公开(公告)号：US11739968B2

公开(公告)日：2023-08-29

申请号：US16898063

申请日：2020-06-10

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Mark Malhotra ,  Allen J. Minich ,  Mark D. Stefanski

IPC: F24F11/64 ,  G05D23/19 ,  F24F11/62 ,  F24F11/30 ,  F24F140/60 ,  F24F120/20

CPC classification number: F24F11/64 ,  F24F11/30 ,  F24F11/62 ,  G05D23/1904 ,  G05D23/1905 ,  F24F2120/20 ,  F24F2140/60

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.

公开(公告)号：US11359831B2

公开(公告)日：2022-06-14

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

IPC: F24F11/62 ,  G06N20/00 ,  H04Q9/00 ,  G05D23/19 ,  G05B15/02 ,  H04L12/28 ,  F24F11/30

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.

公开(公告)号：US10690369B2

公开(公告)日：2020-06-23

申请号：US16016312

申请日：2018-06-22

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Evan J. Fisher ,  Mark Malhotra ,  Mark D. Stefanski ,  Rangoli Sharan ,  Frank E. Astier

IPC: F24F11/62 ,  G06N20/00 ,  H04Q9/00 ,  G05D23/19 ,  G05B15/02 ,  H04L12/28 ,  F24F11/30

Abstract: A method includes operating a controller according to a control schedule; detecting events that indicate occupancy; storing a record of the events that indicate occupancy in one or more memory devices; and causing the controller to enter an auto-away state. A determination that the controller should 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 method also includes detecting a pattern of instances where the controller enters the auto-away state over a plurality of days; and adjusting the control schedule based at least in part on the pattern of instances where the controller enters the auto-away state.

公开(公告)号：US20180299163A1

公开(公告)日：2018-10-18

申请号：US16016312

申请日：2018-06-22

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Evan J. Fisher ,  Mark Malhotra ,  Mark D. Stefanski ,  Rangoli Sharan ,  Frank E. Astier

IPC: F24F11/62 ,  G06N99/00 ,  G05B15/02 ,  H04Q9/00 ,  H04L12/28 ,  F24F11/30 ,  G05D23/19

CPC classification number: F24F11/62 ,  F24F11/30 ,  G05B15/02 ,  G05B2219/2642 ,  G05D23/1902 ,  G06N20/00 ,  H04L12/2829 ,  H04Q9/00 ,  H04Q2209/10

Abstract: A method includes operating a controller according to a control schedule; detecting events that indicate occupancy; storing a record of the events that indicate occupancy in one or more memory devices; and causing the controller to enter an auto-away state. A determination that the controller should 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 method also includes detecting a pattern of instances where the controller enters the auto-away state over a plurality of days; and adjusting the control schedule based at least in part on the pattern of instances where the controller enters the auto-away state.

公开(公告)号：US10078319B2

公开(公告)日：2018-09-18

申请号：US14975061

申请日：2015-12-18

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Anthony M. Fadell ,  Matthew L. Rogers ,  David Sloo ,  Eric A. Lee ,  Steven A. Hales ,  Mark D. Stefanski ,  Rangoli Sharan

IPC: G05B19/10 ,  F24F11/00 ,  G05B15/02 ,  G05D23/19 ,  G05B19/042 ,  F24F11/30 ,  F24F11/62 ,  G01R22/10 ,  F24F110/00 ,  F24F120/20 ,  F24F11/64 ,  F24F11/65 ,  F24F11/58 ,  F24F11/59 ,  F24F11/61

CPC classification number: G05B19/106 ,  F24F11/30 ,  F24F11/52 ,  F24F11/58 ,  F24F11/59 ,  F24F11/61 ,  F24F11/62 ,  F24F11/64 ,  F24F11/65 ,  F24F2110/00 ,  F24F2120/20 ,  G01R22/10 ,  G05B15/02 ,  G05B19/0423 ,  G05B2219/2614 ,  G05B2219/2642 ,  G05D23/1904 ,  G05D23/1917 ,  H04L12/2825 ,  H04L12/40013 ,  H04L2012/285

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.

公开(公告)号：US10012405B2

公开(公告)日：2018-07-03

申请号：US14697440

申请日：2015-04-27

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Eric A. Lee ,  Steven A. Hales ,  Mark D. Stefanski ,  Rangoli Sharan

IPC: G06F19/00 ,  F24F11/00 ,  H04L12/28 ,  H04L12/40 ,  G05D23/19 ,  G05B13/02

CPC classification number: F24F11/62 ,  F24F11/30 ,  G05B13/0265 ,  G05D23/1904 ,  G05D23/1917 ,  H04L12/2803 ,  H04L12/2825 ,  H04L12/40013 ,  H04L2012/285

Abstract: The current application is directed to intelligent controllers that initially aggressively learn, and then continue, in a steady-state mode, to monitor, learn, and modify one or more control schedules that specify a desired operational behavior of a device, machine, system, or organization controlled by the intelligent controller. An intelligent controller generally acquires one or more initial control schedules through schedule-creation and schedule-modification interfaces or by accessing a default control schedule stored locally or remotely in a memory or mass-storage device. The intelligent controller then proceeds to learn, over time, a desired operational behavior for the device, machine, system, or organization controlled by the intelligent controller based on immediate-control inputs, schedule-modification inputs, and previous and current control schedules, encoding the desired operational behavior in one or more control schedules and/or sub-schedules.