【作者】 景涛；

【导师】 范晓慧； 陈许玲；

【作者基本信息】 中南大学 ， 钢铁冶金， 2010， 硕士

【摘要】 高碱度烧结矿搭配酸性球团矿和(或)块矿的形式已是我国高炉公认的合理炉料结构。氧化球团矿因其强度好、粒度均匀、铁品位高以及冶金性能良好等优点,在高炉炉料中的比例越来越高。造球作为球团生产过程的重要工序之一,生球质量的好坏在很大程度上影响球团矿质量。但目前国内球团矿生产中因铁精矿和膨润土的质量波动以及生产过程的不稳定,生球质量波动很大。因此,稳定控制生球质量具有十分重要的现实意义。本研究结合国内某球团厂实际生产情况,以氧化球团生产中精矿干燥、配料、造球工段作为研究对象,采用Visual C++.NET和Matlab混合编程的方式,结合ADO数据库编程技术,研究开发出铁精矿干燥-配料-造球控制指导系统。系统由精矿干燥控制指导、配料控制指导和造球控制指导等三个子系统组成,实现了干燥后精矿水分的稳定、铁精矿和膨润土配料量的稳定、生球水分和生球产量的稳定。建立了干燥温度计算模型,实现了对喷煤量以及干燥水分的前馈和反馈控制指导；建立了球团矿化学成分预报模型,实现了对球团矿化学成分的提前预报；建立了理论补加水量计算模型,实现了对造球水分的前馈和反馈控制指导。经过仿真运行表明,系统模型性能达到系统预定要求。建立了基于数据库技术的控制指导专家系统知识库,研究了知识库知识获取方式、表示方式和组织方式。针对球团生产过程控制特点,采用人工获取的方式获取知识,用产生式规则表示法表示知识,采用数据库技术进行知识组织,通过系统仿真判断,控制指导专家系统知识覆盖率达到100%,操作指导的准确率达到90.39%。本系统软件设计界面友好、功能较全,使用比较方便,具有强大的存储、计算、预报和操作指导等功能,为实现氧化球团生产智能控制奠定了良好的基础,也为铁矿球团制备过程控制指导系统的开发提供了参考。更多还原

【Abstract】 The way of high-basicity sinter combined with acid pellets and/or lump has been recognized as reasonable burden structure for blast furnace in China. Oxide pellet proportion in blast furnace burden grows because of its good strength, uniform size, high iron grade and metallurgical properties. Quality of green ball has a great effect on quality of product. Therefore, balling is considered as an important process in pellet production. However, quality of green ball in domestic pellet production is volatile because of the quality fluctuation of iron ore concentrate and bentonite as well as instability of production process. Therefore, it is significant to keep the stability of green ball quality.Control guidance system of iron ore drying-batching-balling process was developed with Visual Studio.Net, Matlab and ADO, based on actual production of a pellet plant. The system consists of three subsystems, iron ore concentrate drying control guidance, batching control guidance and balling control guidance. The stable controls of moisture of iron ore concentrate dried, dosage of iron ore concentrate and bentonite, moisture and yield of green ball are realized.Drying temperature computational model is established, by which feedforward and feedback control guidance of pulverized coal injection and drying moisture are realized. Prediction model of pellet chemical composition is established, by which prediction of pellet chemical composition is achieved. Computational model of theoretical added amount of water is established, by which feedforward and beedback control guidance of balling added water is realized. The result of simulation test shows that performance indexes of models meet the intended requirements.Database of control guidance expert system is established based on database technology. Methods of knowledge acquisition, representation and organization are studied. Manual work, production rules and database technology are chosen for them respectively for the characteristics of process control of pellet production. The result of simulation test shows that knowledge coverage of control guidance expert system is 100%, while hit rate is 90.39%.The software has friendly interface, complete functions and convenient operation. It has powerful functions in memory, calculation, prediction and control guidance. This system not only lays a good foundation for intelligent control of oxide pellet production, but also gives a reference for development of process control system of iron ore pellet preparation.更多还原