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

Objective

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.

Field of science

  • /natural sciences/computer and information sciences/data science/big data

Call for proposal

H2020-ICT-2020-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA
Address
Heroon Polytechniou 9 Zographou Campus
15780 Athina
Greece
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 511 562,50

Participants (12)

MARINTRAFIK OPEREISONS ANONYMI ETAIREIA PLIROFORIKIS
Greece
EU contribution
€ 376 875
Address
Katechaki 75
11525 Athina
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
HELSINGIN YLIOPISTO
Finland
EU contribution
€ 468 750
Address
Yliopistonkatu 3
00014 Helsingin Yliopisto
Activity type
Higher or Secondary Education Establishments
MONETDB SOLUTIONS BV
Netherlands
EU contribution
€ 314 562,50
Address
Science Park 106 Gebouw Matrix Vii
1098 XG Amsterdam
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UNIVERSITY OF PIRAEUS RESEARCH CENTER
Greece
EU contribution
€ 296 250
Address
Gr. Lampraki 122
185 32 Piraeus
Activity type
Higher or Secondary Education Establishments
Teknologian tutkimuskeskus VTT Oy
Finland
EU contribution
€ 491 680
Address
Vuorimiehentie 3
02150 Espoo
Activity type
Research Organisations
SINTEF AS
Norway
EU contribution
€ 431 750
Address
Strindvegen 4
7034 Trondheim
Activity type
Research Organisations
NAPA OY
Finland
EU contribution
€ 430 000
Address
Tammasaarenkatu 3
00180 Helsinki
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
KONGSBERG NORCONTROL AS
Norway
EU contribution
€ 634 375
Address
Bromsveien 17
3183 Horten
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BULL SAS
France
EU contribution
€ 798 260
Address
Rue Jean Jaures 68
78340 Les Clayes Sous Bois
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO
Portugal
EU contribution
€ 540 375
Address
Campus Da Caparica Quinta Da Torre
2829-516 Caparica
Activity type
Research Organisations
MASSTERLY AS
Norway
EU contribution
€ 195 000
Address
Strandveien 20
1366 Lysaker
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SINTEF OCEAN AS
Norway
EU contribution
€ 509 437,50
Address
Otto Nielsens Veg 10
7052 Trondheim
Activity type
Other