Descripción del proyecto
Una nueva plataforma para fomentar la digitalización del sector naval
El concepto de gemelo digital —la representación virtual de un activo físico que se emplea como modelo con diferentes fines— está causando una gran sensación en muchos sectores y el sector naval no es una excepción. Los investigadores del proyecto VesselAI, financiado con fondos europeos, se han propuesto desarrollar una estructura donde sea posible modelizar y predecir el comportamiento de los barcos. Gracias a la tecnología gemela digital, esta estructura podrá fusionar y asimilar eficazmente enormes cantidades de datos, lo que permitirá obtener una modelización de gran precisión, así como diseñar barcos y flotas, y optimizar su comportamiento bajo diferentes condiciones dinámicas. VesselAI también aprovechará el potencial de la inteligencia artificial, la computación en nube y la computación de alto rendimiento. Estas medidas profundizarán la digitalización en el sector de la navegación.
Objetivo
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.
Ámbito científico
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2020-1
Régimen de financiación
RIA - Research and Innovation actionCoordinador
157 80 ATHINA
Grecia