基于飞行员行为数据多方法融合的工作负荷评估模型及试验研究  

A Multi-Method Fusion Workload Assessment Model Based on Pilot Behavior Data and Experimental Research

作　　者：罗昕[1] 李尚昀 刘李澄 Luo Xin;Li Shang-yun;Liu Li-cheng(Zhejiang University,Hangzhou 310058,Zhejiang Province,China;Xinghai Experimental Senior High School,Suzhou Industrial Park,Suzhou 215127,Jiangsu Province,China;Nanjing University of Aeronautics and Astronautics Suzhou Affiliated High School,Suzhou 215100,Jiangsu Province,China)

机构地区：[1]浙江大学,浙江杭州310058 [2]苏州市工业园区星海实验高级中学,江苏苏州215127 [3]南京航空航天大学苏州附属中学,江苏苏州215100

出　　处：《科学与信息化》2025年第8期76-79,83,共5页Technology and Information

摘　　要：评估飞行员的工作负荷可以有效减少飞行员的失误。本文提出了一种主客观多方法融合模型的工作负荷评估方法,首先记录了高强度对抗下飞行员对负荷主观评测和生理数据,其次运用模糊数学模型将生理数据转为压力值,最后将压力值、斯坦福嗜睡量表和OWL量表按照经验权重拟合,基于该模型实现飞行员行为数据处理及评估。Assessing pilots'workload can effectively reduce pilot errors.This paper proposes a workload assessment method based on a multi-method fusion model of subjective and objective data.First,the subjective evaluations and physiological data of pilots under high-intensity confrontation were recorded.Second,a fuzzy mathematics model was used to convert physiological data into stress values.Finally,the stress values,Stanford Sleepiness Scale,and OWL scale were fitted according to empirical weights.Based on this model,pilot behavior data processing and assessment were realized.

关 键 词：工作负荷 评估模型 多方法融合 飞行员行为 试验研究 

分 类 号：V328[航空宇航科学与技术—人机与环境工程]