Ship Collision Risk Calculation with Adaptive Sensor Selection
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Solution Overview
Problem
Conventional navigation aid devices for ships lack the ability to accurately calculate collision risks and provide flexible avoidance routes, as they rely on sensors that may not be installed on all ships, and do not integrate sensor data to derive situational avoidance strategies.
Innovation Solution
A method and device that calculate an available velocity area and velocity obstacle area based on maneuvering performance, identify installed sensors, and use preset weights to determine collision risks and derive avoidance routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors (RADAR, AIS, ENC, GPS) are used to observe ship movements and determine collision risk, then measurement precision is improved, but device complexity increases and not all ships have such sensors installed
Solution Approach 1:
The system performs collision risk calculation using only the subset of sensors that are actually installed on the ship, rather than requiring all ideal sensors. The processor identifies which sensors are present and uses only those for data collection and risk assessment, making the system adaptable to different ship configurations while maintaining functionality
Solution Approach 2:
The navigation aid device is designed to work with multiple types of sensors (RADAR, AIS, ENC, GPS, camera) and can adaptively use whichever combination is available. The system provides universal collision risk assessment capability across different ship types and sensor configurations
2Device complexity
If conventional navigation devices only display recognized objects on screen, then device complexity is reduced, but information utility deteriorates as drivers must independently plan navigation and collision avoidance
Solution Approach 1:
The system automatically performs navigation planning and collision avoidance route determination without requiring the driver to independently analyze the data. The processor calculates collision risk and generates avoidance routes autonomously based on sensor data and ship maneuvering performance, making the system self-serve the navigation decision-making process
Solution Approach 2:
The system provides active feedback to the driver by calculating and presenting collision risk assessments and recommended avoidance routes. Rather than just displaying raw sensor data, the system processes information and feeds back actionable navigation guidance to improve driver decision-making
3Reliability
If avoidance routes are determined strictly according to International Regulations for Preventing Collisions at Sea, then reliability is improved, but adaptability deteriorates as flexible situation-dependent routes cannot be derived
Solution Approach 1:
The system dynamically determines avoidance routes by considering both the International Regulations and the specific maneuvering performance characteristics of the host ship. The processor calculates available velocity areas based on the ship's actual capabilities and generates adaptive avoidance routes that comply with regulations while being tailored to the specific situation and vessel characteristics
Data Source
AI summary
A method of calculating a collision risk of a ship according to an embodiment of the present disclosure may include: calculating an available velocity area based on maneuvering performance of a host ship; calculating a velocity obstacle area where there is a possibility of collision between an object and the host ship; and calculating a collision risk based on at least one of the available velocity area, the velocity obstacle area, and a preset weight.