Sensor Placement Strategy to Localize Leaks in Water Distribution Networks with Fluctuating Minimum Night Flow

2021 ◽  
Author(s):  
Ary Mazharuddin Shiddiqi ◽  
Deddy Aditya Pramana ◽  
Ervin Nurhayati ◽  
Agus Budi Raharjo
Keyword(s):  
Water Distribution ◽  
Sensor Placement ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Minimum Night Flow

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.

scholarly journals Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection

2018 ◽  
Vol 108 ◽  
pp. 152-162 ◽  
Author(s):  
Adrià Soldevila ◽  
Joaquim Blesa ◽  
Sebastian Tornil-Sin ◽  
Rosa M. Fernandez-Canti ◽  
Vicenç Puig
Keyword(s):  
Feature Selection ◽  
Water Distribution ◽  
Sensor Placement ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Leak Localization

scholarly journals Compressed sensing based optimal sensor placement for leak localization in water distribution networks

2017 ◽  
Vol 20 (6) ◽  
pp. 1286-1295 ◽  
Author(s):  
Xiang Xie ◽  
Quan Zhou ◽  
Dibo Hou ◽  
Hongjian Zhang
Keyword(s):  
Compressed Sensing ◽  
Knapsack Problem ◽  
Water Distribution ◽  
Sensor Placement ◽  
Real Life ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Mutual Coherence ◽  
Optimal Sensor Placement ◽  
Leak Localization

Abstract The performance of model-based leak detection and localization techniques heavily depends on the configuration of a limited number of sensors. This paper presents a sensor placement optimization strategy that guarantees sufficient diagnosability while satisfying the budget constraint. Based on the theory of compressed sensing, the leak localization problem could be transformed into acquiring the sparse leak-induced demands from the available measurements, and the average mutual coherence is devised as a diagnosability criterion for evaluating whether the measurements contain enough information for identifying the potential leaks. The optimal sensor placement problem is then reformulated as a {0, 1} quadratic knapsack problem, seeking an optimal sensor placement scheme by minimizing the average mutual coherence to maximize the degree of diagnosability. To effectively handle the complicated real-life water distribution networks, a validated binary version of artificial bee colony algorithm enhanced by genetic operators, including crossover and swap, is introduced to solve the binary knapsack problem. The proposed strategy is illustrated and validated through a real-life water distribution network with synthetically generated field data.

scholarly journals Adaptive water distribution networks with dynamically reconfigurable topology

2014 ◽  
Vol 16 (6) ◽  
pp. 1280-1301 ◽  
Author(s):  
Robert Wright ◽  
Ivan Stoianov ◽  
Panos Parpas ◽  
Kevin Henderson ◽  
John King
Keyword(s):  
High Speed ◽  
Water Distribution ◽  
Large Scale ◽  
Pressure Control ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Incident Management ◽  
Major Drawback ◽  
Dynamically Reconfigurable ◽  
Minimum Night Flow

This paper presents a novel concept of adaptive water distribution networks with dynamically reconfigurable topology for optimal pressure control, leakage management and improved system resilience. The implementation of District Meter Areas (DMAs) has greatly assisted water utilities in reducing leakage. DMAs segregate water networks into small areas, the flow in and out of each area is monitored and thresholds are derived from the minimum night flow to trigger the leak localization. A major drawback of the DMA approach is the reduced redundancy in network connectivity which has a severe impact on network resilience, incident management and water quality deterioration. The presented approach for adaptively reconfigurable networks integrates the benefits of DMAs for managing leakage with the advantages of large-scale looped networks for increased redundancy in connectivity, reliability and resilience. Self-powered multi-function network controllers are designed and integrated with novel telemetry tools for high-speed time-synchronized monitoring of the dynamic hydraulic conditions. A computationally efficient and robust optimization method based on sequential convex programming is developed and applied for the dynamic topology reconfiguration and pressure control of water distribution networks. An investigation is carried out using an operational network to evaluate the implementation and benefits of the proposed method.

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