Method and system for predicting sulfur dioxide in catalytic regeneration flue gas

Abstract

The invention provides a catalytic regeneration flue gas sulfur dioxide prediction method and system, and belongs to the technical field of computers. The method comprises the following steps: determining an acquisition scale and an acquisition data set of each associated variable based on production and emission process parameters of regenerated flue gas sulfur dioxide; determining an optimal time scale based on the scale requirement parameter of the regenerated flue gas sulfur dioxide and the acquisition scale of each associated variable; according to the method, the acquisition scale and the optimal time scale of each associated variable are matched, a data fusion scheme is determined, and each acquisition data set is processed by using the corresponding data fusion scheme, so that each acquisition data set meets the optimal time scale, the associated variables of different acquisition scales are unified, and the problem that the modeling precision is influenced by multi-scale variables is solved. Taking the acquired data set after data processing as an input data set, and establishing a catalytic regeneration flue gas sulfur dioxide concentration prediction model; the catalytic regeneration flue gas sulfur dioxide concentration is predicted based on the catalytic regeneration flue gas sulfur dioxide concentration prediction model, and the prediction accuracy is ensured.

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