基于精煤灰分预测的重介悬浮液密度自动设定系统设计

The design of dense medium suspension density setting system based on clean coal ash prediction

为了使重介悬浮液密度及时适应选煤生产的需要,设计出重介悬浮液密度自动设定系统。根据重介选煤厂实际操作情况,先设计训练精煤灰分预测的BP神经网络,再采用Wincc、Matlab编写程序实现重介悬浮液密度的自动设定。该系统可以对一系列密度数据下的精煤灰分进行预测,根据预测结果选择最佳密度设定值,有利于提高精煤灰分的可控性。生产结果表明:在该系统设定的密度值下,精煤灰分在要求的范围内,说明系统运行效果良好。

Dense medium suspension density setting system is designed to satisfy the requirement for production. In this system,according to the actual operation of heavy medium coal preparation plant,firstly,BP neural network for clean coal ash prediction is designed and trained,and then automatic setting of suspension density is realized by Wincc and Matlab programming. This system can predict ash of clean coal with different density and then select optimal setting,which can availably control ash of clean coal.The application shows that required clean coal ash is stable under the density setting value in this system,which suggests the system works well.