基于点云数据的发动机管路最小间距计算方案

樊晶晶; 马骊群; 孙安斌

doi:10.13224/j.cnki.jasp.2019.11.006

基于点云数据的发动机管路最小间距计算方案

doi: 10.13224/j.cnki.jasp.2019.11.006

1.
中国航空工业集团有限公司北京长城计量测试技术研究所,北京 200095
2.
北京航空航天大学仪器科学与光电工程学院,北京 100191
3.
中国航空工业集团有限公司北京长城计量测试技术研究所,北京 100095

基金项目: 工业和信息化部民用飞机专项科研技术研究项目(MJ-2018-J-70)

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出版历程
- 收稿日期: 2019-05-05
- 刊出日期: 2019-11-28

Strategy of calculating minimal-distance of engine pipelines based on point cloud data

1.
Changcheng Institute of Metrology and Measurement,Aviation Industry Corporation of China,Limited,Beijing 100095,China
2.
School of Instrumentation and Optoelectronic Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China
3.
Changcheng Institute of Metrology and Measurement,Aviation Industry Corporation of China,Limited,Beijing 100096,China

摘要

摘要: 为检测整机发动机管路是否满足最小间距的设计要求,提出了一种基于点云数据的发动机管路最小间距计算方案,方案包含5个步骤:①从点云数据中划分出不同管路的数据;②基于管路点云数据的空间分布构造等间隔栅格,计算栅格中心点作为管路的趋势线数据;③在管路各趋势线数据点位置上构造垂直平面,将管路点云数据投影到最近的垂直平面上,获得各个垂直平面上呈圆弧状分布的投影点数据;④对各垂直平面上的投影点数据进行最小二乘圆拟合,得到拟合圆圆心及其半径值,将拟合圆圆心作为管路中心线数据;⑤采用遍历法计算两条管路中心线数据的最小间距,中心线最小间距分别减去两条管路的半径值则得到两条管路的表面最小间距。通过12条管路验证了方案的准确度。实验结果表明:管路最小间距偏差在-0.35~0.46mm之间,管路半径偏差在-0.08~0.22mm之间。该方案的实施有助于管路间距数字化检测的实现,且方案的计算结果具有较好的鲁棒性。
- 管路最小间距 /
- 点云数据 /
- 垂直平面 /
- 趋势线数据 /
- 中心线数据
Abstract: A strategy of calculating minimal-distance of engine pipelines based on point data was proposed to inspect whether the minimal-distance meets the design requirement. The strategy includes five steps: (1) the points belonging to the same pipeline was picked up and saved in a group. (2) A set of equal-interval grid was built along a coordinate direction in which the pipeline stretched longest. Then the point cloud data were divided into corresponding grid according to the coordinates. The center point of each grid was calculated and the trend-line data of pipeline were constituted. (3) On each trend-line point, a projection plane was built vertically to a straight line connecting the point and its adjacent point. Then point cloud data of pipeline were projected to the nearest projection plane. And a group of projected points in arc distribution were obtained on each projection plane. (4) The projected points on each projection plane were fitted into a circle using least square fitting method. And the center points of all circles constituted the center-line points of a pipeline. And the mean radius of each fitted circle was regarded as pipeline radius. (5) Traversing method was used to calculate minimal-distance between two groups of center-line points. And minimal-distance of two pipeline surfaces was calculated by subtracting radii of two pipelines from the minimal-distance of center-line points. Four groups of pipelines were examined to verify the proposed strategy. The results showed that the deviations of minimal-distance of two pipeline surfaces were within -0.35~0.46mm. And the deviations of pipeline radius were within -0.08~0.22mm. The proposed method is more robust than mostly used method and also meaningful for realizing digital inspection of pipeline distance.
- minimal-distance of pipelines /
- point cloud data /
- vertical plane /
- trend-line data /
- center-line data

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参考文献(18)

[1]	刘元明,陈良骥,冯宪章,等.基于特征的航空发动机管路反求建模方法研究［J］.机床与液压,2008,36(5):22-25.LIU Yuanming,CHEN Liangji,FENG Xianzhang,et l.Research on feature-based reverse engineering system for modeling of aeroengine pipeline［J］.Machine Tool and Hydraulics,2008,36(5):22-25.(in Chinese)
[2]	罗敏.航空发动机外部管路工装数字化设计［J］.数字化设计与制造,2015,58(15):18-21.LUO Min.Tooling digital design of aeroengine external pipeline［J］.Digital Design and Manufacturing,2015,58(15):18-21.(in Chinese)
[3]	陈艳秋,朱梓根.基于遗传算法的航空发动机管路优化设计［J］.航空动力学报,2002,17(4):421-425.CHEN Yanqiu,ZHU Zigen.Pipe system design of aero-engine using genetical gorithms［J］.Journal of Aerospace Power,2002,17(4):421-425.(in Chinese)
[4]	刘德刚,王澍,朱德轩.民用飞机燃油系统管路设计研究［J］.装备制造技术,2014,42(8):223-225.LIU Degang,WANG Shu,ZHU Dexuan.Civil aircraft fuel system conveyance design research［J］.Equipment Manufacturing Technology,2014,42(8):223-225.(in Chinese)
[5]	盛世伟.管路支撑参数对液压管路系统振动特性影响研究［D］.河北秦皇岛:燕山大学,2015.SHENG Shiwei.Numerical analysis on the fluid-solid coupling vibration of hydraulic pipeline with elastic support［D］.Qinhuangdao Hebei:Yanshan University,2015.(in Chinese)
[6]	李占营,王建军,邱明星,等.航空发动机空间管路系统的流固耦合振动特性［J］.航空动力学报,2016,31(10):2346-2352.LI Zhanying,WANG Jianjun,QIU Mingxing,et al.Dynamic characteristics of aero-engine pipe system considering fluid-structure coupling［J］.Journal of Aerospace Power,2016,31(10):2346-2352.(in Chinese)
[7]	张桁维,梁晋,孟繁昌,等.基于点云融合的管路精确测量方法［J］.航空制造技术,2018,61(5):51-55.ZHANG Hengwei,LIANG Jin,MENG Fanchang,et al.Point cloud fusing-based measuring method for curved pipes［J］.Aeronautical Manufacturing Technology,2018,61(5):51-55.(in Chinese)
[8]	李繁,臧朝平.曲面叶片三维工作变形连续扫描激光测试［J］.航空动力学报,2018,33(12):2291-2298.LI Fan,ZANG Chaoping.Curved blade three-dimensional operational deflection shape continuous scanning laser measurement［J］.Journal of Aerospace Power,2018,33(12):2291-2298.(in Chinese)
[9]	牛平月,郑联语,杨启龙.基于双目视觉的管路快速检测技术研究与实现［J］.航空精密制造技术,2014,50(2):16-19.NIU Pingyue,ZHENG Lianyu,YANG Qilong.Research and implementation of pipeline rapid detection based on stereo vision technology［J］.Aviation Precision Manufacturing Technology,2014,50(2):16-19.(in Chinese)
[10]	张天,唐承统,刘检华.基于多目视觉的弯管空间参数测量方法［J］.仪器仪表学报,2013,34(2):260-267.ZHANG Tian,TANG Chengtong,LIU Jianhua.Bend tube spatial parameter measurement method based on multi-vision［J］.Chinese Journal of Scientific Instrument,2013,34(2):260-267.(in Chinese)
[11]	李玉龙,郭翔,索涛.一种复杂多管路系统检测方法与流程:201710332014.7［P］.2017-09-29.
[12]	刘检华,刘少丽,宁汝新,等.管路数字化布局设计与制造及检测集成技术［J］.计算机集成制造系统,2015,21(4):1-19.LIU Jianhua,LIU Shaoli,NING Ruxin,et al.Integrated technology digital pipeline routing［J］.Manufacturing and Inspection,2015,21(4):1-19.(in Chinese)
[13]	张海波.基于双目立体视觉的图像匹配和三维重建［D］.西安:西安工业大学,2012.ZHANG Haibo.Stereo matching and 3D reconstruction based on binocular stereo vision［D］.Xi’an:Xi’an Technological University,2012.(in Chinese)
[14]	袁佶鹏,黄祖广,张承瑞,等.机器人点位控制速度规划算法选择策略［J］.制造技术与机床,2018(12):143-149.YUAN Jipeng,HUANG Zuguang,ZHANG Chengrui,et al.Selection strategy of federate planning algorithm for robot point-to-point control［J］.Technology and Test,2018(12):143-149.(in Chinese)
[15]	刘元明,陈良骥,李明,等.航空发动机管路测量数据分割方法［J］.航空学报,2008,29(2):285-291.LIU Yuanming,CHEN Liangji,LI Ming,et al.Segmentation method for point cloud of aeroengine pipelines［J］.Acta Aeronautica et Astronautica Sinica,2008,29(2):285-291.(in Chinese)
[16]	程效军,贾东峰.海量点云数据处理理论与技术［M］.上海:同济大学出版社,2014.
[17]	马开峰.高低温环境卫星天线型面变形的近景摄影测量与数据处理［D］.北京:中国矿业大学,2016.MA Kaifeng.Close-range photogrammetry and data processing of shape-surface of satellite antenna under high-low temperature environments［D］.Beijing:China University of Mining and Technology,2016.(in Chinese)
[18]	郭晶晶,贺赛先.手持式激光扫描仪激光点云数据拼接方法［J］.电光与控制,2018,25(1):88-91.GUO Jingjing,HE Saixian.A laser point cloud data splicing method for hand-held laser scanners［J］.Electronics Optics and Control,2018,25(1):88-91.(in Chinese)