Artificial intelligence and smart vision for building and construction 4.0: machine and deep learning methods and applications

Shanaka Kristombu Baduge, Sadeep Thilakarathna, Jude Shalitha Perera, Mehrdad Arashpour, Pejman Sharafi, Bertrand Teodosio, Amkit Shringi, Priyan Mendis

Research output: Contribution to journalReview ArticleResearchpeer-review

155 Citations (Scopus)

Abstract

This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in the facets of architectural design and visualization; material design and optimization; structural design and analysis; offsite manufacturing and automation; construction management, progress monitoring, and safety; smart operation, building management and health monitoring; and durability, life cycle analysis, and circular economy. This paper presents a unique perspective on applications of AI/DL/ML in these domains for the complete building lifecycle, from conceptual stage, design stage, construction stage, operational and maintenance stage until the end of life. Furthermore, data collection strategies using smart vision and sensors, data cleaning methods (post-processing), data storage for developing these models are discussed, and the challenges in model development and strategies to overcome these challenges are elaborated. Future trends in these domains and possible research avenues are also presented.

Original languageEnglish
Article number104440
Number of pages26
JournalAutomation in Construction
Volume141
DOIs
Publication statusPublished - Sept 2022

Keywords

  • Artificial intelligence
  • Artificial neural network
  • Automation
  • Building information modelling
  • Convolution neural network
  • Deep learning
  • Generative adversarial network
  • Internet of things
  • Machine learning
  • Smart vision

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