Urban solid waste incineration process combustion condition recognition method based on flame image color feature extraction
A flame image, color feature technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as failure to effectively remove multicollinearity
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[0099] The modeling data in this article is referred to a MSWI incineration enterprise in Beijing. Take screenshots of the burning flame video at one-minute intervals. The number of samples is N=270, including 180 training samples and 90 testing samples, and the picture size is 1436*507. Cameras are installed on the left and right sides of the furnace, and the collected images are divided into left and right parts. Combined with the experience of on-site experts, the incineration conditions are divided into three types, and the flames are concentrated in the combustion section, the combustion line and the combustion section. The three working conditions are as Figure 3-Figure 5 shown.
[0100] Firstly, the dark channel prior dehazing algorithm is used to dehaze the image, parameter setting value: local block Ω=9*9, threshold r 0 = 0.1, λ = 0.95. The processing results under different working conditions are as follows: Figure 6-Figure 8 shown.
[0101] Depend on Figu...
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