Safety Analysis of Cryogenic Loading System Based on Knowledge Graph

Aiming at the problem that it is difficult to realize the traditional way of establishing mechanism model and then analyzing the safety of cryogenic loading system, this paper proposes to build a "system-subsystem-equipment" functional hierarchy model to simplify the difficulty of safety analysis. In order to solve the problems of scattered research results of system safety analysis and difficult knowledge sharing, this paper uses knowledge graph to integrate knowledge related to filling accidents, establishes ontology model of cryogenic loading system based on OWL, realizes the association among accident, evaluation index, monitoring data and other ontologies, and uses SWRL to establish the corresponding relationship among class, instance and attribute. The safety knowledge ontology and SWRL rules are put into the rule engine for reasoning and mining the hidden knowledge. Finally, an example of the actuator subsystem in cryogenic loading system is analyzed. The results show that the method can solve the problems of knowledge representation difficulty, lack of automatic semantic reasoning, poor reusability and sharing in cryogenic loading system.