In-Flight Weather Alert System for Turbulence and Wind Shear Detection
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Solution Overview
Problem
On-board weather radars have limitations in detecting certain adverse weather conditions, such as turbulence in clear air, clouds, fog, sandstorms, wind shear, lightning, and have low reflectivity for dry snow and hail, leading to increased pilot workload and reliance on delayed oral/textual communications for weather information interpretation.
Innovation Solution
A system and method that obtain in-flight weather information from aircraft at regular intervals, update a weather grid with this data, and send predictive weather alerts to the aircraft's display along its flight trajectory, including turbulence, icing, thunderstorm, and wind shear conditions, using processors and a weather alert module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If on-board weather radars are used to detect adverse weather conditions, then weather information within 320 NM can be detected, but the detection range is limited and cannot detect certain weather conditions such as turbulence in clear air, clouds, fog, sandstorms, wind shear, lightning, and dry snow/hail have low reflectivity
Solution Approach 1:
The patent combines multiple weather detection sources including on-board weather radar, ground-based weather radar, satellite imagery, and weather model data into a single integrated weather information system. This merging of diverse detection methods compensates for the limitations of individual systems, providing comprehensive weather coverage including conditions that single radars cannot detect such as clear air turbulence, clouds, fog, and wind shear.
Solution Approach 2:
The weather information system is designed to provide universal weather detection capabilities for multiple types of adverse weather conditions through a single integrated platform. The system processes and presents various weather phenomena (thunderstorms, turbulence, icing, wind shear, lightning, etc.) through unified alert messages, making the system adaptable to diverse weather detection needs without requiring separate specialized systems for each weather type.
2Loss of information
If pilots rely on communications with ground personnel for weather information, then additional weather data can be obtained, but there is a lag between the time a request is made and the time information is received
Solution Approach 1:
The system performs preliminary weather analysis and generates weather alerts in advance before the aircraft reaches the affected area. By continuously monitoring weather data and predicting adverse conditions along the flight path, the system provides proactive warnings to pilots before they need to contact ground personnel, eliminating the time delay associated with request-response communication cycles.
Solution Approach 2:
The integrated weather information system enables the aircraft to self-monitor and self-alert regarding weather conditions along its flight path. The system automatically processes weather data from multiple sources, analyzes potential hazards, and generates alerts without requiring pilot initiation or ground personnel intervention, thereby eliminating communication delays and providing continuous real-time weather monitoring.
3Measurement precision
If pilots interpret radar images and adjust tilt, gain manually, then accurate local weather detection is possible, but pilot workload increases
Solution Approach 1:
The weather information system automatically performs radar image interpretation, weather condition analysis, and alert generation without requiring manual pilot intervention. The system self-adjusts radar parameters, processes weather data, and presents interpreted weather information in the form of standardized alert messages, thereby maintaining accurate weather detection while significantly reducing pilot workload associated with manual radar operation and interpretation.
Solution Approach 2:
The system replaces manual mechanical radar operation and interpretation with automated electronic processing and algorithm-based weather analysis. Instead of pilots manually adjusting tilt and gain controls and interpreting radar images, the system uses automated software to process radar data, identify weather conditions, and generate alerts, substituting human cognitive and manual operations with electronic automation while maintaining or improving detection accuracy.
4Loss of information
If oral and/or textual weather information is provided to pilots, then weather data can be transmitted, but pilots must visualize location of adverse weather conditions which increases workload
Solution Approach 1:
The system creates a graphical copy or representation of the actual weather conditions along the flight path by processing radar and weather model data. Instead of providing pilots with raw oral or textual weather information that requires mental visualization, the system generates visual weather maps and alert messages that directly display the location, intensity, and movement of adverse weather conditions, thereby reducing the cognitive workload of visualizing weather patterns while maintaining complete weather information transmission.
Data Source
AI summary
A system and method for sending weather alerts to an aircraft during flight are disclosed. In one embodiment, in-flight weather information is obtained from one or more aircrafts at regular intervals. Further, weather conditions along a predicted flight trajectory of the aircraft are determined using the obtained in-flight weather information. The aircraft is preceding the one or more aircrafts. Furthermore, the weather alerts associated with the weather conditions are sent to a display in the aircraft during flight.