摘要
为分析识别空中交通管制任务中管制差错问题,结合BL(body loop,BL)压力产生模型研究管制员压力来源。提出领域本体的建模流程,确立推理模型的内部逻辑关系,构建管制差错领域本体模型。采用FaCT++推理机针对实际案例进行语义推理,从而识别管制差错类型,提出了基于本体的管制差错专家系统的系统框架。结果验证了构建推理模型的有效性和合理性。
To analysis and identify ATC errors in air traffic control task,the stress source of air traffic con-trollers is studied via BL model. Meanwhile, this paper proposes modeling process of domain ontology and establishes the internal logical relationship of reasoning model and constructs domain ontology model of ATC errors. Using FaCT ++ inference machine to semanticlly reason actual cases,the type of ATC errors is identificated. Also,system framework of ontology - based expert system for ATC errors is presented. Re-sults show that constructing reasoning model is valid and reasonable.
出处
《航空计算技术》
2017年第4期30-33,共4页
Aeronautical Computing Technique
基金
国家重点研发计划项目资助(2016YFB0502401)
国家空管科研课题项目资助(GKG201410003)
中央高校基本科研业务费专项资金项目资助(3122014D040
3122017062)
关键词
空中交通管制
管制差错
BL
领域本体
语义推理
air traffic control
ATC errors
BL
domain ontology
semanticlly reasoning