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

来源期刊：中南大学学报(英文版)2002年第2期

论文作者：姚俊峰 梅炽 彭小奇 周安梁 吴冬华

文章页码：138 - 141

Key words：intelligent decision; support system; neural network; pattern identification; chaos genetic algorithm;operation-optimization; copper smelting converter

Abstract: An artificial intelligence technique was applied to the optimization of flux-adding systems and airblasting systems, the displayofon-line parameters, forecastingofmass 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 forecastingof coppermass 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 itwas applied in a copper smelting converter, every production quota was clearly improved after IDSSOOCSC had been run for4 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.