Dynamic Weather Model System for Aircraft Hazard Prediction
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Solution Overview
Problem
Conventional aircraft weather radar systems lack sophistication in providing analyzed information to crew, failing to differentiate between varying storm characteristics based on geography and requiring crew to continuously monitor radar images to discern changes, leading to increased cognitive workload and potential unnecessary flight plan deviations.
Innovation Solution
A dynamic weather model system that uses accumulated field data and observations to generate and analyze various weather models, predicting characteristics such as turbulence, precipitation, and growth rates, and providing enhanced, real-time information to the crew through an aviation electronics system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a simple weather model with five categories is used to display radar return intensities, then the device complexity is reduced and ease of operation is improved, but the measurement precision and reliability of weather characterization are degraded
Solution Approach 1:
The patent implements a dynamic weather model selection system that automatically chooses between simplified and sophisticated weather models based on geographic location, time of day, and seasonal parameters. This allows the system to adapt its complexity level dynamically rather than being fixed, resolving the contradiction by providing simple models when ease of operation is prioritized and sophisticated models when measurement precision is critical
Solution Approach 2:
The system changes operational parameters (weather model sophistication) based on external conditions (geography, time, season). By adjusting the model selection parameters according to environmental context, the system optimizes the balance between operational simplicity and measurement accuracy for different flight scenarios
2Device complexity
If conventional radar systems display only basic colored regions without sophisticated analysis, then the device complexity is reduced, but the loss of information regarding detailed weather characteristics increases
Solution Approach 1:
The patent segments weather information display into multiple hierarchical levels: basic colored regions for immediate visual assessment, and sophisticated analyzed information for detailed weather characteristics. This segmentation allows the system to provide both simple overview and detailed analysis without overwhelming the crew, resolving the contradiction between device complexity and information completeness
Solution Approach 2:
The system adds a temporal dimension to weather information by providing both current radar returns and predicted future weather characteristics. This multi-dimensional approach to information presentation allows comprehensive weather understanding without requiring excessive system complexity
3Reliability
If the crew continuously monitors radar images to discern weather changes, then the reliability of weather assessment is improved, but the loss of time for other flight operations increases and cognitive workload increases
Solution Approach 1:
The system performs preliminary analysis of weather data using sophisticated weather models to predict future weather characteristics before the crew needs to make decisions. By pre-processing and interpreting weather information, the system reduces the need for continuous crew monitoring while maintaining high reliability in weather assessment
Solution Approach 2:
The system implements feedback mechanisms that provide the crew with processed weather analysis and predictions, reducing cognitive workload. The feedback loop continuously monitors weather conditions and automatically updates predictions, maintaining reliability without requiring constant active crew engagement
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The dynamic weather model system reduces crew cognitive workload by providing more accurate and timely weather information, allowing for reduced 'heads down' time and minimizing unnecessary flight plan deviations by predicting hazardous conditions and differentiating between storm types based on geography.
Implementation Method 1
An aircraft weather radar system emits a pulsed signal, or a series of pulsed signals, in a predefined direction (azimuth) from its antenna. When the pulsed signal is incident on weather that lies along the direction of the emitted pulsed signal, a portion of the pulsed signal is reflected back from precipitation within the weather.
Data Source
Figure 1A~1B
Figure 2
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AI summary
Dynamic weather model systems and methods are operable to assess weather (108, 110) in proximity to an airborne aircraft (104). An exemplary embodiment receives a radar return from the weather, determines reflectivity information from the received radar return, retrieves a weather model from a weather model data base (228), compares the weather (108, 110) with the retrieved weather model and the determined reflectivity information, predicts a characteristic of the weather (108, 110) based upon the comparison of the weather and the weather model, and determines if the predicted characteristic is potentially hazardous to the airborne aircraft (104). The weather model is defined by at least one weather modeling algorithm, and is defined by at least one of a parameter and a variable parameter range residing in a weather characteristics database (338).