Mission-Specific Vessel Control Data Using AI Emission Prediction
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Solution Overview
Problem
Existing emission management systems for maritime vessels rely on historical data and static regulations, failing to account for dynamic factors influencing emissions during specific missions, leading to suboptimal emission management and limited optimization potential.
Innovation Solution
A method and system utilizing artificial intelligence (AI) to generate mission-specific emission prediction models based on historical and real-time data, calculating emission units, and providing control data to optimize vessel operations for reduced emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If historical data and static regulations are used for emission management, then implementation simplicity is maintained, but emission prediction accuracy and optimization potential deteriorate
Solution Approach 1:
The system transitions from static emission management regulations to dynamic AI-driven prediction models that adapt to real-time vessel operations, environmental conditions, and mission-specific parameters, thereby improving prediction accuracy while maintaining implementation feasibility through automated processing
Solution Approach 2:
The invention changes the parameters used for emission management from fixed regulatory limits to dynamic variables including weather conditions, vessel speed, route, cargo type, and real-time operational data, enabling more accurate and context-specific emission predictions
2Device complexity
If post-factum reporting systems are used, then system complexity is reduced, but proactive planning and optimization capabilities deteriorate
Solution Approach 1:
The system performs preliminary emission predictions and optimizations before vessel missions commence, allowing operators to plan routes, adjust speeds, and prepare strategies to minimize emissions in advance, rather than merely reporting after the fact
Solution Approach 2:
The invention implements continuous feedback loops where real-time operational data and actual emission measurements feed back into the AI models, enabling ongoing optimization and adjustment of vessel operations to improve emission efficiency throughout the mission
3Ease of operation
If static emission regulations are applied, then regulatory implementation is simplified, but adaptability to dynamic mission factors deteriorates
Solution Approach 1:
The AI-based system serves multiple functions simultaneously: it predicts emissions, optimizes routes, adjusts operational parameters, complies with varying regulations, and adapts to different vessel types and missions, thereby providing both ease of operation through automation and high adaptability to dynamic factors
Data Source
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AI summary
Disclosed is method for providing mission specific control data to a vessel (202). The method comprises obtaining data related to mission, wherein mission comprises one or more tasks; utilizing obtained data for generating emission prediction model for one or more tasks using artificial intelligence (AI) tool; calculating emission units for one or more tasks, wherein emission units are calculated based on at least one of: profile of each task from amongst one or more tasks, vessel profile, predicted environmental profile associated with each of one or more tasks, emission data obtained during one or more tasks; generating control data for one or more tasks, wherein control data is generated based on at least one of: generated emission prediction model, calculated emission units; and providing generated control data to vessel. Disclosed also is system to provide mission specific control data to vessel.