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基于烟气分析获得烟气流量及成分,应用碳平衡原理构建的碳积分数学模型可动态预测熔池中的碳含量;对炉气信息延迟性、炉气量、枪位系数和脱碳速率拐点a与b等参数的修正,能够提高熔池碳含量动态预报的精度。在熔池碳含量动态预报的基础上,基于热平衡理论和碳氧反应热力学构建了熔池温度动态预报模型,通过脱碳速率拐点a和b的修正以及分阶段模型的构建,能够提高熔池温度的预报精度。在此基础上采用Visual Basic 6.0和SQL Server 2000数据库构建了熔池碳含量和温度动态预报系统,利用该系统对一定时期的46炉冶炼数据进行了离线运行,结果表明:终点w(C)<0.2%时,预报偏差小于0.02%命中率为84.8%,模型终点温度预报偏差小于20℃命中率为84.8%,C-T双命中率达到73.9%,基本满足冶炼对终点命中率的要求。
The flue gas flow rate and its composition were obtained based on the flue gas analysis. The carbon integral mathematical model constructed based on the principle of carbon balance can predict the carbon content in the molten pool dynamically. The inflection point a of furnace gas information delay, furnace gas quantity, gun position coefficient and decarburization rate a And b and other parameters of the amendment, can improve the prediction accuracy of molten pool carbon content. Based on the dynamic prediction of the carbon content in the molten pool, a dynamic model for predicting the temperature of the molten pool was constructed based on the theory of thermal equilibrium and the thermodynamics of carbon and oxygen reaction. Through the correction of the inflection points a and b and the construction of the staged model, Forecast accuracy. On this basis, a dynamic prediction system of molten pool carbon content and temperature was constructed by using Visual Basic 6.0 and SQL Server 2000 database. Using this system, 46 furnace smelting data were run offline for a certain period of time. The results showed that the endpoint w (C) 0.2%, the prediction error is less than 0.02% and the hit rate is 84.8%. The prediction accuracy of the model endpoint temperature is less than 20 ℃, the hit rate is 84.8% and the double hit rate of CT reaches 73.9%.