A welding monitoring method based on digital twin

Abstract

The invention provides a welding monitoring method based on digital twin, which includes: collecting product production process data in the welding process, the product production process data at least including product welding data; establishing a spatter analysis program, and analyzing the welding process according to the product welding data The spatter point of the product; input the product welding data into the welding problem judgment prediction model, and obtain the welding quality status information and welding quality type of the product output by the welding problem judgment prediction model; configure the corresponding process adjustment based on the welding quality type of the product program and set the conditions that trigger the process adjustment program to deal with product welding quality issues. Through the real-time monitoring and self-adaptive process adjustment of the welding process of the workshop products, the present invention can significantly improve the real-time performance and visualization effect of the welding workshop monitoring and improve the welding quality.

Description

technical field [0001] The invention relates to the field of workshop welding, and more particularly, to a welding monitoring method based on digital twin. 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 are engaged in production and manufacturing activities by means of automated production lines. A large number of automated production lines put into use can greatly improve production efficiency and significantly improve the economic benefits of enterprises. However, a problem faced by the current enterprises is that due to the low level of information management of the production line, the enterprise lacks fast and effective means to manage and monitor the operation status of the workshop, and there is a lack of effective information interaction between ...

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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