Aplicación de BIM y Machine Learning en la construcción civil: una revisión de la literatura
DOI:
https://doi.org/10.46421/sbtic.v5i00.7559Palabras clave:
BIM, Inteligencia artificial, gestión de la información, aprendizaje automáticoResumen
En los últimos años, la industria AEC (Arquitectura, Ingeniería y Construcción) ha adoptado varias tecnologías para mejorar el desarrollo y la gestión de proyectos, con énfasis en el Modelado de Información de Construcción (BIM). BIM permite la estandarización y la colaboración en un entorno de datos común (CDE), lo que permite compartir información de construcción de manera integrada entre disciplinas. Además de facilitar la coordinación entre equipos, también contribuye a la excelencia en el ciclo de vida del proyecto. Sin embargo, el análisis de datos complejos o la interacción con otros mecanismos requieren el uso combinado de BIM con Machine Learning (ML). ML es un conjunto de herramientas probabilísticas para analizar datos históricos con análisis predictivo. La integración entre BIM y ML amplía el análisis de datos, permitiendo nuevas aplicaciones innovadoras para el proyecto. Este estudio tuvo como objetivo recopilar los principales avances tecnológicos que integran BIM y ML, con base en publicaciones académicas del año 2014 al 2024. Como resultado, se obtuvieron 168 publicaciones distribuidas en las áreas de Planificación, Calidad, Seguridad, Sostenibilidad, Arquitectura, Ingeniería y BIM. En las últimas décadas se han observado importantes avances en la utilización de estas tecnologías en la construcción civil, destacando el avance del sector en la informatización de los procesos.
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Derechos de autor 2025 SIMPOSIO BRASILEÑO SOBRE TECNOLOGÍAS DE LA INFORMACIÓN Y LA COMUNICACIÓN EN LA CONSTRUCCIÓN
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