| 摘要 |
<p>A method and computer program for determining the amounts of desulphurizing reagents required to reduce the sulphur content in hot metal to meet a specified aim concentration. The determination of the amounts of reagents is based on a multivariate statistical model of the process. This model is initially based on a set of representative data from the process including all process parameters for which data are available. These parameters include chemistry-type variables and variables representing the state of operation of the desulphurization process. The use of a plurality of process and chemistry variables provides a more advantageous determination of the reagent quantities. Also, the method includes an adaptation scheme whereby new data are used to automatically update the predictive model so that the optimality of the model is maintained. Other features of the system include optimal handling of missing data, and data and model validation schemes.</p> |
