Blast furnace comprehensive state prediction method and system

Abstract

The invention relates to a blast furnace comprehensive state prediction method and system, and relates to the field of quantification and prediction of unmeasurable key parameters in the complex blastfurnace ironmaking process. According to the invention, the method comprises the steps of carrying out applicability detection on sample data; determining a common factor in the sample data conforming to the applicability preset standard by utilizing a factor analysis method; determining a sample blast furnace comprehensive state index according to the common factor; establishing a blast furnacecomprehensive state index prediction model by utilizing a correlation analysis method and an AdaBoost algorithm according to the sample blast furnace comprehensive state index; inputting to-be-predicted blast furnace production real-time data into the blast furnace comprehensive state index prediction model to obtain predicted blast furnace comprehensive state indexes; according to the predicted blast furnace comprehensive state indexes, the blast furnace comprehensive state is obtained through the blast furnace comprehensive state classification standard, and subjective deviation occurring when the blast furnace comprehensive state is judged according to production experience of field technicians is avoided.

Description

technical field [0001] The invention relates to the field of quantification and prediction of unmeasurable key parameters in complex blast furnace ironmaking processes, in particular to a blast furnace comprehensive state prediction method and system. Background technique [0002] The blast furnace ironmaking process is a multi-department joint operation involving multiple links in the production process. The blast furnace is a closed reactor, and the production process is a "black box" operation, and internal direct data cannot be obtained, so it can only be controlled indirectly through the parameters of the monitoring equipment outside the furnace. The on-site production conditions of the blast furnace are complex, and the on-site data has the characteristics of large noise, strong hysteresis, and inconsistent unit scales. At the same time, the goal of blast furnace production is "high yield, low consumption, high quality, and long life". There are dozens of characteriza...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for predicting the comprehensive state of a blast

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