New opportunities to enable real-time awareness of your fleet energy consumption and downsize of the crew overreporting
In traditional vessel performance modeling techniques, vessel data is collected through interfacing an on-board PC with the vessel automation and navigation systems, and custom sensors. Such integration provides access to high-frequency measurements of various quantities, like propulsion power, fuel mass flow, and speed through water (STW), directly applicable to vessel performance monitoring.
Wärtsilä Voyage explores how data can be processed by the on-board computer in real-time and turned into intelligent money-saving operational decisions.
Our speakers will share a proof-of-concept study with analysis and examples showing how easily modern machine learning-based approach overcomes problems, such as crew overreporting weather conditions and other inaccuracies, characteristic to a traditional fully noon-report reliant approach.