Self-adaptive processing method, system and equipment for mass point cloud data

The invention relates to the technical field of computers, and discloses an adaptive processing method and system for mass point cloud data. The method comprises the steps of constructing an octree frame corresponding to point cloud data according to actual total points and estimated depth of the point cloud data in a point cloud file, traversing the point cloud data, and inserting the point cloud data into corresponding leaf nodes of the octree frame based on available cache states of the leaf nodes of the octree frame; sub-octrees are constructed for large leaf nodes in the octree framework in parallel, and the large leaf nodes refer to leaf nodes of which the number of points of the contained point cloud data exceeds the maximum value of the number of the points allowed to be contained by the nodes; and performing aggregation and thinning on the octree framework and non-leaf nodes of the sub-octree of the octree framework in parallel to generate an octree. According to the method, normal rendering of mass