Abstract:
Designing of an IoT-based air pollution monitoring system is a proactive and impactful approach to tackle the critical issue of air pollution and its adverse effects on the environment. Such a system is instrumental in offering real-time air quality data, empowering swift responses when pollution levels exceed acceptable thresholds. The system's design encompasses various hardware components, including carefully chosen air quality sensors, a microcontroller (Arduino Mega 2560), a communication module for the network connectivity, and a sustainable power supply. On the software front, the system involves data collection from sensors, data processing with calibration and conversion to air quality parameters, secure data transmission, storage, analysis, and an alerting mechanism. User interface development facilitates real-time and historical data visualization, while stringent security measures ensure data protection. Scalability, integration, and strategic deployment in key areas further enhance the system's effectiveness. Regular maintenance and updates are vital to ensuring accurate and reliable performance. Overall, implementing an IoT-based air pollution monitoring system is an essential step toward monitoring and addressing air quality concerns in a comprehensive and timely manner, ultimately fostering environmental awareness, and driving pollution mitigation efforts.
