Next Article in Journal
Pozzolanic Potential and Mechanical Performance of Wheat Straw Ash Incorporated Sustainable Concrete
Next Article in Special Issue
A Study on the Public Landscape Order of Xinye Village
Previous Article in Journal
Assessing the Opportunities and Challenges of Green Finance in Italy: An Analysis of the Biomass Production Sector
Previous Article in Special Issue
Performance Analysis of a Polling-Based Access Control Combining with the Sleeping Schema in V2I VANETs for Smart Cities
Open AccessArticle

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

1
Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, J. K. Chodkiewicza Street 30, 85-064 Bydgoszcz, Poland
2
Center of IT applications in environmental engineering, Systems Research Institute of Polish Academy of Sciences, 01-447 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(2), 518; https://doi.org/10.3390/su11020518
Received: 27 November 2018 / Revised: 12 January 2019 / Accepted: 14 January 2019 / Published: 19 January 2019
  |  
PDF [1235 KB, uploaded 19 January 2019]
  |  

Abstract

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. View Full-Text
Keywords: water supply networks; network modelling; leak detection; artificial neural networks water supply networks; network modelling; leak detection; artificial neural networks
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Rojek, I.; Studzinski, J. 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. Sustainability 2019, 11, 518.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top