Airborne Weather Radar Avian Hazard Detection
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Solution Overview
Problem
Current ground-based weather radar systems are ineffective above 500 feet AGL and have limited coverage, failing to adequately detect and classify avian hazards, which are a significant threat to aircraft safety, as over 70% of bird strikes occur at or below this altitude but can cause substantial damage when they do occur above.
Innovation Solution
An airborne weather radar system configured for fully automatic detection, assessment, and tracking of bird targets in real-time, capable of operating at higher altitudes without increasing pilot workload, using filtered radar data to classify non-weather targets as avian hazards and providing alerts through integrated systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ground-based weather radar systems are used to detect avian hazards, then detection capability at low altitudes (below 500 feet AGL) is provided, but detection effectiveness above 500 feet AGL is lost and coverage is limited
Solution Approach 1:
The patent inverts the conventional ground-based radar approach by deploying airborne radar systems mounted on aircraft. This inversion allows the detection system to operate from aerial platforms at various altitudes, thereby achieving comprehensive coverage from low to high altitudes and resolving the limitation of ground-based systems that are ineffective above 500 feet AGL
Solution Approach 2:
The patent transitions from two-dimensional ground-based detection to three-dimensional airborne detection by deploying radar systems on multiple aircraft at different altitudes. This dimensional change enables simultaneous detection across the entire vertical profile from near ground level to high altitude, overcoming the altitude coverage limitation
2Measurement precision
If weather radar data is processed to filter out weather and detect non-weather targets, then avian hazard detection capability is improved, but system complexity increases
Solution Approach 1:
The patent extracts and isolates non-weather targets from weather radar data by applying filtering algorithms that separate biological targets (birds, insects, bats) from meteorological phenomena. This extraction process enables precise avian hazard detection while managing data processing complexity through targeted signal separation techniques
Solution Approach 2:
The patent introduces intermediate processing stages including signal filtering, target classification algorithms, and hazard assessment modules that mediate between raw radar data and final avian hazard detection. These intermediary components break down the complex processing task into manageable stages, improving detection precision while controlling system complexity
3Reliability
If airborne weather radar systems perform fully automatic detection and tracking of bird targets, then detection capability is enhanced, but pilot workload may increase
Solution Approach 1:
The patent implements fully automatic detection, tracking, and assessment of bird targets using onboard radar systems and integrated algorithms. The system performs self-service by autonomously identifying hazards, calculating risk levels, and providing alerts without requiring manual pilot intervention, thereby enhancing detection capability while maintaining ease of operation
Solution Approach 2:
The patent incorporates feedback mechanisms where the radar system continuously monitors bird targets, updates tracking information, and provides real-time hazard alerts to pilots. This automated feedback loop enhances detection reliability while reducing pilot workload by eliminating the need for manual monitoring and interpretation of radar data
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 airborne system effectively detects and tracks bird hazards at various altitudes and distances, assessing biological threats based on size, density, and flight path, providing critical hazard data to pilots and air traffic control, enhancing aircraft safety by improving detection capabilities beyond ground-based systems.
Implementation Method 1
Avian hazard detection and classification using airborne weather radar system
Data Source
AI summary
A method and system. The method includes receiving weather radar data. The method further includes filtering out weather from the weather radar data to provide filtered radar data. Additionally, the method includes determining whether the filtered radar data includes any non-weather targets. If any of the non-weather targets is a hazard target, the method includes storing data associated with the hazard target in a hazard data structure.