Digital twin modeling method based on IFC standards for building construction processes

Intelligent construction is a necessary way to improve the traditional construction method, and digital twin can be a crucial technology to promote intelligent construction. However, the construction field currently needs a unified method to build a standardized and universally applicable digital tw...

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Main Authors: Chengyuan Dai, Ke Cheng, Bangxun Liang, Xinyi Zhang, Qizhou Liu, Zengqin Kuang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1334192/full
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author Chengyuan Dai
Chengyuan Dai
Ke Cheng
Bangxun Liang
Xinyi Zhang
Qizhou Liu
Zengqin Kuang
author_facet Chengyuan Dai
Chengyuan Dai
Ke Cheng
Bangxun Liang
Xinyi Zhang
Qizhou Liu
Zengqin Kuang
author_sort Chengyuan Dai
collection DOAJ
description Intelligent construction is a necessary way to improve the traditional construction method, and digital twin can be a crucial technology to promote intelligent construction. However, the construction field currently needs a unified method to build a standardized and universally applicable digital twin model, which is incredibly challenging in construction. Therefore, this paper proposes a general method to construct a digital twin construction process model based on the Industry Foundation Classes (IFC) standard, aiming to realize real-time monitoring, control, and visualization management of the construction site. The method constructs a digital twin fusion model from three levels: geometric model, resource model, and behavioral model by establishing an IFC semantic model of the construction process, storing the fusion model data and the construction site data into a database, and completing the dynamic interaction of the twin data in the database. At the same time, the digital twin platform is developed to realize the visualization and control of the construction site. Combined with practical cases and analysis, the implementation effect of the method is shown and verified. The results show that the method can adapt itself to different scenarios on the construction site, which is conducive to promoting application of the digital twin in the field of construction and provides a reference to the research of practicing digital twin theory and practice.
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spelling doaj.art-895fea0bc7614311882865f52638d5092024-01-23T12:28:04ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-01-011210.3389/fenrg.2024.13341921334192Digital twin modeling method based on IFC standards for building construction processesChengyuan Dai0Chengyuan Dai1Ke Cheng2Bangxun Liang3Xinyi Zhang4Qizhou Liu5Zengqin Kuang6School of Civil Engineering, Guilin University of Technology, Guilin, ChinaGuangxi Key Laboratory of Green Building Materials and Construction Industrialization, Guilin University of Technology, Guilin, ChinaSchool of Civil Engineering, Guilin University of Technology, Guilin, ChinaChina Water Resources Pearl River Planning, Surveying and Designing Co., Ltd., Guangzhou, Guangdong, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing, ChinaSchool of Civil Engineering, Guilin University of Technology, Guilin, ChinaGuilin Guolida Construction and Installation Engineering Co., Ltd., Guilin, ChinaIntelligent construction is a necessary way to improve the traditional construction method, and digital twin can be a crucial technology to promote intelligent construction. However, the construction field currently needs a unified method to build a standardized and universally applicable digital twin model, which is incredibly challenging in construction. Therefore, this paper proposes a general method to construct a digital twin construction process model based on the Industry Foundation Classes (IFC) standard, aiming to realize real-time monitoring, control, and visualization management of the construction site. The method constructs a digital twin fusion model from three levels: geometric model, resource model, and behavioral model by establishing an IFC semantic model of the construction process, storing the fusion model data and the construction site data into a database, and completing the dynamic interaction of the twin data in the database. At the same time, the digital twin platform is developed to realize the visualization and control of the construction site. Combined with practical cases and analysis, the implementation effect of the method is shown and verified. The results show that the method can adapt itself to different scenarios on the construction site, which is conducive to promoting application of the digital twin in the field of construction and provides a reference to the research of practicing digital twin theory and practice.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1334192/fulldigital twinbuilding information model (BIM)industry foundation classes (IFC)construction processdatabase
spellingShingle Chengyuan Dai
Chengyuan Dai
Ke Cheng
Bangxun Liang
Xinyi Zhang
Qizhou Liu
Zengqin Kuang
Digital twin modeling method based on IFC standards for building construction processes
Frontiers in Energy Research
digital twin
building information model (BIM)
industry foundation classes (IFC)
construction process
database
title Digital twin modeling method based on IFC standards for building construction processes
title_full Digital twin modeling method based on IFC standards for building construction processes
title_fullStr Digital twin modeling method based on IFC standards for building construction processes
title_full_unstemmed Digital twin modeling method based on IFC standards for building construction processes
title_short Digital twin modeling method based on IFC standards for building construction processes
title_sort digital twin modeling method based on ifc standards for building construction processes
topic digital twin
building information model (BIM)
industry foundation classes (IFC)
construction process
database
url https://www.frontiersin.org/articles/10.3389/fenrg.2024.1334192/full
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