Invention Grant
- Patent Title: User-relocatable self-learning environmental control device capable of adapting previous learnings to current location in controlled environment
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Application No.: US14229659Application Date: 2014-03-28
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Publication No.: US09791839B2Publication Date: 2017-10-17
- Inventor: Yoky Matsuoka , Daniel A. Warren , Anthony M. Fadell , Matthew L. Rogers , Helen Vo
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G05B15/02
- IPC: G05B15/02 ; F24F11/00 ; G05D23/19 ; F24D19/10 ; G06Q50/06 ; H04L12/28 ; G06N99/00

Abstract:
A thermostat device may include a processing system 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 heating schedule. The processing system may also be configured to determine whether the 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 heating schedule for the new location, and where zero or more of the previously measured schedule-affecting parameters are re-used based on the one or more parameters associated with the new location.
Public/Granted literature
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