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Research Article | Open Access

Intelligent management method for gas pipeline network based on topological logic

Beijing Gas Group Company Limited, Beijing, China
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Abstract

With the rapid advancement of urbanization in China, the gas pipeline network, as a key energy transmission and distribution system, plays an important role in the urban gas industry chain because of its multipressure level pipeline network architecture. In recent years, it has been continuously developed and widely expanded. Moreover, the urban gas pipeline network architecture presents a high degree of complexity due to its large scale, complex layout structure, and numerous pipeline flows, which introduces many risks to the operation of the pipeline network. This article proposes a smart control method for gas pipeline networks that is based on topological logic. By defining the nodes at all levels of the gas pipeline network and using complex network theory as the basis, a gas pipeline network topology model and a gas pipeline network node importance evaluation model are comprehensively constructed on the basis of dynamic and static data. Multiple evaluation methods, such as degree centrality and betweenness centrality, are used to calculate the importance of the complex network structure of gas pipeline network nodes. Various key attributes, such as the node topology structure and gas supply importance, are comprehensively considered to evaluate the importance of nodes, identify and separate key nodes in the gas pipeline network, and start pipeline network scheduling and precise monitoring and maintenance from key points to ensure the safe operation of the urban gas pipeline network.

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Safety Emergency Science
Article number: 9590014

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Cite this article:
Zhang M. Intelligent management method for gas pipeline network based on topological logic. Safety Emergency Science, 2025, 1(3): 9590014. https://doi.org/10.26599/SES.2025.9590014

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Received: 21 May 2025
Revised: 22 July 2025
Accepted: 28 July 2025
Published: 24 December 2025
© The Author(s) 2025.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/).