公开(公告)号：US20190003736A1

公开(公告)日：2019-01-03

申请号：US16026263

申请日：2018-07-03

Applicant: Google LLC

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

IPC: F24F11/62 ,  H04L12/28 ,  G05B13/02 ,  G05D23/19 ,  F24F11/30 ,  H04L12/40

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.

公开(公告)号：US10684038B2

公开(公告)日：2020-06-16

申请号：US16026263

申请日：2018-07-03

Applicant: Google LLC

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

IPC: F24F11/62 ,  G05D23/19 ,  H04L12/40 ,  F24F11/30 ,  H04L12/28 ,  G05B13/02

Abstract: A method of using a server to update stored control schedules for environmental controllers includes communicating with an environmental controller that controls, during a monitoring period, an environmental system in an enclosure according to a stored control schedule; receiving a first immediate-control input provided through the environmental controller during the monitoring period; receiving a first control-schedule change provided through the environmental controller during the monitoring period; receiving a second immediate-control input provided through a user device during the monitoring period; receiving a second control-schedule change provided through the user device during the monitoring period; processing at least the first immediate-control input, the first control-schedule change, the second immediate-control input, and the second control-schedule change together to generate an updated control schedule; and causing the environmental controller to control the environmental system according to the updated control schedule.

公开(公告)号：US10337754B2

公开(公告)日：2019-07-02

申请号：US15697113

申请日：2017-09-06

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Steven A. Hales

IPC: F24F11/30 ,  F24F11/58 ,  F24F11/62 ,  G05B15/02 ,  G05D23/19 ,  H04L12/28 ,  H04L29/08

Abstract: The current application is directed to an intelligent control system that includes intelligent thermostats and remote servers that spread call-home events over time to avoid large peak computational and communications loads on intelligent-control-system servers. The spreading of call-home vents over time is effected by use of call-home splay values pseudorandomly generated for intelligent thermostats.

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.