IP Library Granted Patent US 10,539,938
Granted Patent B2
US 10,539,938 · App. 16/429,449 · Granted Jan 21, 2020

Method of smart scene management using big data pattern analysis

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Quick Facts
Patent No.
US 10,539,938
App. No.
16/429,449
Granted
Jan 21, 2020
Kind
B2
Abstract

An automation system including sensors that detect threats within a secured area, a plurality of prospective events defined within a memory of the automation system, each event including at least a physical change in an environment of the secured area, a time of execution of the physical change and a corresponding actuator that causes the physical change, a processor of the automation system that periodically activates the corresponding actuator at the time of each of the plurality of events, a processor that monitors each of the plurality of sensors for activation by an authorized human user and that saves a record of each activation to a cloud memory and a cloud processor that monitors the saved activation records of each sensor over a time period, determines a difference between the saved activations and the plurality of events and that modifies the plurality of events based upon the determined differences.

Claims (46)

1. A method comprising:

a processor retrieving respective data from each of a plurality of sensors within a secured area from a predetermined period of time;

the processor comparing the respective data from each of the plurality of sensors to a plurality of preconfigured static scenes for the secured area stored in a memory device; and

responsive to comparing the respective data from each of the plurality of sensors to the plurality of preconfigured static scenes, the processor identifying a modification to the plurality of preconfigured static scenes.

2. The method of claim 1 further comprising:

the processor identifying a set of user events associated with the plurality of preconfigured static scenes;

the processor identifying a consistent deviation between the respective data from at least one of the plurality of sensors and the set of user events; and

responsive to identifying the consistent deviation, the processor identifying the modification.

3. The method of claim 1 further comprising:

the processing identifying a set of user events associated with the plurality of preconfigured static scenes;

the processor identifying a repeating event associated with the respective data from at least one of the plurality of sensors that is inconsistent with the set of user events; and

responsive to identifying the repeating event, the processor identifying the modification.

4. The method of claim 1 further comprising:

the processor identifying a set of user events associated with the plurality of preconfigured static scenes;

the processor identifying a pattern associated with the respective data from at least one of the plurality of sensors;

the processor identifying a deviation between the pattern and the set of user events; and

responsive to the deviation, the processor identifying the modification.

5. The method of claim 1 further comprising:

the processor using the respective data from each of the plurality of sensors to identify a set of events unassociated with any of the plurality of preconfigured static scenes;

the processor using the respective data from each of the plurality of sensors to identify a set of desired actions unassociated with any of the plurality of preconfigured static scenes; and

the processor using the set of events and the set of desired actions to identify the modification.

6. The method of claim 1 further comprising:

the processor soliciting user confirmation for the modification; and

responsive to the user confirmation, the processor using the modification to modifying the plurality of preconfigured static scenes.

7. The method of claim 1 further comprising:

the processor using the modification to add a new static scene to the plurality of preconfigured static scenes.

8. The method of claim 1 further comprising:

the processor using the modification to delete or disable one of the plurality of preconfigured static scenes.

9. The method of claim 1 further comprising:

the processor using the modification to modify one of the plurality of preconfigured static scenes.

10. The method of claim 1 wherein each of the plurality of preconfigured static scenes is associated with activation of a respective set of actuators within the secured area at a respective time.

11. A system comprising:

a processor in communication with a plurality of sensors within a secured area; and

a memory device in communication with the processor,

wherein the processor retrieves respective data from each of the plurality of sensors from a predetermined period of time,

wherein the processor compares the respective data from each of the plurality of sensors to a plurality of preconfigured static scenes for the secured area stored in the memory device, and

wherein, responsive to comparing the respective data from each of the plurality of sensors to the plurality of preconfigured static scenes, the processor identifies a modification to the plurality of preconfigured static scenes.

12. The system of claim 11 wherein the processor identifies a set of user events associated with the plurality of preconfigured static scenes, identifies a consistent deviation between the respective data from at least one of the plurality of sensors and the set of user events, and responsive to identifying the consistent deviation, identifies the modification.

13. The system of claim 11 wherein the processing identifies a set of user events associated with the plurality of preconfigured static scenes, identifies a repeating event associated with the respective data from at least one of the plurality of sensors that is inconsistent with the set of user events, and responsive to identifying the repeating event, identifies the modification.

14. The system of claim 11 wherein the processor identifies a set of user events associated with the plurality of preconfigured static scenes, identifies a pattern associated with the respective data from at least one of the plurality of sensors, identifies a deviation between the pattern and the set of user events, and responsive to the deviation identifies the modification.

15. The system of claim 11 wherein the processor uses the respective data from each of the plurality of sensors to identify a set of events unassociated with any of the plurality of preconfigured static scenes, uses the respective data from each of the plurality of sensors to identify a set of desired actions unassociated with any of the plurality of preconfigured static scenes, and uses the set of events and the set of desired actions to identify the modification.

16. The system of claim 11 wherein the processor solicits user confirmation for the modification and, responsive to the user confirmation, uses the modification to modifying the plurality of preconfigured static scenes.

17. The system of claim 11 wherein the processor uses the modification to add a new static scene to the plurality of preconfigured static scenes.

18. The system of claim 11 wherein the processor uses the modification to delete or disable one of the plurality of preconfigured static scenes.

19. The system of claim 11 wherein the processor uses the modification to modify one of the plurality of preconfigured static scenes.

20. The system of claim 11 wherein each of the plurality of preconfigured static scenes is associated with activation of a respective set of actuators within the secured area at a respective time.

Assignments (4)
CHANGE OF NAME Recorded Jun 12, 2025
From: ADEMCO INC.
To: RESIDEO LLC
Reel/Frame 071546/0001 →
SECURITY INTEREST Recorded Feb 16, 2021
From: ADEMCO INC.; RSI VIDEO TECHNOLOGIES, LLC
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 055313/0715 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 3, 2019
From: HONEYWELL INTERNATIONAL INC.
To: ADEMCO INC.
Reel/Frame 049348/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 3, 2019
From: GANESAN, BALAMURUGAN; DIVAKARA, MANJUNATHA; M, SHANMUGA PRABHU
To: HONEYWELL INTERNATIONAL INC.
Reel/Frame 049346/0581 →