【作者】 安剑奇； 吴敏； 何勇； 曹卫华；

【Author】 AN Jianqi,WU Min,HE Yong,CAO Weihua School of Information Science and Engineering,Central South University,Changsha 410083,P.R.China

【机构】 中南大学信息科学与工程学院；

【摘要】 高炉料面煤气流分布在一定程度上决定了高炉能否运行在高效低耗的状态,关系到整个钢铁企业的经济效益。本文针对料面煤气流分布难以直接检测的问题,采用两级信息融合的方法设计高炉料面煤气流分布检测方法。首先对多源信息进行了空间和时间的配准,然后采用数据级融合分别建立高炉布料模型和料面温度场模型,利用模糊决策级融合求出高炉料面的煤气流分布。通过现场数据仿真,表明本文的检测方法有效,能够准确地反映高炉料面的煤气流分布状态,为高炉操作提供必要的指导。更多还原

【Abstract】 The situation of gas flow distribution in burden surface ensures to a certain degree whether the blast furnace could be running in a way of high efficiency and low consumption,and then influences the economic benefits of the whole steel enterprises.Focusing on the difficulty of directly detecting the gas flow distribution in burden surface,a method of that distribution is designed in this paper by employing the method of hierarchical information fusion.Firstly,the multi-source information is deal with spatial and time registration technology.Secondly,the model of burden distribution and burden surface temperature profile are designed by means of data level fusion respectively.Then,based on the two models,the distribution of gas flow in burden surface is obtained with the fuzzy decision level information fusion algorithm.Finally,according to the field data simulation,the validity of the modeling method employed in this paper is verified,the gas flow distribution in burden surface could be accurately reflected,and the operation of blast furnace might be well guided.更多还原