竖炉焙烧磁选管回收率智能预报模型

针对竖炉焙烧过程衡量焙烧矿质量好坏的磁选管回收率化验滞后和难以建立其机理模型的问题,基于智能技术提出了由数据采集与处理模块、决策支持模块、预报模块、在线校正模块以及效果评价模块组成的磁选管回收率智能预报模型.介绍了模型的结构及各个模块的主要功能,并将建立的智能预报模型用于竖炉焙烧过程的优化控制与决策之中,为选矿厂综合自动化系统的优化控制与优化运行奠定了良好的基础,并且其维护费用低,实时性好,可靠性及精度高,取得了明显的成效.

Intelligent Prediction Model of Magnetic Tube Recovery Rate for Shaft Furnace Roasting

As a key evaluation index for the quality of roasted iron ore, the magnetic tube recovery rate (MTRR) was usually postponed intermittently to get until it has been analyzed chemically in off-line way after each and every roasting process completed in shaft furnace. An intelligent model has been developed to predict the MTRR punctually on the basis of intelligence technology. This model consists of five modules served as for data acquisition pretreatment, decision-making, prediction, online modification and quality evaluation. Introduces the model's framework and main functions of those modules. The model has been applied to the optimal operation and control of iron ore roasting process in shaft furnace and laid down a solid foundation for the comprehensive automatic system in ore processing plant. Its obvious benefits are low maintenance cost, good real time function, and high reliability precision.