Flight String Fatigue Evaluation Using Quantitative Index System

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Solution Overview

Problem

Current methods for evaluating flight string fatigue in civil aviation rely heavily on biomathematical models that cannot assess fatigue until pilot allocation is complete, and lack objective tools for considering complex fatigue factors, leading to unbalanced distribution and safety risks.

Innovation Solution

A method and system for evaluating flight string fatigue using a comprehensive index system and quantitative calculation model that considers multiple influencing factors, including duty duration, start and end times, take-off and landing times, and workload, to objectively assess and balance fatigue levels across flight strings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If biomathematical models are used to evaluate pilot fatigue, then fatigue prediction can be performed, but the evaluation cannot be conducted until pilot allocation is complete and cannot assess flight string fatigue in advance

Engineering Contradiction:
Improvefatigue evaluation timingVSAvoidtime for fatigue assessment
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by developing an evaluation method that can assess flight string fatigue before pilot allocation is completed. The method calculates fatigue grades based on flight string characteristics (duty duration, rest time, flight types) in advance, allowing scheduling personnel to make informed allocation decisions before the actual pilot assignment occurs.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If flight string formulation follows only time-related restrictions, then scheduling efficiency is improved, but fatigue evaluation becomes subjective and unbalanced due to lack of objective tools

Engineering Contradiction:
Improvescheduling efficiencyVSAvoidfatigue evaluation objectivity
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies parameter changes by transforming the fatigue evaluation from a subjective qualitative assessment to an objective quantitative measurement. It introduces specific measurable parameters such as duty duration, rest time between flights, flight type classifications, and calculates fatigue grades using standardized formulas, enabling precise and objective evaluation of flight string fatigue levels.

Inventive Principle:
Principle #35Parameter changes

3Stability of the object's composition

If comprehensive fatigue factors are considered in flight string allocation, then fatigue distribution balance is improved, but evaluation complexity increases due to lack of standardized tools

Engineering Contradiction:
Improvefatigue distribution balanceVSAvoidevaluation system complexity
Core Design Contradiction:
Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the complex fatigue evaluation into distinct, manageable components. It segments the evaluation into separate factors such as duty duration assessment, rest time calculation, flight type classification, and fatigue grade determination. Each segment can be evaluated independently using standardized parameters, making the overall complex evaluation system more structured and manageable.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240193508A1Method and system for evaluating flight string fatigue grade based on task information
Publication Date: 2024.06.13 CIVIL AVIATION UNIV OF CHINA
  • US20240193508A1 patent drawing
  • US20240193508A1 patent drawing

AI summary

The disclosure discloses a method and a system for evaluating a flight string fatigue grade based on task information; the method includes: collecting task information of a flight string, and extracting first factors influencing a flight string fatigue degree based on the task information; constructing an index evaluation system based on the first factors, and calculating a weight coefficient of each of the first factors; carrying out a segment processing on the task information to obtain duty period segments; carrying out a quantitative characterization on the each of the first factors to obtain factor intensities of the duty period segments; calculating first fatigue values of the duty period segments based on the weight coefficients and the factor intensities; calculating a second fatigue value of the whole flight string based on the first fatigue values; and determining a flight string fatigue grade based on the second fatigue value.