Design and implementation of railway signal interlocking test level evaluation system based on genetic algorithm

With the rapid development of railway transportation, the safety and reliability of railway signal interlocking system has become the key factor to ensure the safety of train operation. The traditional interlocking test method relies on manual operation, and has problems such as incomplete test items and incomplete test process, which is difficult to meet the needs of modern railway signal system. In this paper, a railway signal interlocking test level evaluation system based on genetic algorithm is proposed, which aims to improve the efficiency and accuracy of interlocking test through intelligent methods. The system combines computer simulation technology, big data analysis technology and genetic algorithm to realize the automation, intelligence and hierarchical management of interlocking test. Through simulation verification and field test, the system can effectively identify the potential problems in the interlocking relationship and ensure the comprehensiveness and thoroughness of the interlocking test. This paper introduces the design idea, implementation method and practical application effect of the system in detail, which provides a new solution for the intelligent management of railway signal interlocking test.