Magnetic Particle Inspection Defect Recognition Automation System Design And Development

With the increasingly fierce international competition, a higher request to function and performance of products are brought forward in all walks of life. Magnetic detection, as the most effective and safe means of detecting the bruiser on and near the surface of magnetic materials so far, has been widely used. But the currently used magnetic detection equipment still can't get rid of the problem of finally recognizing the defects by using manual observation. The main shortcomings are as follows:First, the detection speed is slow with low efficiency; Second, big operating personnel labor intensity, along with monotonic and cyclic job contents, leads to high leak detection rate; Third, the UV-light on the job site poses sever health hazard to the operating personnel working long hours. To overcome the above shortcomings, a new automatic flaw recognition system of fluorescent magnetic detection is designed to automatically recognize the bruise by using computers instead of human eyes.This paper first analyzes relevant technology development and research situation of the design of automatic flaw recognition system of magnetic detection, and points out the shortcomings of current technology. The modularizing design method is adopted, and an overall structure and its realization method are built based on the magnetic detection technology and computer vision processing technique. Through analyzing magnetic marks photos, capturing the difference between target information and false information, combined with threshold method and mathematical morphology treatment theory, two color image segmentation methods are designed based on gradient difference, and the target information and the background information are separated accurately. And then the single connected region is extracted efficiently based on the optimization of region growing algorithm, and the true and the false of the bruise is precisely judge based on the character differences between true and false flaw. Last, the whole scheme is accomplished based on the utilization of VC6.0 and OpenCV.The automatic flaw recognition system of magnetic detection is debugged on the CJW-1000 magnetic detection experimental platform. The results demonstrates that the system runs steadily, the effects are good, which achieved the design targets, and established foundation for the maturity and perfection of the research works of automatic fluorescent magnetic detection equipment.