摘要
我国城市轨道交通的迅猛发展对基础设施的可靠性、可用性、可维修性与安全性要求越来越高。文章通过对城市轨道交通运营管理模式和手段的研究,以及运营过程中事故故障的大数据分析,提出构建基于智能检测监测、云计算与大数据等先进技术的智能运维系统。该系统可对城市轨道交通运营过程中海量运维数据进行整理融合、深度挖掘与智能分析,对基础设施进行全寿命周期管理,实现运维管理与生产作业智能化,大幅提升运维效率,降低运维成本,引领城市轨道交通智能运维模式的深度变革。
With the rapid development of urban rail transit in China,there are more and more requirements for the reliability,availability,maintainability,and safety of infrastructure.Through researching the operation management mode and means of rail transit and big data analysis of accidents and failures in the operation process,this paper proposes to build an intelligent operation and maintenance system based on advanced technologies such as intelligent detection and monitoring,cloud computing and big data.This system can sort and integrate and carry out deep mining and intelligent analysis of the massive amount of operation and maintenance data in the process of rail transit operation,and perform lifecycle management of the infrastructure,realizing operation and maintenance management and the intelligentization of production operation,thereby greatly improving operation and maintenance effi ciency,reducing operation and maintenance cost,and leading the profound change in the intelligent operation and maintenance mode of urban rail transit.
出处
《现代城市轨道交通》
2021年第11期85-89,共5页
Modern Urban Transit
关键词
城市轨道交通
智能检测
大数据
运营维护
管理
urban rail transit
intelligent detection
big data
operation and maintenance
management