Enabling Maritime Digitalization by Extreme-Scale Analytics, AI and Digital Twins (VesselAI)

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Budget
5 998 878 €
Partners
13
The EU-funded VesselAI project plans to develop a framework that facilitates the modelling and prediction of ships’ behaviour. Using digital twin technology, the framework will efficiently fuse and assimilate huge amounts of data, enabling highly accurate modelling as well as design and operation optimisation of ships and fleets under various dynamic conditions.

The digital twin concept – a virtual representation of a physical asset that can be used as a model for various purposes – is making waves in a range of industries. The shipping sector is no exception. The EU-funded VesselAI project plans to develop a framework that facilitates the modelling and prediction of ships’ behaviour. Using digital twin technology, the framework will efficiently fuse and assimilate huge amounts of data, enabling highly accurate modelling as well as design and operation optimisation of ships and fleets under various dynamic conditions. VesselAI will also tap into the potential of artificial intelligence, cloud computing and high-performance computing, encouraging deeper digitalisation in the shipping industry.

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.

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