Real-Time Pilot Training Evaluation System
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Solution Overview
Problem
Current systems for evaluating student pilots during flight training missions provide objective assessments but only after the mission, lacking real-time evaluation capabilities.
Innovation Solution
A system and method that utilize a processor integrated into the aircraft, with multiple processing units and a data exchange memory, to evaluate pilot actions in real-time by comparing them against predefined training data, providing immediate feedback through a graphic interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If objective evaluation systems are implemented, then evaluation accuracy is improved, but real-time feedback capability deteriorates
Solution Approach 1:
The evaluation system is segmented into multiple independent processing units, each responsible for evaluating specific pilot actions against predefined training data. This segmentation enables parallel processing of different evaluation tasks, achieving both high measurement precision through comprehensive evaluation and real-time feedback through concurrent execution of multiple evaluation streams
Solution Approach 2:
Training data and evaluation criteria are predefined and stored in the system before the training mission begins. The system performs preliminary setup by loading training scenarios, performance thresholds, and evaluation rules into memory, enabling immediate real-time evaluation without delay during actual flight training operations
2Loss of time
If real-time evaluation is implemented, then feedback timeliness is improved, but system complexity worsens
Solution Approach 1:
The evaluation system is designed as a universal platform that can handle multiple types of pilot actions, training scenarios, and evaluation criteria through a single integrated architecture. The system uses standardized data structures and processing routines that work across different training missions, reducing overall system complexity while maintaining real-time evaluation capabilities
Solution Approach 2:
A centralized data exchange memory acts as an intermediary between various processing units and the display system. This intermediary component simplifies the overall architecture by providing a standard interface for data flow, eliminating the need for complex direct connections between all system components while enabling real-time information exchange
3Measurement precision
If multiple processing units are used, then evaluation comprehensiveness is improved, but data management complexity worsens
Solution Approach 1:
Multiple processing units that perform different evaluation functions are merged into a unified system architecture with shared resources. The processing units share common data exchange memory, standardized communication protocols, and integrated control logic, which simplifies data management while maintaining comprehensive evaluation capabilities through the combined strength of multiple specialized processors
Data Source
AI summary
A system for evaluating an operator in a training mission on a training element, including a first processing unit configured to receive and process first data to generate converted data according to an operating frequency; a second processing unit configured to receive and process the converted data and mission support data according to the operating frequency to generate second data; and a third processing unit configured to receive and compare the converted data with the second data according to the operating frequency such to generate, based on said comparison, response data. Response data comprise visualisation data and the evaluation system further includes a graphic process unit configured to receive visualisation data and generate a map of the operating environment wherein the training element operates.