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ORCID: https://orcid.org/0009-0000-8023-5376, González García, María de las Nieves
ORCID: https://orcid.org/0000-0002-0299-0840 and Martins, Joâo Poças
ORCID: https://orcid.org/0000-0001-9878-3792
(2025).
BIM for Safety: Applying Real-Time Monitoring Technologies to Prevent Falls from Height in Construction.
"Applied Sciences", v. 15
(n. 4);
p. 2218.
ISSN 20763417.
https://doi.org/10.3390/app15042218.
| Título: | BIM for Safety: Applying Real-Time Monitoring Technologies to Prevent Falls from Height in Construction |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Applied Sciences |
| Fecha: | 1 Febrero 2025 |
| ISSN: | 20763417 |
| Volumen: | 15 |
| Número: | 4 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | BIM; Design; Fall from height; Framework; Inspection; Management; Model; Monitoring; Neural-Networks; Safet; Safety; System; Technology; TRACKIN |
| Escuela: | E.T.S. de Edificación (UPM) |
| Departamento: | Construcciones Arquitectónicas y su Control |
| Licencias Creative Commons: | Reconocimiento |
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There are significant risks in the construction sector, with falls from height identified a greater hazard than in most other industries. Efforts to improve working conditions and reduce accident rates have driven research into real-time monitoring technologies to reduce the risk of falls. The main objective of this research is to review existing real-time monitoring technologies, identify the most relevant, and analyse their benefits and impact on reducing workplace accidents in the construction sector. A systematic review was conducted using PRISMA methodology to investigate the use of real-time monitoring technologies in the construction industry. Only studies specifically investigating real-time fall risk assessment were included. Of the initial 446 articles reviewed, 39 were considered highly relevant to the research objectives. Various wireless and computer vision technologies were identified for real-time worker monitoring, often integrated with BIM to improve workplace safety. The findings suggest that a combination of technologies may produce more effective results for worker monitoring. However, further research is needed to verify the applicability of these technologies on construction sites.
| ID de Registro: | 93242 |
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| Identificador DC: | https://oa.upm.es/93242/ |
| Identificador OAI: | oai:oa.upm.es:93242 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/10329620 |
| Identificador DOI: | 10.3390/app15042218 |
| URL Oficial: | https://www.mdpi.com/2076-3417/15/4/2218 |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 22 Ene 2026 06:03 |
| Ultima Modificación: | 19 Mar 2026 12:04 |
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