Binocular Stereo Vision-Based Structured Light Scanning System Calibration and Workpiece Surface Measurement Accuracy...

Area of Science:

• Metrology
• Optical Measurement Systems
• Intelligent Construction

Background:

• Modern manufacturing and intelligent construction demand precise online measurement of large structural components (>1m).
• Existing technologies like image, line laser, and structured light methods have limitations in accuracy, speed, or adaptability.
• Occlusion is a significant challenge in contour measurement using structured light methods.

Purpose of the Study:

• To comparatively analyze mainstream measurement technologies for large structural components.
• To develop a contour measurement system using multi-camera collaboration for structured light methods.
• To address occlusion issues in structured light contour measurement through multi-camera stitching.

Main Methods:

• Comparative analysis of image, line laser scanning, and structured light methods.
• Development of a multi-camera structured light system for contour measurement.
• Focus on accurate camera calibration for high-quality point cloud stitching.
• Application to cable tightening scenarios in cable-stayed bridges.

Main Results:

• Structured light method shows advantages in accuracy and speed but faces occlusion challenges.
• Multi-camera stitching was employed to overcome occlusion, with camera calibration accuracy being critical.
• Experimental verification using four structured light scanners on test workpieces was performed.
• Current measurement errors were not consistently within the millimeter level.

Conclusions:

• The developed system provides technical exploration and practical experience for high-precision measurement in intelligent construction.
• This research lays a foundation for subsequent improvements in measurement accuracy.
• Further work is needed to stably control measurement errors within the millimeter level.