|本期目录/Table of Contents|

[1]王兴隆,周督异.基于复杂网络的飞行区冲突关键栅格区识别*[J].中国安全生产科学技术,2023,19(8):32-38.[doi:10.11731/j.issn.1673-193x.2023.08.005]
　WANG Xinglong,ZHOU Duyi.Identification of critical grid areas in flight area conflicts based on complex network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(8):32-38.[doi:10.11731/j.issn.1673-193x.2023.08.005]
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基于复杂网络的飞行区冲突关键栅格区识别*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
19
期数:
2023年8期
页码:
32-38
栏目:
学术论著
出版日期:
2023-08-31

文章信息/Info

Title:
Identification of critical grid areas in flight area conflicts based on complex network
文章编号:
1673-193X(2023)-08-0032-07
作者:
王兴隆; 周督异
（中国民航大学 民航飞联网重点实验室，天津 300300）
Author(s):
WANG Xinglong;  ZHOU Duyi
(Key Laboratory of Civil Aviation Flight Networking,Civil Aviation University of China,Tianjin 300300,China)
关键词:
复杂网络; 灰色综合分析; 飞行区栅格化; 冲突关键栅格区识别
Keywords:
complex network; grey comprehensive analysis; rasterization of flight area; conflict critical grid area identification
分类号:
X949
DOI:
10.11731/j.issn.1673-193x.2023.08.005
文献标志码:
A
摘要:
为及时、精准监视机场飞行区活动目标间的冲突情况，提出1种基于复杂网络的飞行区冲突关键栅格区识别方法。首先，基于复杂网络理论建立飞行区冲突态势网络，选定7个指标评价网络节点和2个指标评价网络整体；然后，通过改进型GeoSOT飞行区网格对飞行区进行栅格化表征，进而建立灰色综合分析体系，对特征指标、活动目标、运行栅格区、关键栅格区识别、栅格区移除、网络状态、关键栅格区验证等步骤依次分析；最后，以某机场为实例，证明识别结果准确性及该研究体系有效性。研究结果表明：所提灰色综合分析体系可通过对比综合关联度大小有效识别出冲突关键栅格区，并能自行完成结果验证。研究结果可及时、准确监视冲突情况并预防冲突发生，对保障机场飞行区安全、高效运行具有一定参考意义。
Abstract:
In order to timely and accurately monitor the conflict between moving targets in the airport flight areas and prevent the accidents,a method for identifying the critical grid areas of flight area conflict based on complex network was proposed.Firstly,based on the complex network theory,a conflict situation network of flight area was established,thenseven indicators were selected to evaluate the network nodes,and two indicators were selected to evaluate the overall network.Secondly,the improved GeoSOT flight area grid was used to rasterize the flight area,and a grey comprehensive analysis system was established.The steps such as characteristic indicators,movingtargets,operational grid area,key grid area identification,grid area removal,network status and key grid area verification were analyzed in turn to prove the accuracy of identification and the effectiveness of the system.Finally,an airport was taken as an example for analysis.The results show that the grey comprehensive analysis system can effectively identify the key grid areas of conflict by comparing the magnitude of comprehensive correlation degree,and can independently complete the conclusion verification.The results can timely monitor the conflict situationand prevent the conflicts,and have certain reference significance for ensuring the safe and efficient operation of the airport flight area.

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备注/Memo

备注/Memo:
收稿日期： 2023-03-28
* 基金项目： 国家自然科学基金项目(62173332，U2133207)
作者简介： 王兴隆，硕士，研究员，主要研究方向为飞行区运行安全与风险识别。
通信作者： 周督异，硕士研究生，主要研究方向为飞行区冲突风险识别。
更新日期/Last Update: 2023-09-07