Knowledge graph is an indispensable part of cognitive intelligence research.Aiming at the prob-lem that the traditional analysis method of stope mine pressure hazard events has insufficient expression of the stress time and space evolution process and the relationship between hazard evolution and risk preven-tion and control in the coal mining process,this paper proposes a knowledge graph representation method that based on the entire life cycle of stope for mining pressure hazard events.Firstly,from the perspective of geological disasters,the dynamic characteristics of stress and distribution in stope were analyzed.The dynamic correlation of various nodes in mine pressure geological disasters was established,and a knowl-edge graph representation method for mine pressure geological disasters considering spatiotemporal processes was proposed.Secondly,from the perspective of accidents,the evolution of hazard and the process of risk prevention and control in mine pressure accidents were analyzed.The evolution of hazard and preventive measures were integrated into the knowledge graph representation model.Finally,Neo4j was used to build the knowledge graph of mine pressure hazard events.The results indicate that the knowledge graph constructed based on this representation method not only depicts the spatiotemporal evo-lution processes of different objects in disaster events but also describes the coupling evolution process of hazards and corresponding risk prevention and control measures.This provides an intelligent research pathway for the prevention and control of mining pressure hazards in intelligent mining.
intelligent miningstope pressureknowledge graphhazard couplingrisk prevention and control
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