Determination of the risk propagation path of cascading faults in chemical material networks based on complex networks

Abstract

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

Cascading failure invulnerability analysis of chemical material network considering failure propagation capability

“…In order to calculate the influence of various properties of chemicals on chemical systems, [ 26 ] this paper uses the following methods: A knowledge representation (information) system Y can be represented as an ordered quaternion: Y = { U , R , V , f }, here U = { E 1 , E 2 , …, E t } is the set of all chemicals, and E i is the chemical with the same score; R = { r 1 , r 2 , r 3 } is the set of attributes. The materials involved in this paper have flammable and explosive r 1 , toxic r 2 , and corrosive r 3 , which are scored by the properties of chemicals.…”

“…In order to calculate the influence of various properties of chemicals on chemical systems, [26] this paper uses the following methods:…”

“…When the nonlinear cascading failure model is used to analyze the invulnerability of the network in the above literature, due to the influence of the network size and characteristics, the load of the fault node is transferred to its adjacent nodes through the allocation strategy, ignoring the fault propagation strength of the edge. [ 26 ] The load propagation amount of the failed node will directly affect whether the adjacent nodes fail. [ 27 ] The cascading failure model of the chemical material network should meet the following requirements: first, the model should be nonlinear; Moreover, there are different types of chemicals at each edge of the chemical material network.…”

Robustness analysis of chemical process systems based on complex network non‐linear load capacity model

“…Dong and Cui [ 8 ] established the CASCADE model for the calculation of the times for failure propagation by system reliability formulae, which is a guideline for improving network robustness. In the field of chemical research, due to the network topology and fault propagation characteristics of chemical processes, [ 9 ] the linear load capacity model proposed by Motter and Lai [ 10 ] is often adopted, which defines the capacity of a node as linearly related to the initial load. However, due to external environmental and internal system influences, there are some differences between using the load capacity linear model and the characteristics of real chemical processes.…”