The application relates to the technical field of computer-aided
engineering and computer-aided
design data integration, and discloses a Catia
data conversion method and
system for CAE preprocessing
modeling software, which comprises the following steps: loading a Catia model and traversing a product structure tree to extract parameterized
semantic information; converting geometric data into a
boundary representation format and detecting defects; automatically repairing serious topological defects by using a
deep learning model; constructing a hierarchical intermediate format based on a general digital thread protocol, and associating geometry,
semantics and analysis attributes; dynamically adjusting model precision according to
simulation types; and exporting a format suitable for CAE
software and generating a parameter mapping table. The application can realize lossless conversion of a Catia model to a CAE environment, retain design
semantics and parameter association, support precision self-adaptive adjustment of multi-
physical field analysis, and significantly improve CAE preprocessing efficiency.