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

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...

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Autores principales: Marques, Gonçalo, Roque Ferreira, Cristina, Pitarma, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923863/
https://www.ncbi.nlm.nih.gov/pubmed/29690534
http://dx.doi.org/10.3390/ijerph15040821
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author Marques, Gonçalo
Roque Ferreira, Cristina
Pitarma, Rui
author_facet Marques, Gonçalo
Roque Ferreira, Cristina
Pitarma, Rui
author_sort Marques, Gonçalo
collection PubMed
description 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.
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spelling pubmed-59238632018-05-03 A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings Marques, Gonçalo Roque Ferreira, Cristina Pitarma, Rui Int J Environ Res Public Health Article 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. MDPI 2018-04-21 2018-04 /pmc/articles/PMC5923863/ /pubmed/29690534 http://dx.doi.org/10.3390/ijerph15040821 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marques, Gonçalo
Roque Ferreira, Cristina
Pitarma, Rui
A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
title A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
title_full A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
title_fullStr A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
title_full_unstemmed A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
title_short A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
title_sort system based on the internet of things for real-time particle monitoring in buildings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923863/
https://www.ncbi.nlm.nih.gov/pubmed/29690534
http://dx.doi.org/10.3390/ijerph15040821
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