微计算机信息
微計算機信息
미계산궤신식
CONTROL & AUTOMATION
2010年
1期
154-156
,共3页
污水处理%软测量%BP神经网络%建模
汙水處理%軟測量%BP神經網絡%建模
오수처리%연측량%BP신경망락%건모
Sewage treatment%Soft-sensing%BP neural network%modeling
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.
汙水水質參數鑑測技術是限製實時在線控製的一箇重要因素.本論文進行瞭基于神經網絡軟測量技術的汙水處理齣水水質軟測量建模的研究,目標是解決汙水處理廠重要齣水水質指標因人工化驗檢測而產生的嚴重滯後問題,以實現汙水處理齣水水質的預測及控製.
오수수질삼수감측기술시한제실시재선공제적일개중요인소.본논문진행료기우신경망락연측량기술적오수처리출수수질연측량건모적연구,목표시해결오수처리엄중요출수수질지표인인공화험검측이산생적엄중체후문제,이실현오수처리출수수질적예측급공제.
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 re-serch 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.
