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MULTI-MODAL DESIGN INFORMATION UNIFIED EXPRESSION AND REASONING METHOD BASED ON LARGE MODEL

发明专利审中
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9权利要求 · 1 独立
§ Ⅰ

卷宗概要

发明人

PEI CHEN; WENZHENG SONG; ZHUOYI CHENG; LINGYUN SUN

IPC 分类

G6N 5/22G6F 30/20

CPC 分类

G6N5/22G6F30/20

The present invention discloses a multi-modal design information unified expression and reasoning method based on a large language model. The present invention utilizes the large language model to extract corresponding information of function-behavior-structure from a design scheme, so as to construct a graph network of the function-behavior-structure, thereby achieving a relatively accurate unified expression of multi-modal design information. The present invention obtains differences in three dimensions of the function-behavior-structure based on comparison of graph networks at different moments. Through the difference in each dimension, the large language model is used to obtain an optimized scheme corresponding to the dimension to reason out a design idea and a design process of a designer in each dimension through the large language model, and the design scheme in each dimension is optimized based on the design idea and the design process, and then, the optimized schemes corresponding to the three dimensions are aggregated to obtain the optimized design scheme.

原文(中文)

The present invention discloses a multi-modal design information unified expression and reasoning method based on a large language model. The present invention utilizes the large language model to extract corresponding information of function-behavior-structure from a design scheme, so as to construct a graph network of the function-behavior-structure, thereby achieving a relatively accurate unified expression of multi-modal design information. The present invention obtains differences in three dimensions of the function-behavior-structure based on comparison of graph networks at different moments. Through the difference in each dimension, the large language model is used to obtain an optimized scheme corresponding to the dimension to reason out a design idea and a design process of a designer in each dimension through the large language model, and the design scheme in each dimension is optimized based on the design idea and the design process, and then, the optimized schemes corresponding to the three dimensions are aggregated to obtain the optimized design scheme.