Temperature control strategy utilizing neural network processing of occupancy and activity level sensing

摘要

A temperature control system utilizes detected occupancy and activity levels to automatically condition a response of an HVAC system to a difference between a setpoint temperature and an actual temperature within a zone. The illustrated example includes an infrared sensor that provides at least one signal indicating the activity and occupancy levels in the zone. A neural network processes the sensor signal to provide an indication of the occupancy and activity levels to a controller. The controller automatically adjusts at least one control parameter of the HVAC system to compensate for changes in the occupancy or activity levels that would affect the temperature comfort setting in the zone.