Abstract

Due to its complex structure and functionality, intelligent production line has a higher possibility of failure during operation. When failures occur, the monitoring and control functions of the intelligent production line will be impacted, leading to a system failure. Therefore, when monitoring the security of the intelligent production line and executing the security policy, it is necessary to consider not only the functional safety and information security of the information physical system, but also the dynamic process of fault propagation and evolution in the same level or between different levels of the intelligent production line, so as to provide more accurate security protection for the intelligent production line. To address the above problems, this paper proposes a Petri net-based fault diagnosis method and SDG-based fault tracing method to accurately locate the faults that occur during the operation of intelligent production line.The experiment proves that the method proposed in this paper is accurate and has reference significance for the monitoring and operation and maintenance of intelligent production line.

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