BOF endpoint prediction based on the flame radiation by hybrid SVC and SVR modeling

被引：51

作者：

Shao, Yanming ^{[1
]}

Zhou, Muchun ^{[1
]}

Chen, Yanru ^{[1
]}

Zhao, Qi ^{[1
]}

Zhao, Shuan ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, 200 Xiaolingwei St, Nanjing 210094, Jiangsu, Peoples R China

来源：

OPTIK | 2014年 / 125卷 / 11期

基金：

中国国家自然科学基金; 国家高技术研究发展计划(863计划);

关键词：

Basic oxygen steelmaking; Endpoint prediction; Flame radiation; epsilon-SVR; SVC;

D O I：

10.1016/j.ijleo.2013.10.094

中图分类号：

O43 [光学];

学科分类号：

070207 [光学];

摘要：

A new non-contact method for predicting the endpoint carbon content of different kinds of basic oxygen furnace (BOF) vessel sizes is presented in this paper. The proposed model is based on the spectral distribution of the flame at the vessel mouth with support vector machine (SVM). Two models are constructed with SVM in this paper: a SVC model is used to classify the whole blowing phases based on the mechanism analysis, and an epsilon-SVR model is constructed to map the flame spectrum variation into the state of the molten steel in the iron bath. The simulation results on industrial datasets show that the proposed method can offer an accurate as well as convenient way to improve the performance of BOF endpoint control compared with current methods of endpoint carbon content prediction. (C) 2013 Elsevier GmbH. All rights reserved.

引用

页码：2491 / 2496

页数：6

共 15 条

[1]

Adapting a mathematical model of the end of the blow of a converter heat to existing conditions in the oxygen-converter shop at the Magnitogorsk Metallurgical Combine [J].