中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (2): 49-56.doi: 10.16265/j.cnki.issn1003-3033.2025.02.0623

• 安全工程技术 • 上一篇    下一篇

机场飞行区CPS网络建模及韧性评估

王兴隆1(), 邱鑫1, 魏奕雯2   

  1. 1 中国民航大学 民航飞联网重点实验室,天津 300300
    2 中航西飞民用飞机有限责任公司,陕西 西安 710089
  • 收稿日期:2024-09-27 修回日期:2024-11-28 出版日期:2025-02-28
  • 作者简介:

    王兴隆 (1979—),男,黑龙江北安人,硕士,研究员,主要从事复杂网络、安全韧性、民航飞联网等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(62173332); 国家自然科学基金资助(U2133207); 天津多元投入基金项目面上项目资助(21JCYBJC00700)

Modeling and resilience assessment of CPS network in airfield area

WANG Xinglong1(), QIU Xin1, Wei Yiwen2   

  1. 1 Key Laboratory of Internet of Aircrafts for civil aviation, Civil Aviation University of China, Tianjin 300300, China
    2 AVIC XAC Commercial Aircraft Co., Ltd., Xi'an Shaanxi 710089, China
  • Received:2024-09-27 Revised:2024-11-28 Published:2025-02-28

摘要:

为评估机场飞行区信息物理系统(CPS)的韧性,并为紧急情况下的快速恢复提供参考,以飞行区管制网为信息网,飞行区滑行路径网为物理网,构建精细化、实时化的机场飞行区CPS网络模型;以西安咸阳机场飞行区CPS为例,针对机场飞行区CPS网络,选取最大连通子图相对值计算网络的连通性,并结合鲁棒性、性能损失和综合韧性指标评估网络韧性;对比不同扰动-恢复策略下的机场飞行区CPS情况,以确定出最佳恢复策略。结果表明:介数扰动对管制网破坏最大,度值扰动对滑行路径网破坏最大;采用介数恢复能够使机场飞行区CPS韧性得到较快恢复;在随机扰动下,机场飞行区CPS网络展现出较高的韧性水平。

关键词: 机场飞行区, 信息物理系统(CPS), 管制网, 网络模型, 韧性评估, 介数扰动, 度值扰动, 最大连通子图相对值

Abstract:

In order to assess the resilience of CPS in airport flight areas and provide a reference for rapid recovery in emergencies, a refined and real-time airport flight area CPS network model with flight area control network as the information network and flight area taxi path network as the physical network was proposed. For CPS network in airfield areas, the connectivity of the network was calculated by selecting the relative values of the largest connected subgraphs. The network's resilience was evaluated by combining robustness, performance loss, and comprehensive resilience indicators. CPS situation in airfield areas under different disturbance recovery strategies was compared to determine the optimal recovery strategy. Taking Xi'an Xianyang Airport flight area CPS as an example, the results show that betweenness perturbation causes the greatest damage to the control network, while degree value perturbation causes the greatest damage to the taxiing path network. Using betweenness recovery can enable faster recovery of CPS resilience in airfield areas, and CPS network of the flight area of the airport shows a higher level of resilience under random perturbation. The research results can simulate and predict relevant nodes and provide certain reference significance for ensuring the safety of flight area operations.

Key words: airport flight zones, cyber-physical system (CPS), control network, network model, resilience assessment, betweeness perturbation, degree value perturbation, maximum connectivity subgraph relative values

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