CN113176236A - Large-scale visual membrane pollution in-situ online monitoring system suitable for membrane filtration - Google Patents
Large-scale visual membrane pollution in-situ online monitoring system suitable for membrane filtration Download PDFInfo
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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Abstract
The invention discloses a large-scale visual membrane pollution in-situ online monitoring system suitable for membrane filtration, which comprises a membrane filtration mechanism, an optical imaging mechanism, a data analysis mechanism and a flow control mechanism, wherein the membrane filtration mechanism is used for filtering the large-scale visual membrane pollution in-situ online monitoring system; the optical imaging mechanism comprises a light sheet excitation module, a detection module, a sample pool device module and a displacement device module, wherein the sample pool device module is arranged in the membrane filtering mechanism, laser light sheets with different thicknesses are emitted and formed by the light sheet excitation module to carry out selective surface excitation on a filtering membrane in the sample pool device module, and the detection module carries out micro-detection on different sample planes of the filtering membrane to obtain optical slice images on the surface and inside of the membrane to be imaged and then transmits the imaged optical slice images to the data analysis mechanism for processing and analysis; the displacement device module is connected with the sample cell device module to adjust the position of the sample cell device module. The method can be implemented on line, can clearly and completely record the film pollution process and carry out accurate, effective and visual representation.
Description
Technical Field
The invention belongs to the technical field of environmental protection, relates to an online monitoring system for the membrane filtration pollution condition, and particularly relates to a large-scale visual in-situ membrane pollution online monitoring system suitable for membrane filtration.
Background
Because of the large population of China, uneven water resource distribution, the common problems of water source pollution and the like of drinking water, the safety and health of the drinking water have attracted general attention of people and become an important problem related to the livelihood of people. Compared with the traditional purification process, the membrane separation process has the advantages of good screening performance, compact occupied area, easiness in automatic control and the like, so that the membrane separation process is expected to become a new technology for improving the efficiency of a water treatment project. However, during the membrane filtration process, various pollutants (polysaccharides, proteins, humic acid, etc.) in the water body can be attached to and accumulated in the membrane surface/membrane pores to form membrane pollution, which leads to the problems of reduced membrane filtration performance, shortened membrane service life, increased membrane process cost, etc.
The basic strategy for solving the membrane fouling problem is to deeply understand the membrane fouling behavior and then to mitigate the membrane fouling by regulating the physicochemical properties (e.g., hydrophilic modification, etc.) of the separation membrane. The membrane pollution process is complex, and the accurate analysis of the membrane pollution process and the formation mechanism are the key points for breaking the membrane pollution. Therefore, the industry has developed and introduced a number of membrane fouling monitoring technologies to describe membrane fouling behavior. Although the existing film pollution monitoring technologies such as X-ray energy spectrum, scanning electron microscope, atomic force microscope and the like have been successfully used for characterizing a film pollution layer, the existing technologies are limited by equipment, only offline characterization can be realized on the pollution layer, and online real-time monitoring on the film pollution process cannot be carried out, so that direct film interface reaction information and evidence of an interface action mechanism cannot be obtained. Even though the above-mentioned techniques allow separate sampling measurements at different time nodes of the membrane fouling process, the same sample is difficult to reuse after the sample preparation measurements of the above-mentioned techniques. The non-identity and the non-continuity of the sample can cause the indirect splicing of information, influence the accurate and effective visual description of the membrane pollution process, and limit the further analysis of people on the membrane pollution mechanism.
In recent years, optical and spectroscopic techniques have also been used for extracting chemical composition information of a membrane pollution layer as a highly sensitive and noninvasive imaging tool, but the techniques generally have the problems of shallow observation depth, complex characterization process, incapability of in-situ observation and the like, and limit further research on a membrane pollution mechanism. Among them, Laser Induced Microscopy (LIM) has recently achieved in situ visualization imaging of concentration polarization during membrane ultrafiltration based on fluorescence contrast, but its simple optical system can only provide limited spatial information; surface Enhanced Raman Spectroscopy (SERS) and stimulated raman scattering microscopy have been successfully applied to fouling studies to identify the chemical composition of membrane fouling without labels, but the 3D spatial/chemical distribution measurements of the membrane are performed after filtration and the sample needs to be fixed by a slide; confocal Scanning Laser Microscopy (CSLM) has been widely used to explore the characterization of membrane structure and fouling behavior by providing high resolution 3D fluorescence profiles, however the penetration depth of CSLM is limited to tens of microns and imaging mostly needs to be done after filtering. In addition, CLSM takes very slow millimeter-scale samples (e.g., imaging time on millimeter-scale areas from a few minutes to tens of minutes), which also limits the study of CSLM on membrane fouling processes.
Disclosure of Invention
The invention aims to solve the technical problem of providing a large-scale visual membrane pollution in-situ online monitoring system which can be implemented on line, can clearly and completely record a membrane pollution process and can carry out accurate, effective and visual representation and is suitable for membrane filtration, aiming at the defects of the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a large-scale visual membrane pollution in-situ online monitoring system suitable for membrane filtration mainly comprises: the sewage treatment system comprises a membrane filtering mechanism forming a sewage membrane filtering treatment process, an optical imaging mechanism used for arranging a filtering membrane and carrying out fluorescence imaging on the filtering membrane and acquiring information, a data analysis mechanism used for processing optical slice image information acquired by the optical imaging mechanism and carrying out fluorescence quantitative and depth quantitative analysis, and a flow control mechanism for realizing comprehensive control on the optical imaging mechanism and the membrane filtering mechanism;
the optical imaging mechanism comprises a light sheet excitation module, a detection module, a sample cell device module and a displacement device module, wherein the sample cell device module is used for arranging a filtering membrane, the sample cell device module is arranged in the membrane filtering mechanism, the light sheet excitation module emits and forms laser light sheets with different thicknesses to carry out selective surface excitation on the filtering membrane in the sample cell device module, and the detection module carries out micro-detection on different sample planes of the filtering membrane to obtain optical slice images on the surface and inside of the membrane for imaging and then transmits the images to the data analysis mechanism for processing and analysis; the displacement device module is connected with the sample cell device module to adjust the position of the sample cell device module.
Further, be applicable to among the visual membrane pollution normal position on-line monitoring system of membrane filtration's large-scale, preferably membrane filtration mechanism includes first pond and the second pond through the tube coupling, sample cell device module is connected in the pipeline between first pond and the second pond, sample cell device module the place ahead or rear are equipped with the power unit of carrying the sewage in the first pond to sample cell device module, the rivers after the sample cell device module filters are to the second pond.
Further, in the large-scale visualized membrane contamination in-situ online monitoring system suitable for membrane filtration, preferably, the light sheet excitation module comprises a laser, a scanner and an optical mechanism for adjusting the light sheet form to adapt to imaging.
Furthermore, in the large-scale visual membrane pollution in-situ online monitoring system suitable for membrane filtration, preferably, the sample cell device module comprises the sample cell, a filtration membrane placing frame for placing a filtration membrane is arranged in the sample cell, and a light-transmitting window for detecting the work of the module is arranged in the sample cell right opposite to the filtration membrane placing frame; the sample cell is the enclosed construction, sealed and filtration membrane rack is with space division for straining the preceding space of sample cell and strain the back space between filtration membrane rack and the sample cell inner wall, and the sample cell in the space before straining and the sample cell in the space after straining are respectively through the tube coupling in membrane filter mechanism.
Further, in the large-scale visual membrane pollution in-situ online monitoring system suitable for membrane filtration, the filter membrane placing rack is preferably arranged in an inclined manner; the detection direction of the detection module for detecting the filtering membrane is perpendicular to the irradiation direction of the laser polished section in the polished section excitation module for the filtering membrane.
Further, in the large-scale visualized membrane contamination in-situ online monitoring system suitable for membrane filtration, preferably, the detection module includes a microscope for performing microscopic detection on different sample planes respectively, which are subjected to fluorescence display by laser light sheet excitation, an imaging mechanism for performing one-by-one imaging on the sample planes subjected to microscopic detection, and a shifter for adjusting the position of the microscope.
Further, in the large-scale visualized membrane pollution in-situ online monitoring system suitable for membrane filtration, preferably, the displacer is a piezoelectric ceramic displacer.
Further, in the large-scale visualized membrane pollution in-situ online monitoring system suitable for membrane filtration, preferably, the displacement device module is a three-axis platform for fixing the sample cell module.
Further, in the large-scale visualized membrane contamination in-situ online monitoring system suitable for membrane filtration, preferably, the data analysis mechanism includes a three-dimensional image processing module for processing optical slice image data acquired by the optical imaging mechanism, and a quantitative analysis module for calculating total pollutant fluorescence or performing deep fluorescence distribution analysis on the optical slice image data.
Wherein, the three-dimensional image processing module is: performing preprocessing on optical slice image data acquired by an optical imaging mechanism to obtain a large-view-range slice image group and realizing batch output of tiff image stacks through a bfmatlab function packet; and performing image three-dimensional cutting on the tiff image stack, and outputting a three-dimensional image and an X-Y, X-Z, Y-Z sectional image.
Further, in the large-scale visualized membrane pollution in-situ online monitoring system suitable for membrane filtration, preferably, the flow control mechanism comprises a membrane filtration mechanism control unit, a detection module control unit, a sample cell device module control unit, a displacement device control unit, a light sheet excitation module control unit, and a main controller for receiving signals of the control unit and sending control instructions.
The invention adopts the light sheet excitation module in the optical imaging mechanism to realize high space-time resolution, takes the fluorescence microscopic detection of the detection module as the center, combines with the membrane filtering mechanism specially suitable for the optical imaging mechanism, establishes the membrane filtering on-line three-dimensional light sheet fluorescence microscopic imaging system suitable for the membrane pollution in-situ real-time large-scale on-line imaging, and breaks through the limitation of the existing characterization technology. The method provided by the invention realizes in-situ large-scale online observation of membrane pollution behaviors, and is a key link for developing a membrane pollution theory and realizing effective control of membrane pollution.
The invention forms a complete filtering system by the matching of the membrane filtering mechanism and the sample cell device module, the filtering membrane in the sample cell device module gradually accumulates the whole process of film pollution from the attachment of various pollutants on the surface/in the pores of the membrane, and the optical imaging mechanism and the data analysis mechanism can be used for collecting and processing optical slice image information and carrying out fluorescence quantitative and depth quantitative analysis at each stage of the film pollution. The invention can collect high resolution 3D fluorescence image of sample in larger scale (millimeter-centimeter), which adopts light sheet with determined thickness to carry out wide field illumination and images the illumination area through the light path orthogonal to the light sheet.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a schematic view of the interrelationship of components of an embodiment of the present invention;
FIG. 2 is a block diagram of the piping for a first implementation of a membrane filtration mechanism according to an embodiment of the present invention;
FIG. 3 is a block diagram of the piping for a second implementation of a membrane filtration mechanism according to an example of the invention;
FIG. 4 is a schematic structural view of a first embodiment of a membrane filtration mechanism according to an example of the present invention;
FIG. 5 is a schematic view of a first embodiment of a membrane filtration unit according to an embodiment of the present invention with the top cover and base side panels removed;
FIG. 6 is a schematic structural view of a second embodiment of a membrane filtration mechanism according to an example of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
As shown in fig. 1, a large-scale visualized membrane pollution in-situ online monitoring system suitable for membrane filtration mainly comprises: the system comprises a membrane filtering mechanism 100 for forming a sewage membrane filtering treatment process, an optical imaging mechanism 200 for arranging a filtering membrane, carrying out fluorescence imaging on the filtering membrane and acquiring information, a data analysis mechanism 300 for processing optical slice image information acquired by the optical imaging mechanism 200 and carrying out fluorescence quantitative and depth quantitative analysis, and a flow control mechanism 400 for realizing comprehensive control on the optical imaging mechanism 200 and the membrane filtering mechanism 100; the optical imaging mechanism 200 comprises an optical sheet excitation module 230, a detection module 210, a sample cell device module 220 and a displacement device module, wherein the sample cell device module 220 is arranged in the membrane filtering mechanism 100, laser optical sheets with different thicknesses are emitted and formed by the optical sheet excitation module 230 to carry out selective surface excitation on a filtering membrane in the sample cell device module 220, and the detection module 210 carries out micro-detection on different sample planes of the filtering membrane to obtain optical section images on the surface and inside of the membrane for imaging and then transmits the optical section images to the data analysis mechanism 300 for processing and analysis; the displacement device module is connected to the sample cell device module 220 to adjust its position.
According to the invention, a complete filtering system is formed through the membrane filtering mechanism 100, the sample cell device module 220 for arranging the filtering membrane is arranged in the filtering system, pollutants are gradually accumulated on the filtering membrane through a continuous filtering process, and in-situ online monitoring of the pollutants is realized through the light sheet excitation module 230 and the detection module 210.
The invention mainly comprises four major parts, namely a membrane filtering mechanism 100, an optical imaging mechanism 200, a data analysis mechanism 300 and a flow control mechanism 400, which are specifically explained in detail as follows:
as shown in fig. 2 to 3, the membrane filtration mechanism 100 is used to form a system for continuously filtering water, the membrane filtration mechanism 100 includes a first water tank 110 and a second water tank 120 connected by a pipeline 101, the sample cell device module 220 is connected in the pipeline 101 between the first water tank 110 and the second water tank 120, a power mechanism for delivering sewage in the first water tank 110 to the sample cell device module 220 is arranged in front of or behind the sample cell device module 220, and water filtered by the sample cell device module 220 flows to the second water tank 120. Wherein, the water in the first water tank 110 is the sewage before filtration, wherein continuous sewage is provided for the whole system, the whole process of membrane pollution caused by accumulated pollutants of the filtration membrane is realized, and a foundation is formed for accurately analyzing the membrane pollution process. The second basin 120 is used to hold filtered water. The first and second tanks 110 and 120 may have any structure suitable for storing or temporarily storing the polluted water and the filtered water according to the present invention, and the present invention is not limited thereto. Similarly, the pipeline 101 is used for transporting sewage or filtered water, and various parameters and structures such as material, size and the like are selected according to actual needs.
The optical imaging mechanism 200 includes an optical sheet excitation module 230, a detection module 210, a sample cell device module 220 for disposing a filter membrane, and a displacement device module, which are described below:
as shown in fig. 4 to 6, the sample cell device module 220 includes the sample cell 221, a filter membrane placing rack 222 for placing the filter membrane 500 is disposed in the sample cell 221, and a light-transmitting window for detecting the operation of the module 210 is disposed on the sample cell 221 facing the filter membrane placing rack 222; the sample cell 221 is of a closed structure, the space in the sample cell 221 is divided into a pre-filtration space and a post-filtration space by the filter membrane placing frame 222, the inner wall of the sample cell 221 is sealed, and the sample cell 221 in the pre-filtration space and the sample cell 221 in the post-filtration space are respectively connected to the membrane filtering mechanism 100 through the pipeline 101. In the large-scale visualized membrane pollution in-situ online monitoring system suitable for membrane filtration, preferably, the filtration membrane placing rack 222 is obliquely arranged, the detection direction of the detection module 210 and the irradiation direction of the laser polished section in the polished section excitation module 230 are arranged at 90 degrees and are perpendicular to each other.
The membrane filtration mechanism 100 of the present invention can employ positive pressure filtration and negative pressure filtration, depending on the principle. Two different embodiments are preferably adopted, one is a cross-flow type membrane filtering mechanism, and the other is a positive and negative pressure type membrane filtering mechanism.
As shown in fig. 2, which is a block diagram of a first embodiment of a membrane filtration mechanism, that is, a block diagram of a cross-flow membrane filtration mechanism, a power mechanism in this embodiment is a diaphragm pump 130, which is disposed between a first water tank 110 and a sample tank 221, and the diaphragm pump 130 provides constant power to push sewage in a pipeline to flow. The sewage in the first water tank 110 flows through the surface of the filtering membrane 500 in the sample tank 221 at a high speed through the diaphragm pump 130, the sewage is filtered out by the filtering membrane 500 under the action of osmotic pressure, and the filtered water enters the second water tank 120. The flow rate and pressure in the line 101 are controlled in cooperation by a pressure valve 140 and a pressure gauge 150.
As shown in fig. 3, the pipeline block diagram of the second embodiment of the membrane filtration mechanism, that is, the pipeline block diagram of the positive and negative pressure type membrane filtration mechanism, is shown, the power mechanism in this embodiment is a peristaltic pump 160, the peristaltic pump 160 is disposed in the pipeline 101 in front of the sample cell device module 220 or in front of the filtration membrane 500 of the sample cell 221, and the peristaltic pump 160 presses the sewage through the membrane by peristaltic pressurization so as to filter the sewage into the second water pool 120; a recorder 170 and a pressure gauge 150 are provided in the pipe 101.
According to different filtering principles, the sample cell device module 220 has two specific configurations:
as shown in fig. 4-5, the first embodiment is a cross-flow type sample cell device module, in which the sample cell 221 includes a base 221a and a top cover 221b, which are sealed and fastened to form a closed structure, the top cover 221b is connected to the base 221a by screws, and a waterproof pad is used to ensure the sealing of the filtering space. Wherein the base 221a is a box structure, and the top cover 221b is at least partially a plane structure to accommodate the light-transmitting window 223. In this embodiment, the base 221a is a rectangular parallelepiped, and the light-transmitting window 223 is obliquely disposed in the middle of the top cover 221 b. The filtering membrane placing frame 222 is arranged in the base 221a, a reticular gasket is arranged on the top surface of the filtering membrane placing frame 222, and the filtering membrane 500 is placed on the gasket. The gasket can be made of metal or high polymer materials, the pore size of the gasket is suitable for supporting the filtering membrane 500, the invention is not limited, and the gasket is woven by iron wires. The space between the filter membrane holder 222 and the inner wall of the sample cell 221, i.e., the base 221a, is sealed, and the space inside the sample cell 221 is divided into a pre-filtration space and a post-filtration space by the filter membrane holder 222. The filter membrane holder 222 is arranged to be horizontal, vertical or inclined, preferably, the top surface of the filter membrane holder 222 is arranged in an inclined manner, so that the filter membrane 500 is inclined to adapt to the simultaneous arrangement of the optical excitation and detection structure, the horizontal inclination angle alpha can be more than alpha and more than 0 degree, and preferably, alpha is 30 degrees. A water outlet 224 is arranged on the base 221a of the sample pool 221 corresponding to the filtered space, and the filtered water is collected by the water outlet 224; a water outlet 227 is arranged on the side wall of the space before filtration for forming water circulation. The light-transmitting window 223 is disposed on the top and the side, the light-transmitting window 223 is made of highly transparent quartz glass, and provides an optical window for the light sheet excitation module 230 and the detection module 210, and the sample cell 221 corresponding to the pre-filtration space has openings on both sides, which becomes the water inlet 225 connected to the membrane filtering mechanism 100 to allow the water flow to pass through the surface layer of the filtering membrane 500 at a high speed.
As shown in fig. 6, the second embodiment is: in the positive and negative pressure type sample cell device module, a sample cell 221 comprises a base 221a and a top cover 221b, a filter membrane placing frame 222 is arranged in the base 221a at an inclined angle, a reticular gasket is arranged on the top surface of the filter membrane placing frame 222, a filter membrane 500 is placed to adapt to optical excitation and detection, and a water outlet behind the gasket is connected with a peristaltic pump to perform negative pressure suction filtration; a water inlet 225 is arranged on one side of the base 221a and is connected with the first water tank 110 to ensure the water level in the tank; one side of the top cover 221b and the base 221a is a transparent window 223 made of highly transparent quartz glass, which provides an optical window for the light sheet excitation module 230 and the detection module 210.
The displacement device module is used for adjusting the position of the sample cell device module 220, is arranged below the sample cell device module 220, and adjusts the sample cell device module 220 in the up-down direction, the left-right direction and the front-back direction. Preferably, the displacement device module is a three-axis platform for fixing the sample cell 221 module, and the respective movement is realized in three directions of an X axis, a Y axis and a Z axis, so as to drive the sample cell 221 module to move and adapt to imaging.
Specifically, the displacement device module comprises a vertical Z-axis guide rail, and an X-axis guide rail and a Y-axis guide rail which are in mutually perpendicular sliding fit are arranged on the Z-axis guide rail in a matched mode, so that the movement of a three-axis structure is realized. The specific structure of the three-axis platform can adopt the existing three-axis platform.
In the optical sheet excitation module 230, since the optical imaging of the filtering membrane 500 needs to use laser as a light source, the laser emits and forms laser optical sheets with different thicknesses, the laser optical sheets perform selective surface excitation on the filtering membrane 500 in the sample cell device module 220, and perform micro-detection on different sample planes of the filtering membrane 500 to obtain optical slice image groups on the surface and inside of the membrane. The light sheet excitation module 230 includes a laser, a scanner, and an optical mechanism for adjusting the light sheet shape to adapt to the imaging.
The laser is a laser emitter, and laser is adopted to provide exciting light for the light source. The scanner is a two-dimensional galvanometer, wherein one dimension of the two-dimensional galvanometer scans at high speed to form an optical sheet, and the other dimension of the two-dimensional galvanometer controls the optical sheet to move in the vertical direction. The optical mechanism comprises an optical system consisting of a sleeve lens, a scanning lens, an achromatic lens and an objective lens, and the optical system and the scanning lens and the achromatic lens and the objective lens jointly act to adjust the light sheet form to adapt to imaging. The laser, the two-dimensional galvanometer and the optical mechanism can adopt the prior art, and are not described in detail herein.
The detection module 210 includes a microscope for performing microscopic detection on different sample planes respectively, which are displayed by fluorescence excited by the laser sheet, an imaging mechanism for imaging the microscopically detected sample planes one by one, and a shifter for adjusting the position of the microscope. Preferably, the displacer is a piezoelectric ceramic displacer. The microscope comprises a magnifying objective and a telescopic lens, and the structure of the microscope is the prior art and is not described in detail herein.
The imaging mechanism is used for imaging the sample planes of the microscopic detection one by one, and preferably adopts a camera.
The data analysis mechanism 300 includes a three-dimensional image processing module 310 for processing the optical slice image data acquired by the optical imaging mechanism 200, and a quantitative analysis module 320 for calculating the total amount of fluorescence of the contaminant or analyzing the distribution of the deep fluorescence from the optical slice image data.
The three-dimensional image processing module 310 cuts, splices, and renders the acquired optical slice group. The three-dimensional image processing module 310 includes MATLAB-based pre-processing and IMARIS-based post-processing; image processing software written based on the MATLAB GUI may perform a series of pre-processing operations on the optical slice data acquired by the optical imaging mechanism 200: importing a tiff format image stack, carrying out offset correction and splicing on a plurality of sections of optical slice images, and outputting the tiff image stack in batches; the post-processing procedure was performed in IMARIS: the three-dimensional visualization of the image, the coordinate axis transformation, the three-dimensional cutting, the final output of the three-dimensional visualization result image and the X-Y, X-Z, Y-Z direction section image are realized, and the depth information in the filtering membrane 500 is obtained through integration. The method can be specifically realized by adopting the existing three-dimensional image processing software.
The quantitative analysis module 320 is a quantitative analysis script written based on MATLAB GUI, which realizes calculation of the total fluorescence quantity characteristic data of the contaminants on the surface of the filter membrane 500 and in the filter membrane 500, realizes calculation of the fluorescence depth distribution of the contaminants in the filter membrane 500, and draws a total fluorescence quantity map and a fluorescence depth distribution map. Clicking an imported image on a GUI script interactive interface, and importing a tiff format image stack through a bfmatlab function package; inputting a calculation threshold, a surface threshold and a calculation depth; and (4) calculating the total click amount or the distribution depth to obtain an excel file of the fluorescence total value or the fluorescence distribution depth.
The quantitative calculation algorithm for the total fluorescence and the fluorescence depth is as follows:
considering that the surface of the filter membrane is always relatively parallel to the image edge in the slice, the threshold retrieval method is used to find the surface area of the filter membrane: for each slice, stopping searching when the search is carried out from the edge of the image to the inside to be larger than a set threshold value, recording the position (x0, y0, z0) of the surface of the filtering membrane, and assuming that the space inside the filtering membrane is within a certain depth below the surface of the filtering membrane; accumulating the image intensity values of all pixel points in the internal space of the filtering membrane to obtain a numerical value which is the total fluorescence, wherein the numerical value reflects the amount of pollutants in the filtering membrane; and further carrying out depth division on the internal space region of the filtering membrane, and carrying out statistics on the image intensity of pixels in different depth spaces to obtain the depth distribution of the pollutants in the filtering membrane. The method can be realized by adopting the existing fluorescence quantitative analysis software.
As shown in fig. 1, the process control mechanism 400 includes a membrane filtration mechanism control unit 420, a detection module control unit 430, a sample cell device module control unit 440, a displacement device module control unit 450, a light sheet excitation module control unit 450, and a main controller 410 for receiving signals from the above control units and sending control commands.
The membrane filtration mechanism control unit 420 comprises a pump controller, a pressure control valve, a pressure transmitter or a pressure gauge, which is arranged in the membrane filtration mechanism 100, wherein the pump controller is arranged on a power mechanism, for example: the device is arranged in a peristaltic pump or a diaphragm pump and is used for controlling the action of the pump, such as starting, closing and the like. The pressure control valve is arranged in the pipeline 101 of the membrane filtering mechanism 100 and is used for adjusting the pressure and the flow of the pipeline 101, and the pressure transmitting meter acquires the pressure or the flow information of the pipeline 101.
The device is started, the main controller 410 sends an instruction to the pump controller in the membrane filtration mechanism control unit 420, the power mechanism is started to convey sewage to the filtration membrane 500 in the sample cell device module 220 for filtration, the pressure transmission gauge or the pressure gauge transmits pressure information of the pipeline 101 to the main controller 410, and the main controller 410 controls the pressure and the flow of the pipeline 101 through the power mechanism or the pressure control valve. Upon detection, the main controller 410 sends a command to the pump controller in the membrane filtration mechanism control unit 420 and the power mechanism is turned off.
The detection module control unit 430 controls the object to be a camera, the main controller 410 sends an instruction to the camera for data acquisition, and the camera sends a picture back to the main controller 410. The displacement device module control unit 450 is used for controlling the displacement device module and the displacement device, and the main controller 410 sends an instruction to the three-axis platform to drive the sample cell 221 to move to a proper position; the main controller 410 sends an instruction to the piezoelectric ceramic displacer to drive the microscope objective to move.
The light sheet excitation module control unit 450 includes a scanner control and a laser control. The device is turned on, the main controller 410 sends an instruction to the laser to emit laser, and the main controller 410 controls the scanner to scan to form an optical sheet and position the optical sheet. The detection is complete and the main controller 410 sends an instruction to the laser to turn off the laser.
The above specific components of the flow control mechanism 400 and the specific implementation of the control signal flow may be implemented by the prior art, and are not described herein again.
Claims (10)
1. The utility model provides a visual membrane pollution normal position on-line monitoring system of large-scale suitable for membrane filtration which characterized in that mainly includes: the sewage treatment system comprises a membrane filtering mechanism forming a sewage membrane filtering treatment process, an optical imaging mechanism used for arranging a filtering membrane and carrying out fluorescence imaging on the filtering membrane and acquiring information, a data analysis mechanism used for processing optical slice image information acquired by the optical imaging mechanism and carrying out fluorescence quantitative and depth quantitative analysis, and a flow control mechanism for realizing comprehensive control on the optical imaging mechanism and the membrane filtering mechanism;
the optical imaging mechanism comprises a light sheet excitation module, a detection module, a sample cell device module and a displacement device module, wherein the sample cell device module is used for arranging a filtering membrane, the sample cell device module is arranged in the membrane filtering mechanism, the light sheet excitation module emits and forms laser light sheets with different thicknesses to carry out selective surface excitation on the filtering membrane in the sample cell device module, and the detection module carries out micro-detection on different sample planes of the filtering membrane to obtain optical slice images on the surface and inside of the membrane for imaging and then transmits the images to the data analysis mechanism for processing and analysis; the displacement device module is connected with the sample cell device module to adjust the position of the sample cell device module.
2. The in-situ online monitoring system for large-scale visual membrane pollution suitable for membrane filtration according to claim 1, wherein the membrane filtration mechanism comprises a first water tank and a second water tank which are connected through a pipeline, the sample cell device module is connected in the pipeline between the first water tank and the second water tank, a power mechanism for conveying sewage in the first water tank to the sample cell device module is arranged in front of or behind the sample cell device module, and water filtered by the sample cell device module flows to the second water tank.
3. The in-situ online monitoring system for large-scale visualized membrane fouling suitable for membrane filtration according to claim 1, wherein the light sheet excitation module comprises a laser, a scanner and an optical mechanism for adjusting light sheet morphology to adapt to imaging.
4. The large-scale visual membrane pollution in-situ online monitoring system suitable for membrane filtration according to claim 1, wherein the sample cell device module comprises the sample cell, a filtration membrane rack for placing a filtration membrane is arranged in the sample cell, and a light-transmitting window for detecting the operation of the module is arranged on the sample cell facing the filtration membrane rack; the sample cell is the enclosed construction, sealed and filtration membrane rack is with space division for straining the preceding space of sample cell and strain the back space between filtration membrane rack and the sample cell inner wall, and the sample cell in the space before straining and the sample cell in the space after straining are respectively through the tube coupling in membrane filter mechanism.
5. The large-scale visual membrane pollution in-situ on-line monitoring system suitable for membrane filtration according to claim 4, wherein the filtration membrane placing rack is arranged obliquely; the detection direction of the detection module for detecting the filtering membrane is perpendicular to the irradiation direction of the laser polished section in the polished section excitation module for the filtering membrane.
6. The in-situ online monitoring system for large-scale visualization membrane fouling applicable to membrane filtration, as claimed in claim 1, wherein the detection module comprises a microscope for microscopic detection of different sample planes respectively, which are fluorescence displayed by laser light sheet excitation, an imaging mechanism for imaging the microscopic detected sample planes one by one, and a shifter for adjusting the position of the microscope.
7. The in-situ online monitoring system for large-scale visual membrane fouling applicable to membrane filtration according to claim 6, wherein the displacer is a piezoelectric ceramic displacer.
8. The in-situ online large-scale visual membrane fouling monitoring system suitable for membrane filtration according to claim 1, wherein the displacement device module is a three-axis platform for fixing the sample cell module.
9. The in-situ online monitoring system for large-scale visualization membrane fouling applicable to membrane filtration, as claimed in claim 1, wherein the data analysis mechanism comprises a three-dimensional image processing module for processing optical slice image data collected by the optical imaging mechanism, and a quantitative analysis module for calculating total fluorescence amount of pollutants or analyzing deep fluorescence distribution of the optical slice image data.
10. The in-situ online monitoring system for large-scale visual membrane fouling applicable to membrane filtration according to claim 1, wherein the flow control mechanism comprises a membrane filtration mechanism control unit, a detection module control unit, a sample cell device module control unit, a displacement device control unit, a light sheet excitation module control unit, and a main controller for receiving signals of the control units and sending control instructions.
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