首页|KNOWLEDGE GRAPH-BASED DECISION MODEL FOR GAS PIPELINE EMERGENCY RESPONSE
KNOWLEDGE GRAPH-BASED DECISION MODEL FOR GAS PIPELINE EMERGENCY RESPONSE
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NETL
Facing the problems of complexity and variability of oil and gas pipeline accidents and difficulty in giving emergency decision points efficiently， an emergency decision-making method for gas pipeline accidents based on knowledge graph was proposed。 First of all， based on the evolutionary characteristics of oil and gas pipeline accidents， we built the model layer of oil and gas pipeline accident emergency knowledge map and construct the ontology model and conceptual framework of emergency knowledge map。 Then， the bidirectional long and short-term memory neural network-conditional random field algorithm model was used to extract entities and relationships from 343 oil and gas pipeline accident investigation reports to populate the data in the schema layer。 Then， the establishment of entity nodes and relationships was realized through the Neo4j graph database， and the oil and gas pipeline emergency response domain knowledge graph was constructed。 Finally， the recommendation and ranking of emergency decision points were realized by clustering the nodes and relations of oil and gas pipeline emergency response tasks， which improves the accuracy of the emergency decision process。 The method was applied to the Songyuan pipeline explosion accident in Jilin Province through example analysis。 The research results show that the method realizes the rapid generation of the points of the emergency response process for newly occurred accidents。 Compared with the accident investigation report， the recommended emergency response points supplement the original emergency response measures with countermeasures during the accident evolution process， combustible gas concentration monitoring， and emergency response upgrading， which further improves the emergency decision-making process。 This method not only effectively solves the contradiction that the current massive data in the field of oil and gas pipeline emergency response cannot provide decision support for emergency response， but also provides a new way for emergency response decision-making in oil and gas pipeline accidents。
gas pipelineBi-LSTM-CFR modelKnowledge graphScenario evolutionEmergency decision-making
XU HOUJIA、SHUAI JIAN
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College of Safety and Ocean Engineering, China University of Petroleum, Beijing, China##Key Laboratory of Oil and Gas Production Safety and Emergency Technology, Ministry of Emergency Management, Beijing, China
ASME pressure vessels and piping conference
Bellevue(US)
Proceedings of the ASME 2024 pressure vessels & piping conference
NETL
