BUILDING BUILDING AUTOMATIC MISTING SYSTEM TO REDUCE HEAT INDEX AND DUST IN THE AIR

Abstract

This paper presents the method of design and construction of an automatic misting system control data collection system. The system is designed based on a combination of data collection and processing equipment and wireless communication technologies (IoTs). The temperature, humidity, and PM2.5 fine dust concentration sensors in the air provide temperature, humidity, and PM2.5 fine dust concentrations through a central hardware platform. NodeMCU ESP8266. The collected temperature and humidity data will be used to calculate the heat, and the temperature data results and the collected PM2.5 fine dust concentration data will be used. as input data for the system's fuzzy logic algorithm to output a control signal for the fogging system to reduce the ambient temperature and the concentration of PM2.5 fine dust in the air to help improve air quality as well. like human health. The temperature, humidity, PM2.5 fine dust concentration, and heat data will be displayed and stored on the Thingspeak server through the system's wifi connection. The system results are stable, the air quality data measured by the system is continuously transferred and stored on the server in real-time, and the collected data is used as an evaluation opinion, and make predictions about the air environment, weather, and climate in the equipment installation area.