关键基础设施建模的核心视图

D. Ward, V. Matuzienė
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引用次数: 2

摘要

讨论从网络和部门基础设施的概念开始,参考最近的理事会指令2008-114-EC,该指令是确定欧洲关键基础设施的基础。然后考虑两个任意但相互依赖的基础设施(发电站和水厂),它们构成核心网络的基础,然后在四种不同的中断情况下(没有恢复)进行分析。因此,内核网络将一个仅由两个节点和两条边组成的单体或基本架构理想化,目的是说明内核的一些基本特征,并了解在中断的情况下会发生什么,以及这种情况如何传播并产生后续的级联效应。本文首先采用教学和准备方法,然后通过说明使用Mathworks (MATLAB, Simulink和Stateflow)的三个模块建模的相同内核来进行更详细和复杂的建模。随后,在网络建模的背景下,引入了模糊和模糊认知图的概念并进行了讨论。讨论结束于内核网络的可能发展,以及可以利用哪些工具来模拟更复杂的情况并成功地解决由此产生的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A kernel view of critical infrastructure modelling
The discussion starts with the concepts of networks and sectoral infrastructures making reference to the recent Council Directive 2008-114-EC which is the basis for the identification of European critical infrastructures. Two arbitrary but interdependent infrastructures are then considered (power station and water works) which form the basis of kernel network that is then subsequently analysed under four different cases of disruption (without recovery). The kernel network therefore idealises a monolith or basic architecture consisting of just two nodes and two edges with the intent to illustrate some of the basic characteristics of the kernel as well as understand what happens in the event of a disruption and how this might propagate with consequent cascading effects. The paper begins by taking primarily a didactic and preparatory approach and then progresses into more detailed and complex modelling by illustrating the same kernel modelled using three modules by Mathworks (MATLAB, Simulink and Stateflow). Later the concepts of fuzziness and fuzzy cognitive maps are introduced and discussed in the context of network modelling. The discussion closes with possible developments of the kernel network and what tools may be exploited to model more complex situations and successfully tackle the resulting challenges.
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