Development of the temperature prediction algorithm for smart thermostat

Abstract

This article discloses systems for control of microclimate parameters in buildings and rooms with different intellectualization levels. Requirements to a smart thermostat as to a building automation system part and tasks for smart thermostat development have been formulated. Thermal models of a typical room and heating radiator have been developed. The results of development of the air temperature prediction algorithm and heating radiator capable of real time operation and ensuring adaptation to varying conditions in a room have been described. Testing of the algorithm using real data has been carried out. Study of the temperature control model's behavior in connection with the change of input data and determined parameters has been carried out. Calculation method for the room air heating time up to set temperature has been determined. Maximum absolute temperature determination error when prediction time does not exceed 7 minutes is approximately 1 C and relative temperature determination error is less than 5%.