UAV Panoramic Collision Prediction for Ship Docking
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Solution Overview
Problem
Current ship docking processes rely on human judgment, leading to accidents due to unexpected intrusions by other ships or misjudged environmental obstacles, resulting in collisions or groundings.
Innovation Solution
A ship docking system utilizing an unmanned aerial vehicle (UAV) that captures panoramic images and transmits them to a computing device for collision prediction analysis, providing real-time collision warnings to the ship's crew through a display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human judgment is used for ship docking, then operational flexibility is maintained, but collision risk increases due to unexpected intrusions and misjudged obstacles
Solution Approach 1:
The patent introduces an unmanned aerial vehicle as an intermediary between the ship and the environment. The UAV captures panoramic images of the docking environment, serving as a mediator that provides comprehensive visual information to the computing device for collision prediction, thereby reducing the harmful effects of human judgment limitations while maintaining operational flexibility
Solution Approach 2:
The patent replaces the mechanical system of human visual judgment and manual operation with an automated system consisting of UAV-based image capture, computing device-based panoramic image analysis, and collision prediction algorithms. This substitution eliminates human error in judgment while maintaining the ability to respond to dynamic environmental changes
2Reliability
If automated collision prediction system is implemented, then docking safety improves, but system complexity increases due to additional UAV and computing infrastructure
Solution Approach 1:
The patent designs the unmanned aerial vehicle to perform multiple functions: it serves as both the platform for capturing panoramic images and the mobile computing unit for processing those images. The computing device also handles multiple tasks including receiving images, generating panoramic views, and performing collision predictions. This multi-functionality reduces the number of separate components needed, thereby reducing overall system complexity while maintaining improved docking safety
Data Source
AI summary
A ship docking system and a ship docking method are provided. The ship docking system includes a computing device, an unmanned aerial vehicle communicating wirelessly with the computing device and pre-docked on a charging platform, and a display device communicating wirelessly with the computing device. When the computing device determines that the ship is performing a port entry operation, the computing device controls the unmanned aerial vehicle to move to a preset height above the ship and to obtain a panoramic image of the ship. The unmanned aerial vehicle transmits the panoramic image to the computing device, so that the computing device analyzes the panoramic image to perform a collision prediction of the ship, and transmits a collision prediction result to the display device.