摘要
污水水质参数监测技术是限制实时在线控制的一个重要因素。本论文进行了基于神经网络软测量技术的污水处理出水水质软测量建模的研究,目标是解决污水处理厂重要出水水质指标因人工化验检测而产生的严重滞后问题,以实现污水处理出水水质的预测及控制。
This paper presents a modeling reserch for sewage treatmenat effluent qullity by using soft-sensing technique based on neural network for parameter monitoring technology on sewage effluent quality is a main factor for on-line control.The goal of the reserch is to to solve the severe time-lag problem that is caused by the manual examination of the key water quality indicators in a sewage treatment factory and to realize the quality forecast and quality control of treated water.
出处
《微计算机信息》
2010年第1期154-156,共3页
Control & Automation
关键词
污水处理
软测量
BP神经网络
建模
Sewage treatment
Soft-sensing
BP neural network
modeling
