Welding monitoring method based on digital twinning

Abstract

The invention provides a welding monitoring method based on digital twinning. The method comprises the following steps that product production process data in a welding process are collected, the product production process data at least comprising product welding data; a spatter analysis program is established, and spatter points of the product in the welding process are analyzed according to the product welding data; the product welding data are input into a welding problem judgment and prediction model, and product welding quality state information and a welding quality type output by the welding problem judgment and prediction model are obtained; and on the basis of the welding quality type of the product, a corresponding process adjustment scheme is configured, and conditions for triggering the process adjustment scheme are set, so that the product welding quality problem is solved. According to the method, through real-time monitoring and self-adaptive process adjustment of the welding process of workshop products, the real-time performance and the visualization effect of welding workshop monitoring can be remarkably improved, and the welding quality is improved.

Description

technical field [0001] The invention relates to the field of workshop welding, and more specifically, to a digital twin-based welding monitoring method. Background technique [0002] With the development of information technology and the influence of the trend of the times, the level of automation and informatization in the manufacturing industry has been continuously improved, and more and more manufacturing enterprises have adopted automated production lines to engage in manufacturing activities. The use of a large number of automated production lines can greatly improve production efficiency and significantly improve the economic benefits of enterprises. However, one of the difficulties that enterprises are facing now is that due to the low level of production line information management, enterprises lack fast and effective means to manage and monitor the operation status of workshops, and there is a lack of effective information interaction between management systems and...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of poor real-time performance and visualization in the welding workshop and slow response to process adjustments in the prior art, in order to improve product quality and reduce maintenance costs, the present invention provides a welding monitoring method based on digital twins, Including: collecting product production process data in the welding process, the product production process data at least includes product welding data; establishing a spatter analysis program, analyzing the spatter points of the product in the welding process according to the product welding data; inputting product welding data into welding problems Judging the prediction model, obtaining the welding quality status information and welding quality type of the product output by the welding problem judgment and prediction model; based on the welding quality type of the product, configuring the corresponding process adjustment plan and setting the conditions for triggering the process adjustment plan, to Deal with product welding quality problems

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