Abstract
Smart home devices can support multi-sensor scheduling, monitoring, and adjusting of home heating, ventilation, and air-conditioning (HVAC) based on a schedule set by a user. Schedule-based temperature presets across changing groups of sensors can experience problems arising from stale/offline sensors, preconditioning, and an excessive memory footprint of the schedule. This disclosure describes techniques of multi-sensor, multi-room remote temperature control that can process user-set temperature schedules across changing groups of sensors while gracefully handling stale/offline sensors and preconditioning constraints. The techniques have a low memory footprint. Readings from sensors are weighted based on recency, such that stale/offline sensors are gracefully removed from the estimated average temperature. The active sensor set and temperature setpoint is based upon the schedule immediately following preconditioning. Memory footprint of the user-set schedule is substantially reduced by encoding the list of active sensors into a bitset.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Burger, Eric; Yang, Ernie; and McCanny, Ben, "Multi-sensor Scheduling and Preconditioning for Remote Temperature Control", Technical Disclosure Commons, (September 18, 2024)
https://www.tdcommons.org/dpubs_series/7367