A Fuzzy Logic-Based Method for Risk Assessment and Early Warning of Collision During Ship Entry and Exit

By using a fuzzy logic-based approach, combined with data acquired from AIS and radar systems, the risk of ship collisions is calculated and assessed. This solves the problem that existing technologies cannot fully reflect collision hazards, and achieves intelligent, quantitative, and real-time risk assessment, which is suitable for close-range operations between DP shuttle tankers and offshore floating platforms.

CN122310262APending Publication Date: 2026-06-30SUN YAT SEN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUN YAT SEN UNIV
Filing Date
2026-04-14
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing ship collision risk assessment methods cannot fully reflect the collision risk level between DP shuttle tankers and offshore floating platforms during close-range operations. They lack consideration of DP system status and environmental conditions, leading to frequent false alarms or omissions, and are difficult to provide comprehensive quantitative indicators.

Method used

A fuzzy logic-based approach is adopted to acquire ship and environmental data through AIS and radar systems, calculate collision hazard assessment factors, use a five-level Gaussian membership function for Mamdani fuzzy inference, assign differentiated weights, calculate a comprehensive collision risk score, and dynamically generate early warning information.

Benefits of technology

It enables intelligent, quantitative, and real-time assessment of ship collision risks, comprehensively considering kinematics, DP system status, and environmental conditions, reducing the risk of misjudgment, and is suitable for close-range operations between DP shuttle tankers and offshore floating platforms.

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Abstract

This invention discloses a method for assessing and warning of collision risks in ship berthing and outgoing operations based on fuzzy logic, comprising: S1, acquiring motion state parameters, dynamic positioning system status data, and current environmental data of the ship and the target ship or offshore platform; S2, calculating collision hazard assessment factors; S3, performing fuzzy reasoning on each collision hazard assessment factor using a five-level Gaussian membership function system, and outputting a risk score through fuzzification, rule-based reasoning, implication truncation, and aggregation, and finally defuzzifying using the centroid method; S4, assigning differentiated weight coefficients to the risk scores and calculating a comprehensive collision risk score; S5, determining the risk level of the comprehensive collision risk score based on a preset grading threshold, and dynamically generating warning information and operational suggestions based on the comparison results of the real-time values ​​of each collision hazard assessment factor and the corresponding warning threshold. This invention integrates multiple factors such as kinematic parameters, dynamic positioning system status, and environmental conditions for ship collision risk assessment and warning.
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