SYSTEMS AND APPARATUS FOR AUTOMATICALLY DERIVING AND MODIFYING PERSONAL PREFERENCES APPLICABLE TO MULTIPLE CONTROLLABLE LIGHTING NETWORKS

• US 20120169249A1
• Filed: 05/18/2010
• Published: 07/05/2012
• Est. Priority Date: 06/09/2009
• Status: Active Grant

• Current Assignee: Signify Holding B.V. (Signify N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Loveland, Damien, Ashdown, Ian, Vermuelen, A. J. W. A, Ketelaars, Louis
• Granted Patent: US 9,814,117 B2
• Time in Patent Office: Days
• US Class Current: 315/291
• CPC Class Codes: H05B 47/175 by remote control
• CPC Class Codes: H05B 47/19 via wireless transmission
• CPC Class Codes: H05B 47/1965 using handheld communication devices
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

Systems and methods for deriving and modifying personal preferences related to at least one controllable lighting network are disclosed. The systems include a processor that can be used in conjunction with a personal communication device and a preferences database. The processor is used to detect an identifier for a user, a plurality of adjustments to the at least one controllable lighting network requested by the user, and a context corresponding to each of the plurality of adjustments. The processor in some such systems has an associated local memory to store the plurality of adjustments, corresponding contexts, and the identifier of the associated user. The processor is further used to analyze the plurality of lighting adjustments and the corresponding contexts. Based on the analysis, the processor identifies a correlation between the plurality of adjustments and the contexts, and create at least one personal preference rule associated with the user identifier based on the correlation. The preferences database in some such systems is used to store the rules and the plurality of adjustments.

Claims

1. A system for deriving personal preferences related to at least one controllable lighting network, the system comprising:

at least one processor configured to execute an awareness module and an inference engine,

wherein the awareness module detects an identifier for a user, a plurality of adjustments to the at least one controllable lighting network requested by the user, and a context corresponding to each of the plurality of adjustments, and

wherein the inference engine analyzes the plurality of adjustments and the corresponding contexts to identify a correlation between the plurality of adjustments and the contexts, and creates at least one personal preference rule associated with the identifier of the associated user based on the identified correlation; and

a memory configured to store the plurality of adjustments and the corresponding contexts, and the identifier of the associated user.

2. The system of claim 1, wherein the processor is further configured to execute an executive module that generates a control signal directed to the at least one controllable lighting network based on the plurality of adjustments to the at least one controllable lighting network.

3. The system of claim 1, wherein the processor is further configured to execute an executive module that generates a control signal directed to the at least one controllable lighting network based on the at least one personal preference rule.

4. The system of claim 1, further comprising a preferences database configured to store the at least one personal preference rule, the plurality of adjustments, the corresponding contexts, and the identifier of the associated user.

5. The system of claim 1, wherein the processor is further configured to request the at least one personal preference rule from a preferences database after the awareness module detects the identifier for the user.

6. A system for applying personal preferences related to at least one controllable lighting network, the system comprising:

at least one processor configured to execute an awareness module and an executive module,

wherein the awareness module detects an identifier for a user and a user context, and

wherein the executive module requests from a preferences database a personal preference rule associated with the identifier of the user and based on a correlation between a plurality of adjustments to at least one controllable lighting network requested by the user and the corresponding user contexts, and generates a control signal directed to the at least one controllable lighting network based on the personal preference rule.

7. The system of claim 6, wherein the plurality of adjustments were requested by the user with respect to a first controllable lighting network and the control signal is directed to a second controllable lighting network.

8. The system of claim 6, wherein the plurality of adjustments were requested by the user with respect to a first controllable lighting network and a second controllable lighting network and the control signal is directed to a third controllable lighting network.

9. The system of claim 6, wherein the executive module further requests a plurality of adjustments associated with the identifier of the user from the preferences database and generates a control signal directed to the at least one controllable lighting network based on plurality of adjustments associated with the identifier, and wherein the preferences database is further configured to store the plurality of adjustments in association with the user identifier.

10. The system of claim 6, wherein the awareness module further detects at least one adjustment to at least one controllable lighting network requested by the user and the corresponding user contexts, the system further comprising:

a memory configured to store the at least one adjustment and the corresponding user contexts, and the identifier of the associated user.

11. The system of claim 6, wherein the personal preference rule includes a likelihood value.

12. The system of claim 6, further comprising a preferences database configured to store the personal preference rule in association with the identifier of the user.

13. A system for modifying personal preferences related to at least one controllable lighting network, the system comprising:

a preferences database configured to store a plurality of personal preference rules and a plurality of sets of data related to the at least one controllable lighting network,

a first personal preference rule being associated with a first user identifier, created based on a correlation between a plurality of adjustments to the at least one controllable lighting network requested by a first user and corresponding contexts, and having a first likelihood value, the plurality of adjustments to the at least one controllable lighting network requested by the first user and corresponding contexts comprising a first set of data; and

a second personal preference rule being associated with a second user identifier, created based on a correlation between a plurality of adjustments to the at least one controllable lighting network requested by a second user and corresponding contexts, and having a second likelihood value, the plurality of adjustments to the at least one controllable lighting network requested by the second user and corresponding contexts comprising a second set of data; and

at least one processor configured to retrieve the first personal preference rule and the first set of data from the preferences database, to retrieve the second set of data from the preferences database, to compare the first set of data with the second set of data, and to adjust the likelihood value of the first personal preference rule based on the comparison.

14. The system of claim 13, wherein the first set of data further comprises at least one vote indicating a lighting preference of the first user and the second set of data further comprises at least one vote indicating a lighting preference of the second user.

15. The system of claim 14, wherein the executive module further generates a control signal directed to solicit at least one vote indicating a lighting preference.

16. A method for deriving personal preferences related to a controllable lighting network comprising at least one memory for storing data and instructions, a user interface, a lighting source, at least one processor configured to execute the instructions from distinct software modules;

wherein the distinct software modules comprise an awareness module, an executive module, and an inference engine; and

wherein the distinct software modules are located in the at least one memory and, when executing the instructions, to perform computer-implemented steps of;

detecting by the awareness module a user identifier and a plurality of adjustments to at least one controllable lighting network requested by a user;

identifying by the awareness module a context for each of the plurality of adjustments;

analyzing by the inference engine the plurality of adjustments and the contexts for the plurality of adjustments to identify a correlation between the plurality of adjustments and the contexts;

creating by the inference engine at least one personal preference rule based on the identified correlation; and

storing the at least one personal preference rule in a preferences database with the user identifier, the at least one personal preference rule being associated with the user identifier.

17. The method of claim 16, further comprising:

transmitting by the awareness module to the executive module a signal corresponding to the adjustments; and

implementing by the executive module the adjustments in the controllable lighting network based on the signal.

18. The method of claim 16, further comprising directing the at least one memory to store the adjustments and the contexts for the plurality of adjustments by the executive module.

19. The method of claim 16, wherein the contexts for the plurality of adjustments comprise identification of a schema, settings prior to change by the adjustments, amount of the change, time, position, activity of the user, temperature, and humidity.

20. A method for modifying a personal preference in a controllable lighting network comprising at least one memory for storing data and instructions, a user interface, a lighting source, at least one processor configured to execute the instructions from distinct software modules;

wherein the distinct software modules comprise an awareness module, an executive module, and an inference engine; and

wherein the distinct software modules are located in the at least one memory and, when executing the instructions, to perform computer-implemented steps of;

identifying a personal preference rule and a first set of criteria for a first user, the personal preference rule having a likelihood value and created based on a correlation between a plurality of adjustments to the controllable lighting network requested by the user, and contexts for the plurality of adjustments;

identifying a second set of criteria for at least one second user;

comparing the first set of criteria with the second set of criteria;

adjusting the likelihood value of the personal preference rule based on the comparison; and

storing the personal preference rule in a preferences database with the user identifier.

21. The method of claim 20, further comprising receiving at least one vote for the personal preference of the first user based on the comparison from the at least one second user.

22. The method of claim 21, further comprising adjusting the likelihood value of the personal preference rule based on the at least one vote.

23. The method of claim 21, wherein the personal rule with the adjusted likelihood value is stored in a preferences database.