Data-driven modeling furnace temperature control method for hazardous waste incineration rotary kiln
A hazardous waste, data-driven technology, applied in temperature control, non-electric variable control, control/regulation systems, etc., can solve problems such as economic loss, low efficiency, and large fluctuations in feed volume, so as to reduce control difficulty and dependence degree, the effect of improving economic benefits
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[0054] In this embodiment, the historical operation data of the rotary kiln is used to fit the prediction model, and the nonlinear relationship between the control parameters of the rotary kiln and the temperature of the rotary kiln is established through the autoregressive sliding average modeling method, and the model structure parameters and model estimation parameters are obtained. Input the obtained temperature prediction model into the rotary kiln model prediction control unit.
[0055] Sampling and analyzing the hazardous wastes that are going to enter the rotary kiln for incineration according to the categories, and obtain the physical property data, industrial analysis data and elemental analysis data of the hazardous wastes. Organize and package the obtained data into a hazardous waste database, so that it can be called in the process of model prediction calculation.
[0056] The rotary kiln is turned on, and auxiliary fuel is injected so that the temperature in the ...
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