An Intelligent Air Pollution Detector Using IoT and Sensor Networks
Keywords:
environmental sensing, IoT, air pollutants, sensors, Arduino, air quality monitoringAbstract
Air pollution has become one of the major environmental and public health challenges across the world. In- creasing industrialization, urbanization, vehicular emissions, and harmful gases have significantly affected air quality. Continuous exposure to polluted air can lead to respiratory diseases, cardiovascular problems, and other health-related issues. Traditional air quality monitoring systems are often expensive and limited to fixed locations, making real-time monitoring difficult for common users. This research paper presents an Air Quality and Pollution Detection System based on Internet of Things (IoT) technology for real-time monitoring and analysis of environmental conditions. The proposed system uses sensors such as MQ135, MQ7, DHT11/DHT22, and particulate matter sensors to detect harmful gases, temperature, humidity, and air quality parameters. An Arduino Uno microcontroller is used for data collection and local data processing. The collected data is processed onboard and displayed on a 16x2 I2C LCD module, with provisions for serial communication to external logging or monitoring systems. The proposed system aims to provide a low-cost, portable, and efficient solution for monitoring air pollution levels in residential, industrial, and urban areas. The system can help users identify harmful pollution conditions and take preventive actions. The implementation demonstrates accurate monitoring, fast response time, and efficient real-time data processing. Future enhancements may include machine learning- based pollution prediction, wireless connectivity modules, and integration with smart city infrastructures.
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