Air Quality Monitoring System Using Raspberry PI

In addition to influencing human activity and contributing to global warming, air pollution endangers the ecology and the standard of living on Earth. Improving the effectiveness of air pollution monitoring techniques and methodologies is crucial to preventing such unfavourable instability in nature. This research proposes the creation and deployment of an efficient IoT-based remote air pollution monitoring system. The Raspberry Pi microcontroller and Arduino Leonardo module are used in the system’s development. The MQ2, MQ7, MQ9, and MQ135 gas sensors are used to measure the concentration levels of LPG, carbon monoxide, methane, and carbon dioxide in the air. These sensors are capable of detecting a wide range of dangerous gases and accurately determining their concentration. The air pollution monitoring system provides remote access by measuring air quality parameters and sending them in real-time to a cloud server. The results of experiments conducted with the computerized air quality monitoring system demonstrate that it offers a trustworthy source of up-to-date information on air pollution. The creation of an inexpensive infrastructure that permits data aggregation and dissemination to all users is the primary goal of this effort.