The invention discloses a mold project progress
lag risk early warning method, which is applied to the technical field of risk early warning, and comprises the following steps: defining a key monitoring node of an automobile mold, and constructing a risk judgment rule base containing a threshold value, a key index and a
task dependency relationship; the plan data and the multi-source actual feedback data are integrated, the plan data and the actual execution data are compared in real time through an intelligent linkage engine, a progress deviation value is calculated, and an early warning node is recognized according to a threshold value in a risk judgment rule base; based on the dependency relationship in the risk
decision rule base, the identified early warning node is evaluated, the influence path of the early warning node is simulated, and a visual
data flow diagram is generated; and triggering a grading early warning notification according to the risk grade in the
evaluation result. According to the method, various risk factors are fused into the comprehensive
risk index through the dynamic aggregation
algorithm, so that the accuracy and reliability of risk early warning are effectively improved.