欢迎访问铁路通信信号工程技术,今天是 English

铁路通信信号工程技术 ›› 2023, Vol. 20 ›› Issue (11): 44-49.DOI: 10.3969/j.issn.1673-4440.2023.11.008

• • 上一篇    下一篇

重载铁路运输大数据分析平台架构设计研究

宋宗莹1,王文斌1,刘子扬2,周 瑾2,刘永壮2   

  1. 1.中国神华能源股份有限公司,北京 100011;
    2.北京全路通信信号研究设计院集团有限公司,北京 100070
  • 收稿日期:2023-06-26 修回日期:2023-11-09 出版日期:2023-11-24 发布日期:2023-11-25
  • 作者简介:宋宗莹(1982—),男,正高级工程师,博士,主要研究方向:铁路运输管理,邮箱:10000372@chnenergy.com.cn。
  • 基金资助:
    中国神华重载铁路运输大数据分析平台研究项目(SHGF-22-02)

Design and Research on Architecture of Big Data Analytics Platform in Heavy-haul Railway Transportation

Song Zongying1,  Wang Wenbin1,  Liu Ziyang2,  Zhou Jin2,  Liu Yongzhuang2   

  1. 1. China Shenhua Energy Co., Ltd., Beijing    100011, China;
    2. CRSC Research & Design Institute Group Co., Ltd., Beijing 100070, China
  • Received:2023-06-26 Revised:2023-11-09 Online:2023-11-24 Published:2023-11-25

摘要: 为解决重载铁路运输组织中积累的大量业务数据在分析能力、应用深度和数据创新方面不足的问题,推进大数据技术在重载铁路运输领域的应用,提出重载铁路运输大数据分析平台设计方案。在分析重载铁路特点的基础上,提出基于Hadoop和MPP混合架构的重载铁路运输大数据分析平台框架结构,设计大数据平台的应用架构与技术架构,并介绍平台的关键技术与业务应用。目前已经开展了基于该设计方案的重载铁路大数据分析平台的搭建和运行。

关键词: 重载铁路, 大数据, 混合架构, 领域建模

Abstract: In order to solve the problem of insufficient analytical capabilities, application depth, and data innovation arising from the large amount of business data accumulated in the organization of heavy-haul railway transportation, and promote the application of big data technology in the field of heavy haul railway transportation, this paper proposes a design solution for a big data analytics platform in the field of heavy-haul railway transportation. Based on an analysis of the characteristics of heavy-haul railways, a framework for the platform is presented, which utilizes a hybrid architecture combining Hadoop and MPP (Massively Parallel Processing). The study also designs the application and technical architecture of the big data platform, and discusses the key technologies and business applications of the platform. Currently, the construction and operation of the heavy-haul railway big data analytics platform based on this design solution have been implemented.

Key words: heavy-haul railway, big data, hybrid architecture, domain modeling

中图分类号: