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Panoramic Stitching of Reactor Core Image

Since the nuclear reactors need frequent replacement of fuel rods, it is necessary to accurately determine the type of reactor core fuel rods and their installation positions through image stitching technology. Herein, the global and local virtual two-dimensional coordinate mapping models have been established in terms of the distribution relationship of fuel rods installation positions. When identifying the local target, the local pictures are taken, then the location of local targets in the fuel rods are recognized through deep learning. After that, each local virtual 2D coordinate model is rotated, translated and scaled by the location of the local targets. Afterwards, the position of the fuel rod in each local image and the position coordinates of the transformed local virtual two-dimensional coordinate mapping model are employed to determine the spatial distance. The fuel rod is roughly positioned, and finally the position of the fuel rod is precisely positioned by template matching. Therefore, the reactor core panoramic image can be obtained. The simulation results display the proposed strategy can effectively detect the category and installation positions of fuel rods. Moreover, the stable panoramic stitching result indicates this system have the wonderful application prospect in the proofreading work of the reactor core fuel rods.