基于三维激光扫描技术的弹体表面凹凸缺陷检测研究

Research on Detection of Concavo-convex Defects on Projectile Surface Based on 3D Laser Scanning Technology

鉴于当前部队在弹体表面缺陷进行检测时存在的效率低、精度差等问题,结合三维激光扫描技术全自动、高精度的优点,利用三维扫描技术获取弹体表面的点云数据,在进行配准、去噪、简化等处理后,构建弹体表面规则化点云结构模型进行缺陷识别及量化分析得出:对规则型缺陷识别量化平均误差为0.81%,不规则缺陷量化平均误差为7.89%。

In view of the low efficiency and poor accuracy of the current military inspection of the surface defects of projectiles,combined with the advantages of automatic and high accuracy of the three-dimensional laser scanning technology,the point cloud data on the surface of projectiles are obtained by using the three-dimensional scanning technology,after registration,de-noising,simplification and so on,the regularized point cloud structure model of missile body surface is constructed,and the defects are identified and quantified. The average error of the regularized defects is 0.81%,the mean quantization error of irregular defect is 7.89%.