智能交通的嵌入式多物理轨道诊断系统

A. Bolshakova, A. Boronachin, D. Larionov, L. Podgornaya, R. V. Shalymov
{"title":"智能交通的嵌入式多物理轨道诊断系统","authors":"A. Bolshakova, A. Boronachin, D. Larionov, L. Podgornaya, R. V. Shalymov","doi":"10.1109/IT&QM&IS.2019.8928456","DOIUrl":null,"url":null,"abstract":"Intellectual technologies in railway transport solve many urgent problems. The most important of these is ensuring safety of cargo and passenger traffic. Now its solution is entirely entrusted to specialized manual and self-propelled diagnostic tools. However, it is generally agreed that the most future-proof concept is installation of monitoring systems directly on regularly travelling trains. This approach will allow continuous monitoring of the railway tracks, and make forecasting the development of defective rails possible. This paper is devoted to the concept of embedded track monitoring systems based on inertial, optical, magnetic, satellite and other technologies. The main emphasis is placed on the analysis of signals of micromechanical inertial modules installed on the wheels of the car wheels, which allow monitoring the condition of the rolling surfaces of the rails. Based on the results of the analysis, a conclusion is made on possible configurations of the proposed embedded diagnostic systems.","PeriodicalId":285904,"journal":{"name":"2019 International Conference \"Quality Management, Transport and Information Security, Information Technologies\" (IT&QM&IS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Embedded Multiphysical Track Diagnostic Systems for Intelligent Transport\",\"authors\":\"A. Bolshakova, A. Boronachin, D. Larionov, L. Podgornaya, R. V. Shalymov\",\"doi\":\"10.1109/IT&QM&IS.2019.8928456\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intellectual technologies in railway transport solve many urgent problems. The most important of these is ensuring safety of cargo and passenger traffic. Now its solution is entirely entrusted to specialized manual and self-propelled diagnostic tools. However, it is generally agreed that the most future-proof concept is installation of monitoring systems directly on regularly travelling trains. This approach will allow continuous monitoring of the railway tracks, and make forecasting the development of defective rails possible. This paper is devoted to the concept of embedded track monitoring systems based on inertial, optical, magnetic, satellite and other technologies. The main emphasis is placed on the analysis of signals of micromechanical inertial modules installed on the wheels of the car wheels, which allow monitoring the condition of the rolling surfaces of the rails. Based on the results of the analysis, a conclusion is made on possible configurations of the proposed embedded diagnostic systems.\",\"PeriodicalId\":285904,\"journal\":{\"name\":\"2019 International Conference \\\"Quality Management, Transport and Information Security, Information Technologies\\\" (IT&QM&IS)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference \\\"Quality Management, Transport and Information Security, Information Technologies\\\" (IT&QM&IS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IT&QM&IS.2019.8928456\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference \"Quality Management, Transport and Information Security, Information Technologies\" (IT&QM&IS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IT&QM&IS.2019.8928456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

铁路运输智能化技术解决了许多迫切需要解决的问题。其中最重要的是确保货运和客运的安全。现在,它的解决方案完全委托给专门的手动和自行式诊断工具。然而,人们普遍认为,最经得起未来考验的概念是直接在定期行驶的列车上安装监控系统。这种方法将允许对铁路轨道进行持续监测,并使预测有缺陷轨道的发展成为可能。本文研究了基于惯性、光学、磁、卫星等技术的嵌入式轨道监控系统的概念。主要重点是分析安装在车轮上的微机械惯性模块的信号,从而监测钢轨滚动表面的状况。根据分析结果,对所提出的嵌入式诊断系统的可能配置进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Embedded Multiphysical Track Diagnostic Systems for Intelligent Transport
Intellectual technologies in railway transport solve many urgent problems. The most important of these is ensuring safety of cargo and passenger traffic. Now its solution is entirely entrusted to specialized manual and self-propelled diagnostic tools. However, it is generally agreed that the most future-proof concept is installation of monitoring systems directly on regularly travelling trains. This approach will allow continuous monitoring of the railway tracks, and make forecasting the development of defective rails possible. This paper is devoted to the concept of embedded track monitoring systems based on inertial, optical, magnetic, satellite and other technologies. The main emphasis is placed on the analysis of signals of micromechanical inertial modules installed on the wheels of the car wheels, which allow monitoring the condition of the rolling surfaces of the rails. Based on the results of the analysis, a conclusion is made on possible configurations of the proposed embedded diagnostic systems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mathematical Support of Modeling Methods in Quality Management Problems of Complex System and Processes New Methods of Science Popularization in the Social Media: Modern Trends and Communications Statistic Method for Life-Cycle Processes of Digital Enterprises within Integrated Management Systems Classification Algorithms Analysis in the Forest Fire Detection Problem Intelligent Transport Systems as an Integration Platform for Creating a Network of Regional Transport and Logistics Complexes
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1