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A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems
A smart, safe, and efficient management of water is fundamental for both developed and developing countries. Several wireless sensor networks have been proposed for real-time monitoring of drinking water quantity and quality, both in the environment and in pipelines. However, surface fouling signifi...
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/PMC7070842/ https://www.ncbi.nlm.nih.gov/pubmed/32092984 http://dx.doi.org/10.3390/s20041125 |
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author | Carminati, Marco Turolla, Andrea Mezzera, Lorenzo Di Mauro, Michele Tizzoni, Marco Pani, Gaia Zanetto, Francesco Foschi, Jacopo Antonelli, Manuela |
author_facet | Carminati, Marco Turolla, Andrea Mezzera, Lorenzo Di Mauro, Michele Tizzoni, Marco Pani, Gaia Zanetto, Francesco Foschi, Jacopo Antonelli, Manuela |
author_sort | Carminati, Marco |
collection | PubMed |
description | A smart, safe, and efficient management of water is fundamental for both developed and developing countries. Several wireless sensor networks have been proposed for real-time monitoring of drinking water quantity and quality, both in the environment and in pipelines. However, surface fouling significantly affects the long-term reliability of pipes and sensors installed in-line. To address this relevant issue, we presented a multi-parameter sensing node embedding a miniaturized slime monitor able to estimate the micrometric thickness and type of slime. The measurement of thin deposits in pipes is descriptive of water biological and chemical stability and enables early warning functions, predictive maintenance, and more efficient management processes. After the description of the sensing node, the related electronics, and the data processing strategies, we presented the results of a two-month validation in the field of a three-node pilot network. Furthermore, self-powering by means of direct energy harvesting from the water flowing through the sensing node was also demonstrated. The robustness and low cost of this solution enable its upscaling to larger monitoring networks, paving the way to water monitoring with unprecedented spatio-temporal resolution. |
format | Online Article Text |
id | pubmed-7070842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70708422020-03-19 A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems Carminati, Marco Turolla, Andrea Mezzera, Lorenzo Di Mauro, Michele Tizzoni, Marco Pani, Gaia Zanetto, Francesco Foschi, Jacopo Antonelli, Manuela Sensors (Basel) Article A smart, safe, and efficient management of water is fundamental for both developed and developing countries. Several wireless sensor networks have been proposed for real-time monitoring of drinking water quantity and quality, both in the environment and in pipelines. However, surface fouling significantly affects the long-term reliability of pipes and sensors installed in-line. To address this relevant issue, we presented a multi-parameter sensing node embedding a miniaturized slime monitor able to estimate the micrometric thickness and type of slime. The measurement of thin deposits in pipes is descriptive of water biological and chemical stability and enables early warning functions, predictive maintenance, and more efficient management processes. After the description of the sensing node, the related electronics, and the data processing strategies, we presented the results of a two-month validation in the field of a three-node pilot network. Furthermore, self-powering by means of direct energy harvesting from the water flowing through the sensing node was also demonstrated. The robustness and low cost of this solution enable its upscaling to larger monitoring networks, paving the way to water monitoring with unprecedented spatio-temporal resolution. MDPI 2020-02-19 /pmc/articles/PMC7070842/ /pubmed/32092984 http://dx.doi.org/10.3390/s20041125 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 Carminati, Marco Turolla, Andrea Mezzera, Lorenzo Di Mauro, Michele Tizzoni, Marco Pani, Gaia Zanetto, Francesco Foschi, Jacopo Antonelli, Manuela A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems |
title | A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems |
title_full | A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems |
title_fullStr | A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems |
title_full_unstemmed | A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems |
title_short | A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems |
title_sort | self-powered wireless water quality sensing network enabling smart monitoring of biological and chemical stability in supply systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070842/ https://www.ncbi.nlm.nih.gov/pubmed/32092984 http://dx.doi.org/10.3390/s20041125 |
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