基于邻域点特征分割与对应的航空发动机叶片损伤点云配准  

Partition based on features of neighborhood points and corresponding point cloud registration of aero-engine damaged blade

作　　者：蔡舒妤[1] 郝峰伟 史涛 CAI Shuyu;HAO Fengwei;SHI Tao(College of Aeronautical Engineering,Civil Aviation University of China,Tianjin 300300,China;Hunan General Aviation Engine Co.,Ltd.,Zhuzhou 412002,China)

机构地区：[1]中国民航大学航空工程学院,天津300300 [2]湖南南方通用航空发动机有限公司,株洲412002

出　　处：《北京航空航天大学学报》2025年第3期784-794,共11页Journal of Beijing University of Aeronautics and Astronautics

摘　　要：为满足损伤压气机叶片点云配准的精度及效率要求,提出一种基于邻域点特征分割与对应的航空发动机叶片损伤点云精确配准算法。以协方差矩阵为基础,通过多步分割模型定义特征子块的分割,获取有效特征区域;根据局部曲率、点最大距离和点最大法向量夹角性质,构建稳定n维特征向量;引入迭代最近点理论,构建对应点、对应块间点到面的最小欧式距离,实现叶片损伤点云和叶片标准点云两模型位姿的精确修正;使用单位四元数算法完成对损伤叶片点云的精确配准。实验结果表明:所提算法能完成损伤压气机叶片点云模型表面的点云配准,显著提高了配准的效率和精度,并在多组航空发动机损伤叶片点云数据模型下,验证了基于邻域点特征分割与对应的点云配准的适应性和鲁棒性。To satisfy the requirements on accuracy and efficiency of point cloud registration of damaged compressor blades a algorithm for partition based on features of neighborhood points and the corresponding accurate point cloud registration of aero-engine damaged blades was proposed.First of all,based on the covariance matrix,a multi-step partition model was employed to define the method to divide feature sub-blocks,and thus obtain effective feature regions.Secondly,a stable n-dimensional feature vector was constructed in accordance with the local curvature,the maximum distance between points,and the angle property of the maximum normal vector;then,by introducing the iterative closest point theory,the minimum Euclidean distance between the corresponding points and that from the point to the surface between the corresponding blocks were established.The accurate position correction of the two models was realized.Finally,the unit quaternion algorithm was used to complete the accurate point cloud registration of damaged blades.Experimental results show that the proposed algorithm can achieve point cloud registration on the surface of the point cloud model of damaged compressor blades,significantly improving the efficiency and accuracy of registration.Moreover,the advantages and robustness of the unit quaternion algorithm are verified through the point cloud database of multiple groups of aero-engine damaged blades.

关 键 词：点云配准 特征提取 迭代最近点 损伤检测 压气机叶片 

分 类 号：TP39[自动化与计算机技术—计算机应用技术] V232[自动化与计算机技术—计算机科学与技术]