林文辉, 焦树强, 孙建坤, 周凯啸, 刘敏, 苏醒, 刘青. 转炉吹炼后期碳含量预报的改进指数模型[J]. 工程科学学报, 2020, 42(7): 854-861. DOI: 10.13374/j.issn2095-9389.2019.11.23.001
引用本文: 林文辉, 焦树强, 孙建坤, 周凯啸, 刘敏, 苏醒, 刘青. 转炉吹炼后期碳含量预报的改进指数模型[J]. 工程科学学报, 2020, 42(7): 854-861. DOI: 10.13374/j.issn2095-9389.2019.11.23.001
LIN Wen-hui, JIAO Shu-qiang, SUN Jian-kun, ZHOU Kai-xiao, LIU Min, SU Xing, LIU Qing. Modified exponential model for carbon prediction in the end blowing stage of basic oxygen furnace converter[J]. Chinese Journal of Engineering, 2020, 42(7): 854-861. DOI: 10.13374/j.issn2095-9389.2019.11.23.001
Citation: LIN Wen-hui, JIAO Shu-qiang, SUN Jian-kun, ZHOU Kai-xiao, LIU Min, SU Xing, LIU Qing. Modified exponential model for carbon prediction in the end blowing stage of basic oxygen furnace converter[J]. Chinese Journal of Engineering, 2020, 42(7): 854-861. DOI: 10.13374/j.issn2095-9389.2019.11.23.001

转炉吹炼后期碳含量预报的改进指数模型

Modified exponential model for carbon prediction in the end blowing stage of basic oxygen furnace converter

  • 摘要: 介绍了几种主要的转炉烟气分析碳含量预报模型,并分析了其中的指数衰减模型及其三种改进算法的基本原理和优缺点。在综合三种模型优点的基础上,提出了基于“极限碳含量拟合+曲线同步更新”算法的改进指数模型。首先,利用历史炉次吹炼后期的脱碳氧效率和碳含量数据,通过指数拟合得到“历史脱碳曲线”和极限碳含量参数;其次,使用当前炉次吹炼中期的最大脱碳氧效率值对“历史脱碳曲线”的特征参数进行替换,得到当前炉次吹炼后期的“参考脱碳曲线”,再对其进行归一化处理,得到归一化的“参考脱碳曲线”;然后,采用多点校正的方法,计算当前炉次吹炼至各等距离校正点时“参考脱碳曲线”的脱碳量,并根据计算脱碳量与转炉实际脱碳量的偏差,对熔池碳含量及脱碳曲线参数进行计算与校正,得到“计算脱碳曲线”;最后,通过逐次迭代计算对“参考脱碳曲线”和“计算脱碳曲线”进行同步更新,进而实现对转炉吹炼后期熔池碳含量的精准预报。研究表明,改进的指数模型具有较高的准确率,终点碳含量预报误差在±0.02%范围内的命中率达到90%。

     

    Abstract: Several common models for carbon prediction were discussed based on an off-gas analysis of the basic oxygen furnace (BOF) process, and the basic principles, advantages and disadvantages of three exponential decay models with different correction algorithm were analyzed respectively. An improved exponential model of “critical carbon content fitting + update curves simultaneously” algorithm was established by combining the advantages of previous algorithms. Firstly, the historical decarburization curve in the end blowing stage and the critical carbon content in the bath were obtained by exponentially fitting the decarburization data of historical heats. Secondly, the reference decarburization curve was obtained by replacing the corresponding parameter of the historical decarburization curve with the maximum specific decarburization rate in the middle blowing stage of the real-time heat. Subsequently, the specific decarburization rates of the historical decarburization curve and the reference decarburization curve were converted to dimensionless values within the range of 0 to 1 by normalizing. Then, a multi-point correction method was used to correct the calculation results of the carbon content in the bath and repeatedly modify the key parameters of the calculated decarburization curve, according to the deviation of the removed carbon amount between the normalized reference curve and the actual process. The key parameters of the calculated and the reference decarburization curves were updated simultaneously after each calculation step, and the calculation error of the carbon content prediction decreased gradually through iterative calculation. Finally, the carbon content in the bath were precisely predicted in the end blowing stage of the BOF process. Plant trials were carried out in a BOF converter to demonstrate the performance of the proposed models. The results show that the new model exhibits better adaptability and higher accuracy than the other ones. The hit ratio of the new model to predict the end-point carbon content reaches 90% within a tolerance of ±0.02%.

     

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