基于本体的机场跑道侵入智能违规诊断研究  

Ontology-based research on intelligent violation diagnosis of airport runway incursion

作　　者：王洁宁[1] 赵晓鹏[1] 

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：《计算机应用研究》2017年第3期791-794,共4页Application Research of Computers

基　　金：国家重点研发计划资助项目(2016YFB0502401);国家空管科研课题(GKG201410003);中央高校基本科研业务费专项资金资助项目(3122013P008;3122014D040)

摘　　要：为保证机场场面运行安全,从知识建模角度出发,提出智能信息处理方法诊断违规项目,使用SWRL、领域本体等技术构建跑道侵入违规诊断系统的本体模型。研究了将跑道侵入案例用语义规则形式化表示的方法,构建推理规则得出违规项目和硬件预防措施。结果表明,提出的结合本体和SWRL推理技术的方法较传统方法准确率更高,性能更佳。In order to ensure the safe operation of the airport surface,this paper proposed an intelligent information processing method to diagnosis violation items,and built an ontology model of runway incursion violation diagnosis system,which used SWRL and domain ontology technology from the perspective of knowledge modeling. Also,this paper made a research on the method of describing runway incursion cases with formalized sematic rules,and constructed reasoning rules to capture violation items and obtain hardware preventive measures. The results show that the proposed method which combined domain ontology with SWRL technology has better analysis accuracy and reasoning performance than the traditional methods.

关 键 词：跑道侵入 违规诊断系统 知识建模 SWRL 领域本体 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]