Construction with digital twin information systems
The concept of a “digital twin” as a model for data-driven management and control of physical systems has emerged over the past decade in the domains of manufacturing, production, and operations. In the context of buildings and civil infrastructure, the notion of a digital twin remains ill-defined,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2020-01-01
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| Series: | Data-Centric Engineering |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2632673620000167/type/journal_article |
| _version_ | 1827995158154575872 |
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| author | Rafael Sacks Ioannis Brilakis Ergo Pikas Haiyan Sally Xie Mark Girolami |
| author_facet | Rafael Sacks Ioannis Brilakis Ergo Pikas Haiyan Sally Xie Mark Girolami |
| author_sort | Rafael Sacks |
| collection | DOAJ |
| description | The concept of a “digital twin” as a model for data-driven management and control of physical systems has emerged over the past decade in the domains of manufacturing, production, and operations. In the context of buildings and civil infrastructure, the notion of a digital twin remains ill-defined, with little or no consensus among researchers and practitioners of the ways in which digital twin processes and data-centric technologies can support design and construction. This paper builds on existing concepts of Building Information Modeling (BIM), lean project production systems, automated data acquisition from construction sites and supply chains, and artificial intelligence to formulate a mode of construction that applies digital twin information systems to achieve closed loop control systems. It contributes a set of four core information and control concepts for digital twin construction (DTC), which define the dimensions of the conceptual space for the information used in DTC workflows. Working from the core concepts, we propose a DTC information system workflow—including information stores, information processing functions, and monitoring technologies—according to three concentric control workflow cycles. DTC should be viewed as a comprehensive mode of construction that prioritizes closing the control loops rather than an extension of BIM tools integrated with sensing and monitoring technologies. |
| first_indexed | 2024-04-10T04:52:10Z |
| format | Article |
| id | doaj.art-ff5fdd0cbb4248f198cdd74708a89329 |
| institution | Directory Open Access Journal |
| issn | 2632-6736 |
| language | English |
| last_indexed | 2024-04-10T04:52:10Z |
| publishDate | 2020-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data-Centric Engineering |
| spelling | doaj.art-ff5fdd0cbb4248f198cdd74708a893292023-03-09T12:31:43ZengCambridge University PressData-Centric Engineering2632-67362020-01-01110.1017/dce.2020.16Construction with digital twin information systemsRafael Sacks0https://orcid.org/0000-0001-9427-5053Ioannis Brilakis1Ergo Pikas2Haiyan Sally Xie3Mark Girolami4https://orcid.org/0000-0003-3008-253XFaculty of Civil and Environmental Engineering, Technion—Israel Institute of Technology, Haifa 32000, Israel Department of Engineering, University of Cambridge, Cambridge, United KingdomDepartment of Engineering, University of Cambridge, Cambridge, United KingdomCivil Engineering, Aalto University, FI-00076 Aalto, FinlandDepartment of Engineering, University of Cambridge, Cambridge, United Kingdom Department of Technology, Illinois State University, Normal, IL 61790-5000, USADepartment of Engineering, University of Cambridge, Cambridge, United Kingdom The Alan Turing Institute, 2QR, 96 Euston Road, London NW1 2DB, United KingdomThe concept of a “digital twin” as a model for data-driven management and control of physical systems has emerged over the past decade in the domains of manufacturing, production, and operations. In the context of buildings and civil infrastructure, the notion of a digital twin remains ill-defined, with little or no consensus among researchers and practitioners of the ways in which digital twin processes and data-centric technologies can support design and construction. This paper builds on existing concepts of Building Information Modeling (BIM), lean project production systems, automated data acquisition from construction sites and supply chains, and artificial intelligence to formulate a mode of construction that applies digital twin information systems to achieve closed loop control systems. It contributes a set of four core information and control concepts for digital twin construction (DTC), which define the dimensions of the conceptual space for the information used in DTC workflows. Working from the core concepts, we propose a DTC information system workflow—including information stores, information processing functions, and monitoring technologies—according to three concentric control workflow cycles. DTC should be viewed as a comprehensive mode of construction that prioritizes closing the control loops rather than an extension of BIM tools integrated with sensing and monitoring technologies.https://www.cambridge.org/core/product/identifier/S2632673620000167/type/journal_articleBuilding Information Modelingconstruction planning and controldata-centric constructiondigital twinlean construction |
| spellingShingle | Rafael Sacks Ioannis Brilakis Ergo Pikas Haiyan Sally Xie Mark Girolami Construction with digital twin information systems Data-Centric Engineering Building Information Modeling construction planning and control data-centric construction digital twin lean construction |
| title | Construction with digital twin information systems |
| title_full | Construction with digital twin information systems |
| title_fullStr | Construction with digital twin information systems |
| title_full_unstemmed | Construction with digital twin information systems |
| title_short | Construction with digital twin information systems |
| title_sort | construction with digital twin information systems |
| topic | Building Information Modeling construction planning and control data-centric construction digital twin lean construction |
| url | https://www.cambridge.org/core/product/identifier/S2632673620000167/type/journal_article |
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