An IoT-Based Framework for Environmental Pollution Monitoring and Control System of a Smart Environment

The environment we live today is suffering from environmental pollution, especially air and sound pollution. This is on a rapid increase due to rapid growth in industrial and human activities. Therefore, a monitoring and control system is recommended to bring this pollution under control. This paper presents an IoT-Based framework for environmental pollution monitoring and control system that can detect and monitor both the level of sound and the existence of harmful gases in the environment. The methodology employs the use of MQ-2 gas and LMVR sound sensors and a real working prototype was designed and implemented. The Proteuos 8.0 professional and embedded C programming language are used as the development tools. The hardware architecture consists of the Arduino UNO board with hardware support packages, WiFi module and a web server for monitoring pollution levels. The implemented prototype was tested for two parameters, namely, noise and smoke values. This is achieved by comparing the threshold value with the normal behavior levels of the sensors. This process provided a real time data for monitoring and control of pollution, which make the environment smart and conducive for living. Real-time measurements of the two parameters are taken as long as the system prototype is on and connected to the internet. A Wi-Fi module was used to provide internet access and data synchronization between sensors. The sensor data can be monitored and control from remote locations via the internet. Experimental results demonstrate that it's very easy to monitor and control the level of air and sound pollution present in the environment. These findings will help to plan for a healthy surrounding so that smart-environment users, will be able to control the pollution by taking necessary measures to reduce the level of pollution in smart environments.