My Digital Sibling
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The document discusses the concept of digital twins, highlighting the challenges they face in commercial, cultural, and technological contexts, including high development costs and the need for accurate real-time data capture. It outlines the maturity spectrum of digital twins and emphasizes that high fidelity is not always necessary for their effectiveness. Furthermore, it advocates for treating data as a strategic asset within defense projects throughout their lifecycle.
My Digital Sibling
- 1. My Digital Sibling Andy Fawkes FIMechE IT2EC 2022 London 28 April 2022
- 3. Outline •Some Personal Context •Digital Twin Challenges •Digital Twin Fidelity 3
- 8. Disposal
- 9. Training & Operational Analysis
- 10. Temporal Context – The UK “SeBA Wheel” Simulation Based Acquisition: The Ground Truth, 2002 Lt Cdr Monty Long RN, Mr Steve Gale Dstl Synthetic Environment Based Acquisition
- 11. ITEC 2018
- 13. Metaverse!
- 16. Challenges - Commercial, Cultural and Technological • Commercial (eg. multi-stakeholder ecosystems) • Cultural (eg. complex cross-silo collaboration) • Technical • Accurate Capturing of Physical Properties Digital twin technology should be able to model both simple objects and complex systems by accurately capturing their physical properties. • Project Collaboration Digital twin technology should be able to collaborate and connect with other digital twins in a variety of contexts. • Automatic Updates in Real-Time It should be self- informed of its functionality in real-time and change or alter when required. • Conflict Detection and Resolving It should be able to detect and react to changes in a real-time environment. • Interaction with Digital and Physical Entities It can communicate with other virtual objects or digital twins in an immersive manner.
- 17. Challenges - Cost #1 USAF Next Generation (6th) Air Dominance (NGAD) aircraft • USAF Arnold Engineering Development Complex research estimated the cost to develop and sustain a robust digital thread/digital twin models would be in excess of $1 trillion. • These very high costs were attributed to the required computational power required, software costs, and the training of the workforce.
- 18. Challenges - Cost #2 “Destination Earth” • A joint project between the number of European scientific organisations to develop a highly accurate digital twin of Earth. • Researchers have estimated it will require a supercomputer with 20,000 graphics processors consuming 20MW of power.
- 19. Challenges - Terminology - Digital Twin Wikipedia “a virtual representation that serves as the real-time digital counterpart of a physical object or process”. Arup “the combination of a computational model and a real-world system, designed to monitor, control and optimise its functionality. Through data and feedback, both simulated and real, a digital twin can develop capacities for autonomy and to learn from and reason about its environment.” Wright, Louise & Davidson, Stuart. (2020) - characterised by: • a model of the object, • an evolving set of data relating to the object, • a means of dynamically updating or adjusting the model in accordance with the data, and • being associated with an entity that actually exists (a digital twin without a physical twin is a model) What is a DigitalTwin before the real counterpart is built?
- 22. Fidelity “the degree to which a copy of something shows the true character of the original” Do we always need to have the highest fidelity digital twin models and data?
- 23. The Ages of a Digital Twin?
- 24. IET Digital Twin Maturity Spectrum Maturity element (Logarithmic scale of complexity & connectedness) Defining principle Outline usage 0 Reality Capture As built survey 1 2D map/system or 3D model Design/asset optimisation and coordination 2 Connect model to persistent (static) data Design/asset management 3 Enrich with real-time data (e.g. IoT, sensors) Operational efficiency 4 Two-way data integration and interaction Remote and immersive operations 5 Autonomous operations and maintenance Complete self- governance with total oversight and transparency 17 Oct 2019
- 25. UK CADMID Acquisition Cycle Concept Assessment Demonstration Manufacture In-Service Disposal
- 26. Example Mapping Digital Twin Maturity Against Life Cycle Legacy System 2 3 2 New System 1 2 3 4 5 2
- 28. UK MoD’s Digital Strategy (2021) • Defence will value Data as a strategic asset • Data is catalogued, accessible, useable
- 30. Tools are Already Out There
- 31. In Summary • Language can be confusing so it is important not to lose sight of the vision • Digital Twins do not always need the highest Fidelity to be useful – an imperfect model through life is better than a perfect model in the moment • Data should be treated as a strategic asset across Defence and through the life of projects 31