| 污水厂出水COD预测模型的对比分析 |
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| 引用本文： | 官宝锐,徐得潜.污水厂出水COD预测模型的对比分析[J].环境保护科学,2011,37(2):65-67. |
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| 作者姓名： | 官宝锐 徐得潜 |
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| 作者单位： | 合肥工业大学土木与水利工程学院,合肥,230009 |
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| 摘 要： | 根据污水厂日报表中的数据分别建立了ARMA、逐步回归分析、基于回归分析的神经网络模型和基于时间序列分析的神经网络模型,通过比较选择了基于时间序列分析的神经网络模型作为对污水厂出水COD的预测模型,其平均预测精度为85%,取得了满意的预测结果,有利于克服根据在线监测调整工艺参数的滞后性的缺陷,保证出水水质.
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| 关 键 词： | ARMA模型 逐步回归分析 神经网络 COD预测 |
Comparative Analysis on Prediction Model of Effluent COD of Sewage Treatment Plant |
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| Abstract: | ARMA model,gradual regression analysis,neural network(NN) models based on the regression analysis and based on the time sequence analysis were established respectively on the basis of data,which came from the daily statement of sewage treatment plant.The predicted model based on the time sequence analysis was choosen to predict the effluent COD of sewage treatment plant according to comparison.The average accuracy reached up to 85 percent,the predicted effect was satisfying.It could be in favour of conquering the delayed defect which was caused by the adjustments of technical parameters in the light of on-line monitoring,and ensuring the effect of effluent water quality. |
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| Keywords: | ARMA Model Gradual Regression Analysis Neural Network COD Prediction |
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