本文選題：跑道侵入　切入點(diǎn)：領(lǐng)域本體　出處：《中國(guó)民航大學(xué)》2017年碩士論文

【摘要】：航班周轉(zhuǎn)量持續(xù)增加,雙跑道甚至多跑道機(jī)場(chǎng)的數(shù)量也隨之逐年增長(zhǎng),民航系統(tǒng)的高運(yùn)輸量運(yùn)行使得跑道侵入風(fēng)險(xiǎn)對(duì)機(jī)場(chǎng)場(chǎng)面運(yùn)行安全的影響日益凸顯,跑道侵入嚴(yán)重壓縮了航空器的安全裕度。為了提升跑道侵入預(yù)防的智能化、自動(dòng)化水平,提高機(jī)場(chǎng)跑道運(yùn)行安全保障能力,提出了基于本體以及語(yǔ)義Web規(guī)則語(yǔ)言(Semantic Web Rule Language,SWRL)的形式化建模方法,開展跑道侵入嚴(yán)重事故征候智能診斷方法研究。通過(guò)分析人工智能領(lǐng)域中本體及規(guī)則推理的研究現(xiàn)狀及主要特點(diǎn),提出了針對(duì)跑道侵入防護(hù)的領(lǐng)域本體一般建模步驟。開展領(lǐng)域概念層次等級(jí)劃分,構(gòu)建領(lǐng)域本體模型,定義基于專家經(jīng)驗(yàn)的SWRL規(guī)則。結(jié)合開發(fā)的本體模型以及SWRL規(guī)則,設(shè)計(jì)了面向跑道侵入防護(hù)的智能診斷系統(tǒng)的框架模型。應(yīng)用Pellet推理機(jī)分析實(shí)際案例,獲得推理結(jié)果以及對(duì)應(yīng)措施�；谒岢隼碚摵头椒�,設(shè)計(jì)并實(shí)現(xiàn)了機(jī)場(chǎng)安全熱點(diǎn)等級(jí)劃分、跑道侵入嚴(yán)重事故征候違規(guī)診斷以及軍民航防跑道侵入等方面的智能診斷工具。針對(duì)實(shí)際案例進(jìn)行分析推理,驗(yàn)證了基于本體和規(guī)則推理的知識(shí)檢索推理能力,為民航機(jī)場(chǎng)場(chǎng)面運(yùn)行安全管理中人工智能的應(yīng)用奠定了基礎(chǔ)。
[Abstract]:With the continuous increase of flight turnover, the number of double-runway and even multi-runway airports also increases year by year. The high traffic volume of civil aviation system makes the impact of runway intrusion risk on the security of airport scene increasingly prominent. Runway intrusion seriously compresses the safety margin of aircraft. In order to enhance the intelligence and automation level of runway intrusion prevention and improve the ability of airport runway operation security, A formal modeling method based on ontology and semantic Web Rule language (SWRL) is proposed. The research on intelligent diagnosis method of runway intrusive serious accident symptom is carried out. The present situation and main characteristics of ontology and rule reasoning in artificial intelligence field are analyzed. In this paper, the general modeling steps of domain ontology for runway intrusion prevention are put forward. The hierarchical classification of domain concepts is carried out, the domain ontology model is constructed, the SWRL rules based on expert experience are defined, and the ontology model and SWRL rules are developed. The frame model of intelligent diagnosis system for runway intrusion protection is designed. The Pellet reasoning machine is used to analyze the actual cases, and the reasoning results and corresponding measures are obtained. This paper designs and implements intelligent diagnostic tools in the aspects of airport security hot spot classification, runway intrusion and serious accident diagnosis, military civil aviation anti-runway intrusion, and so on. The actual cases are analyzed and reasoned. The reasoning ability of knowledge retrieval based on ontology and rule reasoning is verified, which lays a foundation for the application of artificial intelligence in the security management of civil aviation airport scene operation.
【學(xué)位授予單位】：中國(guó)民航大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：V328;V355.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 田潔;周沅;;基于跑道侵入場(chǎng)景仿真的危險(xiǎn)分析方法[J];中國(guó)安全科學(xué)學(xué)報(bào);2016年06期

2 喬立紅;朱怡心;ANWER Nabil;;幾何增強(qiáng)的裝配工藝本體建模[J];機(jī)械工程學(xué)報(bào);2015年22期

3 王潔寧;周沅;黃俊祥;;基于本體的陸空通信風(fēng)險(xiǎn)識(shí)別與分析方法[J];南京航空航天大學(xué)學(xué)報(bào);2015年04期

4 劉欣;姜韶華;李忠富;;基于本體的建筑工程質(zhì)量通病診斷方法[J];土木工程與管理學(xué)報(bào);2015年02期

5 鄧川;陳小虎;夏杰;姚春江;;某大型特種工程車液壓系統(tǒng)故障本體構(gòu)建[J];液壓與氣動(dòng);2015年04期

6 夏正洪;潘衛(wèi)軍;康瑞;羅小林;;機(jī)場(chǎng)沖突熱點(diǎn)識(shí)別與等級(jí)劃分方法研究[J];科學(xué)技術(shù)與工程;2014年21期

7 張巍;張絢;陳俊杰;;基于本體的高血壓診療系統(tǒng)推理模型研究[J];計(jì)算機(jī)工程與設(shè)計(jì);2013年11期

8 唐亮;聶武洋;劉勇;;基于本體的艦船火災(zāi)損管推理系統(tǒng)研究[J];船海工程;2013年04期

9 霍志勤;韓松臣;;基于案例推理和規(guī)則推理融合的跑道侵入事件調(diào)查[J];中國(guó)安全科學(xué)學(xué)報(bào);2012年07期

10 ;Constructing the Ontology for Modeling the Fish Production in Pearl River Basin[J];Journal of Integrative Agriculture;2012年05期

相關(guān)碩士學(xué)位論文 前1條

1 錢凌;一個(gè)基于本體和規(guī)則推理的查詢系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];東南大學(xué);2006年

，

本文編號(hào)：1660743