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.
Highlights
IntroductionIn the context of the implementation of modern technologies (including ICT—Information and Communication Technology) the adjective “Smart” is becoming increasingly popular
In the context of the implementation of modern technologies the adjective “Smart” is becoming increasingly popular
We focus on the elimination of water losses, which in old water supply networks generate the highest operating costs
Summary
In the context of the implementation of modern technologies (including ICT—Information and Communication Technology) the adjective “Smart” is becoming increasingly popular. Management of the municipal water supply network is a complex task, in which three main objectives are fulfilled: ensuring proper water quality, ensuring proper pressure in the network user nodes, and elimination of water losses. We focus on the elimination of water losses, which in old water supply networks generate the highest operating costs. The third solution is quick detection and location of failures, including above all the so-called hidden leaks, which, when they occur, are not visible, because they rely on the leakage of water into the ground through the gaps created in impaired pipelines. Interesting research on leakage detection in water supply networks is presented in papers [2,3,4,5]. References [3,4] show further studies on leak detection using vibration monitoring and in Reference [5] the suitability of a non-intrusive pipeline surface vibration-based leak detection technique is either confirmed
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