空中交通管制员疲劳综合评价量化研究

发布时间：2018-05-05 05:32

本文选题：管制员 + 疲劳　；参考：《中国民用航空飞行学院》2016年硕士论文

【摘要】：民航空中交通管制员的职责是防止航空器相撞,保障空中交通顺畅和高速运营。国内外研究表明,至少有70%空管人为差错事件直接或间接由疲劳导致,并有研究指出管制员疲劳工作的趋势将随着民航业的快速发展进一步加大。管制员疲劳问题,业已成为当前国内外人为因素领域研究的热点问题。对管制员的疲劳状况进行综合量化评价,可以为控制和缓解管制员疲劳提供有效依据。本文构建了疲劳致因因素关系图和管制员疲劳控制策略,建立了管制员疲劳评价指标体系,构建了基于层次分析法和决策实验室分析法组合权重的管制员疲劳灰色关联分析法综合评价模型,并对模型进行了验证分析。首先,对管制员疲劳评价的研究背景与意义作了详细介绍,并对国内外近些年人体疲劳的研究现状进行了文献综述,主要阐述了疲劳的影响因素、症状与表现和现有疲劳的监测方法及其优缺点,为后续研究奠定基础。其次,运用SHEL模型,对管制员疲劳的影响因素进行了系统分析,并构建出管制员疲劳致因因素关系图和疲劳控制策略。第三,运用文献分析法对管制员疲劳评价指标进行初步搜集,用访谈法对指标进行再次筛选,通过问卷调查对指标作最终筛选。对收集问卷进行收集数信度检验,构建管制员疲劳评价指标体系；在构建指标体系的基础上,考虑到指标间的关联性,运用决策实验室分析法对层次分析法确定的初始权重进行修正,构建了基于组合权重的管制员疲劳灰色关联综合评价模型。最后,通过具体实例对所构建的模型的有效性和实用性进行了验证,针对评价结果作了相应分析,采用决策实验室分析法对指标因素进行详细分析,并提出了相关的缓解策略。
[Abstract]:Civil aviation air traffic controllers are responsible for preventing aircraft collisions and ensuring smooth and high-speed air traffic. Studies at home and abroad show that at least 70% of air traffic control human error events are directly or indirectly caused by fatigue, and it is pointed out that the trend of fatigue work of controllers will further increase with the rapid development of civil aviation industry. The problem of controller fatigue has become a hot issue in the field of human factors at home and abroad. The comprehensive quantitative evaluation of controller fatigue can provide an effective basis for controlling and alleviating controller fatigue. In this paper, the fatigue cause factor diagram and controller fatigue control strategy are constructed, and the controller fatigue evaluation index system is established. A comprehensive evaluation model of controller fatigue grey relational analysis based on the combined weight of analytic hierarchy process and decision laboratory analysis is constructed, and the model is verified and analyzed. First of all, the research background and significance of controller fatigue evaluation are introduced in detail, and the research status of human fatigue at home and abroad in recent years is reviewed, and the influencing factors of fatigue are discussed. Symptoms and manifestations, existing fatigue monitoring methods and their advantages and disadvantages lay a foundation for further research. Secondly, using SHEL model, the influencing factors of controller fatigue are systematically analyzed, and the relationship diagram of controller fatigue cause factors and fatigue control strategy are constructed. Thirdly, using the literature analysis method to collect the index of controller fatigue evaluation, using the method of interview to screen the index again, through the questionnaire survey to make the final selection of the index. The reliability of collecting questionnaire was tested to construct the index system of controller fatigue evaluation, and based on the construction of index system, the relevance of indicators was considered. The decision laboratory analysis method is used to modify the initial weight determined by AHP, and a comprehensive evaluation model of controller fatigue grey correlation based on combined weight is constructed. Finally, the validity and practicability of the model are verified by a concrete example, and the evaluation results are analyzed accordingly, and the index factors are analyzed in detail by using the decision laboratory analysis method, and the relevant mitigation strategies are put forward.
【学位授予单位】：中国民用航空飞行学院
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：V355.1

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