A dissolved oxygen concentration optimization method based on activated sludge water treatment

A technology of dissolved oxygen concentration and activated sludge, which is applied in general water supply conservation, neural learning methods, electrical digital data processing, etc., can solve problems such as difficulty in establishing mathematical models for dissolved oxygen concentration and influencing factors, and difficulty in establishing mathematical models

Inactive Publication Date: 2019-05-03
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for optimizing dissolved oxygen concentration based on activated sludge water treatment for the problem that it is difficult to establish a mathematical model between dissolved oxygen concentration and influencing factors in the process of urban sewa

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  • A dissolved oxygen concentration optimization method based on activated sludge water treatment
  • A dissolved oxygen concentration optimization method based on activated sludge water treatment
  • A dissolved oxygen concentration optimization method based on activated sludge water treatment

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Embodiment

[0088] In the present invention, by analyzing the coupling between the various influencing factors in the activated sludge process and researching the treatment process, the integrated learning model based on XGBoost is used to predict the effluent parameter value, and the APSO-BP algorithm is used to optimize the dissolved oxygen concentration. Proceed as follows:

[0089] Step 1: Collect data from two sewage plants in Jinniu and Wanshan, and divide the data set into training set, verification set and test set according to the ratio of 3:1:1; the training set is used to train the model; the verification set is used to To detect whether the model is overfitting or underfitting, and judge the learning effect of the model; the test set is used to detect the generalization ability of the model. The data set here is the input data set of the xgboost effluent water quality prediction model.

[0090] Step 2: According to the characteristics of the data, make normal adjustments to s...

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Abstract

The invention discloses a dissolved oxygen concentration optimization method based on activated sludge water treatment. The method comprises the following steps: step 1, establishing an activated sludge water treatment system model; step 2, improving the particle swarm algorithm; step 3, establishing an integrated effluent quality prediction model based on XGBoost and performing simulation calculation on the integrated effluent quality prediction model to obtain a real-time effluent parameter value of the water quality model; step 4, using APSO-BP method for dynamically optimizing the dissolved oxygen concentration in inlet water quality to obtain an optimal dissolved oxygen concentration set value. According to the optimization method, an integrated learning model based on XGBoost is adopted to predict the parameter value of the effluent quality in real time, and APSO-BP is adopted to predict the parameter value of the effluent quality in real time; the BP method establishes the dissolved oxygen concentration optimization model, on the basis of ensuring the effluent quality, the problems of large effluent parameter value time delay, low precision and the like in the activated sludge process sewage treatment process are solved, the enterprise production cost is reduced through reasonable aeration of the aeration tank, and efficient and stable operation of a factory is promoted.

Description

technical field [0001] The present invention adopts an integrated learning method based on xgboost to predict the parameter value of effluent water quality in real time. The difference between the effluent parameter value and the national standard value is used as feedback information, and the improved particle swarm optimization algorithm is used to globally optimize the parameter value to obtain the initial global optimal value. The BP neural network is used to establish a multi-objective optimization model with constraints to solve the problem that there is no precise mathematical description between the dissolved oxygen concentration and its influencing factors. Background technique [0002] In recent years, with the rapid development of the economy, the level of urbanization and industrialization is getting higher and higher, and the demand for water resources in the economy and society is increasing year by year. At the same time, the continuous discharge of industria...

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Application Information

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IPC IPC(8): G06F17/50G06N3/08
CPCY02A20/152
Inventor 赵友标高俊波孙伟张天麟赵欣怡
Owner SHANGHAI MARITIME UNIVERSITY
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