A deep penetration argon arc welding image optimization method and system based on pulse triggered imaging

By using pulse-triggered imaging and HDR cameras, combined with adaptive algorithms for exposure time series and image fusion algorithms, high dynamic range welding images are obtained, which solves the problems of underexposure and overexposure in traditional imaging technology and achieves high quality and stability of welding images.

CN118587108BActive Publication Date: 2025-09-23SOUTH CHINA UNIV OF TECH
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Patent Information

Application Number
CN202410741083.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-07
Publication Date
2025-09-23
Estimated Expiration
2044-06-07

AI Technical Summary

Technical Problem

During deep-penetration argon arc welding, the high brightness differences in the welding area make it difficult for traditional imaging technology to capture high-quality images, and the fixed setting of exposure time is difficult to adapt to changes in different welding processes, resulting in unstable image quality.

Method used

Pulse-triggered imaging technology and a high dynamic range (HDR) camera are used to acquire high dynamic range welding images by adaptively adjusting the exposure time sequence and image fusion algorithm. The response function of the HDR camera and the gradient extremum method are used to determine the edge of the welding area and generate a clear welding image.

Benefits of technology

It improves the quality and clarity of welding images, ensures the accuracy of welding area edge detection, realizes stable monitoring and evaluation of the welding process, improves the real-time monitoring and quality evaluation capabilities of the welding process, provides a reliable basis for real-time monitoring and quality evaluation of the welding process, and helps operators make timely adjustments and optimizations.

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Abstract

The present invention proposes a deep penetration argon arc welding image optimization method and system using pulse-triggered imaging. By combining pulse-triggered imaging technology with an HDR camera and applying an adaptive algorithm for parameter optimization, the clarity, dynamic range, and detail display capability of the welding image are improved, and the technical problems of low contrast, difficulty in detecting keyholes and molten pool edges, and difficulty in selecting exposure time sequences, which exist in traditional deep penetration argon arc welding image digitization methods, are solved. The present invention can dynamically adjust the parameters and image processing algorithms of the HDR camera according to the quality of the welding image and the welding progress to adapt to different welding conditions and requirements. Therefore, the invention has high practicality and application prospects, and can be used for the digitization and analysis of welding images during deep penetration argon arc welding, providing a reliable technical means for welding quality control and process optimization.
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