Study on soft measurement of SO2 conversion ratio of producing sulfuric acid from metallurgical off-gas based on MLR

Producing sulfuric acid from metallurgical off-gas process is a complex system, SO₂ conversion ratio is a key factor in the process of producing sulfuric acid from metallurgical off-gas, but it is difficult to direct on-line monitoring, is generally obtained by artificial test. Therefore, This article set a smelter\´s " two convert and two absorption" of producing sulfuric acid from metallurgical process as a study focus, the soft-sensing model of SO₂ conversion ratio was established by correlation analysis and pre-processing of the field data and multiple linear regression analysis method (MLR) was used. By quantitative analysis of the model fitting and forecasting effect, it indicated that the model has good predictive effect. It can be said that this study will be played an important role in prediction and monitoring online of SO₂ conversion ratio of producing sulfuric acid from metallurgical off-gas process.