An IoT-Based Mobile Air Pollution Monitoring System
摘要
Air pollution, recognized as a critical global issue, has direct implications for human health and environmental stability. This research introduces an Internet of Things (IoT)-based mobile system designed to monitor air pollution. The system utilizes air quality sensors to gather data on key parameters, including Carbon Monoxide, Nitrogen Dioxide, and Particulate Matter 2.5. Operating in real time, the proposed system collects data from various locations and processes these pollutants as inputs into a fuzzy system. The output is a relative Air Quality Index (AQI) for the respective area, which is then stored on the online IoT platform, ThingSpeak, for easy accessibility. The developed mobile system empowers users with real-time air quality information, enabling informed decisions regarding daily activities such as outdoor exercise and commuting routes. The advantages of this system include its cost-effectiveness, automation, and real-time monitoring capability, contributing to public health improvement and promoting sustainable living. Furthermore, this initiative aligns with the United Nations Sustainable Development Goals, particularly Goal 3: Good Health and Well-being, and Goal 13: Climate Action.