摘要
如何在轨道交通管理中挖掘和发挥大数据的创新价值,服务轨道交通行业有着重要的意义。针对实际的轨道交通监测需求,设计并实现了面向地铁运维的轨道交通大数据在线监测系统。系统架构由数据接入层、数据存储层、数据计算层和大数据应用层组成。采用基于Spark/Hadoop的数据流处理方案,完成了状态监测、统计分析、趋势预测、可视化等核心功能,实现了受电弓、轮对和车载弓网动态监测。
How to excavate and bring into play the innovative value of big data in rail transit management is of great significance for the rail transit industry. In view of the actual needs of rail transit monitoring, online monitoring system of rail transit based on big data is designed and implemented for metro operation and maintenance. The system architecture is composed of data access layer, data storage layer, data calculation layer and big data application layer. Using the Spark/Hadoop based data flow processing scheme, the core functions of state monitoring, statistical analysis, trend prediction and visualization are completed, and the dynamic monitoring of pantograph, wheel pair and vehicle pantograph network is realized.
作者
赵铁柱
董辉
林玉文
袁华强
ZHAO Tiezhu;DONG Hui;LIN Yuwen;YUAN Huaqiang(School of Computer Science and Technology,Dongguan University of Technology,Dongguan 523808,China;Dongguan Nannar Electronics Technology Co.,Ltd.,Dongguan 523050,China)
出处
《东莞理工学院学报》
2019年第5期50-55,73,共7页
Journal of Dongguan University of Technology
基金
2018年东莞市社会科技发展(重点)项目(20185071401606)
2017年广东省省级工业与信息化发展专项资金(支持大数据示范应用)项目(面向地铁车辆运维的大数据应用与云平台)
国家自然科学基金资助项目(61402106)
关键词
轨道交通
大数据
在线监测
机器学习
rail transit
big data
online monitoring
machine learning
