Adaptive Extrapolation Time for Aircraft Anti-Collision Alarms
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Solution Overview
Problem
Current anti-collision systems for aircraft, such as TAWS, generate excessive and often erroneous alerts in urban environments due to numerous obstacles, leading to crew distraction and operational nuisance, particularly for helicopters, as they are not adapted to the specific context of high obstacle density.
Innovation Solution
A method that adjusts the range of extrapolated aircraft trajectories by applying weighting coefficients based on obstacle density, ground speed, heading changes, altitude, and other parameters to reduce the duration of climb calculations, thereby filtering out irrelevant alarms and improving alert relevance in urban flight contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the anti-collision system monitors all obstacles within a fixed maximum time period, then the safety coverage is comprehensive, but the number of false alarms increases in urban environments with high obstacle density
Solution Approach 1:
The patent applies dynamics by making the extrapolation time period adaptive rather than fixed. The system dynamically adjusts the time period based on obstacle density: in urban environments with high obstacle density, the time period is reduced to filter out false alarms from non-critical obstacles, while in open areas with low obstacle density, the full maximum time period is used to maintain comprehensive safety coverage. This dynamic adjustment resolves the contradiction between comprehensive monitoring and false alarm reduction.
Solution Approach 2:
The patent applies local quality by differentiating the monitoring strategy based on local environmental characteristics. The system identifies urban environments through obstacle density analysis and applies a filtered monitoring approach locally in these areas, reducing the extrapolation time period only where high obstacle density is detected. In non-urban areas, the system maintains the full monitoring scope. This localized adaptation allows the system to maintain high reliability where needed while reducing false alarms in specific problematic regions.
2Device complexity
If the system uses a fixed extrapolation time period for all flight conditions, then the calculation is simple, but the alert relevance decreases in urban flight contexts
Solution Approach 1:
The patent applies parameter changes by modifying the extrapolation time period parameter based on flight conditions and obstacle density. Instead of using a single fixed value, the system adjusts this parameter dynamically: reducing it in urban environments with high obstacle density to improve alert relevance, and maintaining the maximum value in open areas. This parameter adaptation allows the system to maintain calculation simplicity through a single adjustable parameter while significantly improving alert relevance for different flight contexts.
3Object-generated harmful factors
If the system reduces the extrapolation time period to filter alarms, then the crew distraction is reduced, but the safety monitoring coverage is compromised
Solution Approach 1:
The patent resolves this contradiction through dynamic adaptation of the extrapolation time period based on environmental context. In urban environments with high obstacle density, the system reduces the time period to minimize crew distraction from false alarms. In open areas with low obstacle density, the system maintains the full maximum time period to ensure comprehensive safety monitoring coverage. This dynamic approach ensures that safety coverage is compromised only when necessary in specific high-density environments, while maintaining full coverage elsewhere.
Solution Approach 2:
The patent applies local quality by implementing different monitoring strategies in different geographic contexts. The system identifies urban areas through obstacle density analysis and applies a reduced extrapolation time period locally in these specific regions to reduce crew distraction. In non-urban areas, the system maintains the full monitoring coverage with the maximum time period. This localized differentiation allows the system to reduce harmful crew distraction in specific problematic areas without compromising overall safety monitoring coverage.
Data Source
AI summary
A method for filtering anti-collision alarms for aircraft, the said aircraft comprising means for calculating its speed and extrapolated positions on its trajectory, the said extrapolated positions being calculated over a fixed maximum time period, called extrapolation time, and a topographical database of the terrain, the said database comprising, within a given perimeter, data on the density of obstacles, comprises a calculation of a weighting coefficient for the extrapolation time of the calculated extrapolated trajectories of the aircraft as a function of the density of obstacles within a surface area included within the perimeter.