摘要
利用中国铁路北京局集团有限公司安全大数据应用平台的资源及大数据分析技术,开展铁路局集团公司安全综合管理系统设计方案研究。通过数据挖掘和分析,系统可从不同角度揭示事故/故障、安全问题等各类危险的特征和规律,探索各类危险源与安全事件的关联关系,分析判别安全事故/故障的趋势,为铁路安全监督管理工作提供全新的辅助决策支持工具。
By using the resources of the safety big data application platform of Beijing Railway Administration and big data analysis technology,a research is made on the design of railway safety comprehensive management system of Railway Administration.Via data mining and analysis,this system can help safety management personnels reveal the characteristics and regularity of various hazards such as accidents,faults and safety problems from different perspectives,probe the correlations and evolution of various hazards and safety events,and discover the trends of safety accidents and faults,thus offering a new decision support tool for railway safety supervision and management.
作者
陈同喜
谢文广
杨光
苏尔慈
刘彦军
CHEN Tongxi;XIE Wenguang;YANG Guang;SU Erci;LIU Yanjun(Safety Supervision Office,China Railway Beijing Group Co.Ltd.,Beijing 100860,China;Railway Big Data Research and Application Innovation Center,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Jingwei Information Technology Co.Ltd.,Beijing 100081,China)
出处
《铁路计算机应用》
2021年第1期39-42,46,共5页
Railway Computer Application
基金
中国铁路北京局集团有限公司科技研究开发计划重大课题(2019AX03)。
关键词
大数据应用
铁路安全监察
危险辨识
事故/故障分析
风险管控
隐患排查
big data application
railway safety supervision
hazard identification
accident and failure analysis
risk management and control
potential risk investigation
