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...

Full description

Bibliographic Details
Main Authors: Gonçalo Marques, Cristina Roque Ferreira, Rui Pitarma
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:http://www.mdpi.com/1660-4601/15/4/821
id doaj-9e1a065fc9df406aa85ed7406ff0f53c
record_format Article
spelling doaj-9e1a065fc9df406aa85ed7406ff0f53c2020-11-24T22:39:23ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012018-04-0115482110.3390/ijerph15040821ijerph15040821A System Based on the Internet of Things for Real-Time Particle Monitoring in BuildingsGonçalo Marques0Cristina Roque Ferreira1Rui Pitarma2Unit for Inland Development, Polytechnic Institute of Guarda, Avenida Doutor Francisco Sá Carneiro N° 50, 6300-559 Guarda, PortugalDepartment of Imagiology, Hospital Centre and University of Coimbra (CHUC), 3000-075 Coimbra, PortugalUnit for Inland Development, Polytechnic Institute of Guarda, Avenida Doutor Francisco Sá Carneiro N° 50, 6300-559 Guarda, PortugalOccupational 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 ≤PM10 (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 (PM10, PM2.5, and PM1.0). 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.http://www.mdpi.com/1660-4601/15/4/821indoor air quality (IAQ)healthy buildingsoccupational healthparticulate matter (PM)real-time monitoringinternet of things (IoT)
collection DOAJ
language English
format Article
sources DOAJ
author Gonçalo Marques
Cristina Roque Ferreira
Rui Pitarma
spellingShingle Gonçalo Marques
Cristina Roque Ferreira
Rui Pitarma
A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
International Journal of Environmental Research and Public Health
indoor air quality (IAQ)
healthy buildings
occupational health
particulate matter (PM)
real-time monitoring
internet of things (IoT)
author_facet Gonçalo Marques
Cristina Roque Ferreira
Rui Pitarma
author_sort Gonçalo Marques
title 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_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_sort system based on the internet of things for real-time particle monitoring in buildings
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2018-04-01
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 ≤PM10 (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 (PM10, PM2.5, and PM1.0). 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.
topic indoor air quality (IAQ)
healthy buildings
occupational health
particulate matter (PM)
real-time monitoring
internet of things (IoT)
url http://www.mdpi.com/1660-4601/15/4/821
work_keys_str_mv AT goncalomarques asystembasedontheinternetofthingsforrealtimeparticlemonitoringinbuildings
AT cristinaroqueferreira asystembasedontheinternetofthingsforrealtimeparticlemonitoringinbuildings
AT ruipitarma asystembasedontheinternetofthingsforrealtimeparticlemonitoringinbuildings
AT goncalomarques systembasedontheinternetofthingsforrealtimeparticlemonitoringinbuildings
AT cristinaroqueferreira systembasedontheinternetofthingsforrealtimeparticlemonitoringinbuildings
AT ruipitarma systembasedontheinternetofthingsforrealtimeparticlemonitoringinbuildings
_version_ 1725709104072097792