scholarly journals Optimal Pressure Sensor Placement in Water Distribution Networks Minimizing Leak Location Uncertainty

2015 ◽  
Vol 119 ◽  
pp. 953-962 ◽  
Author(s):  
Fatiha Nejjari ◽  
Ramon Sarrate ◽  
Joaquim Blesa
Keyword(s):  
Pressure Sensor ◽  
Water Distribution ◽  
Sensor Placement ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Location Uncertainty ◽  
Leak Location

scholarly journals Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms

Sensors ◽  
2013 ◽  
Vol 13 (11) ◽  
pp. 14984-15005 ◽  
Author(s):  
Myrna Casillas ◽  
Vicenҫ Puig ◽  
Luis Garza-Castañón ◽  
Albert Rosich
Keyword(s):  
Genetic Algorithms ◽  
Water Distribution ◽  
Sensor Placement ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Optimal Sensor Placement ◽  
Leak Location

Pressure sensor placement in water distribution networks for leak detection using a hybrid information-entropy approach

2020 ◽  
Vol 516 ◽  
pp. 56-71 ◽  
Author(s):  
Mohammad Sadegh Khorshidi ◽  
Mohammad Reza Nikoo ◽  
Narges Taravatrooy ◽  
Mojtaba Sadegh ◽  
Malik Al-Wardy ◽  
...  
Keyword(s):  
Information Entropy ◽  
Pressure Sensor ◽  
Water Distribution ◽  
Sensor Placement ◽  
Leak Detection ◽  
Distribution Networks ◽  
Water Distribution Networks

scholarly journals Pressure Sensor Placement for Leak Localization in Water Distribution Networks Using Information Theory

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 443
Author(s):  
Ildeberto Santos-Ruiz ◽  
Francisco-Ronay López-Estrada ◽  
Vicenç Puig ◽  
Guillermo Valencia-Palomo ◽  
Héctor-Ricardo Hernández
Keyword(s):  
Information Theory ◽  
Pressure Sensor ◽  
Water Distribution ◽  
Sensor Placement ◽  
Computational Cost ◽  
Pressure Sensors ◽  
Distribution Networks ◽  
Sensor Nodes ◽  
Water Distribution Networks ◽  
Software Application

This paper presents a method for optimal pressure sensor placement in water distribution networks using information theory. The criterion for selecting the network nodes where to place the pressure sensors was that they provide the most useful information for locating leaks in the network. Considering that the node pressures measured by the sensors can be correlated (mutual information), a subset of sensor nodes in the network was chosen. The relevance of information was maximized, and information redundancy was minimized simultaneously. The selection of the nodes where to place the sensors was performed on datasets of pressure changes caused by multiple leak scenarios, which were synthetically generated by simulation using the EPANET software application. In order to select the optimal subset of nodes, the candidate nodes were ranked using a heuristic algorithm with quadratic computational cost, which made it time-efficient compared to other sensor placement algorithms. The sensor placement algorithm was implemented in MATLAB and tested on the Hanoi network. It was verified by exhaustive analysis that the selected nodes were the best combination to place the sensors and detect leaks.

scholarly journals Robust sensor placement for leak location: analysis and design

2015 ◽  
Vol 18 (1) ◽  
pp. 136-148 ◽  
Author(s):  
Joaquim Blesa ◽  
Fatiha Nejjari ◽  
Ramon Sarrate
Keyword(s):  
Water Distribution ◽  
Sensor Placement ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Matrix Analysis ◽  
Sensitivity Matrix ◽  
Placement Problem ◽  
Analysis And Design ◽  
Leak Location

In this paper, a nominal sensor placement methodology for leak location in water distribution networks is presented. To reduce the size and the complexity of the optimization problem a clustering technique is combined with the nominal sensor placement methodology. Some of the pressure sensor placement methods for leak detection and location in water distribution networks are based on the pressure sensitivity matrix analysis. This matrix depends on the network demands, which are nondeterministic, and the leak magnitudes, that are unknown. The robustness of the nominal sensor placement methodology is investigated against the fault sensitivity matrix uncertainty. Providing upon the dependency of the leak location procedure on the network operating point, the nominal sensor placement problem is then reformulated as a multi-objective optimization for which Pareto optimal solutions are generated. The robustness study as well as the resulting robust sensor placement methodology are illustrated by means of a small academic network as well as a district metered area in the Barcelona water distribution network.

scholarly journals Optimal Water Quality Sensor Placement by Accounting for Possible Contamination Events in Water Distribution Networks

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 1999
Author(s):  
Malvin S. Marlim ◽  
Doosun Kang
Keyword(s):  
Water Quality ◽  
Water Distribution ◽  
Sensor Placement ◽  
Pso Algorithm ◽  
Distribution Networks ◽  
Fair Value ◽  
Water Distribution Networks ◽  
Optimization Approach ◽  
Protection Measure ◽  
Contamination Events

Contamination in water distribution networks (WDNs) can occur at any time and location. One protection measure in WDNs is the placement of water quality sensors (WQSs) to detect contamination and provide information for locating the potential contamination source. The placement of WQSs in WDNs must be optimally planned. Therefore, a robust sensor-placement strategy (SPS) is vital. The SPS should have clear objectives regarding what needs to be achieved by the sensor configuration. Here, the objectives of the SPS were set to cover the contamination event stages of detection, consumption, and source localization. As contamination events occur in any form of intrusion, at any location and time, the objectives had to be tested against many possible scenarios, and they needed to reach a fair value considering all scenarios. In this study, the particle swarm optimization (PSO) algorithm was selected as the optimizer. The SPS was further reinforced using a databasing method to improve its computational efficiency. The performance of the proposed method was examined by comparing it with a benchmark SPS example and applying it to DMA-sized, real WDNs. The proposed optimization approach improved the overall fitness of the configuration by 23.1% and showed a stable placement behavior with the increase in sensors.

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