Intelligent Decorative Pattern and Color Optimization Based on CAD and Big Data.
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| Title: | Intelligent Decorative Pattern and Color Optimization Based on CAD and Big Data. |
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| Authors: | Qian Shen1 Jh15900834847@126.com, Hui Ji2 15900834847@163.com |
| Source: | Computer-Aided Design & Applications. 2025 Special Issue, Vol. 22, p108-120. 13p. |
| Subjects: | Optimization algorithms, Public art spaces, Big data, Computer-aided design, Color in design |
| Abstract: | This article seeks to investigate the utilization of CAD (computer-aided design) and big data within the realm of intelligent generation and colour refinement for decorative patterns, enhancing design efficiency, fulfilling personalized user demands, and fostering design innovation. Firstly, the research reviewed the basis of colour theory, then analyzed the user's colour preference and market colour trend based on big data, and developed a set of colour optimization algorithms. By introducing intelligent algorithms into the CAD system, the automatic generation of decorative patterns and intelligent colour matching is realized. In order to verify the effectiveness of the method, this article selects three different types of cases: residential interior design, commercial space decoration and public art installation design for empirical research. The implementation results show that the intelligent method significantly improves design efficiency, user satisfaction is over 90%, and remarkable achievements have been made in design innovation. Future research will focus on improving the generalization ability and adaptability of the algorithm, deeply studying the influence of user's emotions on colour preference, and optimizing the collaborative mechanism between the CAD system and big data platform. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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