A new tool based on artificial intelligence and GIS for preventive conservation of heritage buildings
| Autor: | Martín, J. M., Prieto, A.J., Romero, A., Ortiz, R., Macías Bernal, Juan Manuel, Ortiz, P., Cagigas Muñiz, Daniel, Formisano, A. (Coordinador), Indirli, M. (Coordinador), Paolella, G. (Coordinador), Dobran, Flavio (Coordinador) |
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| Přispěvatelé: | Formisano, A., Indirli, M., Paolella, G., Dobran, Flavio, Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) |
| Popis: | This paper describes a new predictive model for preventive conservation of buildings. It allows for multiscenarios of several hazards, assessments of environmental risks, and the use level of buildings together with cultural val-ues of monuments. This modeling approach is based on fuzzy logic and geographic information system available to organizations dedicated to the restoration and rehabilitation in Spain. This system has a transversal development that includes urban, architectural, cultural heritage value, and the analysis of environmental and sociodemographic situations around the monuments. This new tool allows for decision making based on scientific criteria and minimizes risklosses of cultural assets |
| Databáze: | OpenAIRE |
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