摘要
为了降低高炉炼铁系统原料成本,实现自铁矿石采购到高炉炼铁全过程协同优化,开发了一个高炉炼铁全系统、全流程优化配矿平台。全流程是指从铁矿石采购到高炉产出铁水的整个工艺流程,全系统是指钢铁企业所有高炉炼铁整体系统。优化配矿平台包括数据库系统、单座高炉优化配矿平台、全系统高炉优化配矿平台、生产数据采集与分析平台4部分。平台以铁矿石为出发点,以高炉炼铁工艺计算、物料平衡计算为基础,采用规划求解、线性回归、多元非线性回归、神经网络等算法建立数据分析计算模型,通过对数据的统计分析形成优化配矿决策。应用平台可以实现铁矿石采购、原矿石加工处理、选矿、烧结、球团、高炉工序的一体化优化配矿,可在特定时间、特定条件下寻优给出满足高炉生产要求且成本最低的铁矿石采购与配置方案。同时,优化配矿平台可测算出高炉系统各中间产品成本及铁水原料的成本,测算出生产成本与计划成本的偏差,管理者可依据对比数据的偏差和市场条件的变化重新调整优化配矿方案。平台应用于包钢,实现了铁矿石采购与配置管理智能化、数字化、精准化,在满足高炉生产要求的前提下通过平台优化配矿降低了包钢铁水原料成本,降低了包钢铁矿石采购成本,给企业带来了可观的经济效益和社会效益。
In order to realize the integration and collaborative analysis of blast furnace ironmaking system from iron ore procurement and blast furnace ore blending optimization,this paper develops a blast furnace ironmaking whole system and whole process optimization ore blending platform for the front ironmaking system.The whole process refers to the whole process from iron ore procurement to blast furnace molten iron output.The whole system refers to the overall system of all blast furnace ironmaking in iron and steel enterprises.The optimized ore blending platform includes four parts,which are database system,single blast furnace optimized ore blending platform,whole system blast furnace optimized ore blending platform and production data acquisition and analysis platform.The platform takes iron ore as the starting point,based on the calculation of blast furnace ironmaking process and material balance,uses planning solution,linear regression,multivariate nonlinear regression,neural network and other algorithms to establish data analysis and calculation model,and forms optimal ore blending decision through statistical analysis of data.The system can realize the integrated optimization of iron ore procurement,raw ore processing,mineral processing,sintering,pellet and blast furnace process,and provides the iron ore procurement and configuration scheme that meets the requirements of blast furnace production and has the lowest cost under specific time and specific conditions.At the same time,the cost of intermediate products and molten iron raw materials in the blast furnace system can be calculated by optimizing ore distribution platform,and the deviation between production cost and planned cost also can be calculated.Managers can adjust and optimize the ore blending scheme according to the deviation of comparative data and the change of market conditions.The application of the platform in Baotou Steel realizes the intelligent,digital and accurate management of iron ore procurement and configuration.Under the premise of meeting the requirements of blast furnace production,the raw material cost of molten iron and the procurement cost of iron ore in Baotou Steel are reduced by optimizing the distribution of platform,which brings considerable economic and social benefits to the enterprise.
作者
何晓义
刘周利
吴胜利
赵彬
杨帆
HE Xiao-yi;LIU Zhou-li;WU Sheng-li;ZHAO Bin;YANG Fan(Technical Center,Steel Union Co.,Ltd.,Baotou Steel(Group)Corp.,Baotou 014010,Nei Mongol,China;School of Metallurgical and Ecological Engineering,University of Science and Technology Beijing,Beijing 100083,China)
出处
《钢铁》
CAS
CSCD
北大核心
2022年第2期28-35,共8页
Iron and Steel
关键词
高炉
配矿
优化
炼铁成本
系统
blast furnace
ore blending
optimization
ironmaking cost
system