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Essential Elements
Understanding the critical elements of a digital twin is paramount because these elements determine its fidelity, utility, and long-term viability. A successful digital twin is not a static model but a dynamic, data-driven virtual representation that must accurately replicate, connect, and synchronize with its physical counterpart in real-time. This synchronization relies on mastering key elements such as robust, high-frequency sensor technology for dynamic data collection, reliable Industrial Internet of Things (IIoT) infrastructure for connectivity, and advanced simulation models for predictive analysis. The articles below discuss the essential elements of digital twins.
- Digital Manunfacturing: Requirements and Challenges for Implementing Digital Surrogates
- G. Shao and D. Kibira. (2018) "DIGITAL MANUFACTURING: REQUIREMENTS AND CHALLENGES FOR IMPLEMENTING DIGITAL SURROGATES," 2018 Winter Simulation Conference (WSC), Gothenburg, Sweden, 2018, pp. 1226-1237, doi: 10.1109/WSC.2018.8632242. https://ieeexplore.ieee.org/document/8632242
- A conceptual framework for the application of digital twin in the sustainable manufacturing process
- Shao, Guodong, Helu, Moneer. (2020). "Framework for a digital twin in manufacturing: Scope and requirements." Manufacturing Letters, Volume 24, 2020, Pages 105-107. https://doi.org/10.1016/j.mfglet.2020.04.004