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.