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A measurement point planning method based on lidar automatic measurement technology.

Yun Peng1, Xiang Huang1, ShuangGao Li1

  • 1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao St., Nanjing 210016, China.

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|February 1, 2023
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Summary
This summary is machine-generated.

This study introduces a novel method for planning measurement points on large components using lidar measurement systems (LMS). The approach enhances accuracy and efficiency by optimizing point selection and path planning for lidar surface measurement.

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Area of Science:

  • Metrology
  • Mechanical Engineering
  • Computer Vision

Background:

  • Automated measurement systems, particularly lidar measurement systems (LMS), offer unique advantages for inspecting large component surfaces.
  • Effective planning of measurement guide points is crucial for ensuring data quality and operational efficiency in LMS.
  • Current methods may lack optimization in point selection and path planning, impacting overall performance.

Purpose of the Study:

  • To propose an optimized method for planning measurement points on component outer surfaces using lidar automatic measurement technology.
  • To enhance the accuracy of edge area measurements and improve the overall efficiency of the lidar measurement process.
  • To provide a guiding framework for measurement station planning and the development of large-scale spatial measurement fields.

Main Methods:

  • Discretizing geometric features of components into spatial point cloud data.
  • Extracting and indenting edge points from point clouds to improve measurement accuracy in critical areas.
  • Planning the measurement points' path to ensure the shortest traversal route for the lidar's laser beam.

Main Results:

  • Demonstrated ability to identify and indent edge points of features rapidly, ensuring high accuracy in edge measurements.
  • Significantly reduced repetitive measurement paths through optimized path planning, leading to enhanced measurement efficiency.
  • Validated the method's effectiveness through case analyses, highlighting substantial advantages for LMS.

Conclusions:

  • The proposed method significantly improves the accuracy of edge area measurements in large component inspection using LMS.
  • Optimized path planning drastically reduces redundant lidar movements, boosting overall measurement efficiency.
  • This approach offers crucial guidance for future measurement station design and the creation of extensive spatial measurement fields for LMS.