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轉爐吹煉后期碳含量預報的改進指數模型

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

  • 摘要: 介紹了幾種主要的轉爐煙氣分析碳含量預報模型,并分析了其中的指數衰減模型及其三種改進算法的基本原理和優缺點。在綜合三種模型優點的基礎上,提出了基于“極限碳含量擬合+曲線同步更新”算法的改進指數模型。首先,利用歷史爐次吹煉后期的脫碳氧效率和碳含量數據,通過指數擬合得到“歷史脫碳曲線”和極限碳含量參數;其次,使用當前爐次吹煉中期的最大脫碳氧效率值對“歷史脫碳曲線”的特征參數進行替換,得到當前爐次吹煉后期的“參考脫碳曲線”,再對其進行歸一化處理,得到歸一化的“參考脫碳曲線”;然后,采用多點校正的方法,計算當前爐次吹煉至各等距離校正點時“參考脫碳曲線”的脫碳量,并根據計算脫碳量與轉爐實際脫碳量的偏差,對熔池碳含量及脫碳曲線參數進行計算與校正,得到“計算脫碳曲線”;最后,通過逐次迭代計算對“參考脫碳曲線”和“計算脫碳曲線”進行同步更新,進而實現對轉爐吹煉后期熔池碳含量的精準預報。研究表明,改進的指數模型具有較高的準確率,終點碳含量預報誤差在±0.02%范圍內的命中率達到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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