HPC-Based Vessel Predictive Maintenance Optimization Through Natural Language Assistance
Presentation of the problem and objective of the experiment
FIGAL Innova and SREC Solutions developed a system to monitor and assist vessel’s crew and operators for the predictive maintenance of the ship machinery all along their working period and conditions: when to make a maintenance operation in which machinery and what to do. The partners update the system to optimize crew effort using Natural Language Understanding, an Artificial Intelligence technology that enables the interaction between people and machines using predefined commands in human language.
Short description of the experiment
MARINE WORDS targets to experiment with advanced HPC services to train the Natural Language Understanding algorithm for assisting marine transportation predictive and preventive maintenance processes in multiple languages, with specific jargon and in noisy environments. The final aim of using this application is to cut vessel’s operating expenses of predictive maintenance in an efficient manner, all along their working period and conditions: in port, navigating in the sea, with connectivity, and periods without connectivity.
MARINE WORDS is experimenting with the training of SREC Solutions’ Natural Language Understanding solution to apply to maritime transportation maintenance, with the support of FIGAL Innova’s knowledge, and CESGA’s HPC infrastructure and technical assistance.
End User: FIGAL INNOVA S.L.
ISV: SREC Solutions S.L.
HPC Provider: CESGA
Partner CESGA is part of the NCC Spain.