Abstract: To control the risk of electrical misoperation and reduce the workload of substation operators in the operation ticket review process, this paper develops an intelligent operation ticket review system based on traditional logical keyword recognition and decision tree reasoning. The system first performs structured parsing and keyword extraction on typical operation ticket samples, transforming business rules into multiple sets of judgment features. Then, a decision tree is used to train and reason on these features, achieving intelligent, non-intrusive review of operation tickets. Trial operation shows that the system can significantly reduce the amount of manual ticket review, improve the standardization and safety of operation tickets, and effectively improve the overall efficiency of switching operations.