This invention discloses an intelligent
assembly method based on point clouds with hundreds of millions of data points. By constructing an efficient loading mechanism suitable for
point cloud data with hundreds of millions of data points, a
data management structure decoupling display and computation, and a hierarchical filtering and recursive
pruning computation model based on BVH, this invention enables the virtual
assembly process to achieve real-
time response while ensuring geometric accuracy. Simultaneously, by combining multi-process cylindrical axial fitting and GPU parallel sealing ring intersection analysis technology, it achieves efficient computation for coaxiality assessment and compaction uniformity detection. This allows for accurate prediction of interference positions, optimization of
assembly posture, and generation of reasonable assembly paths before assembly, significantly reducing the number of repeated
trial and error attempts on-site, reducing reliance on manual labor, greatly improving assembly efficiency and accuracy, and enhancing the
controllability and reliability of complex structure assembly processes.