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...
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MDPI AG
2020-01-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/20/3/720 |
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author | Gonçalo Marques Nuno Miranda Akash Kumar Bhoi Begonya Garcia-Zapirain Sofiane Hamrioui Isabel de la Torre Díez |
author_facet | Gonçalo Marques Nuno Miranda Akash Kumar Bhoi Begonya Garcia-Zapirain Sofiane Hamrioui Isabel de la Torre Díez |
author_sort | Gonçalo Marques |
collection | DOAJ |
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. |
first_indexed | 2024-04-14T02:06:41Z |
format | Article |
id | doaj.art-3e59cb267aac4425b12fd53763108501 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T02:06:41Z |
publishDate | 2020-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-3e59cb267aac4425b12fd537631085012022-12-22T02:18:39ZengMDPI AGSensors1424-82202020-01-0120372010.3390/s20030720s20030720Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing TechnologiesGonçalo Marques0Nuno Miranda1Akash Kumar Bhoi2Begonya Garcia-Zapirain3Sofiane Hamrioui4Isabel de la Torre Díez5Polytechnic Institute of Guarda, 6300-559 Guarda, PortugalPolytechnic Institute of Guarda, 6300-559 Guarda, PortugalDepartment of Electrical & Electronics Engineering Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University (SMU), Sikkim, 737136 Majhitar, IndiaeVIDA research group, University of Deusto, Avda/Universidades 24, 48007 Bilbao, SpainPolytech School, University of Nantes, CNRS, IETR UMRS 6164, 85000 La Roche-sur-Yon, FranceDepartment of Signal Theory and Communications, and Telematics Engineering University of Valladolid 12 Paseo de Belén, 15, 47011 Valladolid, SpainThis 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.https://www.mdpi.com/1424-8220/20/3/720air qualityenhanced living environmentsinternet of thingsmobile computingmobile health |
spellingShingle | Gonçalo Marques Nuno Miranda Akash Kumar Bhoi Begonya Garcia-Zapirain Sofiane Hamrioui Isabel de la Torre Díez Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies Sensors air quality enhanced living environments internet of things mobile computing mobile health |
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 | air quality enhanced living environments internet of things mobile computing mobile health |
url | https://www.mdpi.com/1424-8220/20/3/720 |
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