区域管制员认知过程风险分析方法研究

Risk Quantitative Analysis of En-route Controllers' Cognitive Process

空中交通管理系统是一个典型的高交互、高分布式和具备联合认知特性的复杂系统。在总结区域管制员日常工作任务基础上,考虑流程中的消息和协作模式,采用UML活动图刻画认知过程中各个活动之间的逻辑关系,提出利用BPMN语言的规范性,建立区域管制员"确定/更新MP"任务模型,结合事件树分析方法拓展BPMN模型,实现风险定量分析。结果表明,此方法通过对管制员认知过程的跟踪和训练,根据计算得出的风险值可以确定流程中影响安全的薄弱环节,为空管风险识别与分析提供支持。

Air traffic management system is the result of complex interactions and joint cognitive among human operators, procedures and technical systems.Based on the summary of the en-route controllers′daily work in which there are message flows and cooperation modes, the logical relations between the activities of the cognitive processes was made with the use of UML.And, take advantage of the specification of BPMN, a cognitive model of confir-ming/updating MP process was built.Then, in order to realize the risk analysis quantitatively, the BPMN model was extended by combining with event tree analysis.The results show that this method can find out the safety weak-ness in process by analysis the risk value, which provides support for risk identification and analysis of ATM.