Carrier Path Prediction Using Multi-Source Vessel Data Fusion
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Solution Overview
Problem
Existing carrier path prediction systems rely on single sources of information, leading to incomplete, inconsistent, and inefficient data processing, which complicates the selection of suitable carrier vessels for cargo transportation.
Innovation Solution
A system and method that analyze vessel voyage information from multiple sources, identify common anchor points among initial partial paths, and resolve complete path scenarios to provide accurate and efficient carrier path predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single source of information is used for carrier path prediction, then system complexity is reduced, but data completeness and prediction accuracy deteriorate
Solution Approach 1:
The patent combines multiple information sources including AIS data, voyage data, port call information, and weather data into a unified prediction system. This merging of diverse data sources resolves the contradiction by maintaining data completeness while managing system complexity through integrated architecture.
Solution Approach 2:
The prediction system is designed to process multiple types of data from various sources simultaneously, making it a universal system that can handle different data formats and sources. This multi-functionality approach allows the system to maintain completeness without proportionally increasing complexity.
2Measurement precision
If multiple information sources are analyzed, then prediction accuracy improves, but data processing time increases
Solution Approach 1:
The system performs preliminary processing of information from multiple sources before final path prediction, pre-organizing and validating data in advance. This preliminary action reduces the time required for final prediction while maintaining the accuracy benefits of multi-source analysis.
Solution Approach 2:
The patent introduces an intermediary processing layer that mediates between multiple information sources and the final prediction system. This intermediary layer filters, validates, and standardizes data, reducing processing time while preserving prediction accuracy.
3Reliability
If comprehensive vessel information is processed, then carrier selection quality improves, but computational complexity increases
Solution Approach 1:
The patent segments the comprehensive vessel information processing into distinct modules: AIS data processing, voyage data processing, port call analysis, and weather condition evaluation. This segmentation maintains carrier selection quality by analyzing all factors while reducing computational complexity through modular architecture.
Data Source
AI summary
A method and system for managing carrier vessel information are provided. A carrier path and shipment planning system receives carrier information associated with individual carrier vessels from a plurality of carrier information sources. Based on the carrier information the carrier path and shipment planning system processes the carrier information to form complete path scenarios. The carrier path and shipment planning system associates control rules to the complete path scenarios to determine one or more candidate paths. The carrier path and shipment planning system can then generate various interfaces for identifying selected, ranked paths, information associated with a competitive marketplace and availability information for contracting for cargo shipment. A user can then further manipulate the user interfaces for scenario planning or filtering available selections.