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Effect Of The Situation Analysis And Decision-making System In Aluminum Qinghai Branch Of Aluminum Reduction Cell Research

Posted on:2005-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y G JiangFull Text:PDF
GTID:2191360122996859Subject:Non-ferrous metallurgy
Abstract/Summary:PDF Full Text Request
Based on the production practice of the aluminum electrolysis and combined the intelligent fuzzy control strategy, the occurrence of the effect in aluminum electrolysis cells were analyzed in statistical way and the newly effect analyses report form, which has novel structure, strong pertinence and perfect maneuverability, was designed founded on the parameter adjustment of control system .This provide the data source with reasonable structure for data mining. To resolve the effect caused by the drop of the alumina concentration, the effect prediction mechanism of control system was summarized; to resolve the temperature effect caused by instability of cell condition, the heat diagnose expert system that based on the manual neural network was optimized.The ameliorated neural network, which is compacted and practicably and has been improved in the speed and veracity of the diagnose, give support to the assistant decision of the effect analyses system conformation. It also provides simplified linear decision mechanism for the voltage setting, the amount of siphon aluminum and the quantum of the fluoride additive.The data mining effect analyses system was developed based on the gray scale association arithmetic. The effect data were processed by the data mining technology and the main affect factor were gained. For the first time, the data mining technology was introduced into the decision and management analyses of industrial control system, and the elementary experiments show that it can be of great practicability for the decision level improvement of control system and the strengthen of scientific management. So, this is deserved to the further research.At last, based on the output of the data mining and neural network expert system, adjust the control parameter of the control system, so as to achieve the effect analyses and the intelligent process of decision. By dynamic regulation of the control of the effect, offer the technological guarantee for the stable operation of the aluminum electrolysis cell and the further improvement of the production index.
Keywords/Search Tags:aluminum electrolysis, intelligent fuzzy control, effect analyses, neural network, data mining, gray scale association
PDF Full Text Request
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