The application discloses a CAD
large model method and
system based on AI and vector bundle, and belongs to the field of computer-aided design. The method comprises the following steps: S1, constructing a
mathematical model of manifold space, and mapping three-dimensional information of an object to a linear space through a vector bundle; S2, collecting drawing data of multiple industries, and constructing a drawing
data set of multiple industries; S3, pre-training the drawing
data set of multiple industries through the
mathematical model of manifold space, and extracting feature template tensors corresponding to drawings of each industry; S4, based on the feature template tensors, using a
large model with an embedded M-MoE architecture to
encode, decode and cyclically optimize and update parameters; and S5, mapping the manifold
tensor output in the previous step to a three-dimensional space, generating CAD drawings and reports, and cyclically optimizing and outputting results through a
loss function. The application constructs a CAD
large model based on
artificial intelligence and vector bundle
mathematical theory, and realizes intelligent drawing generation, automatic auditing, language
interactive editing and
full life cycle management.