摘要
针对高炉内部环境复杂、煤气流分布实时检测困难的问题,提出了一种基于料面温度场的高炉煤气流分布的识别方法.首先,充分利用高炉生产过程检测信息建立料面温度场.其次,对高炉中心和边缘煤气流发展水平进行提取,采用模糊C均值聚类方法对高炉煤气流分布模式进行识别.实验表明:该方法能有效反映高炉煤气流分布状态,有利于指导高炉的料面操作.
Considering the complex inner environment of blast furnace（BF） and difficulty in measuring the real-time gas flow distribution of BF,a recognition method for the gas flow distribution of BF is proposed based on the temperature field of burden surface.Firstly,the measuring information of BF process is fully utilized to establish the temperature field of burden surface.Secondly,the gas flow developing level in the central and peripheral regions of BF is extracted in order to employ fuzzy C-means clustering to recognize distribution pattern of gas flow.The experiments show that the method proposed can achieve the distribution status of the gas flow accurately,so that it provides an efficient way to guide burden operation.
出处
《信息与控制》
CSCD
北大核心
2011年第1期78-82,共5页
Information and Control
基金
国家863计划资助项目(2007AA04Z177)
关键词
红外图像
十字测温
料面温度场
煤气流分布
模糊C均值聚类
infrared image
crossing temperature
temperature field of burden surface
gas flow distribution
fuzzy C-means clustering
