Algorithm of CAD Surface Generation for Complex Pipe Model in Industry 4.0 Background

Area of Science:

• Computer-Aided Design (CAD)
• 3D Modeling
• Industrial Automation

Background:

• Current pipeline surface generation algorithms lack corner angle information, leading to low accuracy and slow 3D point cloud processing.
• Complex pipeline models in Industry 4.0 require enhanced precision and efficiency in surface generation and data mosaic.

Purpose of the Study:

• To develop a novel CAD surface generation algorithm for complex pipeline models.
• To improve the accuracy and speed of 3D point cloud intelligent mosaic.
• To extract critical angle information from complex pipeline surfaces.

Main Methods:

• Extraction and rendering of wireframe models and background from complex pipeline videos.
• Utilizing the ISS feature extraction algorithm for point cloud data.
• Generating pipe surfaces using double-nodal B-spline.

Main Results:

• Successfully obtained angle information of corner points on complex pipeline surfaces.
• Constructed a 3D point cloud data mosaic model with improved feature matching.
• Demonstrated high precision and stability in the proposed method.

Conclusions:

• The novel algorithm significantly enhances the positioning accuracy and intelligent stitching speed of 3D point clouds.
• The method provides a robust solution for complex pipeline surface generation in Industry 4.0.
• The use of double-nodal B-spline ensures accurate pipe surface reconstruction.