Methods, systems and computer program products for controlling a climate in a building

• US 20060111816A1
• Filed: 11/09/2005
• Published: 05/25/2006
• Est. Priority Date: 11/09/2004
• Status: Active Grant

• Current Assignee: Truveon Corp.
• Original Assignee: Truveon Corp.
• Inventors: Nortman, Randall C., Spalink, Jan-Dieter
• Granted Patent: US 7,839,275 B2
• Time in Patent Office: Days
• US Class Current: 700/276
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/38 Failure diagnosis
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/64 using pre-stored data
• CPC Class Codes: F24F 2110/10 Temperature
• CPC Class Codes: F24F 2110/12 of the outside air
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: F24F 2120/20 Feedback from users
• CPC Class Codes: F24F 2130/00 Control inputs relating to environmental factors not covered by group F24F2110/00
• CPC Class Codes: F24F 2130/10 Weather information or forecasts
• CPC Class Codes: G05D 23/1931 to control the temperature of one space

Abstract

Methods, systems and computer program products are provided for controlling a climate in a building. Sensed data is received at a local processor in the building. The sensed data is associated with the climate in the building, weather outside the building and/or occupants of the building. The received sensed data is compared at the local processor with corresponding predictive data associated with the climate in the building, weather outside the building and/or occupants of the building. One or more parameters associated with the climate of the building is adjusted at the local processor based on a result of the comparison of the received sensed data and the predictive data.

Claims

1. A method for controlling a climate in a building, the method comprising:

receiving sensed data at a local processor in the building, the sensed data being associated with the climate in the building, weather outside the building and/or occupants of the building;

comparing, at the local processor, the received sensed data with corresponding predictive data associated with the climate in the building, weather outside the building and/or occupants of the building; and

adjusting, at the local processor, at least one parameter associated with the climate of the building based on a result of the comparison of the received sensed data and the predictive data.

2. The method of claim 1, further comprising:

comparing, at the local processor, the received sensed data with local performance metrics and/or specifications associated with the building, wherein adjusting further comprises adjusting at least one parameter associated with the climate based on a result of the comparison of the received sensed data and the local performance metrics and/or specifications associated with the building.

3. The method of claim 2, further comprising:

receiving, at a central processor coupled to the local processor, the sensed data associated with the building and sensed data associated with at least one other building;

analyzing, at the central processor, the received sensed data associated with the building and the at least one other building;

receiving, at the local processor from the central processor, a control modification based on the analyzed sensed data; and

modifying, at the local processor, the local performance metrics and/or specifications associated with the building based on the control modification.

4. The method of claim 3:

wherein receiving further comprises receiving non-sensed data associated with the building and non-sensed data associated with the at least one other building;

wherein analyzing, at the central processor, further comprises analyzing the received sensed and non-sensed data associated with the building and the at least one other building; and

wherein receiving, from the central processor, further comprises receiving a control modification based on the analyzed sensed and non-sensed data, at the local processor.

5. The method of claim 3:

wherein comparing, at the local processor, the received sensed data with local performance metrics and/or specifications associated with the building further comprises comparing, at the local processor, the received sensed data with the modified local performance metrics and/or specifications; and

wherein adjusting further comprises adjusting at least one parameter associated with the climate based on a result of the comparison of the received sensed data and the modified local performance metrics and/or specifications associated with the building.

6. The method of claim 3, further comprising modifying, at the local processor, the predictive data based on the control modification.

7. The method of claim 3, wherein receiving, at a central processor coupled to the local processor, the sensed data associated with the building is preceded by:

processing the sensed data, at the local processor, such that the sensed data reflects physical attributes of the building.

8. The method of claim 3, wherein receiving, at the central processor, is preceded by anonymizing the sensed data associated with the building and/or the occupants of the building and the at least one other building and/or occupants of the at least one other building.

9. The method of claim 1, further comprising:

receiving, at the local processor, a request for a thermal comfort condition and/or an indoor air quality condition, wherein adjusting further comprises adjusting at least one parameter associated with the climate of the building based on the received request so as to allow achievement of the requested thermal comfort condition and/or the indoor air quality condition.

10. The method of claim 9, further comprising converting, at the local processor, the received request for the thermal comfort condition and/or the indoor air quality condition into a form usable by the local processor to adjust the at least one parameter.

11. The method of claim 1, wherein adjusting further comprises adjusting the at least one parameter to maintain a predetermined pressure differential between an interior of the building and an exterior of the building.

12. The method of claim 11, wherein adjusting to maintain further comprises maintaining the predetermined pressure differential by allowing controlled amounts of air into the interior of the building.

13. A method according to claim 1 carried out by a computer program product embodied in a computer readable medium.

14. A method according to claim 3 carried out by a computer program product embodied in a computer readable medium.

15. A method according to claim 4 carried out by a computer program product embodied in a computer readable medium.

16. A method for controlling a climate in a building, comprising:

receiving a request for a thermal comfort condition and/or an indoor air quality condition at a local processor in the building;

converting, at the local processor, the request for the thermal comfort condition and/or the request for the indoor air quality condition into parameters used by the local processor to control the climate in the building; and

changing, at the local processor, at least one parameter associated with the climate of the building based on the converted request for the thermal comfort condition and/or the request for the indoor air quality condition and reference data associated with the building and/or at least one other building.

17. A system for controlling a climate in a building, the system comprising:

a local receiving module at a local processor in the building configured to receive sensed data, the sensed data being associated with the climate in the building, weather outside the building and/or occupants of the building;

a comparison module, at the local processor, configured to compare the received sensed data with corresponding predictive data associated with the climate in the building, weather outside the building and/or occupants of the building; and

a local adjustment module, at the local processor, configured to adjust at least one parameter associated with the climate of the building based on a result of the comparison of the received sensed data and the predictive data.

18. The system of claim 17:

wherein the comparison module is further configured to compare, at the local processor, the received sensed data with local performance metrics and/or specifications associated with the building; and

wherein the local adjustment module is further configured to adjust at least one parameter associated with the climate based on a result of the comparison of the received sensed data and the local performance metrics and/or specifications associated with the building.

19. The system of claim 18, further comprising:

a central receiving module, at a central processor coupled to the local processor, configured to receive the sensed data associated with the building and sensed data associated with at least one other building;

a central analyzing module, at the central processor, configured to analyze the received sensed data associated with the building and the at least one other building, wherein the local receiving module is further configured to receive, from the central processor, a control modification based on the analyzed sensed data; and

a local data processing module, at the local processor, configured to modify the local performance metrics and/or specifications associated with the building based on the control modification.

20. The system of claim 19:

wherein the central receiving module is further configured to receive non-sensed data associated with the building and non-sensed data associated with the at least one other building;

wherein the central analyzing module is further configured to analyze the received sensed and non-sensed data associated with the building and the at least one other building; and

wherein the local receiving module is further configured to receive a control modification based on the analyzed sensed and non-sensed data, at the local processor.

21. The system of claim 19:

wherein the local comparison module is further configured to compare the received sensed data with the modified local performance metrics and/or specifications; and

wherein the local adjustment module is further configured to adjust the climate based on a result of the comparison of the received sensed data and the modified local performance metrics and/or specifications associated with the building.

22. The system of claim 19, wherein the local data processing module is further configured to modify the predictive data based on the control modification.

23. The system of claim 19, wherein the local data processing module is further configured to process the sensed data, at the local processor, such that the sensed data reflects physical attributes of the building before the sensed data associated with the building is received by the central receiving module.

24. The system of claim 19, wherein the local data processing module is further configured to anonymize the sensed data associated with the building and the at least one other building before the sensed data associated with the building and the at least one other building is received by the central receiving module.

25. The system of claim 17:

wherein the local receiving module is further configured to receive a request for a thermal comfort condition; and

wherein the local adjustment module is further configured to adjust at least one parameter associated with the climate of the building based on the received request so as to allow achievement of the requested thermal comfort condition.

26. The system of claim 25, wherein the local data processing module is further configured to convert the received thermal comfort condition into a form usable by the local processor to adjust the at least one parameter.