An energy efficient decision-making strategy of burden distribution for blast furnace

作者：Wu, Min^*; Zhang, Kexin; An, Jianqi; She, Jinhua; Liu, Kang-Zhi

来源：Control Engineering Practice, 2018, 78: 186-195.

DOI：10.1016/j.conengprac.2018.06.019

• Burden distribution
• Blast furnace
• Decision-making strategy
• Support vector regression
• Case-matching model

Burden distribution plays an important role in the optimization of energy-consuming index of a blast furnace (BF). However, due to the complex mechanism of the burden distribution process and the poor understanding of this process, it is difficult for operators to make a suitable decision for burden distribution parameters. In this paper, a decision-making strategy of burden distribution parameters is devised for improving energy-consuming index, where carbon-monoxide utilization rate (CMUR) is taken as the energy-consuming index. Firstly, the support vector regression is used to build a model between the burden distribution parameters and BF state variables that are closely related to CMUR. Then, a probability-based case-matching model is built by the historical data to predict the trend of CMUR's change. Finally, based on the trend of CMUR's change, a decision for burden distribution parameters is obtained. Simulation results based on industrial data show that the devised decision making strategy provides a good guide on making a suitable decision for burden distribution parameters.

• 出版日期2018-9
• 单位中国地质大学（北京）