The invention relates to a hierarchical
occlusion perception grid infinitesimal streaming transmission and adaptive rendering method, which comprises the following steps of: S1, decomposing a model into grid infinitesimal, recursively constructing a
bounding volume hierarchical tree BVH from bottom to top by taking the grid infinitesimal as a leaf node, and setting a semantic error and a
geometric error for each sub-node cluster; s2, acquiring camera parameters of a current frame, comparing a total
screen space error with an error threshold value, if the error is smaller than the threshold value, stopping traversing, and adding the
cluster node into a to-be-rendered
list of the current frame; and S3, if the grid infinitesimal corresponding to the
cluster node in the to-be-rendered
list is not loaded to the GPU memory, sending a loading request to an asynchronous streaming manager, asynchronously loading the corresponding grid infinitesimal from the memory, and rendering a father node of the
cluster node. Compared with the prior art, the method has the advantages that large-scale and high-precision model data can be rendered on the lightweight XR all-in-one
machine in real time, and the like.