Aeration system dissolved oxygen control method based on adaptive neural network model

Abstract

The invention provides an aeration system dissolved oxygen control method based on a self-adaptive neural network model. The aeration system dissolved oxygen control method comprises the following steps: obtaining related water quality monitoring data of a sewage treatment plant, and carrying out data preprocessing on the related water quality monitoring data; carrying out principal component analysis on the preprocessed related water quality monitoring data and the dissolved oxygen concentration value of the aeration system by utilizing a principal component analysis method, and determining a water quality parameter with the highest contribution rate to a principal component; taking a water quality parameter which is determined by a principal component analysis method and has the highest contribution rate to a principal component as the input of the adaptive neural network model, and predicting the dissolved oxygen concentration value of the aeration system at each moment through the adaptive neural network model; and optimizing a dissolved oxygen predicted value obtained by the adaptive neural network model through a fuzzy algorithm to obtain an optimal regulation and control value, and performing online regulation and control on a fuzzy control system of the adaptive neural network model by using the optimal regulation and control value.

Description

technical field [0001] The invention provides a method for controlling dissolved oxygen in an aeration system based on an adaptive neural network model, which belongs to the technical field of system control. Background technique [0002] With the increasingly serious water pollution problem and the country's emphasis on the environmental protection industry, sewage treatment has become an important part of municipal construction. For a long time, the secondary biological treatment of urban domestic sewage in my country has mostly adopted the activated sludge method, which is the most widely used secondary biological treatment process in the world, and has the advantages of high processing capacity and good effluent quality. The activated sludge process is to aerate the sewage through the blower, and use the metabolism of the aerobic microorganisms in the sewage to decompose, absorb or absorb the pollutants in the sewage and finally realize the process of water purification....

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method for controlling dissolved oxygen in an aeration system based on an adaptive neural network model. Using the water quality parameter data related to the aeration tank provided by the sewage treatment system, a dissolved oxygen concentration prediction model is established and an online regulation method is performed. , in order to improve the effluent water quality of the sewage treatment plant, reduce the energy consumption system, and solve the problems of low water quality and high energy consumption in the existing control method of sewage treatment. The technical scheme adopted is as follows:

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