Aircraft Flight Plan Data Validation for Automatic Updates
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Solution Overview
Problem
The existing process of updating aeronautical data for flight plans is time-consuming and inefficient, often requiring manual correction through human intervention, which can lead to delays and inaccuracies.
Innovation Solution
A system and method utilizing a control unit connected to various flight information sources, including tracking, weather, and historical databases, to automatically validate and update flight plans based on pilot inputs, leveraging artificial intelligence or machine learning for efficient and accurate data correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual correction process is used to update flight plans, then human review and validation can be performed, but the process becomes time-consuming and delays updates
Solution Approach 1:
The system enables automatic self-validation and self-correction of flight plans through AI and machine learning algorithms. The control unit automatically validates issues, compares data with flight information sources, and updates flight plans without requiring continuous human intervention, thus reducing update time while maintaining reliability through automated validation processes
Solution Approach 2:
The patent replaces the manual mechanical process of human review and correction with an automated electronic system using AI and machine learning. The control unit electronically validates issues and updates flight plans automatically, substituting the manual mechanical correction process with an automated intelligent system that reduces time while maintaining or improving validation accuracy
2Productivity
If automated validation and update system is implemented, then update speed increases, but system complexity increases
Solution Approach 1:
The control unit is designed as a multi-functional system that performs issue validation, data comparison, flight plan updating, and aircraft control functions. By consolidating multiple functions into a single automated system, the patent achieves high update speed while managing complexity through integrated design rather than separate complex subsystems
Solution Approach 2:
The patent introduces AI and machine learning algorithms as intermediaries between raw data and flight plan updates. These intelligent intermediaries automatically process and validate information, reducing the complexity of direct human-system interaction while enabling rapid automated updates through intelligent mediation
3Device complexity
If manual correction process is used, then system simplicity is maintained, but update accuracy decreases due to delays
Solution Approach 1:
The system implements automated feedback loops where the control unit continuously validates flight plan issues, compares current data with flight information sources, and updates flight plans in real-time. This automated feedback mechanism ensures high data accuracy by immediately correcting discrepancies without the delays inherent in manual processes, while maintaining manageable system complexity through structured feedback protocols
Data Source
AI summary
A system and method include a communication device, and a control unit is communication with the communication device. The control unit is configured to receive, via the communication device, an issue signal including information regarding an issue in relation to a flight plan for an aircraft, compare the issue with data from one or more flight information sources to automatically validate the issue, and, in response to the issue being automatically validated, automatically update the flight plan based on the issue to provide an updated flight plan.