结合数据处理和ICA的污水进水水质的分类

Quality Classification of the Inlet Wastewater by Using Combination of Data Processing and Independent Component Analysis

污水生化处理的节能控制涉及进水污水水质的分析。对数据测量过程中的异常值进行了检测,并采用数据平滑补偿技术修正了异常值;基于恶劣环境下测量的水质数据受噪声干扰的情况,提出采用独立元分析方法对测量数据进行去噪和特征提取处理;最后应用LS-SVM算法对污水的进水水质进行分类。实验表明该算法提高了分类的精度,验证了算法的优越性。

Energy saving control of wastewater biochemical treatment involves the analysis on quality of inlet wastewater.The abnormal values in data measuring process are detected,and corrected by adopting data smooth compensation.In consideration of the data of water quality measured under the foul environment are disturbed by noises,thus the independent component analysis（ICA） method is proposed to eliminate the noise for measured data,and process characteristic extraction.Finally by using LS-SVM algorithm,the quality classification is conducted.The experiment indicates that this algorithm enhances the accuracy of classification,and verifies the superiority of the algorithm.