建立小口径管X射线远程实时监控检测系统, 能够直观地检测出焊缝中的气孔、夹渣、未熔合、未焊透、裂纹等缺陷, 并对检出的缺陷报警提示, 克服传统人工评片操作人员的技术水平和主观经验的影响, 以及检测效率低、操作复杂、检测过程不易实现自动化等特点。采用神经网络技术与模糊推理原则建立专家系统, 实现小口径管焊缝缺陷自动识别, 缺陷统计, 出具相关无损检测记录及报告, 并对检测过程实现远程监控, 实时查看产品质量, 提高质量管理水平。

An X-ray remote real-time monitoring system using small-caliber tube was built up which can visually detect the weld porosity, slag, lack of fusion, incomplete penetration, cracks and other defects and also can provide defect alarm function. So developed system can overcome the effect of the operators subjective experience and technical limitations on the assessment of the quality of the films, and at the same time it can overcome the low detection efficiency, operation complexity and difficulty in realizing the automation of the detection process. An expert system based on the principles of reasoning and fuzzy neural network technology was built up for automatic tube weld defects identification, defect statistics, and issuing the relevant NDT records and reports. The system can provide the testing process of remote monitoring and real-time viewing product quality, thus improving the management level.