Abstract
With the upgrading of intelligent manufacturing, industrial robots will play an important role in the garment industry. The purpose of this article was to study the pattern and style based on the integration of artificial intelligence and clothing design. In this article, the digital modeling of clothing design and the case analysis of intelligent clothing design are described using the method of comparative experiment. The experimental results are obtained from the analysis of fuzzy number of clothing design language evaluation, three-dimensional human body construction clothing size, clothing design elements and auxiliary functions, and the analysis of the advantages and disadvantages of clothing design system. The popular clothing sample is D4 (0.4862), which is 20% higher than other products. It can be concluded that the model proposed in this article can grasp the needs of consumers and select the right one according to the market positioning. The fabric mass production fashion brand can significantly improve the efficiency and satisfaction of the fabric selection decision-making process. It provides enough technical support and style model for intelligent clothing design.
Highlights
China’s clothing industry is a traditional industry with a low degree of modernization
With the progress of science and technology, the combination of human thinking mode and computer technology, and the application of artificial intelligence technology in the design work, make the computer-aided design with the characteristics of human design and thinking to some extent become a new trend in the field of clothing design. e introduction of artificial intelligence plays an important role in reducing the excessive dependence on people in design, improving the randomness of feeling and inspiration in design, adapting to the requirements of fast rhythm and short period in customized design and production, and improving the overall technical level of the clothing industry
Knowledge of green clothes and peer influence will not affect the purchase behavior of organic clothes. e effect of his research limitations is that samples are limited to students with an experience in green products [1]. rough analyzing the development situation and trend in AI design, Yi integrated AI and fashion design into a large database by Mathematical Problems in Engineering combining various hardware and software intelligent platforms and made clear that fashion design, character recommendation, and virtual Fitty can achieve bending and other functions
Summary
China’s clothing industry is a traditional industry with a low degree of modernization. Khare and Varshneya investigated the influence of green clothing knowledge on the past environmental behavior, peer influence, and purchase behavior in the purchase behavior of organic clothing His design method is to collect data through surveys conducted in three major metropolitan areas and collect 889 samples of college students. Rough analyzing the development situation and trend in AI design, Yi integrated AI and fashion design into a large database by Mathematical Problems in Engineering combining various hardware and software intelligent platforms and made clear that fashion design, character recommendation, and virtual Fitty can achieve bending and other functions. Problems that may be faced by clothing AI design include advocating happiness and comfort, adapting to docking integration, open efficient and safe data security recommendations, promoting the excellent development of clothing in AI design, and referring to clothing design and AI researchers to provide [2]
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