Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1611003(2022)

Laser Visual Guided Pipeline Weld Seam Identification and Tracking System

Shujuan Yang, Yi Jiang*, Jianfeng Yu, and Chunjian Hua
Author Affiliations
  • Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology, School of Mechanical Engineering, Jiangnan University, Wuxi 214122, Jiangsu , China
  • show less
    References(19)

    [1] Xiang J, Yang F. The development of seam tracking technology based on sensors[J]. China Plant Engineering, 220-221(2021).

    [2] Zhu Y, Ling Z G, Zhang Y Q. Research progress and prospect of machine vision technology[J]. Journal of Graphics, 41, 871-890(2020).

    [3] Chen X Y, Zhang Q X, Zhu L L et al. The method of real time seam tracking for robotic welding system based on laser vision sensor[J]. Laser & Infrared, 51, 421-427(2021).

    [4] Liu T Y, Bao J S, Wang J L et al. Laser Welding Penetration State Recognition Method Fused with Timing Information[J]. Chinese Journal of Lasers, 48, 0602119(2021).

    [5] Xu D, Zhao X G, Tu Z G et al. Automated measurement of weld seam based on structured light stereovision[J]. Transactions of the China Welding Institution, 25, 45-48, 52(2004).

    [6] Liu X W, Hong B, Dai T F. Laser vision seam tracking image processing and groove recognition[J]. Laser and infrared, 41, 804-807(2011).

    [7] Sun H Y, Liang D T, Li G P et al. Weld seam recognition algorithm based on constraint Kalman filter[J]. Laser & Infrared, 46, 1006-1013(2016).

    [8] Feng L, Xie J S, Li G et al. Review of camera calibration principles and methods[J]. Mechanical Engineer, 18-20(2016).

    [9] Yu L L, Li Y W, Luan Y B et al. Line structured light calibrating based on two-dimensional planar target[J]. Chinese Journal of Scientific Instrument, 41, 124-131(2020).

    [10] Ren J X, Zhang X, Liu S L et al. A high precision hand-eye calibration method for robot[J]. Modern Manufacturing Engineering, 44-51(2020).

    [11] Kang C F, Wang H W, Zhang P F et al. Study and realization of tool coordinate frame calibration for welding robots[J]. Journal of Beijing University of Technology, 42, 30-34(2016).

    [13] Du J Z, Zhang Y X, Jingjing Wang J J et al. Weld Path Identification Based on Kernel Correlation/Kalman Filters[J]. Chinese Journal of Lasers, 49, 0202009(2022).

    [14] Han D X, Zhong B J. Edge thinning algorithm based on gradient mask filter[J]. Laser & Optoelectronics Progress, 57, 181016(2020).

    [15] Wu Q H, Zhou Y, Li Z Q et al. Extracting method for light strip center of linear structural light based on dual frequency curve fitting[J]. Laser & Optoelectronics Progress, 57, 141502(2020).

    [16] Liu Y, Wang G, Wang G D et al. For machine vision image acquisition and image processing of weld[J]. Computer Engineering and Applications, 50, 135-140(2014).

    [17] Zhang Y T, Jia Y M. Analysis and program implementation of least squares polynomial curve fitting[J]. Computer & Digital Engineering, 45, 637-639, 654(2017).

    [18] Wang G H, Qian K M. Review on line-scan camera calibration methods[J]. Acta Optica Sinica, 40, 0111011(2020).

    [19] Nie X B, Chen Y F. Kinematics analysis of the welding robot[J]. Process Automation Instrumentation, 34, 67-72(2013).

    Tools

    Get Citation

    Copy Citation Text

    Shujuan Yang, Yi Jiang, Jianfeng Yu, Chunjian Hua. Laser Visual Guided Pipeline Weld Seam Identification and Tracking System[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1611003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Imaging Systems

    Received: Jun. 15, 2021

    Accepted: Jul. 9, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Yi Jiang (jiangyi@jiangnan.edu.cn)

    DOI:10.3788/LOP202259.1611003

    Topics