Weighted probability slow feature model-based sewage treatment process soft measurement method

Abstract

The invention relates to a sewage treatment process soft measurement method based on a weighted probability slow feature model, which comprises the following steps: firstly, carrying out online sampling on a sewage treatment process to obtain a training sample set and a query sample at a next moment, establishing a weighted probability slow feature analysis model to extract slow features of the training sample, and estimating model parameters by adopting an EM algorithm; then establishing a local weighted regression model between the output variables and the slow features; and for a current query sample, extracting slow features and predicting the output of the query sample, then adding the query sample into a training sample set, waiting for an online sampling sample of a next sewage treatment process, and repeating the steps to predict the output so as to obtain an online prediction result of the effluent quality in the sewage treatment process. According to the method, the nonlinear dynamic modeling capability of the sewage treatment process and the prediction effect of the effluent quality are improved, and the sewage treatment process monitoring and control based on the method are more effective.

Description

technical field [0001] The invention belongs to the technical field of sewage treatment, and relates to a soft measurement method for a sewage treatment process, in particular to a soft measurement method for a sewage treatment process based on a weighted probability slow characteristic model. Background technique [0002] With the rapid development of modern industry and the continuous improvement of people's living standards, sewage discharge is increasing day by day, and water pollution has become a major environmental problem in the world. Most of the urban sewage in my country is treated by activated sludge method. Through the action of microorganisms, under aerobic, anaerobic, anoxic and other conditions, the toxic magazines in the sewage are converted into harmless substances by biochemical reactions. However, some key quality indicators in the sewage treatment process are difficult to be directly measured online by instruments. The existing testing equipment has high...

AI Technical Summary

Problems solved by technology

However, due to the influence of many practical factors such as the complexity and variability of the biological treatment system, the coupling of multiple reaction processes, the fluctuation of influent water quality and quantity, and the actual operation control means, the sewage treatment process of activated sludge method is a strongly coupled multi-input process. The multi-output dynamic system has the characteristics of time-varying, high-dimensionality, nonlinearity, and uncertainty, which lead to low accuracy and long-term use of many existing soft-sensing methods in actual sewage treatment applications.

Images