研究目的
To propose a novel coaxial alignment method for large aircraft component assembly using distributed monocular vision.
研究成果
The proposed coaxial alignment method using distributed monocular vision achieves high precision and efficiency, with coaxial errors less than 0.04 mm for all hole pairs. The IR-PSO method provides more accurate pose estimation than the state-of-the-art method, and the PRPE method offers a suitable approach for posture evaluation during coaxial alignment.
研究不足
The method assumes precision-machined mating holes and adapters, ignoring form and position errors. The efficiency of image processing may decrease when hole edges are joined together.
1：Experimental Design and Method Selection:
A distributed monocular vision system (DMVS) is proposed for monitoring and measuring the misalignment of each hole pair.
2：Sample Selection and Data Sources:
Mating holes on large aircraft components are selected for alignment.
3：List of Experimental Equipment and Materials:
High-resolution cameras with lenses, backlight sources, and camera adapters are used.
4：Experimental Procedures and Operational Workflow:
After coarse alignment, hole poses are estimated, and movements for coaxial alignment are computed and executed.
5：Data Analysis Methods:
An iterative reweighted particle swarm optimization (IR-PSO) method is used for hole pose optimization.
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