Flatness Measurement of Platform Screen System Welding Assembly Using Stereo Vision and Grid Pattern Projector

被引:3
作者
Chen, Shengfeng [1 ]
Su, Chongyang [1 ]
Liu, Jian [1 ]
Chen, Bing [1 ]
Tian, Qi [1 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Manufacture Vehicle Bo, Changsha 410082, Hunan, Peoples R China
关键词
Welding; Pollution measurement; Robots; Robot kinematics; Cameras; Three-dimensional displays; Calibration; Flatness measurement; flatness measuring robot; grid intersection probability calculation; stereo vision; machine vision; CAMERA CALIBRATION; EXTRACTION METHOD;
D O I
10.1109/JSEN.2021.3128568
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The welding assemblies are the main components of the platform screen door system, which can offer the subway with safety, economy, and silence. The deformed welding assemblies can reduce the carrying capacity of the platform screen door system, so the flatness needs to be measured before installation. In this study, a flatness measuring robot based on stereo vision and grid pattern projector measuring system is developed to online measure the welding assembly flatness in workshop. The developed robot is capable of measuring the flatness by incorporating the following solutions: 1) measuring system consisting of stereo vision and grid pattern projector is designed; 2) grid intersection location method using grid intersection probability calculation, candidate preselection, grid intersection reexamination and sub-pixel refinement is proposed, which can consider both false positives and false negatives by using preselection-and-reexamination; 3) 3D coordinates of sampling points (grid intersection) are calculated based on stereo camera calibration and robot hand-eye calibration; 4) flatness measuring method based on the least squares plan is employed to calculate the flatness of welding assembly. The developed flatness measuring robot is robust, accurate, and efficient, as demonstrated by the following performances: an average measuring bias of 0.10 mm in actual working conditions, and an average measurement time of 4.1 s for single welding assembly, meeting the engineering requirements. It is foreseeable that the developed flatness measuring robot has great application market in the online measurement with a middling accuracy and high efficiency.
引用
收藏
页码:948 / 958
页数:11
相关论文
共 32 条
  • [1] Andrew Alex M, 2001, KYBER NETES
  • [2] Investigation of Skewness Feature for Evaluation of Defects Using Eddy Current Pulsed Thermography
    Chen, Xiaotian
    Tian, Guiyun
    Ding, Song
    Wu, Jianbo
    [J]. IEEE SENSORS JOURNAL, 2019, 19 (24) : 12118 - 12125
  • [3] Feature-Based Registration for 3D Eddy Current Pulsed Thermography
    Chen, Xiaotian
    Tian, Guiyun
    Wu, Jianbo
    Tang, Chaoqing
    Li, Kongjing
    [J]. IEEE SENSORS JOURNAL, 2019, 19 (16) : 6998 - 7004
  • [4] A laser-based machine vision measurement system for laser forming
    Ding, Yaoyu
    Zhang, Xuebiao
    Kovacevic, Radovan
    [J]. MEASUREMENT, 2016, 82 : 345 - 354
  • [5] Flatness measurement system based on a nonlinear optical triangulation technique
    Garcia, DF
    Garcia, M
    Obeso, F
    Fernandez, V
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2002, 51 (02) : 188 - 195
  • [6] Geiger A., 2012, P 2012 IEEE INT C RO
  • [7] A method to minimize the workpiece deformation using a concept of intelligent fixture
    Gonzalo, Oscar
    Seara, Jose Mari
    Guruceta, Enrique
    Izpizua, Alberto
    Esparta, Mikel
    Zamakona, Iker
    Uterga, Nicolas
    Aranburu, Axier
    Thoelen, Johannes
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2017, 48 : 209 - 218
  • [8] Harris C., 1988, Proc. of Fourth Alvey Vision Conference, V15, P10
  • [9] 3D measurement system based on divergent multi-line structured light projection, its accuracy analysis
    Li, Wenguo
    Hou, Dameng
    Luo, Zixin
    Mao, Xueyi
    [J]. OPTIK, 2021, 231
  • [10] Optical fiber positioning based on four-quadrant detector with Gaussian fitting method
    Liu, Jin-Sheng
    Zou, Hua
    Zhang, Mei-Ling
    Wang, Lin-Zheng
    [J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2017, 17 (07)