【摘要】：為保證機(jī)場(chǎng)場(chǎng)面運(yùn)行安全,從知識(shí)建模角度出發(fā),提出智能信息處理方法診斷違規(guī)項(xiàng)目,使用SWRL、領(lǐng)域本體等技術(shù)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(yǔ)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(xiàng)目和硬件預(yù)防措施。結(jié)果表明,提出的結(jié)合本體和SWRL推理技術(shù)的方法較傳統(tǒng)方法準(zhǔn)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(guó)民航大學(xué)天津市空管運(yùn)行規(guī)劃與安全技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家重點(diǎn)研發(fā)計(jì)劃資助項(xiàng)目(2016YFB0502401) 國(guó)家空管科研課題(GKG201410003) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助項(xiàng)目(3122013P008,3122014D040)
【分類號(hào)】：TP391.1
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本文編號(hào)：2178593