目的 为提升生成对抗网络在非遗景观导识系统中的创新应用，进而强化瑶族地方文化传播属性。方法 首先对导识系统各要素和瑶族地方文化特性进行分类和归纳，运用模糊层次分析法(FAHP)对导识系统各设计要素和风格特征进行权重分配;其次，将评分较高的导识系统设计要素和风格特征构建映射矩阵;最后，将选定的风格特征融入风格生成对抗网络(Style-GAN)以辅助瑶族景观导识系统设计。结果 本研究集成了多领域跨学科交叉理论模型，将FAHP与Style-GAN相融合，重构地方文化产业的导识交互系统。结论 通过以瑶族刺绣为案例，其传统纹样与人工智能技术的有机结合可有效促进当地文化的传承。该研究也为文化导识系统整合设计及相关语义提炼提供了创新视野。

The work aims to enhance the innovative application of generative adversarial network in the non-heritage landscape guide system, and then strengthen the Yao local cultural communication attributes. The elements of the guide system and the characteristics of Yao local culture were classified and summarized, and then the weights were assigned to the design elements and stylistic features of the guide system by the fuzzy hierarchy analysis method (FAHP). Then, a mapping matrix was constructed from the higher rated design elements and style features of the guide system, and finally, the selected style features were integrated into the Style Generative Adversarial Network (style-GAN) to assist the design of the Yao landscape guide system. A multi-disciplinary interdisciplinary cross-theoretical model was integrated, the FAHP was fused with style-GAN, and the guide interaction system of local cultural industries was reconstructed. With Yao embroidery as a case study, the organic combination of its traditional patterns and artificial intelligence technology can effectively promote the inheritance of local culture. This study also provides an innovative vision for the integration design of cultural guide system and related semantic refinement.