COMPREHENSIVE AIR AND NOISE POLLUTION MONITORING USING IOT TECHNOLOGY

Abstract

The constant rise in air and sound pollution is a serious and concerning issue in the modern world. Controlling and properly monitoring the situation has become essential in order to take the necessary actions to control it. This project proposes an Internet of Things (IoT)-based approach that uses a Raspberry Pi to monitor and check in real time the region's sound pollution and Air Quality Index. The Air Quality Index Monitoring Module and the Sound Intensity Detection Module are the two components that make up the suggested technology.

First, the presence of air contaminants is taken into account while calculating the Air Quality Index. Next, the appropriate sensor is used to determine the sound intensity. The system continuously sends data to the microcontroller via air sensors to detect the presence of dangerous gases or compounds in the atmosphere. Additionally, the system continuously measures the sound level and transmits the results to the web server via IOT. The microcontroller analyses the data from the sensors and sends it over the internet.

This makes it possible for authorities to keep an eye on air pollution in various locations and take appropriate measures. Additionally, authorities may monitor noise pollution in the vicinity of hospitals, schools, and no-honking zones. If a system identifies problems with the air quality or noise, it notifies authorities so that corrective action can be taken.