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Digital management focused on the preventive maintenance of World Heritage Sites

Identifiers
URI: http://hdl.handle.net/20.500.12251/2543
View/Open: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108422388&doi=10.1016%2fj.autcon.2021.103813&partnerID=40&md5=1c0e4c8c688840e98754cf573921ec59
ISSN: 9265805
DOI: 10.1016/j.autcon.2021.103813
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Author
Torres González, Marta; Prieto Ibáñez, Andrés José; Alejandre Sánchez, Francisco Javier; Blasco López, Francisco Javier
Date
2021
Subject/s

Mantenimiento preventivo

Digitalización 3D

Patrimonio arquitectónico

Patologías - Construcción

Obras de reparación

Tecnología digital

Unesco Subject/s

2209.90 Tratamiento Digital. Imágenes

5506.01 Historia de la Arquitectura

5506.02 Historia del Arte

Abstract

The digital management of heritage buildings is a new disruptive technology in the design and implementation of effective preventive preservation strategies and programmes that can manage data from such buildings and the knowledge of professional experts in the area. At heritage sites, preventive conservation requires multidisciplinary knowledge of historical heritage diagnosis; therefore, professional experts' assessments are essential. This paper presents the application of an innovative fuzzy inference system that can quantify the vulnerabilities and risks that face World Heritage Sites, as well as their functional service life. This work can help stakeholders develop innovative procedures and improve mitigation strategies, such as preventive maintenance programmes and future control systems for maximising the resilience of specific heritage complexes. To validate this innovative approach, one of the most iconic heritage buildings was used as a case study: the Royal Alcázar of Seville, Spain. © 2021 Elsevier B.V.

The digital management of heritage buildings is a new disruptive technology in the design and implementation of effective preventive preservation strategies and programmes that can manage data from such buildings and the knowledge of professional experts in the area. At heritage sites, preventive conservation requires multidisciplinary knowledge of historical heritage diagnosis; therefore, professional experts' assessments are essential. This paper presents the application of an innovative fuzzy inference system that can quantify the vulnerabilities and risks that face World Heritage Sites, as well as their functional service life. This work can help stakeholders develop innovative procedures and improve mitigation strategies, such as preventive maintenance programmes and future control systems for maximising the resilience of specific heritage complexes. To validate this innovative approach, one of the most iconic heritage buildings was used as a case study: the Royal Alcázar of Seville, Spain. © 2021 Elsevier B.V.

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