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作 者:李毅挺[1] 张弛 张军国[1] 周泉林 赵雷 LI Yiting;ZHANG Chi;ZHANG Junguo;ZHOU Quanlin;ZHAO Lei(Tangshan Iron and Steel Group Co.,Ltd.,Tangshan 063000,China)
机构地区:[1]唐山钢铁集团有限责任公司,河北唐山063000
出 处:《冶金自动化》2024年第2期131-138,共8页Metallurgical Industry Automation
摘 要:通过分析现有转炉冶炼检测单一技术存在的问题,在总结归纳的基础上,开发炉渣泡沫化程度在线量化评估技术和烟气分析的过程特征点在线预测技术,解决转炉黑箱问题,实现转炉冶炼可视化。根据检测技术识别结果,应用出钢口喷粉抑渣的智能干预技术和氧枪智能干预技术,实现转炉吹炼过程的稳定控制。技术应用后,转炉冶炼过程溢渣风险显著降低,杜绝了中后期的爆发性喷溅,降低了金属料损失。转炉冶炼过程控制稳定后,有利于提升终点温度和碳预测命中率。By analyzing the problems existing in the existing single technology of converter smelting detection,the online quantitative evaluation technology of slag foam degree and the online prediction technology of process feature points of flue gas analysis are developed on the basis of summary to solve the problem of converter black box and realize converter smelting visualization.Based on the identification results of the detection technology,the intelligent intervention technology of powder spraying and slag suppression at the tapping port and the intelligent intervention technology of the oxygen gun are used to achieve stable control of the converter blowing process.After the application of technology,the risk of slag overflow during the converter smelting process is significantly reduced,preventing explosive splashing in the middle and later stages,and reducing the loss of metal materials.After the control of the converter smelting process is stabilized,it is beneficial to improve the end-point temperature and carbon prediction hit rate.
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