城市轨道交通智能综合检测列车检测系统集成方案

戴源廷1马志鹏2徐栋3周潇4

Urban Rail Transit Intelligent Comprehensive Inspection Train Detection System Integration Scheme

DAI YuantingMA ZhipengXU Dong
  • 作者信息:
    1.中国铁道科学研究院集团有限公司城市轨道交通中心, 100081, 北京
    2.中国铁道科学研究院, 100081, 北京
    3.北京市轨道交通运营管理有限公司, 100068, 北京
    4.重庆市轨道交通(集团)有限公司, 401120, 重庆
  • Affiliation:
    Urban Rail Transit Center, China Academy of Railway Sciences Group Co., Ltd., 100081, Beijing, China
  • 关键词:
  • Key words:
  • DOI:
    10.16037/j.1007-869x.2023.10.005
  • 中图分类号/CLCN:
    U279.3+23
  • 栏目/Col:
    研究报告
摘要:
目的:随着新一代城市轨道交通智能综合检测列车的研发,需要对其搭载检测系统的集成方案展开研究。方法:利用改进层次分析法,从需求、效益、功能替代性3个维度量化各检测系统的评分,提出城市轨道交通智能综合检测列车各检测系统配置方案决策模型,确定各检测系统的优先级。以北京某条地铁运营线路为例,对其展开智能综合检测列车各检测系统集成分析,提出集成原则,按照动拖比配置进行分类并进行动力性能核算。提出搭载不同检测系统的3节编组列车配置方案与2节编组列车配置方案。总结了智能综合检测列车的技术优势。结果及结论:经需求、效益、功能替代性3个维度对各检测系统的评分量化,结合智能综合检测列车各检测系统配置方案决策模型,将各系统分为A0、B0、C0 3个优先级,不同检测系统的配置方案取决于钢轨探伤系统、车辆动力学响应检测系统等B0级系统的搭载情况。挑选出符合车辆动力性能的动拖比配置方案,依据所搭载B0级检测系统的不同,得到适应于智能综合检测列车动拖比为2∶1的3节编组列车方案与动拖比为3∶1的2节编组列车方案。
Abstracts:
Objective: With the nextgeneration development of urban rail transit ICIT (intelligent comprehensive inspection train), research is needed on the integration scheme for its onboard detection systems. Method: Utilizing an improved analytic hierarchy process, the evaluation scores of various detection systems are quantified from three dimensions: demand, benefit, and functional substitutability. A decision model is proposed for configuring the scheme and determining the priority of each detection system in urban rail transit ICIT. Taking an operating line in Beijing Subway as example, an integration analysis of the various detection systems in ICIT is conducted, integration principles are formulated, and configurations are classified and power performance is calculated according to the powertoweight ratio. Configuration schemes are proposed for both threecar formation and twocar formation trains equipped with different detection systems. The technological advantages of ICIT are summarized. Result and Conclusion: By quantifying the evaluation scores of various detection systems from the dimensions of demand, benefit, and functional substitutability, and combining the decision model for the configuration scheme of each detection system in ICIT, the systems are categorized into three priorities: A0, B0, and C0. The configuration schemes of different detection systems depend on the presence of B0level systems such as rail flaw detection systems and vehicle dynamics response detection systems. Suitable powertoweight ratio configuration schemes are selected based on vehicle power performance. Depending on the onboard B0level detection systems, a configuration scheme for a threecar train with a powertoweight ratio of 2∶1 and a configuration scheme for a twocar train with a powertoweight ratio of 3∶1 adapted to ICIT are obtained.
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