研究目的
To describe the use of photogrammetric systems for control and measuring tasks in the automotive industry, focusing on quality control, analysis, and fault cause discovery.
研究成果
Optical measuring systems like photogrammetry are effective for non-contact, high-accuracy 3D measurements in automotive applications, enabling quality control, reverse engineering, and production optimization with advantages in speed, flexibility, and cost over tactile methods.
研究不足
Precision depends on factors like camera quality, object size, number of photographs, and layout; requires known reference lengths for dimensioning; may need iterative adjustments for tool positioning within tolerances.
1：Experimental Design and Method Selection:
Utilizes photogrammetry and triangulation techniques for 3D coordinate measurements, involving object preparation, calibration, and photograph processing.
2：Sample Selection and Data Sources:
Automotive parts and assemblies, such as rear suspension brackets and car doors, are measured using reference scale bars and adapters.
3：List of Experimental Equipment and Materials:
Includes DSLR cameras, reference scale bars, coded and un-coded reference points, adapters for holes and spheres, and GOM software for data analysis.
4：Experimental Procedures and Operational Workflow:
Steps include planning measurement, preparing the object with reference points, taking calibration and measurement photographs from multiple angles, processing photographs in software to create point clouds or polygon meshes, and analyzing deviations from CAD models.
5：Data Analysis Methods:
Uses GOM software for creating measuring reports, performing Best Fit registration for coordinate transformation, and analyzing geometric deviations and tolerances.
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