Analysis of Real-Time Water Quality Monitoring Data Based on Matlab Software

The real-time water quality monitoring network has been operational for water resource protection and water quality detection. It is useful for management plans of water utility and local authorities to realize change characteristic of water quality. In the paper, the principle of wavelet analysis widely used in dynamic data processing was introduced. In addition, the time series of three days´ continuous monitoring for some node residual chlorine was analyzed with the Daubechies wavelet. With the mother wavelet function ´db3´, the subjects were decomposed into 5 levels, and the original time series was reconstructed into the combination of high-frequency and low-frequency on various time scales. The results show that the day change of residual chlorine has a significant characteristic of two periods. The wavelet analysis can provide a very good representation of the change trend of residual chlorine time series and also put forward a new approach to the studies on the stage change of residual chlorine and the mid long term prediction for time series. Meanwhile, it also has a good application effect in the noise elimination and the determination of discontinuous point and abnormal value.