Simulation Server Event Creation Based on Data Statistics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Flight simulator evaluations are subjective and lack flexibility, as instructors' visual observations and interpretations of simulation data logs vary, and the inability to objectively assess trainees' progress and difficulties due to the lack of measurable rules in simulation scenarios.
Innovation Solution
A simulation server that collects and processes simulation data to create events based on measurable rules, allowing for the objective evaluation of trainees' performance by comparing measured values to target values, and automating the definition of events using data from previous simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If evaluation is based on instructor's visual observations and interpretation of log files, then evaluation can be performed, but subjectivity increases and consistency decreases
Solution Approach 1:
The simulation server automatically evaluates trainee performance by collecting simulation data, generating statistics, and creating events with measurable rules without requiring instructor intervention for the actual evaluation process
Solution Approach 2:
The patent replaces the manual, subjective human evaluation process with an automated computer-based system that uses data processing and statistical analysis to objectively assess trainee performance
2Adaptability or versatility
If simulation scenarios are fixed with pre-determined events, then simulation execution is straightforward, but flexibility and adaptability decrease
Solution Approach 1:
The simulation scenarios transition from static pre-determined events to dynamic events that are automatically created and adjusted based on simulation data statistics, allowing scenarios to adapt to actual trainee performance patterns
Solution Approach 2:
The system automatically generates new simulation events and adjusts scenarios based on collected data without requiring manual instructor intervention to create or modify simulation content
3Measurement precision
If events are defined with measurable rules and target values, then objective evaluation becomes possible, but event definition and setup complexity increases
Solution Approach 1:
The simulation server automatically defines events with appropriate measurable rules and target values based on analysis of simulation data statistics, eliminating the need for manual event configuration
Solution Approach 2:
The manual process of defining events with measurement rules is replaced by an automated system that extracts meaningful metrics and establishes target values from simulation data patterns
4Adaptability or versatility
If manual introduction of new challenges is used, then scenario variety can be achieved, but time consumption and instructor workload increase
Solution Approach 1:
The system automatically generates new simulation challenges and scenarios based on collected performance data, eliminating the need for instructors to manually design and introduce new simulation content
Solution Approach 2:
The system pre-generates multiple simulation events and challenges based on statistical analysis of simulation data, so that varied scenarios are already prepared and available without requiring real-time instructor intervention
Data Source
AI summary
A simulation server capable of creating events of a lesson plan based on simulation data statistics. The simulation server comprises memory for storing simulation data, and a processing unit. The processing unit executes a plurality of simulations functionalities according to a lesson plan. The processing unit collects simulation data representative of the execution of the plurality of simulations functionalities according to the lesson plan. The processing unit stores the simulation data in the memory. The processing unit processes the simulation data to generate simulation data statistics. The processing unit creates at least one event having at least one rule based on the simulation data statistics. The at least one rule consists in at least one measurable value to be measured by at least one of the simulation functionalities.