Pilot Action Capacity Evaluation System
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Solution Overview
Problem
There is no existing means to precisely evaluate the evolution of an aircraft pilot's action capacities during flight, which is crucial for determining when assistance or replacement is needed.
Innovation Solution
A system comprising a database of health and physiological parameter probability curves, measurement modules, computation modules, and a transmission module to assess and communicate the pilot's action capacity levels based on physiological parameter measurements and confidence intervals, using Bayesian classifiers and expert curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If no evaluation system is implemented, then the system remains simple, but the measurement precision of pilot action capacities cannot be ascertained
Solution Approach 1:
The evaluation system is divided into distinct functional modules: measurement modules for acquiring physiological data, computation modules for processing measurements and calculating conditional probabilities, memory modules for storing expert curves and measurement data, and transmission modules for communicating results. This segmentation allows each module to perform its specific function with high precision while keeping the overall system architecture manageable and modular.
Solution Approach 2:
The system introduces computation modules as intermediaries that bridge the gap between raw measurement data and actionable evaluation results. These computation modules process measurements by comparing them against stored expert curves and calculating conditional probabilities, thereby transforming complex physiological data into precise action capacity assessments without requiring direct complex interactions between measurement and evaluation components.
2Reliability
If existing simple monitoring methods are used, then the device complexity is low, but the reliability of action capacity evaluation is insufficient
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring physiological parameters and comparing them against expert curves to calculate conditional probabilities of pilot states. This feedback loop allows the system to dynamically adjust evaluations based on real-time measurements, thereby improving reliability. The transmission module also provides feedback by communicating evaluation results to relevant systems, enabling timely responses to changes in pilot action capacities.
Solution Approach 2:
The system performs preliminary actions by pre-storing expert curves that represent known relationships between physiological parameters and pilot states in the memory module. These expert curves are prepared in advance based on expert knowledge and empirical data, allowing the computation modules to quickly and reliably evaluate pilot action capacities by comparing real-time measurements against these pre-established reference curves, thereby enhancing evaluation reliability without requiring complex real-time analysis of all possible scenarios.
Data Source
AI summary
A system for evaluating the action capacities of an individual comprising at least one measurement module, each measurement module being configured to produce at least one measurement point of a physiological parameter of the individual; a computation module configured to determine at least one set of measurement points representative of a distribution law for the measurement point or points, termed measured set; a computation module configured to compute at least one conditional probability of having one or more states of health; a third computation module configured to compute an average of the computed conditional probability or probabilities; a fourth computation module configured to determine at least one level of action capacity of the individual; a transmission module configured to transmit a signal representative of the level or levels of action capacity of the individual to a user device.