摘要
本文根据壳体电子束焊缝无损检测的具体检测工序和实际应用需求,提出了面向壳体电子束焊缝的无损检测信息管理系统。该管理系统集成了用户委托申请信息、检测工序信息、原始检测信息、无损检测报告信息等信息管理模块;重点研发了面向X射线图像的小波包滤波功能。基于TOP K Hash值的图像相似度快速检索功能和YOLOv5模型的人工智能的缺陷自动识别功能,可有效提高焊缝缺陷信息管理的办公效率和检测效率。
According to the specific detection process and practical application requirements of nondestructive testing of shell electron beam welds, this paper proposes a nondestructive testing information management system for shell electron beam welds. The management system integrates information modules such as user entrusted application information, testing process information, original testing information, non-destructive testing report information, etc. and focuses on developing the function of wavelet packet filtering for X-ray images. The function of rapid retrieval of image similarity based on TOP K Hash value and the automatic identification function of defects based on artificial intelligence can effectively improve the office efficiency and detection efficiency of weld defects.
出处
《软件工程与应用》
2022年第5期1005-1016,共12页
Software Engineering and Applications