Vibration-based water leakage detection system for public open data platforms

Water Distribution Networks are known to lose a consistent percentage of drinkable water due to the presence of leakages. In this paper it is proposed a solution to detect water leaks consisting of: i) a new sensing equipment able to acoustically monitor the external surface of a newly laid undergro...

Full description

Saved in:

Bibliographic Details
Published in:	International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLVIII-4/W10-2024; pp. 71 - 76
Main Authors:	Giaconia, Giuseppe Costantino, Lo Valvo, Fulvio, Ladjery, Karim, Di Puma, Francesco, Falla, Josè, Christou, Ioannis T., Soldatos, John, Papadakis, Thanasis, Popunkiov, Boian, Alexieva, Daniela, Raykov, Dian
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Gottingen Copernicus GmbH 31-05-2024 Copernicus Publications
Subjects:	Accelerometers Archives & records Drinking water Leak detection Machine learning Microelectromechanical systems Open data Pipes Sensors Smart cities Vibration Water distribution Water engineering Water pipes Water supply
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Water Distribution Networks are known to lose a consistent percentage of drinkable water due to the presence of leakages. In this paper it is proposed a solution to detect water leaks consisting of: i) a new sensing equipment able to acoustically monitor the external surface of a newly laid underground pipe; ii) a training of several machine learning models able to analyse the data collected by the new sensing equipment; iii) a user dashboard to give the final user the possibility to monitor the pipe’s condition. The research process included the generation of artificial leakages capable to produce a suitable dataset necessary to properly train machine learning models onto.
ISSN:	2194-9034 1682-1750 2194-9034
DOI:	10.5194/isprs-archives-XLVIII-4-W10-2024-71-2024