| abstract |
The invention relates to a method for intelligently adding lime in the TSC stage of a large converter, and belongs to the technical field of iron and steel metallurgy. The technical scheme of the present invention is: using a mechanism model to predict according to the metallurgical mechanism, performing data training, using deep learning artificial intelligence based on BP neural network, input data based on the mechanism model, performing standardization processing, and constructing input data and output data. The internal connection between them is obtained through artificial intelligence calculation to obtain output data. The beneficial effects of the invention are as follows: by adopting the method of "mechanism model + artificial intelligence prediction", on the basis of fully analyzing the influencing factors of the lime addition amount of the converter, the internal connection between the influencing factors of the converter is constructed, so as to realize the large-scale operation under different material conditions. The method of intelligently adding lime in the TSC stage of the converter solves the problem of accurate addition of lime in the converter, reduces quality accidents and production accidents, and reduces smelting costs. |