Aircraft Landing Difficulty Estimation via Multivariate Wind Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional aircraft flight information generation systems provide low correlation between warning information and actual flight interference or accident occurrence due to threshold-based wind disturbance assessments.
Innovation Solution
An aircraft flight information generation device and method that utilize nonlinear multivariate analysis models to estimate wind disturbance components and landing difficulty levels based on historical flight data, incorporating wind direction, speed, and bearing data from weather sensors, to provide highly correlated and accurate warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If threshold value determination is used for wind disturbance assessment, then the system is simple to operate, but the correlation between warning information and actual flight interference occurrence is low
Solution Approach 1:
The patent transforms the assessment from simple threshold-based wind speed evaluation to a multivariate analysis system that processes multiple parameters including wind direction, wind speed, bearing data, and historical flight information. This parameter expansion enables much higher correlation with actual flight interference occurrence while maintaining automated operation through computer-based processing.
Solution Approach 2:
The patent introduces an information processing system that acts as an intermediary between raw weather sensor data and pilot decision-making. This system collects, processes, and analyzes multiple data sources (wind observations, flight data, bearing information) to generate comprehensive assessment results, thereby improving accuracy without requiring the pilot to directly handle complex calculations.
2Measurement precision
If comprehensive wind disturbance data is collected and analyzed, then the accuracy of flight interference prediction is improved, but the data processing complexity increases
Solution Approach 1:
The patent implements self-service through automated computer-based processing of all collected data. The system automatically performs multivariate analysis, compares current conditions with historical flight data, and generates assessment results without requiring manual intervention. This automation handles the complexity of processing comprehensive wind disturbance data while maintaining high accuracy in landing difficulty estimation.
Solution Approach 2:
The patent replaces manual data processing and analysis with computer-based automated systems. Instead of pilots or operators manually analyzing wind data and determining landing difficulty, the system uses computational algorithms to process weather sensor data, flight history, and bearing information, thereby managing data processing complexity through electronic rather than mechanical/manual means.
3Reliability
If historical flight data is used for model construction, then the reliability of warning information is improved, but the time required for data preparation increases
Solution Approach 1:
The patent applies preliminary action by pre-collecting and storing historical flight data and wind observation information in databases before actual landing assessments are needed. The system maintains ready-to-use datasets including past flight paths, wind conditions, and bearing information, which can be quickly retrieved and processed during critical landing decision-making without time-consuming data preparation.
Solution Approach 2:
The patent uses computer-based automated systems to rapidly process and analyze historical flight data, replacing manual data preparation processes. The automated system can quickly retrieve, filter, and analyze historical datasets to construct accurate prediction models, significantly reducing the time required compared to manual data handling while maintaining high reliability through comprehensive historical analysis.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
There are provided an aircraft flight information generation device, an aircraft flight information generation method, and an aircraft flight information generation program that generate information highly correlated with the actual occurrence of a flight interference and an accident. An aircraft flight information generation device 10 for generating aircraft flight information used in aircraft flight estimates an aircraft landing difficulty level at a runway by using data on wind directions and data on wind speeds at a plurality of predetermined altitudes on a landing path acquired by a weather sensor S, data on bearing of the runway, and information in the model of the aircraft, as input information.