智能制造视野下钢铁企业能源管控系统展望

doi:10.13228/j.boyuan.issn0449-749x.20200081

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Abstract There are some problems in the energy management and control system,such as multi-level production organization,discrete system architecture,experiential management and control,which make it difficult to achieve the goal of intelligent manufacturing in the iron and steel industry. In terms of methodology,the energy management and control system should build its own HCPS according to the paradigm of intelligent manufacturing in the process industry,learn the technical thinking of intelligent optimization of production processes and overall intelligent optimization of the entire production process,and learn from the concept of supply and demand interaction of Energy Internet,deployment of IT architecture that is synergistic with the enterprise as a whole. On this basis,the prospect of energy management and control system is described from production management model change,digital system establishment,optimized control functions,and refined energy management.

Key words： energy management and control intelligent manufacturing HCPS synergetic optimization fusion system

Received: 03 March 2020

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	DENG Wan-li

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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): 1-9.

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http://www.chinamet.cn/Jweb_gt/EN/10.13228/j.boyuan.issn0449-749x.20200081 OR http://www.chinamet.cn/Jweb_gt/EN/Y2020/V55/I11/1

[1] 殷瑞钰. “流”、流程网络与耗散结构——关于流程制造型制造流程物理系统的认识[J]. 中国科学,2018,48(2):136.(YIN Rui-yu. “Flow”,flow network and dissipative structure—Understanding of the physical system of manufacturing process of process manufacturing type[J]. Sci Sin Tech,2018,48(2):136.)
[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(2):1.(XIE Jian-xin,ZHANG Fu-ming. Intelligent manufacturing and intelligent design of iron and steel manufacturing process[J]. China Metallurgy,2019,29(2):1.)
[3] 邓万里. 湛钢煤气系统工艺特点及技术分析[J]. 钢铁,2016,51(11):79.(DENG Wan-li. Process features and technical analysis of gas system in Zhanjiang Iron and Steel Company[J]. Iron and Steel,2016,51(11):79.)
[4] 张琦,刘帅,徐化岩,等. 钢铁企业智慧能源管控系统开发与实践[J]. 钢铁,2019,54(10):125.(ZHANG Qi,LIU Shuai,XU Hua-yan,et al. Development and practice of smart energy management and control system in iron and steel works[J]. Iron and Steel,2019,54(10):125.)
[5] 柴天佑,丁进良. 流程工业智能优化制造[J]. 中国工程科学,2018,20(4):51.(CHAI Tian-you,DING Jin-liang. Smart and optimal manufacturing for process industry[J]. Strategic Study of CAE,2018,20(4):51.)
[6] 殷瑞钰. 关于智能化钢厂的讨论——从物理系统一侧出发讨论钢厂智能化[J]. 钢铁,2017,30(6):1.(YIN Rui-yu. A discussion on“smart”steel plant—View from physical system sides[J]. Iron and Steel,2017,30(6):1.)
[7] 周济,周艳红,王柏村,等. 面向新一代智能制造的人-信息-物理系统(HCPS)[J]. 工程,2019,5(4):624.(ZHOU Ji,ZHOU Yan-hong,WANG Bai-cun,er al. Human-Cyber-Physical Systems (HCPSs) in the context of new-generation intelligent manufacturing[J]. Engineering,2019,5(4): 624.)
[8] 中国金属学会智能制造标准化技术委员会. 钢铁工业智能制造体系架构白皮书(征求意见稿)[R/OL]. [2019-11-9]. http://ttbz.csm.org.cn/page/175.(Intelligent Manufacturing Standardization Technical Committee of the Chinese Society for Metals. White Paper on Intelligent Manufacturing Architecture of Iron and Steel Industry[R/OL]. [2019-11-9]. http://ttbz.csm.org.cn/page/175.)
[9] 郭朝晖. 钢铁行业与工业4.0[J]. 冶金自动化,2015,39(4):7.(GUO Zhao-hui. Iron and steel industry and industry 4.0[J]. Metallurgical Industry Automation,2015,39(4):7.)
[10] 蔡九菊,王建军,陆钟武,等. 钢铁企业物质流与能量流及其相互关系[J]. 东北大学学报(自然科学版),2006,27(9):979.(CAI Jiu-ju,WANG Jian-jun,LU Zhong-wu,et al. Material flow and energy flow in iron and steel industry and correlation between them[J]. Journal of Northeastern University(Natural Science),2006,27(9):979.)
[11] 丁进良,杨翠娥,陈远东,等. 复杂工业过程智能优化决策系统的现状与展望制[J]. 自动化学报,2018,44(11):1931.(DING Jin-liang,YANG Cui-e,CHEN Yuan-dong,et al. Research progress and prospects of intelligent optimization decision making in complex industrial proces[J]. Acta Auto-matica Sinica,2018,44(11):1931.)
[12] 董朝阳,赵俊华,文福拴,等. 从智能电网到能源互联网:基本概念与研究框架[J]. 电力系统自动化,2014,38(15):1.(DONG Zhao-yang,ZHAO Jun-hua,WEN Fu-shuan,et al. From smart grid to energy internet:Basic concept and research framework[J]. Automation of Electric Power Systems,2014,38(15):1.)
[13] 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.)
[14] 张雄,蔡波,王军,等. GPA组态式在线性能计算软件[J]. 热力发电,2009,38(5):84.(ZHANG Xiong,CAI Bo,WANG Jun,et al. Online performance calculation software baser on GPA configuration[J]. Thermal Power Generation,2009,38(5):84)
[15] 刘精宇,蔡九菊,杨靖辉. 钢铁联合企业电力的分析和探讨[J]. 中国冶金,2013,23(8):48.(LIU Jing-yu,CAI Jiu-ju,YANG Jing-hui. Analysis and research on power of integrated iron and steel enterprises[J]. China Metallurgy,2013,23(8):48.)