Jul 2026· ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences· Vol XI-4-2026, pp. 385-392· 0 citations· 7 references
TL;DR
This paper introduces an innovative two-stage method: segmenting, classifying, and enriching digital survey data into a BIM model; and developing a web viewer that hybridizes this BIM model with the original survey data.
Abstract
Abstract. The adoption of innovative digital heritage workflows in the Architecture, Engineering, and Construction (AEC) sector faces significant challenges, particularly in integrating digital survey data with Building Information Modeling (BIM) into a unified model. This paper begins with a literature review that outlines the geometric and software-environment constraints complicating such integration and examines various proposed solutions, with particular attention to open-source tools and standard formats. Building on this foundation, the paper introduces an innovative two-stage method: (1) segmenting, classifying, and enriching digital survey data into a BIM model; and (2) developing a web viewer that hybridizes this BIM model with the original survey data. The proposed workflow relies exclusively on open-source tools and open standards, with Industry Foundation Classes (IFC) used as the native editing format. A seamless continuity is established between the Bonsai add-on for Blender, used as a BIM authoring environment, and the web library That Open Engine, which serves as a dissemination tool enabling interactive querying of BIM data within a web browser. This library shares a common dependency on Three.js with 3DTilesRendererJS, allowing the overlay of a tiled photomesh of the asset. This integration enables the combination of an accurate geometric and visual representation with structured metadata interaction within a unified web environment. Overall, the proposed approach provides a robust and flexible framework for supporting practical applications such as dissemination, documentation, and diagnostic studies of heritage assets.
Building Information Modeling (BIM) and the Industry Foundation Classes (IFC) standard have become indispensable for ensuring interoperability and semantic consistency across digital construction workflows. Despite this importance, current approaches to IFC geometry extraction and reconstruction often rely heavily on a...
Murat Aydın· Discover Civil Engineering· 0 citations
An integrated and open digital workflow for the survey, management, and reuse of complex architectural heritage, using Villa Aldrovandi-Mazzacorati as a case study is presented, offering a scalable and transferable framework for future 3D heritage initiatives across architectural and territorial contexts.
Marco Medici, Andrea Sterpin, Stefano Settimo et al.· Journal on Computing and Cul...· 0 citations
A VN-tailored BIM–GIS workflow for as-built infrastructure modeling that standardizes data exchange using IFC and CityGML, harmonizes spatial data to the VN-2000 coordinate system, and automates semantic mapping via FME middleware is proposed and validates.
The results demonstrate the potential of hybrid AI and geometric approaches to improve the efficiency, repeatability, and reliability of Scan-to-BIM processes for historical masonry bridge heritage and show that the geometric quality of the HBIM model depends primarily on the density, spatial distribution and completen...
V. Alfio, Massimiliano Pepe, Donato Palumbo et al.· Applied Sciences· 0 citations
A framework with three core components has been developed, which contains a BIM model component, which contains the geometric, semantic, and orientation data of building elements and provides a set of functions to support collaborative design review.
Subin Thomas, SeyedReza RazaviAlavi, A. Suliman et al.· 2026: Transforming Construct...· 0 citations
This study proposes a “BIM-FEM” seamless conversion and dynamic twin mapping method that integrates parametric modeling with finite element meshing, with modeling and repair time reduced, and the maximum element aspect ratio improved.
Cai Liang, Wen-Yong Li, Chang-Hai Wang et al.· Applied Sciences· 0 citations
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