Task Scheduling Algorithm for Renovation Teams of Water Distribution Systems

Antonowicz, Ariel; Nowak, Mariusz; Urbaniak, Andrzej

doi:10.1109/iccc49264.2020.9257273

Cited by 1 publication

(4 citation statements)

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“…Moreover, this tool facilitates: hydraulic and water quality simulation, supplying a mixture of water from various sources to recipients, calculating the age of water throughout a system, tracking the spread of contamination, and specification of loss of chlorine residuals [16,17]. The water network tool for resilience (WNTR) is a Python package designed to simulate and analyze the resilience of the water distribution network [11,16,17,26]. Beyond the possibilities offered by EPANET, WNTR facilitates the modeling of untypical situations such as power outages, incidental contamination events, and pipe breaks, leaks modeling, earthquakes, etc.…”

Section: Methodsmentioning

confidence: 99%

“…The adjacency matrix is created based on the correlation of nodes and links. In the matrix, rows present the nodes, and the column represents the pipes [11,23]. If a given pipe (e.g.…”

Section: The Segment-finding Methods -Matrix Approachmentioning

confidence: 99%

“…Decision-makers and system developers should consider that the usefulness of this type of solution depends to a considerable extent on their coherence and integration with system handling failures [17]. The integration of the proposed approach with DSS or EWS directly determines the reliability of the results obtained [11,17]. Using the hydraulic model of the water distribution system and initial information on the algorithm return list of valves needed to be closed.…”

Section: Conclusion 51 General Thoughts -The Pros and Consmentioning

confidence: 99%

“…It should be remembered that each of these models has information such as current network topology, status, location of valves, and location and type of failure. Analyzing these cases would take an exceptionally long time despite the small size of the water supply network [11]. There are numerous solutions in the form of scripts, applications, or tools that facilitate the modeling of various conditions in the WDS.…”

Section: Introductionmentioning

confidence: 99%

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Bulletin of the Polish Academy of Sciences: Technical Sciences

Antonowicz

Urbaniak

2022

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The article discusses an example of the use of graph search algorithms with the trace of water analysis and aggregation of failures in the occurrence of a large number of failures in the water supply system (WSS). In the event of a disaster, based on the water distribution system (WDS) network model, information about detected failures, the condition and location of valves, the number of repair teams, criticality analysis, the coefficient of prioritization of individual network elements, and selected objective function, the algorithm proposes the order of repairing the failures. The approach proposed by the authors of the article assumes the selection of the following objective functions: minimizing the time of lack of access to drinking water (with or without prioritization) and minimizing failure repair time (with or without failure aggregation). The algorithm was tested on three different water networks (small, medium, and large numbers of nodes) and three different scenarios (different numbers of failures and valves in the water network) for each selected water network. The results were compared to a valve designation approach for closure using an adjacency matrix and a strategic valve management model (SVMM).

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Section: Methodsmentioning

confidence: 99%

“…The adjacency matrix is created based on the correlation of nodes and links. In the matrix, rows present the nodes, and the column represents the pipes [11,23]. If a given pipe (e.g.…”

Section: The Segment-finding Methods -Matrix Approachmentioning

confidence: 99%