摘要
针对铁路货车走行公里计算和多维度海量数据并行处理的问题,设计了铁路货车里程管理及辅助分析应用系统。该系统通过融合多源数据,利用并行计算技术,精确统计铁路货车及其重要零部件的运用里程,并对车型及临修故障里程分布进行统计分析,有效地解决了基于走行公里为主检修的车辆定期检修到过期预警问题,为货车修程修制改革和货车配件精细化管理提供了数据支撑,提升了铁路货车运营维护效率和水平。
In response to the problems of calculating the mileage of railway freight cars and parallel processing of multi-dimensional massive data,this paper designed a railway freight car mileage management and auxiliary analysis application system.This system integrated multiple sources of data and utilizes parallel computing technology to accurately calculate the operating mileage of railway freight cars and their important components,conducted statistical analysis on the distribution of freight car types and temporary maintenance fault mileage,effectively solved the problem of freight car periodic maintenance and expiration warning based on mileage,could provide data support for the reform of freight car repair procedure and the refined management of freight car accessories,improve the efficiency and level of railway freight car operation and maintenance.
作者
杨文澈
刘茂朕
史晓磊
董卓皇
陈亚勋
YANG Wenche;LIU Maozhen;SHI Xiaolei;DONG Zhuohuang;CHEN Yaxun(Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Jingwei Information Technologies Co.Ltd.,Beijing 100081,China)
出处
《铁路计算机应用》
2024年第12期59-64,共6页
Railway Computer Application
基金
中国铁路总公司科技研究开发计划重点课题(N2021J034)
北京经纬信息技术有限公司科研项目(DZYF23-19)。
关键词
铁路货车
走行公里
大数据
数据分析
修程修制改革
railway freight car
mileage
big data
data analysis
reform of repair procedure and system
作者简介
杨文澈,助理研究员;刘茂朕,工程师。
