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Complex system reliability simulation method and system based on adaptive agent

A system simulation and complex system technology, applied in the field of complex system reliability simulation, can solve the problems of low computational efficiency, difficult dynamic reliability model, and high computational complexity, so as to improve the collection ability and precision, improve the accuracy and reliability The effect of good flexibility and application flexibility

Active Publication Date: 2022-02-01
ARMOR ACADEMY OF CHINESE PEOPLES LIBERATION ARMY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • Complex system reliability simulation method and system based on adaptive agent
  • Complex system reliability simulation method and system based on adaptive agent
  • Complex system reliability simulation method and system based on adaptive agent

Examples

Experimental program
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Embodiment 1

[0068] Such as figure 1 Shown, a kind of complex system reliability simulation method based on adaptive agent, described method comprises the following steps:

[0069] Step 11, collect system-related data, including system working environment parameters, working conditions and task profile, failure rate of each unit, failure distribution function and parameters, failure rate changes with environment, life expectancy, etc.

[0070] Step 12, determine the task profile of the system, and construct a task transition model of the system task profile.

[0071] Step 13, determine the task environment profile of the system, and construct the environment conversion model of the system task.

[0072] Step 14, establishing a reliability block diagram of each subtask of the system task profile.

[0073] Step 15, constructing a general work unit simulation adaptive agent model.

[0074] Build a self-adaptive, general-purpose system working unit simulation adaptive agent model, which can s...

Embodiment 2

[0186] The embodiment of the present invention proposes a complex system reliability simulation method based on an adaptive agent, and its workflow can be found in figure 1 shown, including the following steps:

[0187] Collect system related data. In the embodiment of the present invention, the basic reliability simulation analysis of a communication product is taken as an example. Its function is communication signal access, and it is composed of 7 partial boards, including imported components and domestic components.

[0188] Determine the system mission profile. The mission profile of the system includes two mission phases: mission phase 1 and mission phase 2, which respectively represent the two working states of the system during the execution of the mission.

[0189] Determine the mission environment profile of the system. Corresponding to the two different task phases of the system, the system has two different working environments: working environment 1 and working...

example 1

[0237] Message example 1: INFO::SETTING::

[0238] Message example 2: INFO::RBM::

[0239] Message example 3: INFO::FAIL::

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Abstract

The invention discloses a complex product reliability simulation method based on self-adaptive intelligent body. Adapt to the intelligent decision-making behavior of the agent itself, build a multi-adaptive agent collaboration network that describes the internal functional relationship and reliability behavior of the complex system, and simulate the changes in the external working environment of the system and the various aspects of the system through the collaborative behavior between adaptive agents. The working activities and fault status of functional units, and record the working data of each unit and the whole system, so as to realize the analysis and evaluation of the reliability behavior and characteristics of the whole system. Because the adaptive agent is used to define the basic working unit of the system, complex system life characteristics, functional characteristics, working status and reliability degradation can be described, which improves the accuracy of reliability analysis.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 曹军海申莹杜海东李羚玮徐丹刘福胜陈守华张波李春洋
Owner ARMOR ACADEMY OF CHINESE PEOPLES LIBERATION ARMY
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