Digital-Twin-Based Operation and Maintenance Management Method for Large Underground Spaces
Abstract
:1. Introduction
2. Research Progress
3. Methods
3.1. Research Framework
3.2. Building Operation and Maintenance Information Classification and Coding Methods
3.3. Data Collection and Processing
3.4. Digital Twin Building O&M Management Method Based on BIM
4. Case Verification
4.1. Project Case
4.2. BIM Model Creation
4.3. Digital Twin Operation and Maintenance Platform Functions and Application
5. Discussion
- (1)
- Effectiveness
- (2)
- Limitations
- (3)
- Prospects
6. Conclusions
- (1)
- In order to achieve the effective classification of building information, a classification and coding method for building O&M information is proposed;
- (2)
- In order to improve the deficiencies of traditional building operation and maintenance, a twin model for a set of theoretical methods of digital operation and maintenance is established by using digital twin model with a large underground space as the object, and it is used as the theoretical guidance for the operation and maintenance of large underground spaces;
- (3)
- Under the guidance of the theoretical method for the twin model of digital operation and maintenance, a detailed study on the application scenarios of the operation and maintenance of large underground spaces has been carried out, combining the proposed digital delivery method with engineering cases, detailing the platform functions and application processes, and demonstrating that the method can effectively improve the efficiency of operation and maintenance;
- (4)
- In the future, the classification and coding methods of building O&M information can be further improved and standardized while the O&M process can integrate cutting-edge Internet and AI technologies and apply digital twin technology to a wider scope, with the final accumulated O&M data serving as a data asset for future continuous operation.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Pankratova, N.; Haiko, H.; Savchenko, I. Historical Excursion and Modern Trends of Urban Underground Development. In Modeling the Underground Infrastructure of Urban Environments: A Systematic Approach; Springer: Berlin/Heidelberg, Germany, 2024; pp. 1–23. [Google Scholar]
- Broere, W. Urban underground space: Solving the problems of today’s cities. Tunn. Undergr. Space Technol. 2016, 55, 245–248. [Google Scholar]
- Schaumann, M.; Gamba, D.; Morales, H.G.; Corsini, R.; Guinchard, M.; Scislo, L.; Wenninger, J. The effect of ground motion on the LHC and HL-LHC beam orbit. Nuclear Instrum. Methods Phys. Res. Sect. A Accel. Spectrometers Detect. Assoc. Equip. 2023, 1055, 168495. [Google Scholar]
- Artus, M.; Koch, C. Retracted: Object-Oriented Damage Information Modeling Concepts and Implementation for Bridge Inspection. J. Comput. Civ. Eng. 2022, 36, 04022029. [Google Scholar]
- Cao, Y.; Kamaruzzaman, S.N.; Aziz, N.M. Building information modeling (BIM) capabilities in the operation and maintenance phase of green buildings: A systematic review. Buildings 2022, 12, 830. [Google Scholar] [CrossRef]
- Murti, C.K.; Muslim, F. Relationship between Functions, Drivers, Barriers, and Strategies of Building Information Modelling (BIM) and Sustainable Construction Criteria: Indonesia Construction Industry. Sustainability 2023, 15, 5526. [Google Scholar] [CrossRef]
- Gao, X.; Pishdad-Bozorgi, P. BIM-enabled facilities operation and maintenance: A review. Adv. Eng. Inform. 2019, 39, 227–247. [Google Scholar]
- Zhao, S.; Sun, H.; Huang, Z.; Li, N.; Guo, M.; Li, X. Research on Obstacle Factors of Project Operation and Maintenance Based on BIM Technology. In Advances in Simulation and Process Modelling, Proceedings of the Second International Symposium on Simulation and Process Modelling (ISSPM 2020), Shenyang, China, 29–30 August 2020; Springer: Singapore, 2021; pp. 159–168. [Google Scholar]
- Wei, D.; Li, B.; Wang, C.; Wei, L.; Zhang, L.; Yang, J. IBMS+ BIM+ FM technology based intelligent building operation and maintenance management system design solution. In Proceedings of the 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), Chongqing, China, 29–31 July 2022; SPIE: Bellingham, WA, USA, 2022; Volume 12451, pp. 1195–1204. [Google Scholar]
- Wang, L.; Li, W.; Feng, W.; Yang, R. Fire risk assessment for building operation and maintenance based on BIM technology. Build. Environ. 2021, 205, 108188. [Google Scholar]
- Liu, Y.; Lin, H.; Zhao, Z.; Bai, W.; Hu, N. Research on the Visualization of Railway Signal Operation and Maintenance Based on BIM+ GIS. Sensors 2023, 23, 5984. [Google Scholar] [CrossRef]
- Hosamo, H.H.; Imran, A.; Cardenas-Cartagena, J.; Svennevig, P.R.; Svidt, K.; Nielsen, H.K. A Review of the Digital Twin Technology in the AEC--FM Industry. Adv. Civ. Eng. 2022, 2022, 2185170. [Google Scholar]
- Mahmoud, M.; Chen, W.; Yang, Y.; Li, Y. Automated BIM generation for large-scale indoor complex environments based on deep learning. Autom. Constr. 2024, 162, 105376. [Google Scholar]
- Rodríguez-Alonso, C.; Pena-Regueiro, I.; García, Ó. Digital Twin Platform for Water Treatment Plants Using Microservices Architecture. Sensors 2024, 24, 1568. [Google Scholar] [CrossRef] [PubMed]
- Lu, Q.; Xie, X.; Parlikad, A.K.; Schooling, J.M. Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance. Autom. Constr. 2020, 118, 103277. [Google Scholar]
- Lu, Q.; Xie, X.; Heaton, J.; Parlikad, A.K. From BIM towards digital twin: Strategy and future development for smart asset management. In Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future; Springer: Berlin/Heidelberg, Germany, 2020; pp. 392–404. [Google Scholar]
- Jiao, Z.; Du, X.; Liu, Z.; Liu, L.; Sun, Z.; Shi, G. Sustainable Operation and Maintenance Modeling and Application of Building Infrastructures Combined with Digital Twin Framework. Sensors 2023, 23, 4182. [Google Scholar] [CrossRef]
- Li, C.; Lu, P.; Zhu, W.; Zhu, H.; Zhang, X. Intelligent Monitoring Platform and Application for Building Energy Using Information Based on Digital Twin. Energies 2023, 16, 6839. [Google Scholar] [CrossRef]
- Yu, G.; Lin, D.; Wang, Y.; Hu, M.; Sugumaran, V.; Chen, J. Digital Twin-enabled and Knowledge-driven decision support for tunnel electromechanical equipment maintenance. Tunn. Undergr. Space Technol. 2023, 140, 105318. [Google Scholar]
- Tao, F.; Li, W.; Zhang, M. Digital Twin Five G dimensional Model and Ten Domain Applications. Comput. Integr. Manuf. Syst. 2019, 25, 1G18. [Google Scholar]
- Liu, Z.; Shi, G.; Du, X.; Jiao, Z. Intelligent operation and maintenance theory system and realisation method based on digital twin. J. Civ. Environ. Eng. 2024, 46, 46–57. [Google Scholar]
- Liu, Z.; Sun, X.; Sun, Z.; Liu, L.; Meng, X. The Digital Twin Modeling Method of the National Sliding Center for Intelligent Security. Sustainability 2023, 15, 7409. [Google Scholar] [CrossRef]
- Eneyew, D.D.; Capretz, M.A.M.; Bitsuamlak, G.T. Toward smart-building digital twins: BIM and IoT data integration. IEEE Access 2022, 10, 130487–130506. [Google Scholar]
- Jacobson, C.E. Using AutoCAD for Descriptive Geometry Exercises in Undergraduate Structural Geology. Comput. Geosci. 2001, 27, 9–15. [Google Scholar]
- Jadid, M.N.; Idrees, M.M. Cost estimation of structural skeleton using an interactive automation algorithm: A conceptual approach. Autom. Constr. 2007, 16, 797–805. [Google Scholar]
- Zhao, Z.; Zhu, X. Automatic drawing technique for horizontal projection diagrams of exploration borehole deviations. Multimed. Tools Appl. 2019, 78, 1201–1218. [Google Scholar]
- Zheng, Y.; Shen, H.; Sun, C. Leveraging single-user AutoCAD for collaboration by transparent adaptation. In Proceedings of the IEEE 2009 13th International Conference on Computer Supported Cooperative Work in Design, Santiago, Chile, 22–24 April 2009; pp. 78–83. [Google Scholar]
- Yang, X.; Koehl, M.; Grussenmeyer, P. Parametric modelling of as-built beam framed structure in BIM environment. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2017, 42, 651–657. [Google Scholar]
- Yang, X.G.; Wang, J. Collaborative application of computer technology in interior design. Appl. Mech. Mater. 2014, 651, 2067–2070. [Google Scholar]
- Wang, D.; Lu, H. Development of a BIM Platform for the Design of Single-Story Steel Structure Factories. Buildings 2024, 14, 747. [Google Scholar] [CrossRef]
- Oti, A.H.; Tah JH, M.; Abanda, F.H. Integration of lessons learned knowledge in building information modeling. J. Constr. Eng. Manag. 2018, 144, 04018081. [Google Scholar]
- Li, M.; Xiong, X.; Yin, Q. Smart City Construction Visual Simulation Application Based on Intelligent BIM Technology. Int. J. Pattern Recognit. Artif. Intell. 2021, 35, 2155014. [Google Scholar]
- Cho, Y.H.; Yoo, B.H. A Study on the BasicDesign Education by the Structure Variables of Digital Modeling–Centered on Rhino 3D & CREO in the Design Education Course of Product Design. J. Digit. Des. 2014, 14, 591–604. [Google Scholar]
- Li, H. Visualizing Architectural Lighting: Creating and Reviewing Workflows Based on Virtual Reality Platforms. Ph.D. Thesis, University of Southern California, Los Angeles, CA, USA, 2017. [Google Scholar]
- Ramdhaniati, M.; Mulyanti, B. Lumion animation for digital learning: Is it applicable in both Industrial and educational contexts? IOP Conf. Ser. Mater. Sci. Eng. 2021, 1098, 022113. [Google Scholar]
- Staritcyna, A.; Pollock, E.; Sokolova, E.; Martynenko, E. Energy efficiency in multi-story buildings. MATEC Web Conf. 2016, 73, 02009. [Google Scholar]
- Luo, Y.; Ren, A.Z. Integration and Conversion of 3D Models from 3DS to OpenFlight. Appl. Mech. Mater. 2011, 88, 559–563. [Google Scholar]
- Yang, S.; Meng, J.F.; Shi, Z.X. Pro/ENGINEER and 3DS Max Combined with Virtools for Virtual Reality Application. Adv. Mater. Res. 2014, 852, 639–643. [Google Scholar]
- Amini, F.; Riche, N.H.; Lee, B.; Monroy-Hernandez, A.; Irani, P. Authoring data-driven videos with dataclips. IEEE Trans. Vis. Comput. Graph. 2016, 23, 501–510. [Google Scholar]
- Schrimpf, B.; Dalby, M.; Mülhaupt, M.; Michel, F.; Holschbach, A.; Schiefer, U.; Ungewiss, J. Interactive training using a smartphone video retinoscope: Video article. Ophthalmologe 2020, 117, 384–388. [Google Scholar]
- Qu, C.; Wang, D.; Liu, W.; Zhao, P. Design and Implementation of an Intelligent Operation and Maintenance Management Cloud Platform for Green Buildings Group. IOP Conf. Ser. Mater. Sci. Eng. 2019, 533, 012049. [Google Scholar]
- Yu, G.; Shi, L.; Wang, Y.; Xiong, J.; Jin, Y. A Collaborative Emergency Drill System for Urban Tunnels Using BIM and an Agent-Based Model. Sustainability 2023, 15, 13533. [Google Scholar] [CrossRef]
- Hsieh, P.C.; Hsieh, H.N.; Ho, M.C.; Lin, C.H.; Shiau, Y.C. Building Facility Management System Using Sensors and Digital Technologies. Sens. Mater. 2024, 36, 1251. [Google Scholar]
- Zhao, Y.; Wang, N.; Liu, Z.; Mu, E. Construction theory for a building intelligent operation and maintenance system based on digital twins and machine learning. Buildings 2022, 12, 87. [Google Scholar] [CrossRef]
Author | Brief Abstract | Advantages | Gaps | ||
---|---|---|---|---|---|
Optimization of O&M Processes | Basic O&M Theory | Classification and Coding Standards for Building O&M Information | Digitization of O&M Information | ||
Rodríguez-Alonso et al. [14] | Proposing a framework for a digital twin platform for O&M processes in wastewater treatment plants to optimize O&M processes | ○ | ○ | ○ | ○ |
Wang et al. [15] | Digital-twin-based sustainable building maintenance system framework to enhance information technology and automation management | ○ | ○ | ○ | ○ |
Lu et al. [16] | A DT system architecture designed for the building and city level, with an architecture that facilitates data interrogation and analysis. | ○ | ○ | ○ | ○ |
Jiao et al. [17] | Establishment of intelligent operation and maintenance architecture system and multi-dimensional and multi-scale twin model for large buildings, verifying the effectiveness of digital twin technology in enhancing the intelligence of operation and maintenance management | ○ | ○ | ○ | ○ |
Li et al. [18] | Based on digital twin technology, a building energy framework using intelligent monitoring was constructed, through which it was demonstrated, in practice, that 30 per cent of building energy savings could be achieved | ○ | ○ | ○ | ○ |
Yu et al. [19] | A conceptual framework of digital twins for proactive maintenance was proposed to demonstrate the effectiveness of fault prediction and condition prediction in practice in tunnelling. | ○ | ○ | ○ | ○ |
Building and Space Information | Operation and Maintenance Equipment Information |
---|---|
Building information | Power equipment |
Floor information | Lighting equipment |
Space information | Intelligent equipment |
Room information | Networking equipment |
Monitoring equipment | |
Measurement equipment | |
Switching equipment | |
Storage equipment |
Serial Number | Software Name | Releases | Software Usage | Software Features |
---|---|---|---|---|
1 | AutoCAD | 2022 | Drawing, viewing, editing | Intuitive user interface and ease of use [24], interoperability [25], automation [26], and community support [27] |
2 | Autodesk Revit | 2019 | Model creation, deepening and drawing | Parametric modeling [28], collaborative design [29], improved totalization efficiency and quality [30] |
3 | Navisworks Manage | 2019 | Crash detection | Model integration [31], visualization and analysis, 4D simulation [32] |
4 | Rhino | 7.0 | Deepening and drawing of circular arch-shaped structure of the hall | Strong modeling capabilities and compatibility [33] |
5 | Fuzor | 2020 | Construction Simulation (4D) | Compatibility, versatility, workflow [34] |
6 | Lumion | 10.0 | Effect rendering, roaming animation production | Material libraries [35], powerful environment simulation [36] |
7 | 3ds Max | 2022 | Rendering of renderings, construction animation | Strong modeling capability [37], efficient rendering [38] |
8 | Adobe After Effects | 2022 | Video effect processing | Strong visual effects and animation capabilities [39] |
9 | Adobe Premiere Pro | 2022 | Video clip output | Powerful video editing capabilities [40] |
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Share and Cite
Wang, H.; Yu, C.; Zheng, J.; Jia, Y.; Liu, Z.; Yang, K. Digital-Twin-Based Operation and Maintenance Management Method for Large Underground Spaces. Buildings 2024, 14, 2577. https://doi.org/10.3390/buildings14082577
Wang H, Yu C, Zheng J, Jia Y, Liu Z, Yang K. Digital-Twin-Based Operation and Maintenance Management Method for Large Underground Spaces. Buildings. 2024; 14(8):2577. https://doi.org/10.3390/buildings14082577
Chicago/Turabian StyleWang, Haitao, Caizhao Yu, Jiarong Zheng, Yihong Jia, Zhansheng Liu, and Kai Yang. 2024. "Digital-Twin-Based Operation and Maintenance Management Method for Large Underground Spaces" Buildings 14, no. 8: 2577. https://doi.org/10.3390/buildings14082577