Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches
14 páginas, 20 figuras, 8 tablas
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/418782 |
| Acceso en línea: | http://hdl.handle.net/10261/418782 |
| Access Level: | acceso abierto |
| Palabra clave: | Diagnostics Laser scanner Artificial intelligence Timber floors Point cloud |
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Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approachesSanz-Honrado, PabloSantamaria Maestro, RubenAira-Zunzunegui, Jose RamónVillanueva-Llauradó, PaulaSanchez Aparicio, Luis JavierDiagnosticsLaser scannerArtificial intelligenceTimber floorsPoint cloud14 páginas, 20 figuras, 8 tablas[EN] In the field of Cultural Heritage, 3D point clouds are pivotal for representing scenes with high resolu- tion and accuracy. Although traditionally used for planimetries and computational modelling, this study explores their potential in diagnostics. A novel methodology is proposed that leverages 3D point clouds to evaluate deflection in historic timber slabs. By combining Artificial Intelligence with advanced 3D point cloud techniques, an approach is developed for detecting beam deflections with high precision. Specifically, a multi-resolution Random Forest classifier identifies beams and their faces, while deflection is computed using connected component and minimum bounding rectangle algorithms. Applied to timber slabs in the Nuestra Señora convent in Ávila. This methodology demon- strates promising results, achieving 99% accuracy in beam detection and a high degree of automation in deflection assessment. This approach offers significant advancements in the diagnostic capabilities of 3D point clouds in heritage conservation.[ES] Las nubes de puntos 3D son una fuente clave de información geométrica para el estudio y documen- tación del patrimonio construido, especialmente en la generación de planimetrías y modelos tridi- mensionales. Este artículo explora su potencial más allá de la representación visual, proponiendo una metodología innovadora para el análisis automatizado de deformaciones en forjados tradicio- nales de madera. La propuesta combina técnicas de inteligencia artificial, mediante el uso del algo- ritmo Random Forest para la identificación de los elementos constructivos, con algoritmos especí- ficos orientados a la evaluación geométrica de las deflexiones de los forjados. La metodología ha sido validada en un caso de estudio real —el Convento de Gracia en Ávila, mostrando resultados prometedores y un alto grado de automatización. En conjunto, la investigación aporta avances significativos en el uso de las nubes de puntos 3D como herramienta de diagnóstico estructural en patrimonio arquitectónico.This work has been supported by the Community of Madrid and the Higher Polytechnic School of Madrid through the Pro- ject CAREEN (desarrollo de nuevos métodos basados en inteligenCia ARtificial para la caracterización de daños en construccioEs históricas a través de nubEs de puNtos 3D) with reference APOYO-JOVENES-21-RCDT1L-85- SL9E1R. This work has been also partially funded by the Spanish Ministry of Science and Innovation through the grant CAS21/00557. Pablo Sanz’s pre-doctoral contract is part of grant PID2022-140071OB-C21, funded by MCIN/AEI/10.13039/501100011033 and ESF+.Peer reviewedConsejo Superior de Investigaciones Científicas (España)Comunidad de MadridMinisterio de Ciencia e Innovación (España)Sanz-Honrado, Pablo [0009-0009-1351-9411]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/418782reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MCINN//CAS21info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140071OB-C21https://informesdelaconstruccion.revistas.csic.es/index.php/informesdelaconstruccion/article/view/7096Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4187822026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches |
| title |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches |
| spellingShingle |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches Sanz-Honrado, Pablo Diagnostics Laser scanner Artificial intelligence Timber floors Point cloud |
| title_short |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches |
| title_full |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches |
| title_fullStr |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches |
| title_full_unstemmed |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches |
| title_sort |
Toward the automatic deflection analysis in historic timber slabs by combining 3D point clouds and machine learning approaches |
| dc.creator.none.fl_str_mv |
Sanz-Honrado, Pablo Santamaria Maestro, Ruben Aira-Zunzunegui, Jose Ramón Villanueva-Llauradó, Paula Sanchez Aparicio, Luis Javier |
| author |
Sanz-Honrado, Pablo |
| author_facet |
Sanz-Honrado, Pablo Santamaria Maestro, Ruben Aira-Zunzunegui, Jose Ramón Villanueva-Llauradó, Paula Sanchez Aparicio, Luis Javier |
| author_role |
author |
| author2 |
Santamaria Maestro, Ruben Aira-Zunzunegui, Jose Ramón Villanueva-Llauradó, Paula Sanchez Aparicio, Luis Javier |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Comunidad de Madrid Ministerio de Ciencia e Innovación (España) Sanz-Honrado, Pablo [0009-0009-1351-9411] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Diagnostics Laser scanner Artificial intelligence Timber floors Point cloud |
| topic |
Diagnostics Laser scanner Artificial intelligence Timber floors Point cloud |
| description |
14 páginas, 20 figuras, 8 tablas |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/418782 |
| url |
http://hdl.handle.net/10261/418782 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MCINN//CAS21 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140071OB-C21 https://informesdelaconstruccion.revistas.csic.es/index.php/informesdelaconstruccion/article/view/7096 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas (España) |
| publisher.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas (España) |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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