Title :
Application of artificial neural network in judging the end point of the zinc fuming furnace
Author :
Shouming, Zhang ; Yunsheng, Zhang
Author_Institution :
Fac. of Inf. Eng. & Autom., Kuming Univ. of Sci. & Technol., Kuming
Abstract :
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.
Keywords :
electrical engineering computing; furnaces; neural nets; zinc; artificial neural network; product quality; production efficiency; smelting end point; stability; subjective factors; zinc fuming furnace; Artificial neural networks; Costs; Eyes; Fires; Furnaces; Heating; Production; Slag; Temperature; Zinc; Artificial Neural Network; Judging the End Point; Zinc Fuming Furnace;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605093