploaded to the remote monitoring service (also referred to as the cloud), monitored data may be transmitted to a local device in the building. For example, a smartphone, laptop, or proprietary portable device may receive monitoring information to diagnose problems and receive real-time performance data. Alternatively, data may be uploaded to the cloud and then downloaded onto a local computing device, such as via the Internet from an interactive web site.


In FIG. 1, a block diagram of an example HVAC system is presented. In this particular example, a forced air system with a gas furnace is shown. Return air is pulled from the building through a filter 104 by a circulator blower 108. The circulator blower 108, also referred to as a fan, is controlled by a control module 112. The control module 112 receives signals from a thermostat 116. For example only, the thermostat 116 may include one or more temperature set points specified by the user.


The thermostat 116 may direct that the circulator blower 108 be turned on at all times or only when a heat request or cool request is present (automatic fan mode). In various implementations, the circulator blower 108 can operate at one or more discrete speeds or at any speed within a predetermined range. For example, the control module 112 may switch one or more switching relays (not shown) to control the circulator blower 108 and/or to select a speed of the circulator blower 108.


The thermostat 116 provides the heat and/or cool requests to the control module 112. When a heat request is made, the control module 112 causes a burner 120 to ignite. Heat from combustion is introduced to the return air provided by the circulator blower 108 in a heat exchanger 124. The heated air is supplied to the building and is referred to as supply air.


The burner 120 may include a pilot light, which is a small constant flame for igniting the primary flame in the burner 120. Alternatively, an intermittent pilot may be used in which a small flame is first lit prior to igniting the primary flame in the burner 120. A sparker may be used for an intermittent pilot implementation or for direct burner ignition. Another ignition option includes a hot surface igniter, which heats a surface to a high enough temperature that, when gas is introduced, the heated surface initiates combustion of the gas. Fuel for combustion, such as natural gas, may be provided by a gas valve 128.


The products of combustion are exhausted outside of the building, and an inducer blower 132 may be turned on prior to ignition of the burner 120. In a high efficiency furnace, the products of combustion may not be hot enough to have sufficient buoyancy to exhaust via conduction. Therefore, the inducer blower 132 creates a draft to exhaust the products of combustion. The inducer blower 132 may remain running while the burner 120 is operating. In addition, the inducer blower 132 may continue running for a set period of time after the burner 120 turns off.


A single enclosure, which will be referred to as an air handler unit 136, may include the filter 104, the circulator blower 108, the control module 112, the burner 120, the heat exchanger 124, the inducer blower 132, an expansion valve 140, an evaporator 144, and a condensate pan 146. In various implementations, the air handler unit 136 includes an electrical heating device (not shown) instead of or in addition to the burner 120. When used in addition to the burner 120, the electrical heating device may provide backup or secondary (extra) heat to the burner 120.


In FIG. 1, the HVAC system includes a split air conditioning system. Refrigerant is circulated through a compressor 148, a condenser 152, the expansion valve 140, and the evaporator 144. The evaporator 144 is placed in series with the supply air so that when cooling is desired, the evaporator 144 removes heat from the supply air, thereby cooling the supply air. During cooling, the evaporator 144 is cold (e.g., below the dew point of the air within the building), which causes water vapor to condense. This water vapor is collected in the condensate pan 146, which drains or is pumped out.


A control module 156 receives a cool request from the control module 112 and controls the compressor 148 accordingly. The control module 156 also controls a condenser fan 160, which increases heat exchange between the condenser 152 and outside air. In such a split system, the compressor 148, the condenser 152, the control module 156, and the condenser fan 160 are generally located outside of the building, often in a single condensing unit 164.


In various implementations, the control module 156 may include a run capacitor, a start capacitor, and a contactor or relay. In various implementations, the start capacitor may be omitted, such as when the condensing unit 164 includes a scroll compressor instead of a reciprocating compressor. The compressor 148 may be a variable-capacity compressor and may respond to a multiple-level cool request. For example, the cool request may indicate a mid-capacity call for cooling or a high-capacity call for cooling. The compressor 148 may vary its capacity according to the cool request.


The electrical lines provided to the condensing unit 164 may include a 240 volt mains power line (not shown) and a 24 volt switched control line. The 24 volt control line may correspond to the cool request shown in FIG. 1. The 24 volt control line controls operation of the contactor. When the control line indicates that the compressor should be on, the contactor contacts close, connecting the 240 volt power supply to the compressor 148. In addition, the contactor may connect the 240 volt power supply to the condenser fan 160. In various implementations, such as when the condensing unit 164 is located in the ground as part of a geothermal system, the condenser fan 160 may be omitted. When the 240 volt mains power supply arrives in two legs, as is common in the U.S., the contactor may have two sets of contacts, and can be referred to as a double-pole single-throw switch.


Typically, the thermostat 116 includes a temperature sensor and a relative humidity (RH) sensor. When in a heating (heat) mode, the thermostat 116 generates a heat request when the temperature measured by the temperature sensor is less than a lower temperature limit. When in a cooling (cool) mode, the thermostat 116 generates a cool request when the temperature measured by the temperature sensor is greater than an upper temperature limit. The upper and lower temperature limits may be set to a setpoint temperature + and − a predetermined amount (e.g., 1, 2, 3, 4, 5 degrees Fahrenheit), respectively. The setpoint temperature may be set to a predetermined temperature by default and may be adjusted by a user.



FIGS. 2A-2B are functional block diagrams of an example monitoring system associated with an HVAC system of a building. The air handler unit 136 of FIG. 1 is shown for reference. The thermostat 116 of FIG. 1 is a WiFi thermostat 208 having networking capability.


In many systems, the air handler unit 136 is located inside the building, while the condensing unit 164 is located outside the building. The present disclosure is not limited to that arrangement, however, and applies to other systems including, as examples only, systems where the components of the air handler unit 136 and the condensing unit 164 are located in close proximity to each other or even in a single enclosure. The single enclosure may be located inside or outside of the building. In various implementations, the air handler unit 136 may be located in a basement, garage, or attic. In ground source systems, where heat is exchanged with the earth, the air handler unit 136 and the condensing unit 164 may be located near the earth, such as in a basement, crawlspace, garage, or on the first floor, such as when the first floor is separated from the earth by only a concrete slab.


In FIG. 2A, a transformer 212 can be connected to an AC line in order to provide AC power to the control module 112 and the thermostat 208. For example, the transformer 212 may be a 10-to-1 transformer and therefore provide either a 12V or 24V AC supply depending on whether the air handler unit 136 is operating on nominal 120 volt or nominal 240 volt power.


The control module 112 controls operation in response to signals from the thermostat 208 received over control lines. The control lines may include a call for cool (cool request), a call for heat (heat request), and a call for fan (fan request). The control lines may include a line corresponding to a state of a reversing valve in heat pump systems.


The control lines may further carry calls for secondary heat and/or secondary cooling, which may be activated when the primary heating or primary cooling is insufficient. In dual fuel systems, such as systems operating from either electricity or natural gas, control signals related to the selection of the fuel may be monitored. Further, additional status and error signals may be monitored, such as a defrost status signal, which may be asserted when the compressor is shut off and a defrost heater operates to melt frost from an evaporator.


One or more of these control signals (on the control lines) is also transmitted to the condensing unit 164 (shown in FIGS. 2B and 2C). In various implementations, the condensing unit 164 may include an ambient temperature sensor that generates temperature data. When the condensing unit 164 is located outdoors, the ambient temperature represents an outside (or outdoor) ambient temperature. The temperature sensor supplying the ambient temperature may be located outside of an enclosure of the condensing unit 164. Alternatively, the temperature sensor may be located within the enclosure, but exposed to circulating air. In various implementations the temperature sensor may be shielded from direct sunlight and may be exposed to an air cavity that is not directly heated by sunlight. Alternatively or additionally, online (including Internet-based) weather data based on the geographical location of the building may be used to determine sun load, outside ambient air temperature, relative humidity, particulate, VOCs, carbon dioxide, etc.


In FIG. 2C, an example condensing unit 268 is shown for a heat pump implementation. The condensing unit 268 may be configured similarly to the condensing unit 164 of FIG. 2B. Although referred to as the condensing unit 268, the mode of the heat pump determines whether the condenser 152 of the condensing unit 268 is actually operating as a condenser or as an evaporator. A reversing valve 272 is controlled by a control module 276 and determines whether the compressor 148 discharges compressed refrigerant toward the condenser 152 (cooling mode) or away from the condenser 152 (heating mode). The control module 276 controls the reversing valve 272 and the compressor 148 based on the control signals. The control module 276 may receive power, for example, from the transformer 212 of the air handler unit 136 or via the incoming AC power line.



FIG. 3 includes a functional block diagram of an example indoor air quality (IAQ) sensor module 304 that can be used with an HVAC system and/or one or more other mitigation devices. The IAQ sensor module 304 includes one, more than one, or all of: a temperature sensor 308, a relative humidity (RH) sensor 312, a particulate sensor 316, a volatile organic compounds (VOC) sensor 320, and a carbon dioxide sensor 324. The IAQ sensor module 304 may also include a sampling module 328 and a transceiver module 332.


A power supply 336 may receive AC power from a standard wall outlet (or receptacle) 340 via a plug 344. For example, the standard wall outlet 340 may provide nominal 120 volt or nominal 240 volt AC power. The power supply 336 may include an AC to direct current (DC) converter that converts the AC power into DC power, such as 5 volt, 12 volt, or 24 volt DC power. The power supply 336 supplies power to the components of the IAQ sensor module 304 including the sensors, the sampling module 328, and the transceiver module 332. While the example of the power supply 336 being integrated within the IAQ sensor module 304 is provided, the power supply 336 may be integrated with the plug 344 in various implementations. Also, while the example of the power supply 336 providing one DC voltage to the components of the IAQ sensor module 304, the power supply 336 may provide two or more different DC voltages to different components of the IAQ sensor module 304.


Additionally or alternatively, the power supply 336 may include one or more batteries or one or more solar cells that supply power to the components of the IAQ sensor module 304. The one or more batteries may be replaceable or non-replaceable. In the example of the one or more batteries being non-replaceable, the one or more batteries may be re-chargeable, such as via a standard wall outlet. In this example, the IAQ sensor module 304 may include a charger that charges the one or more batteries using power supplied, for example, via a standard wall outlet.


The IAQ sensor module 304 is portable and can be moved into different rooms of a building. The IAQ sensor module 304 could also be placed outside the building, for example, to measure one or more conditions outside of the building, calibration, or for one or more other reasons. The temperature sensor 308 measures a temperature of air at the IAQ sensor module 304. The RH sensor 312 measures a relative humidity of air at the IAQ sensor module 304. The particulate sensor 316 measures an amount (e.g., a mass flow rate, such as micrograms (μg) per cubic meter) of particulate in air at the IAQ sensor module 304 having a diameter that is less than a predetermined size (e.g., 2.5 or 10 micrometers (μm)). The VOC sensor 320 measures an amount (e.g., parts per billion (ppb)) of VOC in air at the IAQ sensor module 304. The carbon dioxide sensor 324 measures an amount (e.g., ppm) of carbon dioxide in air at the IAQ sensor module 304. The included ones of the temperature sensor 308, the RH sensor 312, the particulate sensor 316, the VOC sensor 320, and the carbon dioxide sensor 324 will be referred to collectively as the IAQ sensors.


The sampling module 328 samples (analog) measurements of the IAQ sensors. The sampling module 328 may also digitize and/or store values of the measurements of the IAQ sensors. In various implementations, the IAQ sensors may be digital sensors and output digital values corresponding to the respective measured parameters. In such implementations, the sampling module 328 may perform storage or may be omitted.


The IAQ sensor module 304 may include one or more expansion ports to allow for connection of additional sensors and/or to allow connection to other devices. Examples of other devices include one or more other IAQ sensor modules, one or more other types of the IAQ sensors not included in the IAQ sensor module 304, a home security system, a proprietary handheld device for use by contractors, a mobile computing device, and other types of devices.


The transceiver module 332 transmits frames of data corresponding to predetermined periods of time. Each frame of data may include the measurements of the IAQ sensors over a predetermined period. One or more calculations may be performed for the data of each frame of data, such as averaging the measurements of one or more of the IAQ sensors. Each frame (including the calculations and/or the measurements) may be transmitted to a monitoring system, as discussed further below. The measurements of the IAQ sensors may be sampled at a predetermined rate, such as 10 samples per minute or another suitable rate. Each frame may correspond to a predetermined number of sets of samples (e.g., 10). The monitoring system may provide visual representations of the measurements over predetermined periods of time along with other data, as discussed further below.


The transceiver module 332 transmits each frame (including the calculations and/or the measurements) to an IAQ control module 404 and/or the thermostat 208. The transceiver module 332 transmits the frames wirelessly via one or more antennas, such as antenna 348, using a proprietary or standardized, wired or wireless protocol, such as Bluetooth, ZigBee (IEEE 802.15.4), 900 Megahertz, 2.4 Gigahertz, WiFi (IEEE 802.11). The IAQ sensor module 304 may communicate directly with the IAQ control module 404 and/or the thermostat 208 or with a separate computing device, such as a smartphone, tablet, or another type of computing device. In various implementations, a gateway 408 is implemented, which creates a wireless network for the IAQ sensor module 304, the IAQ control module 404, and the thermostat 208. The gateway 408 may also interface with a customer router 412 using a wired or wireless protocol, such as Ethernet (IEEE 802.3).


Referring now to FIGS. 4A-4C, functional block diagrams of example IAQ control systems are presented. The IAQ control module 404 may communicate with the customer router 412 using WiFi. Alternatively, the IAQ control module 404 may communicate with the customer router 412 via the gateway 408. The thermostat 208 may also communicate with the customer router 412 using WiFi or via the gateway 408. In various implementations, the IAQ control module 404 and the thermostat 208 may communicate directly or via the gateway 408.


The IAQ sensor module 304, the IAQ control module 404, and/or the thermostat 208 transmits data measured by the IAQ sensor module 304 and parameters of the IAQ control module 404 and/or the thermostat 208 over a wide area network 416, such as the Internet (referred to as the Internet 416). The IAQ sensor module 304, the IAQ control module 404, and/or the thermostat 208 may access the Internet 416 using the customer router 412 of the customer. The customer router 412 may already be present to provide Internet access to other devices (not shown) within the building, such as a customer computer and/or various other devices having Internet connectivity, such as a DVR (digital video recorder) or a video gaming system.


The IAQ sensor module 304, the IAQ control module 404, and/or the thermostat 208 transmit the data to a remote monitoring system 420 via the Internet 416 using the customer router 412. Further discussion of the remote monitoring system 420 is provided below.


The IAQ control module 404 and/or the thermostat 208 control operation (e.g., on, off, speed, etc.) of mitigation devices 424 based on the measurements from the IAQ sensor module 304. For example, the measurements of the IAQ sensor module 304 may be provided to the thermostat 208 and the thermostat 208 may control operation of the mitigation devices 424 in various implementations (e.g., FIG. 4A). The IAQ control module 404 can be omitted in such implementations. While the example of the thermostat 208 controlling the mitigation devices 424 will be discussed, alternatively the IAQ control module 404 may control operation of the mitigation devices 424 (e.g., FIG. 4B), or the thermostat 208 and the IAQ control module 404 may together control the mitigation devices 424 (e.g., FIG. 4C).


The IAQ control module 404 and/or thermostat 208 control and communicate with the mitigation devices 424 wirelessly, by wire, using a combination of wireless and wired connections. In the case of wireless control and communication, the IAQ control module 404, the thermostat 208, and the mitigation devices 424 include respective transceivers.


The mitigation devices 424 include: (i) the condensing unit 164, (ii) the air handler unit 136 (e.g., the circulator blower 108), (iii) an air cleaner/purifier 428, (iv) a humidifier 432, (v) a dehumidifier 436, and (vi) a ventilator 440. The air cleaner/purifier 428 may be separate from the air handler unit 136 (e.g., a standalone air cleaner/purifier). In various implementations, the air handler unit 136 may serve as the air cleaner/purifier 428. The air cleaner/purifier 428 draws in air and forces the air through a filter before expelling filtered air to the building. The filter may be rated (e.g., minimum efficiency reporting value, MERV) to remove a predetermined amount (e.g., 95%) of particulate of the size measured by the particulate sensor 316. Operation of the air cleaner/purifier 428 may include whether the air cleaner/purifier 428 is on or off and, when on, a speed of the air cleaner/purifier 428. The air cleaner/purifier 428 may have a single speed or multiple discrete speeds.


Operation of the air cleaner/purifier 428 may be controlled via wire or wirelessly by the thermostat 208. Examples of wireless communication and control include, but are not limited to, Bluetooth connections and WiFi connections. For example only, the thermostat 208 may wirelessly control whether the air cleaner/purifier 428 is on or off and, if on, the speed of the air cleaner/purifier 428. As one example, the thermostat 208 may turn the air cleaner/purifier 428 on when the amount of particulate measured by the particulate sensor 316 is greater than a first predetermined amount of particulate. The thermostat 208 may leave the air cleaner/purifier 428 on until the amount of particulate measured by the particulate sensor 316 is less than a second predetermined amount of particulate that is less than the first predetermined amount of particulate. The thermostat 208 may turn the air cleaner/purifier 428 off when the amount of particulate measured by the particulate sensor 316 is less than the second predetermined amount of particulate. In various implementations, the thermostat 208 may vary the speed of the air cleaner/purifier 428 based on the amount of particulate measured by the particulate sensor 316. For example, the thermostat 208 may increase the speed of the air cleaner/purifier 428 as the amount of particulate increases and vice versa.


The humidifier 432 humidifies air within the building. The humidifier 432 may be included with the air handler unit 136 or a standalone humidifier. For example, when included with the air handler unit 136, the humidifier 432 may add moisture to the supply air before the supply air is output from vents to the building. The humidifier 432 may add moisture to air, for example, by supplying water to a medium (e.g., a pad) and forcing air (e.g., supply air) through the hydrated medium. Alternatively, the humidifier 432 may spray water in the form of mist into air (e.g., supply air). In the example of a standalone humidifier, the humidifier 432 may spray water in the form of mist into air.


Operation of the humidifier 432 may include whether the humidifier 432 is on or off. In various implementations, operation of the humidifier 432 may also include a humidification rate (e.g., an amount of water supplied to the pad or into the air as mist). The humidifier 432 may be configured to provide only a single humidification rate or multiple different humidification rates.


Operation of the humidifier 432 may be controlled via wire or wirelessly by the thermostat 208. For example only, the thermostat 208 may control (by wire) whether the humidifier 432 included with the air handler unit 136 is on or off. As another example, if the humidifier 432 is implemented separately from the air handler unit 136, the thermostat 208 may wirelessly control whether the humidifier 432 is on or off and a humidification rate when on. Examples of wireless communication include, but are not limited to, Bluetooth connections and WiFi connections. For example only, the thermostat 208 may turn the humidifier 432 on when the RH measured by the RH sensor 312 is less than a first predetermined RH. The thermostat 208 may leave the humidifier 432 on until the RH measured by the RH sensor 312 is greater than a second predetermined RH that is greater than the first predetermined RH. The thermostat 208 may turn the humidifier 432 off when the RH measured by the RH sensor 312 is greater than the second predetermined RH.


The dehumidifier 436 dehumidifies (i.e., removes humidity from) air within the building. The dehumidifier 436 may be included with the air handler unit 136 or a standalone dehumidifier. For example, the dehumidifier 436 may draw moisture from the supply air (or add dry air to the supply air) before the supply air is output from vents to the building. Operation of the dehumidifier 436 may include whether the dehumidifier 436 is on or off.


Operation of the dehumidifier 436 may be controlled via wire or wirelessly by the thermostat 208. For example only, the thermostat 208 may control (by wire) whether the dehumidifier 436 included with the air handler unit 136 is on or off. As another example, the thermostat 208 may wirelessly control whether the dehumidifier 436, implemented as a standalone device, is on or off. For example only, the thermostat 208 may turn the dehumidifier 436 on when the RH measured by the RH sensor 312 is greater than a third predetermined RH. The third predetermined RH may be the same as the second predetermined RH or different than (e.g., greater than) the second predetermined RH. The thermostat 208 may leave the dehumidifier 436 on until the RH measured by the RH sensor 312 is less than a fourth predetermined RH that is less than the third predetermined RH. The thermostat 208 may turn the dehumidifier 436 off when the RH measured by the RH sensor 312 is less than the fourth predetermined RH. The fourth predetermined RH may be the same as the first predetermined RH or different than (e.g., greater than) the first predetermined RH.


The ventilator 440 vents air from within the building out of the building. This also passively draws air from outside of the building into the building. The ventilator 440 may be included with the air handler unit 136 (e.g., the inducer blower 132) or a standalone ventilator. Examples of standalone ventilators include blowers that blow air from within the building out of the building (e.g., range hoods fans, bathroom fans, the inducer blower, etc.). Operation of the ventilator 440 may include whether the ventilator 440 is on or off and, when on, a speed. The ventilator 440 may be configured to operate at a single speed or multiple different speeds.


Operation of the ventilator 440 may be controlled via wire or wirelessly by the thermostat 208. For example only, the thermostat 208 may wirelessly control whether the ventilator 440 is on or off and, if on, the speed of the ventilator 440. As one example, the thermostat 208 may turn the ventilator 440 on when the amount of VOCs measured by the VOC sensor 320 is greater than a first predetermined amount of VOCs. The thermostat 208 may leave the ventilator 440 on until the amount of VOCs measured by the VOC sensor 320 is less than a second predetermined amount of VOCs that is less than the first predetermined amount of VOCs. The thermostat 208 may turn the ventilator 440 off when the amount of VOCs measured by the VOC sensor 320 is less than the second predetermined amount of VOCs.


As another example, the thermostat 208 may turn the ventilator 440 on when the amount of carbon dioxide measured by the carbon dioxide sensor 324 is greater than a first predetermined amount of carbon dioxide. The thermostat 208 may leave the ventilator 440 on until the amount of carbon dioxide measured by the carbon dioxide sensor 324 is less than a second predetermined amount of carbon dioxide that is less than the first predetermined amount of carbon dioxide. The thermostat 208 may turn the ventilator 440 off when the amount of carbon dioxide measured by the carbon dioxide sensor 324 is less than the second predetermined amount of carbon dioxide.


The mitigation devices described above are only described as example. One or more of the example mitigation devices may be omitted. One or more other types of mitigation devices may be included. Additionally, while the example of only one of each type of mitigation device is provided, two or more of a given type of mitigation device may be included and controlled.


Changes in temperature and/or humidity also cause changes in particulate, VOCs, and/or carbon dioxide. For example, a change in temperature may cause a change in VOCs, RH, particulate, and/or carbon dioxide. As another example, a change in RH may cause a change in particulate, VOCs, and/or carbon dioxide. For example, particulate may increase as RH increases and vice versa.


The thermostat 208 therefore controls operation of the mitigation devices 424 based on all of the parameters measured by the IAQ sensor module 304 in an attempt to: adjust the temperature within a predetermined temperature range, adjust the RH within a predetermined RH range, adjust the amount of particulate (if measured) to less than a predetermined amount of particulate, adjust the amount of VOCs (if measured) to less than a predetermined amount of VOCs, and to adjust the amount of carbon dioxide (if measured) to less than a predetermined amount of carbon dioxide.



FIG. 5A includes a functional block diagram of an example monitoring system. In FIG. 5A, the IAQ control module 404 and/or the thermostat 208 are shown transmitting, using the customer router 412, data to the remote monitoring system 420 via the Internet 416. In other implementations, the IAQ control module 404 and/or the thermostat 208 may transmit the data to an external wireless receiver. The external wireless receiver may be a proprietary receiver for a neighborhood in which the building is located, or may be an infrastructure receiver, such as a metropolitan area network (such as WiMAX), a WiFi access point, or a mobile phone base station.


The remote monitoring system 420 includes a monitoring server 508 that receives data from the IAQ control module 404 and/or the thermostat 208 and maintains and verifies network continuity with the IAQ control module 404 and/or the thermostat 208. The monitoring server 508 executes various algorithms to store setpoints for the building and to store measurements from the thermostat 208 and/or the IAQ sensor module 304 taken over time.


The monitoring server 508 may notify a review server 512 when one or more predetermined conditions are satisfied. This programmatic assessment may be referred to as an advisory. Some or all advisories may be triaged by a technician to reduce false positives and potentially supplement or modify data corresponding to the advisory. For example, a technician device 516 operated by a technician may be used to review the advisory and to monitor data (in various implementations, in real-time) from the IAQ control module 404 and/or the thermostat 208 via the monitoring server 508.


A technician using the technician device 516 may review the advisory. If the technician determines that a problem or fault is either already present or impending, the technician instructs the review server 512 to send an alert to a customer device 524 that is associated with the building. The technician may determine that, although a problem or fault is present, the cause is more likely to be something different than specified by the automated advisory. The technician can therefore issue a different alert or modify the advisory before issuing an alert based on the advisory. The technician may also annotate the alert sent to the customer device 524 with additional information that may be helpful in identifying the urgency of addressing the alert and presenting data that may be useful for diagnosis or troubleshooting.


In various implementations, minor problems may not be reported to the customer device 524 so as not to alarm the customer or inundate the customer with alerts. The review server 512 (or a technician) may determine whether a problem is minor based on a threshold. For example, an efficiency decrease greater than a predetermined threshold may be reported to the customer device 524, while an efficiency decrease less than the predetermined threshold may not be reported to the customer device 524.


In various implementations, the technician device 516 may be remote from the remote monitoring system 420 but connected via a wide area network. For example only, the technician device 516 may include a computing device such as a laptop, desktop, smartphone, or tablet.


Using the customer device 524 executing an application, the customer can access a customer portal 528, which provides historical and real-time data from the IAQ control module 404 and/or the thermostat 208. The customer portal 528 may also provide setpoints and predetermined ranges for each of the measurements, local outdoor air quality data, statuses of the mitigation devices 424 (e.g., on or off), and other data to the customer device 524. Via the customer device 524, the customer may change the setpoints and predetermined ranges. The monitoring server 508 transmits changed setpoints and predetermined ranges to the thermostat 208 and/or the IAQ control module 404 for use in controlling operation of the mitigation devices 424.


The remote monitoring system 420 includes a local data server 520 that obtains local data at (outside) the building. The local data server 520 may obtain the local data from one or more local data sources 532 via a wide area network, such as the internet 416, using a geographical location of the building. The geographical location may be, for example, an address, zip code, coordinates, or other geographical identifier of the building. The remote monitoring system 420 may obtain the geographical location of the building, for example, via the customer device 524 before providing data to the customer device 524. The local data includes, for example, air temperature within a predetermined geographical area including the geographical location of the building, RH within the predetermined geographical area, amount of VOCs in the air within the predetermined geographical area, amount of particulate of the predetermined size measured by the particulate sensor 316 within the predetermined geographical area, and amount of carbon dioxide within the predetermined geographical area.



FIG. 5B includes a functional block diagram of an example monitoring system where the customer device 524 serves as a monitoring system and provides the functionality of the remote monitoring system 420. The thermostat 208 and/or the IAQ control module 404 transmit data to the customer device 524 wirelessly, such as via a Bluetooth connection, WiFi, or another wireless connection. The customer device 524 may obtain the local data from the local data sources 532 via a wide area network, such as the internet 416. Alternatively, the IAQ control module 404 or the thermostat 208 may serve as a monitoring system and provide the functionality of the remote monitoring system 420.



FIG. 6 includes an example user interface displayed by the customer device 524 during execution of the application based on data from the customer portal 528. It should be understood that the following functions are performed by the customer device 524 during execution of the application.


As shown in FIG. 6, the customer device 524 may display real-time values of the temperature, RH, amount of VOCs, amount of particulate, and amount of carbon dioxide (CO2) measured by the IAQ sensor module 304. In FIG. 6, these are illustrated in the row labeled “indoor” as they represent parameters within the building. The real-time values may be received by the customer device 524 from the monitoring server 508 via the customer portal 528.


The customer device 524 may also display real-time values of the temperature, RH, amount of VOCs, amount of particulate, and amount of carbon dioxide (CO2) measured outside of the building but within the predetermined geographical area including the geographical area of the building. In FIG. 6, these are illustrated in the row labeled “outdoor” as they represent parameters outside of the building. The real-time values may be received by the customer device 524 from the monitoring server 508 via the customer portal 528.


The customer device 524 may also display present setpoints for beginning heating (Heat) of the building, cooling (Cool) of the building, humidification (Humidify), dehumidification (Dehumidify), VOC removal (VOCs), particulate removal (Particulate), and carbon dioxide removal (Carbon Dioxide). In FIG. 6, these setpoints are illustrated in the row labeled “setpoints” as they represent setpoints for beginning associated mitigation actions within the building. The present setpoints may be received by the customer device 524 from the monitoring server 508 via the customer portal 528.


A predetermined range for a measurement may be set based on the setpoint for a measurement. For example, a predetermined range for heating may be set to the temperature setpoint for heating plus and minus a predetermined amount. A predetermined range for cooling may be set to the temperature setpoint for cooling plus and minus a predetermined amount. The predetermined amount may be user adjustable in various implementations.


The customer device 524 also allows a user to adjust one or more of the present setpoints via the customer device 524. For example, the customer device 524 may provide positive and negative adjustment inputs in association with one, more than one, or all of the setpoints to allow for adjustment of the present setpoints. FIG. 6 includes the example of + serving as the positive adjustment input and − serving as the negative adjustment input. Adjustment inputs labeled and provided differently, however, may be used.


In response to receipt of input indicative of user interaction (e.g., touching, clicking, etc.) with an adjustment input associated with a setpoint, the customer device 524 may transmit a command to the monitoring server 508 to adjust (i.e., increment or decrement) the setpoint by a predetermined amount. For example, in response to receipt of input indicative of user interaction (e.g., touching, clicking, etc.) with the positive adjustment input associated with the heating temperature setpoint, the customer device 524 may transmit a command to the monitoring server 508 to increment the heating temperature setpoint by a first predetermined amount. In response to receipt of input indicative of user interaction (e.g., touching, clicking, etc.) with the negative adjustment input associated with the heating temperature setpoint, the customer device 524 may transmit a command to the monitoring server 508 to decrement the heating temperature setpoint by the first predetermined amount. As another example, in response to receipt of input indicative of user interaction (e.g., touching, clicking, etc.) with the positive adjustment input associated with the humidification RH setpoint, the customer device 524 may transmit a command to the monitoring server 508 to increment the humidification RH setpoint by a second predetermined amount. In response to receipt of input indicative of user interaction (e.g., touching, clicking, etc.) with the negative adjustment input associated with the humidification RH setpoint, the customer device 524 may transmit a command to the monitoring server 508 to decrement the humidification RH setpoint by the second predetermined amount.


The monitoring server 508 relays (transmits) received commands for adjusting setpoints to the thermostat 208 and/or the IAQ control module 404 via the internet 416. Alternatively, the customer device 524 may transmit commands for adjusting setpoints to the thermostat 208 and/or the IAQ control module 404 directly or via the internet 416. The thermostat 208 and/or the IAQ control module 404 adjust the associated setpoints in response to the commands received from the monitoring server 508.


As discussed above, one or more than one IAQ sensor module 304 may be concurrently used within the building, such as in different rooms of the building. FIG. 7 includes an example user interface displayed by the customer device 524 during execution of the application when the building includes multiple IAQ sensor modules. In the example of FIG. 7, the measurements from each IAQ sensor module are shown in a separate column.


As also discussed above, one or more of the IAQ sensors may be omitted from an IAQ sensor module. For example, as shown in the right-most column of FIG. 7, the associated IAQ sensor module only includes a particulate sensor and a carbon dioxide sensor. The temperature, relative humidity, and VOCs of zero in the example of FIG. 7 indicate that the IAQ sensor module does not include a temperature sensor, a humidity sensor, or a VOC sensor.



FIG. 8 includes an example user interface displayed by the customer device 524 during execution of the application based on additional data indicative of present statuses of control modes and present (operation) statuses of various devices and modes of devices of the building. The present statuses may be, for example, on or off. The present status of a control mode, device, or mode of a device may be on (currently in use) or off (not currently in use). One type of indicator may be used to indicate a present status of on, while another type of indicator may be used to indicate a present status of off. The customer device 524 may display the additional data concurrently with the data from one or more IAQ modules, the local data, and/or the setpoint data.


The customer device 524 selectively displays measurements of one or more IAQ sensor modules, local data, control modes, and/or statuses from a predetermined period of time. The predetermined period of time may be, for example, the present day, a predetermined number of days (including or not including the present day), a predetermined number of hours before a present time, a predetermined number of minutes before the present time, or another suitable period. By default, a predetermined period may be selected (e.g., the present day), but a user may select a different predetermined period and the customer device 524 may display the data for the selected predetermined period.



FIG. 9 includes an example user interface displayed by the customer device 524 during execution of the application for the present day (from 12:01 pm of the present day to the present time (approximately 10 pm in this example)). The customer device 524 displays data selected by a user of the customer device 524. By default, all data may be selected, but a user may select less than all of the data to be displayed, and the customer device 524 may display only the selected data.


For example, in FIG. 9, only outdoor temperature (from the local data), outdoor RH (from the local data), indoor temperature (from the IAQ sensor module 304), indoor RH (from the IAQ sensor module 304), and particulate (from the IAQ sensor module 304) are graphed over time. Indicators of the statuses of the cooling mode, the heating mode, and use of the circulator blower 108 are also concurrently shown over time. Indoor Carbon dioxide (from the IAQ sensor module 304, if measured) and indoor VOCs (from the IAQ sensor module 304, if measures) are not graphed over time in this example.


The customer device 524 selectively displays a user interface for user selection of a priority for mitigating deviations in IAQ parameters (temperature, RH, particulate, VOCs, carbon dioxide). For example, the customer device 524 may display a user interface that allows user assignment of an order of prioritization for: (i) temperature control: (ii) RH control; (iii) particulate control; (vi) VOC control; and (v) carbon dioxide control. Temperature control may refer to maintaining, as much as possible, the temperature within the building within a predetermined temperature range. RH control may refer to maintaining, as much as possible, the RH within the building within a predetermined temperature range. Particulate control may refer to maintaining, as much as possible, the amount of particulate within the building less than a predetermined amount of particulate. VOC control may refer to maintaining, as much as possible, the amount of VOCs within the building less than a predetermined amount of VOCs. Carbon dioxide control may refer to maintaining, as much as possible, the amount of carbon dioxide within the building less than a predetermined amount of carbon dioxide. The order of prioritization for (i)-(v) may be initially preset, but may be user selected, as stated above.


The thermostat 208 and/or the IAQ control module 404 may control the mitigation devices 424 based on the prioritization (order). For example, when particulate control is the first priority, the thermostat 208 may control the mitigation devices 424 to decrease particulate as quickly as possible as opposed to, for example, controlling the mitigation devices 424 to more quickly adjust temperature or RH or to more quickly decrease the amount of VOCs and/or the amount of carbon dioxide.


The user interfaces provided by the customer device 524 provide visual information to the user regarding real-time measurements, historical measurements over a period of time, trends, and efficacy of IAQ mitigation and control. The user interfaces also enable the user to adjust setpoints to be used to control the mitigation devices 424 to control comfort and IAQ within the building. The user interfaces also enable the user to adjust prioritization in which IAQ conditions are mitigated. All of the above improves IAQ within the building and user experience regarding IAQ within the building.



FIG. 10 includes a block diagram of an example implementation of a mitigation system using the example of the IAQ control module 404. While the example of the IAQ control module 404 is provided for purposes of discussion, the modules of the IAQ control module 404 may alternatively be implemented within the thermostat 208 or within a combination of the thermostat 208 and the IAQ control module 404.


A mitigation module 1004 selectively turns on and off ones of the mitigation devices 424 based on the associated ones of the IAQ parameters and respective thresholds. A thresholds module 1008 sets the thresholds, as discussed further below. For example, the mitigation module 1004 may turn one or more filtering devices (e.g., the air cleaner/purifier 428 and/or the circulator blower 108) on when the amount of particulate measured by the particulate sensor 316 is greater than a first ON threshold amount of particulate and a second ON threshold amount of particulate, such as described in FIGS. 11 to 13. The mitigation module 1004 may leave the one or more filtering devices on until the amount of particulate measured by the particulate sensor 316 becomes less than an OFF threshold amount of particulate and one or more OFF conditions are satisfied. The mitigation module 1004 may turn the one or more filtering devices off when the amount of particulate measured by the particulate sensor 316 is less than the OFF threshold amount of particulate and one or more OFF conditions are satisfied.


The mitigation module 1004 may turn the ventilator 440 on when the amount of VOCs measured by the VOC sensor 320 is greater than a first ON VOC threshold and a second ON VOC threshold. The mitigation module 1004 may leave the ventilator 440 on until the amount of VOCs measured by the VOC sensor 320 is less than an OFF VOC threshold and one or more OFF conditions are satisfied. The mitigation module 1004 may turn the ventilator 440 off when the amount of VOCs measured by the VOC sensor 320 is less than the OFF VOC threshold and one or more OFF conditions are satisfied.


The mitigation module 1004 may turn the ventilator 440 on when the amount of carbon dioxide measured by the carbon dioxide sensor 324 is greater than a first ON carbon dioxide threshold and a second ON carbon dioxide threshold. The mitigation module 1004 may leave the ventilator 440 on until the amount of carbon dioxide measured by the carbon dioxide sensor 324 is less than an OFF carbon dioxide threshold. The mitigation module 1004 may turn the ventilator 440 off when the amount of carbon dioxide measured by the carbon dioxide sensor 324 is less than the OFF carbon dioxide threshold.


The thresholds module 1008 sets the first ON threshold amount of particulate, the second ON threshold amount of particulate, and the OFF threshold amount of particulate. The thresholds module 1008 also sets the first ON VOC threshold, the second ON VOC threshold, and the OFF VOC threshold. The thresholds module 1008 also sets the first ON carbon dioxide threshold, the second ON carbon dioxide threshold, and the OFF carbon dioxide threshold.


The thresholds module 1008 sets the first ON threshold amount of particulate based on a clean amount of particulate in the air and an ON predetermined amount of particulate. For example, the thresholds module 1008 may set the first ON threshold amount of particulate to the clean amount of particulate plus the ON predetermined amount of particulate. The ON predetermined amount of particulate may be a fixed predetermined value or may be a variable, such as a percentage (less than 100 percent) or a fraction (less than 1) of the clean amount of particulate. This may ensure that there is no nuisance due to sensor response error variability.


The thresholds module 1008 sets the second ON threshold amount of particulate to a fixed predetermined amount of particulate. The fixed predetermined amount of particulate may be greater than, less than, or equal to the clean amount of particulate.


The thresholds module 1008 sets the OFF threshold amount of particulate based on (a) an OFF predetermined amount of particulate and (b) the greater one of the first ON threshold amount of particulate and the second ON threshold amount of particulate. For example, the thresholds module 1008 may set the OFF threshold amount of particulate to (a) the OFF predetermined amount of particulate plus (b) the greater one of the first ON threshold amount of particulate and the second ON threshold amount of particulate. The OFF predetermined amount of particulate may be a fixed predetermined value or may be a variable, such as a percentage (less than 100 percent) or a fraction (less than 1) of the clean amount of particulate. The OFF threshold amount of particulate will therefore be greater than both of the first and second ON threshold amounts of particulate.


The thresholds module 1008 sets the first ON VOC threshold based on a clean amount of VOCs in the air and an ON predetermined amount of VOCs. For example, the thresholds module 1008 may set the first ON VOC threshold to the clean amount of VOCs plus the ON predetermined amount of VOCs. The ON predetermined amount of VOCs may be a fixed predetermined value or may be a variable, such as a percentage (less than 100 percent) or a fraction (less than 1) of the clean amount of VOCs.


The thresholds module 1008 sets the second ON VOC threshold amount of particulate to a fixed predetermined amount of VOCs. The fixed predetermined amount of VOCs may be greater than, less than, or equal to the clean amount of VOCs.


The thresholds module 1008 sets the OFF VOC threshold based on (a) an OFF predetermined amount of VOCs and (b) the greater one of the first ON VOC threshold and the second ON VOC threshold. For example, the thresholds module 1008 may set the OFF VOC threshold amount to (a) the OFF predetermined amount of VOCs plus (b) the greater one of the first ON VOC threshold and the second ON VOC threshold. The OFF predetermined amount of VOCs may be a fixed predetermined value or may be a variable, such as a percentage (less than 100 percent) or a fraction (less than 1) of the clean amount of VOCs. The OFF VOC threshold will therefore be greater than both of the first and second ON VOC thresholds.


The thresholds module 1008 sets the first ON carbon dioxide threshold based on a clean amount of carbon dioxide in the air and an ON predetermined amount of carbon dioxide. For example, the thresholds module 1008 may set the first ON carbon dioxide threshold to the clean amount of carbon dioxide plus the ON predetermined amount of carbon dioxide. The ON predetermined amount of carbon dioxide may be a fixed predetermined value or may be a variable, such as a percentage (less than 100 percent) or a fraction (less than 1) of the clean amount of carbon dioxide.


The thresholds module 1008 sets the second ON carbon dioxide threshold amount of particulate to a fixed predetermined amount of carbon dioxide. The fixed predetermined amount of carbon dioxide may be greater than, less than, or equal to the clean amount of carbon dioxide.


The thresholds module 1008 sets the OFF carbon dioxide threshold based on (a) an OFF predetermined amount of carbon dioxide and (b) the greater one of the first ON carbon dioxide threshold and the second ON carbon dioxide threshold. For example, the thresholds module 1008 may set the OFF carbon dioxide threshold amount to (a) the OFF predetermined amount of carbon dioxide plus (b) the greater one of the first ON carbon dioxide threshold and the second ON carbon dioxide threshold. The OFF predetermined amount of carbon dioxide may be a fixed predetermined value or may be a variable, such as a percentage (less than 100 percent) or a fraction (less than 1) of the clean amount of carbon dioxide. The OFF carbon dioxide threshold will therefore be greater than both of the first and second ON carbon dioxide thresholds.


A clean module 1012 sets the clean amount of particulate, the clean amount of VOCs, and the clean amount of carbon dioxide. The clean amounts can be derived for a given building as the average from the lowest amounts of particulate after the mitigation ON cycles. This calculation may be performed during the first week after initial installation and updated daily, weekly, monthly, annually, or as needed.


The clean module 1012 monitors the date and time, the IAQ parameters, and the mitigation statuses. The clean module 1012 sets the clean amount of particulate based on or equal to an average of all of the amounts of particulate measured while particulate mitigation was OFF (i.e., the filtering device(s) were OFF) during a last predetermined period, such as the last 24 hours. Measurements of the amount of particulate taken while particulate mitigation was ON (one or more of the filtering device(s) were ON) are not considered in the determination of the clean amount of particulate. The clean amount of particulate represents a minimum amount of particulate that the equipment of the building is capable of achieving.


The clean module 1012 sets the clean amount of VOCs based on or equal to an average of all of the amounts of VOCs measured while VOC mitigation was OFF (i.e., the ventilator 440 was OFF) during a last predetermined period, such as the last 24 hours. Measurements of the amount of VOCs taken while VOC mitigation was ON (the ventilator 440 was ON) are not considered in the determination of the clean amount of VOCs. The clean amount of particulate represents a minimum amount of VOCs that the equipment of the building is capable of achieving.


The clean module 1012 sets the clean amount of carbon dioxide based on or equal to an average of all of the amounts of carbon dioxide measured while carbon dioxide mitigation was OFF (i.e., the ventilator 440 was OFF) during a last predetermined period, such as the last 24 hours. Measurements of the amount of carbon dioxide taken while carbon dioxide mitigation was ON (the ventilator 440 was ON) are not considered in the determination of the clean amount of carbon dioxide. The clean amount of particulate represents a minimum amount of carbon dioxide that the equipment of the building is capable of achieving.



FIG. 11 includes an example graph of an IAQ parameter (e.g., amount of particulate, amount of VOCs, or amount of carbon dioxide) over time. In the example of FIG. 11, the clean amount of that IAQ parameter is less than the first ON threshold for that parameter, and the first ON threshold for that parameter is less than the second ON threshold for that parameter.



FIG. 12 includes an example graph of an IAQ parameter (e.g., amount of particulate, amount of VOCs, or amount of carbon dioxide) over time. In the example of FIG. 12, the clean amount of that IAQ parameter is less than the second ON threshold for that parameter, and the second ON threshold for that parameter is less than the first ON threshold for that parameter.



FIG. 13 includes an example graph of an IAQ parameter (e.g., amount of particulate, amount of VOCs, or amount of carbon dioxide) over time. In the example of FIG. 13, the second ON threshold for that parameter is less than the clean amount for that IAQ parameter, and the clean amount for that IAQ parameter is less than the first ON threshold for that parameter.


The use of both of the first and second ON thresholds may avoid nuisance mitigation cycles, for example, where the home is located in an environment where the outdoor pollutant levels are directly impacting the clean level in the home. In this example, the clean level may be close to or greater than second ON threshold (as depicted in FIGS. 12 and 13), and the clean level may vary during the year, such as by season. The use of both of the first and second ON thresholds may avoid nuisance mitigation cycles, for example, when sensor variability may cause a higher than normal measurement.


In the examples of FIGS. 11-13, the mitigation module 1004 turns mitigation of that IAQ parameter ON at time X, when the IAQ parameter is greater than both of the first and second ON thresholds. Y represents the OFF threshold for the parameter. 1, 2, and 3 are potential times when ones of the OFF conditions are satisfied and mitigation module 1004 turns mitigation of that IAQ parameter OFF.


The OFF conditions include: the IAQ parameter being less than or equal to the clean amount of that IAQ parameter; the slope of the IAQ parameter becoming greater than a predetermined negative value and approaching zero (e.g., within a predetermined amount of zero); and the passing of a (time) period after the IAQ parameter becomes less than the OFF threshold. The period may be a predetermined fixed period (e.g., 1 hour) or a period determined, such as based on a time to capacity of the mitigation device(s).


In FIGS. 11-13, time 1 corresponds to when the IAQ parameter is less than or equal to the clean amount of that IAQ parameter. Time 2 corresponds to when the slope of the IAQ parameter is greater than the predetermined negative value and approaching zero. Time 3 corresponds to when the period has passed after the IAQ parameter is less than the OFF threshold.


Use of the OFF conditions may ensure that the IAQ parameters are brought down close to clean amounts, respectively. This therefore provides a more effective control and mitigation strategy than simply using a hard OFF threshold for turning OFF mitigation. Additionally, this ensures that mitigation is not performed for an excessive amount of time.


In various implementations, a time to capacity module 1016 may determine the period, based on an initial value of the IAQ parameter, a later value of the IAQ parameter, and characteristics of the building and the mitigation device(s). For example, for particulate matter mitigation, the time to capacity module 1016 may set the period by solving the following equation for the period:








(

Later



PM
/
Initial



PM

)

=


(

1
-


afr
vol

*
efficiency


)

period


,





where period is the period, later PM is the later amount of particulate, initial PM is the initial amount of PM, afr is an air flow rate (e.g., in cubic feet per minute (CFM)) of filtering device(s), vol is an internal volume (e.g., in cubic feet) of the building, and efficiency is an efficiency (e.g., particulate filtering percentage) of a filter of the filtering device(s). In the example of turning off, the Initial PM may be equal to the peak amount of particulate that occurred at or shortly after the filtering device(s) were turned on, and the Later PM may be the clean amount of particulate.



FIG. 19 includes an example graph of amount of particulate over time (measured mitigation period) during mitigation events. Dashed traces 1904 and 1908 track actual amounts of particulate measured using a particulate sensor during mitigation events with MERV 8 and MERV 14 rated filters. Solid traces 1912 and 1916 track amounts of particulate estimated using the equation above (solving for Later PM) during mitigation events with MERV 8 and MERV 14 rated filters. As shown, the estimated amounts closely track the actual amounts over time for different types of filters.


For carbon dioxide or VOC mitigation, the time to capacity module 1016 may set the period by solving the following equation for the period:








(

Later
/
Initial

)

=


(

1
-


afr
vol

*
percentage


)

period


,





where period is the period, Later is the later amount of VOC or carbon dioxide, Initial is the initial amount of VOC or carbon dioxide, afr is an air flow rate (e.g., in CFM) of the fresh air ventilator 440 (e.g., one or more bath fans), vol is the internal volume (e.g., in cubic feet) of the building, and percentage is the percentage of the volume of the building that the ventilator 440 will circulate out of the building per minute (e.g., 160 cfm/16000 cubic foot building=1 percent). The percentage may be a fixed value or may be a variable based on which ventilator(s) are on and whether one or more other mitigation devices are on. For example, the percentage may be multiplied by 1.5 if the circulator blower 108 is also on simultaneously with the fresh air ventilator(s). In the example of turning off, Initial may be equal to the peak VOC value or the peak carbon dioxide value that occurred shortly at or shortly after the ventilator(s) was(were) turned on, and Later may be the clean VOC amount or the clean carbon dioxide amount.



FIG. 20 includes an example graph of amount of VOCs over time (measured mitigation period) during a mitigation event. Dashed trace 2004 tracks actual amounts of VOCs measured using a VOC sensor during mitigation events with both a bath fan (BF) and a circulator blower (WH) of an air handler unit ON. Solid trace 2008 tracks amounts of VOCs estimated using the equation above (solving for Later) during mitigation events with both the bath fan (BF) and the circulator blower (WH) of the air handler unit ON. As shown, the estimated amounts closely track the actual amounts over time.


In various implementations, the period may be determined differently and be used for other reasons. For example, the period may be compared with a measured value of the period to identify a fault, such as a dirty filter, or impending filter life. As another example, the period may be used to classify a mitigation event as a type of mitigation event and a severity.


An example of a failure and impending failure of a mitigation device includes a replacement of the filter 104. Over time, the filter 104 will fill with particulate from the air passing through the filter 104. The equation above could be solved for the period to determine an expected period for the filter 104 to mitigate particulate when the filter 104 is new (initial installation or filter replacement). For example, for particulate matter mitigation, the time to capacity module 1016 may set the period by solving the following equation for the period:








(

Later



PM
/
Initial



PM

)

=


(

1
-


afr
vol

*
efficiency


)

period


,





where period is the period, Later PM is the later amount of particulate, Initial PM is the initial amount of PM, afr is an air flow rate (e.g., in CFM) of the filter 104, vol is the internal volume (e.g., in cubic feet) of the building, and efficiency is an efficiency (e.g., particulate filtering percentage) of the filter 104 when new. In this example, the Initial PM may be equal to the amount of particulate at the time when the circulator blower 108 is turned on to decrease the amount of particulate in the air, and the Later PM may be the clean amount of particulate. The period would therefore reflect the expected period for the filter 104, when new, to mitigate particulate to the clean level.


When the circulator blower 108 is turned on to decrease (mitigate) the amount of particulate in the air, a timer module 1020 may reset and start a measured mitigation period. The timer module 1020 may increase the measured mitigation period as time passes while the circulator blower 108 is on.


When the mitigation module 1004 turns off the air handler unit 136 circulator blower 108 to stop decreasing the amount of particulate in the air, the measured mitigation period reflects the period that the circulator blower 108 was continuously on to decrease the amount of particulate in the air. A diagnostic module 1024 may compare the expected period for the filter 104, when new, to mitigate particulate down to the clean level with the measured mitigation period when the mitigation module 1004 turns off the circulator blower 108. The diagnostic module 1024 may determine an amount that the filter 104 is filled based on the comparison. The diagnostic module 1024 may determine the amount that the filter 104 is filled, for example, based on a lookup table or an equation that relates measured mitigation periods to filled amounts of the filter 104 given the expected period for the filter when new. The lookup table or equation may be calibrated to increase the amount that the filter 104 is filled as the measured mitigation period increases and vice versa.


As the filter 104 accumulates particulate over time, based on the comparison, the diagnostic module 1024 may display an indicator on the customer device 524 whether the filter 104 should be replaced based on a predetermined amount of particulate accumulation. For example, the diagnostic module 1024 may display the indicator to replace the filter 104 when the measured mitigation period when the mitigation module 1004 turns off the circulator blower 108 is greater than the expected period for the filter 104, when new, by at least a predetermined amount such as two or three times the expected period or X minutes, where X is an integer greater than zero. For example, the expected period for new filter may be 40 minutes while the period for a filter near end of life may be 120 minutes (3 times longer). While the examples of two and three times the expected period are provided, another predetermined amount may be used. The diagnostic module 1024 may display an indicator that replacement of the filter 104 is not needed when the measured mitigation period when the mitigation module 1004 turns off the circulator blower 108 is not greater than the expected period for the filter 104, when new, by at least the predetermined amount.


In various implementations, the diagnostic module 1024 may determine a predicted period until the filter 104 should be replaced based on the measured mitigation period when the mitigation module 1004 turns off the circulator blower 108. For example, the diagnostic module 1024 may decrease the predicted period as the measured mitigation period increases toward a predetermined replacement period. The predetermined replacement period may be set based on the expected period and the predetermined amount. The diagnostic module 1024 may display the predicted period on the customer device 524. The diagnostic module 1024 may display the indicator to replace the filter 104 when the expected period is less than or equal to a predetermined value, such as zero.



FIG. 14 includes an example graph of particulate matter (PM) over time. FIG. 14 includes an example particulate trace 1404 for a first mitigation event of particulate matter (PM) when the filter 104 is new and clean, such as shortly after installation or replacement of the filter 104. FIG. 14 also include an example particulate trace 1408 for a second mitigation event of particulate when the filter 104 is filled for a long period and needs replacement. As illustrated, the measured mitigation period of the second mitigation event is longer than the measured mitigation period of the first mitigation event.


Referring again to FIG. 10, from a first mitigation event of a parameter to a next mitigation event of the parameter, assuming that the mitigation events are of a same magnitude and length (of parameter production), the measured mitigation period should not vary significantly. However, all mitigation events do not have the same magnitude and/or length. For example, one candle being lit for a short amount of time may provide for a shorter mitigation event (a mitigation event having a shorter measured mitigation period) than a longer cooking event (which will have a longer measured mitigation period).



FIG. 15 includes an example graph of particulate matter (PM) over time. FIG. 15 includes example particulate traces 1504 and 1508 for first and second mitigation events of particulate when the filter 104 is approximately the same level of filled/cleanliness. The particulate trace 1504 corresponds to a shorter mitigation event, such as for a candle being lit. The particulate trace 1508 corresponds to a longer mitigation event, such as for cooking.


Areas G1 and G2 under the traces 1504 and 1508 in FIG. 15 represent the amount of particulates during the event generation phase corresponding to the traces 1504 and 1508, respectively. Areas M1 and M2 under the traces 1504 and 1508 in FIG. 15 represent the amount of particulates mitigated during the event mitigation phases corresponding to the traces 1504 and 1508, respectively. When G2 is greater than G1, M2 should also be greater than M1. The relationship between the area G and the area M of a mitigation event, the relationship between the area G of a mitigation event and the area G of another mitigation event, and/or the relationship between the area M of a mitigation event and the area M of another mitigation event can be used to classify the event type and the severity.


Referring back to FIG. 10, an event module 1028 classifies a mitigation event as a type of a mitigation event based on the measured mitigation period when the mitigation module 1004 shuts the mitigation device(s) off. The event module 1028 may classify each mitigation event.


For example, the event module 1028 may classify a mitigation event as a first type of mitigation event when the measured mitigation period when the mitigation module 1004 shuts the mitigation device(s) off is less than a first predetermined period. The event module 1028 may classify a mitigation event as a second type of mitigation event when the measured mitigation period is greater than a second predetermined period that is greater than the first predetermined period. The event module 1028 may classify a mitigation event as a third type of mitigation event when the measured mitigation period is greater than the first predetermined period and less than the second predetermined period. While the example of three different types of mitigation events is provided, a greater or fewer number of types are possible.


As another example, the event module 1028 may classify a mitigation event as a type of mitigation event when a profile of the decrease in the IAQ parameter matches a predetermined profile associated with the type of mitigation event. A different predetermined profile may be stored for each different type of mitigation event. The event module 1028 may classify the mitigation event as the one of the types of mitigation events associated with the one of the predetermined profiles that most closely matches the profile of the IAQ parameter during the mitigation event.


The event module 1028 stores the classifications in memory. The customer device 524 may display the classified type of a mitigation event in association with that data.



FIG. 16 includes a flowchart depicting an example method of controlling mitigation of an IAQ parameter, such as the amount of particulate, the amount of carbon dioxide, or the amount of VOCs. Control begins with 1604 where the mitigation module 1004 receives the IAQ parameter and the clean level for the IAQ parameter. The clean module 1012 determines the clean level for the IAQ parameter based on the values of the IAQ parameter while mitigation of the IAQ parameter was off during the last predetermined period, such as the last 24 hours prior to the present time.


At 1608, the thresholds module 1008 determines the first and second ON thresholds and the OFF threshold for the IAQ parameter. The thresholds module 1008 determines the first ON threshold for the IAQ parameter based on the clean level and the ON predetermined amount. The thresholds module 1008 sets the second ON threshold to the predetermined value. The thresholds module 1008 sets the OFF threshold for the IAQ parameter based on the OFF predetermined amount and the greater one of the first and second ON thresholds for the IAQ parameter.


At 1612, the mitigation module 1004 determines whether the mitigation device(s) for the IAQ parameter is(are) OFF. If 1612 is true, control continues with 1616. If 1612 is false, control transfers to 1624, which is discussed further below.


At 1616, the mitigation module 1004 determines whether the IAQ parameter is greater than both of the first and second ON thresholds for the IAQ parameter. If 1616 is true, the mitigation module 1004 turns the mitigation device(s) for the IAQ parameter ON at 1620, and control returns to 1604. If 1616 is false, the mitigation module 1004 maintains the mitigation device(s) for the IAQ parameter OFF, and control returns to 1604.


At 1624 (when the mitigation device(s) is(are) ON), the mitigation module 1004 determines whether the IAQ parameter is less than the OFF threshold for the IAQ parameter and at least one of the OFF conditions are satisfied. If 1624 is true, the mitigation module 1004 turns the mitigation device(s) off at 1628 and control returns to 1604. If 1624 is false, the mitigation module 1004 maintains the mitigation device(s) on, and control returns to 1604.



FIG. 17 includes a flowchart depicting an example method of indicating whether to replace the filter 104 of the circulator blower 108. Control begins with 1704 where the time to capacity module 1016 determines the expected period of particulate mitigation events when the filter 104 is new, as described above. At 1708, the mitigation module 1004 receives the amount of particulate in the air. At 1712, the mitigation module 1004 determines whether the circulator blower 108 is presently off for particulate mitigation. If 1712 is true, control continues with 1716. If 1712 is false, control transfers to 1724, which is discussed further below.


At 1716, the mitigation module 1004 determines whether to turn the circulator blower 108 ON to mitigate the amount of particulate in the air, as discussed above. If 1716 is true, the mitigation module 1004 turns the circulator blower 108 ON at 1720. The timer module 1020 also resets the measured mitigation period and starts the measured mitigation period. The measured mitigation period increases as time passes. Control returns to 1708. If 1716 is false, the mitigation module 1004 maintains the circulator blower 108 off, and control returns to 1708.


At 1724, the mitigation module 1004 determines whether to turn the circulator blower 108 OFF to stop mitigating particulate, as discussed above. If 1724 is true, control continues with 1728. If 1724 is false, the mitigation module 1004 leaves the circulator blower 108 ON, and control returns to 1708.


At 1728, the mitigation module 1004 turns the circulator blower 108 OFF, and the timer module 1020 stops the measured mitigation period. At 1732, the diagnostic module 1024 determines whether the measured mitigation period is greater than the expected period by at least the predetermined amount. If 1732 is true, the diagnostic module 1024 generates the indicator to replace the filter 104 of the circulator blower 108 at 1740, and control returns to 1708. For example, the diagnostic module 1024 may set the indicator to a first state. If 1732 is false, the diagnostic module 1024 generates the indicator to indicate that replacement of the filter 104 is not yet needed at 1736, and control returns to 1708. For example, the diagnostic module 1024 may set the indicator to a second state.



FIG. 18 includes a flowchart depicting an example method of classifying mitigation events. Control begins with 1804 where the time to capacity module 1016 determines the expected period of a mitigation event (e.g., a particulate mitigation event, a VOC mitigation event, or a carbon dioxide mitigation event) of an IAQ parameter (e.g., particulate, VOCs, or carbon dioxide), as described above. At 1808, the mitigation module 1004 receives the IAQ parameter.


At 1812, the mitigation module 1004 determines whether the mitigation device(s) that mitigate the IAQ parameter are OFF for mitigation of that IAQ parameter. If 1812 is true, control continues with 1816. If 1812 is false, control transfers to 1824, which is discussed further below.


At 1816, the mitigation module 1004 determines whether to turn on the mitigation device(s) associated with the IAQ parameter to mitigate that IAQ parameter, as discussed above. If 1816 is true, the mitigation module 1004 turns on the mitigation device(s) at 1820. The timer module 1020 also resets the measured mitigation period and starts the measured mitigation period. The measured mitigation period increases as time passes. Control returns to 1808. If 1816 is false, the mitigation module 1004 maintains the mitigation device(s) off and control returns to 1808.


At 1824, the mitigation module 1004 determines whether to turn the mitigation device(s) OFF to stop mitigating the IAQ parameter, as discussed above. If 1824 is true, control continues with 1828. If 1824 is false, the mitigation module 1004 leaves the mitigation device(s) ON, and control returns to 1808.


At 1828, the mitigation module 1004 turns the mitigation device(s) associated with the IAQ parameter ON, and the timer module 1020 stops the measured mitigation period. At 1832, the event module 1028 determines the classification for the mitigation event based on the measured mitigation period, as discussed above. The event module 1028 stores the classification in memory.



FIG. 21 includes a block diagram of an example implementation of a mitigation system using the example of the thermostat 208. While the example of the thermostat 208 is provided for purposes of discussion, the modules of the thermostat 208 may alternatively be implemented within the IAQ control module 404 or within a combination of the thermostat 208 and the IAQ control module 404.


A temperature difference module 2104 may determine a temperature difference within the building based on a difference between: (i) a highest temperature measured by one of the IAQ sensor modules and the thermostat 208; and (ii) a lowest temperature measured by one of the IAQ sensor modules and the thermostat 208. This provides a greatest difference in temperature between different locations where temperature is measured within the building. For example, the temperature difference module 2104 may set the temperature difference based on or equal to (i) minus (ii).


A baseline module 2108 determines baseline values (Baselines) for the IAQ parameters. For example, the baseline module 2108 may determine a baseline value of the temperature difference, a baseline high RH, a baseline low RH, a baseline amount of particulate, a baseline amount of VOCs, and a baseline amount of carbon dioxide.


The baseline module 2108 may determine the baseline values, for example, based on an average (e.g., non-weighted) of the respective IAQ parameters over a last predetermined window period before the present time. The predetermined window period may be calibratable and may be, for example, a week, a month, or another suitable period. For example, the baseline module 2108 may set the baseline temperature difference based on or equal to an average of all of the temperature differences over the last predetermined window period before the present time. The baseline module 2108 may set a baseline mid RH based on or equal to an average of all of the RHs measured using the RH sensor 312 over the last predetermined window period before the present time. The baseline module 2108 may set the baseline high RH based on or equal to the baseline mid RH plus a predetermined RH. The baseline module 2108 may set the baseline low RH based on or equal to the baseline mid RH minus the predetermined RH.


The baseline module 2108 may set the baseline amount of particulate based on or equal to an average of the amounts of particulate measured using the particulate sensor 316 over the last predetermined window period before the present time. In the example of the baseline amount of particulate, the baseline module 2108 may filter out (from the averaging) amounts of particulate measured by the particulate sensor 316 during excursions.


The baseline module 2108 may set the baseline amount of carbon dioxide based on or equal to an average of the amounts of carbon dioxide measured using the carbon dioxide sensor 324 over the last predetermined window period before the present time. In the example of the baseline amount of carbon dioxide, the baseline module 2108 may filter out (from the averaging) amounts of carbon dioxide measured by the carbon dioxide sensor 324 during excursions.


The baseline module 2108 may set the baseline amount of VOCs based on or equal to an average of the amounts of VOCs measured using the VOC sensor 320 over the last predetermined window period before the present time. In the example of the baseline amount of VOCs, the baseline module 2108 may filter out (from the averaging) amounts of carbon dioxide measured by the carbon dioxide sensor 324 during excursions. The baseline values therefore correspond to normalized values of the respective IAQ parameters within the building.



FIG. 22 includes example graphs of amounts of particulate, amounts of VOCs, and amounts of carbon dioxide over time. Some example excursions are circled. The baseline module 2108 may identify excursions based on the existence of a magnitude of a rate of change (e.g., between consecutive values) that is greater than a predetermined rate of change. Excursions may include values between when a magnitudes of rate of change is greater than the predetermined rate of change and when the IAQ parameters returns to the baseline values.


Referring back to FIG. 21, a control module 2112 selectively enables, disables, and resets areas determined by an area module 2116. The area module 2116 determines areas between respective curves of the IAQ parameters and the respective baseline value for each of the IAQ parameters. For example, the area module 2116 determines an area between a curve formed by the temperature difference and the baseline temperature difference. The area module 2116 determines an area between a high RH curve formed by the RH and the baseline high RH. The area module 2116 determines an area between a low RH curve formed by the RH and the baseline low RH. The area module 2116 determines an area between a curve formed by the amount of particulate and the baseline amount of particulate. The area module 2116 determines an area between a curve formed by the amount of VOCs and the baseline amount of VOCs. The area module 2116 determines an area between a curve formed by the amount of carbon dioxide and the baseline amount of carbon dioxide.



2116 The control module 2112 may enable an area calculation for one of the IAQ parameters, for example, when the one of the IAQ parameters is greater than a respective predetermined value (or threshold). For example, the control module 2112 may enable the area calculation for the temperature difference when the temperature difference is greater than a predetermined temperature difference. The control module 2112 may enable the area calculation for high RH when the RH is greater than the third predetermined RH. The control module 2112 may enable the area calculation for low RH when the RH is less than the first predetermined RH. The control module 2112 may enable the area calculation for particulate matter when the amount of particulate matter is greater than the predetermined amount of particulate matter. The control module 2112 may enable the area calculation for VOCs when the amount of VOCs is greater than the predetermined amount of VOCs. The control module 2112 may enable the area calculation for carbon dioxide when the amount of carbon dioxide is greater than the predetermined amount of carbon dioxide.


In various implementations, to enable the area calculation for one of the IAQ parameters, the control module 2112 may also require a rate of change (ROC) of the one of the IAQ parameters to be greater than a predetermined enabling ROC that is greater than zero. The control module 2112 may disable the area calculation for one of the IAQ parameters, for example, when the ROC of the one of the IAQ parameters is less than the predetermined enabling ROC. The control module 2112 may reset the area calculation for one of the IAQ parameters, for example, when the one of the IAQ parameters is less than the respective baseline value or less than the respective baseline value (continuously) for at least a predetermined reset period. This may be performed for each of the IAQ parameters. In the example of RH, the control module 2112 may reset the area calculation for low RH when the RH is greater than the baseline low RH value or greater than the baseline low RH value (continuously) for at least a predetermined reset period.


When the area of one of the IAQ parameters is greater than a predetermined mitigation value, a mitigation module 2120 operates one or more of the mitigation devices 424 to adjust (e.g., decrease or increase in the example of low RH) that one of the IAQ parameters. For example, the mitigation module 2120 may turn the air cleaner/purifier 428 on when the area for particulate is greater than a predetermined particulate mitigation value. The mitigation module 2120 may leave the air cleaner/purifier 428 on until the amount of particulate measured by the particulate sensor 316 is less than the second predetermined amount of particulate. The mitigation module 2120 may turn the air cleaner/purifier 428 off when the amount of particulate measured by the particulate sensor 316 is less than the second predetermined amount of particulate. In various implementations, the mitigation module 2120 may vary the speed of the air cleaner/purifier 428 based on the amount of particulate measured by the particulate sensor 316. For example, the mitigation module 2120 may increase the speed of the air cleaner/purifier 428 as the amount of particulate (or the area under the curve) increases and vice versa.


The mitigation module 2120 may turn the humidifier 432 on when the area for low RH is greater than a predetermined low RH mitigation value. The mitigation module 2120 may leave the humidifier 432 on until the RH measured by the RH sensor 312 is greater than the second predetermined RH. The mitigation module 2120 may turn the humidifier 432 off when the RH measured by the RH sensor 312 is greater than the second predetermined RH.


The mitigation module 2120 may turn the dehumidifier 436 on when the area for high RH is greater than a predetermined high RH mitigation value. The mitigation module 2120 may leave the dehumidifier 436 on until the RH measured by the RH sensor 312 is less than the fourth predetermined RH. The mitigation module 2120 may turn the dehumidifier 436 off when the RH measured by the RH sensor 312 is less than the fourth predetermined RH.


The mitigation module 2120 may turn the ventilator 440 on when the area for VOCs is greater than a predetermined VOCs mitigation value. The mitigation module 2120 may leave the ventilator 440 on until the amount of VOCs measured by the VOC sensor 320 is less than the second predetermined amount of VOCs. The mitigation module 2120 may turn the ventilator 440 off when the amount of VOCs measured by the VOC sensor 320 is less than the second predetermined amount of VOCs.


As another example, the mitigation module 2120 may turn the ventilator 440 on when the area for carbon dioxide is greater than a predetermined carbon dioxide mitigation value. The mitigation module 2120 may leave the ventilator 440 on until the amount of carbon dioxide measured by the carbon dioxide sensor 324 is less than the second predetermined amount of carbon dioxide. The mitigation module 2120 may turn the ventilator 440 off when the amount of carbon dioxide measured by the carbon dioxide sensor 324 is less than the second predetermined amount of carbon dioxide.


When two or more of the areas are greater than the respective predetermined mitigation values, the mitigation module 2120 may mitigate the respective IAQ parameters, for example, in order according to the prioritization or in order of occurrence.


Using the areas (instead of comparisons of the IAQ values with the respective predetermined values) to trigger turning on of one or more of the mitigation devices 424 may decrease a possibility of mitigation, alerting, etc. in response to IAQ sensor noise and/or error. This may maintain or enhance user trust in the system. Under some circumstances, however, the presence of simultaneous rises in two or more of the IAQ parameters may be indicative of an actionable mitigation event and not IAQ sensor noise and/or error. The mitigation module 2120 may therefore (even when all of the areas are less than the respective predetermined mitigation values) operate one or more of the mitigation devices 424 when two or more of the IAQ parameters simultaneously increase above the respective predetermined values.



FIG. 23 includes example graphs of temperature, RH, particulate, VOCs, and carbon dioxide over time. Concurrent rises in RH, amount of particulate, and amount of VOCs are present during period 2304. Concurrent rises in temperature, RH, amount of VOCs, and amount of carbon dioxide are present during period 2308.


Concurrent rises in more than two parameters are not as likely to be attributable to sensor noise and/or error. The mitigation module 2120 may therefore operate one or more of the mitigation devices 424 when two or more of the parameters are concurrently greater than the respective predetermined values. The mitigation module 2120 may mitigate the respective IAQ parameters, for example, in order according to the prioritization or in order according to when the IAQ parameters became greater than the respective predetermined values.



FIG. 24 includes a flowchart depicting an example method of mitigating IAQ parameters. Control begins with 2404 when the mitigation devices 424 are off. At 2404, the thermostat 208 may determine whether one or more of the IAQ parameters are greater than (or less than) the respective predetermined value (or threshold).


For example, the control module 2112 may determine whether the temperature difference is greater than the predetermined temperature difference. The predetermined temperature difference may be calibratable and may be set to, for example, approximately 2° F. or another suitable temperature. The control module 2112 may also determine whether the RH is greater than the third predetermined RH. The third predetermined RH may be calibratable and may be set to, for example, approximately 50 percent RH or another suitable value. The control module 2112 may also determine whether the RH is less than the first predetermined RH. The first predetermined RH is less than the third predetermined RH. The first predetermined RH may be calibratable and may be set to, for example, approximately 40 percent RH or another suitable value. The control module 2112 may also determine whether the amount of particulate matter is greater than the predetermined amount of particulate matter. The predetermined amount of particulate may be calibratable and may be set to, for example, approximately 12 μg/cubic meter or another suitable value. The control module 2112 may also determine whether the amount of VOCs is greater than the predetermined amount of VOCs. The predetermined amount of VOCs may be calibratable and may be set to, for example, approximately 500 ppb or another suitable value. The control module 2112 may also determine whether the amount of carbon dioxide is greater than the predetermined amount of carbon dioxide. The predetermined amount of carbon dioxide may be calibratable and may be set to, for example, approximately 1000 ppm or another suitable value. If 2404 is false, the control module 2112 may reset the areas determined by the area module 2116 and maintain the mitigation devices 424 off at 2408. Control may return to 2404. If 2404 is true, control may continue with 2412.


In various implementations, if the amount of particulate is greater than the predetermined amount of particulate, the control module 2112 may also determine whether the amount of particulate in the air outside the building is greater than the predetermined amount of particulate. If so, (and no other IAQ parameters are greater than or less than the respective predetermined values, control may transfer to 2408, as discussed above. If not, control may continue with 2412. The local data server 520 determines the amount of particulate in the air outside the building based on the geographical location of the building.


At 2412, the control module 2112 may determine whether the ROC(s) of the one(s) of the IAQ parameters (that are/were greater than or less than the respective predetermined values) is/are greater than the predetermined ROCs. For example, if the amount of particulate was greater than the predetermined amount of particulate and the amount of carbon dioxide was greater than the predetermined amount of carbon dioxide, the control module 2112 may determine whether the ROC of the amount of particulate is greater than a predetermined ROC of particulate and whether the ROC of the amount of carbon dioxide is greater than a predetermined ROC of carbon dioxide. Magnitudes of ROCs may be used in various implementations. If 2412 is true, control may continue with 2424, which is discussed further below. If 2412 is false, control may transfer to 2416.


At 2416, the control module 2112 may determine whether the ROC(s) of the one(s) of the IAQ parameters (that are/were greater than or less than the respective predetermined values) is/are less than the predetermined ROCs (e.g., continuously for at least a predetermined period). For example, if the amount of particulate was greater than the predetermined amount of particulate and the amount of carbon dioxide was greater than the predetermined amount of carbon dioxide, the control module 2112 may determine whether the ROC of the amount of particulate is less than the predetermined ROC of particulate and whether the ROC of the amount of carbon dioxide is less than the predetermined ROC of carbon dioxide. Magnitudes of ROCs may be used.


If 2416 is true, the control module 2112 may reset the areas of the one(s) of the IAQ parameters (that are/were greater than or less than the respective predetermined values) and 2408. The mitigation module 2120 may also turn off ones of the mitigation devices 424 in use to mitigate the IAQ parameters (that are/were greater than or less than the respective predetermined values) at 2408. If 2416 is false, the area module 2116 may maintain or decrement the area(s) at 2420, and control may return to 2404. The mitigation module 2120 may maintain ones of the mitigation devices 424 in use to mitigate the IAQ parameters (that are/were greater than or less than the respective predetermined values) at 2420.


At 2424, the control module 2112 enables and updates the area calculations for the one or more of the IAQ parameters that are greater than or less than the respective predetermined values. The area module 2116 determines the area(s) for the one or more of the IAQ parameters that are greater than or less than the respective predetermined values. The area module 2116 determines the areas for the IAQ parameters based on the IAQ parameters and the baseline values, respectively.


At 2428, the mitigation module 2120 determines whether two or more of the IAQ parameters simultaneously or approximately simultaneously (e.g., within a predetermined period) rose (e.g., had ROCs that are greater than the respective predetermined ROCs). If 2428 is true, the mitigation module 2120 turns on one or more of the mitigation devices 424 at 2436 to mitigate those two or more IAQ parameters to less than (or greater than in the case of low RH) the respective predetermined values. In various implementations, the mitigation module 2120 may mitigate the two or more IAQ parameters according to the prioritization. If 2428 is false, control may transfer to 2432. A likelihood of the occurrence of simultaneous or approximately simultaneous rises in two or more of the IAQ parameters may be low. Therefore, the mitigation module 2120 may turn on one or more of the mitigation devices 424, even though the areas may be less than the predetermined mitigation values.


At 2432, the mitigation module 2120 determines whether one or more of the area(s) are greater than the predetermined mitigation values. If 2432 is false, the mitigation module 2120 may return to 2404 and not turn on one, more than one, or any of the mitigation devices 424. If 2432 is true, the mitigation module 2120 may turn on one or more of the mitigation devices 424 at 2436 to mitigate the associated two or more IAQ parameters to less than (or greater than in the case of low RH) the respective predetermined values. Because mitigation is started when the area(s) are greater than the predetermined mitigation value(s), the mitigation module 2120 may avoid improperly beginning mitigation or issuing an alert in response to simply an IAQ parameter being greater than or less than a threshold. This may improve user experience and perception of the system as a whole.


The foregoing description is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. The broad teachings of the disclosure can be implemented in a variety of forms. Therefore, while this disclosure includes particular examples, the true scope of the disclosure should not be so limited since other modifications will become apparent upon a study of the drawings, the specification, and the following claims. It should be understood that one or more steps within a method may be executed in different order (or concurrently) without altering the principles of the present disclosure. Further, although each of the embodiments is described above as having certain features, any one or more of those features described with respect to any embodiment of the disclosure can be implemented in and/or combined with features of any of the other embodiments, even if that combination is not explicitly described. In other words, the described embodiments are not mutually exclusive, and permutations of one or more embodiments with one another remain within the scope of this disclosure.


Spatial and functional relationships between elements (for example, between modules, circuit elements, semiconductor layers, etc.) are described using various terms, including “connected,” “engaged,” “coupled,” “adjacent,” “next to,” “on top of,” “above,” “below,” and “disposed.” Unless explicitly described as being “direct,” when a relationship between first and second elements is described in the above disclosure, that relationship can be a direct relationship where no other intervening elements are present between the first and second elements, but can also be an indirect relationship where one or more intervening elements are present (either spatially or functionally) between the first and second elements. As used herein, the phrase at least one of A, B, and C should be construed to mean a logical (A OR B OR C), using a non-exclusive logical OR, and should not be construed to mean “at least one of A, at least one of B, and at least one of C.”


In the figures, the direction of an arrow, as indicated by the arrowhead, generally demonstrates the flow of information (such as data or instructions) that is of interest to the illustration. For example, when element A and element B exchange a variety of information but information transmitted from element A to element B is relevant to the illustration, the arrow may point from element A to element B. This unidirectional arrow does not imply that no other information is transmitted from element B to element A. Further, for information sent from element A to element B, element B may send requests for, or receipt acknowledgements of, the information to element A.


In this application, including the definitions below, the term “module” or the term “controller” may be replaced with the term “circuit.” The term “module” may refer to, be part of, or include: an Application Specific Integrated Circuit (ASIC); a digital, analog, or mixed analog/digital discrete circuit; a digital, analog, or mixed analog/digital integrated circuit; a combinational logic circuit; a field programmable gate array (FPGA); a processor circuit (shared, dedicated, or group) that executes code; a memory circuit (shared, dedicated, or group) that stores code executed by the processor circuit; other suitable hardware components that provide the described functionality; or a combination of some or all of the above, such as in a system-on-chip.


The module may include one or more interface circuits. In some examples, the interface circuits may include wired or wireless interfaces that are connected to a local area network (LAN), the Internet, a wide area network (WAN), or combinations thereof. The functionality of any given module of the present disclosure may be distributed among multiple modules that are connected via interface circuits. For example, multiple modules may allow load balancing. In a further example, a server (also known as remote, or cloud) module may accomplish some functionality on behalf of a client module.


The term code, as used above, may include software, firmware, and/or microcode, and may refer to programs, routines, functions, classes, data structures, and/or objects. The term shared processor circuit encompasses a single processor circuit that executes some or all code from multiple modules. The term group processor circuit encompasses a processor circuit that, in combination with additional processor circuits, executes some or all code from one or more modules. References to multiple processor circuits encompass multiple processor circuits on discrete dies, multiple processor circuits on a single die, multiple cores of a single processor circuit, multiple threads of a single processor circuit, or a combination of the above. The term shared memory circuit encompasses a single memory circuit that stores some or all code from multiple modules. The term group memory circuit encompasses a memory circuit that, in combination with additional memories, stores some or all code from one or more modules.


The term memory circuit is a subset of the term computer-readable medium. The term computer-readable medium, as used herein, does not encompass transitory electrical or electromagnetic signals propagating through a medium (such as on a carrier wave); the term computer-readable medium may therefore be considered tangible and non-transitory. Non-limiting examples of a non-transitory, tangible computer-readable medium are nonvolatile memory circuits (such as a flash memory circuit, an erasable programmable read-only memory circuit, or a mask read-only memory circuit), volatile memory circuits (such as a static random access memory circuit or a dynamic random access memory circuit), magnetic storage media (such as an analog or digital magnetic tape or a hard disk drive), and optical storage media (such as a CD, a DVD, or a Blu-ray Disc).


The apparatuses and methods described in this application may be partially or fully implemented by a special purpose computer created by configuring a general purpose computer to execute one or more particular functions embodied in computer programs. The functional blocks, flowchart components, and other elements described above serve as software specifications, which can be translated into the computer programs by the routine work of a skilled technician or programmer.


The computer programs include processor-executable instructions that are stored on at least one non-transitory, tangible computer-readable medium. The computer programs may also include or rely on stored data. The computer programs may encompass a basic input/output system (BIOS) that interacts with hardware of the special purpose computer, device drivers that interact with particular devices of the special purpose computer, one or more operating systems, user applications, background services, background applications, etc.


The computer programs may include: (i) descriptive text to be parsed, such as HTML (hypertext markup language), XML (extensible markup language), or JSON (JavaScript Object Notation) (ii) assembly code, (iii) object code generated from source code by a compiler, (iv) source code for execution by an interpreter, (v) source code for compilation and execution by a just-in-time compiler, etc. As examples only, source code may be written using syntax from languages including C, C++, C #, Objective-C, Swift, Haskell, Go, SQL, R, Lisp, Java®, Fortran, Perl, Pascal, Curl, OCaml, Javascript®, HTML5 (Hypertext Markup Language 5th revision), Ada, ASP (Active Server Pages), PHP (PHP: Hypertext Preprocessor), Scala, Eiffel, Smalltalk, Erlang, Ruby, Flash®, Visual Basic®, Lua, MATLAB, SIMULINK, and Python®.

Claims
  • 1. An indoor air quality (IAQ) system for a building, comprising: an IAQ sensor that is located within the building and that is configured to measure an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air;an amount of volatile organic compounds (VOCs) present in air; andan amount of carbon dioxide present in air;a mitigation module configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; andselectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold;a clean module configured to determine a clean amount for the IAQ parameter based on an average of values of the IAQ parameter measured while the mitigation device was off during a last previous period; anda thresholds module configured to, based on the clean amount, determine the first ON threshold and the OFF threshold,wherein the mitigation module is configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a predetermined period has passed since the IAQ parameter became less than the OFF threshold,wherein the IAQ parameter is the amount of particulate, andwherein the IAQ system further comprises a time to capacity module configured to determine the predetermined period by solving the following equation for period:
  • 2. The IAQ system of claim 1 wherein the thresholds module is configured to set the first ON threshold based on the clean amount plus a first predetermined value.
  • 3. The IAQ system of claim 2 wherein the thresholds module is configured to set the second ON threshold to a fixed predetermined value.
  • 4. The IAQ system of claim 3 wherein the thresholds module is configured to set the OFF threshold based on a second predetermined value plus a greater one of the first and second ON thresholds.
  • 5. The IAQ system of claim 1 wherein the mitigation module is configured to turn on the mitigation device in response to a determination that the IAQ parameter is greater than both of the first ON threshold and the second ON threshold.
  • 6. The IAQ system of claim 1 wherein the mitigation module is further configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) at least one OFF condition is satisfied.
  • 7. The IAQ system of claim 1 wherein the mitigation module is further configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) the IAQ parameter is less than or equal to the clean amount.
  • 8. The IAQ system of claim 1 wherein the mitigation module is further configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a slope of the IAQ parameter is within a predetermined amount of zero.
  • 9. The IAQ system of claim 1, further comprising: a timer module configured to measure a period between a first time when the mitigation module turned the blower ON and a second time when the mitigation module next turned the blower OFF;a time to capacity module configured to determine an expected period of the blower being ON for a mitigation event when a filter of the air handler unit is new by solving the following equation for period:
  • 10. The IAQ system of claim 9 wherein the diagnostic module is configured to generate the indicator to replace the filter when the period is greater than the expected period by at least a predetermined amount.
  • 11. The IAQ system of claim 9 wherein the diagnostic module is configured to generate the indicator to replace the filter when the period is at least twice as long as the expected period.
  • 12. The IAQ system of claim 9 wherein the diagnostic module is configured to generate the indicator to replace the filter when the period is at least three times the expected period.
  • 13. The IAQ system of claim 9 wherein the diagnostic module is configured to determine an amount that the filter is filled with particulate matter based on a comparison of the period and the expected period and to generate the indicator to replace the filter based on the amount that the filter is filled.
  • 14. The IAQ system of claim 9 wherein the diagnostic module is configured to display the indicator to replace the filter on a display of a customer device associated with the building.
  • 15. The IAQ system of claim 1 further comprising: a timer module configured to measure a period for a mitigation event between a first time when the mitigation module turned the mitigation device ON and a second time when the mitigation module next turned the mitigation device OFF;an event module configured to determine an event classification for the mitigation event based on the period and to store the event classification in memory,wherein the time to capacity module is configured to determine an expected period for the mitigation event by solving the following equation for period:
  • 16. The IAQ system of claim 15 wherein the time to capacity module configured to determine the expected period for the mitigation event by solving the following equation for period:
  • 17. The IAQ system of claim 16 wherein the event module is configured to set the event classification to a first classification when the period is greater than the expected period.
  • 18. The IAQ system of claim 17 wherein the event module is configured to set the event classification to a second classification when the period is less than the expected period.
  • 19. The IAQ system of claim 16 wherein the event module is configured to set the event classification to: a first classification when the period is less than a first predetermined period;a second classification when the period is greater than a second predetermined period that is greater than the first predetermined period; anda third classification when the period is greater than the first predetermined period and less than the second predetermined period.
  • 20. An indoor air quality (IAQ) system for a building, comprising: an IAQ sensor that is located within the building and that is configured to measure an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air;an amount of volatile organic compounds (VOCs) present in air; andan amount of carbon dioxide present in air;a mitigation module configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; andselectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold;a clean module configured to determine a clean amount for the IAQ parameter based on an average of values of the IAQ parameter measured while the mitigation device was off during a last previous period; anda thresholds module configured to, based on the clean amount, determine the first ON threshold and the OFF threshold,wherein the mitigation module is configured to turn off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a predetermined period has passed since the IAQ parameter became less than the OFF threshold,wherein the IAQ parameter is one of (i) the amount of VOCs and (ii) the amount of carbon dioxide, andwherein the IAQ system further comprises a time to capacity module configured to determine the predetermined period by solving the following equation for period:
  • 21. An indoor air quality (IAQ) method, comprising: by an IAQ sensor that is located within a building, measuring an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air;an amount of volatile organic compounds (VOCs) present in air; andan amount of carbon dioxide present in air;selectively turning on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold;selectively turning off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold;determining a clean amount for the IAQ parameter based on an average of values of the IAQ parameter measured while the mitigation device was off during a last previous period; andbased on the clean value, determining the first ON threshold and the OFF threshold,wherein selectively turning off the mitigation device includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a predetermined period has passed since the IAQ parameter became less than the OFF threshold,wherein the IAQ parameter is the amount of particulate, andwherein the IAQ method further comprises determining the predetermined period by solving the following equation for period:
  • 22. The IAQ method of claim 21 wherein determining the first ON threshold includes setting the first ON threshold based on the clean amount plus a first predetermined value.
  • 23. The IAQ method of claim 22 further comprising setting the second ON threshold to a fixed predetermined value.
  • 24. The IAQ method of claim 23 wherein determining the OFF threshold includes setting the OFF threshold based on a second predetermined value plus a greater one of the first and second ON thresholds.
  • 25. The IAQ method of claim 21 wherein selectively turning on the mitigation device includes turning on the mitigation device in response to a determination that the IAQ parameter is greater than both of the first ON threshold and the second ON threshold.
  • 26. The IAQ method of claim 21 wherein selectively turning off the mitigation device further includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) at least one OFF condition is satisfied.
  • 27. The IAQ method of claim 21 wherein selectively turning off the mitigation device further includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) the IAQ parameter is less than or equal to the clean amount.
  • 28. The IAQ method of claim 21 wherein selectively turning off the mitigation device further includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a slope of the IAQ parameter is within a predetermined amount of zero.
  • 29. The IAQ method of claim 12, further comprising: measuring a period between a first time when the blower was turned ON and a second time when the blower is next turned OFF;determining an expected period of the blower being ON for a mitigation event when a filter of the air handler unit is new by solving the following equation for period:
  • 30. The IAQ method of claim 29 wherein selectively generating the indicator includes generating the indicator to replace the filter when the period is greater than the expected period by at least a predetermined amount.
  • 31. The IAQ method of claim 29 wherein selectively generating the indicator includes generating to replace the filter when the period is at least twice as long as the expected period.
  • 32. The IAQ method of claim 29 wherein selectively generating the indicator includes generating the indicator to replace the filter when the period is at least three times the expected period.
  • 33. The IAQ method of claim 29 further comprising determining an amount that the filter is filled with particulate matter based on a comparison of the period and the expected period, wherein selectively generating the indicator includes generating the indicator to replace the filter based on the amount that the filter is filled.
  • 34. The IAQ method of claim 29 further comprising displaying the indicator to replace the filter on a display of a customer device associated with the building.
  • 35. The IAQ method of claim 21, further comprising: measuring a period for a mitigation event between a first time when mitigation device was turned ON and a second time when the mitigation device was next turned OFF;determining an event classification for the mitigation event based on the period;storing the event classification in memory; anddetermining an expected period for the mitigation event by solving the following equation for period:
  • 36. The IAQ method of claim 35 further comprising determining an expected period for the mitigation event by solving the following equation for period:
  • 37. The IAQ method of claim 36 wherein determining the event classification includes setting the event classification to a first classification when the period is greater than the expected period.
  • 38. The IAQ method of claim 37 wherein determining the event classification includes setting the event classification to a second classification when the period is less than the expected period.
  • 39. The IAQ method of claim 36 wherein determining the event classification includes setting the event classification to: a first classification when the period is less than a first predetermined period;a second classification when the period is greater than a second predetermined period that is greater than the first predetermined period; anda third classification when the period is greater than the first predetermined period and less than the second predetermined period.
  • 40. An indoor air quality (IAQ) method, comprising: by an IAQ sensor that is located within a building, measuring an IAQ parameter, the IAQ parameter being one of: an amount of particulate of at least a predetermined size present in air;an amount of volatile organic compounds (VOCs) present in air; andan amount of carbon dioxide present in air;selectively turning on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold;selectively turning off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold;determining a clean amount for the IAQ parameter based on an average of values of the IAQ parameter measured while the mitigation device was off during a last previous period; andbased on the clean value, determining the first ON threshold and the OFF threshold,wherein selectively turning off the mitigation device includes turning off the mitigation device when both (i) the IAQ parameter is less than the OFF threshold and (ii) a predetermined period has passed since the IAQ parameter became less than the OFF threshold,wherein the IAQ parameter is one of (i) the amount of VOCs and (ii) the amount of carbon dioxide, andwherein the IAQ method further comprises determining the predetermined period by solving the following equation for period:
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is the U.S. National Phase Application under 35 U.S.C. 371 of International Application No. PCT/US2019/028408 filed on Apr. 19, 2019, which claims the benefit of U.S. Provisional Application No. 62/660,354, filed on Apr. 20, 2018. The entire disclosures of the applications referenced above are incorporated herein by reference.

PCT Information
Filing Document Filing Date Country Kind
PCT/US2019/028408 4/19/2019 WO
Publishing Document Publishing Date Country Kind
WO2019/204790 10/24/2019 WO A
US Referenced Citations (552)
Number Name Date Kind
4135370 Hosoda et al. Jan 1979 A
4136529 McCarty Jan 1979 A
4735054 Beckey Apr 1988 A
4873649 Grald et al. Oct 1989 A
4922808 Smith May 1990 A
4977818 Taylor et al. Dec 1990 A
5067394 Cavallero Nov 1991 A
5129234 Alford Jul 1992 A
5259553 Shyu Nov 1993 A
5267897 Drees Dec 1993 A
5303561 Bahel et al. Apr 1994 A
5351855 Nelson et al. Oct 1994 A
5394934 Rein et al. Mar 1995 A
5428964 Lobdell Jul 1995 A
5520328 Bujak, Jr. May 1996 A
5598715 Edmisten Feb 1997 A
5707005 Kettler et al. Jan 1998 A
5832411 Schatzmann et al. Nov 1998 A
5887784 Haas Mar 1999 A
5892690 Boatman et al. Apr 1999 A
5904896 High May 1999 A
5915473 Ganesh et al. Jun 1999 A
6161764 Jatnieks Dec 2000 A
6187263 Nielsen Feb 2001 B1
6230980 Hudson May 2001 B1
6251344 Goldstein Jun 2001 B1
6288646 Skardon Sep 2001 B1
6358374 Obee et al. Mar 2002 B1
6369716 Abbas Apr 2002 B1
6377858 Koeppe Apr 2002 B1
6391102 Bodden et al. May 2002 B1
6392536 Tice et al. May 2002 B1
6394427 Guetersloh et al. May 2002 B1
6406367 Chou et al. Jun 2002 B1
6406506 Moredock et al. Jun 2002 B1
6423118 Becerra et al. Jul 2002 B1
6448896 Bankus et al. Sep 2002 B1
6466133 Skardon Oct 2002 B1
6493638 McLean et al. Dec 2002 B1
6494053 Forkosh et al. Dec 2002 B1
6494940 Hak Dec 2002 B1
6503462 Michalakos et al. Jan 2003 B1
6557365 Dinnage et al. May 2003 B2
6578770 Rosen Jun 2003 B1
6582295 Abouchaar Jun 2003 B1
6588250 Schell Jul 2003 B2
6622993 Mulvaney Sep 2003 B2
6691526 Gether et al. Feb 2004 B2
6698219 Sekhar et al. Mar 2004 B2
6711470 Hartenstein et al. Mar 2004 B1
6752713 Johnson, Jr. Jun 2004 B2
6790136 Sharp et al. Sep 2004 B2
6826920 Wacker Dec 2004 B2
6843068 Wacker Jan 2005 B1
6848266 Sheehan Feb 2005 B1
6884399 Reisfeld et al. Apr 2005 B2
6898960 Bodnar May 2005 B1
6902592 Green et al. Jun 2005 B2
6916239 Siddaramanna et al. Jul 2005 B2
6919809 Blunn et al. Jul 2005 B2
6920874 Siegel Jul 2005 B1
6924326 Meyer et al. Aug 2005 B2
6926079 Kensok et al. Aug 2005 B2
6941193 Frecska et al. Sep 2005 B2
6952715 Kronz Oct 2005 B1
7016791 Carnegie et al. Mar 2006 B2
7048776 Moore et al. May 2006 B2
7059400 Sekhar et al. Jun 2006 B2
7114343 Kates Oct 2006 B2
7151264 Ehlers, Sr. Dec 2006 B2
7178350 Shah Feb 2007 B2
7186290 Sheehan et al. Mar 2007 B2
7222494 Peterson et al. May 2007 B2
7241326 Han et al. Jul 2007 B2
7253743 Liang et al. Aug 2007 B2
7255831 Wei et al. Aug 2007 B2
7261762 Kang et al. Aug 2007 B2
7266960 Shah Sep 2007 B2
7267017 Bodnar Sep 2007 B1
RE39871 Skardon Oct 2007 E
7291206 Kiern et al. Nov 2007 B1
7291315 Obee et al. Nov 2007 B2
7302313 Sharp et al. Nov 2007 B2
7306650 Slayzak et al. Dec 2007 B2
7325748 Acker, Jr. Feb 2008 B2
7326388 Uslenghi et al. Feb 2008 B2
7357828 Bohlen Apr 2008 B2
7366588 Kim et al. Apr 2008 B2
7368003 Crapser et al. May 2008 B2
7369955 Lee May 2008 B2
7378064 Uslenghi et al. May 2008 B2
7381244 Tyndall et al. Jun 2008 B2
7389158 Desrochers et al. Jun 2008 B2
7398821 Rainer et al. Jul 2008 B2
7407624 Cumberland et al. Aug 2008 B2
7413594 Paterson et al. Aug 2008 B2
7434413 Wruck Oct 2008 B2
7475828 Bartlett et al. Jan 2009 B2
7552030 Guralnik et al. Jun 2009 B2
7552635 Chang et al. Jun 2009 B2
7574871 Bloemer et al. Aug 2009 B2
7621985 Kuo Nov 2009 B1
7632178 Meneely, Jr. Dec 2009 B2
7632340 Brady et al. Dec 2009 B2
7635845 Jensen et al. Dec 2009 B2
7645323 Massenbauer-Strafe et al. Jan 2010 B2
7651256 Lee et al. Jan 2010 B2
7721560 Carpenter May 2010 B2
7740184 Schnell et al. Jun 2010 B2
7748639 Perry Jul 2010 B2
7758408 Hagentoft Jul 2010 B2
7765792 Rhodes et al. Aug 2010 B2
7780092 Ahmed Aug 2010 B2
7789951 Sung et al. Sep 2010 B2
7809472 Silva et al. Oct 2010 B1
7811363 Zhang Oct 2010 B2
7836712 Sasao et al. Nov 2010 B2
7837958 Crapser et al. Nov 2010 B2
7839275 Spalink et al. Nov 2010 B2
7857884 Bohlen Dec 2010 B2
7857890 Paterson et al. Dec 2010 B2
7918407 Patch Apr 2011 B2
7932490 Wang et al. Apr 2011 B2
7938896 Paterson et al. May 2011 B2
7951327 Reisfeld et al. May 2011 B2
7966104 Srivastava et al. Jun 2011 B2
7979163 Terlson et al. Jul 2011 B2
8024982 Pettit et al. Sep 2011 B2
8024986 Pettit et al. Sep 2011 B2
8066558 Thomle et al. Nov 2011 B2
8079575 Novotny et al. Dec 2011 B2
8083398 Doll Dec 2011 B2
8086407 Chan et al. Dec 2011 B2
8097067 Fox et al. Jan 2012 B2
8118236 Lestage et al. Feb 2012 B2
8147302 Desrochers et al. Apr 2012 B2
8172154 Figley et al. May 2012 B1
8190367 Bassa May 2012 B2
8219249 Harrod et al. Jul 2012 B2
8231112 Cao et al. Jul 2012 B2
8231716 Poon Jul 2012 B2
8239066 Jennings et al. Aug 2012 B2
8267164 Lestage et al. Sep 2012 B2
8292270 Terlson et al. Oct 2012 B2
8318084 Johnson et al. Nov 2012 B2
8328910 Mulholland Dec 2012 B2
8333816 Kummer et al. Dec 2012 B2
8335593 Johnson et al. Dec 2012 B2
8347643 Taras et al. Jan 2013 B2
8392025 Orfield Mar 2013 B2
8397522 Springer et al. Mar 2013 B2
8398917 Itzhak et al. Mar 2013 B2
8398923 Mole Mar 2013 B2
8402815 Marra Mar 2013 B2
8423192 Liu Apr 2013 B2
8428901 Hsieh Apr 2013 B2
8442694 Jang May 2013 B2
8467977 Xia et al. Jun 2013 B2
8473429 Cheng et al. Jun 2013 B2
8479560 Cobianu et al. Jul 2013 B2
8492722 Chang et al. Jul 2013 B2
8496514 Kim et al. Jul 2013 B2
8496735 Jones et al. Jul 2013 B2
8529830 Zhou et al. Sep 2013 B2
8544288 MacDonald Oct 2013 B2
8554375 Nerling Oct 2013 B2
8555662 Peterson et al. Oct 2013 B2
8560126 Vass et al. Oct 2013 B2
8567204 Seem Oct 2013 B2
8574343 Bisson et al. Nov 2013 B2
8615327 Takagi et al. Dec 2013 B2
8640970 Dorendorf Feb 2014 B2
8651391 Patch Feb 2014 B2
8683845 Fleischer et al. Apr 2014 B2
8689572 Evans et al. Apr 2014 B2
8691144 Garfield et al. Apr 2014 B2
8696800 Storm Apr 2014 B2
8700227 Vass et al. Apr 2014 B2
8726721 Minges May 2014 B2
8734565 Hoglund et al. May 2014 B2
8744629 Wallaert et al. Jun 2014 B2
8755942 Bonilla et al. Jun 2014 B2
8757154 Schuller Jun 2014 B2
8758262 Rhee et al. Jun 2014 B2
8761945 Hadzidedic Jun 2014 B2
8768521 Amundson et al. Jul 2014 B2
8797159 Kirkpatrick et al. Aug 2014 B2
8813583 Klips et al. Aug 2014 B2
8838037 Niederberger et al. Sep 2014 B2
8852501 Hedman Oct 2014 B2
8860569 Hruska et al. Oct 2014 B2
8880224 Eaton et al. Nov 2014 B2
8883083 Law et al. Nov 2014 B2
8886785 Apte et al. Nov 2014 B2
8889079 Zahedi Nov 2014 B2
8892797 Grohman Nov 2014 B2
8899055 Kuenzel et al. Dec 2014 B2
8900518 Seek Dec 2014 B2
8907803 Martin Dec 2014 B2
8920537 Seike Dec 2014 B2
8922971 Abate et al. Dec 2014 B2
8930030 Bester et al. Jan 2015 B2
8955761 Malloy Feb 2015 B2
8958918 Voysey Feb 2015 B2
8961881 Hagh et al. Feb 2015 B2
8963728 Kates Feb 2015 B2
8973845 Kanaya et al. Mar 2015 B2
8978445 Bergsten Mar 2015 B2
8986427 Hauville et al. Mar 2015 B2
9010172 Xia et al. Apr 2015 B2
9019111 Sloo et al. Apr 2015 B1
9023304 Nikles May 2015 B2
9040007 Hui et al. May 2015 B2
9040008 Zahedi May 2015 B2
9061230 Barakat Jun 2015 B2
9073009 Vanderspurt et al. Jul 2015 B2
9078082 Gill et al. Jul 2015 B2
9080784 Dean-Hendricks et al. Jul 2015 B2
9091497 Schwendinger et al. Jul 2015 B2
9092040 Fadell et al. Jul 2015 B2
9095636 Schmidt et al. Aug 2015 B2
9097432 Kreft et al. Aug 2015 B2
9101904 Yates et al. Aug 2015 B2
9103557 Choi et al. Aug 2015 B2
9109981 Sharp Aug 2015 B2
9109989 Hamann et al. Aug 2015 B2
9121618 Fisher et al. Sep 2015 B2
9121837 Chan et al. Sep 2015 B2
9143344 Cho et al. Sep 2015 B2
9157647 Leen et al. Oct 2015 B2
9164519 Holloway Oct 2015 B2
9166992 Stickle et al. Oct 2015 B1
9175872 McKie et al. Nov 2015 B2
9182751 Reeder Nov 2015 B1
9186609 Sherman, III et al. Nov 2015 B2
9200804 Park et al. Dec 2015 B2
9208676 Fadell et al. Dec 2015 B2
9233472 Angle et al. Jan 2016 B2
9234667 Ito et al. Jan 2016 B2
9250633 Chen et al. Feb 2016 B2
9254459 Miller Feb 2016 B2
9261290 Storm Feb 2016 B2
9278304 Lee Mar 2016 B2
9280884 Schultz et al. Mar 2016 B1
9286779 Shaw et al. Mar 2016 B2
9304511 Blount et al. Apr 2016 B2
9304521 Kates Apr 2016 B2
9308492 Obee et al. Apr 2016 B2
9310088 Melikov et al. Apr 2016 B2
9311807 Schultz et al. Apr 2016 B2
9316410 Meirav et al. Apr 2016 B2
9317659 Balinski et al. Apr 2016 B2
9323895 Balinski et al. Apr 2016 B2
9325516 Pera et al. Apr 2016 B2
9328936 Meirav et al. May 2016 B2
9332322 Niemeyer et al. May 2016 B2
9344753 Yerli May 2016 B2
9347678 Stakutis et al. May 2016 B2
9347860 Lalain et al. May 2016 B1
9347925 Shen et al. May 2016 B2
9353964 Kates May 2016 B2
9353966 Finkam May 2016 B2
9360229 Modi et al. Jun 2016 B2
9366448 Dean-Hendricks et al. Jun 2016 B2
9372010 Jung et al. Jun 2016 B2
9375672 Meirav et al. Jun 2016 B2
9375847 Angle et al. Jun 2016 B2
9377768 Grohman Jun 2016 B2
9390388 Drees et al. Jul 2016 B2
9395096 Fisher et al. Jul 2016 B2
9399187 Meirav et al. Jul 2016 B2
9400119 Malloy Jul 2016 B2
9404666 Terlson et al. Aug 2016 B2
9405301 Montero et al. Aug 2016 B2
9406212 De Luca et al. Aug 2016 B2
9410752 Wallace Aug 2016 B2
9416987 Ragland et al. Aug 2016 B2
9417005 Roth et al. Aug 2016 B1
9417637 Matsuoka et al. Aug 2016 B2
9423144 Evans et al. Aug 2016 B2
9423146 Bruce et al. Aug 2016 B2
9427728 Sidheswaran et al. Aug 2016 B2
9449491 Sager et al. Sep 2016 B2
9459606 Takayama et al. Oct 2016 B2
9463339 Nozaki Oct 2016 B2
9464818 Holm et al. Oct 2016 B2
9498555 Hingorani et al. Nov 2016 B2
9520250 O'Keeffe Dec 2016 B2
9522210 Worrilow Dec 2016 B2
9523665 Fleischer et al. Dec 2016 B2
9535407 Durham et al. Jan 2017 B2
9537670 Cho et al. Jan 2017 B2
9557069 Matsui et al. Jan 2017 B2
9568445 Klein et al. Feb 2017 B2
9593859 Niazi Mar 2017 B2
9593861 Burnett Mar 2017 B1
9597627 Zhang Mar 2017 B2
9599353 Cur et al. Mar 2017 B2
9599357 Vogel Mar 2017 B2
9612188 Johnston et al. Apr 2017 B2
9618224 Emmons et al. Apr 2017 B2
9638434 Alston May 2017 B2
9638436 Arensmeier et al. May 2017 B2
9643117 Rahlin et al. May 2017 B2
9645112 Chan May 2017 B2
9677777 Karamanos et al. Jun 2017 B2
9694309 Weatherman et al. Jul 2017 B2
9696049 Metteer Jul 2017 B2
9696735 Matsuoka et al. Jul 2017 B2
9709291 Dostmann Jul 2017 B2
9714844 Stamatakis et al. Jul 2017 B1
9715242 Pillai et al. Jul 2017 B2
9723380 Patel et al. Aug 2017 B2
9726579 Han et al. Aug 2017 B2
9729945 Schultz et al. Aug 2017 B2
9737842 Matlin et al. Aug 2017 B2
9752789 Staniforth et al. Sep 2017 B2
9759437 Kim et al. Sep 2017 B2
9789436 Meirav et al. Oct 2017 B2
9797620 Matsugi et al. Oct 2017 B2
9797812 Hamann Oct 2017 B2
9798309 Tirpak Oct 2017 B2
9802322 Angle et al. Oct 2017 B2
9803877 Yun Oct 2017 B2
9810441 Dean-Hendricks et al. Nov 2017 B2
9816724 Phannavong et al. Nov 2017 B2
9821260 Stoner, Jr. et al. Nov 2017 B2
9833734 Fox et al. Dec 2017 B2
9835348 Storm et al. Dec 2017 B2
9839872 Spartz Dec 2017 B2
9851299 Bertaux Dec 2017 B2
9854335 Patel et al. Dec 2017 B2
9856883 Olsen Jan 2018 B1
9857301 Nourbakhsh et al. Jan 2018 B1
9874873 Angle et al. Jan 2018 B2
9890969 Martin Feb 2018 B2
9986313 Schwarzkopf et al. May 2018 B2
9990842 Zribi et al. Jun 2018 B2
10139384 Nourbakhsh Nov 2018 B1
10222360 Nourbakhsh et al. Mar 2019 B1
10650621 King et al. May 2020 B1
10712036 Mowris et al. Jul 2020 B2
11232655 Bhattacharyya et al. Jan 2022 B2
20030070544 Mulvaney et al. Apr 2003 A1
20050076655 Wong Apr 2005 A1
20050098495 Hughes May 2005 A1
20050277381 Banerjee et al. Dec 2005 A1
20060055547 DiMaggio Mar 2006 A1
20060267756 Kates Nov 2006 A1
20070013534 DiMaggio Jan 2007 A1
20070082601 Desrochers et al. Apr 2007 A1
20070155305 Heidel et al. Jul 2007 A1
20080014857 Spadafora et al. Jan 2008 A1
20080022705 Clearman Jan 2008 A1
20080078842 MacDonald Apr 2008 A1
20080182506 Jackson Jul 2008 A1
20080315000 Gorthala et al. Dec 2008 A1
20090079098 Ezra Mar 2009 A1
20090126382 Rubino et al. May 2009 A1
20090179338 Cottier Jul 2009 A1
20090204262 Nishimura Aug 2009 A1
20100241287 Nishino et al. Sep 2010 A1
20110010071 Rhodes et al. Jan 2011 A1
20110125044 Rhee et al. May 2011 A1
20110151766 Sherman et al. Jun 2011 A1
20110184250 Schmidt et al. Jul 2011 A1
20120095684 Chan et al. Apr 2012 A1
20120150333 De Luca et al. Jun 2012 A1
20120323374 Dean-Hendricks et al. Dec 2012 A1
20130014522 Lukasse et al. Jan 2013 A1
20130085613 Bester Apr 2013 A1
20130144527 Kuhnreichi Jun 2013 A1
20130174646 Martin Jul 2013 A1
20130174841 McAuley et al. Jul 2013 A1
20130184875 Miura Jul 2013 A1
20130226352 Dean-Hendricks et al. Aug 2013 A1
20130260668 Stakutis et al. Oct 2013 A1
20130287626 Benedek et al. Oct 2013 A1
20130289778 Ishizaka Oct 2013 A1
20130323781 Moularat et al. Dec 2013 A1
20130344609 Mayer et al. Dec 2013 A1
20140020559 Meirav et al. Jan 2014 A1
20140053586 Poecher et al. Feb 2014 A1
20140079564 Becerra et al. Mar 2014 A1
20140083292 Weiden Mar 2014 A1
20140109649 Fleischer et al. Apr 2014 A1
20140129004 Takayama et al. May 2014 A1
20140139342 Brown May 2014 A1
20140190679 Roosli et al. Jul 2014 A1
20140207693 Horst et al. Jul 2014 A1
20140217185 Bicknell Aug 2014 A1
20140244043 Foster Aug 2014 A1
20140262837 Sidheswaran et al. Sep 2014 A1
20140266755 Arensmeier et al. Sep 2014 A1
20140313048 Sabata et al. Oct 2014 A1
20140346237 Mirza et al. Nov 2014 A1
20140354976 Evenstad et al. Dec 2014 A1
20140365017 Hanna et al. Dec 2014 A1
20140370800 Ansari Dec 2014 A1
20140371917 Rite Dec 2014 A1
20150011154 Holm et al. Jan 2015 A1
20150032264 Emmons et al. Jan 2015 A1
20150046179 Kang Feb 2015 A1
20150050876 Sakai et al. Feb 2015 A1
20150052975 Martin Feb 2015 A1
20150061877 Kates Mar 2015 A1
20150077737 Belinsky et al. Mar 2015 A1
20150088786 Anandhakrishnan Mar 2015 A1
20150140919 Zwijack May 2015 A1
20150153061 Riberon et al. Jun 2015 A1
20150153317 Krebs Jun 2015 A1
20150168003 Stefanski et al. Jun 2015 A1
20150168964 Wu et al. Jun 2015 A1
20150194039 Martin Jul 2015 A1
20150202563 Spartz Jul 2015 A1
20150241318 Hamann et al. Aug 2015 A1
20150246150 De Koster et al. Sep 2015 A1
20150256355 Pera et al. Sep 2015 A1
20150285524 Saunders Oct 2015 A1
20150285755 Moss et al. Oct 2015 A1
20150289802 Thomas et al. Oct 2015 A1
20150298043 Meirav et al. Oct 2015 A1
20150301513 Sager et al. Oct 2015 A1
20150306271 Willette Oct 2015 A1
20150323206 Chan et al. Nov 2015 A1
20150323427 Sharp Nov 2015 A1
20150323941 Pariseau et al. Nov 2015 A1
20150330650 Abiprojo et al. Nov 2015 A1
20150330817 Law et al. Nov 2015 A1
20150335834 Anandhakrishnan Nov 2015 A1
20150347910 Fadell et al. Dec 2015 A1
20150348400 Zribi et al. Dec 2015 A1
20150354848 Abel et al. Dec 2015 A1
20150369503 Flaherty et al. Dec 2015 A1
20150369507 Flaherty et al. Dec 2015 A1
20150370986 Hayward Dec 2015 A1
20150375187 Yates et al. Dec 2015 A1
20160015277 Dumoulin et al. Jan 2016 A1
20160015278 Campo et al. Jan 2016 A1
20160015314 Dusanter et al. Jan 2016 A1
20160015315 Auphan et al. Jan 2016 A1
20160026201 Vellanki et al. Jan 2016 A1
20160029805 Arens et al. Feb 2016 A1
20160041074 Pliskin Feb 2016 A1
20160048143 Chan Feb 2016 A1
20160054018 Motodani et al. Feb 2016 A1
20160054023 Baker et al. Feb 2016 A1
20160061472 Lee et al. Mar 2016 A1
20160061794 Schultz Mar 2016 A1
20160078751 Sloo et al. Mar 2016 A1
20160088438 O'Keeffe Mar 2016 A1
20160089089 Kakkar et al. Mar 2016 A1
20160091216 Tran et al. Mar 2016 A1
20160107114 Fu et al. Apr 2016 A1
20160110782 Tadajewski Apr 2016 A1
20160116181 Aultman Apr 2016 A1
20160125714 Kates et al. May 2016 A1
20160132031 Kozura et al. May 2016 A1
20160133108 Bucsa et al. May 2016 A1
20160139038 Oldsen et al. May 2016 A1
20160147506 Britt et al. May 2016 A1
20160153674 Lancaster Jun 2016 A1
20160153884 Han et al. Jun 2016 A1
20160161137 Chen et al. Jun 2016 A1
20160166974 Marra Jun 2016 A1
20160169544 Fischer et al. Jun 2016 A1
20160169545 Mangsuli et al. Jun 2016 A1
20160178586 Stark Jun 2016 A1
20160209065 Hagstrom et al. Jul 2016 A1
20160209070 Hrejsa et al. Jul 2016 A1
20160209316 Buseyne et al. Jul 2016 A1
20160228809 Meirav et al. Aug 2016 A1
20160228811 Meirav et al. Aug 2016 A1
20160231014 Ro et al. Aug 2016 A1
20160238527 Tseng et al. Aug 2016 A1
20160245784 Matocha et al. Aug 2016 A1
20160256097 Manautou et al. Sep 2016 A1
20160256590 Taghipour Sep 2016 A1
20160263263 Robert Sep 2016 A1
20160263268 Kirschman Sep 2016 A1
20160267776 Martin Sep 2016 A1
20160292781 Nahmad et al. Oct 2016 A1
20160313290 Forzani et al. Oct 2016 A1
20160332170 Wennerstrom Nov 2016 A1
20160334121 Oobayashi Nov 2016 A1
20160348938 Simon et al. Dec 2016 A1
20160356511 Messinger et al. Dec 2016 A1
20160363332 Blackley Dec 2016 A1
20160363339 Blackley Dec 2016 A1
20160370021 Wiley et al. Dec 2016 A1
20160370029 Kurelowech Dec 2016 A1
20160377305 Kwa Dec 2016 A1
20170007954 Ehdaie Jan 2017 A1
20170010006 Kim et al. Jan 2017 A1
20170021298 Williams et al. Jan 2017 A1
20170080373 Engelhard Mar 2017 A1
20170089810 Novaro Mar 2017 A1
20170095762 Wolowicz Apr 2017 A1
20170097165 Yasuda et al. Apr 2017 A1
20170098230 Orangkhadivi Apr 2017 A1
20170103633 Khire et al. Apr 2017 A1
20170108231 Hasegawa et al. Apr 2017 A1
20170130981 Willette et al. May 2017 A1
20170159964 Arai et al. Jun 2017 A1
20170167743 Dempsey et al. Jun 2017 A1
20170189844 McLeod et al. Jul 2017 A1
20170193788 Kim et al. Jul 2017 A1
20170193792 Bermudez Rodriguez et al. Jul 2017 A1
20170234570 Livchak et al. Aug 2017 A1
20170248332 Wright et al. Aug 2017 A1
20170268797 Mowris et al. Sep 2017 A1
20170273256 Hutzel Sep 2017 A1
20170273845 Phillips et al. Sep 2017 A1
20170314812 Hurley Nov 2017 A1
20170323550 Patil et al. Nov 2017 A1
20170328591 Kelly et al. Nov 2017 A1
20170333838 Bender et al. Nov 2017 A1
20170341001 Jousma et al. Nov 2017 A1
20170341002 Cama et al. Nov 2017 A1
20170343227 Mowris Nov 2017 A1
20170347499 Ross et al. Nov 2017 A1
20170350610 Michielsen et al. Dec 2017 A1
20170350611 Su et al. Dec 2017 A1
20170356670 Zhang et al. Dec 2017 A1
20170368488 Wall Dec 2017 A1
20180001249 Sher Jan 2018 A1
20180017275 Merrill Jan 2018 A1
20180017278 Klein et al. Jan 2018 A1
20180017513 Le Neel et al. Jan 2018 A1
20180017536 Le Neel et al. Jan 2018 A1
20180021613 Li Jan 2018 A1
20180023831 Ha et al. Jan 2018 A1
20180023834 Hatch et al. Jan 2018 A1
20180073759 Zhang Mar 2018 A1
20180119973 Rothman et al. May 2018 A1
20180119974 Kotake et al. May 2018 A1
20180135877 Seiler May 2018 A1
20180148180 Fagundes et al. May 2018 A1
20180304472 Angle et al. Oct 2018 A1
20180350226 Martin Dec 2018 A1
20190097827 Angle et al. Mar 2019 A1
20190178522 Sun et al. Jun 2019 A1
20190209806 Allen et al. Jul 2019 A1
20190242592 Adamek et al. Aug 2019 A1
20190353378 Ramamurti et al. Nov 2019 A1
20190353379 Lee et al. Nov 2019 A1
20190361412 Park et al. Nov 2019 A1
20200273268 Bhattacharyya et al. Aug 2020 A1
20210045640 Poltorak Feb 2021 A1
20210131681 Duncan May 2021 A1
20210156582 Stevenson et al. May 2021 A1
20210158975 Turney et al. May 2021 A1
Foreign Referenced Citations (67)
Number Date Country
102019120 Apr 2011 CN
102353751 Feb 2012 CN
102393882 Mar 2012 CN
202792383 Mar 2013 CN
203090662 Jul 2013 CN
104089361 Oct 2014 CN
203949322 Nov 2014 CN
104359815 Feb 2015 CN
104534617 Apr 2015 CN
103958976 Nov 2016 CN
106196506 Dec 2016 CN
107676931 Feb 2018 CN
107940682 Apr 2018 CN
10108274 Sep 2002 DE
0893657 Jan 1999 EP
1402935 Mar 2004 EP
1904905 Apr 2008 EP
2450640 May 2012 EP
2134556 Jul 2012 EP
2368616 Dec 2012 EP
2564114 Mar 2013 EP
2713159 Apr 2014 EP
2891019 Jul 2015 EP
2937961 Oct 2015 EP
3040948 Jul 2016 EP
3073883 Oct 2016 EP
3121524 Jan 2017 EP
H05180487 Jul 1993 JP
2007083106 Apr 2007 JP
2007120815 May 2007 JP
2011146137 Jul 2011 JP
5231476 Jul 2013 JP
2014208343 Nov 2014 JP
2015114014 Jun 2015 JP
2015152175 Aug 2015 JP
2018017403 Feb 2018 JP
100182648 May 1999 KR
20000007498 Feb 2000 KR
100355352 Sep 2002 KR
20030016787 Mar 2003 KR
100509332 Aug 2005 KR
100556066 Mar 2006 KR
100721458 May 2007 KR
20070072787 Jul 2007 KR
100782175 Dec 2007 KR
100819077 Apr 2008 KR
100930346 Dec 2009 KR
20100089605 Aug 2010 KR
101013372 Feb 2011 KR
20110074222 Jun 2011 KR
20110093329 Aug 2011 KR
10-1492316 Feb 2015 KR
101566592 Nov 2015 KR
101765454 Aug 2017 KR
101771053 Aug 2017 KR
20170122043 Nov 2017 KR
20180007381 Jan 2018 KR
92350 Jul 2015 LU
WO-9409324 Apr 1994 WO
WO-2005110580 Nov 2005 WO
WO-2012177072 Dec 2012 WO
WO-2013163612 Oct 2013 WO
WO-2015078672 Jun 2015 WO
WO-2016102337 Jun 2016 WO
WO-2016139544 Sep 2016 WO
WO-2017146637 Aug 2017 WO
WO-2017157987 Sep 2017 WO
Non-Patent Literature Citations (38)
Entry
“Clean Your Air with Keen Home Smart Filters”, Keen Home, Inc., <https://keenhome.io/pages/smart-filter> 2018.
“Home Comfort: Digital, App-Based Climate Control”, Ecovent Systems Inc., <https://www.ecoventsystems.com/> 2018.
“Meet the Keen Home Zoning System—How It Works”, Keen Home, Inc., <https://keenhome.io/pages/how-it-works> 2018.
Doty, Steve, et al., “Building Operations: Balancing Energy Efficiency with Indoor Air Quality”, 2009.
El Mankibi, Mohamed, “Indoor air quality control in case of scheduled or intermittent occupancy based building: Development of a scale model”, 2009.
Emmerich, Steven, et al., “Indoor air quality impacts of residential HVAC systems, phase 1 report: Computer simulation plan”, NISTIR 5346: Building and Fire Research Laboratory; National Institute of Standards and Technology: http://www.researchgate.net/profile/Steven_Emmerich/publication/236454476_Indoor_air_quality_impacts_of_residential_HVAC_systems_phase_1_report_Computer_simulation_plan/links/565f5f2308ae1ef929854780.pdf; Feb. 1994; 108 Pages.
Footbot; Product Specifications; www.footbot.io. Accessed Sep. 13, 2017.
Herberger, Simone, et al., “Indoor Air Quality Monitoring Improving Air Quality Perception”, 2012.
International Search Report of the ISA/KR regarding International Application No. PCT/US2018/062190 dated Mar. 21, 2019.
International Search Report of the ISA/KR regarding International Application No. PCT/US2019/028402 dated Aug. 7, 2019.
International Search Report of the ISA/KR regarding International Application No. PCT/US2019/028408 dated Aug. 9, 2019.
International Search Report of the ISA/KR regarding International Application No. PCT/US2019/028410 dated Aug. 7, 2019.
International Search Report regarding International Application No. PCT/US2019/028391 dated Aug. 14, 2019.
Notice of Allowance regarding U.S. Appl. No. 16/196,703 dated May 14, 2020.
Notice of Allowance regarding U.S. Appl. No. 16/196,744 dated Apr. 27, 2020.
Notice of Allowance regarding U.S. Appl. No. 16/196,744 dated Mar. 4, 2020.
Notice of Allowance regarding U.S. Appl. No. 16/196,770 dated May 5, 2020.
Notice of Allowance regarding U.S. Appl. No. 161/196,770 dated Mar. 3, 2020.
Shaw, C. Y., “Maintaining acceptable air quality in office buildings through ventilation”, Construction Technology Updated No. 3, Institute for Research in Construction, National Research Council of Canada, Jan. 1997; 4 Pages.
Turner, William J.N., et al, “Energy and IAQ implications of residential ventilation cooling”, ResearchGate: http://www.researchgate.net/profile/William_Turner10/publication/278961832_Energy_and_IAQ_implications_of_residential_ventilation_cooling/links/5587e12608aef58c03a06547.pdf, Aug. 2014; 52 pages.
Written Opinion of the ISA/KR regarding International Application No. PCT/US2018/062190 dated Mar. 21, 2019.
Written Opinion of the ISA/KR regarding International Application No. PCT/US2019/028391 dated Aug. 14, 2019.
Written Opinion of the ISA/KR regarding International Application No. PCT/US2019/028402 dated Aug. 7, 2019.
Written Opinion of the ISA/KR regarding International Application No. PCT/US2019/028408 dated Aug. 9, 2019.
Written Opinion of the ISA/KR regarding International Application No. PCT/US2019/028410 dated Aug. 7, 2019.
Zhong, Lexuan, et al., “Ozonation Air Purification Technology in HVAC Applications”, Concordia University: http://www.researchgate.net/profile/Lexuan_Zhong/publication/260363850_Ozonation_Air_Purification_Technology_in_HVAC_Applications/links/0a85e530e28d98ecf4000000, 2014; 8 Pages.
Non-Final Office Action regarding U.S. Appl. No. 17/048,798 dated Sep. 14, 2021.
Notice of Allowance regarding U.S. Appl. No. 17/048,798 dated Oct. 19, 2021.
U.S. Appl. No. 17/048,798, filed Oct. 19, 2020, Stuart K. Morgan.
U.S. Appl. No. 17/078,019, filed Oct. 22, 2020, Stuart K. Morgan.
U.S. Appl. No. 17/048,887, filed Oct. 19, 2020, Stuart K. Morgan.
U.S. Appl. No. 17/148,946, filed Oct. 19, 2020, Stuart K. Morgan.
U.S. Appl. No. 17/048,967, filed Oct. 19, 2020, Hung M. Pham.
Extended European Search Report regarding Application No. 19787690.7 dated Dec. 10, 2021.
Extended European Search Report regarding Application No. 19789429 dated Dec. 17, 2021.
Non-Final Office Action regarding U.S. Appl. No. 17/078,019 dated Feb. 15, 2022.
Notice of Allowance regarding U.S. Appl. No. 17/048,887 dated Apr. 14, 2022.
Applicant-Initiated Interview Summary regarding U.S. Appl. No. 17/078,019 dated Apr. 27, 2022.
Related Publications (1)
Number Date Country
20210239335 A1 Aug 2021 US
Provisional Applications (1)
Number Date Country
62660354 Apr 2018 US