Abstract
Creating high-precision and reliable control systems with elements of artificial intelligence is a relevant problem. In existing works, this issue has been considered. However, the important and urgent task, not yet solved, is to reduce energy consumption in relay control systems with artificial intelligence components (RCS AIC) without degrading their stability and quality. The goal of this work is estimating the energy consumption in the RCS AIC and its use for the management of the thermal facility. A model of a “smart house” heating control system has been developed, the dependences of the energy consumption on the system parameters have been obtained with use of Markov process model and a method for reducing them has been proposed. An algorithm is proposed that allows us to work out recommendations on how to change the hydraulic and temperature parameters of the heating system and the tuning parameters of the control system.
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