中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (9): 98-103.doi: 10.16265/j.cnki.issn1003-3033.2017.09.017

• 安全工程技术科学 • 上一篇    下一篇

空中交通管制员人因可靠性分析方法

袁乐平1 助理研究员, 张兴俭2 助理研究员   

  1. 1 中国民航大学 飞行技术学院,天津 300300
    2 中国民航大学 民航空管研究院,天津 300300
  • 收稿日期:2017-06-22 修回日期:2017-08-03 出版日期:2017-09-20 发布日期:2020-11-16
  • 基金资助:
    国家自然科学基金委员会-中国民用航空局民航联合研究基金资助(U1533117);国家重点研发计划(2016YFB0502405);中央高校基本科研业务费(3122016D034)。

Study on technique for human reliability analysis of air traffic controllers

YUAN Leping1, ZHANG Xingjian2   

  1. 1 College of Flight Technology, Civil Aviation University of China, Tianjin 300300,China
    2 Air Traffic Management Research Institute, Civil Aviation University of China, Tianjin 300300,China
  • Received:2017-06-22 Revised:2017-08-03 Online:2017-09-20 Published:2020-11-16

摘要: 为有效评价空中交通管制员作业可靠性,以人为差错评价和规避方法(HEART)为基础,开发面向管制员的人因可靠性分析(HRA)方法。首先分析管制员的工作任务,确定管制员通用任务场景(GTT);然后采用几何平均法、采样法对多源的基本人为差错概率(NHEP)进行融合;按照人-机-环-管的思路,结合已有方法的差错诱发条件(EPC)或绩效形成因子(PSF),综合确定管制员EPC,并结合德尔菲法,利用贝叶斯网络(BN)计算得到EPC的最大影响值;最后以管制员调配飞行冲突为例,运用文中所提方法计算人为差错概率(HEP)。结果表明:与传统单纯使用HEART方法和认知可靠性差错分析方法(CREAM)的计算结果相比,文中所提计算结果更为合理。

关键词: 空中交通管制员, 人因可靠性分析(HRA), 差错诱发条件(EPC), 人为差错评价和规避方法(HEART), 通用任务场景(GTT), 贝叶斯网络(BN)

Abstract: For the purpose of effective assessment of human reliability of air traffic controllers, a HRA technique tailored for air traffic controllers operation was developed based on HEART. GTTs were determined by going through the controller's daily tasks. Using the geometric mean method and sampling method, the nominal human error probabilities were calculated by processing the data from multi-sauces. EPCs were structured by following the idea of "4M" (Human-Machine-Media-Management), and EPCs were also referred to existing HRA methods EPC or performance shaping factors(PSF). The maximum impact values of EPCs were obtained by the Delphi method and the BN. The controllers' human error probability(HEP) in the scenario of air traffic de-conflict was analyzed by applying the method proposed in the paper. The result is between that by the traditional HEART and that by the traditional cognitive reliability and error analysis method (CREAM), which demonstrates the validity of the method.

Key words: air traffic controller, human reliability analysis(HRA), error producing conditions (EPC), human error assessment and reduction technique(HEART), generic task type (GTT), Bayesian networks (BN)

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