Abstract
Air quality matters for all of us. Even we discuss indoor or outdoor, our health status and comfort depend on the air that we breathe. The negative effects can be immediate or long-term. To maintain the air quality, we need to monitor the values of the parameters that influence it. The paper presents a distributed IoT system for indoor air quality monitoring. The acquisition process from humidity, barometric pressure, ambient temperature, and gas sensors is accomplished by a small board computer integrated into each module that communicates with a server to upload data automatically at certain time intervals. The software keeps a history of the monitored parameters that can be displayed in numerical or graphic format for each room, allows the setting of predetermined intervals for these parameters, and generates alarms when the limits are exceeded. The Indoor IoT Air Quality Monitoring Module is low-cost and has low-power consumption. It was designed as an open platform, ready to be changed to monitor outdoor air quality. For doing this, other sensors can be connected, such as a GPS that would identify the geographical location to generate maps for monitored parameters, respectively other communication modules, such as GSM, to connect from places where the WiFi signal is not present. Including a MicroSD module, an independent data-logger can easily be obtained. The system is implemented in university rooms where the educational process takes place, offering an image of indoor air quality.
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Luculescu, M.C., Cristea, L., Zamfira, C.S., Boer, A.L., Pop, S. (2023). Distributed IoT System for Indoor Air Quality Monitoring. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_30
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DOI: https://doi.org/10.1007/978-3-031-17091-1_30
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