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基于脑力负荷的飞行训练智能评价机制中的关键问题研究
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摘要
<正>本研究目的在于初步建立飞行员飞行品质评价系统。方法上首先分析不同飞行程序和不同飞行航段中的飞行参数(飞行高度、速度、姿态角、垂直过载、升降率、姿态角变化率,与飞行技术规范的标准参数之间的偏差)和生理数据(心率、血压、呼吸频率和眼动),确立适合评价飞行员飞行品质的指标体系;其次分析不同航段飞行参数指标之间的权重和不同生理指标之间的权重以及不同航段之间的权重分配;最后提取出完整的模糊规则(权重分配)。结果建立基于模糊逻辑的飞行员飞行品质评价系统。
Objective: To analyze the change of physiology,flight date indices and subjective evaluation under simulated flight environment,and construct the comprehensive mental workload evaluation of flight cadets combine fuzzy logic theory. Methods: Thirteen healthy young male flight cadets were enrolled in this study, completed the standard flight procedure on the simulated flight, the indices include heart rate(HR)、respiration rate(RR)、flight date and NASA-TLX scale. Results:(1) The physiology,flight date indices could reveal the significantly difference of mental workload between take-off、approach and cruising, which are sensitive to mental workload(2)It proves the results of evaluation model are high consistent with the NASA-TLX,which has validity. Conclusion: The results of the study indicate that, the physiology,flight date indices are sensitive to the mental workload of flight and the evaluation model of mental workload based on fuzzy logic deserves further research.
引文

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