空中交通CPS结构特性及韧性评估

王兴隆; 魏奕雯; 贺敏

doi:10.13700/j.bh.1001-5965.2022.0313

空中交通CPS结构特性及韧性评估

doi: 10.13700/j.bh.1001-5965.2022.0313

中国民航大学空中交通管理学院，天津 300300

基金项目: 国家自然科学基金(62173332) ；国家重点研发计划(2020YFB1600101)

详细信息

通讯作者:
E-mail：xl-wang@cauc.edu.cn

中图分类号: U8；V355.2
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- 文章访问数: 27
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- PDF下载量: 4
- 被引次数: 0
出版历程
- 收稿日期: 2022-05-03
- 录用日期: 2022-07-16
- 网络出版日期: 2022-07-19
- 整期出版日期: 2024-04-29

Structural characteristics and resilience evaluation of air traffic CPS

College of Air Traffic Control，Civil Aviation University of China，Tianjin 300300，China

Funds: National Natural Science Foundation of China (62173332); National key Research and Development Program of China (2020YFB1600101)

More Information

Corresponding author: E-mail：xl-wang@cauc.edu.cn

摘要

摘要:
针对空中交通体系结构复杂、耦合性强、脆弱性高的特点，为缓解因受扰导致的级联失效现象，对其结构韧性进行研究。建立了空中交通信息物理系统(CPS)模型，提出同层度与层间度、同层介数与层间介数等指标，分析级联失效过程；提出空中交通CPS韧性的概念，并采用定量评估方法对受损能力和恢复能力进行度量；对比不同扰动-恢复策略下的空中交通CPS表现，制定最佳恢复策略，提高受扰时的韧性。以华东地区空中交通CPS为例进行分析，结果表明：空中交通CPS网络度分布服从幂率分布，介数服从指数分布；在基于介数度值扰动下，采用介数恢复策略可以有效提高受扰时空中交通CPS的韧性。
- 信息物理系统 /
- 级联失效 /
- 扇区网络 /
- 航路网络 /
- 空中交通CPS韧性
Abstract:
An air traffic network is a multi-dimensional complex system, which becomes vulnerable due to the coupling relationship when disturbed. This research examines the structural resilience of the system to mitigate the cascading failures caused by disturbance. An air traffic cyber physical system (CPS) model is developed. The relevant indicators such as the intra-layer degree and inter-layer degree, and intra-layer betweenness and inter-layer betweenness are defined, and the cascading failure process is analyzed. The resilience of air traffic CPS is then proposed, and a quantitative assessment method is used to measure the system’s disturbance response and recovery capabilities. The performance of the air traffic CPS is compared under different perturbation-recovery strategies to improve its resilience when perturbed. The results show that the air traffic CPS network degree follows a power law distribution while the betweenness follows an exponential distribution. For both perturbation methods, betweenness recovery leads to fastest recovery of air traffic CPS performance.
- cyber physical system /
- cascading failure /
- sector network /
- air route network /
- air traffic CPS resilience

HTML全文

图 1 空中交通CPS示意图

Figure 1. Schematic diagram of air traffic CPS

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图 2 空中交通CPS级联失效示意图

Figure 2. Schematic of cascading failure process of air traffic CPS

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图 3 系统受损及韧性恢复过程曲线

Figure 3. Curve of system damage and resilience recovery

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图 4 韧性评估流程

Figure 4. Flow chart of resilience assessment

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图 5 华东地区空中交通CPS模型

Figure 5. Air traffic CPS model of East China

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图 6 度累积分布

Figure 6. Degree cumulative distribution

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图 7 介数累积分布

Figure 7. Betweenness cumulative distribution

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图 8 扇区网最大连通子图变化

Figure 8. Changes in maximal connected subgraph of sector network

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图 9 航路网最大连通子图变化

Figure 9. Changes in maximal connected subgraph of air route network

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图 10 空中交通CPS网络性能损失

Figure 10. Performance loss of air traffic CPS

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图 11 空中交通CPS韧性评价值

Figure 11. General resilience of air traffic CPS

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