Descrizione del progetto
Nuova piattaforma per promuovere la digitalizzazione nel settore delle spedizioni
Il concetto di gemello digitale, ovvero una rappresentazione virtuale di un bene fisico che può essere utilizzato come modello per vari scopi, sta creando ripercussioni in svariati settori industriali. Il settore delle spedizioni non fa eccezione. Il progetto VesselAI, finanziato dall’UE, prevede di sviluppare un quadro che faciliti la modellizzazione e la previsione del comportamento delle navi. Utilizzando la tecnologia del gemello digitale,questo quadro fonderà e assimilerà in modo efficiente enormi quantità di dati, consentendo una modellizzazione estremamente precisa nonché l’ottimizzazione della progettazione e del funzionamento di navi e flotte in varie condizioni dinamiche. VesselAI sfrutterà anche le potenzialità dell’intelligenza artificiale, del cloud computing e del calcolo ad alte prestazioni, incoraggiando una più profonda digitalizzazione nel settore navale.
Obiettivo
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.
Campo scientifico
Parole chiave
Programma(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
157 80 ATHINA
Grecia