Analysis of the Current Status of Sensors and HBIM Integration: A Review Based on Bibliometric Analysis

[EN] This article presents a bibliometric analysis conducted on the implementation of sensor extracted data in the context of Historical Building Information Modeling (HBIM) with a focus on the conservation of heritage buildings. The study utilized recognized databases, namely, Web of Science (WoS)...

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Detalhes bibliográficos
Autores: Cornélio Vieira de Souza Rolim, Renan|||0000-0002-5963-9453, López González, María Concepción|||0000-0001-7542-3559, Viñals, Mª José|||0000-0002-7589-7815
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/205866
Acesso em linha:https://riunet.upv.es/handle/10251/205866
Access Level:acceso abierto
Palavra-chave:HBIM
Sensors
Data integration
Digital technologies
Heritage conservation
Preventive maintenance
Bibliometric analysis
Climate change
WoS and Scopus databases
GEOGRAFIA FISICA
EXPRESION GRAFICA ARQUITECTONICA
04.- Garantizar una educación de calidad inclusiva y equitativa, y promover las oportunidades de aprendizaje permanente para todos
Descrição
Resumo:[EN] This article presents a bibliometric analysis conducted on the implementation of sensor extracted data in the context of Historical Building Information Modeling (HBIM) with a focus on the conservation of heritage buildings. The study utilized recognized databases, namely, Web of Science (WoS) and Scopus. A bibliometric analysis methodology was applied, employing the VOSviewer 1.6.19 software. The results obtained provide a robust overview of the current state and trends in HBIM and sensor research and enabled the identification of emerging trends in the field of preventive conservation. Three promising trends were identified, establishing connections between this field and 4D spatial data management, energy performance, and artificial intelligence. Additionally, relations with climate change were also detected. These trends underscore a significant convergence of technologies and methodologies in the realm of heritage building conservation. The conclusions serve as a valuable contribution to guiding future research in the field of built heritage conservation.