摘要
为掌握管制员差错行为规律,利用TRACEr-SHEL模型对影响管制员差错行为的内、外因素进行分析,采用社会网络分析法(SNA)构建影响因素网络模型,计算各影响因素的中心性指标,确定各影响因素之间的关联关系,识别导致管制员差错的关键影响因素。研究结果表明:协调指挥差错、监视识别差错、通信差错、使用设备工具差错是管制员外部差错基本类型;感知混淆、警觉性失效、注意力分散等是影响管制员差错的内部因素,设备故障、仪表显示不友好、操作不便利等是影响管制员差错的外部因素。感知与警觉性、注意力、记忆、工作场所环境等因素中心性指标均位于网络模型的前30%,其是管制员差错行为的核心影响因素。研究结果可为减少管制员差错行为、提高管制过程的可靠性提供依据。
In order to grasp the law of controllers’error behavior and manage it effectively,the TRACEr-SHEL model was used to analyze the internal and external factors influencing the error behavior of controllers,and the social network analysis(SNA)was used to construct the network model of influencing factors.The centrality index of each influencing factor was calculated,then the correlation between each influencing factor was determined,and the key influencing factors that lead to controller errors were identified.The results show that the coordination and command errors,surveillance and identification errors,communication errors,and errors in the use of equipment and tools are the basic types of controllers’external errors.The perception confusion,alertness failure,and attention distraction are the internal factors affecting controller errors,and the equipment fault,unfriendly instrument displays,and inconvenient operation are the external factors affecting controller errors.The centrality indexes of perception and alertness,attention,memory,and workplace environment are all in the top 30%of the network model,and they are the core influencing factors of the controllers’error behavior.The results can provide a basis for reducing the error behavior of controllers and improving the reliability of control process.
作者
王永刚
马文婷
WANG Yonggang;MA Wenting(College of Safety Science&Engineering,Civil Aviation University of China,Tianjin 300300,China)
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2023年第12期193-199,共7页
Journal of Safety Science and Technology
基金
中国民航局安全能力项目(ASSA2021)。