Personalized Flight Training Scheme Generation
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Solution Overview
Problem
Current flight training schemes lack the ability to generate differentiated and efficient training plans quickly, are not highly adaptable to individual trainees, and do not allow for real-time updates based on the trainee's evolving skills and emotional states.
Innovation Solution
A system comprising multiple apparatuses that collect and analyze user identity, training data, and real-time physiological and operational data to generate and update flight training schemes using a Markov Monte Carlo method and training efficiency optimization, ensuring the scheme aligns with the trainee's mastery level and emotional state, optimizing training item combinations and duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If training schemes are customized by trainers based on trainees' learning states, then the training scheme can be personalized for a single trainee, but there is a high requirement for a scheme provider and there are great differences due to different trainers
Solution Approach 1:
The system enables self-service by automatically generating personalized training schemes based on trainee data without requiring manual customization from trainers. The computer-based system autonomously processes trainee information, selects appropriate training items, and generates optimized training schemes, eliminating the need for highly skilled scheme providers and ensuring consistency across different trainees.
Solution Approach 2:
The patent replaces the mechanical system of manual trainer customization with an automated computer-based system. The system uses software algorithms to process trainee data, select training items, and generate training schemes, substituting human expertise with computational processes that are more consistent, scalable, and less dependent on individual trainer capabilities.
2Adaptability or versatility
If training schemes are generated manually by selecting training items and scenarios, then the training scheme can be customized, but the generation speed of the training scheme is slow
Solution Approach 1:
The system performs preliminary actions by pre-configuring training items, scenarios, and parameters in a database before actual scheme generation. When a training scheme is needed, the system retrieves pre-prepared components and combines them automatically, significantly reducing generation time while maintaining customization capabilities.
Solution Approach 2:
The patent replaces manual selection and configuration processes with automated computer algorithms that instantly generate training schemes by processing trainee data against pre-established training databases, dramatically increasing generation speed from minutes to seconds while preserving customization through data-driven selection.
3Ease of manufacture
If training schemes are generated based on fixed templates, then the generation process is simple, but the applicability of the training scheme to the trainee is reduced
Solution Approach 1:
The system dynamically changes parameters such as training item selection, difficulty level, duration, and scenario configuration based on individual trainee characteristics, learning states, and performance data. This allows the generation process to remain automated and simple while producing highly customized training schemes that adapt to each trainee's specific needs and capabilities.
Solution Approach 2:
The patent applies local quality by tailoring specific aspects of the training scheme to individual trainee characteristics while maintaining overall structural consistency. The system customizes training items, scenarios, and parameters locally for each trainee based on their unique profile, ensuring high applicability while keeping the generation process systematic and straightforward.
4Adaptability or versatility
If training schemes are updated manually based on trainee progress, then the training scheme can be adapted to changing skills, but the update process is time-consuming and not real-time
Solution Approach 1:
The system continuously collects feedback from trainee performance data, physiological responses, and learning progress during training sessions. This feedback is automatically processed to dynamically update and adjust the training scheme in real-time, ensuring the training remains optimally adapted to the trainee's changing skills and states without manual intervention or time delays.
Solution Approach 2:
The patent replaces manual review and adjustment processes with automated computer-based monitoring and adjustment systems. The system continuously processes trainee data, compares it against learning objectives, and automatically updates training parameters, scenarios, and item selection in real-time, eliminating the time-consuming manual update process while maintaining continuous adaptation to trainee progress.
Data Source
AI summary
A system, method, and device for generating a flight training scheme oriented to an individual difference are provided to resolve a problem that a differentiated training scheme applicable to a training state of a trainee cannot be generated quickly. The system includes a first apparatus configured to obtain identity information of a user; a second apparatus configured to store training data of the user; a third apparatus configured to read the corresponding training data of the user based on the identity information of the user, obtain a mastery degree of a training item of the user as well as an emotion class and rating of the user corresponding to the training item, configure the training item based on a training scenario, and generate an initial training scheme; and a fourth apparatus configured to configure a flight training simulation environment based on the initial training scheme.