Weather Data Selection for Aircraft Trajectory Prediction
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Solution Overview
Problem
Contemporary aircraft flight management systems (FMS) face limitations in accurately predicting flight trajectories due to restricted numbers of weather data points and high costs of data transmission, which restrict the use of real-time and up-to-date meteorological data.
Innovation Solution
A method is implemented to select a reduced subset of weather data points along an aircraft's trajectory, generating a temperature profile, and iteratively refining this subset until a predetermined threshold is met, ensuring key weather attributes are sent to the FMS for improved predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large amount of weather data points are provided to the FMS, then the accuracy of FMS predictions is improved, but the data transmission cost increases and the FMS processing capability is exceeded
Solution Approach 1:
The patent extracts only the essential weather data points needed for accurate FMS predictions. The system identifies and selects critical waypoints along the flight trajectory where weather data has the most significant impact on prediction accuracy, rather than transmitting all available weather data points. This extraction process reduces data quantity while maintaining prediction accuracy.
Solution Approach 2:
The patent segments the flight trajectory into multiple waypoints and selectively assigns weather data points to specific segments. By dividing the flight path into manageable segments and assigning weather data only where most needed, the system reduces overall data quantity while ensuring accurate predictions for each flight segment.
2Measurement precision
If more weather data points are transmitted to the aircraft, then the prediction accuracy is improved, but the transmission cost over subscription-based systems increases
Solution Approach 1:
The system extracts and transmits only the essential weather data points that provide the most value for prediction accuracy. By identifying and transmitting only these critical data points rather than all available weather data, the patent significantly reduces transmission costs over subscription-based communication systems while maintaining prediction accuracy.
3Measurement precision
If the FMS processes a large number of weather data points, then the prediction accuracy improves, but the FMS has practical limits on the number of data points it can handle
Solution Approach 1:
The patent extracts only the essential weather data points that the FMS can effectively process. By identifying and selecting only those critical data points that provide maximum prediction value within the FMS's processing capabilities, the system maintains prediction accuracy while respecting the practical limits of the FMS hardware and software.
Solution Approach 2:
The system segments the weather data along the flight trajectory and assigns data points to specific FMS processing slots or segments. This segmentation allows the FMS to process weather data in manageable portions corresponding to different flight segments, staying within its practical processing limits while still achieving accurate predictions.
Data Source
AI summary
A method of providing weather information for an aircraft trajectory to a flight management system (FMS) includes selecting a unique subset of temperature data points from weather data points along an aircraft trajectory and sending corresponding weather data points to the FMS.