This application discloses a method,
system, and storage medium for constructing a multi-view trace graph of an industrial process, belonging to the field of industrial
process mining technology. The method includes: acquiring event logs of the industrial process; based on the event logs, mining and generating an initial behavioral relationship graph reflecting the behavioral dependencies between activities, wherein the initial behavioral relationship graph has activities as nodes and behavioral dependencies between activities as edges; extracting multi-view attribute information associated with activities from the event logs, wherein the multi-view attribute information includes at least one or more of resource attributes, scale attributes, product attributes, and personnel attributes; embedding and mapping the multi-view attribute information to generate a multi-view fusion
feature vector for each activity node; combining the initial behavioral relationship graph with the multi-view fusion
feature vector to construct a multi-view trace graph, which is used to uniformly represent the interaction between the execution structure and multi-view attributes of the industrial process.