Research Status of Weld Defect Detection in Pipeline Welding
The current status and development trends of weld defect detection methods in the field of pipeline welding were studied in this paper.Through a comprehensive comparison between traditional non-destructive detection methods and computer deep learning technology detection methods,it is found that traditional methods have limitations in accuracy and efficiency.Therefore,the introduction of computer deep learning technology and the introduction of weld defect detection methods based on various algorithms were introduced.The results indicate that these methods are superior to traditional methods in weld seam detec-tion.In the future,new models were introduced and making the pipeline weld detection technology develop towards automation,intelligence,full digitalization,and informatization,and its application prospects in practical engineering was explored to im-prove the quality and safety of pipeline welding.
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