• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 55 Issue 6
Dec.  2020
Turn off MathJax
Article Contents
LI Wentao, WANG Peijun, WANG Meng, CHEN Peng, LI Bailin. Laser Visual Dynamic Measurement of Rail Wear on Complete Profile[J]. Journal of Southwest Jiaotong University, 2020, 55(6): 1328-1336. doi: 10.3969/j.issn.0258-2724.20180821
Citation: LI Wentao, WANG Peijun, WANG Meng, CHEN Peng, LI Bailin. Laser Visual Dynamic Measurement of Rail Wear on Complete Profile[J]. Journal of Southwest Jiaotong University, 2020, 55(6): 1328-1336. doi: 10.3969/j.issn.0258-2724.20180821

Laser Visual Dynamic Measurement of Rail Wear on Complete Profile

doi: 10.3969/j.issn.0258-2724.20180821
  • Received Date: 30 Sep 2018
  • Rev Recd Date: 22 Nov 2018
  • Available Online: 07 Mar 2020
  • Publish Date: 15 Dec 2020
  • Rail wear directly affects the safety of the railway transportation. To replace the current manual measurement methods and improve the measurement accuracy and efficiency, a laser rail full-profile visual measurement system was researched and designed to realize the dynamic measurement of rail wear. Firstly, the hardware structure of the laser measurement unit was designed by calculating laser vision measurement model. Then, the checkerboard plane calibration method was used to precisely calibrate the laser measurement unit to obtain the projection relationship between the laser plane and the camera plane, so the laser image of rail profile could be converted to the actual profile of rail. Based on the same characteristics of rail head profile on both sides at the same section which could be extracted by Euclidean clustering and distance segmentation, the full profile of rail section could be synthesized by ICP registration method. Finally, the waist contour and characteristic points of the unworn rail on both sides were taken as the datum, the full profile of the measured rail was compared with the standard rail profile, so rail wear was calculated from the difference between them. The laser measurement units were mounted on a self-developed rail measurement trolley for field measurement tests. The results show that the calibration accuracy of the measurement system can reach 4.922 × 10−3 mm and the measurement speed can reach 21.6 km/h. Compared with the rail wear gauge, the average deviation of vertical wear and horizontal wear of this system is 0.023 mm and 0.093 mm. The maximum deviation of the system for repeated measurement of the same object is less than 0.05 mm. The new system meets the demand of rail wear measurement, improves the measurement efficiency, and is convenient for the digital management of railway survey.

     

  • loading
  • 金学松,李霞,李伟,等. 铁路钢轨波浪形磨损研究进展[J]. 西南交通大学学报,2016,51(2): 264-273. doi: 10.3969/j.issn.0258-2724.2016.02.006

    JIN Xuesong, LI Xia, LI Wei, et al. Review of rail corrugation progress[J]. Journal of Southweat Jiaotong University, 2016, 51(2): 264-273. doi: 10.3969/j.issn.0258-2724.2016.02.006
    成都铁路局. 轨道检测技术[M]. 北京: 中国铁道出版社, 2008: 92-95.
    WANG C, MA Z, LI Y, et al. Distortion calibrating method of measuring rail profile based on local affine invariant feature descriptor[J]. Measurement, 2017, 110(6): 11-21.
    LIU Z, LI F, HUANG B, et al. Real-time and accurate rail wear measurement method and experimental analysis[J]. Journal of the Optical Society of America A —Optics Image Science and Vision, 2014, 31(8): 1721-1729. doi: 10.1364/JOSAA.31.001721
    YI B, YANG Y, YI Q, et al. Novel method for rail wear inspection based on the sparse iterative closest point method[J]. Measurement Science and Technology, 2017, 28(12): 1252-1258.
    王培俊,吕东旭,陈鹏. 高速道岔尖轨点云的复合拼接及数据处理优化[J]. 西南交通大学学报,2018,53(4): 806-812. doi: 10.3969/j.issn.0258-2724.2018.04.019

    WANG Peijun, LU Dongxu, CHEN Peng. Complex point cloud registration and optimized data processing for high-speed railway turnout[J]. Journal of Southweat Jiaotong University, 2018, 53(4): 806-812. doi: 10.3969/j.issn.0258-2724.2018.04.019
    MINBASHI N, BAGHERI M, GOLROO A, et al. Turnout degradation modelling using new inspection technologies: a literature review[C]//Current Trends in Reliability, Availability, Maintainability and Safety.[S.l.]: Springer International Publishing, 2016: 49-63.
    RUSU M, ROBERTS C, KENT S. The use of a laser based trolley for railway switch and crossing inspection[J]. International Journal of COMADEM, 2013, 16: 13-23.
    SUN J, LIU Z, ZHAO Y, et al. Motion deviation rectifying method of dynamically measuring rail wear based on multi-line structured-light vision[J]. Optics And Laser Technology, 2013, 50(2): 25-32.
    伯特霍尔德•霍恩. 机器视觉[M]. 北京: 中国青年出版社, 2014: 19-29.
    徐刚. 由2维影像建立3维模型[M]. 武汉: 武汉大学出版社, 2006: 6-14.
    ZHANG Z Y. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334. doi: 10.1109/34.888718
    MADSEN K, NIELSEN H B, TINGLEFF O. Methods for nonlinear least squares problems[J]. Society for Industrial & Applied Mathematics, 2004(1): 1409-1415.
    RAVISHANKAR S, DUTT H N V, GURUMOORTHY B. Automated inspection of aircraft parts using a modified ICP algorithm[J]. International Journal of Advanced Manufacturing Technology, 2010, 46(1/2/3/4): 227-236.
    EGGERT D W, LORUSSO A, FISCHER R B. Estimating 3-D rigid body transformations:a comparison of four major algorithms[J]. Machine Vision And Applications, 1997, 9(5/6): 272-290.
    孙丰荣,刘积仁. 快速霍夫变换算法[J]. 计算机学报,2001,24(10): 1102-1109. doi: 10.3321/j.issn:0254-4164.2001.10.013

    SUN Fengrong, LIU Jiren. Fast hough transform algorithm[J]. Chinese Journal Computer, 2001, 24(10): 1102-1109. doi: 10.3321/j.issn:0254-4164.2001.10.013
    中华人民共和国铁道部. 高速铁路无砟轨道线路维修规则(试行)[M]. 北京: 中国铁道出版社, 2013: 20-23.
    STEGER C. An unbiased detector of curvilinear structures[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(2): 113-125. doi: 10.1109/34.659930
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(9)  / Tables(2)

    Article views(918) PDF downloads(69) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return