中值滤波分析改进的多元线性回归算法对MBR污泥龄的计算

Median Filter Analysis Improved Multiple Linear Regression Algorithm for the Calculation of MBR Sludge Age

用MBR系统进行污水处理时,经常会遇到有大量的污泥被截留在膜表面的现象,该现象会造成膜污染, 影响MBR系统处理污水的效果。研究发现,通过预测MBR系统的污泥龄,可以使工作人员及时采取相应措施来控制膜污染,以此来达到减缓膜污染的目的。为了解决该问题,本文首先利用多元线性回归算法对MBR系统中的污泥龄进行预测,但是误差稍大。然后采用中值滤波分析改进的多元线性回归算法预测污泥龄,预测结果表明,改进后的算法更准确,与实际值误差更小,解决了准确预测污泥龄的问题,对提高MBR系统处理污水效果具有一定的参考价值。

When MBR system is used for sewage treatment, it is often encountered that a large amount of sludge is trapped on the surface of the membrane, which will cause membrane pollution and affect the effectiveness of MBR system in sewage treatment. It is found that by predicting the sludge age of MBR system, the staff can take corresponding measures to control membrane pollution in time, so as to achieve the purpose of reducing membrane pollution. In order to solve this problem, multiple linear regression algorithm was first used to predict sludge age in MBR system, but the error was slightly larger. Then the improved multiple linear regression algorithm is used to predict the sludge age by median filter analysis. The result shows that the improved algorithm is more accurate and has a smaller error with the actual value, which solves the problem of accurately predicting the sludge age and has certain reference value for improving the sewage treatment effect of MBR system.