Implementing Artificial Intelligence in H-BIM Using the J48 Algorithm to Manage Historic Buildings |
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Authors: | David Bienvenido-Huertas Juan Enrique Nieto-Julián Juan José Moyano Juan Manuel Macías-Bernal José Castro |
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Affiliation: | 1. Department of Graphical Expression and Building Engineering, University of Seville , Seville, Spain jbienvenido@us.eshttps://orcid.org/0000-0003-0716-8589;3. Department of Graphical Expression and Building Engineering, University of Seville , Seville, Spain https://orcid.org/0000-0002-1413-3811;4. Department of Graphical Expression and Building Engineering, University of Seville , Seville, Spain https://orcid.org/0000-0002-2186-6159;5. Department of Building Construction II, University of Seville , Seville, Spain https://orcid.org/0000-0001-6073-9745;6. Department of Building Construction II, University of Seville , Seville, Spain |
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Abstract: | ABSTRACT 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. |
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