Dynamic Aircraft Threat Controller for Aircraft-Specific Icing and Turbulence
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Solution Overview
Problem
Existing weather monitoring systems provide generalized weather forecasts that do not account for specific aircraft airfoils, leading to inadequate icing and turbulence predictions, which can pose significant hazards during flights.
Innovation Solution
The Dynamic Aircraft Threat Controller Manager (DATCM) integrates comprehensive hazard modeling into flight planning tools, using aircraft-specific airfoil data to predict and avoid areas of turbulence and icing by generating optimized flight paths based on real-time and predictive data from various sources, including weather stations, satellites, and aircraft sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If generalized weather forecasts are used, then device complexity is reduced, but measurement precision of icing and turbulence predictions deteriorates
Solution Approach 1:
The system transitions from generalized weather forecasts to aircraft-specific predictions by incorporating airfoil geometry data. Each aircraft type receives customized icing and turbulence predictions based on its unique aerodynamic characteristics, thereby improving measurement precision without requiring complete system redesign.
Solution Approach 2:
The system changes the parameters of weather forecasts by integrating aircraft-specific variables such as airfoil shape, wing configuration, and aerodynamic coefficients. This parameter customization enables precise prediction of icing accumulation and turbulence effects tailored to each aircraft type.
2Measurement precision
If aircraft-specific airfoil data is integrated, then measurement precision of hazard predictions improves, but device complexity increases
Solution Approach 1:
The system achieves aircraft-specific predictions through a universal platform that processes multiple aircraft types. The core algorithm remains generalizable while accepting airfoil geometry inputs, allowing one system to serve multiple aircraft configurations without requiring separate specialized systems for each aircraft type.
Solution Approach 2:
The system introduces an intermediary processing layer that translates generic weather data into aircraft-specific hazard predictions. This intermediary component integrates airfoil data with weather forecasts, acting as a mediator between general weather monitoring and specific aircraft performance prediction.
3Reliability
If comprehensive hazard modeling is implemented, then reliability of flight safety improves, but device complexity increases
Solution Approach 1:
The system performs preliminary hazard assessment during flight planning by integrating comprehensive modeling of icing and turbulence conditions. By predicting hazards before flight departure and providing optimized flight paths, the system ensures safety reliability without requiring complex real-time intervention systems during actual flight operations.
Data Source
AI summary
The present invention transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via system components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive flight condition data. In one implementation, the system comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The system may then determine comprehensive hazards mappings. With (near) real-time comprehensive hazard information and/or predictive flight condition specific to aircraft characteristics and/or profile parameters, the system may allow aircraft to avoid areas where comprehensive hazard is greater than a predetermined threshold and/or avoid areas where undesirable flight conditions are anticipated.