Detection and localization of water leaks in water nets supported by an ICT system with artificial intelligence methods as a way forward for smart cities
Open accessAbstract
The last decade has seen the development of complex IT systems to support city management, i.e., the creation of so-called intelligent cities. These systems include modules dedicated to particular branches of municipal economy, such as urban transport, heating systems, energy systems, telecommunications, and finally water and sewage management. In turn, with regard to the latter branch, IT systems supporting the management of water supply and sewage networks and sewage treatment plants are being developed. This paper deals with the system concerning the urban water supply network, and in particular, with the subsystem for detecting and locating leakages on the water supply network, including so-called hidden leakages. These leaks cause the greatest water losses in networks, especially in old ones, with a very diverse age and material structure. In the proposed concept of the subsystem consisting of a GIS (Geographical Information System), SCADA (Supervisory Control and Data Acquisition) system and hydraulic model of the water supply network, an algorithm of leak detection and location based on the neural networks’ MLP (multi-layer perceptron) and Kohonen was developed. The algorithm has been tested on the hydraulic models of several municipal water supply networks.
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ML models and techniques have been applied to hydro-meteorological forecasting and leak detection.
“These models and techniques have also been applied to hydro-meteorological forecasting and leak detection [[165], [166], [167]].”
From Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2024) · cites this paper as [167]
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- Authors
- Rojek, I., & Studzinski, J.
- Affiliations
- Kazimierz Wielki University in Bydgoszcz (PL)
- Center of IT applications in environmental engineering, Systems Research Institute of Polish Academy of Sciences, 01-447 Warsaw, Poland
- ORCID
- Rojek, Izabela
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2019-01-19
- Volume
- 11
- Issue
- 2
- Pages
- 518
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W2909081203
- Cited by
- 91
- References
- 12
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 10 · 2023: 15 · 2022: 21 · 2021: 11 · 2020: 12 · 2019: 4
- FWCI
- 8.98
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Water Systems and Optimization
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Water management and technologies
- Keywords
- water leakage detection, leak localization, water distribution systems, water loss, smart cities, artificial neural networks, multilayer perceptron, Kohonen neural network, hydraulic modeling, SCADA, geographic information systems, municipal water management
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