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

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, it’s very easy to monitor and control the level of air and sound pollution present in the environment

Sensor-Based Optimization Model for Air Quality Improvement in Home IoT

We introduce current home Internet of Things (IoT) technology and present research on its various forms and applications in real life. In addition, we describe IoT marketing strategies as well as specific modeling techniques for improving air quality, a key home IoT service. To this end, we summarize the latest research on sensor-based home IoT, studies on indoor air quality, and technical studies on random data generation. In addition, we develop an air quality improvement model that can be readily applied to the market by acquiring initial analytical data and building infrastructures using spectrum/density analysis and the natural cubic spline method. Accordingly, we generate related data based on user behavioral values. We integrate the logic into the existing home IoT system to enable users to easily access the system through the Web or mobile applications. We expect that the present introduction of a practical marketing application method will contribute to enhancing the expansion of the home IoT market