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
相关论文
共 50 条
  • [41] Development and Application of Big Data Platform for Garlic Industry Chain
    Chen, Weijie
    Feng, Guo
    Zhang, Chao
    Liu, Pingzeng
    Ren, Wanming
    Cao, Ning
    Ding, Jianrui
    CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 58 (01): : 229 - 248
  • [42] Dynamic Prediction Research of Silicon Content in Hot Metal Driven by Big Data in Blast Furnace Smelting Process under Hadoop Cloud Platform
    Han, Yang
    Li, Jie
    Yang, Xiao-Lei
    Liu, Wei-Xing
    Zhang, Yu-Zhu
    COMPLEXITY, 2018,
  • [43] Development of blast furnace operation management system
    College of Material Science and Engineering, Chongqing University, Chongqing 400044, China
    不详
    Kang T'ieh, 2007, 5 (16-18):
  • [44] OPTIMIZATION ANALYSIS BASED ON INTELLIGENT CONTROL OF THE PROCESS OF THE BLAST FURNACE
    Zhang, C. N.
    Li, Y. R.
    METALURGIJA, 2019, 58 (1-2): : 7 - 10
  • [45] DEVELOPMENT AND APPLICATION OF BLAST FURNACE OPERATION CONTROL SYSTEM IN HIROHATA WORKS.
    Fukuda, Takahiro
    Naito, Fumio
    Himeda, Masataka
    Suetaki, Tetsuro
    Nishio, Michitaka
    Nishikawa, Kiyoshi
    Kanabe, Mitsuo
    Tetsu-To-Hagane/Journal of the Iron and Steel Institute of Japan, 1984, 70 (01): : 51 - 57
  • [46] Research on the maturity of big data management capability of intelligent manufacturing enterprise
    Ge, Jing
    Wang, Feng
    Sun, Hongxia
    Fu, Liuliu
    Sun, Mingwei
    SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE, 2020, 37 (04) : 646 - 662
  • [47] Research on Big Data Intelligent Application Effect Evaluation Overall Technology
    Yan, Zhong
    Guo Wensi
    Zhong Yanling
    Sun Maosheng
    2020 INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2020), 2020, : 78 - 81
  • [48] Design of Enterprise Economic Management Intelligent Terminal for Big Data Application
    Fang, Ying
    Ouyang, Shaojuan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [49] Application of Big Data Processing Technology in the Intelligent Network Management System
    Zhou, Pingli
    Yang, Zhiming
    Li, Ling
    Qiu, Shipeng
    WEB TECHNOLOGIES AND APPLICATIONS, APWEB 2015 WORKSHOPS, 2015, 9461 : 26 - 34
  • [50] DEVELOPMENT OF BLAST FURNACE CONTROL TECHNIQUE.
    Anon
    Research and Development in Japan Awarded the Okochi Memorial Prize, 1985, : 43 - 46