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USER-RELOCATABLE SELF-LEARNING ENVIRONMENTAL CONTROL DEVICE CAPABLE OF ADAPTING PREVIOUS LEARNINGS TO CURRENT LOCATION IN CONTROLLED ENVIRONMENT
USER-RELOCATABLE SELF-LEARNING ENVIRONMENTAL CONTROL DEVICE CAPABLE OF ADAPTING PREVIOUS LEARNINGS TO CURRENT LOCATION IN CONTROLLED ENVIRONMENT
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机译:用户可重定位的自学习环境控制设备,可将先前的学习适应受控环境中的当前位置
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摘要
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.
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