Research on Optimal Selection of Preventive Maintenance Strategies for Train Control Systems Based on Improved Mutation Theory

With the preliminary completion of the main channels of China's "Eight Vertical and Eight Horizontal" high-speed railway network high-speed railways have made domestic economic, cultural and other activities more closely connected. Due to their excellent convenience, high-speed railways have become the preferred way for the public to travel. However, with the increase in passenger flow, the intensity of train operation continues to increase, and incidents of train control system failure occur frequently. Existing theories do not play a significant role in preventing train control system failure accidents, thus posing a huge challenge to the safety of train service. This article selects the T300 series train control system and proposes 13 secondary evaluation indicators for the automatic train protection system (ATP) from six dimensions including safety, reliability, and service life for the first time. A safety maintenance strategy optimization evaluation system for the train control ATP system is established, and the fuzzy analytic hierarchy process is used for the first time to rank the importance of the indicators. The numerical transformation method is introduced to improve the mutation theory, and a preventive maintenance strategy optimization model for the train control system based on the improved mutation theory is established. The research results indicate that mutation theory has important application value in the optimization of preventive safety maintenance strategies for train control ATP systems.