Optimization of Environmental Art Design Automation Method Based on CAD and Neural Network

被引：0
|
作者：
Zhang T. [1 ]
Wu S. [1 ]
机构：
[1] Nanhai Academy of Art, Haikou University of Economics, Hainan, Haikou
来源：
Computer-Aided Design and Applications | 2024年 / 21卷 / S14期
关键词：
Automation; CAD; Environmental Art Design; Neural Network;
D O I：
10.14733/cadaps.2024.S14.267-281
中图分类号：
学科分类号：
摘要：
Environmental art design is more and more widely used in daily life and commercial fields. Through computer-aided design (CAD) technology, designers can conveniently perform operations such as modeling, rendering and material mapping on the space, which greatly improves the design efficiency and quality. In environmental art design, Neural network (NN) technology can be used to extract the characteristics of environmental art space, and on this basis, the 3D model of environmental art can be automatically generated. The research aims to combine CAD and NN technology to provide an efficient, intelligent and visual automatic design method for environmental art design. This method can improve the quality of environmental changes, and also realize large-scale production and replication of design schemes, providing new ideas and methods for industrial production of environmental design. The results show that this method can realize the large-scale production and replication of the design scheme. Moreover, the visualization and interactivity of NN technology have also been significantly improved, and designers can adjust and optimize the design scheme in real time according to the actual situation. © 2024 U-turn Press LLC.
引用
收藏
页码：267 / 281
页数：14
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