北京建筑大学学报2026，Vol.42Issue(2)：61-70,10.DOI:10.19740/j.2096-9872.2026.02.07
生成式AI驱动的海南骑楼建筑修复:技术路径与导则构建
Generative AI-Driven Restoration of Hainan Qilou Architecture:Technical Pathways and Guideline Formulation
摘要
Abstract
To address the degradation of architectural character and cultural authenticity in Hainan Qilou buildings caused by natural aging,inappropriate interventions,and human damage,a generative AI-assisted restoration approach is proposed.A generative AI-based restoration approach is proposed,which involves constructing a multimodal historical database,training a LoRA model integrated with an architectural knowledge graph,and employing Stable Diffusion for intelligent damage detection and authentic appearance reconstruction.This framework overcomes the limitations of traditional restoration methods,such as strong subjectivity and low efficiency,thereby providing data-driven intelligent decision-making support for cultural heritage conservation and design departments.It contributes to the scientifically-grounded preservation of the cultural and climate-adaptive characteristics of Qilou architecture,offering a novel pathway for the sustainable conservation of architectural heritage.关键词
海南骑楼/建筑遗产修复/生成式人工智能/多模态数据驱动/智能决策Key words
Hainan Qilou/architectural heritage restoration/generative artificial intelligence/multimodal data-driven/intelligent decision-making分类
建筑与水利引用本文复制引用
万莹莹,王韬,李花旭..生成式AI驱动的海南骑楼建筑修复:技术路径与导则构建[J].北京建筑大学学报,2026,42(2):61-70,10.基金项目
北京建筑大学研究生创新项目(PG2024007) （PG2024007）
北京建筑大学博士研究生科研能力提升项目(DG2025003). （DG2025003）
