Research on Search Method of Knowledge Graph of Supply Chain Risk Based on Cascading Effect

Each enterprise in the supply chain is more susceptible to risks while obtaining more benefits through collaboration. In order to achieve the purpose of reducing cost and increasing efficiency, enterprises should fully understand the risk and choose the best control point. The risk knowledge graph based on DRC chain stores the risk chain composed of multiple risk sources, risks and consequences. In order to fully understand the risk, this study uses the above knowledge graph to design the corresponding graph search method according to the dynamic characteristics of the risk queue of temporary risk. The experimental results show that the search method in this study can match the nodes well, and can search the structure subgraph related to the matching nodes in the knowledge graph to evaluate the system risk, and provide support for selecting the best control point.