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Application of BP Neural Network Forecasting Technology in pH Value of Desulfurization System
Author(s): 
Pages: 69-72
Year: Issue:  1
Journal: Journal of Gansu Sciences

Keyword:  BP neural networkDesulfurizing pH valueForecasting technology;
Abstract: 在热电厂脱硫过程中,pH值的稳定性对脱硫效率影响重大,在实际生产中因受到各种环境因素及主观因素的影响,pH测量仪器在现场操作中易受到破坏或腐蚀,给生产造成很大损失,为了降低这种损失,提出了基于BP神经网络的预测技术.运用此预测算法对系统参数进行数学建模,设计了三层网络预测模型,同时用Matlab工具箱对pH数据进行仿真,使系统实现在线控制和实时控制.结果表明,BP神经网络对脱硫系统中pH值的预测精度很高,产生误差也很小,取得了满意的预测效果.因此,用BP神经网络预测技术对烟气脱硫系统中的pH值进行预测,能提前预知脱硫过程中pH值的变化情况,有助于改善脱硫装置的效率.
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