Aircraft Flight Plan Alteration Aid System
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Solution Overview
Problem
Current aircraft piloting systems require manual and mental efforts from pilots to interpret and apply air traffic control instructions, leading to errors and inefficiencies, as they do not fully automate the process of altering flight plans in response to changing conditions.
Innovation Solution
A method and device that acquire and process instructions to alter the flight plan, determining compatible applicability moments based on aircraft capabilities and constraints, calculating optimal operational parameters, and selecting the best moment for implementation, thereby reducing pilot intervention and error risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the pilot manually interprets and applies air traffic control instructions to alter the flight plan, then the pilot maintains control and understanding of the flight operations, but this manual process increases the risk of errors and reduces efficiency
Solution Approach 1:
The system performs self-service by automatically determining applicability periods and optimal applicability moments for ATC instructions without requiring pilot intervention. The processor autonomously analyzes flight plan constraints, aircraft capabilities, and instruction compatibility to generate altered flight plans and select optimal application timing, thereby eliminating manual interpretation errors while reducing pilot workload.
Solution Approach 2:
The system acts as an intermediary between the ATC instruction receiver and the flight plan executor. It processes ATC instructions through multiple analytical stages (compatibility verification, applicability period determination, optimal moment selection) before presenting the final altered flight plan to the pilot, serving as a mediating layer that enhances reliability while simplifying pilot interaction.
2Productivity
If the system fully automates the processing of ATC instructions and selection of applicability moments, then pilot error is reduced and efficiency increases, but the complexity of the piloting system increases
Solution Approach 1:
The complex processing task is segmented into distinct functional modules: ATC instruction acquisition, compatibility verification with flight plan constraints, applicability period determination, altered flight plan generation, and optimal applicability moment selection. This modular segmentation manages system complexity by organizing functions into discrete, manageable components while maintaining high processing efficiency through automated execution of each segment.
Solution Approach 2:
The system performs preliminary actions by pre-determining applicability periods and optimal applicability moments before the pilot needs to make decisions. It proactively analyzes multiple potential application scenarios, evaluates their compatibility with flight plan constraints and aircraft capabilities, and prepares optimized flight plan alternatives in advance, thereby increasing productivity while containing complexity through structured pre-processing.
3Measurement precision
If the system calculates multiple altered flight plans with different operational parameters, then the optimal applicability moment can be selected based on multiple criteria, but this increases the computational complexity and time required
Solution Approach 1:
The system varies operational parameters (altitude, speed, waypoint timing) across multiple altered flight plan scenarios to evaluate different applicability moments. By systematically changing these parameters and assessing their impact on flight plan constraints and aircraft capabilities, the system achieves precise optimization while managing calculation time through structured parameter exploration rather than exhaustive analysis.
Data Source
AI summary
An aid method for piloting an aircraft including acquiring an instruction intended to alter the flight plan, determining an applicability period of the instruction made up of a plurality of applicability moments of the instruction in which the application of the instruction is compatible with the operational capabilities of the aircraft and with the constraints of the flight plan, for each applicability moment of the instruction, determining an altered flight plan in case of application of the instruction at this applicability moment and calculating values of the operational parameters associated with this flight plan, and selecting an optimal applicability moment based on values of the operational parameters associated with the altered flight plan and operational parameters associated with the current flight plan.