A New Path for Innovative Design of Shu Brocade Patterns Based on AI Agent

DAI Zhuoyan; MEN Delai; LU Dingbang; ZHANG Lan; WANG Guanning

doi:10.19554/j.cnki.1001-3563.2026.06.020

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (6) : 209-219. DOI: 10.19554/j.cnki.1001-3563.2026.06.020

Industrial Design

A New Path for Innovative Design of Shu Brocade Patterns Based on AI Agent

DAI Zhuoyan¹, MEN Delai^1,2*, LU Dingbang^1,3, ZHANG Lan¹, WANG Guanning¹

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Abstract

Shu brocade has a long history and rich cultural heritage, but it is facing the crisis of insufficient innovation and cultural inheritance. The work aims to explore the intelligent generation and innovative design path of Shu brocade patterns based on the AI Agent driven by the large language model by combining the extension semantic method. The key features of Shu brocade patterns were extracted by the extension semantic method, and the patterns were generated by the AI Agent driven by the large language model. Finally, the effect was evaluated by the fuzzy evaluation method. The application of artificial intelligence technology to the automatic generation of Shu brocade patterns broke through the technical and creative limitations of traditional handicrafts and provided a new digital design path. The characteristics of Shu brocade patterns were accurately extracted by combining the extension semantic method, which provided a solid theoretical support for the personalized output of the intelligent agent. In conclusion, the Shu brocade patterns generated by the AI Agent can not only efficiently design patterns that conform to modern aesthetics, but also promote the modernization transformation of Shu brocade art and provide new ideas and methods for the innovative development of traditional culture.

Key words

Shu brocade pattern / AI agent / innovation / extension semantics / modern transformation

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DAI Zhuoyan, MEN Delai, LU Dingbang, ZHANG Lan, WANG Guanning. A New Path for Innovative Design of Shu Brocade Patterns Based on AI Agent[J]. Packaging Engineering. 2026, 47(6): 209-219 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.020

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