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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Online welding path detection in automatic tube-to-tubesheet welding using passive vision
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Online welding path detection in automatic tube-to-tubesheet welding using passive vision

机译:使用被动视觉在线焊接路径检测自动管焊接焊接

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摘要

A passive vision system based on image processing technology for automatic welding system is researched in order to enhance the efficiency for the tube-to-tubesheet welding of heat exchanger in this paper. To this end, the detection and extraction methods of the welding path are studied in tubesheet welding through the passive vision system. A calibration procedure is proposed for the vision system, and the positional relationships between the cameras and the robot are obtained. The Hough transform is used to extract the tubes' position roughly through a camera that is fixed above the workpiece, and another camera is used to extract the feature of the tubes accurately one by one. A multiple iteration method of least squares is also proposed in this paper to remove the background noises. The edge of the inside tube circle is accurately extracted, and the welding path is obtained. Validation experiments are finally conducted to confirm the reliability and accuracy of this method.
机译:研究了一种基于图像处理技术的无源视觉系统,以提高本文热交换器管对管板焊接的效率。 为此,通过被动视觉系统在管板焊接中研究了焊接路径的检测和提取方法。 为视觉系统提出了一种校准程序,并且获得了相机与机器人之间的位置关系。 霍夫变换用于大致通过固定在工件上方的相机的管子的位置,并且另一个相机用于将管的特征逐一提取。 在本文中还提出了一种最小二乘法的多次迭代方法,以去除背景噪声。 精确提取内管圈的边缘,获得焊接路径。 终于进行了验证实验以确认该方法的可靠性和准确性。

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