Complex system reliability simulation method and system based on self-adaptive intelligent bodies

Abstract

The invention discloses a complex system reliability simulation method based on self-adaptive intelligent bodies, wherein the method utilizes intelligent self-adaptive intelligent body objects to construct the basic working unit of a complex system. Through the communication mechanism between the self-adaptive intelligent body objects and the intelligent decision behavior of the self-adaptive intelligent bodies, the multi self-adaptive intelligent body cooperative network describing the internal function relation and the reliability behavior of the complex system is constructed. Through the cooperative behavior between the self-adaptive bodies, the change of the external working environment, and the working activity and the fault state of each functional unit of the system are simulated, and the working data of each unit of the system and the whole system is recorded, so as to realize the analysis and evaluation of the whole system reliability behavior and the characteristics. Due to the utilization of the self-adaptive intelligent bodies to define the basic working unit of the system, the factors such as the life characteristic, the function characteristic, the working state and the reliability degradation of the complex system can be described, and the accuracy of the reliability analysis is improved.

Description

technical field [0001] The present disclosure relates to the technical field of system reliability simulation, in particular to a complex system reliability simulation method and system based on an adaptive agent. Background technique [0002] System reliability refers to the ability GJB to effectively realize the specified functions within the specified time and specified conditions (such as the use environment and maintenance conditions, etc.). Reliability engineering is one of the key engineering techniques in modern complex product design. It is an engineering technology related to demonstration, design, analysis, test, evaluation and improvement to improve the reliability of the system (or product or component) throughout the life cycle. With the increasing complexity and precision of modern products, various large and complex products such as aerospace, aviation, ships, electronics, automobiles, construction, power facilities, construction machinery, weaponry, etc. ha...

AI Technical Summary

Problems solved by technology

This method has high requirements on the reliability model. At the same time, in the realization of the simulation model, the reliability block diagram needs to be expressed as a logic operation equation. Therefore, the method has poor flexibility and high computational complexity. When the model scale is large , the reliability logic operation equation will be very complex, resulting in low computational efficiency of this method

In addition, the traditional method mainly focuses on the analysis of the inherent reliability of the system based on the static reliability relationship in an ideal working environment, and it is difficult to adapt to the dynamic reliability model of the system in a complex task environment, and it is also difficult to take into account the working conditions of components and external conditions. The impact of dynamic changes in the working environment on the reliability of the system, and the reliability degradation of components due to wear and tear cannot be considered, resulting in a large error between the simulation results and the actual operating data of the system, and it is difficult to improve the feasibility of the simulation

In addition, the reusability of existing simulation method models is low

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