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An Internet of Things Platform for Air Station Remote Sensing and Smart Monitoring

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URI: http://hdl.handle.net/10498/24829

DOI: 10.32604/csse.2020.35.005

ISSN: 0267-6192

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Author/s
Corral Plaza, David JoséAuthority UCA; Boubeta Puig, JuanAuthority UCA; Ortiz Bellot, GuadalupeAuthority UCA; García de Prado Fontela, AlfonsoAuthority UCA
Date
2020
Department
Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores; Ingeniería Informática
Source
Computer Systems Science and Engineering Vol. 35, no.1, pp. 5–12
Abstract
Air pollution is currently receiving more attention by international governments and organizations. Nevertheless, current systems for air quality monitoring lack essential requirements which are key in order to be effective concerning users’ access to the information and efficient regarding real-time monitoring and notification. This paper presents an Internet of Things platform for air station remote sensing and smart monitoring that combines Big Data and Cloud Computing paradigms to process and correlate air pollutant concentrations coming from multiple remote stations, as well as to trigger automatic and personalized alerts when a health risk for their particular context is detected. This platform has been tested by analyzing the results of observing Andalusian, South of Spain, sensor network during a long period of time. The results show that this novel solution can help to reduce the impact of air pollution on human health since citizens are alerted in real time.
Subjects
Air quality; Environmental Monitoring; Remote sensing; Internet of Things
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  • Artículos Científicos [4821]
  • Articulos Científicos Ing. Inf. [134]
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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