Failure monitoring and self-healing method for multi-agent combustion gas pipeline based on immune learning

A gas pipeline and fault monitoring technology, applied in informatics, special data processing applications, instruments, etc., can solve problems such as loss, gas pipeline without fault self-healing function, and continuous detection

Inactive Publication Date: 2017-04-26
HOHAI UNIV CHANGZHOU
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional gas pipeline fault detection methods are either poor in real-time or cannot be continuously detected, and the gas pipeline has no fault self-healing function. Once a fault occurs, it will cause inestimable losses

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
  • Failure monitoring and self-healing method for multi-agent combustion gas pipeline based on immune learning
  • Failure monitoring and self-healing method for multi-agent combustion gas pipeline based on immune learning
  • Failure monitoring and self-healing method for multi-agent combustion gas pipeline based on immune learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] Below in conjunction with accompanying drawing of description, the present invention will be further described.

[0075] The invention provides a fault monitoring and self-healing method of a multi-agent gas pipeline based on immune learning, comprising the following steps:

[0076] 1) Construct a multi-agent system for realizing gas pipeline fault monitoring and self-healing, such as figure 1 As shown, the multi-agent system includes data acquisition Agent, immune Agent, communication Agent, management Agent, evaluation Agent and execution Agent;

[0077] The data collection Agents are arranged in different positions of the gas pipeline, and each data collection Agent is connected with an immune Agent, and several immune Agents are connected with the communication Agent, the communication Agent, the management Agent, the evaluation Agent and the The execution Agents are connected in sequence, the management Agent is connected to the communication Agent, and the execut...

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 failure monitoring and self-healing method for a multi-agent combustion gas pipeline based on immune learning. The method comprises following steps: creating a multi-agent system used for monitoring faults of the combustion gas pipeline and self-healing, wherein the multi-agent system contains data collection Agent, immunity Agent, communication Agent, management Agent, assessment Agent and execution Agent; obtaining and analyzing field data of the combustion gas pipeline, utilizing independent component analysis, correlation coefficient and other methods for feature extraction, adopting an immune algorithm to obtain a primary self-healing scheme set, comprehensively analyzing each primary self-healing scheme, selecting the best self-healing scheme according to the size of the comprehensive index and self-restoring failure of the combustion gas pipeline. The failure monitoring and self-healing method for the multi-agent combustion gas pipeline based on immune learning has following beneficial effects: advantages such as openness, transplantability, intelligence, reliability and flexibility are obtained; the self-organization capability, the learning capability and the deduction capability are achieved; and the higher flexibility and robustness are obtained.

Description

technical field [0001] The invention relates to a fault monitoring and self-healing method, in particular to a fault monitoring and self-healing method of a multi-intelligent gas pipeline based on immune learning, and belongs to the technical field of intelligent monitoring. Background technique [0002] With the proposal of building a resource-saving and environment-friendly society, the country's opening up of the gas field and the extension of pipeline construction have provided rare opportunities for the development of China's gas. However, due to poor quality or long-term construction of some pipe fittings and pipes, the pipes are corroded and broken, resulting in gas leakage, or the pipe wall is corroded, causing rust inside the pipe, causing pipe blockage and other failures. Once the gas pipeline fails, it will pose a huge threat to people's life and property safety, so it is very important to ensure the safe operation of the gas pipeline. However, the traditional ga...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06K9/62
CPCG16Z99/00G06F18/24
Inventor 倪建军刘养菊朱金秀范新南陈鹏
Owner HOHAI UNIV CHANGZHOU
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