高炉炼铁过程的数学模型研究与过程控制

项目名称： 高炉炼铁过程的数学模型研究与过程控制

项目编号： No.61263015

项目类型： 地区科学基金项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 石琳

作者单位： 内蒙古科技大学

项目金额： 43万元

中文摘要： 科学的布料制度和炉温的预报、调控是实现高炉炼铁过程自动化控制技术的关键环节。本课题拟将炉顶布料、炉温预测与煤气流识别技术相结合，建立高炉冶炼过程综合优化控制模型。① 建立基于实测数据和理论分析的包钢6号高炉炉顶布料模型：模型包括节流阀开度与料流速度的模型；炉料在溜槽上的运动模型；料流轨迹模型；料面形状模型；矿焦比预测模型。②建立基于大量生产数据的包钢6号高炉炉温预报模型：模型包括各影响参数的时间滞后模型；TGARCH铁水硅含量时间序列模型（历史信息）；基于投影寻踪技术和遗传算法的铁水硅含量非线性系统的预测模型（控制参数和状态参数）；炉热指数铁水硅含量模型（炉料、煤气成分、铁水硅含量）；加权的多元时序与滞后混合的硅含量模型；③采用模糊关联规则建立高炉炉况预报模型(硅含量、铁还原速率、铁水硫含量、炉渣碱度及煤气流分布形态)④利用建立的布料模型给出包钢在建高炉（4500）的最优布料矩阵。

中文关键词： 高炉；布料模型；红外图像处理；煤气流中心识别；炉温预测

英文摘要： Scientific burden distribution of blast furnace (BF), forecasting and control of hot metal temperature play a pivotal role in realizing automatic control of iron making progress. The goal of our program proposal is to establish optimal control model of BF ironmaking process, which is combined with furnace burden distribution model, forecast model of hot metal temperature and identification technology of gas flow distribution together. ① Based on the data and theoretical analysis of No.6 BF at Baotou Steel Co., we want to build the burden distribution model of BF, which includes the following sub models: model of throttle opening size of damper and burden charging speed ;model of burden movement on chute; trajectory model of burden flow; profile model of burden surface; modified model of burden surface profile while burden surface is decreasing; prediction model of coke rate. ②By using the production data of No.6 BF at Baotou Steel Co., we also want to establish forecast model of BF temperature based on data-driven, which includes following sub models: time lag model with influence parameters of blast furnace;TGARCH time series model of silicon content in hot metal (including historical data); Nonlinear forecast model of silicon content in hot metal based on projection pursuit and genetic algorithm (includi

英文关键词： Blast furnace；burden distribution model；Infrared image processing；gas flow center recognition；forecast model of BF temperature