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Optimize The System Design, Based On The Operation Of The Sintering Process Of Working Parameters Prediction Model

Posted on:2004-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:L H CenFull Text:PDF
GTID:2208360125955329Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The Lead & Zinc sintering process is a quite complex process. The optimal control model and software are not fully developed at present, which make it hard to give scientific directions to the fieldwork. Therefore, an Operating Optimization System is designed for this target, which is significant for optimizing production of this sintering process by applying artificial intelligence.Firstly the main problems of this sintering process are proposed and the key factors that influence the process are acquired by the analysis of mechanism. Secondly the solution to these problems is put forward. This Operating Optimization System is divided into a comprehensive evaluation module for the conditions and a parameter optimizing module. These two modules include a comprehensive permeability prediction model, a prediction model of agglomerate quality and quantity, an intelligent integrated prediction model for the conditions and a parameter optimizing algorithm which are realized by a combination of the Back-Propagation Network, principle component analysis, fuzzy comprehensive evaluation and cluster analysis.At last the system is expatiated in its structures and functions, which is implemented by software and hardware design. Here, the thoughts and the methods of the system design are emphasized. The system software, developed by Visual C++ 6.0, comprises a main monitoring module, a communication module and database module. An real-world application in the Shaoguan Smelt shows that all the functions are realized. The prcision and reliability have been proved.
Keywords/Search Tags:A Lead & Zinc Sintering Process, Operating Optimization System, permeability, agglomerate, condition comprehensive evaluation, BP Network, principle component analysis, fuzzy comprehensive evaluation, cluster analysis, system software
PDF Full Text Request
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