CN112108263A - Fluid suspended matter classification system and method based on vortex filter and 3D U-Net network - Google Patents
Fluid suspended matter classification system and method based on vortex filter and 3D U-Net network Download PDFInfo
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Abstract
The invention provides a fluid suspended matter classification system and method based on a vortex filter and a 3D U-Net network, comprising the following steps: the device comprises a collecting module, a filtering module, an analyzing module and a screening module; the collecting module comprises a screen filter, a trawl and a collecting box which are arranged in sequence, and collecting holes are formed in the screen filter; the filtering module is a vortex filter connected with the collecting box through a water pump I and is respectively connected with the analysis module and the screening module; the analysis module comprises a semitransparent guide pipe, an image acquisition device and an image analysis device, the semitransparent guide pipe is connected with an overflow port of the vortex filter through a water pump II, the image acquisition device acquires image information of particles in the semitransparent guide pipe and then sends the image information to the image analysis device, and the image analysis device analyzes and calculates the image information by adopting a trained 3D U-Net network and outputs attribute information of an image; the screening module comprises a number of sorting containers.
Description
Technical Field
The invention relates to a fluid suspension classification system and a method thereof, in particular to a fluid suspension classification system and a method thereof based on a vortex filter and a 3D U-Net network.
Background
The collection and classification of suspended matter in an open system is generally performed in two stages, first, a collection stage in which the target objects are collected from the open system by a manual sampling technique, classified, and then transported to a laboratory dedicated to such work for assay analysis, which must extensively pre-process and filter each object to obtain the target object, and then analyze each target object.
Current solutions are prone to errors and are very limited in efficiency, coverage and analysis. Determining accurate coordinates for thousands of individual objects, for example, in an area, can be very difficult if not impossible to do manually.
Disclosure of Invention
In order to solve the defects and shortcomings in the prior art, the invention provides a fluid suspension classification system and method based on a vortex filter and a 3D U-Net network.
In order to solve the technical problem, the invention provides a fluid suspension classification system based on a vortex filter and a 3D U-Net network, which comprises: the device comprises a collecting module, a filtering module, an analyzing module and a screening module; the collecting module comprises a screen filter, a trawl and a collecting box which are arranged in sequence, and collecting holes are formed in the screen filter; the filtering module is a vortex filter connected with the collecting box through a water pump I and is respectively connected with the analysis module and the screening module, one part of suspended particles passing through the vortex filter overflows into the analysis module, and the other part sinks from the discharge port to the screening module; the analysis module comprises a semitransparent guide pipe, an image acquisition device and an image analysis device, the semitransparent guide pipe is connected with an overflow port of the vortex filter through a water pump II, the image acquisition device acquires image information of particles in the semitransparent guide pipe and then sends the image information to the image analysis device, and the image analysis device analyzes and calculates the image information by adopting a trained 3D U-Net network and outputs attribute information of an image; the screening module comprises a number of sorting containers.
Further, stabilizing wings are arranged on two sides of the screen filter and used for keeping the device balanced in the fluid.
Further, the image acquisition device is a holographic microscope.
The invention also provides a classification method of the fluid suspended matter classification system based on the vortex filter and the 3D U-Net network, which comprises the following steps:
step one, initial screening: when the open fluid system passes through the mesh filter, suspended particles smaller than the threshold value of the collecting hole pass through the mesh filter, then are further screened through the trawl, and the particles smaller than the meshes of the trawl enter the collecting box;
step two, filtering and screening: the suspended particles from the first step enter the vortex filter from the feeding port, and the target particles meeting the set parameter requirements sink and then enter a sorting container of the screening module from the discharging port; the suspended particles which do not meet the requirements overflow and enter the analysis module through the water pump II;
step three, deep screening: the suspended particles enter the image acquisition device through the semitransparent conduit, and the image acquisition device outputs a 3D image after acquiring video or image information of the suspended particles and sends the image information to the image analysis device through the data port; the image analysis device analyzes and calculates the 3D image in the trained 3D U-Net network model to obtain the attributes of different suspended particles;
and step four, distributing the suspended particles with different attributes in the step three into corresponding sorting containers in a position association and attribute matching mode.
In the third step, the 3D U-Net network model takes 3D image data from the image acquisition device as input, and segments the 3D image through 3D convolution, 3D maximum pooling and 3D upward convolution to finally obtain suspended particle classification with different attributes.
Further, the attribute is texture, size, color, or shape of the suspended particle.
Further, the image acquisition device is a holographic microscope.
The invention achieves the following beneficial technical effects: the invention provides a fluid suspended matter classification system based on a vortex filter and a 3D U-Net network.A collection module collects low-density target objects in a centralized manner, performs initial screening, tracks collected data and automatically sends the collected objects to a filtering module from a pipeline. In the filtering module, the collected object passes through a calibrated vortex filter, a preset target object to be filtered is filtered and screened, an image collecting device for the suspended particulate matters which do not meet the requirement of set parameters is used for collecting images, the collected 3D images are calculated and analyzed through a 3D U-Net network model, and the suspended particulate matters with different attributes are classified. The invention also provides a classification method based on the classification system, which is used for accurately classifying target objects in the open system after the target objects are efficiently, error-free and detailed analyzed.
Drawings
FIG. 1 is a block diagram of a fluid suspension classification system based on a vortex filter and 3D U-Net network according to the present invention;
FIG. 2 is a schematic structural diagram of a collection module of the present invention, wherein A is a front view and B is a right side view;
FIG. 3 is a schematic flow diagram of the vortex filter of the present invention for filtering and screening;
FIG. 4 is a schematic view of the construction of the vortex filter of the present invention;
FIG. 5 is a schematic diagram of an analysis module according to the present invention;
FIG. 6 is a block diagram of the screening module of the present invention;
FIG. 7 is a flow chart illustrating a method for analyzing and calculating the suspended particle properties by the image analyzing apparatus of the present invention.
Wherein, 1-a screen filter; 2-a collection well; 3-a stabilizer wing; 4-a water flow meter; 5-trawling; 6-a collection box; 7-a vortex filter; 8-a feed inlet; 9-overflow port; 10-a discharge hole; 11-a translucent conduit; 12-an image acquisition device; 13 a sensor; 14 sample space.
Detailed Description
The invention is further described with reference to specific examples. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention is further described with reference to the following figures and examples.
As shown in fig. 1, the present invention provides a fluid suspension sorting system based on a vortex filter and a 3D U-Net network, comprising: the device comprises a collecting module, a filtering module, an analyzing module and a screening module;
the collecting module comprises a screen filter 1, a trawl 5 and a collecting box 6 which are arranged in sequence, and collecting holes 2 are formed in the screen filter 1; the mesh size on the trawl can be set according to actual needs, and only suspended particles smaller than the set mesh size are allowed to pass through, so that the initial filtration is completed; the suspended matter passing through the trawl enters the collecting box and is accumulated in the collecting box, when the suspended matter reaches a threshold value set by the collecting box, the water pump I is started, and the suspended matter in the collecting box is transmitted to the filtering module through the water pump I;
as shown in FIG. 2, the invention also provides a mechanism schematic diagram of the collecting module, the panel of the screen filter is provided with collecting holes, and stabilizing wings 3 are arranged on two sides of the panel for keeping the device balanced in the fluid; the inlet of the trawl is connected with the outlet of the screen filter, and the outlet is connected with the collecting box.
The filtering module is a vortex filter 7 connected with the collecting box through a water pump I, the vortex filter is respectively connected with the analysis module and the screening module, one part of suspended particles passing through the vortex filter overflows into the analysis module, and the other part sinks from a discharge port 10 to the screening module; water pump I is carried suspended solid particle to vortex filter 7 through feed inlet 8, and vortex filter can be one or a plurality of, mainly separates the filtration through suspended solid particle's density. Wherein, compared with the density of the fluid, light substances with small density overflow from the overflow port 9 on the top, are resuspended in the fluid and are conveyed into the translucent conduit by the water pump II; heavy substances with high density sink to the screening module from the discharge hole, and the structural schematic diagram of the vortex filter is shown in FIG. 4;
the analysis module comprises a semitransparent guide pipe 11, an image acquisition device 12 and an image analysis device, wherein the semitransparent guide pipe 11 is connected with an overflow port 9 of the vortex filter through a water pump II, the image acquisition device 12 acquires image information of particles in the semitransparent guide pipe 11 and then sends the image information to the image analysis device, a sensor 13 of the image acquisition device can be optical, sonar or the like, can acquire video or image information with sufficient resolution, can output 3D image information in any form, and can capture video or image information of suspended particles, such as a holographic microscope; a translucent conduit is used to facilitate scanning of the aerosol particles for information as they pass through the sample space 14; the scanned 3D image information is sent to an image analysis device through a data port on the image acquisition device, the image analysis device adopts a trained 3D U-Net network to analyze and calculate the image information, and attribute information of the 3D image is output; according to different properties, the corresponding suspended particles are conveyed into different sorting containers.
As shown in fig. 6, the sieving module includes a plurality of sorting containers, and suspended particles analyzed and calculated by the image analyzing device and discharged from the outlet of the vortex filter are transferred to different sorting containers through respective separate passages, and then stored in a storage container, etc.
The invention also provides a classification method of the fluid suspended matter classification system based on the vortex filter and the 3D U-Net network, which comprises the following steps:
step one, initial screening: when the open fluid system passes through the mesh filter, suspended particles smaller than the threshold value of the collecting hole pass through the mesh filter, then are further screened through the trawl, and the particles smaller than the meshes of the trawl enter the collecting box;
step two, filtering and screening: the suspended particles from the first step enter the vortex filter from the feeding port, and the target particles meeting the set parameter requirements sink and then enter a sorting container of the screening module from the discharging port; the suspended particles which do not meet the requirements overflow and enter the analysis module through the water pump II; specifically, the water pump I conveys suspended particles to a vortex filter through a feed inlet, and the vortex filter can be one or more, and is mainly used for separating and filtering the suspended particles according to the density of the suspended particles. Wherein, compared with the density of the fluid, the light substances with low density overflow from the top, are resuspended in the fluid and are conveyed into the translucent conduit by the water pump II; heavy substances with high density sink to the screening module from the discharge hole; as shown in fig. 3;
step three, deep screening: the suspended particles enter the image acquisition device through the semitransparent conduit, and the image acquisition device outputs a 3D image after acquiring video or image information of the suspended particles and sends the image information to the image analysis device through the data port; the image analysis device analyzes and calculates the 3D image in the trained 3D U-Net network model to obtain the attributes of different suspended particles; wherein, the image acquisition device can be a holographic microscope; the specific processing procedure is shown in fig. 7: (1) the 3D U-Net network model takes 3D image data from the image acquisition device as input and segments the 3D image by 3D convolution, 3D max pooling and 3D up-convolution of the analysis path and the synthesis path, respectively, to finally obtain suspended particle classifications of different attributes such as texture, size, color or shape.
Wherein, the 3D U-Net network model has 19069955 parameter bases, wherein: in the analysis path, each layer comprises two 3 × 3 × 3 convolutions and a 2 × 2 × 2 maximum pool composition, each convolution is followed by a ReLU, and the stride of each dimension is 2; in the synthetic path, each layer consists of a 2 × 2 × 2 up-convolution consisting of two steps in each dimension, two 3 × 3 × 3 convolutions and ReLU;
and step four, distributing the suspended particles with different attributes in the step three into corresponding sorting containers in a position association and attribute matching mode.
The present invention has been disclosed in terms of the preferred embodiment, but is not intended to be limited to the embodiment, and all technical solutions obtained by substituting or converting equivalents thereof fall within the scope of the present invention.
Claims (7)
1. A fluid suspension classification system based on a vortex filter and a 3D U-Net network, comprising: the device comprises a collecting module, a filtering module, an analyzing module and a screening module; the collecting module comprises a screen filter, a trawl and a collecting box which are arranged in sequence, and collecting holes are formed in the screen filter; the filtering module is a vortex filter connected with the collecting box through a water pump I and is respectively connected with the analysis module and the screening module, one part of suspended particles passing through the vortex filter overflows into the analysis module, and the other part sinks from the discharge port to the screening module; the analysis module comprises a semitransparent guide pipe, an image acquisition device and an image analysis device, the semitransparent guide pipe is connected with an overflow port of the vortex filter through a water pump II, the image acquisition device acquires image information of particles in the semitransparent guide pipe and then sends the image information to the image analysis device, and the image analysis device analyzes and calculates the image information by adopting a trained 3D U-Net network and outputs attribute information of an image; the screening module comprises a number of sorting containers.
2. The fluid suspension classification system based on vortex filter and 3D U-Net network according to claim 1, characterized in that: the screen filter is provided with stabilizing wings at both sides for maintaining the balance of the device in the fluid.
3. The fluid suspension classification system based on vortex filter and 3D U-Net network according to claim 1, characterized in that: the image acquisition device is a holographic microscope.
4. A method of sorting a fluid suspension sorting system based on a vortex filter and 3D U-Net network according to any one of claims 1-3, comprising the steps of:
step one, initial screening: when the open fluid system passes through the mesh filter, suspended particles smaller than the threshold value of the collecting hole pass through the mesh filter, then are further screened through the trawl, and the particles smaller than the meshes of the trawl enter the collecting box;
step two, filtering and screening: the suspended particles from the first step enter the vortex filter from the feeding port, and the target particles meeting the set parameter requirements sink and then enter a sorting container of the screening module from the discharging port; the suspended particles which do not meet the requirements overflow and enter the analysis module through the water pump II;
step three, deep screening: the suspended particles enter the image acquisition device through the semitransparent conduit, and the image acquisition device outputs a 3D image after acquiring video or image information of the suspended particles and sends the image information to the image analysis device through the data port; the image analysis device analyzes and calculates the 3D image in the trained 3D U-Net network model to obtain the attributes of different suspended particles;
and step four, distributing the suspended particles with different attributes in the step three into corresponding sorting containers in a position association and attribute matching mode.
5. The method of claim 4 for sorting a fluid suspension sorting system based on a vortex filter and 3D U-Net network, wherein: in the third step, the 3D U-Net network model takes 3D image data from the image acquisition device as input, and segments the 3D image through 3D convolution, 3D maximum pooling and 3D upward convolution to finally obtain the suspended particle classification with different attributes.
6. The method of claim 4 for sorting a fluid suspension sorting system based on a vortex filter and 3D U-Net network, wherein: the attribute is the texture, size, color or shape of the suspended particle.
7. The method of claim 3 for sorting a fluid suspension sorting system based on a vortex filter and 3D U-Net network, wherein: the image acquisition device is a holographic microscope.
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| CN112749507A (en) * | 2020-12-29 | 2021-05-04 | 浙江大学 | Method for deep learning holographic online measurement of coal and biomass coupling power generation blending ratio |
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