Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

MBR membrane permeable rate intelligent detection method based on recursion RBF neural network

An intelligent detection and neural network technology, applied in neural learning methods, biological neural network models, etc., can solve the problems that the water permeability cannot be directly measured, the inability to realize accurate online prediction of membrane fouling status, and the hysteresis of water permeability, etc., so as to improve the water yield. Effects of water quality and service life

Active Publication Date: 2016-11-09
BEIJING UNIV OF TECH
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Water permeability cannot be directly measured, and water plants generally use calculation methods to estimate the water permeability, which leads to a serious hysteresis in the water permeability and cannot achieve accurate online prediction of membrane fouling

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • MBR membrane permeable rate intelligent detection method based on recursion RBF neural network
  • MBR membrane permeable rate intelligent detection method based on recursion RBF neural network
  • MBR membrane permeable rate intelligent detection method based on recursion RBF neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention obtains a kind of intelligent detection method of MBR membrane water permeability based on recursive RBF neural network; Its characteristic is to obtain the characteristic variable of MBR membrane water permeability through characteristic analysis, utilize recursive RBF neural network to establish the soft sensor model of MBR membrane water permeability , to realize the intelligent detection of the water permeability of the MBR membrane, improve the real-time monitoring level of the membrane water permeability of the sewage treatment plant, and ensure the normal operation of the sewage treatment process;

[0056] The experimental data comes from the measured data of a sewage treatment plant in 2015. After the data is preprocessed, 150 sets of data are selected as the analysis data, 70 sets of data are used as the training data of the neural network, and 80 sets of data are used as the test data of the neural network. Include the following steps:

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an MBR membrane permeable rate intelligent detection method based on a recursion RBF neural network and belongs to the field of sewage processing water quality parameter online detection. In an MBR membrane sewage processing process, the problem of pollution affects the outlet water quality of a membrane and the life of the membrane and prevents large scale application of the membrane; and the MBR membrane sewage processing process is severe in random interference and also has the disadvantages of high nonlinearity, large time variation and severe lag, and the pollution cannot be directly measured and detected in an online mode. According to the method based on feature extraction, six types of process variables highly relevant to a permeable rate are obtained; and at the same time, by taking the membrane permeable rate as output of a model and the six types of process variables as input of the model, a soft measurement model of the membrane permeable rate is established based on the recursion RBF neural network, and real-time detection of a membrane pollution degree is completed, quite good precision is obtained, a result indicates that the permeable rate can be rapidly and accurately predicted, stable and safe operation of the MBR membrane sewage processing process is ensured, and the quality and the efficiency of membrane sewage processing quality are improved.

Description

technical field [0001] The invention belongs to the field of online detection of water quality parameters in sewage treatment. 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 a feature analysis method, and the soft sensor model is established by using a recursive RBF neural network to predict It is difficult to directly measure the water permeability of the membrane in the process of MBR membrane sewage treatment; the intelligent detection method is applied to the process of MBR membrane sewage treatment, and the online intelligent detection of the membrane water permeability is realized, and the pollution status of the membrane is obtained online according to the water permeability, which improves the The effluent water quality and service life of the membrane. Background technique [0002] According to the "China Sewage Treatment Industry Market...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N3/08
CPCG06N3/08
Inventor 韩红桂张硕侯莹乔俊飞
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com