Abstract
Large volumes of water are wasted through leakage in water distribution networks, and early detection of leakages is important to minimize lost water. Pressure sensors can be placed in a network to detect changes in pressure that indicate the presence of a new leak. This study presents a new approach for placing a set of pressure sensors by creating a list of candidate locations based on sensitivity to leaks that are simulated at all potential nodes in a network. The selection of a set of sensors is explored for two objectives, which are the minimization of the number of sensors and the time of detection. The non-dominated sorting genetic algorithm (NSGA-II) is used to explore trade-offs between these objectives. The effect of measurement uncertainty on the selection of sensor locations is explored by identifying alternative non-dominated fronts for different values for sensor error. The evolutionary algorithm-based approach is applied and demonstrated for the C-Town water network.
Original language | English |
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Pages (from-to) | 223-239 |
Number of pages | 17 |
Journal | Journal of Hydroinformatics |
Volume | 21 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- Genetic algorithm
- Leak detection
- Nsga-II
- Pressure sensors
- Uncertainty
ASJC Scopus subject areas
- Civil and Structural Engineering
- Water Science and Technology
- Geotechnical Engineering and Engineering Geology
- Atmospheric Science