Research on Carbon-Monoxide Utilization Ratio in the Blast Furnace Based on Kolmogorov Entropy
| Autor: | Dengfeng Xiao, Jianqi An, Min Wu, Yong He |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Utilization ratio Blast furnace Computer science 02 engineering and technology Kolmogorov entropy Human-Computer Interaction chemistry.chemical_compound 020901 industrial engineering & automation chemistry Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Statistical physics Carbon monoxide |
| Zdroj: | Journal of Advanced Computational Intelligence and Intelligent Informatics. 20:310-316 |
| ISSN: | 1883-8014 1343-0130 |
| DOI: | 10.20965/jaciii.2016.p0310 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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