|
|
Application of industrial Internet platform for blast furnace iron making |
LI Hong-yang1, LIU Xiao-jie1, LI Xin1, BU Xiang-ping2, LI Hong-wei1, LÜ Qing1 |
1. College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, Hebei, China; 2. Hangzhou Pailie Technology Co., Ltd., Hangzhou 310000, Zhejiang, China |
|
|
Abstract With the continuous improvement of the technology of the industrial internet platform, the digitalization and intelligent upgrading of the blast furnace ironmaking sector is imperative. To solve the problems in data collection, storage, analysis, and application in the field of blast furnace ironmaking, it is necessary to build an industrial internet platform for blast furnace ironmaking. The current status of industrial internet platforms and builds an industrial internet platform for blast furnace ironmaking in response to the actual needs of data analysis in the field of ironmaking were described. The article explains the logic of the edge layer, infrastructure layer, platform layer, and application layer in the overall architecture of the platform. The functions of data transmission, data storage, data processing, data scheduling, business modeling, data interaction and analysis, and intelligent applications are realized through industrial internet technology. The process of building smart applications with the starting point of solving real pain points in production is explored. The establishment of an industrial internet platform for blast furnace ironmaking has important practical significance for the transformation and upgrading of the ironmaking industry.
|
Received: 22 April 2021
|
|
|
|
[1] 肖鹏. 高炉炼铁技术创新实践及未来展望[J]. 钢铁, 2021, 56(6): 10. (XIAO Peng. Innovation practice and future prospects of blast furnace ironmaking technology[J]. Iron and Steel, 2021, 56(6): 10.) [2] 颉建新,张福明. 钢铁制造流程智能制造与智能设计[J]. 中国冶金, 2019,29(3):1.(XIE Jian-xin, ZHANG Fu-ming. Intelligent manufacturing and intelligent design of iron and steel manufacturing process[J]. China Metallurgy, 2019, 29(3): 1.) [3] 刘颂,刘福龙,刘二浩,等. 融合大数据技术和工艺经验的高炉参数优化[J]. 钢铁, 2019, 54(11): 16. (LIU Song,LIU Fu-long,LIU Er-hao,et al. Optimization of blast furnace parameters based on big data technology and process experience[J]. Iron and Steel, 2019, 54(11): 16.) [4] 王春梅,周东东,徐科,等. 综述钢铁行业智能制造的相关技术[J]. 中国冶金, 2018,28(7):1.(WANG Chun-mei, ZHOU Dong-dong, XU Ke, et al. Review of intelligent manufacturing technology in steel industry[J]. China Metallurgy, 2018, 28(7): 1.) [5] 张伟阳, 郝良元, 钟文达, 等. 基于大数据技术的炉缸侵蚀模型[J]. 钢铁, 2020, 55(8): 160. (ZHANG Wei-yang, HAO Liang-yuan, ZHONG Wen-da, et al. Erosion model of hearth based on big data technology[J]. Iron and Steel, 2020, 55(8): 160.) [6] 毕英杰. 钢铁企业MES的作用及其应用[J]. 现代制造, 2006(3): 48. (BI Ying-jie. The role of MES in steel enterprises and its application[J]. Maschinen Markt, 2006(3): 48.) [7] 施灿涛,尹静,李铁克. 钢铁企业ERP与MES集成方法研究及应用[J]. 冶金自动化, 2008, 32(2): 58. (SHI Can-tao, YIN Jing, LI Tie-ke. Study and application of the method of integration between ERP and MES in iron and steel enterprise[J]. Metallurgical Industry Automation, 2008, 32(2): 58.) [8] 张伟阳, 刘小杰, 李宏扬, 等. 基于大数据技术的炉缸状态可视化[J]. 钢铁, 2021, 56(7): 38. (ZHANG Wei-yang, LIU Xiao-jie, LI Hong-yang, et al. Visualization of hearth status based on big data technology[J]. Iron and Steel, 2021, 56(7): 38.) [9] 邓万里. 智能制造视野下钢铁企业能源管控系统展望[J]. 钢铁, 2020, 55(11): 1. (DENG Wan-li. Prospect of energy management and control system in iron and steel industry under intelligent manufacturing[J]. Iron and Steel, 2020, 55(11): 1.) [10] 刘玠. 人工智能推动冶金工业变革[J]. 钢铁, 2020,55(6):1.(LIU Jie. Artificial intelligence drives changes in metallurgical industry[J]. Iron and Steel, 2020, 55(6): 1.) [11] 李喜光,钟春华,李智文. 高炉长寿数据分析平台的设计和实现[J]. 南方冶金, 2017(5): 44. (LI Xi-guang, ZHONG Chun-hua, LI Zhi-wen. Design and implementation of data analysis platform for long campaign of BF[J]. Southern Metals, 2017(5): 44.) [12] 孙小东. 高炉生产数据分析平台的开发[J]. 工业加热, 2017(5): 60. (SUN Xiao-dong. Development of data analysis platform for blast furnace production[J]. Industrial Heating, 2017(5): 60.) [13] 张国菊. 钢铁企业炼铁生产数据跟踪平台建设[J]. 现代工业经济和信息化, 2020, 10(6): 89. (ZHANG Guo-ju. Construction of production data tracking platform for iron and steel enterprises[J]. Modern Industrial Economy and Informationization, 2020, 10(6): 89.) [14] 孙小东,王劲松,李强,等. 工业互联网平台的架构设计[J]. 工业加热, 2020, 49(5): 48. (SUN Xiao-dong, WANG Jin-song, LI Qiang, et al. Architecture design of industrial internet platform[J]. Industrial Heating, 2020, 49(5): 48.) [15] 赵宏博,刘伟,李永杰,等. 基于炼铁大数据智能互联平台推动传统工业转型升级[J]. 大数据, 2017, 3(6): 15. (ZHAO Hong-bo, LIU Wei, LI Yong-jie, et al. Transformation and upgrade of the traditional industry based on big data intelligent interconnection platform for iron-making[J]. Big Data Research, 2017, 3(6): 15.) [16] 李君,邱君降,窦克勤. 工业互联网平台参考架构、核心功能与应用价值研究[J]. 制造业自动化, 2018(6): 103. (LI Jun, QIU Jun-jiang, DOU Ke-qin. Research on the reference architecture, core function and application value of industrial internet platform[J]. Manufacturing Automation, 2018(6):103.) [17] 王磊. 面向传统大型制造企业的大数据平台解决方案研究与设计[J]. 冶金自动化, 2020, 44(3):1. (WANG Lei. A design methodology of big data platform solution for traditional large manufacturing enterprise[J]. Metallurgical Industry Automation, 2020, 44(3):1.) [18] Menon K, Hannu Kärkkäinen, Wuest T. Role of openness in industrial internet platform providers' strategy[C]// IFIP International Conference on Product Lifecycle Management. Seville: Springer, Cham, 2017: 92. [19] 肖琳琳. 国内外工业互联网平台对比研究[J]. 信息通信技术, 2018, 12(3): 27. (XIAO Lin-lin. A comparative study on the industrial internet of things platform at home and abroad[J]. Information and Communications Technologies, 2018, 12(3): 27.) [20] 刘丕群,刘克松,高智伟. 我国工业互联网平台高质量发展面临的问题与对策[J]. 电子技术与软件工程, 2018(24): 18. (LIU Pi-qun, LIU Ke-song, GAO Zhi-wei. Problems and countermeasures for high quality development of industrial internet platform in my country[J]. Electronic Technology and Software Engineering, 2018(24): 18.) [21] 王建民. 工业大数据技术综述[J]. 大数据, 2017, 3(6): 5. (WANG Jian-min. Survey on industrial big data[J]. Big Data Research, 2017, 3(6): 5.) [22] 纪恒,张伟. 炼铁系统大数据应用设想[J]. 北方钒钛, 2019(1): 10. (JI Heng, ZHANG Wei. The idea of big data applicationin ironmaking system[J]. Northern Vanadium and Titanium, 2019(1): 10.) [23] 严伟利. 工业大数据在炼铁生产过程中的应用[J]. 建筑工程技术与设计, 2020(15): 471. (YAN Wei-li. Application of industrial data in the process of iron making[J]. Architectural Engineering Technology Design, 2020(15): 471.) [24] 王新东,李建新,刘宏强, 等. 河钢创新技术的研发与实践[J]. 河北冶金, 2020(2): 1. (WANG Xin-dong, LI Jian-xin, LIU Hong-qiang, et al. Reseach and practice of innovative technology in HBIS[J]. Hebei Metallurgy, 2020(2):1.) [25] 李长江. 工业大数据在炼铁生产过程中的应用[J]. 商品与质量, 2020(15): 11. (LI Chang-jiang. Application of industrial data in the process of iron making[J]. Merchandise and Quality, 2020(15): 11.) [26] 黄建波,刘宝清. 基于云计算的智能炼铁核心技术开发[C]//智能技术在炼铁上的应用研讨会论文集. 嘉兴: 河北省金属学会,2019: 252. (HUANG Jian-bo, LIU Bao-qing. Intelligent ironmaking core technology development based on cloud computing[C]//Application Seminar Papers on Intelligent Technology in Ironmaking. Jiaxing:Hebei Province Society for Metals, 2019: 252.) [27] 赵伟. 鞍钢工业互联网平台建设及大数据应用的探索[J]. 中国钢铁业, 2019(7): 43. (ZHAO Wei. Exploration of Angang industry Internet platform construction and big data application[J]. China Steel, 2019(7): 43.) |
[1] |
XIAO Peng. Innovation practice and future prospects of blast furnace ironmaking technology[J]. Iron and Steel, 2021, 56(6): 10-14. |
[2] |
ZHANG Zhaohui,XU Kaiqiang,XING Xiangdong,LU Huihui,QUAN Jie. Research progress of influence factors on lowtemperature reduction degradation[J]. JOURNAL OF IRON AND STEEL RESEARCH , 2021, 33(6): 453-460. |
[3] |
CHEN Shaofei1,LIU Xiaojie1,LI Hongyang1,BU Xiangping2,LV Qing1,LIU Fulong3. Outlier screening of ironmaking data in blast furnace[J]. JOURNAL OF IRON AND STEEL RESEARCH , 2021, 33(6): 467-475. |
[4] |
ZHANG Jian-liang, JIANG Chun-he, LI Ke-jiang, BI Zhi-sheng. Research situation and prospect of interfacial wetting behavior of iron-coke-slag system in blast furnace[J]. Iron and Steel, 2021, 56(11): 10-18. |
[5] |
WANG Min, REN Rong-xia, DONG Hong-wang, ZHANG Guang-jie, LIU Si-yuan. Latest technology of melting reduction ironmaking process and discussion of process route choice[J]. Iron and Steel, 2020, 55(8): 145-150. |
[6] |
WANG Jin-liang, DAI Xi, ZHANG Wei, GONG Shu-shan, ZHOU Guo-zhi, ZHANG Wen-hai. Advances of non-blast furnace flash iron-making researches[J]. Iron and Steel, 2020, 55(4): 100-105. |
|
|
|
|