Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral

[EN] The article presents a methodology for integrating data into 3D Heritage Building Information Modeling (3D-HBIM) digital models, specifically focusing on the Chapel of the Holy Chalice case study in the Metropolitan Cathedral of Valencia. This approach is oriented towards efficiently managing a...

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Autores: Escudero, Pablo Ariel|||0000-0002-2655-1391, López González, María Concepción|||0000-0001-7542-3559, G-Valldecabres, Jorge|||0000-0003-0188-4330
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/211040
Acceso en línea:https://riunet.upv.es/handle/10251/211040
Access Level:acceso abierto
Palabra clave:Scan-to-BIM
HBIM
Digital twins
Architectural heritage
Valencia Cathedral
EXPRESION GRAFICA ARQUITECTONICA
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spelling Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia CathedralEscudero, Pablo Ariel|||0000-0002-2655-1391López González, María Concepción|||0000-0001-7542-3559G-Valldecabres, Jorge|||0000-0003-0188-4330Scan-to-BIMHBIMDigital twinsArchitectural heritageValencia CathedralEXPRESION GRAFICA ARQUITECTONICA[EN] The article presents a methodology for integrating data into 3D Heritage Building Information Modeling (3D-HBIM) digital models, specifically focusing on the Chapel of the Holy Chalice case study in the Metropolitan Cathedral of Valencia. This approach is oriented towards efficiently managing and visualising crucial information for conserving architectural heritage. The methodology begins with data acquisition through terrestrial laser scanning (TLS), an advanced technique that enables the acquisition of an accurate and detailed point cloud of the architectural environment. Following data acquisition, a meticulous process of segmentation and processing is undertaken. This phase involves the use of various machine learning algorithms, including Random Sample Consensus (RANSAC) and K-Means, for data classification. These algorithms play a crucial role in identifying and classifying points based on their geometry and chromatic characteristics. A key feature of the approach is the use of colorimetry-based classification, which detects significant changes in the RGB values of the points, thereby aiding in the identification of patterns and potential deterioration in construction materials. The processed data are seamlessly integrated into BIM environments, enabling the incorporation of detailed alphanumeric data and the comprehensive visualisation and analysis of three-dimensional models. This integration is pivotal for the accurate representation and analysis of heritage architecture, providing a robust foundation for decision-making regarding its conservation and maintenance. The article examines the benefits of the proposed methodology, highlighting how the combination of advanced data acquisition techniques and digital processing can significantly enhance the representation and analysis of historical architectural structures.Università di BolognaDepartamento de Expresión Gráfica ArquitectónicaCentro de Investigación en Ingeniería MecánicaEscuela Técnica Superior de Ingeniería de EdificaciónCentro de Investigación en Métodos de Producción de Software - ProSCentro de Investigación en Arquitectura, Patrimonio y Gestion para el desarrollo SostenibleAGENCIA ESTATAL DE INVESTIGACIONRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-07-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/211040reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119088RB-I00 ANALISIS Y DESARROLLO DE LA INTEGRACION HBIM EN SIG PARA LA CREACION DE UN PROTOCOLO DE PLANIFICACION TURISTICA DEL PATRIMONIO CULTURAL DE UN DESTINOAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 PRE2021-097263 ANALISIS Y DESARROLLO DE LA INTEGRACION HBIM EN SIG PARA LA CREACION DE UN PROTOCOLO DE PLANIFICACION TURISTICA DEL PATRIMONIO CULTURAL DE UN DESTINOopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2110402026-06-13T07:49:27Z
dc.title.none.fl_str_mv Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
title Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
spellingShingle Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
Escudero, Pablo Ariel|||0000-0002-2655-1391
Scan-to-BIM
HBIM
Digital twins
Architectural heritage
Valencia Cathedral
EXPRESION GRAFICA ARQUITECTONICA
title_short Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
title_full Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
title_fullStr Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
title_full_unstemmed Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
title_sort Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
dc.creator.none.fl_str_mv Escudero, Pablo Ariel|||0000-0002-2655-1391
López González, María Concepción|||0000-0001-7542-3559
G-Valldecabres, Jorge|||0000-0003-0188-4330
author Escudero, Pablo Ariel|||0000-0002-2655-1391
author_facet Escudero, Pablo Ariel|||0000-0002-2655-1391
López González, María Concepción|||0000-0001-7542-3559
G-Valldecabres, Jorge|||0000-0003-0188-4330
author_role author
author2 López González, María Concepción|||0000-0001-7542-3559
G-Valldecabres, Jorge|||0000-0003-0188-4330
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Expresión Gráfica Arquitectónica
Centro de Investigación en Ingeniería Mecánica
Escuela Técnica Superior de Ingeniería de Edificación
Centro de Investigación en Métodos de Producción de Software - ProS
Centro de Investigación en Arquitectura, Patrimonio y Gestion para el desarrollo Sostenible
AGENCIA ESTATAL DE INVESTIGACION
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Scan-to-BIM
HBIM
Digital twins
Architectural heritage
Valencia Cathedral
EXPRESION GRAFICA ARQUITECTONICA
topic Scan-to-BIM
HBIM
Digital twins
Architectural heritage
Valencia Cathedral
EXPRESION GRAFICA ARQUITECTONICA
description [EN] The article presents a methodology for integrating data into 3D Heritage Building Information Modeling (3D-HBIM) digital models, specifically focusing on the Chapel of the Holy Chalice case study in the Metropolitan Cathedral of Valencia. This approach is oriented towards efficiently managing and visualising crucial information for conserving architectural heritage. The methodology begins with data acquisition through terrestrial laser scanning (TLS), an advanced technique that enables the acquisition of an accurate and detailed point cloud of the architectural environment. Following data acquisition, a meticulous process of segmentation and processing is undertaken. This phase involves the use of various machine learning algorithms, including Random Sample Consensus (RANSAC) and K-Means, for data classification. These algorithms play a crucial role in identifying and classifying points based on their geometry and chromatic characteristics. A key feature of the approach is the use of colorimetry-based classification, which detects significant changes in the RGB values of the points, thereby aiding in the identification of patterns and potential deterioration in construction materials. The processed data are seamlessly integrated into BIM environments, enabling the incorporation of detailed alphanumeric data and the comprehensive visualisation and analysis of three-dimensional models. This integration is pivotal for the accurate representation and analysis of heritage architecture, providing a robust foundation for decision-making regarding its conservation and maintenance. The article examines the benefits of the proposed methodology, highlighting how the combination of advanced data acquisition techniques and digital processing can significantly enhance the representation and analysis of historical architectural structures.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/211040
url https://riunet.upv.es/handle/10251/211040
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119088RB-I00 ANALISIS Y DESARROLLO DE LA INTEGRACION HBIM EN SIG PARA LA CREACION DE UN PROTOCOLO DE PLANIFICACION TURISTICA DEL PATRIMONIO CULTURAL DE UN DESTINO
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 PRE2021-097263 ANALISIS Y DESARROLLO DE LA INTEGRACION HBIM EN SIG PARA LA CREACION DE UN PROTOCOLO DE PLANIFICACION TURISTICA DEL PATRIMONIO CULTURAL DE UN DESTINO
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Università di Bologna
publisher.none.fl_str_mv Università di Bologna
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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