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Vol. 229, Issue 1, January 2019, pp. 84-94

 

Bullet

 

Smart Framework for Environmental Pollution Monitoring and Control System
Using IoT-Based Technology
 

Sani ABBA and Beauty Ejiroghene PATRICK

Abubakar Tafawa Balewa University (Federal University of Technology), ATBU, Yelwa campus Dass road, P.M.B. 0248, Bauchi State, Nigeria
Tel.: + 234 0811 9717 843

E-mail: saniabba2004@gmail.com, ejirobeautypatrick@gmail.com

 

Received: 30 November 2018 /Accepted: 31 December 2018 /Published: 31 January 2019

Digital Sensors and Sensor Sysstems

 

Abstract: Nowadays, our environment is suffering from environmental pollution, especially air and sound pollution. This is on a rapid increase due to speedy growth in industrial and human activities across the universe. Therefore, a monitoring and control system is recommended to bring these pollutants 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 paper extended our previous conference paper work 15. 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, Wi-Fi module and a web server for monitoring pollution levels. The implemented prototype was tested for two parameters, namely, noise and smoke levels. 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 and case study, demonstrates the flexibility and efficiency of the proposed system. 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 pollutants for smart environments. With the implemented device prototype, itís very easy to monitor and control the level of air and sound pollution present in the environment.

 

Keywords: Internet of thing (IoT), MQ-2 gas sensor, LMVR sound sensor, Monitoring and control, Fabricated prototype, Proteus 8.5 design suite, Arduino integrated design environment.

 

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