TwinShip Innovation 7
| 🔍 Innovation Spotlight | TwinShip Innovation 7: Data Quality Governance Strategy (DQGS) In the maritime sector, poor data quality can cost up to $300,000 per ship annually, a staggering loss driven by undetected or unresolved data anomalies. Current industry methods often fall short in identifying complex anomalies in extreme datasets and offer no path for recovery once errors are flagged. 🚢 TwinShip is setting a new course with its advanced DQGS framework, designed to not only detect but also correct anomalies across massive, high-velocity maritime datasets. 📊 The DQGS introduces: • Dual-layer Data Anomaly Detection Filters (DADF 1 & 2) • A structured Data Anomaly Knowledge Database • Intelligent Classification & Recovery Mechanisms • A powerful Data Anomaly Recovery Filter (DARF) These are supported by tools from previous EU projects and platforms, which simulate secure data pipeline deployments across heterogeneous systems. By addressing the 5Vs of data (Volume, Velocity, Variety, Veracity & Value), TwinShip’s DQGS ensures reliable, trusted data for better operational decisions and system resilience. 💡⚓ |
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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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TwinShip Innovation 5
| 🌊 TwinShip Innovation Spotlight #5: Decision Support System (DSS) with Simulation Environment ⚓ Maritime operations are evolving – and so must decision-making tools. Today’s DSSs rely heavily on first-principles models and historical data, which fall short when facing dynamic weather, environmental uncertainties, or emerging green technologies. 🌪️⚠️ 🔍 TwinShip’s Breakthrough? We’re integrating a Digital Twin (DT)-enabled DSS with a simulation environment to transform both onboard operations and strategic planning: 🚢 Onboard: Simulates near-future voyages using real-time data for energy-efficient routing, combining passive and active weather routing to reduce fuel use and emissions. 📊 Onshore: Merges Life Cycle Cost Analysis (LCCA) and Environmental Impact Assessment (EIA) with cutting-edge green fuel modeling—powered by the Vessel Data Cloud Space (VDCS). This dual-system approach supports shipowners with: ✅ Smarter voyage optimization ✅ Fuel cost reduction ✅ Informed retrofitting & green tech adoption ✅ Progress toward IMO decarbonization targets 🌱 TwinShip is redefining how decisions are made at sea — from operational efficiency to environmental impact. |
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TwinShip Horizon Europe Project was presented at the IMAM 2025 Conference
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Two conference papers under the TwinShip Horizon Europe Project were presented at the IMAM 2025 20th International Congress of the International Maritime Association of the Mediterranean At: Crete, Greece: Â
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The First General Assembly of the TwinShip Horizon Europe project - September 2025
| 🌍⚓ TwinShip’s Digital Journey toward a Greener Maritime Future! The 2nd of September 2025, we held the first General Assembly of the TwinShip Horizon Europe project (www.Twin-Ship.eu) at the National Technical University of Athens, Greece - marking a major step forward in advancing maritime digitalization for decarbonization. 🚢 The TwinShip consortium brings together leading maritime technology providers, shipping companies, classification societies, ports, software developers, and research institutions. Together, we’re building an open-source digital platform powered by data, advanced AI, and machine learning. At its core is a Digital Twin (DT)-enabled Decision Support System (DSS) that will: ✅ Support the industry’s digital transformation ✅ Accelerate decarbonization ✅ Drive adoption of clean fuels, renewable energy, and unmanned vessels With pilot vessels and a Futuristic Unmanned Vessel Concept, we’re charting the course for a sustainable, innovative, and resilient maritime sector. |
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