A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
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.
Graphical abstract Display Omitted
Highlights AI, ML and DL are transforming the building and construction industry 4.0. Robotics, IoT, Digital Twins, 4D Printing, Cloud AR/VR, Blockchain are future trends. AI techniques can be used throughout the whole building lifecycle. Sensor and vision-based data acquisition can facilitate ML/DL implementation.
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
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.
Graphical abstract Display Omitted
Highlights AI, ML and DL are transforming the building and construction industry 4.0. Robotics, IoT, Digital Twins, 4D Printing, Cloud AR/VR, Blockchain are future trends. AI techniques can be used throughout the whole building lifecycle. Sensor and vision-based data acquisition can facilitate ML/DL implementation.
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
Baduge, Shanaka Kristombu (author) / Thilakarathna, Sadeep (author) / Perera, Jude Shalitha (author) / Arashpour, Mehrdad (author) / Sharafi, Pejman (author) / Teodosio, Bertrand (author) / Shringi, Ankit (author) / Mendis, Priyan (author)
2022-06-14
Article (Journal)
Electronic Resource
English