Ship Route Recalculation with Crew-Defined Safety Constraints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing ship trajectory planning systems fail to balance time and energy optimality with safety considerations, leading to routes that may not align with crew preferences or ship capabilities, thereby reducing user trust in automated systems.
Innovation Solution
A method and system that allow users to modify ship routes via a user interface, incorporating user inputs and predefined ship properties to recalibrate the route, ensuring alignment with both system and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If automated trajectory planning optimizes for time and energy efficiency, then fuel efficiency is improved, but safety margins and crew preferences may be compromised
Solution Approach 1:
The system implements feedback by allowing crew members to provide input on the automated route proposal through a user interface. The system then recalculates the route incorporating both automated optimization and human feedback, creating a closed-loop control system that balances energy efficiency with safety and crew preferences.
Solution Approach 2:
The routing system transitions from a static automated decision-making process to a dynamic collaborative process. The system can adapt its route calculations in real-time based on crew input, adjusting the balance between energy optimization and safety considerations during the planning phase.
2Productivity
If automated systems make navigation decisions, then operational efficiency is improved, but user trust and acceptance decrease
Solution Approach 1:
The user interface acts as an intermediary between the automated trajectory planning system and the crew. It allows crew members to review, provide feedback on, and influence the automated route proposals, maintaining their sense of control and trust while still leveraging automated optimization capabilities.
Solution Approach 2:
The system incorporates feedback loops where crew input on route proposals is captured and used to recalculate optimal routes. This feedback mechanism demonstrates that the system values and responds to human expertise, thereby building trust while maintaining operational efficiency.
3Reliability
If crew members manually adjust waypoints to force route through preferred locations, then safety preferences are improved, but route optimization based on ship properties deteriorates
Solution Approach 1:
The system performs preliminary automated route optimization based on ship properties and constraints before presenting to the crew. This preliminary action establishes an energy-efficient baseline that is then refined through crew feedback, rather than starting with manual waypoint adjustments that compromise optimization.
Solution Approach 2:
The system dynamically adjusts route parameters by recalculating the entire trajectory when crew feedback is received, rather than making localized manual adjustments. This ensures that safety preferences are incorporated while maintaining overall route optimization based on ship properties like turning radius and acceleration capabilities.
Data Source
Figure 1~3
AI summary
The present disclosure relates to modifying a ship route, comprising: at a user interface, presenting a map (2) comprising a proposed future route (1a) for a ship (3); via the user interface, receiving input from a user, the input including at least one request for modifying a route property of the presented route and/or at least one request for modifying a predefined constraint on a ship property among a plurality of predefined constraints on ship properties; at a processing device, recalculating the proposed route based on the received request(s) and on the predefined constraints on ship properties; and, at the user interface, presenting the recalculated route (1b) on the map.