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Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies
This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038467/ https://www.ncbi.nlm.nih.gov/pubmed/32012932 http://dx.doi.org/10.3390/s20030720 |
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author | Marques, Gonçalo Miranda, Nuno Kumar Bhoi, Akash Garcia-Zapirain, Begonya Hamrioui, Sofiane de la Torre Díez, Isabel |
author_facet | Marques, Gonçalo Miranda, Nuno Kumar Bhoi, Akash Garcia-Zapirain, Begonya Hamrioui, Sofiane de la Torre Díez, Isabel |
author_sort | Marques, Gonçalo |
collection | PubMed |
description | This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides real-time identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality. |
format | Online Article Text |
id | pubmed-7038467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70384672020-03-09 Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies Marques, Gonçalo Miranda, Nuno Kumar Bhoi, Akash Garcia-Zapirain, Begonya Hamrioui, Sofiane de la Torre Díez, Isabel Sensors (Basel) Article This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides real-time identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality. MDPI 2020-01-28 /pmc/articles/PMC7038467/ /pubmed/32012932 http://dx.doi.org/10.3390/s20030720 Text en © 2020 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 Miranda, Nuno Kumar Bhoi, Akash Garcia-Zapirain, Begonya Hamrioui, Sofiane de la Torre Díez, Isabel Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies |
title | Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies |
title_full | Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies |
title_fullStr | Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies |
title_full_unstemmed | Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies |
title_short | Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies |
title_sort | internet of things and enhanced living environments: measuring and mapping air quality using cyber-physical systems and mobile computing technologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038467/ https://www.ncbi.nlm.nih.gov/pubmed/32012932 http://dx.doi.org/10.3390/s20030720 |
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