Repository logo
 

Beyond Digital Shadows: a Digital Twin for monitoring earthwork operation in large infrastructure projects

Accepted version
Peer-reviewed

No Thumbnail Available

Type

Article

Change log

Authors

Rogage, Kay 
Mahamedi, Elham 
Kassem, Mohamad 

Abstract

Studies on Digital Twin (DT) have largely focussed on the operational phase of built assets and the urban environment. Digital Twin for the construction phase have received very limited attention. This paper proposes a Digital Twin framework for the construction phase, develops a DT prototype and test 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 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 such as; i) predicting a piece of equipment utilisation ratio and productivity, ii) detecting the percentage of time spent on each task status (i.e. loading, hauling, dumping, returning or idling), the distance travelled by equipment over time and their speed distributions, and iii) visualising earthwork operation.

Description

Keywords

Journal Title

AI in Civil Engineering

Conference Name

Journal ISSN

2097-0943
2730-5392

Volume Title

Publisher

Springer
Sponsorship
EPSRC (EP/V056441/1)
European Commission Horizon 2020 (H2020) Industrial Leadership (IL) (955269)
Highways England Company (Unknown)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (101034337)