基于正交多波束图像声呐的水下缺陷桩快速三维重建方法

3D RECONSTRUCTION METHOD FOR UNDERWATER DEFECTIVE PILES BASED ON ORTHOGONAL MULTIBEAM IMAGE SONAR

  • 摘要: 为解决复杂环境下,传统光学成像技术检测水下混凝土桩效果不佳且检测结果不直观的问题,本文提出一种基于多波束图像声呐的水下缺陷桩快速三维重建方法。该方法通过水下机器人同时搭载两台正交姿态的多波束图像声呐,在桩基周围多个方位和不同入水深度采集声呐图像,经图像预处理、缺陷轮廓特征点提取、多视角轮廓拼接及多深度轮廓堆叠,完成对水下缺陷桩的三维重建。试验结果显示,该方法对凹陷、孔洞类缺陷的重建误差较低,且能够较好地还原、展示缺陷的位置信息,可靠性较高,验证了该方法在桥梁水下结构缺陷检测中的有效性。

     

    Abstract: For poor and unintuitive results of traditional optical imaging in underwater concrete pile inspection in complex environments, a fast 3D reconstruction method for underwater defective piles based on multibeam image sonar is proposed. An underwater robot with two orthogonally oriented multibeam sonars collects sonar data at various positions and depths around the pile. 3D reconstruction is achieved via image preprocessing, defect contour feature extraction, multi-view contour stitching, and multi-depth contour stacking. Experimental results show low reconstruction errors, precise defect localization, and high reliability for depressions, which validates the method’s effectiveness in underwater bridge structure inspection.

     

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