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The chaotic characteristic of the carbon-monoxide utilization ratio in the blast furnace
Affiliation:1. School of Information Science and Engineering, Central South University, Changsha 410083, China;2. School of Automation, China University of Geosciences, Wuhan 430074, China;3. Department of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan;4. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
Abstract:In this paper, carbon monoxide utilization ratio (CMUR) is served as a real-time index to evaluate the energy consumption of blast furnace (BF), and the chaotic analysis method is also presented to study the characteristic of CMUR. Firstly, the time series data measured from two representative BFs are adopted as the sample to investigate the characteristics of CMUR. Secondly, the phase space model of CMUR is reconstructed, and two key related parameters of the model are derived as well. Finally, the value of the chaotic attractor's saturated correlative dimensions in the reconstructed phase space of CMUR is obtained. The result shows that the sample time series of these two BFs have chaos property. Furthermore, the development process of CMUR is also proved to be the chaotic process. It provides a solid foundation for us to further study the chaotic predication and control of CMUR, which helps us to better master the variational tendency of CMUR and provides the effective operation guidance for the BF on the spot to reduce the energy consumption in BF.
Keywords:Blast furnace (BF)  Carbon monoxide utilization ratio (CMUR)  Iron-making  Phase space reconstructed  Saturated correlative dimension
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