Adaptive predictive control method for sewage treatment process based on integrated instant learning

Abstract

The invention relates to the technical field of sewage treatment process control, and provides to an adaptive predictive control method for a sewage treatment process based on integrated instant learning. The method comprises the following steps of firstly determining the controlled quantity and control quantity, and collecting historical data of the sewage treatment process and constructing a historical database; then constructing a query regression vector, selecting an optimal similar learning subset under different similarity indexes, processing abnormal data, training to obtain a pluralityof groups of prediction models, and obtaining an integrated prediction model through integrated weighting; and calculating the reference trajectory, constructing an optimized control performance index, and obtaining the optimal control quantity; and finally, sending the optimal control quantity to a PLC system by a host computer to adjust a fifth zone oxygen volume regulating valve, collecting the latest group of measurement data, and updating the historical database. According to the adaptive predictive control method for the sewage treatment process based on the integrated instant learningprovided by the invention, adaptive stable and accurate control can be carried out on the sewage treatment process, the utilization rate of off-line and on-line input / output measurement data is improved, and the influence of input and output interferences and the abnormal data on control is effectively inhibited.

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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