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公开(公告)号:US10697662B2
公开(公告)日:2020-06-30
申请号:US16398966
申请日:2019-04-30
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Evan J. Fisher
IPC: G05B21/00 , F24F11/62 , G05D23/19 , F24F11/30 , G05B15/02 , F24F110/00 , F24F110/10 , F24F140/60 , F24F120/20 , F24F11/64 , F24F11/65 , F24F11/58 , F24F11/61 , F24F11/46 , F24F11/52
Abstract: Apparatus, systems, methods, for optimizing a schedule of setpoint temperatures used in the control of an HVAC system are presented herein. A schedule of setpoint temperatures may be adjusted by small, incremental amounts so that the schedule migrates from the original schedule to a more energy-efficient schedule.
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公开(公告)号:US10545517B2
公开(公告)日:2020-01-28
申请号:US15902290
申请日:2018-02-22
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Allen J. Minich , Joseph A. Ruff
Abstract: In controlling the HVAC system, a need to determine an expected indoor temperature profile for a particular schedule of setpoint temperatures may arise. To make such a determination, a thermodynamic model of the structure is used. The thermodynamic model is generated by fitting weighting factors of a set of basis functions to a variety of historical data including time information, temperature information, and HVAC actuation state information. The set of basis functions characterize an indoor temperature trajectory of the structure in response to a change in HVAC actuation state, and include an inertial carryover component that characterizes a carryover of a rate of indoor temperature change that was occurring immediately prior to the change in actuation state.
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公开(公告)号:US20180088605A1
公开(公告)日:2018-03-29
申请号:US15805312
申请日:2017-11-07
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Allen J. Minich , Mark D. Stefanski
IPC: G05D23/19
Abstract: A control system includes an energy management system in operation with intelligent, network-connected thermostats located in structures. The thermostats are operable to control HVAC systems. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function.
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公开(公告)号:US10775814B2
公开(公告)日:2020-09-15
申请号:US13864929
申请日:2013-04-17
Applicant: Google LLC
Inventor: Yoky Matsuoka , Evan J. Fisher , Mark Malhotra , Mark D. Stefanski
Abstract: The current application is directed to intelligent controllers that use sensor output and electronically stored information to determine whether or not one or more types of entities are present within an area, volume, or environment monitored by the intelligent controllers. The intelligent controllers select operational modes and/or modify control schedules with respect to the presence and absence of the one or more entities. The intelligent controllers selectively carry out scheduled control operations during periods of time when one or more types of entities are determined not to be in a controlled environment.
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公开(公告)号:US10718539B2
公开(公告)日:2020-07-21
申请号:US15805312
申请日:2017-11-07
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Allen J. Minich , Mark D. Stefanski
IPC: G05D23/19 , F24F11/30 , F24F11/62 , F24F140/60 , F24F120/20
Abstract: A control system includes an energy management system in operation with intelligent, network-connected thermostats located in structures. The thermostats are operable to control heating, ventilation, and air conditioning (HVAC) systems. Control during a demand response (DR) event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function.
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6.
公开(公告)号:US20200167834A1
公开(公告)日:2020-05-28
申请号:US16618542
申请日:2018-12-28
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Shwetak Patel , Camille Dredge
Abstract: Described herein are systems and methods for intelligent identification and provisioning of devices and services for a smart home. A user can identify an issue or a question with respect to how to solve a problem within their home. The system can use advanced intelligence to interact with the user to obtain information that can allow the system to identify relevant information for solving the user's problem or answering the user's question by identifying correlated information about the user, such as demographic or behavioral information, and using that information in conjunction with past purchasing information, information specific to the user's home, and the like to generate a recommendation and installation plan for one or more smart home devices for the user. Once implemented, the system can also provide confirmation that the installation was completed properly.
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公开(公告)号:US10317104B2
公开(公告)日:2019-06-11
申请号:US15049899
申请日:2016-02-22
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Evan Fisher
IPC: G05B21/00 , F24F11/62 , G05D23/19 , G05B15/02 , F24F11/30 , F24F110/00 , F24F110/10 , F24F140/60 , F24F120/20 , F24F11/64 , F24F11/65 , F24F11/58 , F24F11/61 , F24F11/46 , F24F11/52
Abstract: Apparatus, systems, methods, and related computer program products for optimizing a schedule of setpoint temperatures used in the control of an HVAC system. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat includes a schedule of setpoint temperatures that is used to control an HVAC system associated with a structure in which the thermostat is located. The schedule of setpoint temperatures is continually adjusted by small, unnoticeable amounts so that the schedule migrates from the original schedule to an optimal schedule. The optimal schedule may be optimal in terms of energy consumption or some other terms.
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公开(公告)号:US09910449B2
公开(公告)日:2018-03-06
申请号:US13866602
申请日:2013-04-19
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Allen J. Minich , Joseph A. Ruff
CPC classification number: G05D23/1917 , F24F11/52 , F24F11/58 , G05B15/02 , G05B17/02 , G05B2219/2614 , G05B2219/2642
Abstract: Thermostats disclosed herein are operable to control an HVAC system. In controlling the HVAC system, a need to determine an expected indoor temperature profile for a particular schedule of setpoint temperatures may arise. To make such a determination, a thermodynamic model of the structure is used. The thermodynamic model may be generated by fitting weighting factors of a set of basis functions to a variety of historical data including time information, temperature information, and HVAC actuation state information. The set of basis functions characterize an indoor temperature trajectory of the structure in response to a change in HVAC actuation state, and include an inertial carryover component that characterizes a carryover of a rate of indoor temperature change that was occurring immediately prior to the change in actuation state.
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9.
公开(公告)号:US20200318844A1
公开(公告)日:2020-10-08
申请号:US16907922
申请日:2020-06-22
Applicant: Google LLC
Inventor: Yoky Matsuoka , Evan J. Fisher , Mark Malhotra , Mark D. Stefanski , Rangoli Sharan , Frank E. Astier
Abstract: A method includes a system that operates according to a control schedule; detects events that indicate occupancy; stores a record of the events that indicate occupancy in one or more memory devices; and enters an auto-away state. A determination to enter the auto-away state may be based at least in part on a length of a time interval during which no events that indicate occupancy were detected and the stored record of the events that indicate occupancy. The system may also detect a pattern of instances where the auto-away state is entered over a plurality of days and adjusts the control schedule based at least in part on the pattern of instances where the auto-away state is entered.
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公开(公告)号:US20200300491A1
公开(公告)日:2020-09-24
申请号:US16898063
申请日:2020-06-10
Applicant: Google LLC
Inventor: Yoky Matsuoka , Mark Malhotra , Allen J. Minich , Mark D. Stefanski
Abstract: A control system includes an energy management system in operation with intelligent, network-connected thermostats located in structures. The thermostats are operable to control heating, ventilation, and air conditioning (HVAC) systems. Control during a demand response (DR) event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function.
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