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铁路轨道的声学粗糙度测量:列车上光学测量的横向运动的运行表面检测和补偿。

Acoustic Roughness Measurement of Railway Tracks: Running Surface Detection and Compensation of Lateral Movements for Optical Measurements on a Train.

机构信息

Institute for Machine Tools and Manufacturing, ETH Zürich, 8092 Zurich, Switzerland.

Inspire AG, 8005 Zurich, Switzerland.

出版信息

Sensors (Basel). 2023 Jun 20;23(12):5764. doi: 10.3390/s23125764.

DOI:10.3390/s23125764
PMID:37420928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10301609/
Abstract

Rolling noise is a significant contributor to railway noise. Wheel and rail roughness are decisive for the emitted noise level. An optical measurement method installed on a moving train is suitable for closer monitoring of the rail surface condition. A measurement setup based on the chord method requires the sensors to be positioned in a straight line along the direction of measurement and in a stable lateral position. Measurements should always be performed within the shiny and uncorroded running surface, even when there are lateral movements of the train. In this study, concepts for the detection of the running surface and the compensation of lateral movements are investigated in a laboratory setting. The setup consists of a vertical lathe with a ring-shaped workpiece that incorporates an implemented artificial running surface. The detection of the running surface based on laser triangulation sensors and a laser profilometer is investigated. It is shown that the running surface can be detected using a laser profilometer that measures the intensity of the reflected laser light. It is possible to detect the lateral position and the width of the running surface. A linear positioning system is proposed to adjust the lateral position of the sensors based on the running surface detection of the laser profilometer. When the lateral position of the measuring sensor is disturbed by a movement with a wavelength of 18.85 m, the linear positioning system can keep the laser triangulation sensor inside the running surface for 98.44% of the measured data points at a velocity of approximately 7.5 km h-1. The mean positioning error is 1.40 mm. By implementing the proposed system on the train, future studies can be conducted to examine the lateral position of the running surface as a function of the various operational parameters of the train.

摘要

滚动噪声是铁路噪声的一个重要来源。车轮和轨道的粗糙度对发射噪声水平有决定性影响。安装在移动列车上的光学测量方法适合更密切地监测轨道表面状况。基于弦线法的测量设置要求传感器沿测量方向直线布置,并保持稳定的横向位置。即使列车有横向运动,也应始终在光亮且未腐蚀的运行表面内进行测量。在这项研究中,在实验室环境中研究了检测运行表面和补偿横向运动的概念。该设置由一台带有环形工件的垂直车床组成,该工件包含一个已实施的人工运行表面。研究了基于激光三角传感器和激光轮廓仪的运行表面检测。结果表明,可以使用测量反射激光强度的激光轮廓仪检测运行表面。可以检测到横向位置和运行表面的宽度。提出了一种线性定位系统,该系统基于激光轮廓仪的运行表面检测来调整传感器的横向位置。当测量传感器的横向位置受到波长为 18.85 m 的运动干扰时,线性定位系统可以在大约 7.5 km h-1 的速度下将激光三角传感器保持在运行表面内 98.44%的测量数据点上。平均定位误差为 1.40 毫米。通过在列车上实施所提出的系统,未来的研究可以检测运行表面的横向位置作为列车各种运行参数的函数。

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引用本文的文献

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Automatic Detection of the Running Surface of Railway Tracks Based on Laser Profilometer Data and Supervised Machine Learning.基于激光轮廓仪数据和监督式机器学习的铁路轨道运行表面自动检测
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本文引用的文献

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Long-Term Exposure to Transportation Noise and Ischemic Heart Disease: A Pooled Analysis of Nine Scandinavian Cohorts.长期暴露于交通噪声与缺血性心脏病:九项斯堪的纳维亚队列研究的汇总分析。
Environ Health Perspect. 2023 Jan;131(1):17003. doi: 10.1289/EHP10745. Epub 2023 Jan 6.
2
Transportation noise exposure and cardiovascular mortality: 15-years of follow-up in a nationwide prospective cohort in Switzerland.交通噪声暴露与心血管死亡率:瑞士全国前瞻性队列研究 15 年随访
Environ Int. 2022 Jan;158:106974. doi: 10.1016/j.envint.2021.106974. Epub 2021 Nov 11.
3
Measuring Acoustic Roughness of a Longitudinal Railhead Profile Using a Multi-Sensor Integration Technique.
使用多传感器集成技术测量纵向轨头轮廓的声学粗糙度
Sensors (Basel). 2019 Apr 3;19(7):1610. doi: 10.3390/s19071610.