基于改进的HFACS机坪保障车辆不安全事件的灰色关联分析

发布时间：2018-05-07 15:37

本文选题：改进的HFACS + 机坪保障车辆　；参考：《安全与环境工程》2014年02期

【摘要】：为了减少机坪保障车辆的不安全事件,本文在分析某机场近7年机坪保障车辆的不安全事件的基础上,对影响保障车辆不安全事件的人为因素进行了系统研究,并运用HFACS理论,构建了一种改进的适合分析机坪保障车辆不安全事件的HFACS差错模型成因分类框架;同时,鉴于保障车辆不安全事件统计数据较少、原因划分模糊等特点,选择灰色关联分析法,以驾驶差错为例,对驾驶差错与差错成因之间的关系进行了分析,计算了机坪保障车辆不安全事件成因的关联度,确定了机坪保障车辆事故各成因的重要程度,并得出影响驾驶差错的主要成因排序为:问题未纠正彻底、监督违规、培训不足、排班不合理、机坪噪音大、车辆服务的顺序发生变化等;最后提出了有针对性的控制措施,对加强机场的安全管理工作具有重要的意义。
[Abstract]:In order to reduce the unsafe events of the plane support vehicles, this paper systematically studies the human factors that affect the insecurity events of the vehicles on the basis of the analysis of the unsafe events of the insecurity vehicles in the airport for the last 7 years, and uses the HFACS theory to construct an improved HFAC which is suitable for the analysis of the unsafe events of the vehicle. S error model genetic classification framework; at the same time, in view of the characteristics of less statistical data and fuzzy reasons for ensuring vehicle insecurity events, the grey correlation analysis method is selected. Taking driving error as an example, the relationship between the driving errors and the causes of errors is analyzed, and the correlation degree of the cause of the unsafe event of the machine platform is calculated, and the correlation degree is calculated. The main causes of the cause of the accident are: the problem has not been corrected thoroughly, the supervision is not complete, the training is not enough, the scheduling is unreasonable, the noise of the plane is great, the order of the service of the vehicle is changed, and so on. Finally, the pertinent control measures are put forward to strengthen the safety management of the airport. It is of great significance to do it.

【作者单位】：中国民航大学安全科学与工程学院;中铁十六局集团北京轨道交通工程建设有限公司;
【分类号】：U492.8

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