Detecting and identifying method for defects on outer surface of steel pipes based on 3D detection
The interference of the surface medium of seamless steel pipes and the high leakage rate of manual inspection result in the accuracy of surface defect detection of steel pipes not meeting the re-quirements of online detection.The insufficient depth of field and uneven grayscale of imaging detec-ted by two-dimensional cameras result in low defect recognition rate,false detection of defects,and missed detection.Therefore,a 3D point cloud based steel pipe outer surface detection system was pro-posed to solve the problems of small imaging depth,low defect recognition rate,and interference de-fects on the steel pipe surface.Deep learning algorithms and 3D size measurement technology are ap-plied to defect detection of seamless steel pipes.This defect detection system is used to quantify the size of defects and detect them more accurately.The on-site defect recognition rate of this system can reach over 90％,and the detection speed is fast.In addition,this system has multiple functions such as periodic defect alarm,steel pipe surface defect statistical report printing,defect grading,etc.,mak-ing the surface defect detection system multifunctional and intelligent,which has positive significance in reducing manual labor intensity and improving the quality of seamless steel pipes.
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维普
