Ship Track Data Display for Collision Risk Identification
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Solution Overview
Problem
Existing ship track data visualization techniques struggle to accurately determine risky collision scenarios and avoidance behaviors between ships, as they often display numerous line segments at small time intervals, making it difficult to identify specific instances of close proximity and potential collisions.
Innovation Solution
A ship track data display program that extracts particular ship track data for ships within a predetermined range, identifies local minimum distance points between ship tracks, and associatively displays point data of ships at these points to highlight potential collision risks and avoidance behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positions of ships are connected with line segments at a small time interval, then the visualization shows detailed ship movements, but it becomes difficult to determine whether ships make avoidance behavior due to excessive number of line segments
Solution Approach 1:
The patent extracts only the critical moments when ships are in close proximity (within a predetermined distance) and displays line segments only for these specific time points. This selective extraction eliminates the overwhelming number of line segments while preserving the essential information needed to determine avoidance behavior.
Solution Approach 2:
The patent applies different display qualities to different time intervals: for normal intervals, no line segments are displayed, but for critical intervals when ships are in close proximity, line segments are displayed with emphasis. This local differentiation allows easy identification of avoidance behavior without the clutter of continuous line segments.
2Device complexity
If positions of ships are connected with line segments at a large time interval, then the number of line segments is reduced, but positions at critical moments when collision risk is high may be unconnected
Solution Approach 1:
The patent dynamically adjusts the time interval for displaying line segments based on the operational context. Instead of using a fixed large interval, the system intensively samples and displays line segments only when ships enter a close-proximity state, thereby capturing critical moments while maintaining overall simplicity.
Solution Approach 2:
The patent changes the sampling parameter (time interval) adaptively: for most of the time, a large interval is used to reduce complexity, but when the distance between ships falls within a predetermined range, the interval switches to a small value to capture critical proximity events with high precision.
3Loss of information
If many line segments are displayed at small time intervals to show detailed ship positions, then the visualization is detailed, but work to extract risky cases becomes cumbersome
Solution Approach 1:
The patent extracts and displays only the information relevant to collision risk assessment by filtering ship position data to show line segments exclusively when ships are within a predetermined distance. This selective extraction eliminates irrelevant data while preserving all critical information about risky interactions.
Solution Approach 2:
Instead of displaying line segments for all time points (excessive action), the patent displays line segments only for the partial set of critical moments when ships are in close proximity. This partial action approach provides sufficient information for extracting risky cases without the burden of processing and analyzing excessive data.
Data Source
AI summary
A non-transitory computer-readable recording medium stores a ship track data display program that causes a computer to execute a process including: first extracting particular ship track data for a set of particular ships with a relative distance therebetween being within a predetermined range, from ship track data for a plurality of ships; second extracting a place where a distance between ship tracks thereof is at a local minimum, from the particular ship track data; and associatively displaying, for the place, point data of a ship that previously arrives at the place, in the set of particular ships, and point data of another ship at a point of time when the ship that previously arrives at the place arrives at the place.