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

A technology of self-adaptive prediction and sewage treatment, applied in the direction of self-adaptive control, general control system, control/regulation system, etc., can solve the problems of abnormal collected data, large data value, and no better solution.

Active Publication Date: 2019-10-11
NORTHEASTERN UNIV
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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

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

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[0072] The present invention will be further described below in conjunction with the drawings and specific embodiments.

[0073] The invention performs adaptive predictive control on the sewage treatment process based on integrated real-time learning. The sewage treatment process adopts such as figure 1 The conventional sewage treatment process shown. The conventional sewage treatment process involves the primary sedimentation tank and the secondary sedimentation tank of a sewage treatment plant, and a conventional measurement transmission system is installed on the sewage treatment object. The biochemical reaction tank part of the conventional sewage treatment process includes the first partition of anaerobic zone 1, the second partition of anaerobic zone 2, the third partition of anaerobic zone 3, the fourth partition of aerobic zone 4, the fifth partition of aerobic zone 5. The fifth partition 5 of the aerobic zone is equipped with a fifth partition controller 7, a fifth par...

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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...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 周平陈玮琦王宏
Owner NORTHEASTERN UNIV
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