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Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 6th EAI International Conference, FABULOUS 2022, Virtual Event, May 4, 2022, Proceedings

Research Article

An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions

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  • @INPROCEEDINGS{10.1007/978-3-031-15101-9_9,
        author={Ioannis D. Apostolopoulos and George Fouskas and Spyros N. Pandis},
        title={An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions},
        proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 6th EAI International Conference, FABULOUS 2022, Virtual Event, May 4, 2022, Proceedings},
        proceedings_a={FABULOUS},
        year={2022},
        month={9},
        keywords={Air quality monitoring Internet of Things Low-cost sensors Calibration Microcomputers Raspberry PI},
        doi={10.1007/978-3-031-15101-9_9}
    }
    
  • Ioannis D. Apostolopoulos
    George Fouskas
    Spyros N. Pandis
    Year: 2022
    An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions
    FABULOUS
    Springer
    DOI: 10.1007/978-3-031-15101-9_9
Ioannis D. Apostolopoulos,*, George Fouskas, Spyros N. Pandis
    *Contact email: japostol@iceht.forth.gr

    Abstract

    Indoor and outdoor air quality monitoring is essential for the prevention of undesired exposure to air pollutants, especially for sensitive groups. Extensive exposure to particulate and gaseous pollutants can cause temporary and chronic respiratory and other diseases and even lead to premature death. The emergence of low-cost sensors enables the development of affordable devices that measure the concentrations of various pollutants and notify humans for the quality of the air that they breath. Current microcomputer technology and the advances in wireless communications, as well as data systems, provide space for Internet of Things devices that monitor, track, store and analyze pollutant concentration measurements enabling data analytics. In this work, we describe the development and testing of a compact, integrated air quality monitoring device that detects and reports fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) levels as well as temperature (T) and relative humidity (RH).

    Keywords
    Air quality monitoring Internet of Things Low-cost sensors Calibration Microcomputers Raspberry PI
    Published
    2022-09-18
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-15101-9_9
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