摘要
针对污水处理质量指标无法在线检测的问题 ,提出了基于人工神经网络的软测量方法。构造了污水处理质量软测量的神经网络结构 ,运用实际工业污水处理过程测量数据对BP神经网络进行了训练和仿真。结果表明 ,它能准确地进行污水处理质量的实时估计 。
To against the problem of people are unable to detetct the quality of sewage handling on line the soft measuring method based on artificial neural network is stated. The neural network structure for soft measurement of the quality of sewage handling is established. The BP neural network is trained and simulated by using practical measuring data of the industrial sewage process. The result shows that the precise quality can be assessed in real time, thus the real time control for the quality of sewage handling can be implemented.
出处
《自动化仪表》
CAS
北大核心
2001年第10期8-9,共2页
Process Automation Instrumentation
基金
浙江省科学基金
浙江省教育厅科研项目
教育部高等学校骨干教师资助项目
关键词
软测量
神经网络
污水处理
序排式活性污泥法
Key words:Soft measurement Neural network Sewage handling Sequential batch reactive mud method (SBR)