CN-121980232-A - ISM model weight distribution parameter selection method, system, equipment and medium

CN121980232ACN 121980232 ACN121980232 ACN 121980232ACN-121980232-A

Abstract

The invention provides an ISM model weight distribution parameter selection method, system, equipment and medium, which belong to the field of system safety analysis and comprise the steps of obtaining function pointing relationships and hierarchy dividing results of a plurality of subsystems of an engineering system to be analyzed, determining the hierarchy weight of each subsystem according to the hierarchy dividing results of the subsystems, generating a structure importance function of the structure importance and the input coefficient of each subsystem based on the hierarchy weight and the pointing relationship of each subsystem, wherein the output coefficient in the structure importance function is converted into a relational expression of the input coefficient in advance through a constraint relationship of the output coefficient and the input coefficient, solving the structure importance function based on the structure importance of different subsystems to obtain a value range of the input coefficient, and determining the input coefficient and the output coefficient according to the value range of the input coefficient. According to the method, the parameter selection problem is converted from subjective experience judgment into objective mathematical calculation, and the accuracy and reliability of system safety analysis are improved.

Inventors

DANG XIANGJUN
FENG XIANGRUI
YANG XIAOJUN
Yuan Saikuo
WANG ZIYI

Assignees

中国民航大学

Dates

Publication Date: 20260505
Application Date: 20260126

Claims (10)

The ISM model weight allocation parameter selection method is characterized by comprising the following steps: acquiring function pointing relationships and hierarchy dividing results of a plurality of subsystems of an engineering system to be analyzed; generating a structural importance function of the structural importance and the input coefficient of each subsystem based on the hierarchical weight and the pointing relation of each subsystem, wherein the weight distribution parameters comprise the output coefficient and the input coefficient, and the output coefficient in the structural importance function is converted into a relational expression of the input coefficient through the constraint relation of the output coefficient and the input coefficient in advance; The method comprises the steps of solving a structural importance function based on the structural importance of subsystems of different layers to obtain a value range of an input coefficient, determining the input coefficient and an output coefficient according to the value range of the input coefficient, and constructing a system security analysis ISM model of an engineering system to be analyzed by the input coefficient and the output coefficient.
2. The ISM model weight assignment parameter selection method as in claim 1, wherein generating a structure importance function of the structure importance and the importation coefficient of each subsystem based on the hierarchical weight and the functional pointing relationship of each subsystem comprises: For a subsystem, determining, by a functional pointing relationship, a hierarchical weight of a plurality of subsystems functionally pointing to the subsystem, and a hierarchical weight of a plurality of subsystems functionally pointing to the subsystem; Respectively calculating the average value according to the hierarchical weights of a plurality of subsystems which are functionally directed to the subsystem and the hierarchical weights of a plurality of subsystems which are directed to the subsystem, so as to obtain the average value weight which is functionally directed to the subsystem and the average value weight of a plurality of subsystems which are directed to the subsystem; Based on the constraint relation between the output coefficient and the input coefficient, the structural importance function taking the input coefficient of the subsystem as an independent variable and the structural importance of the subsystem as a dependent variable is constructed by the mean weight of the subsystem, the hierarchical weight of the subsystem and the mean weights of a plurality of subsystems pointed by the subsystem.
3. The ISM model weight assignment parameter selection method as set forth in claim 2, wherein the constraint relationship between the out-degree coefficient and the in-degree coefficient is that a sum of the out-degree coefficient and the in-degree coefficient is a fixed value, and the out-degree coefficient is greater than the in-degree coefficient.
4. The ISM model weight assignment parameter selection method as in claim 2, wherein constructing the structural importance function of the subsystem from a mean weight functionally directed to the subsystem, a hierarchical weight of the subsystem, and a mean weight of a plurality of subsystems to which the subsystem is directed comprises: When the subsystem does not have a plurality of subsystems which point to the subsystem functionally, multiplying the average weights of the plurality of subsystems which point to the subsystem by a compensation coefficient to obtain the compensation weights of the plurality of subsystems which point to the subsystem; When the subsystem does not have a plurality of subsystems pointed by the subsystem, multiplying the average weight of the plurality of subsystems pointed by the subsystem functionally by the compensation coefficient to obtain the compensation weight of the plurality of subsystems pointed by the subsystem functionally, and constructing the structure importance function according to the plurality of subsystems pointed by the subsystem functionally and the hierarchical weight of the subsystem.
5. The ISM model weight assignment parameter selection method as in claim 1, further comprising, prior to solving the structure importance function based on structure importance magnitudes of different layer subsystems: and carrying out intersection judgment on the structure importance functions of the subsystems of the same level, and when the structure importance functions of the subsystems of the same level do not have intersection points in a preset independent variable interval, carrying out importance sorting on the subsystems of the same level based on the structure importance corresponding to any independent variable.
6. The ISM model weight assignment parameter selection method as recited in claim 5, wherein solving the structure importance function based on structure importance magnitudes of different layer subsystems comprises: when the structure importance function of the subsystems in the same level has an intersection point in a preset independent variable interval, the subsystems with the intersection point are used as candidate subsystems of the level; And carrying out input coefficient solving according to the structure importance functions corresponding to the candidate subsystems of the hierarchy, the candidate subsystems of the hierarchy above the hierarchy and the candidate subsystems of the hierarchy below the hierarchy based on constraint conditions of the structure importance of the different layers of subsystems, wherein the constraint conditions of the structure importance of the different layers of subsystems are that the structure importance corresponding to the candidate subsystems of the hierarchy above the hierarchy is larger than that of the candidate subsystems of the hierarchy, and the structure importance corresponding to the candidate subsystems of the hierarchy is larger than that of the candidate subsystems of the hierarchy below the hierarchy.
7. The ISM model weight assignment parameter selection method as set forth in claim 1, wherein determining the in-degree coefficient and the out-degree coefficient according to the range of values of the in-degree coefficient includes: Calculating the sum of squares, the sum of squares of errors and the sum of total squares of the groups by using the value of the input coefficient as a variable in the value range of the input coefficient through an analysis of variance model; Determining the input coefficient according to the sum of squares between groups, the sum of squares of errors and the sum of total squares; and determining the output coefficient by the input coefficient according to the constraint relation between the output coefficient and the input coefficient.
Ism model weight allocation parameter selection system, characterized in that it comprises: the system comprises a hierarchy weight determining module, a hierarchy weight determining module and a hierarchy weight determining module, wherein the hierarchy weight determining module is used for acquiring the function pointing relation and the hierarchy dividing result of a plurality of subsystems of an engineering system to be analyzed; the system comprises a structural importance function construction module, a structural importance function generation module and a control module, wherein the structural importance function construction module is used for generating a structural importance function of each subsystem and an input coefficient based on the hierarchical weight and the pointing relation of each subsystem, and the output coefficient in the structural importance function is converted into a relational expression of the input coefficient through the constraint relation of the output coefficient and the input coefficient in advance; The weight distribution parameter determining module is used for solving the structure importance function based on the structure importance of the subsystems of different layers to obtain the value range of the input coefficient, determining the input coefficient and the output coefficient according to the value range of the input coefficient, and constructing a system security analysis ISM model of the engineering system to be analyzed by the input coefficient and the output coefficient.
9. A computer device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the steps of the ISM model weight assignment parameter selection method of any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, which when loaded by a processor is capable of performing the steps of the ISM model weight assignment parameter selection method as in any one of claims 1 to 7.

Description

ISM model weight distribution parameter selection method, system, equipment and medium Technical Field The invention belongs to the field of system security analysis, and particularly relates to an ISM model weight distribution parameter selection method, system, equipment and medium. Background System security analysis is a systematic engineering approach aimed at identifying, assessing and controlling potential risks in complex systems to ensure reliability, stability and safety of the system during operation. The core is to make effective preventive measures by analyzing the interrelationship of components in the system, fault propagation paths and key weak links. As modern engineering systems become increasingly complex, the systems tend to be made up of a large number of subsystems with complex dependencies and interactions between the subsystems. For example, failure of one subsystem may trigger a chain reaction through network effects, ultimately leading to an overall system crash. Therefore, the system security analysis can quantify the risk priority from the global view, avoid local optimization, provide scientific basis for resource allocation and decision, and prevent catastrophic accidents. In order to cope with the safety analysis requirement of the complex system, the prior art analyzes the interrelationship and hierarchical division of subsystems through an interpretation structure model (INTERPRETATIVE STRUCTURAL MODEL, ISM), for example, calculates the structural importance of each subsystem to measure the influence weight of each subsystem in a fault propagation path, and further simplifies the complex system structure into a clear hierarchical network. However, the calculation of the structural importance depends on the values of weight distribution parameters such as a degree coefficient (O) and a degree coefficient (I), the values of the existing weight distribution parameters depend on subjective experience determination of researchers, when the connection relation and the level nesting of a system are complex, the problems that the degree influence is smaller than the degree influence, the conduction logic is not satisfied after global calculation and superposition of the subjectively determined experience values often occur, and the like, so that the structural importance sorting calculated by an ISM model is inconsistent with the actual risk conduction path, and the accuracy of the safety analysis of the system is reduced. Disclosure of Invention In order to solve the problem of insufficient safety analysis accuracy in subjective setting of weight distribution parameters in the conventional ISM model for analyzing system safety, the invention provides an ISM model weight distribution parameter selection method, system, equipment and medium. In order to achieve the above object, the present invention provides the following technical solutions: the ISM model weight allocation parameter selection method comprises the following steps: Acquiring function pointing relationships and hierarchy dividing results of a plurality of subsystems of an engineering system to be analyzed; Generating a structural importance function of the structural importance and the input coefficient of each subsystem based on the hierarchical weight and the pointing relation of each subsystem, wherein the weight distribution parameters comprise the output coefficient and the input coefficient, and the output coefficient in the structural importance function is converted into a relational expression of the input coefficient through the constraint relation of the output coefficient and the input coefficient in advance; The method comprises the steps of solving a structure importance function based on the structure importance of subsystems of different layers to obtain a value range of an input coefficient, determining the input coefficient and an output coefficient according to the value range of the input coefficient, and constructing a system security analysis ISM model of an engineering system to be analyzed by the input coefficient and the output coefficient. Optionally, the ISM model weight allocation parameter selection method provided by the present invention further includes: For a subsystem, determining, by a functional pointing relationship, a hierarchical weight of a plurality of subsystems functionally pointing to the subsystem, and a hierarchical weight of a plurality of subsystems functionally pointing to the subsystem; Respectively calculating the average value according to the hierarchical weights of a plurality of subsystems which are functionally directed to the subsystem and the hierarchical weights of a plurality of subsystems which are directed to the subsystem, so as to obtain the average value weight which is functionally directed to the subsystem and the average value weight of a plurality of subsystems which are directed to the subsystem; Based on the constraint relation between the output c