Application of Artificial Neural Network in Judging the End Point of the Zinc Fuming Furnace

被引：0
|
作者：
Zhang Shouming [1 ]
Zhang Yunsheng [1 ]
机构：
[1] Kuming Univ Sci & Technol, Fac Informat Engn & Automat, Kuming 650051, Peoples R China
来源：
PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 4 | 2008年
关键词：
Judging the End Point; Zinc Fuming Furnace; Artificial Neural Network;
D O I：
10.1109/CHICC.2008.4605093
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For a long time the judgment of zinc fuming furnace's smelting end point has primarily depended on the operator'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 product quality and restricts the-enhancement of production efficiency. Therefore, this paper put forward a method based on artificial neural network to discriminate flames and judge the end point automatically. Utilizing this method; a computer judging system has been set up in YUNNAN CHIHONG ZINC&GERMANIUM Co., ltd, and can effectively discriminate zinc fuming furnace's end point.
引用
收藏
页码：469 / 471
页数：3
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