航空学报 > 2008, Vol. 29 Issue (2): 285-291

航空发动机管路测量数据分割方法

刘元朋1,陈良骥1,李明1,王金凤1,董晓艳2   

  1. 1郑州航空工业管理学院 机电工程系 2郑州航空工业管理学院 工业工程系
  • 收稿日期:2007-05-22 修回日期:2007-11-30 出版日期:2008-03-15 发布日期:2008-03-15
  • 通讯作者: 刘元朋1

Segmentation Method for Point Cloud of Aeroengine Pipelines

Liu Yuanpeng1,Chen Liangji1,Li Ming1,Wang Jinfeng1,Dong Xiaoyan2   

  1. 1Department of Mechanical and Electrical Engineering, Zhengzhou Institute of Aeronautical Industry Management 2Department of Industrial Engineering, Zhengzhou Institute of Aeronautical Industry Management
  • Received:2007-05-22 Revised:2007-11-30 Online:2008-03-15 Published:2008-03-15
  • Contact: Liu Yuanpeng1

摘要:

为了提高航空发动机管路测量数据的反求建模效率,提出了一种区域增长分割算法。该方法主要是利用管路表面在曲面索引系数映射、主曲率映射、高斯映射上的特性,并基于均值漂移算法和遗传算法提出了区域分割算法中种子区域的选择策略。然后利用区域增长分割方法实现了对管路测量数据的分割。经过仿真和实测数据验证,所提管路分割算法具有较好的分割质量和效率。

关键词: 航空发动机管路, 区域分割, 几何属性, 点云, 反求工程

Abstract:

To improve the reverse modeling efficiency of aeroengine pipelines, a region-growing segmentation algorithm for aeroengine pipeline point cloud data is proposed based on geometric attributes. The method maps respectively the geometric attribute value of measurement points to surface shape index paps of Koenderink, principal curvature coordinate system and gaussian sphere. Searches are performed for recognizing seed regions of point cloud data based on the characteristics of pipeline feature surfaces in the above geometric attribute mappings.

Key words: aeroengine , pipeline,  , region , segmentation,  , geometric , attribute,  , point , cloud,  , reverse , engineering

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