| Intelligent decision support system of operation-optimization in copper smelting converter |
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| 引用本文： | 姚俊峰,梅炽,彭小奇,周安梁,吴冬华. Intelligent decision support system of operation-optimization in copper smelting converter[J]. 中南工业大学学报(英文版), 2002, 9(2): 138-141. DOI: 10.1007/s11771-002-0059-2 |
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| 作者姓名： | 姚俊峰 梅炽 彭小奇 周安梁 吴冬华 |
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| 作者单位： | YAO Jun feng 1，MEI Chi 1，PENG Xiao qiZHOU An liang 2，WU Dong hua 21.Department of Applied Physics and Heat Engineering，Central South University，Changsha 410083，China; 2.Guixi Smelter，Guixi 335424，China |
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| 摘 要： | 1 ＩＮＴＲＯＤＵＣＴＩＯＮＣｏｐｐｅｒｃｏｎｃｅｎｔｒａｔｅｉｓｓｍｅｌｔｅｄｉｎａｆｌａｓｈｆｕｒ ｎａｃｅ .Ｔｈｅｓｍｅｌｔｉｎｇｐｒｏｄｕｃｔｉｓｃｏｐｐｅｒｍａｔｔｅ .Ｔｈｅｍａｔｔｅｉｓｆｅｄｔｏｃｏｎｖｅｒｔｅｒ.Ｓｕｌｆｕｒａｎｄｉｒｏｎａｒ
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| 关 键 词： | 炼铜 转炉 熔炼 智能决策支持系统 DSS |
| 收稿时间： | 2001-07-02 |
Intelligent decision support system of operation-optimization in copper smelting converter |
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| Yao Jun-feng , Mei Chi , Peng Xiao-qi , Zhou An-liang and Wu Dong-hua. Intelligent decision support system of operation-optimization in copper smelting converter[J]. Journal of Central South University of Technology, 2002, 9(2): 138-141. DOI: 10.1007/s11771-002-0059-2 |
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| Authors: | Yao Jun-feng Mei Chi Peng Xiao-qi Zhou An-liang Wu Dong-hua |
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| Affiliation: | (1) Department of Applied Physics and Heat Engineering, Central South University, 410083 Changsha, China;(2) Guixi Smelter, 335424 Guixi, China |
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| Abstract: | An artificial intelligence technique was applied to the optimization of flux adding systems and air blasting systems, the display of on line parameters, forecasting of mass and compositions of slag in the slagging period, optimization of cold material adding systems and air blasting systems, the display of on line parameters, and the forecasting of copper mass in the copper blow period in copper smelting converters. They were integrated to build the Intelligent Decision Support System of the Operation Optimization of Copper Smelting Converter(IDSSOOCSC), which is self learning and self adaptating. Development steps, monoblock structure and basic functions of the IDSSOOCSC were introduced. After it was applied in a copper smelting converter, every production quota was clearly improved after IDSSOOCSC had been run for 4 months. Blister copper productivity is increased by 6%, processing load of cold input is increased by 8% and average converter life span is improved from 213 to 235 furnace times. |
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| Keywords: | intelligent decision support system neural network pattern identification chaos genetic algorithm operation optimization copper smelting converter |
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