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

• 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
• DOI: 10.5194/isprs-archives-XLVIII-4-W10-2024-71-2024
• EISSN: 2194-9034
• ISSN: 2194-9034; 1682-1750

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.