Flight Plan Revision Aid Using Avionics Segmentation
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Solution Overview
Problem
Current methods for managing aircraft flight plan revisions are limited in optimizing operational costs, safety, and reliability, and lack efficient decision-making support for pilots and air traffic control, particularly in integrating non-avionics and avionics systems effectively.
Innovation Solution
A method that utilizes both avionics and non-avionics systems to determine, assess, and combine flight plan revisions, allowing for quantification of their impact and optimization, leveraging combinatorial optimization and learning techniques to minimize risk and development costs while ensuring compatibility with certified flight management systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flight plan revisions are determined and assessed using both avionics and non-avionics systems, then decision-making quality is improved, but system complexity increases
Solution Approach 1:
The system is divided into two distinct components: an avionics system for certified flight management and a non-avionics system for optimization calculations. This segmentation allows each subsystem to specialize in specific functions, improving overall decision-making quality while managing complexity through clear functional boundaries.
Solution Approach 2:
A communication interface acts as an intermediary between the non-avionics optimization system and the avionics certified system. This intermediary enables data exchange and coordination without requiring direct integration, thus improving decision-making through combined capabilities while avoiding the complexity of deep system integration.
2Productivity
If combinatorial optimization and learning steps are implemented, then flight plan optimization is improved, but computational resource consumption increases
Solution Approach 1:
Combinatorial optimization and learning steps are performed in advance during flight plan preparation and revision assessment, before actual flight execution. This preliminary action allows complex computational tasks to be completed when computational resources are more readily available, improving optimization quality while managing resource consumption during critical flight phases.
3Productivity
If revisions are proposed by non-avionics system, then operational cost optimization is improved, but compatibility risk with certified F.M.S. system increases
Solution Approach 1:
The communication interface serves as an intermediary that translates and validates revision proposals from the non-avionics system into formats compatible with the certified F.M.S. system. This intermediary layer enables cost optimization from the non-avionics system while ensuring reliability through compatibility validation before submissions to air traffic control.
4Measurement precision
If critical avionics resources are used for decision-making aid, then calculation accuracy is improved, but development cost increases
Solution Approach 1:
The system segments computational tasks between non-avionics optimization (performed by general-purpose systems) and avionics certified calculations (performed by critical systems). This segmentation allows accurate certified calculations to be used only when necessary for final validation and submission, reducing development costs compared to implementing full decision-making capabilities in certified avionics software.
Data Source
AI summary
A method is provided for managing the revising of a flight plan of an aircraft implemented by at least two systems, one being of avionics type (qualified, certified) and the other not. From a flight plan, flight plan revisions are determined, even assessed, then one or more of these revisions are selected and/or combined. Subsequently, these combinations are processed by the avionics system and the corresponding avionics parameters are calculated. By comparing the different results of avionics quality, the impact of each revision can be quantified then rendered to the pilot to assist in his or her decision-making, in particular with regard to negotiating the revisions with air traffic control. Combinatorial optimization and learning steps are described, as are system and software aspects.