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From 3D Point Cloud to an Intelligent Model Set for Cultural Heritage Conservation

Academic Article
Publication Date:
2024
abstract:
Cultural heritage conservation demands interdisciplinary and complex documentation and analysis while facing increasing pressure to adopt sustainable and productive practices. This paper bridges these gaps by proposing a methodology and a set of requirements for Building Information Modeling (BIM) models aligned with European directives for sustainability and productivity in the Architecture, Engineering, and Construction (AEC) sector. Leveraging 3D scanning and intelligent models, we establish information needs specific to conservation, encompassing material properties, historical data, and decay analysis. Interoperability, compatibility with advanced analytical tools, and open-source formats are emphasized for seamless data integration and accessibility. We further introduce two use cases for BIM-enabled heritage conservation, illustrating the application of our proposed methodology in real-world scenarios. These cases exemplify how BIM models cater to the specific needs of cultural heritage sites, from their initial condition assessment to ongoing preservation efforts. Through these examples, we demonstrate the adaptability of BIM technology in capturing and managing the complex information associated with heritage conservation, including structural details, material characteristics, and historical significance. Our work highlights the potential of BIM to revolutionize heritage conservation practices, offering a digital backbone for documentation, analysis, and management that aligns with sustainability and productivity goals.
Iris type:
1.1 Articolo in rivista
Keywords:
3D scanning; building information modeling; cultural heritage conservation; interoperability
List of contributors:
Crisan, A.; Pepe, M.; Costantino, D.; Herban, S.
Authors of the University:
Pepe Massimiliano
Handle:
https://ricerca.unich.it/handle/11564/829391
Full Text:
https://ricerca.unich.it//retrieve/handle/11564/829391/427406/heritage-07-00068%20-%20metav.pdf
Published in:
HERITAGE
Journal
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URL

https://www.mdpi.com/2571-9408/7/3/68
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