Cargando…

Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis

In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem....

Descripción completa

Detalles Bibliográficos
Autores principales: Strigaro, Daniele, Cannata, Massimiliano, Antonovic, Milan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427580/
https://www.ncbi.nlm.nih.gov/pubmed/30857141
http://dx.doi.org/10.3390/s19051185
_version_ 1783405243287994368
author Strigaro, Daniele
Cannata, Massimiliano
Antonovic, Milan
author_facet Strigaro, Daniele
Cannata, Massimiliano
Antonovic, Milan
author_sort Strigaro, Daniele
collection PubMed
description In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem. This research quantitatively evaluates the data quality of a non-conventional, low-cost and fully open system. The proposed novel solution was tested for a duration of 8 months, and the collected observations were compared with a nearby authoritative weather station. The experimental weather station is based in Arduino and transmits data through the 2G General Packet Radio Service (GPRS) to the istSOS which is a software to set-up a web service to collect, share and manage observations from sensor networks using the Sensor Observation Service (SOS) standard of the Open Geospatial Consortium (OGC). The results demonstrated that this accessible solution produces data of appropriate quality for natural resource and risk management.
format Online
Article
Text
id pubmed-6427580
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-64275802019-04-15 Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis Strigaro, Daniele Cannata, Massimiliano Antonovic, Milan Sensors (Basel) Article In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem. This research quantitatively evaluates the data quality of a non-conventional, low-cost and fully open system. The proposed novel solution was tested for a duration of 8 months, and the collected observations were compared with a nearby authoritative weather station. The experimental weather station is based in Arduino and transmits data through the 2G General Packet Radio Service (GPRS) to the istSOS which is a software to set-up a web service to collect, share and manage observations from sensor networks using the Sensor Observation Service (SOS) standard of the Open Geospatial Consortium (OGC). The results demonstrated that this accessible solution produces data of appropriate quality for natural resource and risk management. MDPI 2019-03-08 /pmc/articles/PMC6427580/ /pubmed/30857141 http://dx.doi.org/10.3390/s19051185 Text en © 2019 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
Strigaro, Daniele
Cannata, Massimiliano
Antonovic, Milan
Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis
title Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis
title_full Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis
title_fullStr Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis
title_full_unstemmed Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis
title_short Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis
title_sort boosting a weather monitoring system in low income economies using open and non-conventional systems: data quality analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427580/
https://www.ncbi.nlm.nih.gov/pubmed/30857141
http://dx.doi.org/10.3390/s19051185
work_keys_str_mv AT strigarodaniele boostingaweathermonitoringsysteminlowincomeeconomiesusingopenandnonconventionalsystemsdataqualityanalysis
AT cannatamassimiliano boostingaweathermonitoringsysteminlowincomeeconomiesusingopenandnonconventionalsystemsdataqualityanalysis
AT antonovicmilan boostingaweathermonitoringsysteminlowincomeeconomiesusingopenandnonconventionalsystemsdataqualityanalysis