Automation in Construction· 2022Q1· Review
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
- 933citations
- Q1SCImago
- 2022year
Short summary
This review surveys AI, ML, and DL applications across the entire building lifecycle in Construction 4.0, from design to end-of-life, including data strategies and challenges.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI/ML/DL applications span architectural design, material optimization, structural analysis, offsite manufacturing, construction management, safety, and building operations.
- The review covers the entire building lifecycle, from conceptualization to end-of-life.
- Data collection strategies using smart vision and sensors, along with data cleaning and storage, are discussed.
- Challenges in model development and future research trends are elaborated.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Automation in Construction, 2022 · DOI ↗
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Field: Civil and Structural Engineering
Civil and Structural EngineeringEngineering