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XIU Yanfei, LI Haichao, HU Guangze, WANG Gang. A visual recognition algorithms for seam feature extraction of perforated plug welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(2): 75-79, 86. DOI: 10.12073/j.hjxb.20190927002
Citation: XIU Yanfei, LI Haichao, HU Guangze, WANG Gang. A visual recognition algorithms for seam feature extraction of perforated plug welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(2): 75-79, 86. DOI: 10.12073/j.hjxb.20190927002
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A visual recognition algorithms for seam feature extraction of perforated plug welding

  • 1.

    Shan Dong Nuclear Power Equipment Manufacturing Company, Yantai, 265118, China

  • 2.

    Yantai Nuclear Equipment Engineering Technology and Research Center, Yantai, 265118, China

  • 3.

    State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin, 50001, China

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  • Received Date: September 26, 2019
  • Available Online: July 12, 2020
    Graphical Abstract
    • Abstract
  • A visual recognition algorithms for seam feature extraction was studied for intelligent adaptive welding of the perforated plug joint between steel-plate and rebar in the shield building of the third generation nuclear power station. In view of the complex characteristics on plug hole size, root gap, inclination angle of perforated plug joint, the double stripe laser vision sensing technology based on the discrete data simulation relation curve was used to identify the area to be welded before welding, The feature datas affecting weld formation were extracted, including the center coordinates and diameter of plug welding hole, the height of rebar-end above steel-plate, the inclination angle of joint, the gap of weld seam, etc., which provide the basic data for the joint planning of welding torch’s gesture and welding process parameters. The error analysis of the extraction accuracy of the algorithm was carried out by comparing the measured sample data. The results show that the center coordinates deviation in the x, y direction are within the range of ± 0.2 mm, the angle deviation in the Rx, Ry direction is within the range of ± 0.2 degree, which realizes the high precision and reliability of feature extraction of perforated plug welding.
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    • References (12)
  • Zhang Jiyang, Li Jinyan. Feature extraction of welding defect based on machine vision[J]. China Welding, 2019, 28(1): 56 − 62.
    Xue Boce, Chang Baohua, Peng Guodong, et al. A vision based detection method for narrow butt joints and a robotic seam tracking system[J]. Sensors (Basel, Switzerland), 2019, 19(5): 1144. doi: 10.3390/s19051144
    Fan Junfeng, Jing Fengshui, Yang Lei, et al. A precise seam tracking method for narrow butt seams based on structured light vision sensor[J]. Optics and Laser Technology, 2019, 109: 616 − 626. doi: 10.1016/j.optlastec.2018.08.047
    Zou Yanbiao, Chen Xiangzhi, Gong Guoji, et al. A seam tracking system based on a laser vision sensor[J]. Measurement, 2018, 127: 489 − 500. doi: 10.1016/j.measurement.2018.06.020
    Yang Lei, Li En, Long Teng, et al. A high-speed seam extraction method based on the novel structured-light sensor for arc welding robot[J]. IEEE Sensors Journal, 2018, 18(21): 8631 − 8641.
    张鹏贤, 张国强, 韦志成, 等. 坡口及焊缝表面三维轮廓的激光视觉测量[J]. 焊接学报, 2017, 38(12): 85 − 89. doi: 10.12073/j.hjxb.20160331003

    Zhang Pengxian, Zhang Guoqiang, Wei Zhicheng, et al. Laser vision measurement of groove and weld surface[J]. Transactions of the China Welding Institution, 2017, 38(12): 85 − 89. doi: 10.12073/j.hjxb.20160331003
    甘宏, 张超, 李林, 等. 复杂背景下激光条纹中心亚像素提取方法[J]. 光电工程, 2019, 46(02): 85 − 92.

    Gan Hong, Zhang Chao, Li Lin, et al. Sub-pixel extraction of laser stripe in complex background[J]. Opto-Electronic Engineering, 2019, 46(02): 85 − 92.
    Shah H N M, Sulaiman M, Shukor A Z, et al. Butt welding joints recognition and location identification by using local thresholding[J]. Robotics and Computer-Integrated Manufacturing, 2018, 51: 181 − 188. doi: 10.1016/j.rcim.2017.12.007
    Yanling Xua, Na Lva, Gu Fangb, et al. Welding seam tracking in robotic gas metal arc welding[J]. Journal of Materials Processing Technology, 2017, 248: 18 − 30. doi: 10.1016/j.jmatprotec.2017.04.025
    邹焱飚, 周卫林, 陈向志. 基于深度分层特征的激光视觉焊缝检测与跟踪系统研究[J]. 中国激光, 2017, 44(4): 95 − 106.

    Zou Yanbiao, Zhou Weilin, Chen Xiangzhi. Research of laser vision seam detection and tracking system based on depth hierarchical feature[J]. Chinese Journal of Lasers, 2017, 44(4): 95 − 106.
    Zhang K, Yan M, Huang T, et al. 3D reconstruction of complex spatial weld seam for autonomous welding by laser structured light scanning[J]. Journal of Manufacturing Processes, 2019, 39: 200 − 207. doi: 10.1016/j.jmapro.2019.02.010
    Rodríguez-Gonzálvez P, Rodríguez-Martín M, Ramos Luís F, et al. 3D reconstruction methods and quality assessment for visual inspection of welds[J]. Automation in Construction, 2017, 79: 49 − 58. doi: 10.1016/j.autcon.2017.03.002
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