The purpose of intelligent manufacturing in iron and steel industry is to optimize the structure and process of iron and steel process so as to realize dynamic, orderly, coordinated and continuous operation and multi-objective optimization in a whole. In this paper, the main contents and key technologies of structural optimization and program optimization in steelworks are introduced, including multiPDCA closed loop for quality management and control, integrated planning and scheduling, coordination between material flow and energy flow, and multi-unit coordination optimization. Some common problems are analyzed, which the steel industry needs to overcome to make breakthrough in promoting intelligent manufacturing and some promising implementation paths are proposed.
[1] 殷瑞钰. 冶金流程工程学[M]. 北京:冶金工业出版社, 2009.
[2] 殷瑞钰. 冶金流程集成理论与方法[M]. 北京:冶金工业出版社, 2013.
[3] 殷瑞钰. 过程工程与制造流程[J]. 钢铁, 2014, 49(7):15-22.
[4] 殷瑞钰. 论钢厂制造过程中能量流行为和能量流网络的构建[J]. 钢铁, 2010, 45(4):1-9.
[5] 殷瑞钰. 从开放系统、耗散结构到钢厂的能量流网络化集成[J]. 中国冶金, 2010, 20(8):2-14.
[6] 殷瑞钰. 关于智能化钢厂的讨论——从物理一侧出发讨论钢厂智能化[J]. 钢铁, 2017, 52(6):1-12.
[7] 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:技术科学, 2018, 48(2):136-142.
[8] 王飞跃. 平行控制:数据驱动的计算控制方法[J]. 自动化学报, 2013, 39(4):293-302.
[9] 商秀芹, 王飞跃, 孙彦广, 等. 平行钢铁:从钢铁制造的信息化到智能化体系研究[C]//第九届全国平行管理会议. 大连, 2018.
