USER-RELOCATABLE SELF-LEARNING ENVIRONMENTAL CONTROL DEVICE

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 p...

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Hauptverfasser: DANIELS, Eric B, SATTERTHWAITE, Edwin H, CHAMBERLAIN, Jason C, HONJO, Hirofumi, HONJO, Shigefumi, VO, Helen, MATSUOKA, Yoky, WARREN, Daniel A, DONG, William R, SRINIVASAN, Shyam R, HOLBROOK, Richard W, FADELL, Anthony M, ROGERS, Matthew L
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung: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.