Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project

Li Huimin; Li Feng; Zuo JianSun JiabinYuan ChenghuiJi LiMa YingYao Desheng

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Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project

机译：Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project

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Large-scale infrastructure operates in a complex and uncertain environment. When an unexpected safety accident occurs, efficient emergency decision-making plays a crucial role in safe operation. Case-based reasoning (CBR) provides an effective tool in emergency response decision-making. However, case retrieval efficiency and missing values for case attributes present significant challenges to CBR. Firstly, in this study, a unified framework representation method is constructed for accident cases of large-scale infrastructure. Secondly, an inductive indexing approach is used to preclassify cases according to key attributes of the cases in order to improve retrieval efficiency. Thirdly, this study proposes a two-layer integrated structure and attributes similarity algorithm based on the K-nearest neighbors (KNN) method in a bid to overcome the missing attribute values of the cases. Fourthly, the emergency decision-making system is developed for the large-scale infrastructure. Finally, a case study of the South-to-North Water Diversion Project in China is undertaken to verify the proposed methods and computing system. This study provides a valuable decision-making approach for operational safety-related emergency management of large-scale infrastructure.

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来源
《Journal of infrastructure systems》 |2022年第1期|4021051.1-4021051.16|共16页
作者
Li Huimin; Li Feng; Zuo JianSun JiabinYuan ChenghuiJi LiMa YingYao Desheng;
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North China Univ Water Resources & Elect Power, Dept Construct Engn & Management, Zhengzhou 450046, Peoples R China|Univ Adelaide, Ctr Asian & Middle Eastern Architecture, Sch Architecture & Built Environm, Adelaide, SA 5005, Australia;

North China Univ Water Resources & Elect Power, Dept Construct Engn & Management, Zhengzhou 450046, Peoples R China;

Univ Adelaide, Ctr Asian & Middle Eastern Architecture, Sch Architecture & Built Environm, Adelaide, SA 5005, AustraliaNorth China Univ Water Resources & Elect Power, Henan Key Lab Water Environm Simulat & Treatment, Zhengzhou 450046, Peoples R ChinaNorth China Univ Water Resources & Elect Power, Collaborat Innovat Ctr Water Resources Efficient, Zhengzhou 450046, Peoples R China;

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正文语种英语
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Large-scale infrastructure; Emergency management; Decision-making; Case-based reasoning (CBR); K-nearest neighbor algorithm;

Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project

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