Abstract
Home air environments are affected by several pollutant sources. Among them, fine dust is the most dangerous pollutant, which can cause serious health problems. In general, residents in East-Asian countries trust fine dust information on weather forecast portals. However, the quality at air inside homes is very different from forecasted, as indoor air conditions cannot be observed easily. Although fine dust values can be observed in an air purifier, these readings can hardly be trusted, because one air purifier in a living room cannot determine the fine dust density values of other rooms or places. Therefore, this paper presents a home fine-dust monitoring system based on selected places applicable in any environments. By using the FRIBEE white Arduino board (built-in XBee shield Arduino board) and fine dust sensors, a star network topology is developed and each fine dust density value is determined by the fine dust sensors. Utilizing XBee and the Bluetooth network, the author examined fine dust density values on an Arduino serial monitor and Android applications in real time. To obtain a moderate result, two places in a home were selected to observe the fine dust density values. Moreover, indoor fine dust density values were compared with fine dust density values of weather forecast portals. The proposed systems can be used as a low-cost tool for home (or other indoor environments) fine dust monitoring.
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Cho, S.W. (2020). Home Fine Dust Monitoring Systems Using XBee. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_27
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DOI: https://doi.org/10.1007/978-3-030-33509-0_27
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