Research on Carbon-Monoxide Utilization Ratio in the Blast Furnace Based on Kolmogorov Entropy

Abstract

The accurate mastery of the Carbon-Monxide Utilization Ratio (CMUR) is a critical factor for reducing the energy consumption in the blast furnace (BF). Previous research of the CMUR focused on the mechanism model in which the CMUR is usually regarded as a random variable, and its analysis and prediction is seldom discussed. In this paper, a method for chaotic identifiability analysis by calculating Kolmogorov entropy is presented to study CMUR. The time series data of CMUR are selected from the two representative BFs as the example, and their Kolmogorov entropies are obtained based on the correlation integral algorithm. The results show that the value of the Kolmogorov entropy is finite and positive, which indicates the existence of chaos in the sample time series of the two BFs, and that the development process of the CMUR is corroborated to be a chaotic process. Furthermore, the predicted time scale of the CMUR development process is estimated by the obtained Kolmogorov entropy value.