Leakage Detection in Water Distribution Network Based on a New Heuristic Genetic Algorithm Model

Abstract

The leakage control is an important task, because it is associated with some problems such as economic loss, safety concerns, and environmental damages. The pervious methods which have already been devised for leakage detection are not only expensive and time consuming, but also have a low efficient. As a result, the global leakage detection methods such as leak detection based on simulation and calibration of the network have been considered recently. In this research, leak detection based on calibration in two hypothetical and a laboratorial networks is considered. Additionally a novel optimization method called step-by-step elimination method (SSEM) combining with a genetic algorithm (GA) is introduced to calibration and leakage detection in networks. This method step-by-step detects and eliminates the nodes that provide no contribution in leakage among uncertain parameters of calibration of a network. The proposed method initiates with an ordinary calibration for a studied network, follow by elimination of suspicious nodes among adjusted parameters, then, the network is re-calibrated. Finally the process is repeated until the numbers of unknown demands are equal to the desired numbers or the exact leakage locations and values are determined. These investigations illustrate the capability of this method for detecting the locations and sizes of leakages.

Energy and water quality management systems for water utility's operations: A review

“…Water leakage from aging infrastructure poses a challenge for water supplies, particularly in areas that are struggling to support the growing demand [Kanakoudis et al, 2013a;Kanakoudis et al, 2014]. The daily water loss through leakage, which is estimated to represent about 40%e 50% of the total daily water consumption [Tucciarelli et al, 1999], is associated to the waste of a large amount of energy [Nasirian et al, 2013].…”

Robust algorithm based on decimated Padè approximant technique for processing sensor data in leak detection in waterworks

“…DPA and DLP, and FDM are generally used in decaying systems where it is necessary to know the frequencies of radionuclide in exponentially damped process [23], but they are applied, here, for the first time in searching frequency peaks corresponding to leaks occurring in a pipeline. The viewpoint of the approach is different with respect to others using, for example genetic algorithms [24]. Concerning the findings of this research, one can clearly see the advantages of DPA e DLP for huge data to be processed with respect to FFT and FDM.…”

Water loss detection in water distribution networks by artificial immune systems-based on model calibration

“…Prasad [51] proposed a model using Clonal Selection Algorithm (Clonalg) to determine model parameters including nodal demands, pipe roughness values, valve closures, pump controls and valve settings. Nasirian et al [52] studied leak detection based on calibration in WDNs, and introduced a novel optimization method combining with GA to calibration and leakage detection in networks. In order to obtain model parameters in WDNs, model calibration process is optimized by minimizing the discrepancy between the model predicted and the field observed values of junction pressures and pipe flows under boundary conditions such as tank levels, control valve…”