Cascade failure modeling and resilience analysis of mine cyber physical systems under deliberate attacks

IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Xinping Wang , Jialin Zhu , Chang Su , Xinyue Zhen
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Abstract

Guided by the intelligent construction of coal mines and integrating the concept of the Cyber-Physical System (CPS), a novel approach to a coal mine information-physical fusion system is proposed. This concept emerges from the advancement of intelligent mines and the growing need for enhanced safety in coal mine operations. From a system safety perspective, this approach aims to effectively evaluate security issues by better integrating the informational and physical layers of intelligent mines. Currently, research in areas such as power grids and water networks has widely adopted concepts of cascade failures and robustness. It is suggested that the CPS framework be adapted to the mining sector. Considering the critical role of coal mines in China's energy security and their vulnerability to cyber attacks, a mine-specific CPS system is designed. This system incorporates a model of mine information-physical fusion, including networks for mine operations, management, and control, tailored to the unique conditions of mine shafts and underground settings. Utilizing Markov process theory, the paper delves into the theoretical study of the cascade failure process under deliberate attack strategies. This analysis is essential to effectively assess the safety issues within the information-physical system, providing vital support for fault prediction and safety analysis. The model of cascading failures in the mine information-physical system is developed, and based on an analysis of resilience and robustness, the study identifies key factors influencing the security of mine information-physical systems. Critical factors affecting the reliability of these systems include the number of system nodes, node coupling, edge count, and the interconnection methods of the dual-layer dependency network. The paper concludes by discussing the challenges in analyzing the security of information-physical systems and suggesting directions for future research.

矿山网络物理系统在蓄意攻击下的级联故障建模和复原力分析
在煤矿智能化建设的指导下,结合网络物理系统(CPS)的概念,提出了一种煤矿信息物理融合系统的新方法。这一概念源于智能矿井的发展和对加强煤矿运营安全日益增长的需求。从系统安全的角度来看,这种方法旨在通过更好地整合智能矿井的信息层和物理层,有效评估安全问题。目前,电网和水网等领域的研究已广泛采用级联故障和鲁棒性概念。建议将 CPS 框架应用于采矿领域。考虑到煤矿在中国能源安全中的关键作用及其易受网络攻击的脆弱性,本文设计了煤矿专用的 CPS 系统。该系统结合了矿井信息物理融合模型,包括矿井运营、管理和控制网络,适合矿井和地下环境的独特条件。本文利用马尔可夫过程理论,对蓄意攻击策略下的级联失效过程进行了深入的理论研究。这种分析对于有效评估信息物理系统内的安全问题至关重要,可为故障预测和安全分析提供重要支持。本研究建立了矿山信息物理系统级联故障模型,并在分析复原力和稳健性的基础上,确定了影响矿山信息物理系统安全的关键因素。影响这些系统可靠性的关键因素包括系统节点数量、节点耦合、边缘数量以及双层依赖网络的互连方法。论文最后讨论了分析信息物理系统安全所面临的挑战,并提出了未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
安全科学与韧性(英文)
安全科学与韧性(英文) Management Science and Operations Research, Safety, Risk, Reliability and Quality, Safety Research
CiteScore
8.70
自引率
0.00%
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0
审稿时长
72 days
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