Research on gas emergency assistance decision-making by integrating knowledge graph and case-based reasoning

Fire Science and Technology ›› 2024, Vol. 43 ›› Issue (2): 143-148.

Research on gas emergency assistance decision-making by integrating knowledge graph and case-based reasoning

Hu Yuling1,2, Wan Yurui2, Li Zixuan2, Qi Zichen3

(1. Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 2. Institute of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102016, China; 3. Beijing Gas Group, Beijing 100082, China)

Online:2024-02-15 Published:2024-02-15

Abstract

Abstract: A gas emergency decision-making method that integrates knowledge graph and case-based reasoning is proposed to address the difficulty of emergency response personnel searching for emergency response plans based on text data to meet the needs of scientific and rapid response in the current occurrence of gas accidents. Store and represent existing text data of gas accident cases in the form of a knowledge graph, propose a weighted calculation method for attribute similarity and relationship similarity in case reasoning, and based on the comprehensive similarity between the accident target case and the source case, retrieve the best similar source case as an important reference for emergency response decisions of on-site disposal personnel. Store new cases and disposal measures in the gas emergency response knowledge graph database, updated knowledge on implementation of disposal measures. The rationality and effectiveness of our method were verified through experiments such as case similarity weight allocation, attribute weight allocation, selection of attribute similarity methods, and case validation.

Key words: gas emergency, knowledge graph, case-based-reasoning, assistant decision

Hu Yuling, Wan Yurui, Li Zixuan, Qi Zichen. Research on gas emergency assistance decision-making by integrating knowledge graph and case-based reasoning[J]. Fire Science and Technology, 2024, 43(2): 143-148.

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Research on gas emergency assistance decision-making by integrating knowledge graph and case-based reasoning

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