摘要
根据铁路局现有运输信息系统,提出基于货运大数据的运输效率分析方法,解决线路区间通过能力下降、车站作业效率降低、车辆周转率低等问题。通过搭建Hadoop大数据平台和GIS平台,利用Spark框架、Java编程语言和Sqoop数据传输工具,实现货运大数据的分析和存储、线路通过能力实时分析、车站作业效率实时提示、货车车辆状态全流程分析等功能,实现大数据分析结果与铁路线路图紧密结合和直观展示。
According to the existing railway transportation information system, this paper proposed a method of transportation efficiency analysis based on large data of freight transport to solve the problems such as the decrease of the capacity of line section, the decrease of the efficiency of station operation and the low turnover rate of vehicles. By building Hadoop big data platform and GIS platform, using Spark framework, Java programming language and Sqoop data transmission tools, it was implemented the functions of the analysis and storage of freight transportation big data, real-time analysis of line passing capacity, real-time prompting of station operation efficiency, and full process analysis of freight vehicle status. The close combination and intuitive display of large data analysis results with railway route map were also realized.
作者
罗明
沈路
LUO Ming;SHEN Lu(Institute of Information Technologies,China Railway Wuhan Group Co.Ltd.,Wuhan 430071,China;Information Department,China Railway Wuhan Group Co.Ltd.,Wuhan 430071,China)
出处
《铁路计算机应用》
2019年第3期1-5,21,共6页
Railway Computer Application
基金
中国铁路武汉局集团有限公司科技研究开发计划课题(18X04)
关键词
铁路货物运输
运输效率
大数据
地理信息系统
railway freight transportation
transportation efficiency
big data
GIS
