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Research on identification of the corner point of 90° weld based on multi-sensor signal fusion technology

机译:基于多传感器信号融合技术的90°焊缝角度识别研究

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摘要

It is of great economic benefit to realize the automatic welding of 90° welds, and difficulty of automatic welding of 90° welds is the machine identification of the corner points of 90° welds. The math model of welding-torch pose was built, and the identification algorithms of wire extension, welding deviations, and tilt angles of welding torch have been studied respectively. In this paper, three pattern recognition algorithms are studied, and they are used to identify the corner points of 90° welds based on variation characteristics of wire extension, welding deviations, and tilt angles of welding torch, respectively. At the same time, accuracy values of three recognition algorithms have been researched respectively. On this basis, the recognition method of the corner points of 90° welds based on multi-sensor signal fusion technology has been studied in three-dimensional directions, and the calculation method for the total accuracy of corner point identification has been analyzed. At last, the corner point recognition experiments of 90° welding seam were carried out, and the change curves of wire extension, welding deviations, and tilt angles have been analyzed respectively. The welding results indicated that the corner point of 90° welding seam could be identified stably, accurately, and quickly by using the methods in this article.
机译:这是巨大的经济利益,实现90°焊缝自动焊接,形成90个焊缝自动焊接的难度是90°焊角点的机器识别。建立了焊炬姿势的数学模型,并分别研究了焊炬的焊丝延伸,焊接偏差和倾斜角度的识别算法。在本文中,研究了三种模式识别算法,它们用于基于线延伸,焊接偏差和焊炬倾斜角度的变化特性来识别90°焊缝的角点。同时,分别研究了三种识别算法的精度值。在此基础上,已经研究了基于多传感器信号融合技术的90°焊缝角点的识别方法,并分析了角点识别总准确性的计算方法。最后,进行了90°焊缝的角点识别实验,并分别分析了线延伸,焊接偏差和倾斜角的变化曲线。焊接结果表明,通过使用本文中的方法,可以稳定,准确,快速地识别90°焊缝的角点。

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