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基于视觉引导的核电龙门架高强度螺栓超声相控阵自动检测方法

Visual-guided Ultrasonic Phased Array Automatic Inspection Method for High-strength Bolts in Nuclear Power Gantry Cranes

  • 摘要: 针对核电龙门架高位高强度螺栓人工超声检测中存在的高位接近困难、检测效率低及探头对中一致性不足等问题,本文提出一种基于视觉引导的机械臂高强度螺栓超声相控阵自动检测方法。首先,设计图像预处理流程,包括双边滤波与感兴趣区域(ROI)粗定位、色调-饱和度-明度(HSV)背景抑制、谷底自适应阈值分割、连通域过滤及距离加权Sobel梯度增强;其次,提出动态曲率阈值轮廓校正方法,以轮廓圆度为约束参数自适应调节逼近强度,在抑制局部异常边界扰动的同时保留螺帽主体几何特征,克服固定阈值方法易导致轮廓畸变的不足;最后,通过手眼标定与透视n点(PnP)求解将视觉结果转化为机械臂指令,确保探头垂直对中入射。为验证所提方法的有效性,设置锈蚀、涂层脱落和反光干扰,模拟核电龙门架实际工况进行实验验证。结果表明:本方法中心定位误差为(0.58±0.19) mm,达到亚毫米级定位精度;轮廓交并比(IoU)为89.2%,较固定阈值方法提高11.3%;检测成功率达94.6%,较传统Otsu+固定阈值方法提高9.9%,缺陷检出率为89%。该方法实时性强、鲁棒性优异,无需依赖CAD模型,为高位高强螺栓在位无损检测提供了一条高效、安全的自动化技术途径。

     

    Abstract: To address the problems of difficult high-altitude access, low inspection efficiency, and insufficient probe alignment consistency in manual ultrasonic testing of high-strength bolts on the nuclear power gantry, an automatic ultrasonic phased array testing method for high-strength bolts based on a vision-guided robotic arm was proposed in this paper. First, an image preprocessing procedure was designed, which included bilateral filtering and coarse region of interest (ROI) localization, hue-saturation-value (HSV) background suppression, valley-bottom adaptive threshold segmentation, connected component filtering, and distance-weighted Sobel gradient enhancement. Second, a dynamic curvature threshold contour correction method was proposed, in which the contour circularity was used as a constraint parameter to adaptively adjust the approximation intensity. By this method, local abnormal boundary disturbances were suppressed while the main geometric features of the nut were preserved, overcoming the deficiency of contour distortion caused by fixed-threshold methods. Finally, the visual results were transformed into robotic arm commands through hand-eye calibration and perspective-n-point (PnP) solving, ensuring that the probe was aligned vertically for normal incidence. To verify the effectiveness of the proposed method, experiments were carried out under simulated actual working conditions of the nuclear power gantry, where rust, coating peeling, and reflective interference were introduced. The results show that a center positioning error of (0.58 ± 0.19) mm is achieved by the proposed method, reaching sub-millimeter positioning accuracy. A contour intersection over union (IoU) of 89.2% is obtained, which is 11.3 percentage points higher than that of the fixed-threshold method. A detection success rate of 94.6% is achieved, which is 9.9 percentage points higher than that of the traditional Otsu plus fixed-threshold method, and a defect detection rate of 89% is obtained. The proposed method exhibits strong real-time performance and excellent robustness. Without relying on a CAD model, an efficient and safe automated technical approach is provided by this method for in-situ nondestructive testing of high-altitude high-strength bolts.

     

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