| 摘要: |
| 目的 数智时代，基于大数据技术挖掘蔡氏古民居的网络用户评价，发现现存问题，提出有效设计策略并验证其可行性。方法 首先，对互联网上的热门旅游平台和社交媒体中有关蔡氏古民居建筑群的用户评论数据进行挖掘，分析总结用户需求，确定开发传承蔡氏古民居建筑基因的文旅品牌IP形象，将IP形象作为吸引物置于虚拟导览程序和公共展示空间中，以提升蔡氏古民居景区的吸引力;其次，依据建筑模因理论构建蔡氏古民居建筑基因图谱，对建筑的形式基因、空间基因及思维基因分别进行图谱绘制;再次，运用S-O-R理论模型进行实验评价，根据用户反应时长筛选出用于设计实践的建筑因子;最后，采用生成式人工智能工具辅助，将提取出的建筑因子应用于IP形象的设计方案。结果 选择智能生成IP形象中的最优方案，采用人工完成三维建模并运用到蔡氏古民居的线上线下旅游推广场景中。结论 本研究提出了一个结合大数据挖掘、建筑模因理论和人工智能辅助设计的创新框架，对于文化遗产基因的传承与推广具有重要的理论研究意义和实践应用价值。 |
| 关键词: 大数据 蔡氏古民居 建筑基因 IP形象 生成式人工智能(AIGC) |
| DOI：10.19554/j.cnki.1001-3563.2025.04.030 |
| 分类号: |
| 基金项目:国家社科艺术学重大项目(21ZD23);江苏省社会科学基金项目(24YSB008);中国博士后科学基金项目(2023M731770) |
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| Digital Intelligence Empowered Intelligent Design Inheritance of Cai's Ancient Residence Architectural Genetics |
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ZHANG Anhua1,2, LIU Weilin1, LYU Shaoqing2
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(1. Nanjing Tech University, Nanjing 211816, China;2. Nanjing University of the Arts, Nanjing 210013, China)
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| Abstract: |
| In the age of digital intelligence, and based on the big data technology, the work aims to mine online user reviews of Cai's Ancient Residence, discover its existing problems and propose effective design strategies to verify their feasibility. Firstly, the work mined the user comment data about Cai's Ancient Residence on popular travel platforms and social media on the Internet, analyzed and summarized user needs, and determined the development of a brand cultural tourism IP image that could inherit the architectural genes of Cai's Ancient Residence, and used it as an attraction. The objects were placed in the virtual navigation program and public display space to enhance the attraction of Cai's Ancient Residence Scenic Spot; Secondly, based on the architectural meme theory, an architectural gene map of Cai's Ancient Residence was constructed, and their architectural form genes, spatial genes and thinking genes were mapped respectively. Then, the S-O-R theoretical model was used for experimental evaluation, and architectural factors were selected for design based on user response time; Finally, with the help of artificial intelligence generation tools, the extracted architectural factors were applied to the design of IP image plans. The optimal solution among the intelligently generated images was selected, and three-dimensional modeling was completed manually and applied to the online and offline tourism promotion scenarios of Cai's Ancient Residence. This study proposes an innovative framework that combines big data mining, building meme theory and artificial intelligence auxiliary design. It has important theoretical research significance and practical application value for inheritance and communication of cultural heritage genes. |
| Key words: big data Cai's Ancient Residence building gene IP image Artificial Intelligence Generated Content (AIGC) |
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