Review

Application of artificial intelligence and machine learning for BIM: review

¹ IRAMAT, UMR CNRS 7065, Université de Technologies de Belfort-Montbéliard, 90010 Cedex Belfort, France
² Centre Borelli, UMR CNRS 9010 ENS – Université Paris Saclay, France
³ Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Tallin, Estonia
⁴ School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China

^* e-mail: haochen.chang@utbm.fr

Received: 29 April 2023
Accepted: 29 May 2023

Abstract

Quality control is very important aspect in Building Information Modelling (BIM) workflows. Whatever stage of the lifecycle it is important to get and to follow building indicators. The BIM it is very data consuming field and analysis of these data require advance numerical tools from image processing to big data analysis. Artificial intelligent (AI) and machine learning (ML) had proven their efficiency to deal with automate processes and extract useful sources of data in different industries. In addition to the indicators tracking, AI and ML can make a good prediction about when and where to provide maintenance and/or quality control. In this article, a review of the AI and ML application in BIM will be presented. Further suggestions and challenges will be also discussed. The aim is to provide knowledge on the needs nowadays into building and landscaping domain, and to give a wide understanding on how those technics would impact industries and future studies.