利用现代技术和工具实现历史建筑的数字化

Anna Prokop, Piotr Nazarko, L. Ziemiański
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引用次数: 3

摘要

本文旨在介绍现代技术在历史建筑数字化中应用的一些经验。重点放在空间数据收集的可能性,以及随后的3D建模。本文介绍了基于地面激光扫描和摄影测量的测量技术。作者通过使用激光扫描仪Faro Focus 3D和专用软件结合扫描(基于目标和云对云方法)获得点云。本文还介绍了基于点云的建筑结构建模方法的相关问题。作者提出了一些计算机软件工具,可以改进点云和建模过程的工作。由此产生的三维模型既可以作为历史建筑信息的来源,也可以作为创建空间有限元计算模型的充分基础。案例研究的主题是位于Rzeszów(波兰)的圣休伯特教堂,该教堂建于18世纪中叶,由Lubomirski家族赞助。这座洛可可教堂是该地区最有价值的建筑古迹之一。历史建筑信息模型(HBIM)有助于对这一珍贵古迹进行分析、可视化和保护实践。诊断物体的当前状态并评估其技术状况可能是建立计算有限元模型的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digitalization of historic buildings using modern technologies and tools
The aim of the paper is to present some experiences of using modern technologies to historical buildings digitalization. The emphasis is placed on the possibilities of spatial data collecting, as well as on subsequent 3D modelling. The paper describes the proposed survey techniques which are based on the Terrestrial Laser Scanning and photogrammetry. The authors obtained the point cloud by using the laser scanner Faro Focus 3D and dedicated software to combine scans (target based and cloud to cloud methods). The paper also provides an introduction to issues related to a method of building structure modelling based on a pointcloud. The authors proposed some computer software tools that could improve work with a point cloud and the modelling process. The resulting 3D model could be both a source of information about historical building and a sufficient base to create computational model with spatial finite elements. The subject of the case study is the St. Hubert Chapel located in Rzeszów (Poland) and built in the middle of the 18th century under the patronage of the Lubomirski family. This rococo chapel is one of the most valuable architectural monuments in the region. Historical Building Information Model (HBIM) could be helpful in analysis, visualisations and conservation practice of this precious monument. Diagnosing the current object state and assessing its technical condition could be the purpose of creating a computational FEM model.
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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
9
审稿时长
20 weeks
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