首页> 外国专利> 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

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

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.
机译:恒温器设备可以包括处理系统,该处理系统被配置为根据自动进度表学习算法来学习第一位置处的加热进度表,该算法处理包括用户输入和占用感测输入的输入并从中导出进度表影响参数,该参数被处理以计算加热进度表。该处理系统还可以被配置为确定恒温器是否已经被移动到新的位置,并且如果确定恒温器已经被移动到新的位置,则确定与该新位置相关联的一个或多个参数并建立一个或多个参数。新位置的新供暖时间表,其中基于与新位置关联的一个或多个参数,重复使用零个或多个先前测量的时间表影响参数。

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