Review of integrated full-lifecycle data management and application of the slab tracks

Wenlong Ye, J. Ren, P. Zhang, Qi Zhang, Lon-biau Li
{"title":"Review of integrated full-lifecycle data management and application of the slab tracks","authors":"Wenlong Ye, J. Ren, P. Zhang, Qi Zhang, Lon-biau Li","doi":"10.1093/iti/liac018","DOIUrl":null,"url":null,"abstract":"\n Full-lifecycle data management and application of high-speed railway slab track has multiple benefits. While serving as the basis for scientific periodic and predictive maintenance, it is also the key to extending the service life of the track structure and improving train safety and smoothness. The paper provides a comprehensive review of the multi-source data collection methods, the integrated data management, and the multi-dimensional data applications for slab tracks from a full-lifecycle perspective. The data detection and monitoring methods across the design, construction, and O&M (Operation and Maintenance) phases of slab tracks are summarized, offering a potential direction for better refinement and intelligent data collection. Besides, the paper reviews the data management system at different life cycle stages of the slab track, and a integrated full-lifecycle data management framework is proposed. Also considered is the application of related complex mass data, in which we summarize the maintenance indexes to evaluate and predict the current and future quality of slab tracks. This study aims to lay a foundation for future scientific maintenance and repair strategies of slab tracks in high-speed railways.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"126 19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Transportation Infrastructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/iti/liac018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Full-lifecycle data management and application of high-speed railway slab track has multiple benefits. While serving as the basis for scientific periodic and predictive maintenance, it is also the key to extending the service life of the track structure and improving train safety and smoothness. The paper provides a comprehensive review of the multi-source data collection methods, the integrated data management, and the multi-dimensional data applications for slab tracks from a full-lifecycle perspective. The data detection and monitoring methods across the design, construction, and O&M (Operation and Maintenance) phases of slab tracks are summarized, offering a potential direction for better refinement and intelligent data collection. Besides, the paper reviews the data management system at different life cycle stages of the slab track, and a integrated full-lifecycle data management framework is proposed. Also considered is the application of related complex mass data, in which we summarize the maintenance indexes to evaluate and predict the current and future quality of slab tracks. This study aims to lay a foundation for future scientific maintenance and repair strategies of slab tracks in high-speed railways.
板坯轨道全生命周期综合数据管理与应用综述
高速铁路平板轨道全生命周期数据管理与应用具有多重效益。它是进行科学的定期和预测性维护的基础,也是延长轨道结构使用寿命,提高列车安全性和平稳性的关键。本文从全生命周期的角度,对板坯轨道的多源数据采集方法、综合数据管理和多维数据应用进行了综述。总结了板式轨道设计、施工和运维阶段的数据检测与监测方法,为更好地精细化和智能化数据采集提供了潜在的方向。此外,本文还对板式轨道不同生命周期阶段的数据管理系统进行了综述,提出了一个集成的全生命周期数据管理框架。本文还考虑了相关复杂海量数据的应用,总结了板坯轨道的养护指标,以评价和预测板坯轨道当前和未来的质量。本研究旨在为今后高速铁路板式轨道的科学养护和维修策略奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信