Research on gas emergency assistance decision-making by integrating knowledge graph and case-based reasoning
A gas emergency decision-making method that inte-grates 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 acci-dent cases in the form of a knowledge graph,propose a weighted calculation method for attribute similarity and relationship similar-ity 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 dis-posal measures.The rationality and effectiveness of our method were verified through experiments such as case similarity weight allocation,attribute weight allocation,selection of attribute simi-larity methods,and case validation.
gas emergencyknowledge graphcase-based-reasoningassistant decision
万方数据
维普
