Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Boiler waste heat explosion fault diagnosis and analysis method

A fault diagnosis and analysis method technology, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve the problems of inability to guarantee the safe operation of waste heat boilers, failure to prevent accidents, and low diagnostic efficiency, so as to improve diagnostic efficiency , reduce maintenance costs, and diagnose effective results

Inactive Publication Date: 2019-11-08
GUANGDONG VOCATIONAL & TECHNICAL COLLEGE
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the defects of low diagnostic efficiency, high maintenance cost, inability to prevent accidents, and inability to ensure safe operation of waste heat boilers in existing diagnostic analysis methods, and provides a method with high diagnostic efficiency, low maintenance cost, capable of preventing accidents, and ensuring Fault diagnosis and analysis method of boiler waste heat explosion for safe operation of waste heat boiler

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
  • Boiler waste heat explosion fault diagnosis and analysis method
  • Boiler waste heat explosion fault diagnosis and analysis method
  • Boiler waste heat explosion fault diagnosis and analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] combine figure 1 , figure 2 and image 3 Describe this embodiment, in this embodiment, a kind of boiler waste heat explosion fault diagnosis analysis method that this embodiment involves, it comprises the following steps:

[0059] Step 1. Build a Bayesian network model: the establishment of the waste heat boiler accident model mainly relies on data collection, searching for literature and expert opinions; data collection is based on the daily inspection and maintenance data of the waste heat boiler system during actual operation, as well as failures Historical data; literature search is based on research personnel’s research on the failure of waste heat boiler system to determine the nodes and causal relationship of Bayesian network; expert opinion method mainly uses causal relationship questionnaire, and then the knowledge engineer establishes the knowledge base of the expert system, and finally Build a Bayesian network according to the rule knowledge base; establis...

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, which belongs to the field of waste heat boiler accident diagnosis analysis, relates to a boiler waste heat explosion fault diagnosis and analysis method. With the provided method having advantages of high diagnosis efficiency and low maintenance cost, accident occurrence can be prevented and the safety running of the waste heat boiler can be guaranteed. According to the invention,a Bayesian network model is constructed; a root node prior probability of a waste heat boiler fault model is obtained; a posterior probability of the root node is obtained; an influence factor set isestablished and an evaluation set is established; a single influencing factor type fuzzy evaluation matrix is determined; a factor weight set is determined; a fuzzy comprehensive evaluation matrix ofan explosion accident factor weight set of the waste heat boiler is calculated; and the posterior probability is diagnosed by using a Bayesian network diagnosis method and comprehensive diagnosis is performed by combining the fuzzy evaluation method, and influence factors are ranked in a descending order to obtain ranks of waste heat explosion failure factors of the boiler. The method is mainly applied to the diagnosis of boiler waste heat explosion faults.

Description

technical field [0001] The invention belongs to the field of waste heat boiler accident diagnosis and analysis, and in particular relates to a boiler waste heat explosion fault diagnosis and analysis method. Background technique [0002] With the rapid development of the economy, people pay more and more attention to energy utilization and environmental protection issues. In this context, waste heat boilers, as general energy equipment, are increasingly valued by enterprises in order to improve energy utilization efficiency. With the extensive use of waste heat boilers, its safety issues are getting more and more attention in the industry. Waste heat boilers use the heat of waste gas, waste materials, and waste liquids generated in industrial production to heat water to generate steam or hot water for other processes. threats, especially boiler explosions, have a greater impact. Therefore, it is necessary to carry out fault diagnosis on waste heat boiler accidents to find...

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): G05B23/02
CPCG05B23/0262G05B2219/24065
Inventor 王北一
Owner GUANGDONG VOCATIONAL & TECHNICAL COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products