Ship Propulsion,
Predicted Before Departure
A research tool for ship propulsion analysis, covering power prediction, sea trial management, live weather and ocean data, vessel traffic monitoring, and propulsion performance tracking. Developed at Abo Akademi University in collaboration with Meyer Turku.

Everything in One Dashboard
From raw vessel parameters to actionable performance insights
Power Prediction
Enter speed, draft, wind, current, and wave data to get an instant shaft power estimate in kW from the trained XGBoost model.
Sea Trial Dashboard
Log and analyse sea trial results. Compare predicted vs actual speed, power, fuel, and RPM. Track contract compliance and auto-fill predicted power with one click using the ML model.
Live Weather & Ocean Data
Real-time marine weather feed covering wind speed and direction, wave height, ocean current, and sea surface temperature for the vessel's current position.
Interactive Vessel Map
Live map showing vessel positions with vessel type markers. Click any vessel to see details and jump straight into a power prediction for its current conditions.
Prediction History
Every prediction is stored and linked to your account. Review past runs, compare inputs and results, and track how power demand changes across different voyage conditions.
Propulsion Monitoring
View live propulsion readings including shaft RPM, torque, thrust, and power across time series charts and comparison views.
How It Works
A purpose-built stack from model training to production UI
The ML Model
The Tech Stack
Abo Akademi University
PropelSense was developed at Abo Akademi University as an applied research project in collaboration with Meyer Turku. The goal was to turn real shipyard operational data into a practical tool that engineers and analysts can use during sea trials and voyage planning.
