ENABLING MARITIME DIGITALIZATION BY EXTREME-SCALE ANALYTICS, AI AND DIGITAL TWINS

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ENABLING MARITIME DIGITALIZATION BY EXTREME-SCALE ANALYTICS, AI AND DIGITAL TWINS

Acronym

VesselAI

Project description

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.
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Starting year

2021

End year

2023

Granted funding

468 750 €
Participant
SINTEF AS (NO)
431 750 €
Participant
MARINTRAFIK OPEREISONS ANONYMI ETAIREIA PLIROFORIKIS (EL)
376 875 €
Participant
MONETDB SOLUTIONS B.V. (NL)
314 562 €
Participant
BULL SAS (FR)
798 260 €
Participant
KONGSBERG NORCONTROL AS (NO)
634 375 €
Participant
NAPA OY
430 000 €
Participant
SINTEF OCEAN AS (NO)
509 437 €
Participant
UNIVERSITY OF PIRAEUS RESEARCH CENTER (EL)
296 250 €
Participant
UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO (PT)
540 375 €
Participant
NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA (EL)
511 562 €
Coordinator
MASSTERLY AS (NO)
195 000 €
Participant

Amount granted

5 998 878 €

Funder

European Union

Funding instrument

Research and Innovation action

Framework programme

Horizon 2020 Framework Programme

Call

Programme part
INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) (H2020-EU.2.1.1.)
Topic
Big Data technologies and extreme-scale analytics (ICT-51-2020)
Call ID
H2020-ICT-2020-1

Other information

Funding decision number

957237