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作 者:曹爽[1] 葛劲文 Cao Shuang;Ge Jinwen(School of Geography and Remote Sensing,Nanjing University of Information Science & Technology,Nanjing 210044,China)
机构地区:[1]南京信息工程大学地理与遥感学院测绘工程系,南京210044
出 处:《工程勘察》2018年第11期49-54,68,共7页Geotechnical Investigation & Surveying
基 金:国家自然科学基金青年项目:基于张量投票的车载LiDAR数据的目标识别(41501501)
摘 要:工业产品在推向市场前需进行预装配,验证产品的可装配性和可拆卸性。传统的人工装配基于实物,效率低强度高,费时费力。本文基于点云数据研究筒型工业构件仿真安装方法。首先对工业构件的点云数据进行特征提取,获取相关的轴与面信息,利用轴与面信息作为限制条件,基于附有限制条件的间接平差函数模型解求坐标变换矩阵,将构件点云数据根据变换矩阵进行坐标变换,最终实现工业构件的仿真安装,并以"螺栓"、"铁塔构件"为例,验证方法的可行性。Industrial products need to be pre-assembled to verify the assemblability and disassemblability of the products before they are launched into the market. Traditional artificial assembly is based on physical objects, which is low-efficient, high-intensive, and time consuming. Based on point cloud data, this paper studies on the method for simulation installation of shell industrial components. Firstly, we take feature extraction from point cloud data, to obtain related axis and surface information of the industrial components, then using the axis and surface information as constraints to solve the coordinate transformation matrix based on the indirect adjustment model, and to do the coordinate transformation of the cloud data based on the obtained transformation matrix. Finally, we realize the simulation installation of industrial components. This paper takes the bolt and the tower components as example to verify the feasibility of the method.
分 类 号:TP391.73[自动化与计算机技术—计算机应用技术]
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