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Hydrometallurgy Of Zinc Net Liquid Cobalt Ion Concentration Detection And Prediction Model Realization

Posted on:2009-10-01Degree:MasterType:Thesis
Country:ChinaCandidate:J J FanFull Text:PDF
GTID:2191360245482932Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The purification-cobalt removal with antimony trioxide and zinc powder is an important part of zinc hydrometallurgy process. In this processing, cobalt concentration is a critical process parameter, which not only decides zinc powder consumption, but also affects greatly on electrolysis-efficiency and product quality. Therefore, getting the cobalt concentration value timely and exactly has great significance on assuring production succeed in completing at industrial produce, energy consumption reduction and enhancing the economic benefits.A cobalt concentration online detection and predication modal is presented based on the analysis of the techniques and influencing factors of the purification-cobalt removal with antimony trioxide and zinc powder. It combines some technologies of electrochemistry theory, data processing technology, expert system and artificial intelligence theory. The main subjects of my researches are:①Based on the analysis of the theories and features of all kinds of cobalt concentration detection methods and the feasibility of detecting trace amounts of cobalt with polarography method, a cobalt concentration of section I online detection with polarography method is developed. After analyzing the factors of the error, a new data processing algorithm based on data sieve, least-square fitting and temperature compensation technique is proposed to meet the demand of industry.②A back propagation neural network predication model based on lots of historical data in industry is presented and simulated. A Levenberg-Marquardt neural network predication model is built to make up the disadvantages of traditional back propagation neural network, which can predict cobalt concentration timely and exactly based on the industrial information.③A cobalt concentration online detection and predication system is developed based on the studies above. The overall design of system, the design platform, tools and the function of software are listed in the thesis. The system not only has the basic function of detecting and predicting online, but also has other useful functions such as providing work records forms and statistics of reports. It improves the efficiency of working and the level of modernization of enterprises.Finally, the main research work is summarized and some improvable aspects and further researches are presented.
Keywords/Search Tags:zinc hydrometallurgy, cobalt, polarography, online detection, neural network predication
PDF Full Text Request
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