Topological analysis of water distribution networks for optimal leak localization

Alves, Débora; Blesa, Joaquim; Duviella, E.; Rajaoarisoa, L.

doi:10.1088/1755-1315/1136/1/012043

Cited by 3 publications

(2 citation statements)

References 13 publications

(21 reference statements)

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“…The SCADA system includes multiple nodes distributed throughout the water intake, treatment, transport, storage, and distribution elements, such as water quality and temperature sensors, pressure and flow meters, etc. At the end of the WDN, we find smart water meters comparable to those in the electricity network [10].…”

Section: Data Acquisition In Water Distribution Networkmentioning

confidence: 79%

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

Blanco,

Del Alamo,

Dueñas

et al. 2024

Electronics

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The digital transformation of critical infrastructures, such as energy or water distribution systems, is essential for their smart management. Faster issue identification and smoother services enable better adaptation to consumers’ evolving demands. However, these large-scale infrastructures are often outdated. Their digital transformation is crucial to enable them to support societies. This process must be carefully planned, providing guidance that ensures that the data they rely on are dependable and that the system remains fully operational during the transition. This paper presents a formal model that supports reliable data acquisition in legacy critical infrastructures, facilitating their evolution towards a data-driven smart system. Our model provides the foundation for a flexible transformation process while generating dependable data for system management. We demonstrate the model’s applicability in a use case within the water distribution domain and discuss its benefits.

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Section: Data Acquisition In Water Distribution Networkmentioning

confidence: 79%

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

Blanco,

Del Alamo,

Dueñas

et al. 2024

Electronics

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“…Leaks are localized by considering the maximum correlation between the observed residuals and the different leak hypotheses using Eq. 20 [45].…”

Section: Sensitivity Matric Analysismentioning

confidence: 99%

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

Shabangu,

Hamam,

Jordaan

et al. 2023

JERA

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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 model-based 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.

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Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data

Li,

Liu,

Zhang

et al. 2024

Water Research

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Topological analysis of water distribution networks for optimal leak localization

Cited by 3 publications

References 13 publications

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

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

Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data

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