Closed-Loop Flight Training System for Pilot Proficiency
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Solution Overview
Problem
Current avionics training systems lack a verification mechanism to assess the effectiveness of safety management system (SMS) events and translate them into training, leading to inadequate training for pilots and crew, which can result in safety risks and inefficiencies in refining safety barriers.
Innovation Solution
A closed-loop monitoring system that determines recommended flight training topics based on proficiency evaluations derived from flight data analysis, ensuring continuous assessment and adjustment of training curricula to address specific operational deficiencies and improve pilot performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional training systems are used without verification mechanisms, then training delivery is simple and straightforward, but training effectiveness cannot be assessed and safety risks cannot be mitigated
Solution Approach 1:
The patent implements a closed-loop feedback system where flight data from SMS events is continuously monitored, analyzed for proficiency gaps, translated into targeted training topics, and then verified by re-analyzing subsequent flight data to confirm improvement. This feedback mechanism ensures training effectiveness while maintaining systematic complexity through automated data processing.
Solution Approach 2:
The system introduces an intermediary layer between flight operations and training delivery - a computer system that automatically translates SMS event data into proficiency evaluations and generates specific training recommendations. This intermediary automates the complex analysis and translation processes, reducing manual intervention while improving reliability.
2Measurement precision
If comprehensive flight data analysis is performed to assess pilot proficiency, then training precision is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and storing flight data from SMS events in real-time during normal operations. This pre-processing and archiving of data allows for rapid proficiency assessment when training needs are identified, eliminating the need for time-consuming data collection at the point of assessment.
Solution Approach 2:
The patent segments the flight data analysis into specific proficiency areas corresponding to SMS event categories. Rather than analyzing all flight data comprehensively, the system focuses analysis on relevant segments tied to specific safety events, reducing overall processing time while maintaining assessment accuracy for critical areas.
3Adaptability or versatility
If training curricula are statically defined without continuous adjustment, then curriculum development is simpler, but training relevance to current operational risks decreases
Solution Approach 1:
The patent implements dynamic curriculum adjustment where training topics are automatically generated and updated based on real-time analysis of SMS event data. The system continuously adapts the training curriculum to reflect current operational risks and proficiency gaps, transforming static training programs into dynamic, responsive training sequences that evolve with operational conditions.
Solution Approach 2:
The system changes key parameters of the training curriculum - specifically the selection and prioritization of training topics - based on analyzed proficiency evaluations from flight data. This parameter change approach allows the curriculum to automatically adjust its content and focus areas without requiring complete restructuring, balancing adaptability with manageable complexity.
Data Source
AI summary
A computer-implemented method may be used for training aircraft operators. The method may include determining a set of recommended flight training topics for a target aircraft operator, and receiving flight data recorded from simulator training performed by the aircraft operator or operation of aircraft by the aircraft operator. Additionally, the method may include analyzing the flight data to determine a proficiency evaluation, the proficiency evaluation being a measure of proficiency of the aircraft operator in one or more training topics, and adjusting the set of recommended flight training topics based on proficiency evaluation.