Toward a Better Understanding of Blast Furnace Raceway Blockages

Toward a Better Understanding of Blast Furnace Raceway Blockages
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DOI:
10.1002/srin.202000227
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发表时间:
2020-06
影响因子:
2.2
通讯作者:
S. Puttinger;H. Stocker
S. Puttinger;H. Stocker
中科院分区:
材料科学3区
文献类型:
--
作者:
S. Puttinger;H. Stocker

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分析了两座小型高炉发生回旋区堵塞的运行数据。这些堵塞主要是由于负重的不稳定运动造成的。在之前的一个项目中,作者调查了各种类型的跑道堵塞,并测试了不同的方法,以实现在非常早期阶段检测此类堵塞的可靠方法。及早发现严重堵塞事件对于避免风口损坏和触发操作反应非常重要,例如,关闭煤粉喷吹(PCI)分支。上一个项目中最有希望的算法已在高炉的过程控制系统中实施,并通过额外计算强度系数作为堵塞事件严重程度的指示器进行了增强。该系统目前正在收集自2019年初以来的跑道堵塞数据。由于目前已有良好的数据基础,本文介绍了堵塞事件统计的最新结果以及与高炉其他运行数据的关系。
Operational data of two small size blast furnaces (BFs) with respect to the occurrence of raceway blockages are analyzed. These blockages mainly occur due to erratic movements in the burden. In a previous project, the authors have investigated the various types of raceway blockages and tested different approaches to implement a reliable way to detect such blockages at a very early stage. Early detection of severe blockage events is important to avoid tuyere damages and trigger operational reactions like, e.g., the shutdown of pulverized coal injection (PCI) branches. The most promising algorithm of the previous project has been implemented in the process control system of the BFs and enhanced with the additional calculation of a strength factor serving as an indicator for the severity of a blockage event. The system is now collecting data on raceway blockages since the beginning of 2019. As there is now a good data basis available, herein, the latest findings on blockage event statistics and the correlation with other operational data of the BF are presented.