HVAC schedule establishment in an intelligent, network-connected thermostat

• US 9,256,230 B2
• Filed: 03/15/2013
• Issued: 02/09/2016
• Est. Priority Date: 11/19/2010
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Matsuoka, Yoky, Fadell, Anthony M., Sloo, David, Hales, Steven A., Stefanski, Mark D., Sharan, Rangoli, Rogers, Matthey L., Lee, Eric A.
• Primary Examiner(s): Bahta, Kidest
• Application Number:
  US13/842,048
• Publication Number:
  US 20140058567A1
• Time in Patent Office: 1,061 Days
• Field of Search: 700/83, 700/276, 700/27, 700/17, 700/82, 700/7, 700/278, 236/1.C, 236/94, 236/51, 236/18
• 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 11/52 Indication arrangements, e.g. displays
• CPC Class Codes: F24F 11/526 giving audible indications
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/59 for presetting
• CPC Class Codes: F24F 11/61 using timers
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/64 using pre-stored data
• CPC Class Codes: F24F 11/65 for selecting an operating mode
• CPC Class Codes: F24F 2110/00 Control inputs relating to air properties
• CPC Class Codes: F24F 2120/20 Feedback from users
• CPC Class Codes: G01R 22/10 using digital techniques
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 19/0423 Input/output
• CPC Class Codes: G05B 19/106 for selecting a programme, variable or parameter
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05D 23/1904 variable in time
• CPC Class Codes: G05D 23/1917 using digital means
• CPC Class Codes: H04L 12/2825 Reporting to a device located outside the home and the home network access arrangements H04L12/2856; for remote control or remote monitoring of applications H04L67/025; telephonic communication systems adapted for combination with telemetering systems H04M11/002
• CPC Class Codes: H04L 12/40013 : Details regarding a bus controller
• CPC Class Codes: H04L 2012/285 : Generic home appliances, e.g. refrigerators

Abstract

HVAC schedules may be programmed for a thermostat using a combination of pre-existing schedules or templates and automated schedule learning. For example, a pre-existing schedule may be initiated on the thermostat and the automated schedule learning may be used to update the pre-existing schedule based on users'"'"' interactions with the thermostat. The preexisting HVAC schedules may be stored on a device or received from a social networking service or another online service that includes shared HVAC schedules.

Claims

1. A computer-implemented method for programming an HVAC schedule for a thermostat, comprising:

generating, by a computerized system, one or more input options on a schedule interface, wherein the one or more input options correspond to one or more questions posed to a user;

receiving, by the computerized system, input corresponding to one or more responses to the one or more input options, wherein the input is received at the schedule interface;

selecting, by the computerized system, an HVAC schedule with which to initialize the thermostat from a plurality of template HVAC schedules stored on the thermostat, wherein;

the selection of the template HVAC schedule is based on the received input,

the template HVAC schedule is associated with a defined user type category corresponding to the one or more responses to the one or more questions, and

the template HVAC schedule includes a set of time intervals and a set of pre-defined temperature settings that are based on the defined user type category;

associating, by the computerized system, the thermostat with the selected HVAC schedule, wherein associating includes initiating the selected HVAC schedule on the thermostat for a first time period;

receiving, during the first time period subsequent to the association, input of one or more real-time user setpoints that each indicate a setpoint temperature, wherein;

each setpoint temperature is effectuated immediately by the thermostat upon reception of the corresponding real-time user setpoint of the one or more real-time user setpoints; and

the input corresponding to the one or more real-time user setpoints is received on a control interface;

generating an updated HVAC schedule for the first time period based at least in part on the selected HVAC schedule and the one or more real-time user setpoints, said generating comprising;

processing the received one or more real-time user setpoints together with one or more times at which the one or more real-time user setpoints were made to compute one or more candidate setpoints representative of user-desired temperatures and associated setpoint times for future instances of said first time period; and

mutually filtering the one or more candidate setpoints with the selected HVAC schedule according to a predetermined filtering algorithm to generate the updated schedule; and

associating the thermostat with the updated HVAC schedule, wherein associating includes initiating the updated HVAC schedule on the thermostat for the first time period.

2. The computer-implemented method of claim 1, wherein the schedule interface is a web-based interface or provided at a display of the thermostat.

3. The computer-implemented method of claim 1, wherein the one or more input options are visually or audibly generated.

4. The computer-implemented method of claim 1, wherein the received input is an audio input.

5. The computer-implemented method of claim 1, wherein the plurality of template HVAC schedules is stored on a server accessible by the thermostat.

6. The computer-implemented method of claim 1, wherein the received input can correspond to one or more of a plurality of template schedule paradigms, and wherein the plurality of template schedule paradigms correspond to one or more of the template HVAC schedules stored on the thermostat.

7. The computer-implemented method of claim 6, wherein the inquiries include one or more of the following:

“

Do children live at this residence?”

, “

Tell me about yourself”

, and “

Is this business open on the weekends?”

.

8. The computer-implemented method of claim 6, wherein the defined user type category includes one or more of the following:

working couple without kids, working spouse with stay-at-home spouse, young people with active nightlife who work from home, office building, and businesses open only on the weekdays.

9. The computer-implemented method of claim 6, wherein one or more of the input options is generated based on at least one of the one or more responses.

10. The computer-implemented method of claim 6, wherein the plurality of template HVAC schedules includes a null HVAC schedule, and wherein the null HVAC schedule is the selected HVAC schedule when the received input does not correspond to one or more of the plurality of template schedule paradigms.

11. The computer-implemented method of claim 1, further comprising:

associating the thermostat with the selected HVAC schedule, wherein associating includes initiating the selected HVAC schedule on the thermostat for a second time period;

receiving, during the second time period subsequent to the association, further input corresponding to one or more additional temperature control selections, wherein the further input is received on a control interface;

generating an updated HVAC schedule for the second time period based at least in part on the selected HVAC schedule and the one or more real-time user setpoints of the first time period, and the one or more additional temperature control selections of the second time period; and

associating the thermostat with the updated HVAC schedule, wherein associating includes initiating the updated HVAC schedule on the thermostat for the second time period.

12. The computer-implemented method of claim 1, wherein generating the updated HVAC schedule based on the selected HVAC schedule and the one or more real-time user setpoints further comprises:

processing the received one or more real-time user setpoints to detect one or more intended new temperature selections, the detected one or more real-time user setpoints correspond to one of the time intervals;

replicating the detected one or more intended new temperature selections throughout the corresponding time intervals;

overlaying the replicated one or more intended new temperature selections and the detected one or more intended new temperature selections onto the selected HVAC schedule; and

mutually filtering the overlayed new temperature selections and temperature selections of the selected HVAC schedule to generate the updated schedule.

13. The computer-implemented method of claim 12, wherein processing the received one or more real-time user setpoints to detect the one or more new temperature selections for the time period comprises:

clustering temperature control selections of the received one or more real-time user setpoints into clusters, wherein each of the clusters corresponds to a temperature selection at a point in time within one of the time intervals, wherein each of the received one or more real-time user setpoints correspond to a point in time, and wherein the received one or more real-time user setpoints that occur at nearby points in time are clustered into the same cluster;

harmonizing the one or more real-time user setpoints of each of the one or more of the clusters according to predetermined harmonization rules to generate single candidate temperature selections representative of each one of the clusters;

comparing one or more of the single candidate temperature selections to others of the single candidate temperature selections that correspond to similar points of time within the times intervals to detect patterns of similar candidates over multiple time intervals; and

establishing one or more of the single candidate temperature selections as one or more of the one or more intended new temperature selections if a pattern-establishing threshold of a number of similar candidates is met.

14. The computer-implemented method of claim 13, wherein generating the updated HVAC schedule based on the selected HVAC schedule and the one or more real-time temperature control selections is characterized by one or more of aggressive and steady state learning phases, the pattern-establishing threshold of the steady state learning phase being larger than the pattern-establishing threshold of the aggressive state learning phase, wherein, if the null schedule is the selected HVAC schedule, the aggressive state learning phase is applied before the steady state learning phase is applied, and wherein, if the null schedule is not the selected HVAC schedule, only the steady state learning phase is applied.

24. The computer-implemented method of claim 1, wherein the computerized system is part of the thermostat.

15. A computer-implemented method for programming an HVAC schedule for a thermostat, comprising:

receiving, by a computer system, input corresponding to a selection of a pre-existing HVAC schedule, wherein the pre-existing HVAC schedule was shared on a social networking service,

associating, by a computer system, the thermostat with the selected pre-existing HVAC schedule, wherein associating includes initiating the selected pre-existing HVAC schedule on the thermostat for a first time period;

receiving, during a time period subsequent to the association, input of one or more real-time user setpoints that each indicate a setpoint temperature, wherein;

each setpoint temperature is effectuated immediately by the thermostat upon reception of the corresponding real-time user setpoint of the one or more real-time user setpoints; and

the input is received on a control interface;

generating an updated HVAC schedule based on the selected pre-existing HVAC schedule and the one or more real-time user setpoints wherein generating the updated HVAC schedule based on the selected pre-existing HVAC schedule and the one or more real-time user setpoints comprises;

processing the received one or more real-time user setpoints together with one or more times at which said temperature control selections were made to compute one or more candidate setpoints representative of user-desired temperatures and associated setpoint times for future instances of said first time period; and

mutually filtering said one or more candidate setpoints with said selected HVAC schedule according to a predetermined filtering algorithm to generate the updated schedule; and

associating, by the computer system, the thermostat with the updated HVAC schedule, wherein associating includes initiating the updated HVAC schedule on the thermostat.

16. The computer-implemented method of claim 15, wherein the selection of the pre-existing HVAC schedule is based on one or more of the following:

a social profile corresponding to the pre-existing HVAC, a location where the pre-existing HVAC schedule was generated, one or more responses to one or more input options, and a metric of efficiency corresponding to the pre-existing HVAC schedule.

17. The computer-implemented method of claim 15, wherein the selected pre-existing HVAC schedule was included on a list of recommended pre-existing HVAC schedules, and wherein the list of recommended pre-existing HVAC schedules was generated based on one or more of the following:

a social profile corresponding to the pre-existing HVAC, a location where the pre-existing HVAC schedule was generated, one or more responses to one or more input options, and a metric of efficiency corresponding to the pre-existing HVAC schedule.

18. The computer-implemented method of claim 15, social networking service is an online gaming service.

19. The computer-implemented method of claim 15, further including sharing the updated HVAC schedule on a social network service.

20. The computer-implemented method of claim 15, wherein the selected pre-existing HVAC schedule includes time intervals with temperature selections corresponding to each of the time intervals.

21. The computer-implemented method of claim 20, wherein generating the updated HVAC schedule based on the selected pre-existing HVAC schedule and the one or more real-time user setpoints comprises:

detecting one or more intended new temperature selections from the received one or more real-time user setpoints, the detected one or more intended new temperature selections corresponding to one of the time intervals;

replicating the detected one or more intended new temperature selections throughout the corresponding time intervals;

overlaying the replicated one or more intended new temperature selections and the detected one or more intended new temperature selections onto the selected pre-existing HVAC schedule; and

mutually filtering the overlayed new temperature selections and temperature selections of the selected pre-existing HVAC schedule according to generate the updated schedule.

22. The computer-implemented method of claim 21, wherein processing the received one or more real-time user setpoints to detect the one or more new temperature selections for the time period comprises:

clustering temperature control selections of the received one or more real-time user setpoints into clusters, wherein each of the clusters corresponds to a temperature selection at a point in time within one of the time intervals, wherein each of the received one or more real-time user setpoints correspond to a point in time, and wherein the received one or more real-time user setpoints that occur at nearby points in time are clustered into the same cluster;

harmonizing the one or more real-time user setpoints of each of the one or more of the clusters according to predetermined harmonization rules to generate single candidate temperature selections representative of each one of the clusters;

comparing one or more of the single candidate temperature selections to others of the single candidate temperature selections that correspond to similar points of time within the times intervals to detect patterns of similar candidates over multiple time intervals; and

establishing one or more of the single candidate temperature selections as one or more of the one or more intended new temperature selections if a pattern-establishing threshold of a number of similar candidates is met.

23. The computer-implemented method of claim 22, wherein generating the updated HVAC schedule based on the selected HVAC schedule and the one or more real-time user setpoints is characterized by a steady state learning phase.

25. The computer-implemented method of claim 15, wherein the computer system is part of the thermostat.