Low power and low cost sensor for train velocity estimation

Max Spindler, Denis Stein, M. Lauer
{"title":"Low power and low cost sensor for train velocity estimation","authors":"Max Spindler, Denis Stein, M. Lauer","doi":"10.1109/ICIRT.2016.7588742","DOIUrl":null,"url":null,"abstract":"Nowadays railway vehicle speed sensors suffer from insufficient measurement accuracy. E. g. the Doppler radar is prone to adverse weather conditions while wheel speed sensors are not sufficiently robust against wheel slip and wheel wear. However, since velocity sensors are safety relevant components, it becomes clear that conventional sensors are not able to cover all the requirements for an everyday use. To overcome these deficiencies, we introduce a new train speed sensor based on an electromagnetic measurement principle. It does not require physical contact to the surface. Therefore, it does not suffer from slip or wheel wear. Furthermore, it works reliably under various weather conditions so that it offers high availability. We present the technical basis of the sensor and the algorithm for speed estimation based on the raw sensory data. We show results from tests on a test bench and tests on a railway vehicle which was operated on a test track. We compare the sensor results quantitatively with a high accuracy GNSS receiver and a laser tachymeter.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIRT.2016.7588742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

Nowadays railway vehicle speed sensors suffer from insufficient measurement accuracy. E. g. the Doppler radar is prone to adverse weather conditions while wheel speed sensors are not sufficiently robust against wheel slip and wheel wear. However, since velocity sensors are safety relevant components, it becomes clear that conventional sensors are not able to cover all the requirements for an everyday use. To overcome these deficiencies, we introduce a new train speed sensor based on an electromagnetic measurement principle. It does not require physical contact to the surface. Therefore, it does not suffer from slip or wheel wear. Furthermore, it works reliably under various weather conditions so that it offers high availability. We present the technical basis of the sensor and the algorithm for speed estimation based on the raw sensory data. We show results from tests on a test bench and tests on a railway vehicle which was operated on a test track. We compare the sensor results quantitatively with a high accuracy GNSS receiver and a laser tachymeter.
用于列车速度估计的低功耗低成本传感器
目前铁路车辆速度传感器测量精度不足。例如,多普勒雷达容易受到恶劣天气条件的影响,而车轮速度传感器对车轮打滑和车轮磨损的抵抗力不够强。然而,由于速度传感器是与安全相关的部件,很明显,传统的传感器无法满足日常使用的所有要求。为了克服这些不足,我们提出了一种基于电磁测量原理的列车速度传感器。它不需要与表面进行物理接触。因此,它不会遭受打滑或车轮磨损。此外,它可以在各种天气条件下可靠地工作,从而提供高可用性。给出了传感器的技术基础和基于原始传感器数据的速度估计算法。我们给出了在试验台上的试验结果和在试验轨道上运行的铁路车辆的试验结果。我们将传感器结果与高精度GNSS接收器和激光测速仪进行了定量比较。
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