Smart bulb system

• US 9,084,313 B2
• Filed: 02/15/2012
• Issued: 07/14/2015
• Est. Priority Date: 02/15/2012
• Status: Active Grant

• Current Assignee: Anycomm Corporation
• Original Assignee: Anycomm Corporation
• Inventors: Praske, Robert M., Rumbaugh, Stephen R., Hardesty, Grant E., Hamilton, Thomas A.
• Primary Examiner(s): PATEL, RAMESH B
• Application Number:
  US13/397,490
• Publication Number:
  US 20130211613A1
• Time in Patent Office: 1,245 Days
• Field of Search: 700 59- 60, 700/295, 700/297, 315291-297, 315307-311, 705/7.11, 705/7.35
• US Class Current: 1/1
• CPC Class Codes: H05B 47/19 via wireless transmission
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

A method and system for using smart bulbs is disclosed. One aspect of certain embodiments includes providing applications to both the consumer and the utility to monitor and control the bulbs and provide an audit trail.

Claims

1. A computer-implemented method for using a cloud-based smart bulb system with multiple parties for the purpose of operating, tracking, and reporting the function of the smart bulb system, the computer-implemented method comprising:

associating one or more smart bulbs of the smart bulb system with one or more consumers by entering consumer information and smart bulb information in a database;

allowing the one or more consumers associated with the smart bulb system to communicate with a remote back office server;

validating consumer information and smart bulb information based on information stored in the database associated with the remote back office server before the smart bulb is enabled;

wherein the remote back office server;

enables the one or more consumers to monitor and control smart bulbs associated with the consumer; and

enables the one or more consumers to communicate with one or more business entities associated with the smart bulb system.

2. The computer-implemented method of claim 1, further comprising storing consumer related information at the back office server and associated database.

3. The computer-implemented method of claim 2, wherein the consumer related information includes at least a subset of:

consumer ID, business channel ID, offer codes, information on promotional campaigns, type of smart meter wireless protocols, and rate schedules.

4. The computer-implemented method of claim 1, further comprising providing the consumer access to applications to control the smart bulbs associated with the consumer.

5. The computer-implemented method of claim 1, further comprising providing to the consumer power consumption information associated with the consumer'"'"'s smart bulbs.

6. The computer-implemented method of claim 1, further comprising providing to the consumer billing information associated with the consumer'"'"'s smart bulbs.

7. The computer-implemented method of claim 1, further comprising providing to the consumer information related to characteristics and functionality of the consumer'"'"'s smart bulbs.

8. The computer-implemented method of claim 1, further comprising enabling discovery of peripherals connected to a given smart bulb of the consumer.

9. The computer-implemented method of claim 8 further comprising enabling an agent to access and download current software to operate the peripheral.

10. The computer-implemented method of claim 1, further comprising enabling network topology identification including grouping and zoning of the consumer'"'"'s smart bulbs.

11. The computer-implemented method of claim 1, further comprising enabling determination and sharing of smart bulb configuration information among the consumer'"'"'s smart bulbs.

12. The computer-implemented method of claim 1, further comprising enabling one or more sensors on a given consumer'"'"'s smart bulb to report information on the smart bulb'"'"'s functions and conditions to the back office server.

13. The computer-implemented method of claim 12, wherein the information on the smart bulb'"'"'s functions and conditions include functional irregularities, bulb hue, bulb lumen, and bulb temperature.

14. The computer-implemented method of claim 1, further comprising providing the consumer access to applications to implement an emergency alert notification system using the smart bulbs associated with the consumer.

15. The computer-implemented method of claim 14, wherein the emergency alert notification system is personal to the consumer.

16. The computer-implemented method of claim 14, wherein the emergency alert notification system is part of a community wide alert system.

17. The computer-implemented method of claim 1, further comprising enabling multidimensional grouping of the consumer'"'"'s smart bulbs for programmatic control and monitoring of the consumer'"'"'s smart bulbs.

18. The computer-implemented method of claim 1, further comprising enabling illumination control of the consumer'"'"'s smart bulbs through a non-intrusive dimming control application.

19. The computer-implemented method of claim 1, further comprising enabling luminance or hue aging compensation of the consumer'"'"'s smart bulbs.

20. The computer-implemented method of claim 1, further comprising enabling external devices to be connected to a given smart bulb of the consumer.

21. The computer-implemented method of claim 20, further comprising supplying an auxiliary power to external devices connected to the given smart bulb of the consumer.

22. The computer-implemented method of claim 1 wherein at least one of the one or more business entities is a utility company.

23. A cloud-based smart bulb system for operating, tracking, and reporting the functionality of smart bulbs;

the system comprising;

one or more business entities;

a server and database associated with each of the one or more business entities;

one or more consumers who obtain one or more smart bulbs from the one or more business entities, wherein the one or more smart bulbs become associated with the one or more consumers by entering consumer information in the database;

a remote back office server, the remote back office server enabling the one or more consumers to monitor and control the one or more smart bulbs associated with the one or more consumers and further enabling the consumer to communicate with the one or more business entities;

a smart meter associated with the one or more smart bulbs that is associated with each of the one or more consumers, wherein the smart meter connects the one or more smart bulbs to an electrical grid and wherein the smart meter communicates with the back office server and the one or more business entities through a smart grid access point and a communication network; and

a database associated with the remote back office server.