Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/0B0EA07A-D63F-4083-9142-CB6CD49F45E9 | ||
| Year | 2023 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Evgenia Petrou, "Intelligent management system of water network data", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023 https://doi.org/10.26233/heallink.tuc.97613 | ||
| Appears in Collections |
In recent years, the threat of water shortage due to climate change and overexploitation driven by human activity has become more pronounced than ever. The pressing issue of water shortage appears to be a global concern, particularly during the summer months. Water is an essential resource for people, ecosystems, and life in general, so its prudent use and reduction of waste should be a top priority for all nations. One significant factor contributing to the wasteful consumption of water is the aging water supply networks in cities, which cause both visible and hidden leaks in the distribution network, leading to malfunctions. Therefore, in combination with rapid technological advancements, it is imperative to modernize the water supply systems of Greek municipalities and utilize innovative water management systems with leak detection capabilities. This thesis focuses on the implementation of an integrated smart data management system for water resources. It processes network data recorded by an installed telemetry network of digital water meters and sensors in various topological areas. The software is a web-based online application that collects data, simulates the hydraulics of each individual network using the EPANET program, and displays the digital twin of the actual network in a detailed web-based graphical environment. This digital platform will provide important information on key network parameters such as pressure, flow rates, consumption, and estimated leaks. This allows for direct interaction between the application's user and the system, enabling the identification of potential vulnerable sections of the network and the prevention of future faults and failures. Consequently, water losses are reduced, and water resources are conserved.
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