基于本体的空管人为差错分析研究与应用  

Research and application of ATM human error analysis based on ontology

作　　者：王洁宁 倪端瑞 

机构地区：[1]中国民航大学天津市空管运行规划与安全技术重点实验室,天津300300

出　　处：《计算机工程与设计》2018年第1期276-281,共6页Computer Engineering and Design

基　　金：国家重点研发计划基金项目(2016YFB0502401);国家空管科研课题基金项目(GKG201410003);中央高校基本科研业务费专项资金基金项目(3122013P008)

摘　　要：为实现空管人为差错致因及危险等级语义分析,开发人为差错本体分析软件。通过空管运行人为差错(HeraJanus)及人为差错预测(Hera-Predict)手册中获取的领域知识构建领域本体;结合事故调查报告知识创建存储本体,建立Hera-Janus本体知识库,根据类与个体之间的关系定义Jena推理规则。通过Eclipse平台中的Jena应用调用Pellet推理机分析实际案例,在人机交互界面给出差错类型及危险程度,其结果表明了空管事故智能化分析的有效性和可行性。To semantically analyze the cause of human error and the degree of hazard levels,a software based on ontology for human error analysis was developed.The domain knowledge gained from the manuals of Hera-Janus and Hera-Predict was used to construct the domain ontology.Accident investigation report knowledge was used to create the storage ontology.The Hera-Janus ontology knowledge base was built and the Jena inference rules were defined according to the relationship between the class and the individual.The Pellet inference engine was used to analyze a real case through the Jena application in the Eclipse platform,the error type and the degree of hazard levels were given in the human-computer interaction interface.The results show that the intelligent analysis of air traffic accident is effective and feasible.

关 键 词：危险等级划分 本体 空管运行人为差错(human ERROR in ATM technique Hera-Janus) Jena规则推理 Pellet推理机 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]