Research and Development of a Big Data Application Platform for Intelligent Blast Furnace Intensive Management and Control

被引:1
|
作者
Fei, Jing [1 ,2 ]
Jiang, Xin [5 ,6 ]
Yang, Hongwei [3 ]
Fan, Kai [6 ]
Che, Yuman [1 ,2 ]
Sun, Bo [4 ]
Guo, Tianyong [1 ,2 ]
机构
[1] State Key Lab Met Mat Marine Equipment & Applicat, Anshan 114009, Liaoning, Peoples R China
[2] Ansteel Iron & Steel Res Inst, Anshan 114009, Liaoning, Peoples R China
[3] Angang Steel Co Ltd, Sintering Plant, Anshan 114021, Liaoning, Peoples R China
[4] Gen Ironmaking Plant Angang Steel Co Ltd, Anshan 114021, Liaoning, Peoples R China
[5] Northeastern Univ, Key Lab Ecol Met Multimet Mineral, Minist Educ, Shenyang 110819, Peoples R China
[6] Northeastern Univ, Sch Met, Shenyang 110819, Peoples R China
来源
ACS OMEGA | 2024年 / 9卷 / 23期
基金
中国国家自然科学基金;
关键词
EXPERT SYSTEM;
D O I
10.1021/acsomega.4c01162
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The blast furnaces of Anshan Iron and Steel have completed large-scale modernization, and a large amount of information technology has been popularized and applied to the process of blast furnaces. This paper takes the Anshan Iron and Steel blast furnace group as the research background. Based on big data and industrial Internet technology, combining the smelting process mechanism of blast furnace production and using artificial intelligence, cloud analysis, and other technologies, the data management platform was used to effectively integrate the data of each process of the blast furnace and design the data asset catalogue. The big data application platform for the intensive control of the blast furnace was established. The data were in multidimensional in-depth mining, and the intelligent application model of the blast furnace was established. The visual intelligent monitoring of the safe production and operation of the blast furnace was realized, and the production operation of the blast furnace was guided. The overall information and intelligent level of production operation and management of the blast furnace have been improved.
引用
收藏
页码:24674 / 24684
页数:11
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