NDLI: Intelligent decision support system of operation-optimization in copper smelting converter

Content Provider	Springer Nature Link
Author	Yao, Jun feng Mei, Chi Peng, Xiao qi Zhou, An liang Wu, Dong hua
Copyright Year	2002
Abstract	An artificial intelligence technique was applied to the optimization of flux-adding systems and airblasting 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.
Starting Page	138
Ending Page	141
Page Count	4
File Format	PDF
ISSN	10059784
Journal	Journal of Central South University of Technology
Volume Number	9
Issue Number	2
e-ISSN	19930666
Language	English
Publisher	Central South University of Technology
Publisher Date	2002-01-01
Publisher Place	Changsha
Access Restriction	Subscribed
Subject Keyword	intelligent decision support system neural network pattern identification chaos genetic algorithm operation-optimization copper smelting converter Engineering Metallic Materials
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Materials Science Mechanical Engineering

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