PERSONALIZED AMBIENT TEMPERATURE MANAGEMENT

• US 20160047565A1
• Filed: 08/14/2014
• Published: 02/18/2016
• Est. Priority Date: 08/14/2014
• Status: Active Grant

• Current Assignee: EchoStar Technologies International Corporation (Echostar Corporation)
• Original Assignee: Echostar UK Holdings Ltd (Echostar Corporation)
• Inventors: Robinson, David
• Granted Patent: US 9,900,173 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/64 using pre-stored data
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: F24F 2120/12 Position of occupants
• CPC Class Codes: F24F 2140/00 Control inputs relating to system states
• CPC Class Codes: G05B 15/00 Systems controlled by a computer G05B13/00, G05B19/00 take precedence; automatic controllers with particular characteristics G05B11/00
• CPC Class Codes: G05D 23/1902 characterised by the use of a variable reference value
• CPC Class Codes: G05D 23/1928 sensing the temperature of one space
• CPC Class Codes: H04L 12/2803 Home automation networks

Abstract

Systems, methods, and apparatus for automation control for personalized ambient temperature management are disclosed. First input corresponding to a first set of sensors may be processed. A location of a first occupant of a home may be determined based on the first input. Second input corresponding to a second set of sensors may be processed. A first temperature in the location may be determined based on the second input corresponding to the second set of one or more sensors. A first state of the first occupant in the location may be determined based on third input corresponding to the first set of sensors or corresponding to a third set of sensors. An adjustment may be determined based on the location, the first temperature, and the first state of the first occupant. One or more components of the home may be caused to adjust based on the adjustment.

Claims

1. A method for automation control for personalized ambient temperature management, the method comprising:

processing, by a control device, first input corresponding to a first set of one or more sensors communicatively coupled to the control device;

determining, by the control device, a location of a first occupant of a home based at least in part on the first input corresponding to the first set of one or more sensors;

processing, by the control device, second input corresponding to a second set of one or more sensors communicatively coupled to the control device;

determining, by the control device, a first temperature in the location based at least in part on the second input corresponding to the second set of one or more sensors;

determining, by the control device, a first state of the first occupant in the location based at least in part on third input corresponding to the first set of one or more sensors or corresponding to a third set of one or more sensors;

determining, by the control device, an adjustment based at least in part on the location, the first temperature, and the first state of the first occupant; and

causing, by the control device, one or more components of the home to adjust based at least in part on the adjustment.

2. The method for automation control for personalized ambient temperature management of claim 1, wherein the first state of the first occupant corresponds to remaining in the location for a time period and the method further comprises:

determining, by the control device, that the time period satisfies a first threshold;

wherein the causing the one or more components of the home to adjust is contingent on the threshold being satisfied.

3. The method for automation control for personalized ambient temperature management of claim 1, further comprising:

identifying, by the control device, one or more preferences associated with the first occupant;

wherein the adjustment is determined to meet user constraints based at least in part on the one or more preferences.

4. The method for automation control for personalized ambient temperature management of claim 1, further comprising:

identifying, by the control device, a presence of a second occupant of the home;

wherein the determining of the adjustment is based in part on the presence of the second occupant and a set of rules for multi-occupant situations.

5. The method for automation control for personalized ambient temperature management of claim 4, further comprising:

causing, by the control device, presentation of one or more user-selection options via one or more notification interfaces; and

processing, by the control device, one or more user selections corresponding to the one or more user-selection options;

wherein the determining of the adjustment is based in part on the one or more user selections.

6. The method for automation control for personalized ambient temperature management of claim 5, wherein a plurality of user selections are processed, the plurality of user selections corresponding to votes from a plurality of occupants comprising the first occupant and the second occupant, the method further comprising:

determining, by the control device, a compromise based at least in part on the votes;

wherein the determining of the adjustment is based in part on the compromise.

7. The method for automation control for personalized ambient temperature management of claim 1, further comprising:

determining, by the control device, one or more outdoor conditions;

wherein the determining of the adjustment is based in part on the one or more outdoor conditions.

8. The method for automation control for personalized ambient temperature management of claim 1, wherein the first state of the first occupant in the location comprises a proximity to a heat source or a heat sink.

9. A system for automation control for personalized ambient temperature management, the system comprising:

a control device configured to communicatively couple to a first set of one or more sensors, a second set of one or more sensors, and one or more components of a home, the control device comprising;

one or more processors; and

a memory communicatively coupled with and readable by the one or more processors and having stored therein processor-readable instructions which, when executed by the one or more processors, cause the one or more processors to;

process first input corresponding to the first set of one or more sensors communicatively coupled to the control device;

determine a location of a first occupant of a home based at least in part on the first input corresponding to the first set of one or more sensors;

process second input corresponding to the second set of one or more sensors communicatively coupled to the control device;

determine a first temperature in the location based at least in part on the second input corresponding to the second set of one or more sensors;

determine a first state of the first occupant in the location based at least in part on third input corresponding to the first set of one or more sensors or corresponding to a third set of one or more sensors;

determine an adjustment based at least in part on the location, the first temperature, and the first state of the first occupant; and

cause at least one component of the one or more components of the home to adjust based at least in part on the adjustment.

10. The system for automation control for personalized ambient temperature management of claim 9, wherein the first state of the first occupant corresponds to remaining in the location for a time period and the instructions further cause the one or more processors to:

determine that the time period satisfies a first threshold;

wherein the causing the one or more components of the home to adjust is contingent on the threshold being satisfied.

11. The system for automation control for personalized ambient temperature management of claim 9, wherein the instructions further cause the one or more processors to:

identify one or more preferences associated with the first occupant;

wherein the adjustment is determined to meet user constraints based at least in part on the one or more preferences.

12. The system for automation control for personalized ambient temperature management of claim 9, wherein the instructions further cause the one or more processors to:

identify a presence of a second occupant of the home;

wherein the determining of the adjustment is based in part on the presence of the second occupant and a set of rules for multi-occupant situations.

13. The system for automation control for personalized ambient temperature management of claim 12, wherein the instructions further cause the one or more processors to:

cause presentation of one or more user-selection options via one or more notification interfaces; and

process one or more user selections corresponding to the one or more user-selection options;

wherein the determining of the adjustment is based in part on the one or more user selections.

14. The system for automation control for personalized ambient temperature management of claim 9, wherein the instructions further cause the one or more processors to:

determine one or more outdoor conditions;

wherein the determining of the adjustment is based in part on the one or more outdoor conditions.

15. The system for automation control for personalized ambient temperature management of claim 9, wherein the first state of the first occupant in the location comprises a proximity to a heat source or a heat sink.

16. One or more non-transitory, machine-readable media having machine-readable instructions thereon which, when executed by one or more processing devices, facilitates automation control for personalized ambient temperature management, causing the one or more processing devices to:

process first input corresponding to a first set of one or more sensors;

determine a location of a first occupant of a home based at least in part on the first input corresponding to the first set of one or more sensors;

process second input corresponding to a second set of one or more sensors;

determine a first temperature in the location based at least in part on the second input corresponding to the second set of one or more sensors;

determine a first state of the first occupant in the location based at least in part on third input corresponding to the first set of one or more sensors or corresponding to a third set of one or more sensors;

determine an adjustment based at least in part on the location, the first temperature, and the first state of the first occupant; and

cause one or more components of the home to adjust based at least in part on the adjustment.

17. The one or more non-transitory, machine-readable media of claim 16, wherein the first state of the first occupant corresponds to remaining in the location for a time period and the instructions further cause the one or more processing devices to:

determine that the time period satisfies a first threshold;

wherein the causing the one or more components of the home to adjust is contingent on the threshold being satisfied.

18. The one or more non-transitory, machine-readable media of claim 16, wherein the instructions further cause the one or more processing devices to:

identify one or more preferences associated with the first occupant;

wherein the adjustment is determined to meet user constraints based at least in part on the one or more preferences.

19. The one or more non-transitory, machine-readable media of claim 16, wherein the instructions further cause the one or more processing devices to:

identify a presence of a second occupant of the home;

wherein the determining of the adjustment is based in part on the presence of the second occupant and a set of rules for multi-occupant situations.

20. The one or more non-transitory, machine-readable media of claim 19, wherein the instructions further cause the one or more processing devices to:

cause presentation of one or more user-selection options via one or more notification interfaces; and

process one or more user selections corresponding to the one or more user-selection options;

wherein the determining of the adjustment is based in part on the one or more user selections.