Abstract:
In a multi-sensing, wirelessly communicating learning thermostat that uses power-harvesting to charge an internal power source, methods are disclosed for ensuring that the battery does not become depleted or damaged while at the same time ensuring selected levels of thermostat functionality. Charge status is monitored to determine whether the present rate of power usage needs to be stemmed. If the present rate of power usage needs to be stemmed, then a progression of performance levels and/or functionalities can be scaled back according to a predetermined progressive power conservation algorithm. In one embodiment, a wake-on-proximity function that activates a user interface based on readings from the proximity sensor may be altered while still allowing a HVAC control circuitry to operate as normal.
Abstract:
A thermostat for controlling an HVAC system and related systems, methods, and computer program products for facilitating user-friendly installation of the thermostat are described. For one embodiment, automated installation verification is performed by the thermostat by automatically sensing which wires have been inserted, selecting a candidate HVAC operating function (e.g., heating or cooling) that is consistent with a subset of HVAC signal types indicated by the inserted wires, applying control signals to the HVAC system to invoke that HVAC operating function, and processing a time sequence of acquired temperature readings to determine whether that HVAC operating function was successfully carried out. For one embodiment, the initial automated testing of the heating and cooling functions are only carried out at times for which such heating or cooling function would normally be invoked during normal operation of the thermostat. Automated determination of a heat pump call convention is also described.
Abstract:
The current application is directed to intelligent controllers that continuously, periodically, or intermittently monitor progress towards one or more control goals under one or more constraints in order to achieve control that satisfies potentially conflicting goals. An intelligent controller may alter aspects of control, dynamically, while the control is being carried out, in order to ensure that goals are obtained and a balance is achieved between potentially conflicting goals. The intelligent controller uses various types of information to determine an initial control strategy as well as to dynamically adjust the control strategy as the control is being carried out.