Research on the Key Technologies of Big Data Based High-speed Railway Permanent Way Data Asset Collection Platform

Zhibo Cheng, Yanhua Wu, Taifeng Li, Zhengyang Zhao
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引用次数: 2

Abstract

It is of great significance to manage high-speed railway permanent way equipment data efficiently for the improvement of operational safety. This paper, by investigating the management status of high-speed railway permanent way equipment data, conducts a demand analysis on exploring big data applications of permanent way and proposes an overall framework for a High-speed Railway Permanent Way Data Asset Collection Platform based on the Railway Data Service Platform. After sorting out and designing the main functions of the platform from a technical and business perspective, this paper also researches some key technologies of the platform including data cleaning and management, full-text retrieval, and cold/warm/hot data storage strategies. Finally, this paper takes one of the highspeed railway permanent way subjects as an example, building a prototype system of the High-speed Railway Permanent Way Data Asset Collection Platform and verifies the feasibility of the overall framework and key technologies. Based on the proposed platform, performing typical permanent way equipment analysis and big data applications can provide data and decision-making support for reasonable guidance towards permanent way equipment maintenance and management.
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基于大数据的高速铁路常轨数据资产采集平台关键技术研究
对高速铁路常轨设备数据进行有效管理,对提高运营安全性具有重要意义。本文通过调研高速铁路常轨设备数据管理现状,对探索常轨大数据应用进行需求分析,提出了基于铁路数据服务平台的高速铁路常轨数据资产采集平台总体框架。在从技术和业务角度对平台的主要功能进行梳理和设计后,对平台的数据清洗与管理、全文检索、数据冷/暖/热存储策略等关键技术进行了研究。最后,本文以某高速铁路永久公路课题为例,构建了高速铁路永久公路数据资产采集平台的原型系统,验证了总体框架和关键技术的可行性。基于所提出的平台,开展典型永路设备分析和大数据应用,为永路设备维护管理的合理指导提供数据和决策支持。
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