Abstract：At present, the mainstream "automatic steel-making" in domestic and foreign converter steel-making plants is mostly the traditional static fixed model framework of converter "one-button steel-making". Due to its high dependence on objective factors such as the stability of raw materials entering the furnace, the accuracy of the static model, and the adaptability of the gun position model, there are many drawbacks in practical production applications, which limits the development of converter automatic steel-making. In order to achieve a higher level of intelligence in automatic steel-making of converters, the research and development team has been conducting experiments on multiple large converters in recent years to develop an intelligent blowing control system based on real-time digital-driven and dynamic model architecture, which integrates application technologies such as furnace gas analysis, audio slagging, flame monitoring, and sub gun detection. The research and development team continues to conduct in-depth research on process difficulties such as slag operation, splashing back to dryness, and oxygen gun control during the blowing process. Through long-term data accumulation and observation practice, a digital-driven concept of "information perception, scientific analysis, intelligent decision-making, and feedback empowerment" has been refined and summarized to form a complete set of "mechanism model+empirical formula+data decision-making" digital-driven models, achieving the control of oxygen gun position, blowing flow rate, and The adaptive adjustment of parameters such as slag making and feeding, sub gun detection, etc. has achieved an "intelligent" blowing mode of "unmanned intervention" in the converter smelting process, basically solving the "pain points" problem of excessive dependence on raw materials and on-site operator experience in the converter process of steel-making plants. After the application of the converter intelligent converting system with data driven architecture, the oxygen lance position, flow and real-time slag condition in the converter converting process form a linkage, the slag melting effect is more stable, and the key process indicators such as dephosphorization rate, slag spilling rate, one turn qualification rate, FeO in slag, free oxygen in molten steel and so on are significantly improved, which has a positive effect on the control of Knock-down kit, iron and steel consumption in the converter process.
刘书超, 王国栋, 孙杰, 彭文, 张殿华, 袁国. 数据驱动的转炉智能吹炼控制系统的开发与应用[J]. 钢铁, 2023, 58(9): 92-103.
LIU Shuchao, WANG Guodong, SUN Jie, PENG Wen, ZHANG Dianhua, YUAN Guo. Development and application of digital-driven converter intelligent blowing control system[J]. Iron and Steel, 2023, 58(9): 92-103.
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