Intelligent detection method for water permeation rate of membrane bioreactor MBR

A membrane bioreactor and intelligent detection technology, applied in biological neural network models, permeability/surface area analysis, instruments, etc., can solve problems that have not yet formed a theoretical system

Pending Publication Date: 2017-05-24
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] According to our research and investigation over the years, the use of soft sensor technology based on neural network can realize accurate and real-time detection of water permeability in the process of membrane treatment of sewage, ...

Method used

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  • Intelligent detection method for water permeation rate of membrane bioreactor MBR

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Experimental program
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Embodiment Construction

[0066] (1) The specific implementation of the research on the soft measurement technology of the outlet water permeability

[0067] ① The input variables are collected through the online detection instrument placed on the process site. There are 5 kinds of variables to be collected. The parameter information and collection location are shown in Table 1.

[0068] Table 1 The types of process variables collected

[0069]

[0070] ②Use the fuzzy neural network to establish the soft sensor model of the outlet water permeability, and use the real-time collected data to train and test the fuzzy neural network. Select 80 sets of data for testing. The collected data are shown in Table 2.

[0071] ③ Correct the established soft sensor model of outlet water permeability, and the obtained simulation error curve and prediction result graph are respectively Figure 4 , Figure 5 shown.

[0072] (2) The specific implementation of the design of the intelligent detection system for wa...

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Abstract

The invention discloses an intelligent detection method for the water permeation rate of a membrane bioreactor MBR, and belongs to the field of online detection of water quality parameters of sewage treatment. Five process variables with high relativity to the water permeation rate are provided by using a feature analysis method based on biochemical reaction features in an MBR membrane sewage treatment process, a water permeation rate soft measurement technology is designed, and the water permeation rate soft measurement technology is inserted into an intelligent detection system, thus developing operation-facilitating human-machine interaction software; meanwhile, based on a functional requirement, the intelligent detection system for the MBR membrane sewage treatment process is designed; an intelligent water permeation detection system hardware platform, operation software and the water permeation rate soft measurement technology are integrated so as to form a complete intelligent water permeation detection system. The intelligent detection method can quickly and accurately forecast the size of the water permeation rate in the membrane sewage treatment process, and fills the blank of real-time detection of the water permeation rate in the MBR membrane sewage treatment process home and abroad.

Description

technical field [0001] The invention belongs to the field of online detection of water quality parameters in sewage treatment, and is the first to build an intelligent detection system for membrane bioreactor-MBR outlet water permeability. The method includes building a hardware platform for an intelligent detection system of water permeability and obtaining relevant process variables, design of an intelligent detection system for water permeability and integrated development of software and hardware functions, and realizing online intelligent detection of water permeability and real-time display of detection results. Background technique [0002] According to the "China Sewage Treatment Industry Market Prospect and Investment Strategic Planning Analysis Report", by the end of 2015, a total of 3,717 sewage treatment plants had been built in cities and counties across the country, with a sewage treatment capacity of 157 million cubic meters per day, an increase compared with 2...

Claims

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Application Information

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IPC IPC(8): G01N15/08G06F17/50G06N3/04
CPCG01N15/08G01N2015/086G06F30/20G06N3/043Y02A20/152
Inventor 韩红桂张硕乔俊飞
Owner BEIJING UNIV OF TECH
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