民航飞行员情景意识理解偏差影响因素分析

Analysis on the Factors Influencing the Deviation of Civil Aviation Pilots'Situational Awareness Understanding

本文通过对民航典型事故案例的分析,运用贝叶斯理论构建网络图,研究机组成员情景意识的影响因素。从情景意识理解层面入手归纳整理资料,构建贝叶斯网络模型。分析侧重于理解偏差的典型案例,对案例中的影响因素进行综合分析与评价,然后利用语义数字结合的方法寻求航校教员对影响因素评价打分,确定贝叶斯网络参数。研究结果表明影响情景理解的主要因素是知识积累和团队交流协作能力。

This paper analyzes typical aviation accident cases and employs Bayesian theory to construct a network diagram and study the factors influencing crew members'situational awareness.Starting from the level of understanding situational awareness,data is organized and structured to build a Bayesian network model.The analysis focuses on typical cases with understanding deviations and conducts a comprehensive analysis and evaluation of the influencing factors within the cases.Then it employs a method to combine semantic numerals to seek evaluation scores of the influencing factors from flight school instructors,thereby determining the parameters of the Bayesian network.The research results indicate that the main factors affecting situational understanding are knowledge accumulation,team communication and collaboration abilities.