Ultraviolet spectrum water quality abnormality detection method based on multi-scale sliding window principal component analysis

Abstract

The invention discloses an ultraviolet spectrum water quality abnormality detecting algorithm based on multi-scale sliding window principal component analysis. The method comprises the following steps: 1) solving a wavelet transformation dimension L, a window length N, a Cusum control limit H1 of each scale and a wavelet reconstruction data Cusum control limit H' according to historical data; 2) acquiring on-line spectral data, and waiting for the window N filled with the data; 3) performing baseline correction and standardized preprocessing on the spectral data; 4) performing MSPCA on the spectral data, and selecting a principal component number according to a threshold value method; 5) performing each scale abnormality detection based on a Cusum control chart; 6) abnormal wavelet scale combination and reconstruction, and performing PCA calculation on the reconstruction data; 7) performing reconstruction data abnormality detection based on the Cusum control chart, and generating a water quality report. According to the method, the traditional principal component analysis ultraviolet water quality abnormality detection method is improved, so that the method can dynamically adapt tothe water quality background fluctuation, multi-scale water quality abnormality detection can be performed, and the detection accuracy of dynamic change water quality detection is increased.

Description

technical field [0001] The invention belongs to the field of abnormal water quality detection, in particular to an ultraviolet spectrum water quality abnormal detection method based on sliding window multi-scale principal component analysis. Background technique [0002] Water is the source of life. In recent years, with the rapid development of my country's economy, water pollution has become increasingly serious. Water pollution incidents will seriously affect the life, health and safety of citizens and the healthy development of the national economy. Water environment problems have become the focus of national attention, and it is urgent to carry out research on water quality monitoring technology. [0003] The water quality anomaly detection method based on ultraviolet spectroscopy has become an important research direction in the water quality anomaly monitoring method due to its advantages of fast detection speed, real-time online, no secondary pollution, and the abil...

AI Technical Summary

Problems solved by technology

However, due to the influence of various factors such as wastewater discharge or weather, the water quality usually presents certain fluctuations and certain time correlations. When collecting online spectral data at the same time, almost all the data of the actual process are multi-scale, so , it is necessary to improve the traditional principal component analysis ultraviolet water quality anomaly detection method

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