The application discloses a three-dimensional design collaborative
annotation intelligent collection method and
system based on
artificial intelligence, and relates to the field of computer-aided design
collaboration. The method comprises the following steps: obtaining an original
annotation set containing three-dimensional anchor points and text content generated in a collaborative review stage; adopting a space-semantic
coupling clustering
algorithm to comprehensively calculate the spatial proximity and text
semantic similarity between
annotation objects, and merging the annotation objects into a plurality of annotation clusters; filling the annotation cluster content into a preset prompt word template, using a large
language model to remove duplicates and generate an abstract, and generating a structured
rework task list; and establishing a linkage mapping between the task and the best observation view in a collaborative interface. The application solves the problems of annotation fragmentation, high redundancy and lack of execution force in traditional three-dimensional
collaboration, automatically converts scattered review opinions into clear
engineering instructions through AI intelligent arrangement, and significantly improves the design iteration efficiency.