VesselAI
Financiado
ENABLING MARITIME DIGITALIZATION BY EXTREME SCALE ANALYTICS AI AND DIGITAL TWIN...
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 pressu...
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.
ver más
Duración del proyecto: 41 meses
Fecha Inicio: 2020-07-28
Fecha Fin: 2023-12-31
Fecha Fin: 2023-12-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2023-12-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ICT-51-2020:
Big Data technologies and extreme-scale analytics
Cerrada
hace 4 años
Presupuesto
El presupuesto total del proyecto asciende a
6M€
Líder del proyecto
ETHNICON METSOVION POLYTECHNION
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
153.85K€ |
Participante
540.38K€ |
Participante