基于高炉炉况评价和反馈补偿的喷煤量决策优化

高炉炼铁过程操作者根据炉况设定喷煤量,针对在增减量的大小和时机上存在盲目性、粗糙性、滞后性难题,将高炉冶炼机理与专家经验、过程信息相结合,建立基于煤气流分布和炉缸热状态评价的喷煤反馈补偿模型.首先,分析提取表征高炉煤气流分布和炉缸热状态的重要参数,利用熵权法确定评价模型的输入参数权重,依据专家经验与数据统计分析相结合的方法划分参数等级,分别建立煤气流分布和基于炉温预测的炉缸热状态评价模型;其次,建立与炉缸热状态和煤气流分布相适应的喷煤量反馈补偿模型,消除喷煤设定值不确定性、滞后性影响,提高煤粉的燃烧效率,实时、准确地为现场操作人员提供喷煤设定值.

Decision-making optimization of coal injection volume based on evaluation of blast furnace condition

Based on evaluation of blast furnace condition, the operator of the blast furnace iron-making process determines the amount of coal injection according to the furnace condition, and has problems of blindness, roughness and hysteresis in the increase and decrease of the size and timing. In this paper, the blast furnace smelting mechanism is combined with expert experience and process information to establish a coal injection feedback compensation model based on gas flow distribution and furnace thermal state evaluation. Firstly, the important parameters of gas flow distribution and hearth thermal state are analyzed and extracted, and the entropy weight method is used to determine the weights of the evaluation model input parameters, the parameters are classified according to expert experience and data statistical analysis. The evaluation model of furnace temperature thermal status based on furnace temperature prediction and the evaluation model of gas flow distribution are established separately. Then, the coal injection feedback compensation rules based on the gas flow distribution and the evaluation of the furnace hot state are established,which can eliminate the uncertainty of the coal injection set value, and the influence of hysteresis, improve the combustion efficiency of pulverized coal, and provide the on-site operator with the coal injection setting value in real time and accurately.