Membrane bioreactor-mbr membrane fouling intelligent decision-making method

Abstract

Membrane bioreactor-MBR membrane fouling intelligent decision-making method belongs to the field of online early warning of water quality parameters in sewage treatment. Firstly, the mechanism of membrane fouling was deeply analyzed, and a membrane fouling prediction model based on deep belief network was constructed to realize the accurate prediction of membrane permeability; secondly, based on the comprehensive evaluation of membrane fouling, by using the fusion of the predicted value of permeability and related parameter variables, the Intelligent early warning of membrane fouling; Secondly, based on the main factors of membrane fouling, an intelligent decision-making model based on data and knowledge is established to provide decision support for operators, reduce the harm caused by membrane fouling, reduce the incidence of membrane fouling, and ensure MBR The sewage treatment process is safe and promotes the efficient and stable operation of the MBR sewage treatment plant.

Description

technical field [0001] The invention belongs to the field of online early warning of water quality parameters in sewage treatment, and is the first to build an intelligent early warning system for membrane bioreactor-MBR membrane pollution. On the basis of the real operation data of the MBR membrane sewage treatment process, the characteristic variables of the water permeability of the MBR membrane are extracted by the feature analysis method, and the soft sensor model is established by using the deep heart belief network to predict the membrane that is difficult to directly measure in the MBR membrane sewage treatment process. Water permeability; using the predicted value of water permeability, combined with other process variables that can be collected in the water plant, establish a comprehensive evaluation model for membrane fouling, determine the main factors of membrane fouling, and realize intelligent early warning of membrane fouling; based on data and knowledge driven,...

AI Technical Summary

Problems solved by technology

[0003] The invention relates to a membrane bioreactor-MBR membrane pollution intelligent decision-making method. The system uses a feature analysis method to extract characteristic variables and establishes a soft measurement model of membrane water permeability based on a deep belief network to realize water permeability in the process of membrane treatment of sewage. Accurate prediction, using the predicted value of water permeability, combined with other process variables that can be collected in the water plant, to establish a comprehensive evaluation model for membrane pollution. However, the intelligent decision-making system for membrane pollution at home and abroad has not yet formed a complete theoretical system. Based on intelligent methods, it includes The intelligent decision-making method for MBR membrane pollution, including software and hardware platforms, has high development and application value in filling the technical gap at home and abroad and integrating the sewage treatment industry chain.

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