journal article Open Access Mar 01, 2024

A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability

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References
49
[1]
Akanmu "Towards next generation cyber-physical systems and digital twins for construction" J. Inf. Technol. Construct. (2021)
[2]
Alizadehsalehi "Digital twin-based progress monitoring management model through reality capture to extended reality technologies (DRX)" Smart and Sustainable Built Environment (2023) 10.1108/sasbe-01-2021-0016
[3]
Alonso "SPHERE: BIM digital twin platform" Multidisciplinary Digital Publishing Institute Proceedings (2019)
[4]
ARUP (2019)
[5]
Towards a semantic Construction Digital Twin: Directions for future research

Calin Boje, Annie Guerriero, Sylvain Kubicki et al.

Automation in Construction 2020 10.1016/j.autcon.2020.103179
[6]
Brunone "From cognitive buildings to digital twin: the frontier of digitalization for the management of the built environment, wood additive technologies: application of" Active Design Optioneering (2021)
[7]
Coupry "BIM-Based digital twin and XR devices to improve maintenance procedures in smart buildings: a literature review" Appl. Sci. (2021) 10.3390/app11156810
[8]
Deng "A systematic review of a digital twin city: a new pattern of urban governance toward smart cities" Journal of Management Science and Engineering (2021) 10.1016/j.jmse.2021.03.003
[9]
Deria "An audio-based digital twin framework for transportation construction" Proceedings of the Conference CIB W (2021)
[10]
Douglas (2021)
[11]
El Jazzar "Digital twin in construction: an empirical analysis, EG-ICE 2020 workshop on intelligent computing in engineering" Proceedings (2020)
[12]
Forth (2023)
[13]
Götz "Exploring applicability, interoperability and integrability of Blockchain-based digital twins for asset life cycle management" Smart and Sustainable Built Environment (2020) 10.1108/sasbe-08-2020-0115
[14]
Harode (2023)
[15]
Hasan "Augmented reality and digital twin system for interaction with construction machinery" J. Asian Architect. Build Eng. (2022) 10.1080/13467581.2020.1869557
[16]
Word2Vec Model Analysis for Semantic Similarities in English Words

Derry Jatnika, Moch Arif Bijaksana, Arie Ardiyanti Suryani

Procedia Computer Science 2019 10.1016/j.procs.2019.08.153
[17]
Jiang "Digital twin and its implementations in the civil engineering sector" Autom. ConStruct. (2021) 10.1016/j.autcon.2021.103838
[18]
Jin "Developing a methodological framework for adopting digitalization for deconstruction planning" (2021)
[19]
Kaewunruen "Digital twin for sustainability evaluation of railway station buildings" Frontiers in Built Environment (2018) 10.3389/fbuil.2018.00077
[20]
Khajavi "Digital twin: vision, benefits, boundaries, and creation for buildings" IEEE Access (2019) 10.1109/access.2019.2946515
[21]
Kirwan "The post-occupancy digital twin: a quantitative report on data standardisation and dynamic building performance evaluation" International Journal of Digital Innovation in the Built Environment (IJDIBE) (2020)
[22]
Latifah (2021)
[23]
Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing

Jay Lee, Moslem Azamfar, Jaskaran Singh et al.

IET Collaborative Intelligent Manufacturing 2020 10.1049/iet-cim.2020.0009
[24]
Lee "High-level implementable methods for automated building code compliance checking" Developments in the Built Environment (2023) 10.1016/j.dibe.2023.100174
[25]
A Survey of DevOps Concepts and Challenges

Leonardo Leite, Carla Rocha, Fabio Kon et al.

ACM Computing Surveys 2019 10.1145/3359981
[26]
Li "Sustainable business model based on digital twin platform network: the inspiration from Haier's case study in China" Sustainability (2020) 10.3390/su12030936
[27]
Lu "Developing a dynamic digital twin at a building level: using Cambridge campus as case study" (2019)
[28]
Lu "Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance" Autom. ConStruct. (2020) 10.1016/j.autcon.2020.103277
[29]
Lu "Developing a digital twin at building and city levels: case study of West Cambridge campus" J. Manag. Eng. (2020)
[30]
Lu "From BIM towards digital twin: strategy and future development for smart asset management, service oriented, holonic and multi-agent manufacturing systems for industry of the future" Proceedings of SOHOMA (2020)
[31]
Menassa "From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry" J. Inf. Technol. Construct. (2021)
[32]
Nasaruddin "Digital twin approach to building information management" (2018)
[33]
Nie "Digital twin-based smart building management and control framework" DEStech Trans. Comput. Sci. Eng (2019) 10.12783/dtcse/icaic2019/29395
[34]
Opoku "Digital twin application in the construction industry: a literature review" J. Build. Eng. (2021)
[35]
Ottinger "Digital twin: the Age of Aquarius in construction and real estate" J. Inf. Technol. (2021)
[36]
Ozturk "Digital twin research in the AECO-FM industry" J. Build. Eng. (2021)
[37]
Özturk (2021)
[38]
Pal (2023)
[39]
A BIM-data mining integrated digital twin framework for advanced project management

Yue Pan, Limao Zhang

Automation in Construction 2021 10.1016/j.autcon.2021.103564
[40]
Sacks (2018)
[41]
Construction with digital twin information systems

Rafael Sacks, Ioannis Brilakis, Ergo Pikas et al.

Data-Centric Engineering 2020 10.1017/dce.2020.16
[42]
Building Information Modelling, Artificial Intelligence and Construction Tech

Rafael Sacks, Mark Girolami, Ioannis Brilakis

Developments in the Built Environment 2020 10.1016/j.dibe.2020.100011
[43]
Seghezzi "Towards an occupancy-oriented digital twin for facility management: test campaign and sensors assessment" Appl. Sci. (2021) 10.3390/app11073108
[44]
Shahinmoghadam "Review of BIM-centred IoT deployment–state of the art, opportunities, and challenges" (2019)
[45]
Shirowzhan (2020)
[46]
Tagliabue "Leveraging digital twin for sustainability assessment of an educational building" Sustainability (2021) 10.3390/su13020480
[47]
Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

Thumeera R. Wanasinghe, Leah Wroblewski, Bui K. Petersen et al.

IEEE Access 2020 10.1109/access.2020.2998723
[48]
Xie "Opportunities and challenges of digital twin applications in modular integrated construction" (2020)
[49]
Zaballos "A smart campus' digital twin for sustainable comfort monitoring" Sustainability (2020) 10.3390/su12219196
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Citations
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References
Details
Published
Mar 01, 2024
Vol/Issue
17
Pages
100309
License
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Funding
National Research Foundation of Korea
Ministry of Science, ICT and Future Planning Award: 2020R1A5A1018153
Korea Institute of Civil Engineering and Building Technology
National Retail Federation
Cite This Article
Tae Wook Kang, Yunjeong Mo (2024). A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability. Developments in the Built Environment, 17, 100309. https://doi.org/10.1016/j.dibe.2023.100309
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