Flue gas denitrification method of power plant boiler based on random forest model
A random forest model, power plant boiler technology, applied in separation methods, chemical instruments and methods, gas treatment, etc., can solve problems such as large delays and nonlinearities, and achieve efficient fitting and ensure accuracy
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[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0031] The utility boiler flue gas denitrification method based on the random forest model proposed by the present invention comprises the following steps:
[0032] S1: Determine the independent variable parameters of the training model as the OFA (staged air combustion) damper command of the flue gas denitrification system, the low nitrogen damper command, the secondary air pressure, the operating status of the powder discharger, the oxygen content of the furnace, ...
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