IP Library Granted Patent US 11,741,165
Granted Patent B2
US 11,741,165 · App. 17/872,705 · Granted Aug 29, 2023

Building management system with semantic model integration

Inventors: Kunal Saini (Brookfield, WI); Gerald A. Asp (Milwaukee, WI); Matthew T. Trawicki (Franklin, WI); Craig A. Lind (Milwaukee, WI)
Assignee: Johnson Controls Tyco IP Holdings LLP
G06F16/9035G06F3/04842G06F16/28G06F16/906G06F16/9038
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Quick Facts
Patent No.
US 11,741,165
App. No.
17/872,705
Granted
Aug 29, 2023
Kind
B2
Abstract

A building management system (BMS) includes memory devices having instructions stored thereon that, when executed by processors, cause the processors to perform operations including obtaining a BMS ontology data model defining a plurality of BMS model classes and relationships between the BMS model classes, assigning a BMS model class selected from the plurality of BMS model classes to a plurality of BMS object definitions, generating a semantic site model by classifying a plurality of BMS objects associated with a building site according to the BMS object definitions and the BMS model classes assigned thereto, and transmitting a notification using the semantic site model.

Claims (62)

1. A building management system (BMS) comprising:

one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

obtaining a BMS ontology data model defining a plurality of BMS model classes and relationships between the BMS model classes;

assigning a BMS model class to a plurality of BMS object definitions, wherein the BMS model class is a semantic identifier selected from the plurality of BMS model classes defined by the BMS ontology data model;

generating a semantic site model by classifying a plurality of BMS objects associated with a building site according to the BMS object definitions and the BMS model classes assigned thereto; and

transmitting a notification using the semantic site model.

2. The BMS of claim 1 , the operations further comprising:

presenting, via a graphical user interface, the semantic site model;

receiving a user input indicating one or more user defined policies, wherein the user defined policies pertain to the BMS objects; and

updating one or more control actions using the user defined policies, wherein the control actions include one or more parameter setpoints.

3. The BMS of claim 1 , the operations further comprising:

determining, from a plurality of control actions, an optimal set of control actions using the semantic site model;

presenting, via a graphical user interface, the optimal set of control actions;

receiving a user input indicating a change to the optimal set of control actions; and

updating the optimal set of control actions to include the change to the optimal set of control actions.

4. The BMS of claim 1 , wherein assigning the BMS model class to each of the plurality of BMS object definitions further comprises:

receiving a user selection of the BMS model class for each of the BMS object definitions; and

assigning the BMS model class to each of the plurality of BMS object definitions based on the user selection.

5. The BMS of claim 1 , wherein the BMS objects associated with the building site include at least one of equipment objects representing specific building equipment and point objects representing specific points in the BMS.

6. The BMS of claim 1 , wherein the BMS objects associated with the building site include space objects representing specific spaces in the building site and wherein the plurality of BMS object definitions further comprise space definitions defining a plurality of different spaces.

7. The BMS of claim 1 , the operations further comprising:

obtaining a fault detection rule for the building site, the fault detection rule comprising one or more fault criteria defined without reference to one or more particular BMS objects needed to evaluate the fault criteria;

using the semantic site model to identify the particular BMS objects needed to evaluate the fault criteria; and

detecting a fault condition by evaluating the one or more fault criteria using data associated with the particular BMS objects.

8. The BMS of claim 7 , wherein evaluating the fault criteria comprises comparing a value provided by one or more of the particular BMS objects against a threshold.

9. A method comprising:

obtaining a BMS ontology data model defining a plurality of building management system (BMS) model classes and relationships between the BMS model classes;

assigning a BMS model class to a plurality of BMS object definitions, wherein the BMS model class is a semantic identifier selected from the plurality of BMS model classes defined by the BMS ontology data model;

generating a semantic site model by classifying a plurality of BMS objects associated with a building site according to the BMS object definitions and the BMS model classes assigned thereto; and

transmitting a notification using the semantic site model.

10. The method of claim 9 , further comprising:

presenting, via a graphical user interface, the semantic site model;

receiving a user input indicating one or more user defined policies, wherein the user defined policies pertain to the BMS objects; and

updating one or more control actions using the user defined policies, wherein the control actions include one or more parameter setpoints.

11. The method of claim 9 , further comprising:

determining, from a plurality of control actions, an optimal set of control actions using the semantic site model;

presenting, via a graphical user interface, the optimal set of control actions;

receiving a user input indicating a change to the optimal set of control actions; and

updating the optimal set of control actions to include the change to the optimal set of control actions.

12. The method of claim 9 , wherein assigning the BMS model class to each of the plurality of BMS object definitions further comprises:

receiving a user selection of the BMS model class for each of the BMS object definitions; and

assigning the BMS model class to each of the plurality of BMS object definitions based on the user selection.

13. The method of claim 9 , wherein the BMS objects associated with the building site include at least one of equipment objects representing instances of building equipment and point objects representing specific points in the BMS.

14. The method of claim 9 , wherein the BMS objects associated with the building site include space objects representing specific spaces in the building site and wherein the plurality of BMS object definitions further comprise space definitions defining a plurality of different spaces.

15. The method of claim 9 , further comprising:

determining one or more fault detection rules for the building site;

detecting a trigger condition based on the one or more fault detection rules, the trigger condition indicating a fault and a first BMS object associated with the fault; and

identifying one or more additional BMS objects associated with the fault based on the semantic data model.

16. The method of claim 15 , wherein the trigger condition comprises an indication that one or more parameters associated with the first BMS object exceed a threshold.

17. The method of claim 15 , wherein determining one or more additional BMS objects associated with the fault comprises:

identifying a BMS model class associated with the first BMS object; and

identifying the one or more additional BMS objects based on the relationships between the BMS model classes.

18. A building management system (BMS) comprising:

one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

generating a semantic site model by classifying a plurality of BMS objects associated with a building site according to a plurality of BMS object definitions, each BMS object definition comprising an equipment definition defining a type of equipment and at least one point definition defining a type of point, wherein each BMS object definition is assigned a BMS model class selected from a BMS ontology data model;

obtaining a fault detection rule for the building site, the fault detection rule comprising one or more fault criteria defined without reference to one or more particular BMS objects needed to evaluate the fault criteria;

using the semantic site model to identify the particular BMS objects needed to evaluate the fault criteria;

detecting a fault condition by evaluating the one or more fault criteria using data associated with the particular BMS objects; and

initiating an automated adjustment of one or more parameters associated with the particular BMS objects in response to detecting the fault condition.

19. The BMS of claim 18 , the operations further comprising:

obtaining the BMS ontology data model defining a plurality of BMS model classes and relationships between the BMS model classes, wherein the BMS model classes are semantic identifiers selected from the plurality of BMS model classes defined by the BMS ontology data model.

20. The BMS of claim 18 , wherein the BMS objects associated with the building site include space objects representing specific spaces in the building site and wherein the plurality of BMS object definitions further comprise space definitions defining a plurality of different spaces.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 9, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 067056/0552 →
Continuity (2)
Continuation 17039364 · Sep 30, 2020
Related Publication 20220358165A1 · Nov 10, 2022