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
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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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