摘要
针对如何对铁路客运车站(简称:客站)设备进行更高效、全方位、多角度地进行管理的问题,搭建了智能客站设备大数据运维服务平台,介绍了其功能架构和设备健康状况评价体系。该平台实现了设备运行状态的实时监测、特征主动识别、故障预测、运维趋势推演、多属性健康状况评价等功能,提升了客运设备健康程度和智能客站设备管理整体智能化水平,为智能客站设备运维管理提供了新的管理思路和技术手段,为下一步客站设备健康评估应用的开发奠定基础。
Aiming at the problem of how to manage the railway passenger station equipment more efficiently,comprehensively and from multiple angles,this paper established the big data operation and maintenance service platform for railway intelligent passenger station equipment,and introduced its functional architecture and equipment health evaluation system.The platform had the functions of real-time monitoring of equipment operation status,active feature identification,fault prediction,operation and maintenance trend deduction,multi-attribute health status evaluation,improved the health degree of passenger equipment and the overall intelligent level of intelligent passenger station equipment management,and provided new management ideas and technical means for intelligent passenger station equipment operation and maintenance management.It lays a foundation for the development of health assessment application of passenger station equipment in the next step.
作者
李君
徐春婕
LI Jun;XU Chunjie(Beijing Jingwei Information Technologies Co.Ltd.,Beijing 100081,China;Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁路计算机应用》
2021年第9期60-65,共6页
Railway Computer Application
基金
国家重点研发计划项目(2020YFF0304100)。
关键词
智能客站
设备运维
故障预测
大数据分析
综合评价
intelligent passenger station
equipment operation and maintenance
fault prediction
big data analysis
comprehensive evaluation
