Digital 3D reconstruction in architecture is a powerful tool for monitoring construction sites, tracking project progress, and ensuring quality control. This method involves the use of digital survey technologies, such as drones, laser scanners, and 3D modelling software, to acquire precise and detailed data on the construction process. If we consider surveying to be a phase of documenting the existing, it is possible to talk about an architectural census as the process of collecting and analysing data on buildings and structures. This information is crucial for management and planning, as it can help identify issues related to building safety, accessibility, and sustainability. The research project aims to quickly obtain a database of documentation and historical, dimensional, morphological, and material knowledge of a university building in the historic centre of Pavia that is now disused, to develop an information system for quick census and monitoring.

Digital documentation and fast census for monitoring the university's built Heritage

Silvia La Placa
;
Elisabetta Doria
2024-01-01

Abstract

Digital 3D reconstruction in architecture is a powerful tool for monitoring construction sites, tracking project progress, and ensuring quality control. This method involves the use of digital survey technologies, such as drones, laser scanners, and 3D modelling software, to acquire precise and detailed data on the construction process. If we consider surveying to be a phase of documenting the existing, it is possible to talk about an architectural census as the process of collecting and analysing data on buildings and structures. This information is crucial for management and planning, as it can help identify issues related to building safety, accessibility, and sustainability. The research project aims to quickly obtain a database of documentation and historical, dimensional, morphological, and material knowledge of a university building in the historic centre of Pavia that is now disused, to develop an information system for quick census and monitoring.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1491087
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