本体驱动的飞行间隔危险指数模糊推理方法  

Fuzzy Reasoning Method of Flight Interval Risk Index Driven by Ontology

作　　者：孙禾[1] SUN He(College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学空中交通管理学院,天津300300

出　　处：《航空计算技术》2021年第1期55-59,共5页Aeronautical Computing Technique

基　　金：国家重点研发计划项目资助(2016YFB0502401);中央高校基本科研业务费中国民航大学专项项目资助(3122019133);中国民航大学实验技术创新基金项目资助(2019CXJJ11)。

摘　　要：为了防止航空器之间危险接近的发生,针对飞行间隔危险指数评估方法只是线性相加,没有更多体现危险的累积特点和相对性,提出了本体驱动的模糊推理综合评价方法。从语义的角度建立飞行间隔危险指数评估本体模型,以明确研究的边界和维度;对本体模型进行实例化,并量化具体指标范围;建立模糊推理系统,输入1440条模糊规则,采用双高斯隶属函数得到综合危险指数;对比各个要素对于危险指数的作用以及各要素之间的关系,通过数据验证结果的合理性。实验结果表明,评价方法将绝对的线性指数转化为概率型的模糊指数,体现了危险由量变到质变的过程。更加符合人的主观判断,可以为各类安全管理人员提供一种有效的安全评估工具。In order to prevent the occurrence of dangerous approaching between aircrafts,the fuzzy reasoning comprehensive evaluation method driven by ontology is proposed for the evaluation method of flight interval risk index,which is only linear addition and does not reflect the cumulative characteristics and relativity of risks.Firstly,from the semantic point of view,the ontology model of flight interval risk index evaluation is established to clarify the research boundary and dimension;secondly,the ontology model is instantiated and the specific index range is quantified;thirdly,the fuzzy reasoning system is established,and 1440 fuzzy rules are input,and the comprehensive risk index is obtained by using double Gaussian membership function;finally,the performance of each element on the risk index is compared and the rationality of the results is verified by data.The experimental results show that the evaluation method transforms the absolute linear index into the probability fuzzy index,which reflects the process of risk change from quantity to quality.It is more in line with people's subjective judgment and can provide an effective safety assessment tool for all kinds of safety managers.

关 键 词：空中交通管制 飞行间隔 危险指数 模糊推理 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]