| Multi-objective intelligent coordinating optimization blending system based on qualitative and quantitative synthetic model |
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| 作者姓名： | 王雅琳 马杰 桂卫华 阳春华 张传福 |
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| 作者单位： | [1]School of Information Science and Engineering, Central South University, Changsha 410083, China [2]School of Metallurgical Science and Engineering, Central South University, Changsha 410083, China |
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| 基金项目： | 国家重点基础研究发展计划(973计划);国家自然科学基金;湖南省自然科学基金 |
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| 摘 要： | 1 INTRODUCTIONDuring Pb-Zn sintering blending process ,theproper mixture ratio of Pb-Zn concentrate fromdif-ferent mines and the returning powder is necessaryto obtain the desired sintering materials . The ma-terials are sintered to produce the agglomerate forthe smelting. The agglomerate compositions andthe sintering permeability are thei mportant param-eters of Pb-Zn sintering process , whose accuracyand stabilization strictly affect the smeltingprocess . The mixture ratio is one of e…
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| 关 键 词： | Pb-Zn合金 烧结 控制系统 定量合成模型 多目标优化 智能调整 |
| 文章编号： | 1005-9784（2006）05-0552-06 |
| 收稿时间： | 2005-12-19 |
| 修稿时间： | 2006-01-22 |
Multi-objective intelligent coordinating optimization blending system based on qualitative and quantitative synthetic model |
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| Wang Ya-lin , Ma Jie , Gui Wei-hua , Yang Chun-hua and Zhang Chuan-fu.Multi-objective intelligent coordinating optimization blending system based on qualitative and quantitative synthetic model[J].Journal of Central South University of Technology,2006,13(5):552-557. |
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| Authors: | Wang Ya-lin Ma Jie Gui Wei-hua Yang Chun-hua and Zhang Chuan-fu |
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| Affiliation: | (1) School of Information Science and Engineering, Central South University, 410083 Changsha, China;(2) School of Metallurgical Science and Engineering, Central South University, 410083 Changsha, China |
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| Abstract: | A multi-objective intelligent coordinating optimization strategy based on qualitative and quantitative synthetic model for Pb-Zn sintering blending process was proposed to obtain optimal mixture ratio. The mechanism and neural network quantitative models for predicting compositions and rule models for expert reasoning were constructed based on statistical data and empirical knowledge. An expert reasoning method based on these models were proposed to solve blending optimization problem, including multi-objective optimization for the first blending process and area optimization for the second blending process, and to determine optimal mixture ratio which will meet the requirement of intelligent coordination. The results show that the qualified rates of agglomerate Pb, Zn and S compositions are increased by 7. 1%, 6.5% and 6.9%, respectively, and the fluctuation of sintering permeability is reduced by 7.0%, which effectively stabilizes the agglomerate compositions and the permeability. |
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| Keywords: | Pb-Zn sintering blending process qualitative and quantitative synthetic model multi-objective optimization area optimization intelligent coordination |
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