Autonomous Vessel Control Using Distributed Wind Disturbance Data
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Solution Overview
Problem
Existing vessel control systems are unable to provide precise control due to slow wind disturbance compensation, as they only consider wind measurements at the current vessel position, neglecting wind direction and speed variations at other positions.
Innovation Solution
An autonomous control system that acquires disturbance data from multiple sources, including anemometers on piers, trailers, other vessels, aerial drones, underwater drones, and satellite images, to correct vessel control based on wind speed, direction, and tide information, ensuring precise navigation and berthing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wind measurements are taken only at the current vessel position, then the measurement system is simple, but the control precision is insufficient due to slow wind disturbance compensation
Solution Approach 1:
The patent combines multiple disturbance data sources including anemometers on the vessel, anemometers on piers, and meteorological data into a unified disturbance information system. This merging of multiple measurement sources provides comprehensive wind and tide disturbance data from various positions, resolving the contradiction by achieving high measurement precision through data integration while managing system complexity through coordinated operation of multiple components
Solution Approach 2:
The patent segments the disturbance measurement system into multiple spatially distributed anemometers positioned at different locations (vessel, pier, shore). Each anemometer independently measures local disturbance conditions, and the data is integrated to provide comprehensive compensation. This segmentation allows precise local measurements to be combined into accurate overall control decisions
2Measurement precision
If disturbance data from multiple sources is acquired, then the control precision is improved, but the information processing complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where disturbance data from multiple sources is continuously acquired, processed to determine compensation forces, and applied to vessel control. The system continuously monitors the vessel position and adjusts control based on real-time disturbance information from anemometers and meteorological sources, creating a closed-loop control system that improves precision while managing processing complexity through iterative refinement
Solution Approach 2:
The patent performs preliminary processing of disturbance data by pre-calculating compensation forces based on acquired disturbance information before actual control execution. Meteorological data and anemometer readings are processed in advance to determine expected disturbance patterns, allowing the control system to prepare compensation actions ahead of time, thus improving response precision while reducing real-time processing complexity
Data Source
AI summary
An autonomous control system and method for a vessel are provided. The autonomous control system includes a route setting unit, setting a route to a destination; a disturbance data acquisition unit, acquiring disturbance data from sources other than the vessel; an autonomous control unit, performing a control of the vessel based on the route set by the route setting unit and corrects the control of the vessel based on the disturbance data acquired by the disturbance data acquisition unit.