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Inverse Optimization based Detection of Leaks from Simulated Pressure in Water Networks, Part 1: Analysis for a Single Leak
<span title="">2018</span>
<i title="Computational Hydraulics International">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ef22zgwudjaxvhmwui64szvide" style="color: black;">Journal of Water Management Modeling</a>
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The ability to easily detect leaks in water networks enables prompt repairs thereby reducing the duration of a leak. This study uses a minimization approach related to the Monte Carlo method to detect leakage in water networks that do not have continuous real time pressure-measuring systems, using a hydraulic model of the network. The model works very well in detecting leaks occurring in a gridded network while it performs below average for leaks occurring in branched areas. Reference pressures
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... are obtained by introducing a leak of known magnitude into the network model by changing the emitter coefficient of a reference node. Reference pressures are compared with several simulated pressures from randomly simulated leaks. The leaking node is found as the most frequent node-emitter-coefficient combination for which the objective function is minimised. A minimum of eight reference points is required for a leak to be detected in any part of the network.
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