Implementation of a WiFi based plug and sense device for dedicated air pollution monitoring using IoT

The main objective of this system is to design and implement a Wi-Fi based plug and sense smart device for dedicated air pollution monitoring using Internet of Things simply called as IoT. This system designed on device to cloud architecture in IoT for monitoring air pollution precisely. Once the sensor node reads individual pollutants composition and location coordinates, Air quality index (AQI) will be calculated using linear segmented principle with greater Vancouver AQI table and Max operator aggregation method. Based on AQI value, corresponding LED will be actuated for indication and health impact with precaution steps messages will be displayed on the screen. All those data will be pushed to thingspeak cloud storage an open source application programming interface for IoT based devices. These pushed data along with date and time can be retrieved as a separate excel sheet for future analysis. Through thingview android app, real time pollution level with location can be visualized in terms of line graph. With the implementation of this low cost and small size smart device, alert can be given to people to wear anti-pollution mask and reroute path in transportation where there is high air pollution ensuring high reliability and consistency.