关键词: 声呐化渣；火焰分析；烟气分析；智能炼钢；一键式炼钢 

Abstract: Converter smelting process control and end-point control are key to affecting steelmaking production efficiency, product quality, production cost and other indicators. However, converter smelting control of most steel companies mainly relies on manual experience. Zhongtian Iron and Steel Group Co., Ltd. and Hunan RAMON Technology Co., Ltd. took the lead in researching and developing the non-sublance converter intelligent steelmaking system based on sonar slagging, flame analysis and flue gas analysis, realizing the whole process of “one-click” steelmaking without manual intervention under the circumstance of non-sublance. The system has achieved good results in the automation control of the smelting process. At the first turning down, the hit rate of carbon mass fraction (≤0.15 %) prediction within the error range of ±0.02 % was 90 %, the hit rate of temperature prediction within the error range of  ±15 ℃ was 87 %,and the hit rate of phosphorus mass fraction prediction within the error range of ±0.005 % was 90 %. In addition, the accuracy rate of splash recognition reached 99 %. These achievements play a positive role in promoting the intelligent steelmaking development of iron and steel enterprises.

Key words: sonar slagging, flame analysis, flue gas analysis, intelligent steelmaking, oneclick steelmaking