Invention Grant
- Patent Title: User-relocatable self-learning environmental control device capable of adapting previous learnings to current location in controlled environment
-
Application No.: US15725739Application Date: 2017-10-05
-
Publication No.: US10678200B2Publication Date: 2020-06-09
- Inventor: Yoky Matsuoka , Daniel A. Warren , Anthony M. Fadell , Matthew L. Rogers , Helen Vo
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- 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 ; 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.
Public/Granted literature
Information query