System to profile, measure, enable and monitor building air quality

Abstract

A system and approach for profiling a building in terms of healthy indoor air quality. A health of the building may be defined and then measured. The process of defining and measuring may be continuous. With an enablement of artificial intelligence, a healthy building operation advisor service may support the process.

Description

BACKGROUND

The present disclosure pertains to an area concerning healthy facilities.

SUMMARY

The disclosure reveals a system and approach for profiling a building in terms of healthy indoor air quality. A health of the building may be defined and then measured. The process of defining and measuring may be continuous. With an enablement of artificial intelligence, a healthy building operation advisor service may support the process.

BRIEF DESCRIPTION OF THE DRAWING

FIG. 1 is a diagram of a system that consists of an arrangement for achieving and monitoring healthy buildings;

FIG. 2 is a diagram of a configuration of the present system in terms of steps; and

FIG. 3 is a diagram of an operating description of the present system

DESCRIPTION

The present system and approach may incorporate one or more processors, computers, controllers, user interfaces, wireless and/or wire connections, and/or the like, in an implementation described and/or shown herein.

This description may provide one or more illustrative and specific examples or ways of implementing the present system and approach. There may be numerous other examples or ways of implementing the system and approach.

Aspects of the system or approach may be described in terms of symbols in the drawing. Symbols may have virtually any shape (e.g., a block) and may designate hardware, objects, components, activities, states, steps, procedures, and other items.

The disclosure concerns a highly efficient system solution to profile, measure and artificial intelligence (AI) enable continuous monitor building indoor air quality (IAQ) to meet American Society of Heating, Refrigeration and Air-Conditioning Engineers (ASHRAE) coronavirus disease 2019 (COVID-19) guidelines from a building owner/facility management perspective, preparing workplaces and facilities to re-open whilst COVID-19 still exists in the community and reassuring employees, customers and visitors that a building, from offices and schools to airports and hotels, is healthy will be critical.

Building heating, ventilation and air conditioning (HVAC) system design: building owner/facility may have virtually no immediate knowledge whether a current HVAV system design supports the health building improvement to their HVAC systems, higher ventilation rates, airflow, filtration, increased filter cleaning/replacement, and so on.

Building healthy measurement may be noted. The occupant experience is not necessarily going to be measured by personal temperature preferences but by trust that the building is nurturing a healthy environment. And for a building owner/facility manager, both lack of a “Now” view how the building HVAC system has compliance with COVID19/healthy building guidance.

Health building continuous operation may be noted. For building facility management, a lack of an efficient way to maintain and operation building at the health building guidance, and lack of view of how efficiently to manage the system, where current gaps and where the potential risks are, should be known.

One may introduce a highly efficient system solution-to profile, measure an AI enabled continuous monitor building IAQ to meet ASHRAE COVID-19 guidelines, which enables our offering and service capability to win customers or help existing customers maintain and operate a building in a healthy status. A solution may include the following items: 1) A healthy building profiling system; 2) A healthy building measurement system; 3) An AI enabled healthy building measurement forecast and advisor service; 4) A healthy building operation strategy management; 5) A user friendly user interface (UI) to configure/display system-based healthy building operation strategies; and 6) A user friendly UI for healthy building measurement/forecast awareness dashboard for both building facility management and occupants (including tenants, visitors and others).

A solution may consist of the following features. 1) There may be a healthy building profile and measurement. 2) Healthy building definition and measurement. 2.1) There may be an AI enabled healthy building operation advisor service. An advisor service may generate a healthy building measurement forecast, generate operation guidelines for the profile defined, and generate operation strategy and activate a new strategy. 2.2) There may be a healthy building advisor service and continuous operation. 2.2.1) A building autonomous operation advisor service may be connected to a headend/BMS system and adaption. The advisor service may generate performance metrics and operation limits, and real-time track and operate as per above. 2.2.2) A cloud enabled operation: building may subscribe to an online advisor service. There may be a connection from a field headend or building management system (BMS) to a cloud advisor service. An advisor service may generate and confirm healthy operation performance metrics and operation guidelines, and notification limits. The advisor service may real-time track and operate per above. 2.2.3) A remote service: offline advisor service may initialize with building HVAC history operation data (e.g., 3+ months). An offline advisor service may generate and confirm healthy operation performance metrics and operation guidelines, and notification limits. A remote operator may periodically sync building HVAC operation data. The advisor service may real-time track and generate operation notifications. A remote operator may connect to a building BMS and apply changes as needed or desired. 3) A healthy building advisor service operation strategy may involve a rule engine, schedule queue, schedule execution engine, active schedule subscription from schedule queue, getting schedule data and executing set point.

A complete healthy building profiling system may cover a system from static design to dynamic running characteristics to meet ASHRAE COVID-19 guidelines. There may be a healthy building profiling via manual inputs, healthy building profiling via building HW drawing scan, and healthy building profiling via BMS graphics and configuration readings.

A healthy building measurement system may be noted. There may be a healthy building measurement/score system to support a measure of compliance of meeting ASHRAE COVID-19 guidelines. There may be a healthy building measurements baseline and benchmarking, and a healthy building gaps identification and suggestions.

An AI enabled building healthy measurement forecast and advisor service may be noted. There may be a building healthy measurement forecast based predicted HVAC system performance indicator, and a building healthy measurement forecast based on predicted HVAC asset/equipment performance indicator.

Healthy building operation strategy management may be noted. There may be a healthy building operation strategy definition for a pre-check mode, running mode, normal mode, and so on. There may be an enable/disable healthy building operation strategy, a rules engine to calculate a healthy system operation mode, on/off, operation mode, and so forth. The rules engine may take on working schedules like building operation schedules. There may be rules to define a default operation strategy, rules to define active operation strategy, and rules to define backup operation strategies.

A user friendly UI may be used to configure/display a system-based healthy building operation strategies. The user friendly UI may have a healthy building measurement/forecast awareness dashboard for both building facility management and occupants (including tenants, visitors, and so on).

A solution architecture may consist of a healthy building profile and measurement. Healthy building profiling may include a healthy building profile template and definition. A technician may input the building profile manually and the system may save data in the system, or the technician may scan a building hardware (HW) drawing to interpret a system profile and save data in the system, or the technician may connect the system to a running head-end system to read graphics and configurations and save profile data in the system.

Healthy building definition and measurement may include a health building score system and a healthy building measure engine that measures a building healthy status via reading the latest building profile data.

There may be a healthy building continuous operation. One operation may be an AI enabled healthy building operation advisor service. The service may incorporate an HVAC system and equipment health index quantification, data analytics and machine learning for system/equipment health prediction, an expert system for alarm generation and notification, a building ontology model for standardized deployment, an advisor service that generates a healthy building measurement forecast, an advisor service that generates an operation guideline per a profile defined, and advisor service that generate an operation strategy and activates a new strategy.

Another operation may be healthy building advisor service and continuous operation that includes a building autonomous operation, cloud enabled operation, and a remote service.

The building autonomous operation may incorporate an advisor service that connects to headend/BMS system and adaption, an advisor service that generates healthy operation performance metrics and operation limits, and an advisor service that real-time tracks and operates per above.

The cloud enabled operation may include a building that subscribes an online advisor service, a connection from a field headend/BMS system to a cloud advisor service, an advisor service that generates and confirms healthy operation performance metrics and operation guidelines and notification limits, and an advisor service that real-time tracks and operates per above.

The remote service may incorporate an offline advisor service that initializes with building HVAC history operation data (e.g., 3+ months), an offline advisor service that generates and confirms healthy operation performance metrics and operation guidelines, and notification limits, a remote operator that periodically syncs building HVAC operation data, an advisor service that real-time tracks and generates an operation notification, and a remote operator that connects to a building BMS and applies changes.

There may a healthy building advisor service operation strategy that includes a rule engine, schedule queue, and a schedule execution engine. The rule engine may incorporate in the present solution “Drools” as a business rule engine, points, operation schedules, and variable data that will be inserted into the rule engine as facts, apply rules to generate a schedule, and put the schedule into a queue. The schedule queue may use, in the present solution, an active message queuing (MQ) as a distributed queue. A schedule execution engine may have an active schedule subscription from a schedule queue, and get schedule data and execute a set point.

The present system and approach are about, while profiling the building, one may consider both indoor parameters (e.g., occupancy rate, space usage) and outdoor parameters (e.g., location, and density of buildings). These parameters may relate to air quality.

The present system and approach as described in the present specification, along with the Figures and claims, may be implemented with hardware where possible and/or practical. For example, the system and approach may utilize a controller incorporating a processor, memory, user interface with a keyboard, display, a touch screen and/or the like. The IAQ may be covered by a device designed to detect ingredients or substances that are associated with COVID-19 or a component of COVID-19, or other ingredient or substance indicative of an unhealthy environment, air, building, or the like. The IAQ and/or outside air quality (OAQ) may be detected, profiled and/or measured with hardware such as sensors, monitors, and the like. Analyses involving detection and identification of unhealthy or healthy substances in the air may be achieved with available hardware and/or software along with algorithms applicable to an analysis at hand. HVACs may have control electronics, and sets of heaters, air conditioners, ventilators, filters, vents, dampers, sensors, and actuators to manage health of the air in the buildings. The OAQ may be monitored in order to better control the IAQ. These items and additional items related to the air quality tasks may be managed by a building management system (BMS). The BMS may have processor, memory, user interface with a keyboard, display, a touch screen and/or the like. The memory may hold applicable algorithms that may be entered manually or downloaded from various sources. The BMS may be integrated with the HVAC. The BMS, or similar hardware, and software items may be integrated on-line and/or off-line relative to a cloud, internet and/or the like. Connections and interconnections may wired and/or wireless.

As to implementation, the diagrams may indicate a configuration and runtime of the present system and approach. FIG. 1 is a diagram of system 10 which may consist of a healthy building profile and measurement component 11, a healthy building measurement forecast component 12 and a healthy building continuous operation and strategy component 13. A healthy building profile module 15 may have an output to a building profile definition module 16, and an output to a healthy building measurement engine 17. A health building measurement definition module 18 may have an output to healthy building management engine 17. Healthy building profile module 15 may have an output to healthy survey results storage 19, a building hardware drawing scan module 20, and a head end graphic reading module 21.

An HVAC system predictive service module 22 may have an output to a healthy building advisor service module 23. HVAC asset/equipment predictive service module 24 may have an output to healthy building advisor service module 23. Also, an output from healthy building measurement engine 17 may go to healthy building advisor service module 23.

An output from building profile definition module 16 may go to a healthy building operation strategy module 25. An output from healthy building operation strategy module 25 may go to a building operation strategy definition module 26. An output from healthy building operation strategy module 25 may go to building operation strategies storage 27.

An output from building operation strategies storage 27 may go a rules engine 28. An output from rules engine 28 may go to a schedule queue module 29. From schedule queue 29 an output may go to operation strategy execution engine 30. An output from healthy building advisor service module 23 may go to healthy building operation strategy module 25 and operation strategy execution engine 30. An output from operation strategy execution engine 30 may go to a head end/BMS module 31. An output from the head end/BMS module 31 may go to rules engine 28 and another output from head end/BMS module 31 may go to healthy building measurement engine 17.

FIG. 2 is a diagram of a configuration 35 of the present system in terms of steps. One may configure a system at step 36. A healthy building profile definition may be configured at step 37. At step 38 a health building measurement definition may be configured. An output from step 37 may go to a step 39 where healthy building operation strategies are configured. With an output from step 39 and an output from a set of rules 40, equipment activities for each strategy may be configured at step 41.

FIG. 3 is a diagram of a running description 45 of the present system. Inputs to conduct building a healthy operation advisor service 46 may include generating a current system profile 47, an HVAC system prediction service 48 and an equipment/asset prediction service 49. From conducting building healthy operation advisor service 46, an output may go to generate an active operation strategy 50. An output from strategy 50 may go to download to execution 51 and then to a schedule queue storage 52. From execution 51 may be a download to execution 53. An output from execution 53 may go to head end/BMS 54.

To recap, a building health system may incorporate a healthy building profile measurement subsystem, a healthy building definition measurement subsystem, and an artificial intelligence (AI) enabled healthy building operation advisor service subsystem connected to a headend or building management subsystem (BMS). The healthy building profile measurement subsystem and the healthy building definition measurement subsystem may be connected to the headend or building management subsystem. The AI enabled healthy building operation advisor service subsystem may generate a healthy building measurement forecast operation strategy, generate operation guidelines including healthy operation performance indicators, building operation limits for the healthy building profile, and then trigger generation of an operation strategy for a healthy building as defined. The AI enabled healthy building operation advisor service subsystem may incorporate one more items selected from a group having rule engines, schedule queues, schedule execution engines, and active schedule subscriptions from schedule queues, getting schedule data and executing set points.

The AI enabled healthy building operation advisor service subsystem may have a continuous operation.

The system may further incorporate a building autonomous operation advisor service subsystem connected to the headend or BMS and adapted.

The building autonomous operation advisor service subsystem may generate performance metrics and operation limits, and provide real-time tracking and operation.

The system may further incorporate a cloud enabled online advisor service that an on premise building operation subsystem could subscribe.

The headend or BMS may be connected to the cloud enabled building operation advisory service subsystem.

The online advisor service may generate and confirm healthy operation performance metrics and operation guidelines, and notification limits. The online advisor service real-time may track system operations.

A remote service offline advisor service may initialize with building heating ventilation and air conditioning (HVAC) history operation data for a predetermined period of time. The offline advisor service may generate and confirm healthy operation performance metrics and operation guidelines, and notification limits. A remote operator may periodically or randomly sync with building HVAC operation data. The offline advisor service may real-time track and generate operation notifications. The remote operator may connect to the headend or BMS and apply changes as needed or desired by the remote operator.

A health building system may incorporate a building health profile and measurement module, a building health measurement forecast module connected to the building health profile and measurement module, a health building continuous operation and strategy module connected to the building health measurement forecast module, and a headend or building management system (BMS) connected to the building health profile and measurement module, the building health measurement forecast module, and the building health continuous operation and strategy module.

The system may further incorporate a heating, ventilation and air conditioning system (HVAC) connected to the headend or BMS.

The HVAC may depend on one or more factors selected from a group incorporating ventilation rates, airflow filtration, filter cleaning, and filter replacement.

A building inside air quality (IAQ) may be monitored so as to meet current ASHRAE COVID-19 guidelines. The IAQ may be monitored by the building health profile and measurement module.

The building health measurement forecast module may be artificial intelligence enabled, in that the building health measurement forecast module is based on a predicted HVAC system performance indicator, and on a predicted HVAC asset/equipment performance indicator.

An advisor service may generate building health measurement forecast operation guidelines per a predetermined profile and an operation strategy, and activate a new strategy to improve and maintain the IAQ.

A healthy building operation strategy may provide for a pre-check mode, running mode, and normal mode.

The system may further incorporate a rules engine to calculate a system health operation of an on/off operation mode.

Rules of the rules engine may define a default operation strategy, an active operation strategy, and backup operation strategies.

An approach for noting healthy buildings may incorporate profiling buildings in terms of a healthy indoor air quality (IAQ), defining healthy buildings, measuring health of buildings, continuously operating healthy buildings, and enabling with artificial intelligence a healthy building operation advisor service.

The approach may further incorporate operating a healthy building advisor service with a health effecting strategy.

The healthy building advisor may incorporate one or more items selected from a group having rule engines, schedule queues, schedule execution engines, active schedule subscriptions from schedule queues, schedule data and set points.

Any publication or patent document that may be noted herein is hereby incorporated by reference to the same extent as if each publication or patent document was specifically and individually indicated to be incorporated by reference.

In the present specification, some of the matter may be of a hypothetical or prophetic nature although stated in another manner or tense.

Although the present system and/or approach has been described with respect to at least one illustrative example, many variations and modifications will become apparent to those skilled in the art upon reading the specification. It is therefore the intention that the appended claims be interpreted as broadly as possible in view of the related art to include all such variations and modifications.

Claims

1. A building health system comprising: a heating, ventilation, and air conditioning (HVAC) system for a building including one or more sensors and one or more of: a heater, an air conditioner, a ventilator, a filter, a vent, a damper, and an actuator, for managing an indoor air quality of the building; andan artificial intelligence (AI) enabled indoor air quality building operation advisor service subsystem connected to the HVAC system including one or more of the sensors of the HVAC system, the AI enabled indoor air quality building operation advisor service subsystem: generates predicted indoor air quality equipment performance indicators for the HVAC system based at least in part on an output of one or more of the sensors of the HVAC system;generates an indoor air quality building measurement forecast based on the predicted indoor air quality equipment performance indicators;references indoor air quality guidelines;generates an operation strategy for the building to comply with the indoor air quality guidelines based at least in part on the indoor air quality building measurement forecast; andcontrols the HVAC system of the building in accordance with the operational strategy in order to comply with the generated indoor air quality guidelines; andthe AI enabled indoor air quality building operation advisor service subsystem incorporates one or more items selected from a group comprising rule engines, schedule queues, schedule execution engines, active schedule subscriptions from the schedule queues, getting schedule data and executing set points.

2. The system of claim 1, wherein the AI enabled indoor air quality building operation advisor service subsystem has continuous operation.

3. The system of claim 1, wherein the AI enabled indoor air quality building operation advisor services subsystem comprises a building autonomous operation advisor service subsystem.

4. The system of claim 3, wherein the building autonomous operation advisor service subsystem generates performance metrics and operation limits, and provides real-time tracking and operation.

5. The system of claim 4, wherein the AI enabled indoor air quality building operation advisor services subsystem comprises a cloud enabled online advisor service that an on premise building operation subsystem could subscribe.

6. The system of claim 5, wherein the HVAC system is connected to the cloud enabled building operation advisory service subsystem.

7. The system of claim 6, wherein: the online advisor service generates and confirms indoor air quality operation performance metrics and operation guidelines, and notification limits; andthe online advisor service real-time tracks building health system operations.

8. The system of claim 1, wherein: a remote service offline advisor service initializes using historical operation data of the HVAC system during a predetermined period of time;the offline advisor service generates and confirms indoor air quality operation performance metrics and operation guidelines, and notification limits;a remote operator periodically or randomly syncs with the HVAC system operation data;the offline advisor service real-time tracks and generates operation notifications; andthe remote operator connects to the HVAC system and applies changes as needed or desired by the remote operator.

9. A health building system comprises: a building health profile and measurement module;a building health measurement forecast module connected to the building health profile and measurement module;a health building continuous operation and strategy module connected to the building health measurement forecast module; anda heating, ventilation, and air conditioning (HVAC) system including an HVAC controller and one or more sensors, the HVAC system further including one or more of: a heater, an air conditioner, a ventilator, a filter, a vent, a damper, and an actuator, for managing an indoor air quality of the building, connected to the building health profile and measurement module, the building health measurement forecast module, and the building health continuous operation and strategy module;wherein the building health measurement forecast module is configured to generate an indoor air quality forecast based on predicted equipment performance indicators for equipment of the HVAC system; andthe controller of the HVAC system controls the HVAC system based at least in part on the indoor air quality forecast.

10. The system of claim 9, wherein the indoor air quality forecast depends on one or more of ventilation rates, airflow filtration, filter cleaning, and filter replacement.

11. The system of claim 9, wherein: the IAQ of at least part of the building is monitored by the building health profile and measurement module; andthe controller of the HVAC system controls the HVAC system so that the IAQ of the at least part of the building meets a current ASHRAE indoor air quality COVID-19 guidelines.

12. The system of claim 9, wherein the building health measurement forecast module is artificial intelligence enabled, in that the building health measurement forecast module is based on a predicted HVAC system performance indicator, and on a predicted HVAC asset/equipment performance indicator.

13. The system of claim 12, wherein an advisor service generates building health measurement forecast operation guidelines per a predetermined profile and an operation strategy, and activates a new strategy to improve and maintain the IAQ.

14. The system of claim 12, wherein an indoor air quality building operation strategy provides for a pre-check mode, running mode, and normal mode.

15. The system of claim 12, further comprising a rules engine to calculate a system health operation of an on/off operation mode.

16. The system of claim 15, wherein rules of the rules engine define a default operation strategy, an active operation strategy, and backup operation strategies.

17. A method for autonomous operation of buildings comprising: profiling buildings in terms of indoor air quality (IAQ) using an IAQ building profile measurement system;defining the buildings using a building definition measurement subsystem;measuring a health of the buildings;continuously operating a building of the buildings;enabling with artificial intelligence an indoor air quality building operation advisor service in communication with a heating, ventilation, and air conditioning (HVAC) system of the building, wherein the HVAC system of the building includes one or more sensors and one or more of: a heater, an air conditioner, a ventilator, a filter, a vent, a damper, and an actuator;generating an indoor air quality building measurement forecast based on predicted equipment performance indicators for equipment of the HVAC system using the indoor air quality building operation advisor service;generating indoor air quality operation performance metrics and operation limits using the indoor air quality building operation advisor service;generating an operation strategy for the building; andcontrol the HVAC system of the building in accordance with the operation strategy for the building so that the building operates within the operation limits.

18. The method of claim 17, wherein the indoor air quality building advisor incorporates one or more of a rule engines, a schedule queue, a schedule execution engine, an active schedule subscription from one or more schedule queues, schedule data and one or more set points.