系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (5): 1102-1108.doi: 10.3969/j.issn.1001-506X.2020.05.17

• 系统工程 • 上一篇    下一篇

基于区域毁伤的基础设施网络抗毁性评估模型

王珂1(), 田来1(), 吴俊2,*()   

  1. 1. 陆军工程大学通信士官学校通信指挥系, 重庆 400035
    2. 国防科技大学系统工程学院, 湖南 长沙 410073
  • 收稿日期:2019-05-21 出版日期:2020-04-30 发布日期:2020-04-30
  • 通讯作者: 吴俊 E-mail:wangke-lc@foxmail.com;179421768@qq.com;wujunpla@hotmail.com
  • 作者简介:王珂(1990-),男,讲师,硕士,主要研究方向为复杂网络可靠性与抗毁性。E-mail:wangke-lc@foxmail.com|田来(1983-),男,讲师,博士研究生,主要研究方向为信息资源管理、通信网络可靠性。E-mail:179421768@qq.com
  • 基金资助:
    国家自然科学基金(71871217);湖南省自然科学基金(2019JJ20019)

Survivability assessing model of infrastructure networks based on regional damages

Ke WANG1(), Lai TIAN1(), Jun WU2,*()   

  1. 1. Communication Command Department Communication, Non-commissioned Officers Academy, Army Engineering University, Chongqing 400035, China
    2. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2019-05-21 Online:2020-04-30 Published:2020-04-30
  • Contact: Jun WU E-mail:wangke-lc@foxmail.com;179421768@qq.com;wujunpla@hotmail.com
  • Supported by:
    国家自然科学基金(71871217);湖南省自然科学基金(2019JJ20019)

摘要:

基础设施网络对国家经济、人民生活和社会安全具有重要意义,为了能够准确迅速地评估基础设施网络面对物理攻击或自然灾害时的抗毁性,提出了基于区域毁伤的基础设施网络抗毁性评估模型。该模型将网络的边均分成虚拟节点,提出加权聚类算法寻找关键区域,使用归一化方法平衡网络规模和网络地理覆盖范围对评估结果的影响,算法复杂度低,运算量小,模型应用范围广,便于多个网络之间或同一网络不同规划方案的抗毁性比较。以智利电力输送网络为例,设计多组实验对评估模型进行检验,并给出可视化结果和分析。

关键词: 基础设施网络, 区域毁伤, 抗毁性评估, 虚拟节点, 加权聚类算法, 电力输送网

Abstract:

The infrastructure networks are of great significance to the national economy, people's livelihood and social security. In order to assess network survivability under the physical attacks and disasters, the evaluation model of network survivability based on the regional damages is provided. The model divides the edges of network into virtual nodes, and a weighted clustering algorithm is proposed to find critical areas of the network. Normalization method is used to suppress the influence of network size and area on the assessment result. The model is of less complexity, requires less calculation and is convenient for various networks or the same network with different designs comparing. Chile electric power grid is used as experimental data to test the evaluation model and provide visualization results and analysis.

Key words: infrastructure network, regional damage, evaluation model of survivability, virtual node, weighted clustering algorithm, electric power grid

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