Study on Soft Measurement of Moisture Eliminating Ratio in Tobacco Leaf Re-drying Line

摘要

Moisture eliminating ratio of heating zone in tobacco leaf re-drying line is one of key parameters to measure how much water contained in the tobacco leaf, which hardly is directly measured online. Therefore, this paper introduces how soft-sensing technology is applied to the process of tobacco leaf's re-drying, in order to achieve online soft-sensing measurement of moisture eliminating ratio. The paper adopts multiple linear regression analysis method and multiple stepwise regression analysis method, establishing the soft-sensing model of moisture eliminating ratio. It shows that the multiple stepwise regress analysis method have significant prediction effect in the modeling of moisture eliminating ratio, by comparison the analysis results that multiple linear regression and multiple stepwise regress analysis method get.