USER ACTIVITY-BASED MODE CREATION IN AN AUTOMATION SYSTEM

• US 20140324192A1
• Filed: 04/30/2013
• Published: 10/30/2014
• Est. Priority Date: 04/30/2013
• Status: Abandoned Application

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Baskaran, Arjun, Ganesan, Raja Sundaram
• Application Number:
  US13/873,552
• Publication Number:
  US 20140324192A1
• Time in Patent Office: Days
• US Class Current: 700/19
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/25056 Automatic configuration of monitoring, control system as function of operator input, events
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house

Abstract

Method, device, and storage medium for receiving a request to change a state of one or multiple elements of an automation system; changing the state of the one or multiple elements based on the request; storing usage activity data of the one or multiple elements; analyzing the usage activity data using a pattern recognition metric; determining whether a usage pattern exits based on the pattern recognition metric; creating a user activity mode in response to determining that the usage pattern exists; and operating the automation system in accordance with the user activity mode.

Claims

1. A method comprising:

receiving a request to change a state of one or multiple elements of an automation system;

changing the state of the one or multiple elements based on the request;

storing usage activity data of the one or multiple elements;

analyzing the usage activity data using a pattern recognition metric;

determining whether a usage pattern exits based on the pattern recognition metric;

creating a user activity mode in response to determining that the usage pattern exists; and

operating the automation system in accordance with the user activity mode.

2. The method of claim 1, wherein the automation system includes a home automation system, and wherein the usage activity data includes state data indicating one or more states over time of the one or multiple elements, and wherein the analyzing comprises:

analyzing the state data using the pattern recognition metric.

3. The method of claim 1, wherein the automation system includes an on-demand mode, a scheduled mode, and a triggering mode.

4. The method of claim 1, wherein the pattern recognition metric includes at least one of frequency-over-time period value or a duration of a state over a time period value, and the method further comprising:

alerting a user of the automation system that the usage pattern exists.

5. The method of claim 1, wherein the one or multiple elements include one or more of a video camera, an appliance switch, a door lock, a motion detector, a sensor, or a thermostat, and the method further comprises:

omitting to create the user activity mode in response to determining that the usage pattern does not exist.

6. The method of claim 1, further comprising:

receiving a user request to modify the user activity mode; and

modifying the user activity mode based on the user request.

7. The method of claim 1, further comprising:

automatically updating the user activity mode and an operation of at least one of the one or multiple elements based on a parameter that accounts for a daily change in relation to a season.

8. A system comprising:

a transceiver;

a memory, wherein the memory stores instructions;

a processor, wherein the processor executes the instructions to;

receive a request to change a state of one or multiple elements of an automation system;

change the state of the one or multiple elements based on the request;

store usage activity data pertaining to an operation of the one or multiple elements;

analyze the usage activity data using a pattern recognition metric;

determine whether a usage pattern exits based on the pattern recognition metric;

create a user activity mode in response to a determination that the usage pattern exists; and

control the operation of the one or multiple elements in accordance with the user activity mode.

9. The system of claim 8, wherein the system comprises a control device of a home automation system, and wherein the usage activity data includes state data indicating one or more states over time of the one or multiple elements, and wherein when analyzing, the processor executes the instructions to:

analyze the state data using the pattern recognition metric.

10. The system of claim 8, wherein the system operates according to an on-demand mode, a scheduled mode, and a triggering mode.

11. The system of claim 8, wherein the one or multiple elements include one or more of a video camera, an appliance switch, a door lock, a motion detector, a sensor, or a thermostat, and the processor executes the instructions to:

omit to create the user activity mode in response to determining that the usage pattern does not exist.

12. The system of claim 9, wherein the processor executes the instructions to:

receive a user request to modify the user activity mode; and

modify the user activity mode based on the user request.

13. The system of claim 9, wherein the processor executes the instructions to:

automatically update the user activity mode based on a parameter that accounts for a daily change in relation to a season; and

automatically update the user activity mode based on user behavior when the system operates in the user activity mode, wherein the user behavior indicates negative reinforcement of a configuration directed towards at least one of the one or multiple controllable elements.

14. A method comprising:

obtaining usage activity data pertaining to an operation of multiple automation systems, wherein each automation system includes one or multiple controllable elements;

storing the usage activity data;

analyzing the usage activity data using a pattern recognition metric;

determining whether a usage pattern exits based on the pattern recognition metric;

creating a user activity mode in response to determining that the usage pattern exists, wherein the creating includes generating configuration setting data; and

providing the automation systems with the configuration setting data.

15. The method of claim 14, wherein the pattern recognition metric includes a frequency-over-time period metric, a number of automation systems metric, and a location of multiple automation systems metric.

16. The method of claim 14, wherein the user activity mode is directed to one or more categories, wherein the one or more categories include one or more of a season category, a weekday category, a weekend category, a location category, or a time category.

17. The method of claim 14, further comprising:

automatically updating the user activity mode and an operation of at least one of the one or multiple elements based on a parameter that accounts for a daily change in relation to a season.

18. The method of claim 14, further comprising:

receiving a user preference that indicates whether to average times, select the earliest time, or select a time closest to a predefined increment, wherein the user preference is used to generate the configuration setting data.

19. A non-transitory storage medium storing instructions executable by a computational device, wherein the instructions comprise instructions to:

receive a request to change a state of one or multiple elements of an automation system;

change the state of the one or multiple elements based on the request;

store usage activity data pertaining to an operation of the one or multiple elements;

analyze the usage activity data using a pattern recognition metric;

determine whether a usage pattern exits based on the pattern recognition metric;

create a user activity mode in response to a determination that the usage pattern exists; and

control the operation of the one or multiple elements in accordance with the user activity mode.

20. The non-transitory storage medium of claim 19, wherein the instructions comprise further instructions to:

cause the one or multiple elements to operate according to an on-demand mode, a scheduled mode, and a triggering mode.

21. The non-transitory storage medium of claim 19, wherein the instructions comprise further instructions to:

automatically update the user activity mode based on a time parameter that accounts for a daily change in relation to a season; and

automatically update the user activity mode based on user behavior when the system operates in the user activity mode, wherein the user behavior indicates negative reinforcement of a configuration directed towards at least one of the one or multiple controllable elements.

22. The non-transitory storage medium of claim 19, wherein the instructions comprise further instructions to:

receive a user preference that indicates to omit at least one of the multiple elements or a time period of operation of the one or multiple elements when analyzing the usage activity data.