In a chemical material network, a small fault is easy to spread and cause serious consequences, which is the embodiment of a complex network cascading fault. In order to ensure the safety and stability of chemical production, it is necessary to study the cascading fault propagation of a chemical material network. Firstly, the chemical material network model is constructed, and the SR algorithm is used to identify the important nodes in the network, which is the basis for selecting attack nodes. Secondly, the fault propagation strength is defined by the fault propagation probability and material hazard degree. The fault propagation probability is calculated by constructing the load cascading fault model of nodes. Based on the rough set theory and analytic hierarchy process (AHP), the index weights of flammability and explosiveness, toxicity, and corrosiveness are calculated to get the material hazard degree. Finally, based on the fault propagation strength, the risk propagation path of cascading fault is obtained by the ant colony algorithm. The case analysis shows that the proposed method can find the risk propagation path of cascading faults in material networks in the chemical production process, which provides certain basis for cascading fault prevention, selection of key monitoring variables, and risk assessment.

中文翻译：

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基于复杂网络的化工材料网络级联故障风险传播路径的确定

在化学材料网络中，小的故障易于传播并造成严重的后果，这是复杂的网络级联故障的体现。为了保证化学生产的安全性和稳定性，有必要研究化学材料网络的级联故障传播。首先，建立化学物质网络模型，并采用SR算法识别网络中的重要节点，这是选择攻击节点的基础。其次，断层的传播强度由断层的传播概率和材料的危害程度来定义。通过构造节点的负载级联故障模型来计算故障传播概率。基于粗糙集理论和层次分析法（AHP），可燃性和爆炸性，毒性，计算出腐蚀性和腐蚀性即可得出材料的危险程度。最后，基于故障传播强度，通过蚁群算法得到级联故障的风险传播路径。实例分析表明，该方法能够在化工生产过程中找到材料网络中级联故障的风险传播路径，为级联故障的预防，关键监测变量的选择和风险评估提供一定的依据。