Digital Twins as a Platform: A Reference Architecture for Global R&D
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V7I1P102Keywords:
Digital Twin, IoT, Connected Products, HVAC, Water Heating, Simulation, Cloud Architecture, R&D Acceleration, Cybersecurity, Predictive Maintenance, Digital ManufacturingAbstract
Modern HVAC, water heating, and complex electromechanical systems are increasingly software-defined products operating inside distributed, multi-device ecosystems. However, global R&D workflows remain constrained by the limited availability of physical prototypes, fragmented telemetry models, region-specific SKUs, and long supply-chain cycles. These constraints delay firmware development, algorithm design, system optimization, compliance testing, and predictive analytics. This paper introduces Digital Twins as a Platform (DTaaP), a unified architecture that enables R&D teams across geographies to model, simulate, test, and optimize connected products long before hardware exists. By integrating canonical identity, metadata-driven equipment trees, component/system-level simulation engines, synthetic telemetry generators, and cloud-native pipeline orchestration, we demonstrate how manufacturers can shift from hardware-first to twin-first engineering. The proposed architecture accelerates R&D by 6–12 months, reduces late-stage defects by 30–40%, and standardizes intelligence across regional product lines. It positions digital twins not as project artifacts but as an enterprise-wide capability that harmonizes R&D, factory operations, predictive analytics, and global product strategy.
References
1. M. Grieves, "Digital Twin: Manufacturing Excellence through Virtual Factory Replication," 2015.
2. IEEE P2806, "Standard for System Architecture of Digital Representation for Physical Objects in Factory Environments," IEEE Standards, 2022.
3. A. Rasheed, O. San, and T. Kvamsdal, "Digital Twin: Values, Challenges, and Enablers," IEEE Access, vol. 8, pp. 21980–22012, 2020.
4. DOE, "Grid-Interactive Efficient Buildings Technical Report," U.S. Department of Energy, 2021.
5. S. Karnouskos, P. Leitao, L. Ribeiro, and A. W. Colombo, "Industrial Agents as a Key Enabler for Realizing Industrial Cyber-Physical Systems: Multiagent Systems Entering Industry 4.0," 2020.
6. F. Tao, H. Zhang, A. Liu, and A. Y. C. Nee, "Digital Twin in Industry: State-of-the-Art," IEEE Trans. Ind. Inform., vol. 15, no. 4, pp. 2405-2415, 2019.
7. E. J. Tuegel, A. R. Ingraffea, T. G. Eason, and S. M. Spottswood, "Reengineering Aircraft Structural Life Prediction Using a Digital Twin," Int. J. Aerosp. Eng., vol. 2011, Article ID 154798, 2011.
8. J. Lee, B. Bagheri, and H. A. Kao, "A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems," Manuf. Lett., vol. 3, pp. 18-23, 2015.
9. W. Kritzinger, M. Karner, G. Traar, J. Henjes, and W. Sihn, "Digital Twin in Manufacturing: A Categorical Literature Review and Classification," IFAC-PapersOnLine, vol. 51, no. 11, pp. 1016-1022, 2018.
10. M. Schluse and J. Rossmann, "From Simulation to Experimentable Digital Twins: Simulation-Based Development and Operation of Complex Technical Systems," in IEEE Int. Symp. Syst. Eng., 2016.
11. E. Negri, L. Fumagalli, and M. Macchi, "A Review of the Roles of Digital Twin in CPS-based Production Systems," Procedia Manuf., vol. 11, pp. 939-948, 2017.
12. Q. Qi, F. Tao, T. Hu, N. Anwer, A. Liu, Y. Wei, L. Wang, and A. Y. C. Nee, "Enabling Technologies and Tools for Digital Twin," J. Manuf. Syst., vol. 58, pp. 3-21, 2021.
13. B. R. Barricelli, E. Casiraghi, and D. Fogli, "A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications," IEEE Access, vol. 7, pp. 167653-167671, 2019.
14. F. Tao, Q. Qi, L. Wang, and A. Y. C. Nee, "Digital Twins and Cyber-Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison," Engineering, vol. 5, no. 4, pp. 653-661, 2019.
15. Y. Liu, L. Zhang, Y. Yang, L. Zhou, L. Ren, F. Wang, R. Liu, Z. Pang, and M. J. Deen, "A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin," IEEE Access, vol. 7, pp. 49088-49101, 2019.
16. M. W. Grieves and J. Vickers, "Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems," in Trans-Disciplinary Perspectives on Complex Systems, Springer, 2017, pp. 85-113.
17. J. Minerva, G. M. Lee, and N. Crespi, "Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models," Proc. IEEE, vol. 108, no. 10, pp. 1785-1824, 2020.
