Application of artificial neural network in judging the end point of the zinc fuming furnace

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.