EMPLOYING DIGITAL TWINS IN ENGINEERING PROJECT MANAGEMENT WITH APPLICATIONS IN CONSTRUCTIONS
Abstract
The study focuses on bridging the knowledge gap between modern technologies and construction project management, aiming for a clear vision of digitizing construction project management through the effective use of big data on digital twin platforms. By employing a suite of specialized digital tools, the proposal is to establish a practical system for managing construction projects, enhancing modeling, and data processing, and reducing associated risks. The investigation underscores the importance of a robust database developed through mature information systems and building an efficient model on digital twin platforms. The conclusions highlight the need for solid foundations for digital twins, including mature information systems for monitoring changes based on intelligent computational models. Efficient management of big data within BIM contributes to resolving technical and administrative issues in construction projects.
Full Text:
PDFReferences
G. Ryzhakova, O. Malykhina, V. Pokolenko, O. Rubtsova, O. Homenko, I. Nesterenko and T. Honcharenko, "Construction Project Management with Digital Twin Information System," International Journal of Emerging Technology and Advanced Engineering, vol. 12, no. 10, pp. 19-28, 2022.
T. Salem and M. Dragomir, "Digital Twins for Construction Projects—Developing a Risk Systematization Approach to Facilitate Anomaly Detection in Smart Buildings," Telecom, p. 135–145, 2023.
S. A. Adekunle, A. Clinton, O. Ejohwomu, E. A. Adekunle and W. Didibhuku Thwala, "Digital transformation in the construction industry: a bibliometric review," Journal of Engineering, Design and Technology, Vols. ahead-of-print, no. ahead-of-print, 2021.
B. Wang and Y. Wang, "Big data in safety management: An overview," Safety Science, vol. 143, no. 36, pp. 104 - 110, 2021.
Y. Celik, I. Petri and Y. Rezgui, "Leveraging BIM and Blockchain for Digital Twins," in 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Cardiff, United Kingdom, 2021.
R. Sacks, I. Brilakis, E. Pikas, H. S. Xie and M. Girolami, "Construction with digital twin information systems," Data-Centric Engineering, vol. 1, p. e14, 2020.
M. M. Rathore, S. A. Shah, D. Shukla, E. Bentafat and S. Bakiras, "The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities," IEEE Access, vol. 9, pp. 32030- 32052, 2021.
Q. Qi and F. Tao, "Digital Twin and Big Data Towards Smart manufacturing and Industry 4.0: 360 degree Comparison," IEEE access, vol. 6, pp. 3585 - 3593, 2018
R. He, M. Li, V. J. Gan and J. Ma, "BIM-enabled computerized design and digital fabrication of industrialized buildings: A case study," Journal of Cleaner Production, vol. 278, p. 123505, 2021.
X. Yin, H. Liu, Y. Chen and M. Al-Hussein, "Building information modelling for off-site construction: Review and future directions," Automation in Construction, vol. 101, pp. 72-91, 2019.
A. K. M. G. J. D. E. W.-J. L. S. N. S. J. N. B. Starzyńska, "Requirements elicitation of passengers with reduced mobility for the design of high quality, accessible and inclusive public transport services," Management and Production Engineering Review, vol. 6, no. 3, pp. 70-76, 2015.
Refbacks
- There are currently no refbacks.