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Digital Air Quality Monitoring System on an Urban and Industrial Area

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Soft Computing Applications (SOFA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1438))

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Abstract

Our article presents a simple technical solution for a practical low-consumption air quality surveillance system, operational on large areas, in real-time. It is a combined software plus hardware dedicated system, used for measuring, sending and computing field data. The hardware component uses a single chip microcontroller, receiving data from a group of specific air pollution monitoring sensors (PM2.5, PM10, SO2, VOC, NO2, O3, CO, CO2), a simple LoRaWAN communication interface with a monitoring platform. This straightforward technical solution was tested and validated under real-world operational settings. In the event that the limitations of the measured environment parameters are exceeded, alarms may be given in order to implement active pollution-reduction measures. Data is matched to existing public air quality monitoring stations.

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Correspondence to Attila Simo .

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Simo, A., Dzitac, S., Pocola, A.A., Frigura-Iliasa, M., Frigura-Iliasa, F.M. (2023). Digital Air Quality Monitoring System on an Urban and Industrial Area. In: Balas, V.E., Jain, L.C., Balas, M.M., Baleanu, D. (eds) Soft Computing Applications. SOFA 2020. Advances in Intelligent Systems and Computing, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-031-23636-5_30

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