摘要
历史风貌流失、设计修复缺乏依据、社会认知欠缺等是历史文化街区保护中普遍面临的困境。通过数据库对具有历史价值的建筑进行数字记录与分析是信息时代文化遗产传承的有效途径。以广东省汕头小公园开埠区中具有历史风貌的建筑为例,通过对建筑立面元素的数字化编码与机器学习协同训练构建综合性数据库,实现街区中历史风貌建筑案例的检索、风貌评估以及建筑立面原型探索等方面的应用。研究结果不仅为历史文化街区建筑的保护与传承提供了科学路径,也展现了数字技术在建筑文化遗产保护中的巨大应用潜力。
The preservation of historical street styles faces challenges due to the lack of design and restoration guidelines and the limitations of social awareness.Creating a digital record and analysis of buildings with historical value offers an effective approach for preserving cultural heritage in the digital era.Taking historically styled buildings in Shantou's Xiaogongyuan district as an example,a comprehensive database is established in this study by digitally encoding facade elements and training machine learning model.This enables applications such as historical style assessment and prototype analysis of building facades.The study not only provides scientific guidance for the conservation and restoration of historical buildings in cultural districts but also highlights the significant potential of digital technology in cultural heritage preservation.
作者
马兰
罗大杰
谢炜琳
汤众
何韶颖
Ma Lan;Luo Dajie;Xie Weilin;Tang Zhong;He Shaoying(School of Architecture and Urban Planning,Guangdong University of Technology,Guangzhou 510090,China;School of Architecture and Urban Planning,Tongji University,Shanghai 200092,China;General Education Center,Cultural Quality Education Center,Guangdong University of Technology,Guangzhou 510006,China)
出处
《广东工业大学学报》
2025年第6期126-133,共8页
Journal of Guangdong University of Technology
基金
国家自然科学基金资助项目(52308015)
国家社会科学基金资助项目(21BMZ111)
广东省自然科学基金资助项目(2024A1515011214)。
关键词
历史文化街区
数据库
机器学习
建筑立面
遗产保护
historical district
database
machine learning
building facade
heritage preservation
