Online monitoring method and system for MBR membrane pollution

Abstract

The invention discloses an online monitoring method and system for MBR membrane pollution, and the method comprises the steps: obtaining MBR membrane pollution influence parameters in incoming water at a current moment, inputting the MBR membrane pollution influence parameters at the current moment into a current optimal LSTM recurrent neural network model, obtaining a membrane flux prediction result at the current moment, and judging the pollution and blockage conditions of an MBR; wherein the LSTM recurrent neural network model is mainly established on the basis of a training data set formedby MBR membrane pollution influence factors and historical data of membrane flux according to principal component analysis and an LSTM recurrent neural network algorithm. According to the method, theredundancy in the MBR membrane flux judgment process is reduced through a principal component analysis algorithm, the dimensionality of a training sample is reduced, and the calculation speed is increased; aiming at the time characteristic of MBR membrane pollution, the LSTM recurrent neural network solves the problem of time serialization. According to the method, a nonlinear relationship between membrane pollution factors and membrane flux representing the membrane pollution degree is well established, and the pollution and blockage conditions of the membrane are predicted in advance.

Description

Technical field [0001] The present invention relates to the field of wastewater treatment of thermal power plants, and in particular, to an online monitoring method and system for MBR membrane contamination. Background technique [0002] Currently, the membrane bioreactor (MBR) is a high-efficiency wastewater treatment process produced by the organic combination of sewage biological treatment techniques and membrane technology, which uses microorganisms to degrade the organic particles in sewage in the membrane bioreactor. To achieve the purpose of purifying water quality. This technology can effectively improve the quality of water quality, avoiding various disadvantages such as sludge expansion and low sludge concentration in traditional biological treatment methods. [0003] Studies have shown that the membrane bioreactor during wastewater treatment, the physical reactions and chemical reactions of the membrane, solid particles, organic matter, salt and other substances in the...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for on-line monitoring of MBR membrane fouling, which overcomes the def

Images