Development of Particulate Matter Detection and Air Monitoring System by Using Ardunio

Air pollution poses a significant threat to both human health and the environment. Among its various pollutants, particulate matter stands out as a major concern. A key indicator of air quality is the amount of particulate matter 2.5 (PM2.5) in the air. Monitoring and detecting the concentration of PM in the air are crucial for assessing air quality and implementing effective pollution control measures. Most studies indicate PM2.5 at or below 12/ 3 is considered healthy with little to no risk from exposure. If the level goes to or above 35 g/m 3 during a 24-hour period, the air is considered unhealthy and can cause problems for people with existing breathing issues such as asthma. This research developed PM2.5 detection and monitoring system by using Arduino. Dust sensor is used to detect and measure the concentration of PM2.5 in the surrounding air. The sensor employs an infrared LED and a photodetector to analyse the scattering of light caused by the particles. A gas sensor MQ-2 is incorporated to provide support in areas where pollutants like Carbon Monoxide and LPG are present. Arduino functions as main controller to collect data from dust and gas sensor. The data is displayed on LCD screen. This provide information on the air quality and prompt action can be taken earlier.