摘要
数字技术是古建筑文化遗产保护和活化利用的重要手段,该文借助CiteSpace分析工具对国内外古建筑数字化相关文献进行梳理与分析,挖掘研究热点与趋势形成知识图谱.研究结果表明:1)国内外有关于古建筑数字化研究的合总体上合作不够紧密,国外较为紧密的研究合作主要分布在意大利,而国内的主要集中在甘肃省敦煌市,表明古建筑的艺术价值是推动古建筑数字化研究合作交流的重要因素;2)随着时间推进,国内外有关古建筑数字化研究保护不断深入,体现在古建筑数据采集技术、数字化建模标准、平台的多样性和通用性等方面;3)在古建筑数字化研究领域,国外主要关注激光扫描技术,以此延伸出3D扫描和3D建模等技术,而国内以3D建模技术为核心,以此延伸出倾斜摄影测量、三维激光点云等技术.加强国内外研究机构合作,结合大数据、人工智能等技术热点,拓展古建筑数字化研究视角是今后重点关注方向.
Digital technology serves as an important tool for the preservation and revitalization of ancient architectural cultural heritage.Utilizing the CiteSpace analysis tool,this study systematically reviews and analyzes domestic and international literature on ancient building digitization,mapping the research hotspots and trends through a knowledge graph.Key findings are shown as follows.1)The institutions and universities at home and abroad that have done digital research on ancient buildings denmonstrate limited cross-border collaboration,and the institutions and universities with close research collaboration on digital protection of ancient buildings abroad are mainly distributed in Italy,while those in China are mainly in Dunhuang,Gansu Province,indicating that the artistic value of ancient buildings is an important factor to promote the cooperation and exchange of digital research on ancient buildings.2)With the advancement of time,the digital research and protection of ancient buildings at home and abroad have been deepened,and the diversity and versatility of data collection technology and digital modeling standards and platforms for ancient buildings have been gradually improved.3)In the field of digital research of ancient buildings,foreign countries mainly focus on laser scanning technology,which extends 3D modelling,3D scanning and other technologies,while domestic 3D modelling technology is the main one,which extends oblique photogrammetry,3D laser point cloud and other technologies.In the process of digital research of ancient buildings,it is the focus of the future to strengthen the cooperation between domestic and foreign research institutions,combine artificial intelligence,machine learning and other technical hotspots,and expand the perspective of digital research of ancient buildings.
作者
张文元
刘佳硕
谢菁
ZHANG Wenyuan;LIU Jiashuo;XIE Jing(National Research Center of Cultural Industries,Central China Normal University,Wuhan 430079,China)
出处
《华中师范大学学报(自然科学版)》
北大核心
2025年第4期493-508,共16页
Journal of Central China Normal University:Natural Sciences
基金
国家自然科学基金项目(41801295)
湖北省自然科学基金项目(2024AFB927)
中央高校基本科研业务费项目(CCNU25ZZ041).
