Soft-sensing model of sulfur content in agglomerate based on intelligent integrated strategy
基于智能集成策略的烧结块残硫软测量模型

The parameter estimation in sintering process of plumbum and zinc smelting is a concerned challenge for the complexity in chemical reactions. The idea of intelligent integrated modeling strategy was to combine multiple modeling techniques to acquire all kinds of information from the plant. The study of estimation of sulfur content in agglomerate was vital for operation optimization. An estimation model for sulfur estimation based on intelligent integrated strategy was put forward, in which the mathematical model calculates the sulfur content in agglomerate following material balance equation with some unsolvable parameters estimated by neural network method, while the expert rule model describe the relationship between sulfur quantity and key factors. An intelligent coordinator based on fuzzy logic is proposed to synthesize the output of the models. The estimation model was tested by industrial practical data, its average error is 7.5%. So this model could be used as a guide in practical operation in sintering process.