Patent Grant
11226128
The present disclosure relates to environmental control systems and more particularly to systems and methods for monitoring indoor air quality and occupant conditions.
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.
In a feature, an indoor air quality (IAQ) system for a building is described. The IAQ system includes at least one of: a temperature sensor configured to measure a temperature of air at the temperature sensor; a relative humidity (RH) sensor configured to measure a RH of air at the RH sensor; a particulate sensor configured to measure an amount of particulate of at least a predetermined size present in air at the particulate sensor; a volatile organic compound (VOC) sensor configured to measure an amount of VOCs present in air at the VOC sensor; and a carbon dioxide sensor configured to measure an amount of carbon dioxide present in air at the carbon dioxide sensor. The IAQ system also includes at least one of: a microphone; and a camera. The IAQ system also includes: a condition identification module configured to, based on output from the at least one of the microphone and the camera, indicate an occurrence of a user having a physical condition; and a correlation module configured to, based on the occurrence of the user having the physical condition and the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide, selectively identify the presence of a correlation between the occurrence of the user having the physical condition and the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide.
In further features, the condition identification module is configured to indicate the occurrence of the user at least one of coughing, wheezing, and sneezing based on a comparison the output from at least one of the microphone and the camera with predetermined output indicative of the at least one of coughing, wheezing, and sneezing.
In further features, the condition identification module is configured to indicate the occurrence of the user having watery eyes based on at least one of (a) receipt of user input indicative of the user having watery eyes and (b) a comparison of the output from the camera with predetermined output indicative of watery eyes.
In further features, the IAQ system further includes an IAQ sensor module including: the at least one of the temperature sensor, the RH sensor, the particulate sensor, the VOC sensor, and the carbon dioxide sensor; and at least one of the microphone and the camera.
In further features, the IAQ system further includes: an IAQ sensor module comprising the at least one of the temperature sensor, the RH sensor, the particulate sensor, the VOC sensor, and the carbon dioxide sensor, where at least one of the microphone and the camera is implemented separately from the IAQ sensor module.
In further features, the IAQ system further includes: a first transceiver configured to wirelessly transmit, via at least one antenna, the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide; and a second transceiver configured to wirelessly receive, from the first transceiver via at least one antenna, the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide, where the condition identification module receives the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide from the second transceiver.
In further features, the IAQ system further includes the correlation module is configured to selectively identify the presence of the correlation in response to the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide changing by at least a predetermined amount during a predetermined period before the occurrence of the user having the physical condition.
In further features, the IAQ system further includes the correlation module is configured to selectively identify the presence of the correlation in response to the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide being, within a predetermined period before the occurrence of the user having the physical condition, one of: greater than a predetermined value; and outside of a predetermined range.
In further features, the IAQ system further includes a computing device having a display, the computing device being configured to selectively display, on the display: the at least one of the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide over a period of time; and indicators of the occurrence of the user having the physical condition over the period of time.
In further features, the IAQ system further includes a mitigation module configured to selectively turn on and off at least one of a plurality of mitigation devices based on the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide.
In further features, the mitigation module is configured to: adjust a threshold value in response to the identification of the presence of the correlation; and turn on the at least one of the plurality of mitigation devices when the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide is greater than the threshold value.
In further features, the condition identification module configured to indicate an occurrence of a user having a physical condition in response to receipt of user input indicative of the user having the physical condition from a user computing device executing an application.
In a feature, a method includes: at least one of: by a temperature sensor within a building, measuring a temperature of air at the temperature sensor within a building; by a relative humidity (RH) sensor within the building, measuring a RH of the air at the RH sensor; by a particulate sensor within the building, measuring an amount of particulate of at least a predetermined size present in the air at the particulate sensor; by a volatile organic compound (VOC) sensor within the building, measuring an amount of VOCs present in the air at the VOC sensor; and by a carbon dioxide sensor within the building, measuring an amount of carbon dioxide present in the air at the carbon dioxide sensor; based on output from at least one of a microphone and a camera, indicating an occurrence of a user having a physical condition; and based on the occurrence of the user having the physical condition and the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide, selectively identifying the presence of a correlation between the occurrence of the user having the physical condition and the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide.
In further features, the indicating an occurrence of a user having a physical condition includes indicating the occurrence of the user at least one of coughing, wheezing, and sneezing based on a comparison the output from at least one of the microphone and the camera with predetermined output indicative of the at least one of coughing, wheezing, and sneezing.
In further features, the indicating an occurrence of a user having a physical condition includes indicating the occurrence of the user having watery eyes based on at least one of (a) receiving user input indicative of the user having watery eyes and (b) a comparison of the output from the camera with predetermined output indicative of watery eyes.
In further features, the method further includes: receiving, from an indoor air quality (IAQ) sensor module, the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide, the IAQ sensor module including the at least one of the temperature sensor, the RH sensor, the particulate sensor, the VOCs sensor, and the carbon dioxide sensor; and receiving, from the IAQ sensor module, the output of at least one of the microphone and the camera, the IAQ sensor module including the at least one of the microphone and the camera.
In further features, the method further includes: wirelessly transmitting, by a first transceiver via at least one antenna, the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide; wirelessly receiving, by a second transceiver via at least one antenna, the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide; and receiving the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide via the second transceiver.
In further features, selectively identifying the presence of a correlation includes selectively identifying the presence of a correlation in response to the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide changing by at least a predetermined amount during a predetermined period before the occurrence of the user having the physical condition.
In further features, selectively identifying the presence of a correlation includes selectively identifying the presence of a correlation in response to the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide being, within a predetermined period before the occurrence of the user having the physical condition, one of: greater than a predetermined value; and outside of a predetermined range.
In further features, the method further includes selectively displaying on a display of a computing device: the at least one of the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide over a period of time; and indicators of the occurrence of the user having the physical condition over the period of time.
In further features, the method further includes selectively turning on and off at least one of a plurality of mitigation devices based on the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide.
In further features, the method further includes: adjusting a threshold value in response to the identification of the presence of the correlation; and turning on the at least one of the plurality of mitigation devices when the at least one of the temperature, the RH, the amount of particulate, the amount of VOCs, and the amount of carbon dioxide is greater than the threshold value.
In further features, the method further includes indicating an occurrence of a user having a physical condition includes indicating the occurrence of the user having the physical condition in response to receipt of user input indicative of the user having the physical condition from a user computing device executing an application.
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.
The present disclosure will become more fully understood from the detailed description and the accompanying drawings, wherein:
In the drawings, reference numbers may be reused to identify similar and/or identical elements.
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 a 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 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.
The control module and/or the thermostat can provide information on the measurements of the IAQ sensor 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.
According to the present disclosure, a microphone, a camera, and/or one or more other types of devices may be implemented within the IAQ sensor module or separately. A condition identification module may identify occurrences of a physical condition of a user (e.g., coughing, sneezing, wheezing, watery eyes, use of a medical device) via output from the microphone, the camera, and/or the other types of devices. A correlation module may identify correlations between ones of the parameters measured by the IAQ sensor module and the physical conditions of the user. The identified correlations may, for example, help a user realize correlations between ones of the parameters and the physical conditions and/or be used to adjust mitigation to prevent future occurrences of the physical condition.
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
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
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
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
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.
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
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
In
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, as shown in
Referring to
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 parameters measured by the IAQ sensors will be referred to collectively as IAQ parameters.
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 IAQ sensor module 304 may also include a microphone 370, a camera 374, and/or one or more other types of condition sensors 378. The microphone 370 generates signals based on sound received (e.g., by users) at the microphone 370. The camera 374 captures images within a predetermined FOV of the camera 374. The predetermined FOV of the camera 374 may be fixed or variable. Examples of other types of condition sensors 378 include, but are not limited to, radar sensors, sonar sensors, optical sensors, infrared (IR) sensors, medical devices, etc. While the example of the microphone 370 and the camera 374 is provided, two or more microphones and/or two or more cameras may be implemented. The microphone 370, the camera 374, and the other types of condition sensors 378 will collectively be referred to as condition sensors. The condition sensors detect and indicate when a human experiences one or more medical conditions that may be related to IAQ, such as coughing, wheezing, watery eyes, and other types of medical conditions that may be related to IAQ.
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 and data captured by the condition 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. The measurements of the IAQ sensors may be sampled at a predetermined rate, such as 10 samples per minute or another suitable rate. The image capture rate of the camera 374 may be the predetermined rate or another (e.g., faster) predetermined rate. Each frame may correspond to a predetermined number of sets of samples (e.g., 10). The measurements of the condition sensors may also be sampled at the predetermined rate or another (e.g., faster) predetermined rate. 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, the measurements, and/or the captured data) 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).
As shown in
Referring now to
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.,
The IAQ control module 404 and/or the 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.
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 be 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.
As shown in
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
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
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.
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.
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
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.
For example, in
The customer device 524 selectively displays a user interface for user selection of a priority for mitigating deviations in IAQ parameters. 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.
A transceiver module 1000 receives the IAQ parameters from the IAQ sensor module 304 wirelessly or by wire. The transceiver module 1000 may receive the IAQ parameters wirelessly via one or more antennas, such as antenna 1002, 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).
A mitigation module 1004 controls operation of the mitigation devices 424 based on the IAQ parameters, as discussed above. For example, the mitigation module 1004 may turn on heating of the building when the temperature is less than the lower limit of the predetermined range for heating. The mitigation module 1004 may turn on cooling when the temperature is greater than the upper limit of the predetermined range for cooling. The mitigation module 1004 may turn on the air cleaner/purifier 428 when the amount of particulate measured by the particulate sensor 316 is greater than a first predetermined amount of particulate. The mitigation module 1004 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 mitigation module 1004 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 1004 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 mitigation module 1004 may turn the humidifier 432 on when the RH measured by the RH sensor 312 is less than the first predetermined RH. The mitigation module 1004 may leave the humidifier 432 on until the RH measured by the RH sensor 312 is greater than the second predetermined RH that is greater than the first predetermined RH. The mitigation module 1004 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 1004 may turn the dehumidifier 436 on when the RH measured by the RH sensor 312 is greater than the third predetermined RH. The mitigation module 1004 may leave the dehumidifier 436 on until the RH measured by the RH sensor 312 is less than the fourth predetermined RH that is less than the third predetermined RH. The mitigation module 1004 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 1004 may turn the ventilator 440 on when the amount of VOCs measured by the VOC sensor 320 is greater than the first predetermined amount of VOCs. The mitigation module 1004 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 that is less than the first predetermined amount of VOCs. 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 second predetermined amount of VOCs.
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 the first predetermined amount of carbon dioxide. 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 the 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 transceiver module 1000 also receives condition input from the condition sensors, such as at least one of the microphone 370, the camera 374, and the other types of condition sensors 378, wirelessly or by wire. The transceiver module 1000 may receive the condition input wirelessly via one or more antennas, such as the antenna 1002, 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). Examples of other types of condition sensors 378 include user computing devices executing applications configured to generate condition input based on input to the user computing devices. A user can use a user computing device (e.g., a phone, tablet, thermostat, etc.) to manually flag when an individual is having a condition. The IAQ system records the date and time of the occurrence of the condition and can correlate the individual having the condition with one or more of the measured IAQ parameters without using input from the microphone 370 and the camera 374. For example, via a user computing device, a user may select condition input from one or more lists (e.g., a drop down menu in an application having different conditions, such as coughing, sneezing, wheezing, etc.) or manually or verbally input condition input. The condition input may additionally include a severity of a condition, such as a value (e.g., 1 to 10) where an increase in the value is indicative of an increase in severity of the condition. In various implementations, condition input from one or more condition sensors may be supplemented with condition input from a user computing device.
A condition identification module 1008 identifies the occurrence of a physical condition of a user based on the condition input. For example, the condition identification module 1008 may identify the occurrence of a user coughing, the occurrence of a user wheezing, the occurrence of a user sneezing, the occurrence of a user having watery eyes, and/or the occurrence of a user having another condition that may be related to IAQ.
The condition identification module 1008 may identify the occurrence of a user coughing, for example, based on the signal from the microphone 370 having predetermined characteristics of a cough. The condition identification module 1008 may identify the occurrence of a user sneezing, for example, based on the signal from the microphone 370 having predetermined characteristics of a sneeze. The condition identification module 1008 may identify the occurrence of a user wheezing, for example, based on the signal from the microphone 370 having predetermined characteristics of wheezing. The condition identification module 1008 may identify the occurrence of a user having watery eyes, for example, based on one or more images from the camera 374 having predetermined characteristics of watery eyes. The condition identification module 1008 may identify the occurrence of an asthmatic event of a user in response to a signal from a medical device (another type of condition sensors 378, such as an inhaler) indicative of administration of an asthma treatment medication. The condition identification module 1008 may generate a condition signal in response to the occurrence of a physical condition of a user.
A reporting module 1012 may transmit the IAQ parameters and the occurrence of conditions identified by the condition identification module 1008 to the customer device 524. The customer device 524 may display the IAQ parameters and indicators of the conditions identified on a display of the customer device 524 or the thermostat 208.
The reporting module 1012 may also transmit the IAQ parameters and the occurrence of conditions identified by the condition identification module 1008 to one or more other computing devices, such as a medical professional computing device 1016 associated with one or more medical professionals, such as one or more doctors. Based on the received data, the one or more medical professionals may diagnose the presence of a relationship between one or more IAQ parameters and the occurrence of a physical condition. The reporting module 1012 may transmit data via the transceiver module 1000 or via another transceiver.
Referring back to
One or more actions may be taken in response to the identification of a correlation. For example, the reporting module 1012 may also transmit identified correlations to the customer device 524 and/or the medical professional device 1016. Additionally or alternatively, the mitigation module 1004 may adjust control of one or more of the mitigation devices 424 based on the identified correlation. For example, when the correlation module 1020 identifies a correlation between coughing and high amounts of particulate matter, the mitigation module 1004 may decrease the first predetermined amount of particulate. Based on the decrease in the first predetermined amount of particulate, the mitigation module 1004 may turn on the air cleaner/purifier 428 sooner (i.e., when the amount of particulate is lower). This may help prevent the occurrence of the physical condition in the future.
After the adjustment, the mitigation module 1004 may monitor whether the correlation continues. If so, the mitigation module 1004 may further adjust control of one or more of the mitigation devices. If not, the adjustment may have helped prevent the occurrence of the physical condition. The reporting module 1012 may transmit data indicative of the correlation identified, the adjustment, and the response to the adjustment to the customer device 524 and/or the medical professional device 1016.
In response to a request for data from the customer device 524 or continuously, the reporting module 1012 transmits to the customer device 524 the stored IAQ parameters and indications from a predetermined period before the present time, inclusive. The customer device 524 displays graphs of the stored IAQ parameters and indications over time on a display.
At 1308, the correlation module 1020 obtains the stored IAQ parameters from a predetermined period (e.g., 1 minute, 30 seconds, 15 seconds, etc.) before the occurrence of the physical condition. The correlation module 1020 determines whether one or more of the IAQ parameters changed within the predetermined period before the occurrence of the physical condition. Additionally or alternatively, the correlation module 1020 may determine whether one or more of the IAQ parameters were outside of the predetermined ranges (in the examples of temperature and humidity) or greater than the predetermined values (in the examples of amount of particulate, amount of VOCs, and amount of carbon dioxide) during the predetermined period before the occurrence of the physical condition. If 1308 is true, control may continue with 1312. In various implementations, 1312 may be omitted, and control may transfer to 1320 when 1308 is true. If 1308 is false, control may transfer to 1316.
At 1312, the correlation module 1020 may determine whether, on at least a predetermined number of previous occurrences of the physical condition, the one or more of the IAQ parameters changed within the predetermined period before those occurrences of the physical condition. Additionally or alternatively, the correlation module 1020 may determine whether, on at least the predetermined number of previous occurrences of the physical condition, the one or more of the IAQ parameters were outside of the respective predetermined ranges or greater than the respective predetermined values during the predetermined period before those occurrence of the physical condition. If 1312 is true, control may continue with 1320. If 1312 is false, the correlation module 1020 may indicate that no correlation is present between the IAQ parameters and the occurrence of the physical condition at 1316, and control may return to 1304.
At 1320, the correlation module 1020 indicates that a correlation is present between the one or more of the IAQ parameters and the occurrence of the physical condition. The reporting module 1012 may transmit, to the customer device 524 and/or the medical professional device 1016, the diagnosis of the correlation and the underlying data for the one or more of the IAQ parameters and the occurrence(s) of the physical condition. At 1324, the mitigation module 1004 may adjust one or more mitigation parameters based on the identified correlation between the one or more of the IAQ parameters and the occurrence of the physical condition. For example, the mitigation module 1004 may adjust one or more of the respective predetermined values or respective predetermined ranges associated with the one or more of the IAQ parameters. For example, if the correlation module 1020 identifies a correlation between high amounts of particulate and coughing, the mitigation module 1004 may decrease the predetermined amount of particulate at which the mitigation module 1004 begins mitigation of PM, such as by turning on the air cleaner/purifier 428. This may help prevent future occurrences of the physical condition. In various implementations, 1324 may be omitted.
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®.
This application is the U.S. National Phase Application under 35 U.S.C. 371 of International Application No. PCT/US2019/028391, filed on Apr. 19, 2019, which claims the benefit of U.S. Provisional Application No. 62/660,346, filed on Apr. 20, 2018. The entire disclosures of the application applications referenced above are incorporated herein by reference.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/US2019/028391 | 4/19/2019 | WO | 00 |
| Publishing Document | Publishing Date | Country | Kind |
|---|---|---|---|
| WO2019/204779 | 10/24/2019 | WO | A |
| 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 |
| 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 et al. | 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 | Seck | 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 |
| 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 et al. | 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 |
| 20030070544 | Mulvaney et al. | Apr 2003 | 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 et al. | 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 | Jun 2012 | A1 |
| 20120323374 | Dean-Hendricks et al. | Dec 2012 | A1 |
| 20130014522 | Lukasse et al. | Jan 2013 | A1 |
| 20130144527 | Kuhnreichi | Jun 2013 | A1 |
| 20130174841 | McAuley et al. | Jul 2013 | A1 |
| 20130184875 | Miura | Jul 2013 | A1 |
| 20130226352 | Dean-Hendricks et al. | Aug 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 |
| 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 |
| 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 et al. | 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 et al. | 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 et al. | 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 |
| 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 | 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 et al. | 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 |
| 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 |
| 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-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 |
| 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 Application 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. |
| U.S. Appl. No. 17/048,982, 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. 17/048,946, filed Oct. 19, 2020, Stuart K. Morgan. |
| U.S. Appl. No. 17/048,967, filed Oct. 19, 2020, Hung M. Pham. |
| Number | Date | Country | |
|---|---|---|---|
| 20210116144 A1 | Apr 2021 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62660346 | Apr 2018 | US |
