基于HERA-JANUS模型的空管人误认知分析

空管人误分类分析是空管人误研究的基础。为了对管制员人误进行系统的分类研究,结合空管业务知识和认知心理学理论,对欧洲航空安全局和美国联邦航空局合作开发的HERA-JANUS模型的工作原理和流程进行较详细地分析。运用该方法模型,对我国一起空管不安全事件案例进行分析后得到3个由管制员所产生的人误差错,并对这3个人误差错分别从人误类型、人误认知、相关因素3方面进行详尽的分析研究,最后得出该不安全事件的21项人误结果。结果表明,HERA-JANUS模型能较全面地从深层次分析管制员的人误,其分类形式也便于开展空管人误统计。

Cognition Analysis of Human Errors in ATC Based on HERA-JANUS Model

It was held that classification and analysis of human errors were a basis for ATM system human factors study.With the professional knowledge of ATM and cognitive psychology theory,the principle and flowchart of HERA-JANUS model developed by European Aviation Safety Agency and Federal Aviation Administration were introduced in detail in order to research controllers’ errors more systematically.An unsafe incident case of ATC in China was investigated by employing the model,and three human errors stumbled by a controller in this case were identified.These errors were classified from three respects,viz.human error type,human error cognition,and influencing factors,respectively.Twenty-one causal factors of human errors of the unsafe occurrence were ultimately obtained.The results show that the model can analyze controllers’ errors more comprehensively and its classification way is helpful in carring out statistics of controllers’ errors.