Method for identifying type of fuel on line

A technology for identifying methods and types of fuels, which is applied in material excitation analysis, character and pattern recognition, and analysis by causing chemical reactions to occur in materials. efficiency, reduced training time, and low cost

Inactive Publication Date: 2010-06-09
BEIJING HUASHENG JINCHENG TECH
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the cost of these systems is very high, the installation i...

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
  • Method for identifying type of fuel on line
  • Method for identifying type of fuel on line
  • Method for identifying type of fuel on line

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to enable those of ordinary skill in the art to clearly understand the technical scheme of the present invention, the specific embodiments of the present invention will be further described in conjunction with the accompanying drawings:

[0018] An online identification method of a kind of fuel type of the present invention comprises feature value extraction module 1, data preprocessing module 2, neural network 3, and neural network has nonlinear hidden layer 5 and output layer 6, such as figure 1 and figure 2 shown. An on-line identification method of fuel types according to the present invention comprises extracting flame original eigenvalue 4 data from flame radiation signals, preprocessing the original eigenvalue 4 data, making the data orthogonal, and obtaining mutually uncorrelated Orthogonalized eigenvalue (not shown) data for flames, then using a two-layer neural network with nonlinear hidden layer 5 and output layer 6 to approximate the non-linear fu...

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 provides a new method for identifying the type of a fuel on line, which comprises the following steps: extracting primary characteristic values of a time domain and a frequency domain of a flame from a radiation signal of the flame; subjecting the primary characteristic values first to data preprocessing to change the primary characteristic values into irrelevant orthogonalized characteristic value data, approximating the nonlinear function relationship between the characteristic value data and the fuel types with two layers of neural networks with nonlinear hidden layers to make the output of the neuron of an output layer between 0 and 1, and showing the degree of the similarity of a combusting fuel to a fuel of some type. The primary characteristic values extracted by the method are subjected data preprocessing before being input into the neural networks, so the method can use more useful characteristic information while obviously reducing the complexity of the networks, can increase the training speed of the neural networks and reduce the training time of the neural networks, and also can greatly increase the success rate of fuel type identification.

Description

technical field [0001] The invention relates to a method for identifying fuel types, in particular to an online identification method for fuel types. The invention belongs to the technical field of boiler fuel type identification methods. Background technique [0002] China is the world's largest coal producer and consumer, and coal-fired thermal power plants dominate my country's power industry. Due to economic and other reasons, power plants often use different types of coal, and some also burn or add to burn biomass. Coal and biomass are collectively referred to as fuel here. However, there are many types of fuels in the coal storage yard (or fuel pile) of the power plant, and the stacking of various fuels is random, so the type of fuel is usually unknown and unpredictable during combustion. Due to the frequent changes of fuel types, it becomes very difficult to detect and control the combustion situation in the combustion furnace. In severe cases, even vicious acciden...

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): G01N21/71G01N21/75G06K9/62G06N3/06
Inventor 徐立军
Owner BEIJING HUASHENG JINCHENG TECH
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