The advent of IoT has enabled the usage of wireless network technologies in monitoring different realtime sensor data, like temperature, pressure and air pollution. The data retrieved by the devices are sent wirelessly to a database on a remote server for future analysis and processing. These days air pollution levels are increasing beyond our control and crossing the safety limits. There is a need for people to be aware of how much air pollution they are exposed to and take steps to reduce their susceptibility to the same. The proposed system consists of a design that helps in achieving this. It is an IoT based air pollution monitoring system. To implement this, we have used NodeMCU esp32 and Nova PM Sensor SDS011. The sensor reads the real-time pollution levels and sends the data to the micro controller which in turn communicates it to an android app via the cloud. The app aims at monitoring the daily PM2.5 and PM10 exposure of the user. It shows the current PM levels and indicates how safe it is. Another functionality involves plotting the real-time PM values on a map. At the end of the day, it shows the average exposure of that day and gives tips on how to reduce the exposure. The goal of the paper is to monitor air pollution exposure in a personalized way and to create awareness.
Volume 12 | 07-Special Issue
Pages: 1518-1524
DOI: 10.5373/JARDCS/V12SP7/20202254