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A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings

Author

Listed:
  • Gonçalo Marques

    (Unit for Inland Development, Polytechnic Institute of Guarda, Avenida Doutor Francisco Sá Carneiro N° 50, 6300-559 Guarda, Portugal)

  • Cristina Roque Ferreira

    (Department of Imagiology, Hospital Centre and University of Coimbra (CHUC), 3000-075 Coimbra, Portugal)

  • Rui Pitarma

    (Unit for Inland Development, Polytechnic Institute of Guarda, Avenida Doutor Francisco Sá Carneiro N° 50, 6300-559 Guarda, Portugal)

Abstract

Occupational health can be strongly influenced by the indoor environment as people spend 90% of their time indoors. Although indoor air quality (IAQ) is not typically monitored, IAQ parameters could be in many instances very different from those defined as healthy values. Particulate matter (PM), a complex mixture of solid and liquid particles of organic and inorganic substances suspended in the air, is considered the pollutant that affects more people. The most health-damaging particles are the ≤PM 10 (diameter of 10 microns or less), which can penetrate and lodge deep inside the lungs, contributing to the risk of developing cardiovascular and respiratory diseases, as well as of lung cancer. This paper presents an Internet of Things (IoT) system for real-time PM monitoring named iDust. This system is based on a WEMOS D1 mini microcontroller and a PMS5003 PM sensor that incorporates scattering principle to measure the value of particles suspended in the air (PM 10 , PM 2.5 , and PM 1.0 ). Through a Web dashboard for data visualization and remote notifications, the building manager can plan interventions for enhanced IAQ and ambient assisted living (AAL). Compared to other solutions the iDust is based on open-source technologies, providing a total Wi-Fi system, with several advantages such as its modularity, scalability, low cost, and easy installation. The results obtained are very promising, representing a meaningful tool on the contribution to IAQ and occupational health.

Suggested Citation

  • Gonçalo Marques & Cristina Roque Ferreira & Rui Pitarma, 2018. "A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:821-:d:142468
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    Citations

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    Cited by:

    1. Osama Alsamrai & Maria Dolores Redel-Macias & Sara Pinzi & M. P. Dorado, 2024. "A Systematic Review for Indoor and Outdoor Air Pollution Monitoring Systems Based on Internet of Things," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    2. Hyunsik Kim & Sungho Tae & Pengfei Zheng & Geonuk Kang & Hanseung Lee, 2021. "Development of IoT-Based Particulate Matter Monitoring System for Construction Sites," IJERPH, MDPI, vol. 18(21), pages 1-15, November.
    3. Noor S. Baqer & A. S. Albahri & Hussein A. Mohammed & A. A. Zaidan & Rula A. Amjed & Abbas M. Al-Bakry & O. S. Albahri & H. A. Alsattar & Alhamzah Alnoor & A. H. Alamoodi & B. B. Zaidan & R. Q. Malik , 2022. "Indoor air quality pollutants predicting approach using unified labelling process-based multi-criteria decision making and machine learning techniques," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(4), pages 591-613, December.
    4. Karam M. Al-Obaidi & Mohataz Hossain & Nayef A. M. Alduais & Husam S. Al-Duais & Hossein Omrany & Amirhosein Ghaffarianhoseini, 2022. "A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective," Energies, MDPI, vol. 15(16), pages 1-32, August.
    5. Faraz Enayati Ahangar & Frank R. Freedman & Akula Venkatram, 2019. "Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
    6. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    7. Jagriti Saini & Maitreyee Dutta & Gonçalo Marques, 2020. "Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review," IJERPH, MDPI, vol. 17(14), pages 1-22, July.

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