The project is about big data analytics and AI algorithms for predicting the ship maintenance. It is motivated by the new European Commission strategy “Europe for Digital age”. Invar has the know-how of ship inspection process and management and owns a database of inspection data for 400 ships with more than 6000 data sets. Through the experiment, Invar will gain knowledge about AI applications.
These are pioneering studies since, to the current knowledge there is no similar research in the area, what makes this innovative system highly potential. Proposed system is beyond the state of the art since it is combining engineering approach, metrology policies and inspection efficiency.
Innovation level description: The existing ship inspection software that are mandatory to use are based on data about ship construction gained from Thickness measurements in that moment, but until now there is no solution that combine the actual with a historical data set for the same ship over the period of time in terms of predicting the ship maintenance requirements. Bearing in mind that ship maintenance and repairs are very expensive and that they need to be planned a lot ahead, our project will improve ship engineering and management processes, reduce ship operational costs and significantly improve safety on the sea.
The project partner that will provide AI and big data knowledge is Faculty of Electrical Engineering University of Sarajevo.
VIEW PROJECT PRESENTATION
EN 
CG 
ES 
