Smart City Gnosys
Smart city article details
| Title | Digital Entity Management Methodology For Digital Twin Implementation: Concept, Definition, And Examples |
|---|---|
| ID_Doc | 20002 |
| Authors | Lee Y.; Baek M.-S.; Yoon K. |
| Year | 2025 |
| Published | IEEE Transactions on Broadcasting, 71, 1 |
| DOI | http://dx.doi.org/10.1109/TBC.2024.3517138 |
| Abstract | Many efforts to achieve cost savings through simulations have been ongoing in the cyber-physical system (CPS) industry and manufacturing field. Recently, the concept of digital twins has emerged as a promising solution for cost reduction in various fields, such as smart cities, factory optimization, architecture, and manufacturing. Digital twins offer enormous potential by continuously monitoring and updating data to study a wide range of issues and improve products and processes. However, the practical implementation of digital twins presents significant challenges. Additionally, while various studies have introduced the concepts and roles of digital twin systems and digital components, further research is needed to explore efficient operation and management strategies. This paper aims to present digital entity management methodology for the efficient implementation of digital twin systems. Our proposed class-level digital entity management methodology constructs complex and repetitively used digital entities into digital entity classes. This approach facilitates the abstraction, inheritance, and upcasting of digital entity classes. By leveraging class-level management and easily reusable and modifiable digital entities, the implementation of low-complexity digital twin systems becomes feasible. The proposed methodology aims to streamline the digital twin implementation process, addressing complex technical integration and practical implementation challenges. © 2025 IEEE. All rights reserved. |
| Author Keywords | digital entity; digital transformation; Digital twin; physical world; virtual world |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
20183  | 0.908 | Ouedraogo E.B.; Hawbani A.; Wang X.; Liu Z.; Zhao L.; Al-Qaness M.A.A.; Alsamhi S.H. | Digital Twin Data Management: A Comprehensive Review | IEEE Transactions on Big Data (2025) |
| 14269 | 0.883 | Lee Y.; Kim S.; Yoon K. | Class Abstraction And Upcasting For Self-Evolving Digital Twin System | 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 (2023) |
| 20242 | 0.88 | Chaiburi C.; Yingngam B. | Digital Twin Technology Fundamentals | Digital Twins for Smart Cities and Villages (2024) |
| 4212 | 0.873 | Farid F.; Bello A.; Jahan N.; Sultana R. | A Review Of The Concept, Applications, Risks And Control Strategies For Digital Twin | Lecture Notes in Networks and Systems, 935 LNNS (2024) |
| 20315 | 0.873 | Shafik W. | Digital Twins Tools And Technologies | Digital Twins for Smart Cities and Villages (2024) |
| 20245 | 0.872 | Tyagi A.K.; Richa | Digital Twin Technology: Opportunities And Challenges For Smart Era'S Applications | ACM International Conference Proceeding Series (2023) |
| 1171 | 0.869 | Dalibor M.; Jansen N.; Rumpe B.; Schmalzing D.; Wachtmeister L.; Wimmer M.; Wortmann A. | A Cross-Domain Systematic Mapping Study On Software Engineering For Digital Twins | Journal of Systems and Software, 193 (2022) |
| 47145 | 0.869 | Vodyaho A.; Delhibabu R.; Ignatov D.I.; Zhukova N. | Run Time Dynamic Digital Twins And Dynamic Digital Twins Networks | Future Generation Computer Systems, 172 (2025) |
| 20301 | 0.866 | Shahzad M.; Shafiq M.T.; Douglas D.; Kassem M. | Digital Twins In Built Environments: An Investigation Of The Characteristics, Applications, And Challenges | Buildings, 12, 2 (2022) |
| 40380 | 0.866 | Kwon Y.-K. | Optimal Digital Twin Model-Based Cps (Cyber Physical System) Design For Smart Factory | International Conference on Control, Automation and Systems, 2022-November (2022) |