Model-Based Approach for Leak Detection and Localization in Water Distribution Networks: A Literature Survey

被引:1
|
作者
Thabane, Shabangu H. [1 ]
Hamam, Yskandar [1 ,2 ]
Jaco, Jordaan A. [1 ]
Kazeem, Adedeji B. [1 ]
机构
[1] Tshwane Univ Technol, Dept Elect Engn, ZA-0001 Pretoria, South Africa
[2] ESIEE Paris, Cite Descartes, BP 99, F-93162 Paris, France
关键词
Hydraulic model; leak detection; localization; model-driven; water loss; water; distribution networks; DISTRIBUTION-SYSTEMS; PRESSURE; SENSOR; PIPES; MANAGEMENT; REDUCTION; BEHAVIOR; LOSSES; CRACKS;
D O I
10.4028/p-r2lbNg
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Water loss poses a significant problem for water utilities and has received a lot of attention. To fulfill the increasing global demand for water, water supply system operations must be streamlined, making leak detection and location crucial. Water utilities have developed a number of techniques over time for finding leaks in water distribution networks (WDNs). These methodologies range from simple visual inspection to the use of hardware systems and now software using models and algorithms. Data from flow or pressure measurements, which are required for the analysis of water networks, is becoming more readily available with the introduction of intelligent sensor devices. Along with the introduction of geographic information systems (GIS) and supervisory control and data acquisition (SCADA) in the water sector, the deployment of model-driven methodologies for leak detection and localization has found extensive use. This paper aims to provide a concise introductory reference for early researchers in the development of a model-based approach for leak detection in WDNs. Thus, a survey of modelbased approaches is presented, along with current research trends and applications of model-driven methodologies for leak detection in water supply networks. Several model-driven approaches and research studies for each case are discussed. Some challenges and research gaps are also discussed.
引用
收藏
页码:159 / 188
页数:30
相关论文
共 50 条
  • [31] Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks
    Rajabi, Mohammad Mahdi
    Komeilian, Pooya
    Wan, Xi
    Farmani, Raziyeh
    WATER RESEARCH, 2023, 238
  • [32] Leak Detection Methods in Water Distribution Networks: A Comparative Survey on Artificial Intelligence Applications
    Kammoun, Maryam
    Kammoun, Amina
    Abid, Mohamed
    JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2022, 13 (03)
  • [33] A Model-Based Approach for Outlier Detection in Sensor Networks
    Ding, Min
    Liang, Qilian
    Cheng, Xiuzhen
    Al-Rodhaan, Mznah
    Al-Dhelaan, Abdullah
    Huang, Scott C. -H.
    Chen, Dechang
    AD HOC & SENSOR WIRELESS NETWORKS, 2011, 12 (3-4) : 275 - 293
  • [34] Pressure-Leak Duality for Leak Detection and Localization in Water Distribution Systems
    Steffelbauer, David B.
    Deuerlein, Jochen
    Gilbert, Denis
    Abraham, Edo
    Piller, Olivier
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2022, 148 (03)
  • [35] Leak Localization in Water Distribution Networks using Deep Learning
    Javadiha, Mohammadreza
    Blesa, Joaquim
    Soldevila, Adria
    Puig, Vicenc
    2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019), 2019, : 1426 - 1431
  • [36] Leak localization in water distribution networks using Bayesian classifiers
    Soldevila, Adria
    Fernandez-Canti, Rosa M.
    Blesa, Joaquim
    Tornil-Sin, Sebastian
    Puig, Vicenc
    JOURNAL OF PROCESS CONTROL, 2017, 55 : 1 - 9
  • [37] Efficient model-based leak detection in boiler steam-water systems
    Sun, X
    Chen, TW
    Marquez, HJ
    COMPUTERS & CHEMICAL ENGINEERING, 2002, 26 (11) : 1643 - 1647
  • [38] Model-based approach for cyber-physical attack detection in water distribution systems
    Housh, Mashor
    Ohar, Ziv
    WATER RESEARCH, 2018, 139 : 132 - 143
  • [39] Compressed sensing based optimal sensor placement for leak localization in water distribution networks
    Xie, Xiang
    Zhou, Quan
    Hou, Dibo
    Zhang, Hongjian
    JOURNAL OF HYDROINFORMATICS, 2018, 20 (06) : 1286 - 1295
  • [40] Sampling design for leak detection in water distribution networks
    Gamboa-Medina, Maria Mercedes
    Ribeiro Reis, Luisa Fernanda
    XVIII INTERNATIONAL CONFERENCE ON WATER DISTRIBUTION SYSTEMS, WDSA2016, 2017, 186 : 460 - 469