基于图像处理和BP网络的烟化炉终点判断法  

A Method Based on Image Processing and BP Neural Network for Judging Fuming Furnace's Smelting Terminal

作　　者：黄莉萍[1] 张寿明[1] 

机构地区：[1]昆明理工大学信息工程与自动化学院,昆明650051

出　　处：《有色金属（冶炼部分）》2005年第2期2-5,共4页Nonferrous Metals（Extractive Metallurgy)

基　　金：云南省人才引培资助项目(2002PY09);云南省计算机应用重点实验室开放基金资助项目

摘　　要：烟化炉冶炼终点的判断长期以来主要依赖现场工人的肉眼,判断的准确性受主观因素影响较大,为此,提出了采用图像处理技术"看火",并用神经网络进行火焰识别的计算机终点判断方法。测试结果表明该方法能有效地判别出烟化炉的冶炼终点。The judgment of fuming furnace's smelting terminal for long time depends on primarily the spot worker's observation on flames through their naked eyes. The accuracy of the judgment is easily and strongly influenced by subjective factors, which makes it difficult to guarantee the stability of the products. Therefore, this paper put forward a method for judging smelting terminal, which observes flames based on image processing technique through the computer and discriminates flames with a neural network. The testing result shows that this method can effectively discriminate fuming furnace's smelting terminal.

关 键 词：烟化炉 图像处理 神经网络 

分 类 号：TF806[冶金工程—有色金属冶金]