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Preventive Conservation and Restoration Monitoring of Heritage Buildings Based on Fuzzy Logic

Identifiers
URI: http://hdl.handle.net/20.500.12251/3054
View/Open: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125955140&doi=10.1080%2f15583058.2021.2018520&partnerID=40&md5=ee9f49c592c998eafb28791d87c54183
ISSN: 1558-3058
DOI: 10.1080/15583058.2021.2018520
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Author
Moreno, M.; Prieto Ibáñez, Andrés José; Ortiz, R.; Cagigas Muñiz, D.; Becerra, J.; [et al.]
Date
2022
Subject/s

Conservación del Patrimonio

Patrimonio edificado

Programas informáticos

Conservación preventiva

Inteligencia Artificial

Vulnerabilidad - Construcción

Art-Risk - Programa informático -

Impacto medioambiental

Vida útil - Edificación

Unesco Subject/s

3305.26 Edificios Públicos

3310.04 Ingeniería de Mantenimiento

2501.21 Simulación Numérica

Abstract

This article discusses the usability of the Art-Risk 3.0 software for research on the conservation of heritage buildings. It is a new and free software based on fuzzy logic, which enables the assessment of preventive conservation and surveillance of the restoration of heritage buildings over a period of time. This artificial intelligence-based tool considers the vulnerability of buildings, their environments, and their management to evaluate the necessity of their restoration or preventive conservation. To validate the Art-Risk 3.0, 500 theoretical case studies were analyzed, and a 14th-century Mudejar-Gothic-style Church in Seville, Spain was studied both before and after its restoration to identify post-restoration changes. This proof of concept demonstrates the capability of the Art-Risk 3.0 software to analyze environmental impacts on the vulnerability, risk, and functional service life of buildings, and assess the effectiveness of restoration activities. Additionally, this software identifies the most problematic factors and the necessity of restoration. © 2022 Taylor & Francis.

This article discusses the usability of the Art-Risk 3.0 software for research on the conservation of heritage buildings. It is a new and free software based on fuzzy logic, which enables the assessment of preventive conservation and surveillance of the restoration of heritage buildings over a period of time. This artificial intelligence-based tool considers the vulnerability of buildings, their environments, and their management to evaluate the necessity of their restoration or preventive conservation. To validate the Art-Risk 3.0, 500 theoretical case studies were analyzed, and a 14th-century Mudejar-Gothic-style Church in Seville, Spain was studied both before and after its restoration to identify post-restoration changes. This proof of concept demonstrates the capability of the Art-Risk 3.0 software to analyze environmental impacts on the vulnerability, risk, and functional service life of buildings, and assess the effectiveness of restoration activities. Additionally, this software identifies the most problematic factors and the necessity of restoration. © 2022 Taylor & Francis.

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