Research on AIGC-Assisted Industrial Equipment Modeling Design Under Complex Structural Constraints

Research on AIGC-Assisted Industrial Equipment Modeling Design Under Complex Structural Constraints

연구 분야: Databases

학회: 2024 5th International Conference on Intelligent Design (ICID)

With the continuous development of artificial intelligence technology-AIGC (AI Generated Content) technology has been widely used. However, when using AIGC technology to generate industrial equipment shapes under complex structural constraints, there are still problems of blurred recognition and low efficiency. This article proposes an intelligent styling design method based on the modular design concept, using AIGC technology to collaborate with designers to design complex industrial equipment shapes, in order to optimize the design process of such products and improve the output efficiency of designers'creative solutions. First, the equipment is deconstructed according to the product functional modules, the module morphological characteristics are extracted, and the relevant industrial equipment image production database is collected; then the massive image data is deeply studied to obtain the required Lora model and a preliminary plan is generated; finally, the designer relies on his own experience Integrate and optimize the intelligent generation plan to arrive at the final design plan. Experiments show that AIGC technology assists designers in generating industrial equipment styling design plans, which has significant advantages in design innovation and design efficiency.