Element fusion-based cultural and creative design auxiliary method and system
By constructing semantic network and social media analysis of design elements and combining VR/AR technology to optimize the design scheme, the problem of difficult to integrate traditional culture and modern design elements in traditional methods is solved, and the design efficiency and innovation are achieved.
CN120409291APending Publication Date: 2025-08-01HANGZHOU WUSHI WUJI CULTURE TECH CO LTD +1
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Patent Information
- Application Number
- CN202510877879.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-27
- Publication Date
- 2025-08-01
AI Technical Summary
Technical Problem
The existing technology is difficult to efficiently integrate traditional culture and modern design elements, resulting in inaccurate and comprehensive design results.
Method used
By acquiring design elements, using deep learning algorithms to build semantic networks between elements, combining social media data for analysis, generating fusion solutions, and using VR and AR technologies to create interactive creative workshops for optimization.
Benefits of technology
Deeply understand the inherent connections between design elements, improve the efficiency and innovation of design decisions, capture industry dynamics and future trends, and maintain the timeliness and competitiveness of works.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a cultural creative design assisting method and system based on element fusion. Belongs to the technical field of creative design. The method comprises the steps that design elements are acquired and classified; on the basis of a deep learning algorithm, a semantic network between elements is constructed, the semantic network is converted into a low-dimensional vector space through a network embedding technology, and user preference, emotional tendency and future trend are analyzed in combination with social media data; and generating a fusion scheme, and carrying out continuous iterative optimization on the design. The semantic relation between the design elements is analyzed, so that the internal relation between the design elements can be deeply understood; through a complex network theory, a language network model between design elements is constructed, the relationship between different elements can be visualized, and high efficiency and systematicness of design decision are facilitated.
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