基于三维点云的精密偶件筛选及虚拟装配方法  

Precise Couple Selection and Fitting Method Based on 3D Point Cloud

作　　者：杨文超 惠宏超 张晓玲[1] YANG Wen-chao;HUI Hong-chao;ZHANG Xiao-ling(Beijing Institute of Aerospace Control Devices,Beijing 100039,China)

机构地区：[1]北京航天控制仪器研究所,北京100039

出　　处：《计算机仿真》2022年第12期64-68,共5页Computer Simulation

基　　金：装备预研航天科技联合基金(6141B061402);国防基础科研计划(JCKY2018203A002)。

摘　　要：半球动压陀螺电机的性能优劣直接决定了惯性仪表的精度和寿命。精密偶件作为陀螺电机的核心零件,其装配效率及合格率成为了制约惯性仪表质量提升的关键环节。通过将三维点云处理技术与传统装配方式进行有效融合,提出了基于最小二乘法的点云特征提取方法及基于特征对准的虚拟装配方法。通过提取得到的点云特征完成精密偶件的筛选。通过虚拟装配的结果得到精密偶件的工作间隙从而判断装配是否合格。经过大量实验可知,上述方法能够有效地指导精密偶件完成筛选及配对,从而提高精密偶件的装配效率及合格率,促进半球动压陀螺电机的生产进一步向智能化迈进。The performance of hemispherical dynamic pressure gyro motor directly determines the precision and life of the inertial instrument. Precision coupler live at the core of gyro motor parts, the assembly efficiency and qualified rate became the key link to inertial instrument quality improvement. Through the effective integration of 3 D point cloud processing technology and traditional assembly methods, a point cloud feature extraction method based on least square method and a virtual assembly method based on feature alignment are proposed. The precision couplings were screened by the extracted point cloud special fines. Through the result of virtual assembly, the working clearance of precision coupling can be obtained to judge whether the assembly was qualified. A large number of experiments show that the method can effectively guide the precise matching parts to complete the selection and matching, thus improve product of matching parts and assembly efficiency and qualified rate, and promote the production of hemispherical dynamic pressure gyro motor to be more intelligent..

关 键 词：精密偶件 三维点云处理 点云特征提取 虚拟装配 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]