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Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks †

Discovering very small water leaks at the household level is one of the most challenging goals of smart metering. While many solutions for sudden leakage detection have been proposed to date, the small leaks are still giving researchers a hard time. Even if some devices can be found on the market, t...

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Autores principales: Carratù, Marco, Dello Iacono, Salvatore, Di Leo, Giuseppe, Liguori, Consolatina, Pietrosanto, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588102/
https://www.ncbi.nlm.nih.gov/pubmed/34770557
http://dx.doi.org/10.3390/s21217251
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author Carratù, Marco
Dello Iacono, Salvatore
Di Leo, Giuseppe
Liguori, Consolatina
Pietrosanto, Antonio
author_facet Carratù, Marco
Dello Iacono, Salvatore
Di Leo, Giuseppe
Liguori, Consolatina
Pietrosanto, Antonio
author_sort Carratù, Marco
collection PubMed
description Discovering very small water leaks at the household level is one of the most challenging goals of smart metering. While many solutions for sudden leakage detection have been proposed to date, the small leaks are still giving researchers a hard time. Even if some devices can be found on the market, their capability to detect a water leakage barely reaches the sensitivity of the employed mechanical water meter, which was not designed for detecting small water leakages. This paper proposes a technique for improving the sensitivity of the mechanical register water meters. By implementing this technique in a suitable electronic add-on device, the improved sensitivity could detect very small leaks. This add-on device continuously acquires the mechanical register’s digital images and, thanks to suitable image processing techniques and metrics, allows very small flows to be detected even if lower than the meter starting flow rate. Experimental tests were performed on two types of mechanical water meters, multijet and piston, whose starting flow rates are 8 L/h and 1 L/h, respectively. Results were very interesting in the leakage range of [1.0, 10.0] L/h for the multijet and even in the range [0.25, 1.00] L/h for the piston meter.
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spelling pubmed-85881022021-11-13 Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks † Carratù, Marco Dello Iacono, Salvatore Di Leo, Giuseppe Liguori, Consolatina Pietrosanto, Antonio Sensors (Basel) Article Discovering very small water leaks at the household level is one of the most challenging goals of smart metering. While many solutions for sudden leakage detection have been proposed to date, the small leaks are still giving researchers a hard time. Even if some devices can be found on the market, their capability to detect a water leakage barely reaches the sensitivity of the employed mechanical water meter, which was not designed for detecting small water leakages. This paper proposes a technique for improving the sensitivity of the mechanical register water meters. By implementing this technique in a suitable electronic add-on device, the improved sensitivity could detect very small leaks. This add-on device continuously acquires the mechanical register’s digital images and, thanks to suitable image processing techniques and metrics, allows very small flows to be detected even if lower than the meter starting flow rate. Experimental tests were performed on two types of mechanical water meters, multijet and piston, whose starting flow rates are 8 L/h and 1 L/h, respectively. Results were very interesting in the leakage range of [1.0, 10.0] L/h for the multijet and even in the range [0.25, 1.00] L/h for the piston meter. MDPI 2021-10-30 /pmc/articles/PMC8588102/ /pubmed/34770557 http://dx.doi.org/10.3390/s21217251 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Carratù, Marco
Dello Iacono, Salvatore
Di Leo, Giuseppe
Liguori, Consolatina
Pietrosanto, Antonio
Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks †
title Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks †
title_full Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks †
title_fullStr Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks †
title_full_unstemmed Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks †
title_short Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks †
title_sort image processing technique for improving the sensitivity of mechanical register water meters to very small leaks †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588102/
https://www.ncbi.nlm.nih.gov/pubmed/34770557
http://dx.doi.org/10.3390/s21217251
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