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Case-based Reasoning Approach In The Purification Of Arsenic Salt In Addition To Cobalt Application

Posted on:2012-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:W GaoFull Text:PDF
GTID:2211330335489654Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Arsenic salt leaching process directly Cobalt Removal neutral main purpose is to remove the impurity ions in the supernatant, to provide qualified new electrolytic solution. In all impurities, the Cobalt is the most harmful impurities in addition to one of the most difficult, the presence of cobalt not only affects the current efficiency of electrolysis, but also affects product quality and production, hydrometallurgy Cobalt Removal is a key production process Link. Cobalt Removal in ensuring the solution of cobalt ion concentration after passing under the premise of the production process to minimize the consumption of zinc, in order to achieve energy saving and consumption, and improving economic efficiency, become a solved problem.In the arsenic salt Cobalt Removal Process, according to the solution of different concentration (copper, cobalt, nickel, arsenic and other ions) have different redox potential (oxidation-reduction potential, ORP), the working conditions change, the automatic update ORP set point, in order to achieve the cobalt ion concentrations within the target range.Cobalt Removal of arsenic salt has great delay of the detection process, while ORP and related parameters of nonlinear, strong coupling and other characteristics, it is difficult to describe with accurate mathematical model, using conventional control strategies, it is difficult to meet the control requirements, proposed CBR preset redox potential optimization model, and rule-based reasoning technology to build a pre-set value of the feedback ORP compensation model, that is, the concentration of cobalt ions based on the export target and the actual value of the deviation between the given ORP The feedback compensation value. While exports of cobalt ion concentration in the clean-line can not be monitoring and established based on least squares support vector machine prediction model of the cobalt ion concentration. Finally, in this based on the redox potential of the optimal setting model, changes in working conditions, can automatically adjust the settings redox potential, redox potential to achieve the optimal setting. Industrial production data by field verification results show that the stability of the export of cobalt ion concentration, reducing the purification process of zinc cobalt addition to adding the amount of great practical value.
Keywords/Search Tags:purification process, ORP optimal setting, Case-based reasoning, Rule-based reasoning, least squares SVM
PDF Full Text Request
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