Development of intelligent control system of hvac by using machine learning

Abstract

The article is devoted to the problem of regulation of heat supply and air conditioning in the room. An automated system for monitoring the dynamic characteristics of such sensors is described, which is a software and hardware complex for setting up a test bench and analyzing the parameters of sensors for dynamic temperature control and air conditioning. The main purpose of this system is automation of one room by controlling air conditioning and supporting a temperature. The system performs the functions of controlling the Google Coral USB Accelerator, configuring the ADC and determining the amplitudefrequency and phase-frequency characteristics of temperature sensors, switches, leak sensors and air conditioning based on the results of their experimental studies on the stand for monitoring the dynamic characteristics of sensors and monitoring in the SCADA Genesis64 program. The scheme of the test bench, the generalized algorithm of the system operation and the screen form of the program operation are presented. The software of the automated system for temperature control and air conditioning in the room is developed on the basis of ModBus TCP, OPC UA and SCADA programs.