COMBINED STATISTICAL AND PHYSICS BASED MODEL CONTROL AND PERFORMANCE METHOD AND SYSTEM

• US 20160054712A1
• Filed: 08/22/2014
• Published: 02/25/2016
• Est. Priority Date: 08/22/2014
• Status: Active Application

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: McFarland, Norman R., Ahmed, Osman
• Application Number:
  US14/466,419
• Publication Number:
  US 20160054712A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 13/04 involving the use of models or simulators
• CPC Class Codes: G05B 13/041 in which a variable is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/25011 Domotique, I-O bus, home automation, building automation
• CPC Class Codes: H04L 12/2803 Home automation networks
• CPC Class Codes: H04L 12/2829 involving user profiles according to which the execution of a home appliance functionality is automatically triggered

Abstract

An approach for statistically modeling a room or building in a building automation system to provide fault detection and diagnostics and economic optimization of the building automation system using statistical data.

Claims

1. A building automation system (BAS) (100), comprising:

a first plurality of data (904) associated with a room (402) received by a processor (122) in the BAS (100) having a first set of point values (810) for the room (402);

a room model (502) for the room (402) stored in a memory (124) coupled to the processor (122), where the first plurality of data (904) is applied to the room model (502) and the results integrated into a database (710) stored in memory (124); and

an optimized set point (808) settings generated from an optimized set of point offsets (812) identified by an optimizer module (708) controlled by the processor (122) using the first set of point values (810) and the optimized set of point offsets (812).

2. The BAS (100) of claim 1, includes:

a fault detection and diagnostic module (706) controlled by the processor (122) that is in receipt of the first plurality of data (904) applied to the room model (502) and compares it to statistical data (710) associated with the room model (502); and

a message generated by the fault detection and diagnostic module (706) in response to the comparison of the statistical data (710) with the room model (502) that indicates abnormal operation.

3. The BAS (100) of claim 1, where the optimizer module (708) further includes an economic model (802) that receives the first plurality of data (904) and generates the optimized (908) values based upon at least one economic priority.

4. The BAS (100) of claim 3, where the economic priority is energy use.

5. The BAS (100) of claim 3, where the economic priority is energy cost.

6. The BAS (100) of claim 3, includes additional sensor data (806) that is applied to the economic model (802) in addition to the first plurality of data (904).

7. The BAS (100) of claim 6, where the additional sensor data (806) includes at least weather data.

8. A method of adjusting a building automation system (BAS) (100), comprising:

receiving a first plurality of data (904) associated with a room (402) in the BAS (100) that has a first set of point values (810) for the room (402);

storing a room model (502) for the room (402) in a memory (124) coupled to a processor (122);

applying the first plurality of data (904) to the room model (502) and integrating the results of the first plurality of data (904) applied to the room model (502) into a database (710) stored in the memory (124);

identifying an optimized set of point offsets (812) by an optimizer module (708) using the first set of point values (810) and the optimized set of point offsets (812); and

generating by the optimizer module (708), an optimized set of point settings 808.

9. The method of adjusting a BAS (100)of claim 8, includes:

receiving at a fault detection and diagnostic module (706) controlled by a processor (122) the first plurality of data (904) applied to the room model;

comparing the first plurality of data (904) applied to the room model (502) to statistical data (710) associated with the room model (502); and

generating a message by the fault detection and diagnostic module (706) in response to the comparison of the statistical data (710) with the room model (502) that indicates abnormal operation.

10. The method of adjusting the BAS (100) of claim 9, where the optimizer module (708) further includes, receiving at an economic model (802) the first plurality of data (904);

and

generating the optimized values (804) based upon at least one economic priority.

11. The method of adjusting the BAS (100) of claim 10, where the economic priority is energy use.

12. The method of adjusting the BAS (100) of claim 10, where the economic priority is energy cost.

13. The method of adjusting the BAS (100) of claim 10, includes additional sensor data (806) that is applied to the economic model (802) in addition to the first plurality of data (904).

14. The method of adjusting the BAS (100) of claim 13, where the additional sensor data (806) includes at least weather data.

15. A tangible computer-readable medium with a plurality of machine readable instructions, that when executed, perform a method of adjusting a building automation system (BAS) (100), comprising:

receiving a first plurality of data (904) associated with a room (402) in the BAS (100) that has a first set of point values (810) for the room (402);

storing a room model (502) for the room (402) in a memory (124) coupled to the processor (122);

applying the first plurality of data (904) to the room model (502) and integrating the results of the first plurality of data (904) applied to the room model (502) into a database (710) stored in the memory (124);

identifying an optimized set of point offsets (812) by an optimizer module (708) using the first set of point values (810) and the optimized set of point offsets (812); and

generating by the optimizer module(708), an optimized set of point settings(808).

16. The tangible computer-readable medium with a plurality of machine readable instructions, that when executed, perform a method of adjusting the BAS (100) of claim 15, includes:

receiving at a fault detection and diagnostic module (706) controlled by a processor (122) the first plurality of data (904) applied to the room model (502);

comparing the first plurality of data (904) applied to the room model (502) to statistical data (710) associated with the room model (502); and

generating a message by the fault detection and diagnostic module (706) in response to the comparison of the statistical data (710) with the room model (502) that indicates abnormal operation.

17. The tangible computer-readable medium with a plurality of machine readable instructions, that when executed, perform a method of adjusting the BAS (100) of claim 15, where the generating by the optimizer module (708) further includes, receiving at an economic model (802) the first plurality of data (904);

and

generating the optimized values (804) based upon at least one economic priority.

18. The tangible computer-readable medium with a plurality of machine readable instructions, that when executed, perform a method of adjusting the BAS (100) of claim 17, where the economic priority is energy use.

19. The tangible computer-readable medium with a plurality of machine readable instructions, that when executed, perform a method of adjusting the BAS (100) of claim 17, where the economic priority is energy cost.

20. The tangible computer-readable medium with a plurality of machine readable instructions, that when executed, perform a method of adjusting the BAS (100) of claim 17, includes additional sensor data (806) that is applied to the economic model (802) in addition to the first plurality of data (904).

21. The tangible computer-readable medium with a plurality of machine readable instructions, that when executed, perform a method of adjusting the BAS (100) of claim 20, where the additional sensor data (806) includes at least weather data.