公开(公告)号：US10041690B2

公开(公告)日：2018-08-07

申请号：US15444155

申请日：2017-02-27

Applicant: Google LLC

Inventor： Eric B. Daniels ,  William R. Dong ,  Jason C. Chamberlain ,  Daniel A. Warren ,  Helen Vo ,  Shyam R. Srinivasan ,  Anthony M. Fadell ,  Matthew L. Rogers

IPC: F24D19/10 ,  G01J5/00 ,  G01J5/08 ,  G05D23/19

Abstract: An electronic device may include an occupancy sensor that is configured to detect presence within a responsive range of the occupancy sensor and a stand configured to physically support the electronic device, where the stand comprises a reflective surface positioned to reflect energy emissions from an object within the responsive range of the occupancy sensor onto the occupancy sensor.

公开(公告)号：US20180032043A1

公开(公告)日：2018-02-01

申请号：US15725739

申请日：2017-10-05

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Daniel A. Warren ,  Anthony M. Fadell ,  Matthew L. Rogers ,  Helen Vo

IPC: G05B15/02 ,  G05D23/19 ,  G06Q50/06 ,  H04L12/28 ,  F24D19/10 ,  F24F11/00 ,  G06N99/00

Abstract: A control system may be configured to learn a heating schedule at a first location according to an automated schedule learning algorithm that processes inputs including user inputs and occupancy sensing inputs and derives schedule-affecting parameters therefrom that are processed to compute the control schedule. The control system may also be configured to determine whether a thermostat has been moved to a new location, and if it is determined that the thermostat has been moved to the new location, then determine one or more parameters associated with the new location and establish a new control schedule for the new location, where zero or more of the schedule-affecting parameters are re-used based on the one or more parameters associated with the new location.

公开(公告)号：US10678200B2

公开(公告)日：2020-06-09

申请号：US15725739

申请日：2017-10-05

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Daniel A. Warren ,  Anthony M. Fadell ,  Matthew L. Rogers ,  Helen Vo

IPC: G05B15/02 ,  F24F11/00 ,  G05D23/19 ,  F24D19/10 ,  G06Q50/06 ,  H04L12/28 ,  F24F11/30 ,  F24F11/62 ,  G06Q10/04 ,  G06N20/00 ,  F24F11/58 ,  F24F11/46

Abstract: A control system may be configured to learn a heating schedule at a first location according to an automated schedule learning algorithm that processes inputs including user inputs and occupancy sensing inputs and derives schedule-affecting parameters therefrom that are processed to compute the control schedule. The control system may also be configured to determine whether a thermostat has been moved to a new location, and if it is determined that the thermostat has been moved to the new location, then determine one or more parameters associated with the new location and establish a new control schedule for the new location, where zero or more of the schedule-affecting parameters are re-used based on the one or more parameters associated with the new location.