A Pre-Evaluation Method for Rail Transit Safety Based on a Safety Knowledge Base

Abstract:

With the rapid advancement of urban rail transit systems， the existing pre-evaluation practices for safety-related domains within domestic railway transport remain immature. The inability to share accrued cases of faults and accidents expedites the challenge in executing practical pre-evaluation tasks. First， a 5M（man， machine， media， management， and mission） multi-factor signal system security knowledge based on ontology reasoning rules is constructed. Then the pre-evaluation process of the signal system is elaborated. Evolving from case analysis and practical application， a novel rail transit safety pre-evaluation system is formed relying on a safety knowledge base. Finally， the rail transit safety pre-evaluation method based on safety knowledge base is compared with the general pre-evaluation method from the aspects of risk identification quality and risk control accuracy. The results verify that this approach can identify and appraise risk factors within signal system stages， spanning its complete lifecycle， with superior quality and precision in risk identification and control. The deployment of this methodology bolsters the strength of pre-safety management effectiveness in urban rail transit and provides a reference framework for theoretical investigations on risk pre-evaluation within safety-related domains.