Adaptive predictive control method for sewage treatment process based on integrated real-time learning

Abstract

The invention relates to the technical field of sewage treatment process control, and provides an adaptive prediction control method for sewage treatment process based on integrated real-time learning. Construct the query regression vector, select the optimal similar learning subsets under different similarity indicators, process abnormal data, train to obtain multiple sets of prediction models, and obtain integrated prediction models through integrated weighting; then calculate the reference trajectory, construct the optimal control performance index, and solve the problem The optimal control quantity is obtained; the upper computer sends the optimal control quantity to the PLC system to adjust the oxygen quantity control valve in the fifth zone, collects the latest set of measurement data, and updates the historical database. The invention can carry out self-adaptive, stable and precise control of the sewage treatment process, improve the utilization rate of offline and online input and output measurement data, and effectively suppress the influence of input and output interference and abnormal data on control.

Description

technical field [0001] The invention relates to the technical field of sewage treatment process control, in particular to an integrated real-time learning-based adaptive predictive control method for sewage treatment process. Background technique [0002] As the most serious problem on the earth today, water pollution has brought great challenges to the development of human industrial sewage treatment technology. The sewage treatment process has the following characteristics: complex biochemical reactions, large fluctuations in water quality due to seasonal weather, various states Variable coupling is a time-delay nonlinear process. Due to its nonlinearity and the complexity of biochemical reactions, the mechanism model cannot be accurately described, so it is difficult to carry out stable control. There are two important bottom-level control loops in the sewage treatment process, one is the dissolved oxygen concentration control of the fifth zone, and its operating variabl...

AI Technical Summary

Problems solved by technology

Moreover, due to the influence of the failure of detection instruments and transmitters and other abnormal interference on the measurement data, there are often data abnormalities in the collected data, such as: the data value is larger than the actual situation or the data is missing.

At present, there is no good related solution in the process of sewage treatment control

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