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Financement de l’UE (5 998 878 €) : PERMETTRE LA NUMÉRISATION MARITIME GRÂCE À L’ANALYTIQUE À GRANDE ÉCHELLE, À L’IA ET AUX JUMEAUX NUMÉRIQUES Hor07/08/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
PERMETTRE LA NUMÉRISATION MARITIME GRÂCE À L’ANALYTIQUE À GRANDE ÉCHELLE, À L’IA ET AUX JUMEAUX NUMÉRIQUES
Shipping is the lifeblood of global economy, consequently one of the leading sources of greenhouse gases and one of the high-incident domains, due to heavy traffic especially in congested waters, therefore facing escalating pressure for safety, energy efficiency improvement and emissions reduction. Meanwhile, shipping generates extremely large amount of data in every minute, which potential, however, still remains untapped due to the involvement of enormous stakeholders and the sophistication of modern vessel design and operation. To address these challenges, VesselAI aims to develop, validate and demonstrate a unique framework to unlock the potential of extreme-scale data and advanced HPC, AI and Digital Twin technologies, and hence to promote the adoption and application of Big Data-driven innovations and solutions in maritime industry and beyond. By combining Digital Twin technologies and practices, VesselAI can efficiently fuse and assimilate huge amount of data, coming from both observations and simulations, to achieve highly accurate modelling, estimation and optimization of design and operation of ships and fleets under various dynamic conditions in near real time. Their technical enhancements and practical performance improvements are further demonstrated in 4 maritime industry pilots, tackling practical challenges for 1) global vessel traffic monitoring and management, 2) globally optimal ship energy system design, 3) short-sea autonomous shipping and 4) global fleet intelligence. VesselAI brings in a consortium of renowned actors in maritime and ICT domains, providing a perfect mix of high-level expertise in both domains and readily accessibility to huge amount of data for industry-leading research and innovation in the project. Together, VesselAI addresses the challenges of implementing extreme-scale analytics in industries and showcase how AI, cloud computing and HPC can encourage, and enable deeper digitalization in the maritime and wider industries.
| Bull SAS | 798 260 € |
| Ethnicon Metsovion Polytechnion | 511 563 € |
| HELSINGIN YLIOPISTO | 468 750 € |
| Kongsberg Norcontrol AS | 634 375 € |
| Marintrafik Opereisons Monoprosopi ΑΕ Pliroforikis | 376 875 € |
| Massterly AS | 195 000 € |
| MONETDB SOLUTIONS B.V. | 314 563 € |
| NAPA Oy | 430 000 € |
| Sintef AS | 431 750 € |
| Sintef Ocean AS | 509 438 € |
| TEKNOLOGIAN TUTKIMUSKESKUS VTT Oy | 491 680 € |
| Uninova-Instituto de Desenvolvimento de Novas Tecnologias-Associação | 540 375 € |
| University OF Piraeus Research Center | 296 250 € |
https://cordis.europa.eu/project/id/957237
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.