Pilot Perception Incapacitation Detection From Flight Inputs
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Solution Overview
Problem
Current aviation systems lack an active method to detect spatial disorientation in pilots during flight, relying solely on a second pilot to monitor the flight deck, which can lead to unsafe conditions.
Innovation Solution
A system that monitors aircraft status and pilot inputs to identify potential perception-based incapacitation, using machine learning algorithms and neural networks to characterize and remediate such conditions in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a second pilot monitors the flight deck to detect spatial disorientation, then detection capability is improved, but device complexity and operational burden increase
Solution Approach 1:
The system enables the aircraft to self-monitor for spatial disorientation by automatically comparing pilot control inputs against expected inputs for current flight conditions, eliminating the need for a second pilot to perform manual monitoring
Solution Approach 2:
The patent replaces the mechanical/ human monitoring system with an automated electronic system that uses sensors, processors, and algorithms to detect spatial disorientation by analyzing control input deviations
2Measurement precision
If automated detection systems are implemented to detect spatial disorientation, then detection precision is improved, but device complexity increases
Solution Approach 1:
The system uses existing multi-functional aircraft components (control sensors, flight data systems) to perform spatial disorientation detection, rather than requiring dedicated specialized equipment
Solution Approach 2:
The system introduces a processing layer that mediates between raw control input data and disorientation detection, using algorithms to compare actual inputs with expected inputs based on flight conditions
3Reliability
If real-time monitoring and remedial action are implemented, then safety is improved, but use of energy increases
Solution Approach 1:
The system performs detection and comparison operations at periodic intervals rather than continuous monitoring, reducing energy consumption while maintaining effective detection capability
Solution Approach 2:
The system focuses monitoring efforts on critical flight phases and parameters where spatial disorientation is most likely to occur, rather than uniformly monitoring all parameters at all times
Data Source
AI summary
A pilot monitoring system is configured to monitor the current status of an aircraft, and determine if the pilot is likely experiencing perception-based incapacitation. Based on accumulated data, certain aircraft states (control positions, flight phase, etc.) can be associated with a likelihood of perception-based incapacitation. The system may characterize pilot inputs during periods of likely perception-based incapacitation, and take remedial action when actual perception-based incapacitation is identified.


