CROWDSOURCING AUTOMATION SENSOR DATA

• US 20150379111A1
• Filed: 06/26/2014
• Published: 12/31/2015
• Est. Priority Date: 06/26/2014
• Status: Abandoned Application

• Current Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Original Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Inventors: Hwang, Jungtaik
• Application Number:
  US14/316,614
• Publication Number:
  US 20150379111A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 19/00 Programme-control systems
• CPC Class Codes: G05B 2219/25011 Domotique, I-O bus, home automation, building automation
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/16 Real estate
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

A computer-implemented method for crowdsourcing automation sensor data is described. In one embodiment, the method includes receiving data generated by a plurality of building automation systems and categorizing each of the plurality of building automation systems. The data generated by the plurality of building automation systems includes patterns of behavior identified by each of the plurality of building automation systems. The method includes sorting each of the plurality of building automation systems by category and analyzing the data generated by the plurality of building automation systems according to the category of each building automation system.

Claims

1. A method for crowdsourcing automation system data, comprising:

receiving, by a processor of a central server, data generated by a plurality of building automation systems, the data generated by the plurality of building automation systems comprising local patterns of behavior identified locally by each of the plurality of building automation systems;

categorizing, by the processor, each of the plurality of building automation systems;

sorting, by the processor, each of the plurality of building automation systems by category; and

analyzing, by the processor, the data generated by the plurality of building automation systems according to the category of each building automation system.

2. The method of claim 1, wherein categories include residential building, educational building, commercial building, industrial building, medical care building, government building, military building, agricultural building, parking and storage building, religious building, power station building, and transportation building.

3. The method of claim 1, further comprising:

comparing, by the processor, data generated by a first building automation system of a first category with data generated by a second building automation system of the first category, wherein the plurality of building automation systems comprises the first and second building automation systems.

4. The method of claim 3, further comprising:

identifying, by the processor, aggregate patterns of behavior based on the comparison of data generated by the first and second building automation systems.

5. The method of claim 4, further comprising:

identifying, by the processor, a range of normal behavior for the first category based on the identified aggregate patterns of behavior.

6. The method of claim 1, further comprising:

receiving, by the processor, data generated by a third building automation system, the data generated by the third building automation system comprising patterns of behavior identified by the third building automation system.

7. The method of claim 6, further comprising:

categorizing, by the processor, the third building automation system.

8. The method of claim 7, wherein categorizing the third building automation system comprises:

comparing the data generated by the third building automation system to aggregate patterns of behavior of one or more categories; and

matching the data generated by the third building automation system to aggregate patterns of behavior of at least one category.

9. The method of claim 7, further comprising:

upon categorizing the third building automation system in a second category, monitoring the third building automation system in relation to aggregate patterns of behavior of the second category; and

upon identifying an abnormal behavior, generating a notification.

10. The method of claim 9, further comprising:

upon categorizing the third building automation system in the second category, sending the identified aggregate patterns of behavior of the second category to the third building automation system to enable the third building automation system to detect the abnormal behavior based on analysis of data generated by the third building automation system in relation to the aggregate patterns of behavior of the second category.

11. A computing device configured for crowdsourcing automation system data, comprising:

a processor;

memory in electronic communication with the processor, wherein the memory stores computer executable instructions that when executed by the processor cause the processor to perform the steps of;

receiving data generated by a plurality of building automation systems, the data generated by the plurality of building automation systems comprising patterns of behavior identified by each of the plurality of building automation systems;

categorizing each of the plurality of building automation systems;

sorting each of the plurality of building automation systems by category; and

analyzing the data generated by the plurality of building automation systems according to the category of each building automation system.

12. The computing device of claim 11, wherein categories include residential building, educational building, commercial building, industrial building, medical care building, government building, military building, agricultural building, parking and storage building, religious building, power station building, and transportation building.

13. The computing device of claim 11, wherein the instructions executed by the processor cause the processor to perform the steps of:

comparing data generated by a first building automation system of a first category with data generated by a second building automation system of the first category, wherein the plurality of building automation systems comprises the first and second building automation systems.

14. The computing device of claim 13, wherein the instructions executed by the processor cause the processor to perform the steps of:

identifying, by the processor, aggregate patterns of behavior based on the comparison of data generated by the first and second building automation systems.

15. The computing device of claim 14, wherein the instructions executed by the processor cause the processor to perform the steps of:

identifying a range of normal behavior for the first category based on the identified aggregate patterns of behavior.

16. The computing device of claim 11, wherein the instructions executed by the processor cause the processor to perform the steps of:

receiving data generated by a third building automation system, the data generated by the third building automation system comprising patterns of behavior identified by the third building automation system.

17. The computing device of claim 16, wherein the instructions executed by the processor cause the processor to perform the steps of:

categorizing the third building automation system.

18. The computing device of claim 17, wherein the instructions executed by the processor cause the processor to perform the steps of:

upon categorizing the third building automation system in a second category, monitoring the third building automation system in relation to aggregate patterns of behavior of the second category; and

upon identifying an abnormal behavior, generating a notification.

19. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a processor cause the processor to perform the steps of:

receiving data generated by a plurality of building automation systems, the data generated by the plurality of building automation systems comprising patterns of behavior identified by each of the plurality of building automation systems;

categorizing each of the plurality of building automation systems;

sorting each of the plurality of building automation systems by category; and

analyzing the data generated by the plurality of building automation systems according to the category of each building automation system.

20. The computer-program product of claim 19, wherein categories include residential building, educational building, commercial building, industrial building, medical care building, government building, military building, agricultural building, parking and storage building, religious building, power station building, and transportation building.