D-NAVIO

Description

D-NAVIO is an advanced digital twin project that aims to develop a next-generation digital “clone of ships”
through an Intelligent Digital Twin (IDT) system. Integrating explainable Artificial Intelligence (XAI) and self-healing technologies, the project aligns with the global mission to enhance maritime safety, protect property,
improve environmental efficiency, and facilitate the transition to autonomous ships by incorporating interdisciplinary knowledge from automation, aviation, and the space industry.

D-NAVIO’s approach enables real-time monitoring and analytics through two pilot use cases: 1) COLUMBIA’s
large passenger/cruise ship, and 2) DANAOS Shipping’s large cargo/container ship. These pilots will identify missing requirements and propose advanced methods for forecasting, preventing, and managing faults, failures, and hazards throughout a ship’s operational phase.

Through its multi-pillar approach, D-NAVIO goes beyond the state-of-the-art to offer specific and tangible, cutting-edge innovations: i) D-NAVIO XDTLib: An Extensible Digital Twins Library for Waterborne Systems, ii) D-NAVIO HYDRA: A Hybrid and Adaptive Risk Assessment Framework, iii) D-NAVIO Failures Reporting System: A “memory of failures” system, iv) D-NAVIO Cybersecurity Assessment Toolkit, v) DYNAMO: Dynamic Cloning for Maritime Applications, and 6) Analysis of Reliability Regimes for critical systems.

D-NAVIO’s innovative solutions, grounded in interdisciplinary collaboration and input from shipyards, shipbuilders, system designers, maritime engineers, equipment manufacturers, IT experts, operators, class societies, and regulators, will establish a smart platform that revolutionizes risk assessment and hazard management. This will not only enhance safety during design, construction, and sea trials but will also ensure operational resilience and cost-effectiveness throughout the life cycle of large ships.