基于三维激光点云的隧道电缆敷设质量参数自动检测方法

电力电缆敷设不规范是导致绝缘故障的主要原因,影响电缆的安全运行。当前电缆敷设质量检测多采用人工接触式测量,主观性强、精度低,容易对敷设区域造成二次损伤。文章提出一种基于点云的隧道电缆敷设质量参数自动检测方法。首先在电缆敷设施工位置获取隧道电缆点云数据；之后基于隧道的结构特征分割出电缆点云；最后,基于颜色和形态特征从电缆点云中分割出敷设区域并自动测量敷设质量参数。所提出的电缆和敷设区域点云分割算法的平均精确度、召回率、F1分数均大于0.92,自动测量的4个敷设质量参数平均绝对误差均小于0.35mm。试验表明,该方法可以准确定位电缆敷设区域,并对敷设质量参数进行自动精准测量。

Automatic Detection Method for Tunnel Cable Laying Quality Parameters Based on Three-dimensional Laser Point Cloud

Non-standard laying of power cables is the main cause of insulation failure, which affects the safe operation of cables. At present, the quality detection of cable laying mostly adopts manual contact measurement, which has strong subjectivity and low accuracy, and is easy to cause secondary damage to the laying area. In order to solve this problem, an automatic detection method of tunnel cable laying quality parameters based on point cloud is proposed. Firstly, the tunnel cable point cloud data was obtained at the cable laying construction position. After that, the cable point cloud was segmented based on the structural characteristics of the tunnel. Finally, the laying area was segmented from the cable point cloud based on color and morphological features, and the laying quality parameters were automatically measured. The average accuracy, recall rate and F1 score of the cable and laying area point cloud segmentation algorithm proposed in this study are all greater than 0.92, and the average absolute error of the four laying quality parameters measured automatically is less than 0.35mm. Experiments show that this research method can accurately locate the cable laying area and automatically and accurately measure the laying quality parameters.