Real-Time Vessel Performance Modeling for Dynamic Polar Updates
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Solution Overview
Problem
Existing methods for creating sailing polars are off-line, resulting in inaccurate predictions due to real-world variations in vessel performance, wear, and tear, and other factors, as they do not account for real-time changes during a voyage.
Innovation Solution
A computer-implemented method and apparatus that receives real-time performance inputs from sensors during a vessel's voyage to generate a dynamic performance model, predicting velocity made good and updating models continuously based on actual performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If off-line techniques are used to pre-generate polars based on expected vessel characteristics, then the polars can be created in advance, but they do not account for real-time changes in vessel performance during actual voyages
Solution Approach 1:
The patent transforms static, pre-generated polars into dynamic, real-time polars that continuously update during vessel voyages. Sensors capture real-time performance data (velocity made good, wind speed, wind angle, heading) and the system dynamically recalculates polars to reflect actual vessel conditions, accounting for wear and tear and environmental variations throughout the voyage
Solution Approach 2:
The system implements feedback by continuously monitoring actual vessel performance through sensors and using this data to update and refine polar predictions in real-time. The measured performance data feeds back into the polar calculation system, allowing the model to adapt to actual vessel behavior rather than relying on theoretical pre-generated values
2Adaptability or versatility
If manual plotting of polars is performed using available applications, then users can create custom polars, but the process is unduly burdensome and inconvenient
Solution Approach 1:
The system performs automatic polar generation and updating without requiring manual user intervention. Sensors automatically capture performance data, the processor automatically calculates and updates polars in real-time, eliminating the need for users to manually plot data or configure settings while still providing customized polars specific to each vessel's actual performance
3Ease of manufacture
If pre-recorded data is used to create polars, then the process is simplified, but the results do not reflect actual vessel performance due to real-world variations and wear and tear
Solution Approach 1:
The system changes the parameters used in polar generation from static, pre-recorded vessel characteristics to dynamic, real-time measured parameters. Instead of using fixed theoretical values, the system continuously updates polars using actual measured data from sensors including velocity made good, wind conditions, and vessel heading, allowing the parameters to adapt to real-world variations and vessel degradation
Data Source
AI summary
A computer implemented method, apparatus, and computer program product for real-time creation of vessel performance models. Performance inputs are received from a set of sensors during a voyage of a vessel. The performance inputs are data associated with a performance of the vessel during the voyage. A real-time performance model is generated during the voyage using a subset of the performance inputs. A predicted value for velocity made good is identified for the vessel using the real-time performance model.