Intelligent thermostat control system
View Patent ↗An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.
1. A thermostat control system, comprising:
an intelligent thermostat controller associated with a building operative to adjust at least one thermostat within the building; and
a thermostat control application associated with a mobile unit configured to communicate first location information and first schedule to the thermostat controller indicating a location of the mobile unit on a periodic basis via a mobile data network;
wherein the thermostat controller is operative to:
receive schedule information from a social media file associated with a resident of the building via a first network, the social media file including a second location and second schedule information;
receive a first location and first schedule information from the mobile unit via the mobile data network;
access the social media file and the mobile unit in a priority order;
access the social media file based on the first location and first schedule information not being received on a periodic basis;
adaptively learn a predicted heating/cooling time for the building based on experience monitoring heating/cooling times;
adjust the thermostat based on the adaptively learned heating/cooling time, on the first location information and first schedule information and on the second location information and second schedule information; and
record historical data files for a plurality of parameters including explicit thermostat setting data, which is related to preprogrammed settings entered into the thermostat, implicit thermostat setting data, which is determined from analyses of users locations and schedules, direct thermostat setting data, the first location data, the first schedule data, the second location data, the second schedule data, resident occupancy data and zone occupancy data.