{"title":"Research on the Key Technologies of Big Data Based High-speed Railway Permanent Way Data Asset Collection Platform","authors":"Zhibo Cheng, Yanhua Wu, Taifeng Li, Zhengyang Zhao","doi":"10.1109/ICAICA50127.2020.9182429","DOIUrl":null,"url":null,"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.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICA50127.2020.9182429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.