Welding robot vision assembly and measuring method thereof

Abstract

The invention discloses a welding robot vision assembly and a measuring method thereof. The measuring method comprises the following steps: an industrial personal computer controls a global positioning vision assembly to collect workpiece image information and sends workpiece fine positioning measurement position information to a welding robot control system; the welding robot control system controls a welding gun of the welding robot to move a fine positioning visual assembly to a fine positioning measurement point; the industrial personal computer controls the fine positioning visual assembly to collect a workpiece weld joint image, calculates coordinates of a starting point and an ending point of a workpiece weld joint, and automatically generates a welding path of the workpiece weld joint; and the industrial personal computer guides the welding gun to move to a weld joint starting point for arc starting welding and to the ending point for arc extinguishing, and welding of the welding joint is completed. The welding robot vision assembly has the advantages of being free of teaching, high in welding efficiency, high in system tolerance and high in flexibility.

Description

technical field [0001] The invention belongs to the technical field of welding robots, and in particular relates to a welding robot vision component and a measuring method thereof. Background technique [0002] The welding robot system has been widely used in industrial sites. Compared with manual welding, it has the advantages of stable and reliable welding quality, good consistency, continuous work, and labor saving. However, at present, welding robots generally need manual teaching, which seriously restricts the welding efficiency, which is even lower than that of manual welding. When the workpiece has blanking deviation, processing deviation, assembly deviation and clamping deviation, etc. Welding, making the welding robot unusable. In addition, the current welding robot mainly integrates mature laser seam sensors, but the premise of the work of the seam sensor is based on prior information (such as the shape of the seam, the approximate position of the starting point o...

AI Technical Summary

Problems solved by technology

However, at present, welding robots generally need manual teaching, which seriously restricts the welding efficiency, which is even lower than that of manual welding. When the workpiece has blanking deviation, processing deviation, assembly deviation and clamping deviation, etc. Welding, making the welding robot unusable

In addition, the current welding robot mainly integrates mature laser seam sensors, but the premise of the work of the seam sensor is based on prior information (such as the shape of the seam,

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