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

被引：30

作者：

Wu, Min ^{[1
,2
]}

Zhang, Kexin ^{[1
,2
]}

An, Jianqi ^{[1
,2
]}

She, Jinhua ^{[1
,2
,3
]}

Liu, Kang-Zhi ^{[1
,2
,4
]}

机构：

[1] China Univ Geosci, Sch Automat, Wuhan 430074, Hubei, Peoples R China

[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Hubei, Peoples R China

[3] Tokyo Univ Technol, Sch Engn, Hachioji, Tokyo 1920982, Japan

[4] Chiba Univ, Dept Elect & Elect Engn, Chiba 2638522, Japan

来源：

CONTROL ENGINEERING PRACTICE | 2018年 / 78卷

基金：

中国国家自然科学基金;

关键词：

Burden distribution; Blast furnace; Decision-making strategy; Support vector regression; Case-matching model; SUPPORT VECTOR REGRESSION; MUTUAL INFORMATION; PREDICTIVE CONTROL; FEATURE-SELECTION; SIMULATION; MODEL; ALGORITHM; SYSTEM; RATIO;

D O I：

10.1016/j.conengprac.2018.06.019

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：186 / 195

页数：10

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