Dynamic Flight Operation Optimization Using Avionics Data
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Solution Overview
Problem
Current methods for identifying alternative flight paths to avoid weather hazards are prone to errors due to manual intervention by air traffic controllers and do not account for the dynamic nature of flight safety hazards, potentially leading to inefficient and unsafe flight operations.
Innovation Solution
A flight operation recommendation system that detects flight safety hazards, obtains avionics parameters, and uses a trained model to generate and apply flight operation recommendations, accounting for the dynamic nature of hazards and improving efficiency in modifying flight paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual intervention by air traffic controllers is used to identify alternative flight paths, then human judgment and flexibility are applied, but accuracy and reliability are reduced due to errors and subjectivity
Solution Approach 1:
The patent replaces manual mechanical processes (air traffic controller judgment) with an automated machine learning system that processes weather data and generates flight path recommendations algorithmically, eliminating human error while maintaining operational flexibility through the AI model's adaptive decision-making
Solution Approach 2:
The system enables self-service by automatically detecting flight safety hazards, analyzing weather data, and generating alternative flight path recommendations without requiring manual intervention from air traffic controllers, allowing the system to serve itself through automated AI-driven processes
2Device complexity
If static flight path planning is used, then simplicity is maintained, but adaptability to dynamic weather hazards is insufficient
Solution Approach 1:
The patent implements dynamics by transitioning from static flight path planning to dynamic adaptive planning, where the system continuously monitors weather conditions and automatically adjusts flight paths in real-time to account for changing hazard locations and characteristics
Solution Approach 2:
The system applies preliminary action by proactively detecting flight safety hazards before they affect the aircraft, analyzing weather data in advance, and pre-calculating alternative flight paths so that when hazards materialize, the system can immediately execute predetermined safe routing options
3Productivity
If manual flight path modification is used, then procedural simplicity is maintained, but efficiency and responsiveness to hazards are reduced
Solution Approach 1:
The patent ensures continuity of useful action by maintaining constant automated monitoring of weather conditions and flight paths, enabling the system to respond continuously without interruption to changing conditions, thereby eliminating response delays associated with manual reporting and processing
Solution Approach 2:
The system replaces manual mechanical processes with automated machine learning algorithms that instantly analyze weather data and generate flight path recommendations in real-time, dramatically increasing the speed and efficiency of hazard response compared to human operators
Data Source
AI summary
Techniques for generating flight operation recommendation for an aircraft are described. In operation, a flight safety hazard is detected on a flight path corresponding to a current flight operation of an aircraft. In response, the current flight operation is modified to generate a modified flight operation. A plurality of avionics parameters is then obtained from avionics systems available onboard the aircraft. A variation in the flight safety hazard is then detected based on at least one avionics parameter from the plurality of avionics parameters. Upon ascertaining the variation to be detrimental to the modified flight operation of the aircraft, the plurality of avionics parameters is analysed using a flight operation recommendation model to generate a plurality of flight operation recommendations. A flight operation recommendation from the plurality of flight operation recommendations is then applied to the modified flight operation.


