Industrial Photogrammetry Technology and Its Implementation for Large-Scale Equipment

SHI Chuanfei; ZHANG Liyan; YAN Jun; YE Nan

doi:10.16080/j.issn1671–833x.2018.19.024

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Industrial Photogrammetry Technology and Its Implementation for Large-Scale Equipment

更新时间：2025-10-30

- Industrial Photogrammetry Technology and Its Implementation for Large-Scale Equipment
- Aeronautical Manufacturing Technology Vol. 61, Issue 19, Pages: 24-30(2018)
- 作者机构：
  
  南京航空航天大学机电学院,南京,210016
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671–833x.2018.19.024
  CLC：
- Published：2018
- 稿件说明：
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史传飞，张丽艳，严俊，叶南. 面向大型装备的工业摄影测量技术及实现[J]. 航空制造技术, 2018, 61(19): 24-30.

SHI Chuanfei, ZHANG Liyan, YAN Jun, YE Nan. Industrial Photogrammetry Technology and Its Implementation for Large-Scale Equipment. Aeronautical Manufacturing Technology, 2018, 61(19): 24-30.
史传飞，张丽艳，严俊，叶南. 面向大型装备的工业摄影测量技术及实现[J]. 航空制造技术, 2018, 61(19): 24-30. DOI： 10.16080/j.issn1671–833x.2018.19.024.

SHI Chuanfei, ZHANG Liyan, YAN Jun, YE Nan. Industrial Photogrammetry Technology and Its Implementation for Large-Scale Equipment. Aeronautical Manufacturing Technology, 2018, 61(19): 24-30. DOI： 10.16080/j.issn1671–833x.2018.19.024.

摘要

为实现大型装备的三维数字化测量，在OpenMVG 的基础上形成了一套适用于工业摄影测量的技术框架。首先对图像中的编码点进行识别定位，并以编码元身份号建立多图间的匹配关系，以此建立OpenMVG的数据接口。借助OpenMVG求解器，获得在归一化尺度下的编码点三维坐标，通过场景中布置的多根标尺，恢复实际尺度因子，最终获得编码点的空间坐标和图像序列间的变换矩阵以及相机成像参数，这些构成工业摄影测量框架的核心参数，并可满足工业摄影测量的诸多应用。以某型飞机实物作为试验对象，在10m×3m×4m的空间内，图像规模超过500张，测量误差低于0.085mm，测量结果与目前最新的商用工业摄影测量系统进行了对比，在精度上达到了相同水平，此方法在效率上更具优势，且具有更好的扩展性。

Abstract

In order to achieve 3D digital measurement of large-scale equipment

based on OpenMVG (Open Multiple View Geometry)

a technical framework

which is suitable for industrial photogrammetry

is generated. Firstly

the coded points in the set of images were identified and positioned

the matching relationships between multiple images were built by ID number

and the data interface for OpenMVG was established. Then

by means of OpenMVG solver

the 3D coordinates of the coded points at the normalized scale were solved. The actual scale factor was restored by using multiple scale bars arranged in the scene. Finally

the coordinates of the code points

the transformation matrix between the images and the camera parameters were obtained

which constitute the core parameters of the industrial photogrammetry framework and can meet many applications of industrial photogrammetry. Taking an airplane as a test object

which is in the space of 10m × 3m × 4m

the number of images by photogrammetry capturing is more than 500. The finally measured error with our method is less than 0.085mm. Compared with the current commercial photogrammetry system

the proposed method can achieve the same accuracy level with greater efficiency and expansibility.

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