【摘要】 针对污水处理过程中关键水质参数无法在线监测的问题,提出了基于主元分析PCA时间延迟神经网络的污水水质BOD在线预测软测量方法。该方法由三部分组成:主元分析PCA、时间延迟神经网络、软测量模型的在线校正。其中离线模型采用GABP算法训练,仿真结果表明该方法可以实现污水水质的在线预测,具有实时性好,稳定性高,精度高,校正方便等特点。更多还原

【Abstract】 In monitoring and controlling wastewater treatment processes, on-line information of some essential wastewater parameters is inaccessible. In this paper, a soft-measuring approach applied in wastewater quality measurement is put forward based on Principal Components Analysis(PCA) time-delay neural network. It is composed of three elements: PCA, time-delay neural network and model updating, where the offline model is trained through the algorithm GABP. This model, which is of good real-time property, good stability, high precision and easy updating, can be applied to on-line predict wastewater Biochemical Oxygen Demand(BOD).更多还原