同济大学学报（自然科学版）2024，Vol.52Issue(2)：184-191,8.DOI:10.11908/j.issn.0253-374x.23366
基于安全知识库的轨道交通安全预评价方法
A Pre-Evaluation Method for Rail Transit Safety Based on a Safety Knowledge Base
摘要
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.关键词
轨道交通/信号系统/安全预评估/全生命周期/安全知识库Key words
urban rail transit/signalling system/safety pre-evaluation/life circle/safety knowledge base分类
交通工程引用本文复制引用
盛峰,安雪晖,林海香,曾小清,胡娜娜,李冬,包继锦..基于安全知识库的轨道交通安全预评价方法[J].同济大学学报（自然科学版）,2024,52(2):184-191,8.基金项目
校企战略性合作专项高速铁路绿色智能施工关键技术研究(kh0160020230946、LQKY2022-01-1) （kh0160020230946、LQKY2022-01-1）
国家自然科学基金重点项目(52038008) （52038008）
