›› 2015, Vol. 28 ›› Issue (11): 161-.

• 论文 • 上一篇    下一篇

轨道电路故障诊断大数据处理技术综述

程建云,魏文军   

  1. (兰州交通大学 光电技术与智能控制教育部重点实验室,甘肃 兰州 730070)
  • 出版日期:2015-11-15 发布日期:2015-12-15
  • 作者简介:程建云(1990—),男,硕士研究生。研究方向:轨道电路故障诊断。E-mail:404284441@qq.com
  • 基金资助:

    甘肃省青年科技计划基金资助项目(1308RJYA096)

Big Data Processing in Track Circuit Troubleshooting

CHENG Jianyun,WEI Wenjun   

  1. (School of Traffic & Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)
  • Online:2015-11-15 Published:2015-12-15

摘要:

在轨道电路维护和管理过程中会产生大量的异构,多态数据,即大数据。如何高效存储和快速访问,是目前一个重要的研究课题。文中分析了轨道电路故障检测产生大数据的特点。回顾了当前在互联网和工业监测中大数据的处理技术,以及这些技术在轨道电路故障排除中大数据处理的优势和弱点。最终,从一个大的数据存储,实时数据处理,多数据源的异构集成和大数据可视化4个方面论述了大数据在轨道电路应用中的机遇和挑战。

关键词: 轨道电路, 大数据, 云计算, 并行数据库

Abstract:

Track circuit operation,maintenance and management of the process will produce massive heterogeneous multi-state data,that is,big data.Their efficient,reliable and inexpensive storage and quick access and analysis are currently an important research topic.The article first analyzes the characteristics of generation sources and track circuit failure detection in all aspects of big data,and reviews the current business,Internet and industrial monitoring large areas of the existing data-processing technique.A detailed analysis of these techniques in response to the track circuit troubleshooting and large data processing strengths and weaknesses is made.Finally the opportunities and challenges of big data track circuits are discussed in perspectives of large data storage,real-time data processing,heterogeneous integration of multiple sources of data,and large data visualization.

Key words: track circuit;big data;cloud computing;parallel database

中图分类号: 

  • TP18