Weld pool monitoring system and penetration monitoring method for assembly gap welding and misalignment feedforward

Abstract

The invention relates to a weld pool monitoring system and a penetration monitoring method for assembly gap welding and misalignment feedforward. The system comprises an industrial personal computer,a welding unit, a visual sensing unit and a data acquisition and control unit, wherein the visual sensing unit comprises a groove contour scanner and an industrial camera, the industrial camera is connected with a laser auxiliary light source, the groove contour scanner is connected with the data acquisition and control unit, the industrial camera is connected with the industrial personal computer, and the welding unit and the industrial personal computer are connected with the data acquisition and control unit. Compared with the prior art, the visual sensing unit and the data acquisition andcontrol unit are additionally arranged on the basis of conventional communication modules of a welding machine and a robot, so that parameters in the welding process are acquired, and the groove contour scanner is used for acquisition and measurement according to random assembly conditions, so that the welding penetration state is accurately monitored.

Description

technical field [0001] The invention relates to the technical field of welding quality control, in particular to a molten pool monitoring system and a penetration monitoring method for welding assembly gaps and offset feedforward. Background technique [0002] Welding is a nonlinear, time-varying, and strongly coupled complex process. To accurately monitor the state of the welding process, it is necessary to use multiple sensors to obtain information and perform multi-information fusion to predict and evaluate the welding penetration state. Currently used sensing methods include molten pool visual sensing, arc sound sensing, and electrical signal sensing such as welding current and arc voltage, etc., for example, patent CN101224519B "Arc welding robot welding monitoring system based on visual sensing". However, the existing methods have the following deficiencies: first, the image acquisition method for the molten pool is mainly passive vision, which is easily disturbed by t...

AI Technical Summary

Problems solved by technology

However, the existing methods have the following deficiencies: first, the image acquisition method for the molten pool is mainly passive vision, which is easily disturbed by the arc light, which increases the difficulty and accuracy of the image processing of the molten pool; secondly, the welding assembly error and the welding process Thermal deformation in will affect the state of penetration

At present, there is no welding quality monitoring method that combines assembly gap and misalignment information

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