Research on Automatic Registration of Laser Point Cloud Data for Transmission Line Bolt Detection
The bolts of transmission lines are relatively small and difficult to detect,which can easily lead to bolt leak-age and incorrect detection,increasing the risk of faults and safety accidents.Therefore,a laser point cloud data auto-matic registration method for transmission line bolt detection is proposed.Establish a homogenization space for laser point cloud data,and complete the thinning process by constraining the feature quantity of uniform point cloud data within the grid range.Select any target point in the point cloud dataset,and balance the noise value of the cloud data by adjusting the size of the Gaussian kernel function in the spatial and frequency domains.Using k-means clustering algorithm to classify point cloud data.Based on the three-dimensional spatial coordinates of point cloud data,calculate the coordinate values of the target registration point and the source point in different directions,and complete automat-ed registration through coordinate comparison.The experimental results show that the proposed method has high regis-tration accuracy at different heights,distances,and directions,and the maximum RMSE index value is 0.3,indicating a high degree of fitting between the registration value and the true value,with high registration accuracy.
transmission line bolt inspectionlaser point cloud datadilutionthree dimensional spatial coordinatesau-tomated registration
NETL
NSTL
万方数据
维普
