Abdul Gbadamosi Abdul.Gbadamosi@uwe.ac.uk
Research Associate - Big Data Application Development
The role of Internet of Things in delivering smart construction
Gbadamosi, Abdul-Quayyum; Oyedele, Lukumon; Mahamadu, Abdul-Majeed; Kusimo, Habeeb; Olawale, Oladimeji
Authors
Lukumon Oyedele L.Oyedele@uwe.ac.uk
Professor in Enterprise & Project Management
Abdul Mahamadu Abdul.Mahamadu@uwe.ac.uk
Associate Lecturer - CATE - AAE - UAAE0001
Habeeb Kusimo Habeeb.Kusimo@uwe.ac.uk
Research Associate - Digital Construction with Big Data
Mr Oladimeji Olawale Oladimeji.Olawale@uwe.ac.uk
Research Associate - Project Reputation using Digital Technologies
Abstract
The construction industry is the least digitised sector in the world and it contributes significantly less, in terms of productivity, to the global economy than its average potential. Current trends in the construction industry are aimed at leveraging cutting-edge technologies to improve productivity and decision making, this approach is commonly referred to as smart construction. Smart construction involves the augmentation of construction resources such as machinery, devices, components and people with digital technologies for transforming the construction industry. Many aspects of construction have witnessed transformation through automation, cyber-physical systems, cloud- computing, cognitive computing, immersive technologies and so on. An emerging concept in digital technology known as internet of things (IoT) is gradually advancing the possibilities of smart construction in various areas of application. This study aims to assess the role of internet of things (IoT) in enhancing the delivery of smart construction. From the perspectives of modern construction methods such as offsite construction, lean construction, smart assembly and so on, this study presents a mixed methods systematic review of the various areas of application of IoT in modern construction methods and identifies the emerging themes of IoT application in smart construction. The methods and current challenges of using IoT in application areas such as; cyber-physical modelling; offsite manufacturing; onsite assembly; handling and logistics; real-time monitoring and control; health and safety; information management and communication; energy management; waste minimisation; remote inspection; and lean construction management, is presented in the paper. This study substantially contributes to existing knowledge of using digital technologies for transforming construction operations and lays a solid foundation for further research in the application of IoT for smart construction. The challenges identified from the various areas of IoT application are opportunities for the development of cutting-edge solutions in construction.
Presentation Conference Type | Presentation / Talk |
---|---|
Conference Name | CIB World Building Congress 2019 |
Start Date | Jul 17, 2019 |
End Date | Jul 21, 2019 |
Acceptance Date | Jun 21, 2019 |
Deposit Date | Jul 10, 2019 |
Publicly Available Date | Jul 10, 2019 |
Peer Reviewed | Not Peer Reviewed |
Keywords | Internet of Things, offsite construction, smart construction, assembly, efficiency |
Public URL | https://uwe-repository.worktribe.com/output/1492573 |
Additional Information | Title of Conference or Conference Proceedings : CIB World Building Congress 2019, Hong Kong SAR, China |
Contract Date | Jul 10, 2019 |
Files
Gbadamosi et al_Ab0501.pdf
(376 Kb)
PDF
You might also like
Big data for design options repository: Towards a DFMA approach for offsite construction
(2020)
Journal Article
Offsite construction: Developing a BIM-Based optimizer for assembly
(2019)
Journal Article
Complexities of smart city project success: A study of real-life case studies
(2019)
Presentation / Conference Contribution
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search