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

Furnace hearth flame detecting method based on intelligent-control computer vision technology

A technology of computer vision and flame detection, which is applied in the direction of combustion methods, safety devices of combustion chambers, combustion chambers, etc., can solve the problems of small field of view of flame detectors, inability to further judge flame combustion, and affect the detection effect of furnace flames, etc. achieve efficient operation

Active Publication Date: 2012-06-20
GUODIAN NANJING AUTOMATION
View PDF6 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The field of view of this type of flame detector is small, and when the coal type changes or the load changes cause the ignition position to drift, it will seriously affect the detection effect of the furnace flame
And this kind of flame detector can only give the switching signal of whether there is flame, and cannot further judge the state of flame burning

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
  • Furnace hearth flame detecting method based on intelligent-control computer vision technology
  • Furnace hearth flame detecting method based on intelligent-control computer vision technology
  • Furnace hearth flame detecting method based on intelligent-control computer vision technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0037] Such as figure 1 Shown, the furnace flame detection method based on the computer vision technology of wavelet packet and BP neural network, comprises the following steps:

[0038] (1) Image acquisition: use a CCD camera to take pictures of the furnace flame through an optical fiber image sensor, and transmit the signal of the collected image information to a real-time signal processor;

[0039] (2) Signal denoising processing of wavelet packet algorithm: adopt wavelet packet algorithm to carry out signal denoising processing on image information in the signal processor;

[0040] (3) Use BP neural network model to detect and recognize images: use BP design network to detect and recognize...

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 furnace hearth flame detecting method based on an intelligent-control computer vision technology. The furnace hearth flame detecting method comprises the following steps of: using a CCD (Charge Coupled Device) camera to take a picture for furnace hearth flame by an optical fibre image sensor, and transmitting the taken image information signal to a real-time signal processor; using a wavelet packet arithmetic to perform de-noising processing to the signal of the image information in the real-time signal processor; and using a BP (Back Propagation) neural network module to detect and distinguish the de-noised image information. The computer vision technology based on the wavelet packet and the BP neural network is applied to the image information analysis and treatment of the power plant furnace hearth flame, so that the intelligent treatment of the power plant furnace hearth flame information can be achieved, and the signal noises in background flame can be effectively removed to acquire a more real and accurate signal; the combustion condition of each combustor can be relatively grasped in a quantitative manner to keep the best combustion condition of a boiler, so that the safe and high-efficient operation of the device is achieved.

Description

technical field [0001] The invention relates to a method for detecting and analyzing a furnace flame in a power plant by using computer vision technology, in particular to a furnace flame detection method based on the computer vision technology of wavelet packets and BP neural network. Background technique [0002] The stable combustion of boilers in power plants is crucial to the safety of generating sets and the adequate supply of electricity. With the diversification of fuel and combustion methods of large-scale units, it is particularly important to monitor the combustion system, that is, the flame detection of the boiler furnace, during the start-up and shutdown of the boiler and the handling of accidents. [0003] The flame detection of pulverized coal boiler in power plant is an important measure to improve the safety and economy of power plant operation. At present, the flame detectors widely used in power plants in our country belong to the infrared type, the visib...

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): F23M11/04
Inventor 罗存包德梅黄立均李佑文
Owner GUODIAN NANJING AUTOMATION
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