Air Pollution Monitoring System using LabVIEW

Air pollution poses a significant threat to human health and the environment. To address this issue, the development of effective air pollution monitoring systems is crucial. This research paper presents an innovative approach to monitoring air pollution using the MyRIO platform, a programmable embedded system designed for real-time control and data acquisition. The proposed system integrates various sensors to measure key air pollutants and provides a reliable and accurate means of monitoring air quality in real-time. FPGA, and I/O capabilities, making it suitable for data acquisition and control applications. The proposed system integrates various sensors to measure key air pollutants, such as particulate matter, carbon monoxide, smoke, and Gas leakage like LPG. The acquired data is processed, analysed, and transmitted to a central server for visualisation and further analysis. The system provides an efficient and reliable solution for monitoring air pollution, aiding in decision-making processes, and facilitating effective pollution control measures. The system architecture, sensor selection, data acquisition, and analysis methods are discussed in detail, highlighting the potential of MyRIO-based solutions in air pollution monitoring