Supercharge Your Innovation With Domain-Expert AI Agents!

Method for identifying PVDF (polyvinylidene fluoride) membrane pollutants in MBR (membrane bioreactor) process

An identification method and pollutant technology, which is applied in the field of membrane pollution identification, can solve the problems that hinder the wide application of membrane separation technology, performance degradation, and increase in operating costs, and achieve the effect of targeted cleaning

Pending Publication Date: 2022-05-17
ZHEJIANG SHUANGYI ENVIRONMENTAL PROTECTION TECH DEV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Membrane fouling is a prominent problem hindering the widespread application of membrane separation technology
In the process of MBR sewage treatment, after the membrane is affected by pollution, there will be problems such as performance degradation, reduced separation effect, and increased operating costs.

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
  • Method for identifying PVDF (polyvinylidene fluoride) membrane pollutants in MBR (membrane bioreactor) process
  • Method for identifying PVDF (polyvinylidene fluoride) membrane pollutants in MBR (membrane bioreactor) process
  • Method for identifying PVDF (polyvinylidene fluoride) membrane pollutants in MBR (membrane bioreactor) process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] A method for identifying PVDF membrane pollutants in an MBR process, the specific steps are as follows:

[0054] (1) Take the clean membrane used in the MBR process, measure and collect the data of the clean membrane, mainly including the water flux data of the membrane under different pressures, the energy spectrum analysis data of the clean membrane, and the Fourier transform of the clean membrane. Transform the Attenuated Total Reflectance Infrared Spectroscopy (ATR-FTIR) image, the scanning electron microscope data of the clean membrane and the thermogravimetric curve (TG) of the clean membrane to establish a standard database.

[0055] (2) Take the polluted membrane silk in the MBR process, and judge whether the membrane pollutant can be peeled off from the membrane surface; if the membrane pollutant can be peeled off, it is generally a metal texture, and 0.5g of the pollutant can be taken for X-ray diffraction analysis (XRD), Do θ / 2θ scanning, scanning range: 5-90...

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 a method for identifying PVDF (Polyvinylidene Fluoride) membrane pollutants in an MBR (Membrane Bioreactor) process, which comprises the following steps: measuring and collecting membrane clear water flux data, energy spectrum analysis data, Fourier transform attenuated total reflection infrared spectrum image data, scanning electron microscope data and thermogravimetric curve data of cleaning membrane filaments under different pressure difference forces, and establishing a basic database; judging whether the membrane pollutants can be stripped from the membrane surface or not; if the pollutants can be stripped, carrying out X-ray diffraction analysis, and determining pollutant components; if not, carrying out thermogravimetric analysis; and judging the types of the membrane pollutants according to the TG% curve. The pollutant identification method aiming at the PVDF membrane is provided by utilizing the characteristics such as the infrared spectrum and the thermogravimetric curve of the membrane pollutants, so that the types of the pollutants on the polluted membrane filaments can be more accurately judged, and the targeted cleaning of the membrane pollutants is realized.

Description

technical field [0001] The invention relates to the technical field of membrane pollution identification, in particular to an identification method for PVDF membrane pollutants in an MBR process. Background technique [0002] Membrane fouling is a prominent problem that hinders the widespread application of membrane separation technology. In the MBR sewage treatment process, after the membrane is affected by pollution, there will be problems such as performance degradation, reduced separation effect, and increased operating costs. Due to the inevitability of membrane fouling, after a certain period of operation, the membrane fouling substances must be cleaned by physical or chemical methods to ensure the separation effect. In the engineering application of the MBR process, users are more concerned about how to find out what the main pollutants are after the membrane is polluted, and how to clean the membrane to restore the membrane flux. [0003] Therefore, it is necessary...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/552G01N23/2251G01N23/207G01N23/20091G01N5/00G01N27/626G01N21/73
CPCG01N21/552G01N23/2251G01N23/207G01N23/20091G01N5/00G01N27/626G01N21/73
Inventor 李荧史文悦樊宇坤蔡潇彦叶涛
Owner ZHEJIANG SHUANGYI ENVIRONMENTAL PROTECTION TECH DEV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More