FPGA-based end plug defect detection device and method

Abstract

The invention discloses an FPGA-based end plug defect detection device. The device comprises an image collecting module, a signal transfer module, an FPGA master control module and an upper computer,wherein the image collecting module is used for collecting the lateral surface image and upper surface image data of an end plug and using a signal transfer plate as the transmission conversion mediumto convert the LVDS type image data into TTL type data and transmit the TTL type data to the FPGA master control module; the FPGA master control module is mainly used for processing the end plug image data, detecting end plug defects and transmitting the result to the upper computer for display. The device has the advantages that machine vison and the FPGA-based image processing technology are applied to end plug surface defect detection, and the instantaneity and precision of end plug detection are guaranteed effectively.

Description

technical field [0001] The invention relates to the technical field of end plug surface defect detection, in particular to an FPGA-based end plug surface defect detection device. Background technique [0002] The end plug is an important part of the nuclear reaction fuel rod, which is mainly used to seal the fuel rod to prevent the nuclear reaction product from overflowing. During the actual processing, manufacturing and mid-transportation of the end plug, due to mechanical aging, material or human reasons, scratches, bruises or other defects will appear on the side surface of the end plug, and foreign objects or burrs will appear in the center hole of the end plug. . For the defect detection on the surface of the end plug, there is no mature method and corresponding non-destructive detection device based on machine vision. At present, the traditional human eye detection method is used for the detection of defects on the surface of the end plug. This detection method is la...

AI Technical Summary

Problems solved by technology

At present, the traditional human eye detection method is used for the detection of defects on the surface of the end plug. This detection method is labor-intensive and low in detection efficiency. The detection accuracy is easily affected by the physical visual fatigue of the staff and personal subjectivity, which is inevitable. cause missed detection or false detection, and also need to consume a lot of human resources

[0003] In addition, in recent years, an end plug surface defect detection method based on the ultrasonic principle has emerged. Xu Yan et al. proposed an ultrasonic detection method using an end plug surface chute to detect end plug surface defects. This detection method is relatively expensive. And it is not easy to detect workpieces with complex surface shapes, which does not meet the production requirements for end plug defect detection

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