首页|期刊简介|投稿指南|分类索引|刊文选读|订阅指南|资料|样刊邮寄查询|常见问题解答|联系我们
崔桂梅,吕明远. 基于燃料比最优的高炉喷煤设定值多目标优化[J]. 科学技术与工程, 2020, 20(10): 4022-4028.
CUI Gui-mei,LV Ming-yuan.Multi-objective Optimization of Blast Furnace Coal Injection Setting Based on Optimal Fuel Ratio[J].Science Technology and Engineering,2020,20(10):4022-4028.
基于燃料比最优的高炉喷煤设定值多目标优化
Multi-objective Optimization of Blast Furnace Coal Injection Setting Based on Optimal Fuel Ratio
投稿时间:2019-07-21  修订日期:2019-11-14
DOI:
中文关键词:  燃料比最优  喷煤设定值 炉温预测 NSGA-Ⅱ算法  多目标优化
英文关键词:optimal  fuel ratio  coal injection  setting furnace  temperature prediction  NSGA-II  algorithm multi-objective  optimization
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
     
作者单位
崔桂梅 内蒙古科技大学信息工程学院
吕明远 内蒙古科技大学信息工程学院
摘要点击次数: 98
全文下载次数: 40
中文摘要:
      为了降低高炉炼铁的能耗,节约成本,将高炉炼铁过程信息、专家经验与智能模型相结合,提出基于燃料比最优的高炉喷煤设定值多目标优化方案。以燃料比最优为优化目标,炉温预测指标为约束条件,喷煤量为决策变量,采用基于K-均值聚类的径向基神经网络建立多目标优化模型,并通过基于NSGA-Ⅱ算法的多目标优化方法,获取尽可能使多个目标同时达到最优的Pareto最优解。结果表明,该优化方案可以在保证炉温良好的前提下,决策出使燃料比达到最优的喷煤设定值,大大降低能耗,节约成本。不仅为高炉实际生产提供操作指导,也为高炉炼铁的优化运行奠定了基础。
英文摘要:
      In order to reduce the energy consumption and cost of blast furnace ironmaking, the blast furnace ironmaking process information, expert experience and intelligent model are combined to propose a multi-objective optimization research plan of blast furnace coal injection setting based on optimal fuel ratio.Using the data information of the blast furnace ironmaking process, the fuel ratio as the optimal target, the furnace temperature prediction index as the constraint condition, the coal powder quantity as the decision variable, the radial basis neural network based on K-means clustering was used to establish the multi-objective optimization model, and the multi-objective optimization method based on NSGA-II algorithm was used to obtain the Pareto optimal solution that maximizes multiple targets at the same time. The results show that under the premise of ensuring good furnace temperature, the optimization scheme can determine the coal injection setting value to optimize the fuel ratio, which greatly reduces energy consumption and saves cost. It not only provides operational guidance for the actual production of blast furnaces, but also lays the foundation for the lower adjustment of blast furnace ironmaking.
查看全文  查看/发表评论  下载PDF阅读器
关闭
你是第30513674位访问者
版权所有:科学技术与工程编辑部
主管:中国科学技术协会    主办:中国技术经济学会
Tel:(010)62118920 E-mail:stae@vip.163.com
京ICP备05035734号-4
技术支持:本系统由北京勤云科技发展有限公司设计

京公网安备 11010802029091号