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Beyond digital shadows: A Digital Twin for monitoring earthwork operation in large infrastructure projects.

Authors :
Rogage, Kay
Mahamedi, Elham
Brilakis, Ioannis
Kassem, Mohamad
Source :
AI in Civil Engineering; 12/28/2022, Vol. 1 Issue 1, p1-21, 21p
Publication Year :
2022

Abstract

Current research on Digital Twin (DT) is largely focused on the performance of built assets in their operational phases as well as on urban environment. However, Digital Twin has not been given enough attention to construction phases, for which this paper proposes a Digital Twin framework for the construction phase, develops a DT prototype and tests it for the use case of measuring the productivity and monitoring of earthwork operation. The DT framework and its prototype are underpinned by the principles of versatility, scalability, usability and automation to enable the DT to fulfil the requirements of large-sized earthwork projects and the dynamic nature of their operation. Cloud computing and dashboard visualisation were deployed to enable automated and repeatable data pipelines and data analytics at scale and to provide insights in near-real time. The testing of the DT prototype in a motorway project in the Northeast of England successfully demonstrated its ability to produce key insights by using the following approaches: (i) To predict equipment utilisation ratios and productivities; (ii) To detect the percentage of time spent on different tasks (i.e., loading, hauling, dumping, returning or idling), the distance travelled by equipment over time and the speed distribution; and (iii) To visualise certain earthwork operations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20970943
Volume :
1
Issue :
1
Database :
Complementary Index
Journal :
AI in Civil Engineering
Publication Type :
Academic Journal
Accession number :
169746944
Full Text :
https://doi.org/10.1007/s43503-022-00009-5