Environment task interference method and system for intelligent agents in reliability simulation of complex system

A complex system and system simulation technology, applied in reliability/availability analysis, instrumentation, electrical and digital data processing, etc., can solve problems such as poor flexibility, high computational complexity, difficult dynamic reliability models, etc. Effect

Active Publication Date: 2018-09-21
ARMOR ACADEMY OF CHINESE PEOPLES LIBERATION ARMY
View PDF5 Cites 3 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Environment task interference method and system for intelligent agents in reliability simulation of complex system
  • Environment task interference method and system for intelligent agents in reliability simulation of complex system
  • Environment task interference method and system for intelligent agents in reliability simulation of complex system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] Such as figure 1 As shown, it is a workflow flowchart of an agent environment task intervention method in complex system reliability simulation according to an embodiment of the present disclosure, wherein,

[0061] Step 11: Start the simulation and initialize each agent;

[0062] Step 12: The task simulation agent performs the task update operation according to the current task msn 0 , the current simulation clock t, call the task conversion function F m , solve the current subtask smn x , and set the current subtask (task stage) as smn according to the result x , the task transition function is expressed as follows:

[0063] smn x =F m (msn 0 ,t)

[0064] task transition function F m The specific form of can be defined according to the task model of the system, and can adopt various forms such as subtask list, subtask matrix, and state transition diagram.

[0065] Step 13: The task simulation agent notifies the environment simulation agent that the current t...

Embodiment 2

[0076] Below in conjunction with the accompanying drawings and embodiments, using Anylogic 7.2 as the simulation model development environment, the present invention will be further described in detail.

[0077] The present invention proposes an environment and task intervention mechanism of the agent in the reliability simulation of complex systems, and its work flow is as follows: figure 2 shown, including the following steps:

[0078] Step 21, taking the basic reliability simulation analysis of a communication product as an example in the embodiment of the present invention, its function is communication signal access, and it consists of 7 partial components. The reliability parameters of each component are shown in Table 1.

[0079] Table 1 Reliability parameters of each component of a communication product

[0080]

[0081] Step 22, using Anylogic to establish a new multi-agent simulation model, and establish four Agent classes: task simulation agent, environment si...

Embodiment 3

[0118] Such as Figure 4 As shown, the embodiment of the present disclosure also provides an agent environment task intervention system in complex system reliability simulation, including: task simulation agent 31, environment simulation agent 32, system simulation agent 33 and work unit simulation agent 34 ;

[0119] The task simulation agent 31 is used for simulating changes in system tasks. According to changes in the task profile, the working conditions and stresses of the system will change, thereby affecting the failure or failure behavior of the system;

[0120] The environment simulation agent 32 is used for autonomously simulating changes in the external environment of system operation, and changes in environmental parameters will affect changes in failure rules during system work;

[0121] The system simulation agent 33 is used to simulate the overall behavior of the entire system, and it can activate and stop the working state of each work unit according to changes...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a basic method and workflow for cooperation of self-adaptive intelligent agents. A principle framework is provided for the design and development of a simulation system. The basic method for the self-adaptive intelligent agents to automatically adapt to task changes and environmental changes and independently update a system reliability model and actual fault characteristicparameters is provided for the reliability simulation of complex system tasks based on the self-adaptive intelligent agents, and the method can help to achieve the reliability simulation and evaluation of the system tasks under various complex task conditions and in the variable task environments. The method is a breakthrough in the field of reliability simulation of the complex system and is aninnovation in the research aspect.

Description

technical field [0001] The present disclosure relates to the technical field of system reliability simulation, and in particular to a method and system for interfering with an agent environment task in complex system reliability simulation. Background technique [0002] Reliability simulation technology is an effective method for predicting and evaluating the reliability of complex systems developed with the maturity and popularization of computer software and hardware technology. It is a successful application of computer simulation technology in the field of reliability engineering. It has good versatility, wide application, high analysis accuracy, high calculation efficiency, and low requirements on software and hardware conditions. It can play a significant role in improving product reliability and has been more and more widely used in the field of reliability engineering. . [0003] As one of the important key technologies in system reliability engineering, reliability...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F11/00G06F11/34
CPCG06F11/008G06F11/3457
Inventor 曹军海申莹杜海东李羚玮陈守华刘福胜张波徐丹郑峻兮
Owner ARMOR ACADEMY OF CHINESE PEOPLES LIBERATION ARMY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap