Smart Air: A Novel Iot-Based Prediction Model for Air Pollution Forecasting and Monitoring

Abstract

The internet of things, or IoT, is a network of interconnected computing devices, mechanical and digital machines, objects, animals, and people that are equipped with unique identifiers and the capability to transfer data over a network without the need for human-to-human or human-to-computer interaction. The internet of things enables enterprises to access real-time data and business insights that, when acted upon, can ultimately result in increased efficiency. The problem of air pollution is significant and severe because of human activity. Industrial growth is critical for the economic development of any country, as it maximises the utilisation of natural resources. In this paper the strategy identifies and present a broad framework called “Air Pollution Estimation Model (APEM)” for analyzing the role of pollution control boards in preventing and controlling industrial air pollution. The framework is to provide an overview of industrial air pollution prevention and control.