Metro Operation and Maintenance Safety Risk Assessment Based on CIM Platform

The acceleration of urbanization has promoted the development of subway construction. Subway is an important part of urban traffic, and its operation and maintenance safety risk assessment can predict and judge the condition of subway in advance. In terms of information management, the subway lacks standardized coding system, the maintenance knowledge base is not perfect, and the overall equipment maintenance strategy is implemented. Therefore, the operation and maintenance has problems such as backward management system, reduced efficiency, imperfect system, and difficult statistical information. Therefore, this paper proposes that the CIM platform is combined with metro operation and maintenance data for security risk assessment, so as to realize risk early warning and take measures in advance to reduce risks and ensure people’s safety. This paper mainly uses the methods of investigation, quantitative analysis, weight comparison and experimental simulation to analyze the data of subway operation and maintenance, obtain the impact factor, and evaluate the safety risk. The experimental results show that the failure rate of the vehicle system is in the middle (0.05), the fault frequency of the signal and communication system is the lowest (0.03), and the failure rate of the power and power supply system is the highest (0.08). The research shows that the signal and communication system is more reliable and durable, the performance of the vehicle system is in the middle, and the electric power supply system is the worst.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.010
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metro Operation and Maintenance Safety Risk Assessment Based on CIM Platform

Jing Kang, Yichao Wang, Caihong Zhang
Procedia Computer Science
Power Systems and Technologies
article

Metro Operation and Maintenance Safety Risk Assessment Based on CIM Platform

Jing Kang, Yichao Wang, Caihong Zhang
article en

Abstract

The acceleration of urbanization has promoted the development of subway construction. Subway is an important part of urban traffic, and its operation and maintenance safety risk assessment can predict and judge the condition of subway in advance. In terms of information management, the subway lacks standardized coding system, the maintenance knowledge base is not perfect, and the overall equipment maintenance strategy is implemented. Therefore, the operation and maintenance has problems such as backward management system, reduced efficiency, imperfect system, and difficult statistical information. Therefore, this paper proposes that the CIM platform is combined with metro operation and maintenance data for security risk assessment, so as to realize risk early warning and take measures in advance to reduce risks and ensure people’s safety. This paper mainly uses the methods of investigation, quantitative analysis, weight comparison and experimental simulation to analyze the data of subway operation and maintenance, obtain the impact factor, and evaluate the safety risk. The experimental results show that the failure rate of the vehicle system is in the middle (0.05), the fault frequency of the signal and communication system is the lowest (0.03), and the failure rate of the power and power supply system is the highest (0.08). The research shows that the signal and communication system is more reliable and durable, the performance of the vehicle system is in the middle, and the electric power supply system is the worst.

Procedia Computer ScienceVol. 259
Shenyang Aerospace University (CN), Shenyang University of Technology (CN), Shenyang University (CN)
Openalex Percentile: Top 92%
Power Systems and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Metro Operation and Maintenance Safety Risk Assessment Based on CIM Platform — Jing Kang, Yichao Wang, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS