TwinShip Innovation 6
| 🚢 Innovation Spotlight: TwinShip’s Innovation 6 – DT Model Development Rules 🔧 Toward Standardized & Scalable Digital Twin (DT) Solutions in Maritime In today’s maritime digital transformation, Digital Twin (DT) development often leans heavily on either first principles modeling or data-driven neural networks, rarely both. This fragmented approach limits scalability and hinders reliability. ⚓ TwinShip is changing that. Innovation 6 introduces a unified set of DT model development rules, blending the best of both worlds. These rules will guide: ✅ Data clustering & classification ✅ Regression technique selection ✅ Integration of high-level knowledge graphs & semantic structures 🔍 A Data Quality Governance Strategy (DQGS) ensures accuracy and reliability, while decentralized autoencoders help build local models that feed into a multi-model adaptive estimation (MMAE) architecture, enabling full-scale DT representation of vessels as systems of systems (SoS). This framework is backed by advanced DSS integration and leverages insights from past EU projects and recognized ontologies, laying the groundwork for standardized DT and ML/AI applications across the maritime sector. 💡 Setting the rules. Powering the future. |
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