摘要
通过对某污水处理厂的SBR法污水工艺进行分析,得知其过程具有多变量、非线性、时变性与随机性,能否及时检测出DO值至关重要.然而DO的在线检测仪一般有一定的滞后,为此本文采用BP神经网络来建立DO的预测模型并通过MATLAB仿真研究,其结果表明该模型具有较好的预测效果.
This paper analyzes wastewater treatment technique by using SBR in a sewage treatment plant,then the process is informed that it is multi-variable,nonlinear,time-varying and random,moreover,the detection of DO is crucial in time.However,the online DO detector in general has a certain lag,therefore this paper use the BP neural network to build the prediction model of DO.The result shows that the model has good prediction through MATLAB simulation study.
出处
《云南大学学报(自然科学版)》
CAS
CSCD
北大核心
2009年第S2期103-105,共3页
Journal of Yunnan University(Natural Sciences Edition)