Networked reliability simulation analysis method based on multiple intelligent agents

Abstract

The invention discloses a networked reliability simulation analysis method based on multiple agents. The method comprises the following steps: establishing a component layer network; setting intelligent agent characteristics of each component node; setting intelligent agent characteristics of each node connection edge; setting a fault injection device, and specifying a fault injection position, fault injection time and fault injection intensity; setting a task execution process, establishing a task layer network, and setting a task execution sequence, time and cycle; analyzing the network structure of the simulation system to obtain system key nodes, operating the simulation system, observing the working state change condition of the system after fault injection, measuring the reliabilityof the simulation system from multiple angles, and finding out weak links of the simulation system; and analyzing and evaluating the reliability of the simulation system. According to the invention, the reliability of the system is improved, and more effective improvement measures are provided for improving the reliability of the system.

Description

technical field [0001] The invention relates to the technical field of reliability simulation analysis, in particular to a networked reliability simulation analysis method based on multi-agents. Background technique [0002] At present, Multi-Agent System (MAS) is a collection of multiple agents. Its goal is to enable several systems with simple intelligence but easy to manage and control to realize complex intelligence through mutual cooperation, so that the While modeling the complexity of the system, it improves the robustness, reliability, and flexibility of the system. It mainly has three characteristics: 1) Autonomy: In a multi-agent system, each agent can manage its own behavior and achieve autonomous cooperation or competition; 2) Fault tolerance: In a multi-agent system, different Interact and cooperate among agents to complete independent or common goals. If some agents fail, other agents will adapt to the new environment and continue to work autonomously, without...

AI Technical Summary

Problems solved by technology

[0004] Existing reliability simulation analysis methods usually focus on the function and operating status of each component in the system, and do not pay attention to the implementation status of the entire task. Interrelationship and influence, so the simulation effect is relatively limited, and the shortcomings are particularly obvious in the reliability simulation process of complex systems including multi-tasks

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