The safety management of urban rail transit based on operation fault log

被引:31
|
作者
Ding, Xiaobing [1 ]
Yang, Xuechen [1 ]
Hu, Hua [1 ]
Liu, Zhigang [1 ]
机构
[1] Shanghai Univ Engn Sci, Sch Urban Rail Transportat, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
Safety management; Metro safety; Operation fault log; Data mining; Database technology; SYSTEM; RISK;
D O I
10.1016/j.ssci.2016.12.015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the rapid development of China's rail transit, the safety of Metro has roused the society's concern more and more widespread. So deeply mining the massive dispatching log data is of great significance to the safety management of Metro operation. For the purposes of risk early-warning and promoting the safety management level of Metro, a dispatching fault log management and analysis database system (DFLMIS) is designed, which contains almost all kinds of accidents that have occurred in the operation of Metro. Taking the compatibility and safety into consideration, the Visual studio 2010 and SQL-sever 2005 are used to develop the DFLMIS. First, changing operation fault log is regarded as a state machine, which describes the data from three dimensions: time, value of information, frequency, and forms the operation scheduling database with data management as the visual angle. Second, the probability space cut algorithm is presented for pruning strategy of probability space, which is suitable for high frequent update of the environment of grid technology as index structure. Finally, the procedures are demonstrated to how DFLMIS can be used to early-warn and identify the risk sources. The research and design of DFLMIS would be of great help to the Metro operators to identify the risk and promote the safety management level. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:10 / 16
页数:7
相关论文
共 50 条
  • [21] Quality Risk Evaluation of Urban Rail Transit Construction Based on AHP-FCE Method
    Ma, Shaoxiong
    Tian, Qing
    Zou, Chao
    Yang, Gongyin
    ADVANCES IN CIVIL ENGINEERING, 2023, 2023
  • [22] Resonant Switched Capacitor Converter Based DC Auto-Transformer for Urban Rail Transit
    Wang, Miao
    Yang, Xiaofeng
    Wang, Lulu
    Zheng, Trillion Q.
    THIRTY-THIRD ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2018), 2018, : 1441 - 1446
  • [23] Reservation reward-based approach for reducing energy consumption peaks in urban rail transit
    Ding, Meiling
    Guo, Xin
    Shang, Wen-Long
    Wu, Jianjun
    Gao, Ziyou
    APPLIED ENERGY, 2025, 384
  • [24] Planning Bus Bridging Evacuation during Rail Transit Operation Disruption
    Hu, Hua
    Gao, Yunfeng
    Yu, Jie
    Liu, Zhigang
    Li, Xin
    JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2016, 142 (04)
  • [25] Carbon emission reduction potential of urban rail transit in China based on electricity consumption structure
    Zhang, Linling
    Long, Ruyin
    Chen, Hong
    RESOURCES CONSERVATION AND RECYCLING, 2019, 142 : 113 - 121
  • [26] Modelling and Simulation of Stray Current in Urban Rail Transit-A Review
    Yang, Xiaofeng
    Wang, Miao
    Zheng, Trillion Q.
    Sun, Xiangxuan
    URBAN RAIL TRANSIT, 2024, 10 (03) : 189 - 199
  • [27] Integrated energy-efficient optimization for urban rail transit timetable
    Deng, Lianbo
    Chen, Ming
    Duan, Keyi
    Li, Ouyang
    Shi, Fengshou
    IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 17 (09) : 1819 - 1834
  • [28] Short-time Prediction of Urban Rail Transit Passenger Flow
    Xuan, Jing
    Song, Jiulin
    Liu, Jingya
    Zhang, Qiuyan
    Xue, Gang
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2024, 31 (02): : 474 - 485
  • [29] High Voltage DC Traction Power Supply for Urban Rail Transit
    Wang, Miao
    Yang, Xiaofeng
    Li, Shixiang
    Ni, Menghan
    Zheng, Trillion Q.
    2021 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC), 2021, : 893 - 897
  • [30] Resiliency assessment of urban rail transit networks: Shanghai metro as an example
    Zhang, Dong-ming
    Du, Fei
    Huang, Hongwei
    Zhang, Fan
    Ayyub, Bilal M.
    Beer, Michael
    SAFETY SCIENCE, 2018, 106 : 230 - 243