Generating BIM model from structural and architectural plans using Artificial Intelligence

Over the last few decades, building development has been recorded using hand-made blueprints before CAD tools appeared and later with digital building plans. As a consequence, there is alarge amount of information in millions of assets that are hard to process because of their analog nature. Since a...

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Detalles Bibliográficos
Autores principales: Urbieta, Martín, Urbieta, Mario Matías, Laborde, Tomás, Villarreal, Guillermo, Rossi, Gustavo Héctor
Formato: Articulo
Lenguaje:Inglés
Publicado: 2023
Materias:
Informática
BIM
Machine-Learning
Blueprints
Floor plans
As-build
Building
Model generation
IFC
2D drawing
Architectural plans
Structural Plans
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160243
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160243
record_format dspace
spelling I19-R120-10915-1602432023-11-16T20:08:04Z http://sedici.unlp.edu.ar/handle/10915/160243 Generating BIM model from structural and architectural plans using Artificial Intelligence Urbieta, Martín Urbieta, Mario Matías Laborde, Tomás Villarreal, Guillermo Rossi, Gustavo Héctor 2023-09-06 2023-11-16T12:38:22Z en Informática BIM Machine-Learning Blueprints Floor plans As-build Building Model generation IFC 2D drawing Architectural plans Structural Plans Over the last few decades, building development has been recorded using hand-made blueprints before CAD tools appeared and later with digital building plans. As a consequence, there is alarge amount of information in millions of assets that are hard to process because of their analog nature. Since adopting the Building Information Model (BIM) approach, any new building plan can be subject to sophisticated validations and analysis. However, legacy analog plans cannot profit from sophisticated BIM analysis, and it is not feasible to manually generate BIM representations at low cost. There is a demand for BIM models of existing buildings that are feasible to be integrated into a workflow for building energy retrofitting. This paper presents a novel approach to generating BIM Models based on artificial intelligence algorithms by parsing architectural and structural drawings. To identify elements from blueprints and generate the model, we first trained the Mask R-CNN framework with our dataset of 9 concrete buildings composed of architectural and structural blueprints. The outcome of the process is a BIM model corresponding to one of the multi-storey buildings using the Industry Foundation Classes (IFC) format. Building development has been recorded using hand-made blueprints before CAD tools appeared and later with digital building plans. Laboratorio de Investigación y Formación en Informática Avanzada Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Informática
BIM
Machine-Learning
Blueprints
Floor plans
As-build
Building
Model generation
IFC
2D drawing
Architectural plans
Structural Plans
spellingShingle Informática
BIM
Machine-Learning
Blueprints
Floor plans
As-build
Building
Model generation
IFC
2D drawing
Architectural plans
Structural Plans
Urbieta, Martín
Urbieta, Mario Matías
Laborde, Tomás
Villarreal, Guillermo
Rossi, Gustavo Héctor
Generating BIM model from structural and architectural plans using Artificial Intelligence
topic_facet Informática
BIM
Machine-Learning
Blueprints
Floor plans
As-build
Building
Model generation
IFC
2D drawing
Architectural plans
Structural Plans
description Over the last few decades, building development has been recorded using hand-made blueprints before CAD tools appeared and later with digital building plans. As a consequence, there is alarge amount of information in millions of assets that are hard to process because of their analog nature. Since adopting the Building Information Model (BIM) approach, any new building plan can be subject to sophisticated validations and analysis. However, legacy analog plans cannot profit from sophisticated BIM analysis, and it is not feasible to manually generate BIM representations at low cost. There is a demand for BIM models of existing buildings that are feasible to be integrated into a workflow for building energy retrofitting. This paper presents a novel approach to generating BIM Models based on artificial intelligence algorithms by parsing architectural and structural drawings. To identify elements from blueprints and generate the model, we first trained the Mask R-CNN framework with our dataset of 9 concrete buildings composed of architectural and structural blueprints. The outcome of the process is a BIM model corresponding to one of the multi-storey buildings using the Industry Foundation Classes (IFC) format. Building development has been recorded using hand-made blueprints before CAD tools appeared and later with digital building plans.
format Articulo
Articulo
author Urbieta, Martín
Urbieta, Mario Matías
Laborde, Tomás
Villarreal, Guillermo
Rossi, Gustavo Héctor
author_facet Urbieta, Martín
Urbieta, Mario Matías
Laborde, Tomás
Villarreal, Guillermo
Rossi, Gustavo Héctor
author_sort Urbieta, Martín
title Generating BIM model from structural and architectural plans using Artificial Intelligence
title_short Generating BIM model from structural and architectural plans using Artificial Intelligence
title_full Generating BIM model from structural and architectural plans using Artificial Intelligence
title_fullStr Generating BIM model from structural and architectural plans using Artificial Intelligence
title_full_unstemmed Generating BIM model from structural and architectural plans using Artificial Intelligence
title_sort generating bim model from structural and architectural plans using artificial intelligence
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/160243
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