共查询到18条相似文献,搜索用时 93 毫秒
1.
LF精炼工序在炼钢过程起着调节温度的关键作用,准确预报LF精炼终点钢水温度对实际生产有重要意义.传统的LF精炼预报模型包括机理模型与黑箱模型.机理预报模型能够体现各工艺因素对终点钢水温度的影响,但由于LF精炼传热机理研究尚不完善,依靠机理模型预报终点钢水温度,难以达到预期效果;黑箱预报模型能够准确预报终点钢水温度,但不能反映精炼过程各工艺因素对钢水温度的影响,尤其当生产工艺条件发生改变时,黑箱模型在应用上会受到限制.本文以方大特钢LF精炼炉为研究对象,建立一种机理预报模型与黑箱预报模型(BP神经网络预报模型)相结合的LF精炼终点钢水温度灰箱预报模型.该模型既能反映各工艺因素对终点钢水温度的影响,又能准确预测终点钢水温度,其终点钢水温度预测误差在±5℃以内的命中率可以达到95%以上. 相似文献
2.
3.
为提高LF精炼钢水终点温度控制水平,提出了基于主成分分析(PCA)和BP神经网络的联合方法预测LF钢包炉精炼钢水终点温度。基于冶金理论和实际生产实践,选取了42CrMo钢生产过程的10个对终点温度有显著影响的因素作为预测模型的指标体系,然后借助主成分分析法对样本数据进行处理,得到了7个主成分变量,累计方差贡献率为87.24%,消除了数据之间的关联性,以此为基础,建立了基于PCA-BP神经网络的LF炉终点温度预测模型,该模型预测误差在±25℃时,模型的命中率为98.71%,模型有较好的识别能力,能够达到LF炉生产过程预测终点温度的目的。 相似文献
4.
LF钢包炉精炼终点钢水温度的预报模型 总被引:1,自引:0,他引:1
采用多元回归分析方法建立了宝钢一炼钢厂LF钢包炉精炼终点钢水温度的预报模型,应用该模型对LF精炼终点钢水温度进行预测,对预测结果进行了统计分析,结果表示该模型对LF钢包炉精炼终点温度的预测误差在+10℃时的命中率达到95%。 相似文献
5.
6.
LF炉钢水温度的精准控制有利于缩短钢的冶炼时间,从而节约其生产成本。而获得准确的LF炉钢水温度预报是钢水温度控制的先决条件。通过分析LF炉冶炼过程对钢水温度的影响因素,提出一种适用于LF炉钢水温度预报同时具有增量学习功能的AdaBoost.RS集成建模算法。该算法引入松弛变量和遗忘因子2个参数,在提高预测精度的同时,可以克服大噪声数据带来的干扰,同时增量学习可以降低早期生产数据对模型的影响。以福建三钢有限责任公司100tLF炉为研究对象,采用5个测试函数验证算法的抗噪性能,分别用静态数据和动态数据对钢水出站的终点温度进行预报。实验结果表明,预测的绝对误差小于10℃的样本数量超过了样本总数的90%,算法精度较高,有利于实际生产应用。 相似文献
7.
采用多元回归分析方法建立了涟钢210转炉厂LF钢包炉精炼终点钢水温度的变化模型,应用该模型对LF精炼终点钢水温度进行预测,对预测结果进行了统计分析,结果表明该模型对LF钢包炉精炼终点温度的预测误差较小,能对现场产生指导意义。 相似文献
8.
9.
10.
11.
考察了影响LF炉钢水温度的因素.从能量平衡的角度出发,将整个钢包体系作为1个系统,确定加热功率、钢水质量、钢包温度、包龄、渣厚、氩气吹入量、时段7个主要因素作为网络的输入量,应用BP神经元网络进行初步预报,再根据专家工艺知识对一些特殊情况进行修正.使用本方法可减少点测次数,获得连续的钢水温度信息,降低炼钢成本,提高质量... 相似文献
12.
In order to improve the temperature control level of molten steel in ladle furnace (LF), a case‐based reasoning (CBR) method has been proposed for predicting end temperature of molten steel in LF. To predict the temperature accurately and efficiently, this paper develops two‐step retrieval approach and the correlation based feature weighting (CFW) method for CBR. And, the study evaluates the prediction effect of CBR method by the experiment of comparison with back propagation neural network (BPNN) model and CBR model. Experimental results show that CBR model achieves better accuracy than BPNN model and the CBR method is effective to predict end temperature of molten steel in LF. 相似文献
13.
Aiming at the characteristics of the practical steelmaking process, a hybrid model based on ladle heat sta- tus and artificial neural network has been proposed to predict molten steel temperature. The hybrid model could over- come the difficulty of accurate prediction using a single mathematical model, and solve the problem of lacking the consideration of the influence of ladle heat status on the steel temperature in an intelligent model. By using the hybrid model method, forward and backward prediction models for molten steel temperature in steelmaking process are es- tablished and are used in a steelmaking plant. The forward model, starting from the end-point of BOF, predicts the temperature in argon-blowing station, starting temperature in LF, end temperature in LF and tundish temperature forwards, with the production process evolving. The backward model, starting from the required tundish tempera- ture, calculates target end temperature in LF, target starting temperature in LF, target temperature in argon-blo- wiag station and target BOF end-point temperature backwards. Actual application results show that the models have better prediction accuracy and are satisfying for the process of practical production. 相似文献
14.
15.
16.
17.
《钢铁研究学报(英文版)》2011,(Z1):567-571
Based on the fact of long period deep desulfurization treatment in LF,the relationships among top slag constituent in LF,molten steel constituent,stirring ability of blowing argon,molten steel temperature and desulphurization rate were analyzed.Through the experiments,the parameters about treatment technology of top slag in LF,the [Als] content in molten steel,slag charge match,molten steel temperature and the argon flow for stirring have been optimized.The desulphurization treatment period in LF can be shortened by 5~8 minutes.The target sulfur content in molten steel can be controlled below 30 ppm within one LF treatment period which is only 36 minutes.The LF treatment period of ultra-low sulfur steel can primarily match with the continuous casting period,multi-heat continuous casting can be ensured. 相似文献