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Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects
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 co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794475/ https://www.ncbi.nlm.nih.gov/pubmed/38013884 http://dx.doi.org/10.1007/s43503-022-00009-5 |
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author | Rogage, Kay Mahamedi, Elham Brilakis, Ioannis Kassem, Mohamad |
author_facet | Rogage, Kay Mahamedi, Elham Brilakis, Ioannis Kassem, Mohamad |
author_sort | Rogage, Kay |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9794475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-97944752022-12-28 Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects Rogage, Kay Mahamedi, Elham Brilakis, Ioannis Kassem, Mohamad AI Civ. Eng. Original Article 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. Springer Nature Singapore 2022-12-28 2022 /pmc/articles/PMC9794475/ /pubmed/38013884 http://dx.doi.org/10.1007/s43503-022-00009-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Rogage, Kay Mahamedi, Elham Brilakis, Ioannis Kassem, Mohamad Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects |
title | Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects |
title_full | Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects |
title_fullStr | Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects |
title_full_unstemmed | Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects |
title_short | Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects |
title_sort | beyond digital shadows: digital twin used for monitoring earthwork operation in large infrastructure projects |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794475/ https://www.ncbi.nlm.nih.gov/pubmed/38013884 http://dx.doi.org/10.1007/s43503-022-00009-5 |
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