| An integrated modeling method for prediction of sulfur content in agglomerate |
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| 引用本文： | CHEN,Xiao-fang(陈晓方),GUI,Wei-hua(桂卫华),WANG,Ya-lin(王雅琳),WU,Min(吴敏). An integrated modeling method for prediction of sulfur content in agglomerate[J]. 中南工业大学学报(英文版), 2003, 10(2): 145-150. DOI: 10.1007/s11771-003-0057-z |
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| 作者姓名： | CHEN Xiao-fang(陈晓方) GUI Wei-hua(桂卫华) WANG Ya-lin(王雅琳) WU Min(吴敏) |
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| 作者单位： | College of Information Science & Engineering，Central South University，College of Information Science & Engineering，Central South University，College of Information Science & Engineering，Central South University，College of Information Science & Engineering，Central South University Changsha 410083，China，Changsha 410083，China，Changsha 410083，China，Changsha 410083，China |
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| 基金项目： | TheNational 863HighTechnologyProgramofChina (No .2 0 0 1AA4110 40& 2 0 0 1AA414 2 40 ) |
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| 摘 要： | 1 INTRODUCTIONSomeparametersincomplex process,especiallyinmetallurgicandchemicalprocess ,needtobepredictedforsecurityandefficiencyofproduction .PrecisepredictionofsulfurinagglomerateissignificantforsinteringprocessinPb ZnImperialSmeltingProcess (ISP) [1] .SinteringprocessistodesulfurateandsinterPb ZnminesoastoprovideagglomerateforPb Znproduction .Ifthesulfurcontentinagglomerateexceeds 1% ,thesmeltingprocesscannotrunfluentlyandtheconditionsaredeterioratedre markably .Inspiteoftheimpo…
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| 收稿时间： | 2002-06-10 |
An integrated modeling method for prediction of sulfur content in agglomerate |
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| Chen Xiao-fang , Gui Wei-hua , Wang Ya-lin and Wu Min. An integrated modeling method for prediction of sulfur content in agglomerate[J]. Journal of Central South University of Technology, 2003, 10(2): 145-150. DOI: 10.1007/s11771-003-0057-z |
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| Authors: | Chen Xiao-fang Gui Wei-hua Wang Ya-lin Wu Min |
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| Affiliation: | (1) College of Information Science & Engineering, Central South University, 410083 Changsha, China |
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| Abstract: | Based on the idea of fusing modeling, an integrated prediction model for sintering process was proposed. A framework for sulfur content prediction was established, which integrated multi modeling ways together, including mathematical model combined with neural network(NN), rule model based on empirical knowledge and model-choosing coordinator. Via metallurgic mechanism analysis and material balance computation, a mathematical model calculated the sulfur content in agglomerate by the material balance equation with some parameters predicted by NN method. In the other model, the relationship between sulfur content and key factors was described in the form of expert rules. The model-choosing coordinator based on fuzzy logic was introduced to decide the weight of result of each model according to process conditions. The model was tested by industrial application data and produced a relatively satisfactory prediction error. The model also preferably reflected the varying tendency of sulfur content in agglomerate as the evidence of its prediction performance. |
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| Keywords: | prediction model integrated modeling neural network material balance expert rule |
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