2500m^3高炉料面3D微波成像与布料优化控制系统的研究  

Study on the 3D microwave imaging and the burden distribution optimization control system in 2 500 m^3 blast furnace

作　　者：杜洪缙[1] 

机构地区：[1]宝钢不锈钢有限公司,上海200431

出　　处：《世界钢铁》2014年第3期1-6,共6页World Iron & Steel

摘　　要：采用传统机械探尺监视高炉料面技术无法实现连续监视和及时发现异常情况。为解决该问题,宝钢不锈钢有限公司炼铁厂在2 500 m3高炉料面监测过程中,用分布式阵列雷达技术测量了高炉料面数据,并用贝叶斯数据融合技术将高炉料型实测数据与布料理论计算数据相融合,得到了精确的高炉料面形状。采用料线旋转方法对高炉料面实现3D微波成像,并采用迭代法和最小误差法实现了高炉布料效果的动态显示与闭环优化控制,生产实际应用中获得了良好的效果。Traditional monitoring equipment in blast furnace is unable to achieve the continuous dates and to predict the abnormal conditions timely. For solving this problem, in the 2 500 m^3 blast furnace of Baosteel stainless steel Co. , burden distribution in a blast furnace is measured by digital array radar technology. Bayes date fusion technology, in which system integration design including the theoretical calculation data and the real measured data, shapes the burden distribution in a blast furnace accurately. The dynamic display of the burden distribution and loop optimal control method are realized, by using the rotation of the accurate line which shapes the 3D microwave imaging of burden distribution, the iterative method and the minimum error method. Through the actual application of production, this system obtained excellent effectiveness.

关 键 词：数据融合 3D微波成像 布料优化控制 

分 类 号：TF325.4[冶金工程—冶金机械及自动化]