Dynamic Ship Route Planning for Real-Time Collision Avoidance
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Solution Overview
Problem
Existing navigation systems for ships fail to effectively adapt to changing oceanographic conditions and unexpected obstacles, leading to a need for real-time assistance in navigating to avoid collisions.
Innovation Solution
A navigation planning system that includes modules for acquiring planned routes, movable body and obstacle information, calculating collision risk, and setting evasion routes when necessary, using sensors and satellite data to adjust ship paths in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed planned route is used for navigation, then route planning simplicity is improved, but collision risk increases when obstacles or changing oceanographic conditions appear
Solution Approach 1:
The navigation system dynamically adjusts the planned route based on real-time obstacle detection and oceanographic condition monitoring. The route is no longer fixed but adapts continuously to changing environmental factors, resolving the contradiction between route planning simplicity and collision avoidance capability
Solution Approach 2:
The system implements feedback loops where sensor data from obstacle detection devices and oceanographic sensors continuously inform route adjustments. This closed-loop control enables the system to maintain simplicity while improving reliability through real-time responses to detected hazards
2Reliability
If real-time obstacle detection and route adjustment systems are implemented, then collision avoidance capability is improved, but system complexity increases
Solution Approach 1:
The navigation system integrates multiple functions into a unified platform: obstacle detection, oceanographic monitoring, collision risk calculation, and route adjustment all operate within a single integrated system. This multi-functionality improves collision avoidance while managing overall system complexity through consolidation
Solution Approach 2:
The system performs self-adjustment of navigation routes based on automated obstacle detection and risk assessment. The autonomous route modification capability reduces the need for complex manual intervention systems while maintaining high collision avoidance capability
3Measurement precision
If multiple sensor modules are used for acquiring obstacle information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Multiple sensor modules for obstacle detection are merged into an integrated detection system that processes information centrally. This combination maintains high measurement precision through multiple data sources while reducing overall complexity through unified processing architecture
Data Source
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Figure 2B
AI summary
A navigation planning system (1) is provided. The system configured to acquire a planned route indicating a navigation planning route of a movable body (200) on a water, acquire movable body information including a position, a moving direction, and a speed of the movable body, and acquire obstacle information including a position, a moving direction, and a speed of a plurality of obstacles located in a surrounding area of the movable body (200). Further, the system calculates a collision risk value indicating a risk level of collision between the movable body and an obstacle from the plurality of obstacles based on the movable body information and the obstacle information, and determines a necessity of evasion based on comparing the collision risk value with a threshold value. Finally, the system is configured to set an evasion route different from the planned route when the necessity of the evasion is determined.