Mission Deck Flight Planning With Real-Time Feasibility Indicators
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Solution Overview
Problem
Current flight planning systems are inadequate for business aviation as they require multiple iterations to adjust to changing mission criteria and do not optimize routes based on specific mission contexts, such as passenger comfort and weather, leading to increased workload for crews.
Innovation Solution
An aircraft mission computing system with a display and display management assembly that allows users to define operational specifications, activate a computing engine to determine feasible paths, and display mission feasibility indicators, enabling crews to easily assess and adjust flight plans according to various constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional flight planning systems operate by following preestablished airways and performing iterative adjustments, then the systems can provide flight plans based on standard navigation routes, but the crew workload increases and the systems cannot optimize routes based on specific mission contexts such as passenger comfort and weather
Solution Approach 1:
The computing engine automatically evaluates multiple path options against mission specifications without requiring crew intervention. The system self-adjusts by computing feasible paths that satisfy operational constraints, eliminating the need for manual iterative adjustments and reducing crew workload while improving adaptability to specific mission contexts
Solution Approach 2:
The system pre-computes multiple feasible paths and evaluates them against mission specifications before flight execution. By performing this optimization work in advance, the system eliminates the need for time-consuming manual adjustments during flight preparation, thereby reducing crew workload while providing customized route optimization
2Adaptability or versatility
If flight planning systems require multiple iterations to adjust to changing mission criteria, then the systems can accommodate varying operational specifications, but the time required for mission preparation increases
Solution Approach 1:
The computing engine pre-evaluates multiple path options against various mission specifications before flight execution. By performing this comprehensive evaluation in advance, the system accommodates changing mission criteria without requiring time-consuming manual iterations during flight preparation, thus reducing mission preparation time while maintaining adaptability
Solution Approach 2:
The system provides feedback indicators showing whether operational specifications are met for each computed path. This automated feedback mechanism eliminates the need for manual iterative adjustments, allowing the system to quickly adapt to changing mission criteria while significantly reducing the time required for mission preparation
3Adaptability or versatility
If existing systems operate by identifying airways and performing vertical optimization based only on airplane performance, then the systems can provide standardized flight plans, but the routes are not optimized based on mission context such as weather and passenger comfort
Solution Approach 1:
The computing engine serves multiple functions by simultaneously evaluating paths against diverse mission specifications including weather constraints, passenger comfort requirements, and airplane performance limits. This multi-functional approach enables comprehensive route optimization based on mission context without requiring separate specialized systems, thereby managing complexity while improving adaptability
Solution Approach 2:
The system segments the path evaluation process into distinct criteria (weather, comfort, performance) that are independently assessed. This segmentation allows the complex multi-criteria optimization to be managed through modular evaluation, enabling route optimization based on mission context while keeping system complexity manageable through structured processing
Data Source
AI summary
An aircraft mission computing system includes an aircraft mission path computing engine, and a mission deck comprising a display and a display management assembly configured for displaying, on the display, at least one button for defining an operational specification of the mission. The computing engine is configured to be activated after defining the choice of operational specification using the definition button to determine at least one possible path of the aircraft based on the or each choice of defined operational specification using the or each definition button. The display management assembly is configured to display, on the display, after the activation of the computing engine, at least one outcome indicator providing mission feasibility information while respecting the or each operational specification choice.