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A method for automatic monitoring of flame combustion stability

A flame combustion and automatic monitoring technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of relative position drift, fast fluctuation frequency, high subjective risk, etc., and achieve the effect of avoiding errors

Inactive Publication Date: 2017-02-08
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are three deficiencies in the method of judging flame stability based on this eigenvalue: first, the overall eccentricity of the flame is not large, but it is difficult to monitor well when there are serious random fluctuations around the center of the flame figure; second 1. There is volatility in flame combustion. During the detection process, the eccentric distance value obtained from a single image has a large fluctuation range and fast fluctuation frequency, which is not conducive to reflecting the overall situation of flame combustion; The distance between the center of the furnace and the center of the furnace need to be calibrated every time the system consisting of the heat medium furnace and the camera is started. There are two calibration methods. One is to align the center of the camera with the center of the furnace before each start, but With the long-term operation of the system, the center point of the furnace and the center point of the camera will drift relative to each other, resulting in inaccurate detection, which is not conducive to practical applications; secondly, it is not necessary to align the center of the camera with the center point of the furnace , setting a flame center subjectively based on experience, this method also has a greater subjective risk

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  • A method for automatic monitoring of flame combustion stability
  • A method for automatic monitoring of flame combustion stability
  • A method for automatic monitoring of flame combustion stability

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] 101: Obtain N pieces of RGB mode image A n , extract the blue image from it and enhance the contrast, and obtain the processed flame image B n , where, n=1~N, N>=20;

[0045] 102: For processed flame image B n Carry out segmentation to obtain the segmented flame image I n ;

[0046] 103: From the segmented flame image I n Extract the flame combustion stable region W and the flame combustion critical region L;

[0047] 104: Calculate the area ratio R of the flame combustion stable zone W m ;

[0048] 105: when the area ratio R of the flame burning stable area W m When the area rate is less than the threshold value, the flame combustion is unstable.

[0049] Using the calculated flame stable zone area ratio R mCompared with the preset area ratio threshold th in actual experience, if R m

Embodiment 2

[0052] 200: Use the camera to face the heat medium furnace fire observation window during the flame burning period and shoot N RGB mode images continuously at a preset speed A n , where, n=1~N, N>=20;

[0053] Among them, the preset speed is set according to the needs in practical applications, usually shooting 3~8 RGB images per second.

[0054] 201: Image A from RGB mode n Extract the blue image as a subsequent processing image, where n=1~N, N>=20;

[0055] When shooting flame images, there will also be noise light sources in the background of the furnace. Among them, red light has the longest wavelength and its attenuation is the lowest. Therefore, the captured RGB mode image has red light interference from the furnace background, but relatively blue light The influence is the lowest, so the grayscale image corresponding to the blue image component is selected as the subsequent processing image. Figure 3a , Figure 3b , Figure 3c with Figure 3d Shown is an image of...

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Abstract

The invention discloses a method for automatically monitoring the flame combustion stability. The method comprises the following steps of: acquiring N RGB (Red-Green-Blue) mode images An, extracting a blue image, increasing a contrast, and acquiring a processed flame image Bn; partitioning the processed flame image Bn to obtain a partitioned flame image In; extracting a flame combustion stable area W and a flame combustion critical area L from the partitioned flame image In; calculating the area ratio of the flame combustion stable area W; and when the area ratio of the flame combustion stable area W is less than an area ratio threshold value, judging that flame combustion is unstable. Due to the adoption of the method, the flame stability can be monitored even under the conditions of low overall eccentricity or severe fluctuation, the overall condition of flame combustion is well reflected, and risks caused by errors generated by relative position drifting between the central point of a hearth and the central point of a camera as well as subjective factors are eliminated.

Description

technical field [0001] The present invention relates to the automatic monitoring of flame combustion stability in a furnace, in particular to a flame stability monitoring method based on the area ratio of the flame combustion stable area Background technique [0002] Heat medium furnaces are widely used in the crude oil transportation process, mainly to solve the difficulties in the transportation of high wax content and high freezing point crude oil. The basic requirement for the combustion of the heat medium furnace is to maintain the stability of the flame combustion. The stability of the flame combustion means that the size of the flame, the brightness of the flame, the eccentric distance of the flame combustion and the fluctuation of the flame combustion remain basically unchanged within a certain period of time. However, an ideal stable burning flame does not exist. The hearth flame is an irregular thing with no fixed shape. If the flame combustion is unstable, on the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
Inventor 李一博王会芳刘圆圆龚小月李健王伟魁唐建功
Owner TIANJIN UNIV