【摘要】：為保證機場場面運行安全,從知識建模角度出發(fā),提出智能信息處理方法診斷違規(guī)項目,使用SWRL、領域本體等技術構(gòu)建跑道侵入違規(guī)診斷系統(tǒng)的本體模型。研究了將跑道侵入案例用語義規(guī)則形式化表示的方法,構(gòu)建推理規(guī)則得出違規(guī)項目和硬件預防措施。結(jié)果表明,提出的結(jié)合本體和SWRL推理技術的方法較傳統(tǒng)方法準確率更高,性能更佳。
[Abstract]:In order to ensure the safety of airport scene, from the point of view of knowledge modeling, an intelligent information processing method is proposed to diagnose violations. SWRL and domain ontology are used to construct the ontology model of runway intrusion violation diagnosis system. The formal representation of runway intrusion cases with semantic rules is studied, and the inference rules are constructed to obtain the items of violation and hardware prevention measures. The results show that the proposed method combining ontology with SWRL reasoning technology has higher accuracy and better performance than the traditional method.
【作者單位】： 中國民航大學天津市空管運行規(guī)劃與安全技術重點實驗室;
【基金】：國家重點研發(fā)計劃資助項目(2016YFB0502401) 國家空管科研課題(GKG201410003) 中央高�；究蒲袠I(yè)務費專項資金資助項目(3122013P008,3122014D040)
【分類號】：TP391.1
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本文編號：2178593