Implementing Artificial Intelligence in H-BIM Using the J48 Algorithm to Manage Historic Buildings
The preservation of the architectural heritage is characterized by the intervention of different technicians, who may disagree on decision-making criteria. In recent years, the H-BIM methodology has emerged to manage these buildings, although the multidisciplinary technical personnel make the decisi...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Consejo General de la Arquitectura Técnica de España (CGATE) |
| Repositorio: | RIARTE |
| OAI Identifier: | oai:www.riarte.es:20.500.12251/1196 |
| Acceso en línea: | http://hdl.handle.net/20.500.12251/1196 https://doi.org/10.1080/15583058.2019.1589602 |
| Access Level: | acceso abierto |
| Palabra clave: | Patrimonio arquitectónico Building Information Modeling (BIM) Inteligencia Artificial Algoritmos Modelo H-BIM Alcázar de Sevilla Programas informáticos Modelado BIM Mantenimiento de edificios artificial intelligence decision trees geometric description language H-BIM project J48 algorithm Pavilion of Charles V Diagnosis Heritage 1203.26 Simulación 3305.01 Diseño Arquitectónico 3305.26 Edificios Públicos 1203.09 Diseño Con Ayuda del Ordenador |
| Sumario: | The preservation of the architectural heritage is characterized by the intervention of different technicians, who may disagree on decision-making criteria. In recent years, the H-BIM methodology has emerged to manage these buildings, although the multidisciplinary technical personnel make the decision-taking something of a challenge. In this regard, artificial intelligence may be an opportunity to establish automatic responses, thus optimizing the process. This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. The case study was focused on a tiles panel from a building which belongs to the Real Alcazar of Seville. First, a model of classification was developed to estimate the degree of intervention with an adequate degree of adjustment. Then, the model was implemented in the H-BIM software by programming using GDL. This methodology automates the decision-making and reduces times of assessments, visualizing and managing the information in the H-BIM model. © 2019, © 2019 Taylor & Francis. |
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