一种基于图像识别的螺栓紧固方法

X. Duan, Yonggui Wang, Meng Li, Xiangzhan Kong, Syed Amjad Ali
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引用次数: 0

摘要

由于蒸汽发生器工作环境复杂、危险,工作人员在完成堵板螺栓紧固时存在一定的危险性。介绍了一种基于图像识别的螺栓紧固方法。机械结构和控制系统逐渐被提出作为该方法的载体。图像识别采用Canny算法实现图像二值化并绘制图像计数器。利用多边形曲线算法得到六边形后,利用六边形空间矩得到六边形的中心配值。此外,还展示了适应扭矩和时间控制方法的紧固螺栓方法。最后通过精度和螺栓实验验证了图像识别和螺栓紧固过程。
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A fastening bolt method based on image recognition
Since the intricate and dangerous working environment of steam generator, it's risk for workers to complete fastening bolts of blocking plate. The paper introduces a fastening bolt method based on image recognition. The mechanical structure and control system were proposed gradually to be a carrier for the method. Then the image recognition adapted the Canny algorithm to realize the image binaryzation and draw the image counter. After the polygonal curve algorithm was utilized to get the hexagon, the center coordination values of the hexagon was obtained by the hexagonal spatial moment. In addition, the fastening bolt method was displayed, which adapted the torque and time control method. Finally the precision and bolt experiment validated the procedure of the image recognition and fastening bolt.
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