Project description
Ship safety and reliability with intelligent digital twins
As maritime transport evolves, so do the risks. Complex, high-value vessels face mounting safety, environmental, and efficiency challenges, particularly as the sector moves towards automation. With this in mind, the EU-funded D-NAVIO project is developing a new kind of digital twin for ships: an Intelligent Digital Twin. Drawing on expertise from aviation, space, and automation, D-NAVIO combines explainable AI and self-healing tech to forecast and prevent failures. Tested on both a cruise ship and a container vessel, its tools include a digital twin library, a ‘memory of failures’ system, and advanced risk assessment models. By merging cutting-edge science with real-world insight, D-NAVIO aims to redefine safety, reliability, and sustainability at sea.
Objective
                                D-NAVIO (meaning Digital-Ship) 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, D-NAVIO focuses on large, complex vessels. 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 “System-of-Systems” 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: 1) D-NAVIO XDTLib: An Extensible Digital Twins Library for Waterborne Systems, 2) D-NAVIO HYDRA: A Hybrid and Adaptive Risk Assessment Framework, 3) D-NAVIO Failures Reporting System: A “memory of failures” system, 4) D-NAVIO Cybersecurity Assessment Toolkit, 5) 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.
                            
                                Fields of science (EuroSciVoc)
                                                                                                            
                                            
                                            
                                                CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See:   The European Science Vocabulary.
                                                
                                            
                                        
                                                                                                
                            
                                                                                                CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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                                Keywords
                                
                                    
                                    
                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                  HORIZON.2.5 - Climate, Energy and Mobility
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                  HORIZON.2.5.7 - Clean, Safe and Accessible Transport and Mobility
                                    
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                  HORIZON.2.5.8 - Smart Mobility
                                    
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                  HORIZON.2.5.6 - Industrial Competitiveness in Transport
                                    
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                  Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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HORIZON-RIA - HORIZON Research and Innovation Actions
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(opens in new window) HORIZON-CL5-2024-D6-01
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157 72 ATHINA
Greece
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