Method for detecting agglomeration of a population of filamentous particles in a fluidized bed and experimental system

Abstract

The application discloses a detection and processing method for the agglomeration of a filamentous particle group in a fluidized bed, which adopts a pixel area method to accurately perform three-dimensional identification on the agglomeration, and is used for capturing the three-dimensional overlapping part of the flexible filamentous particles in a dense phase area in the process of a fluidized bed tobacco filament experiment. The experimental device adopts three drainage plates with an arc of 75-80 degrees, 60-65 degrees and 50-55 degrees respectively to make the particles uniform, and the image identification method mainly comprises the following steps: step one, synchronously shooting the cold-state experiment of the fluidized bed tobacco filament; step two, loading the image information into a PC end; step three, deleting the background; step four, performing gray scale processing; step five, obtaining a binary threshold value; step six, once inverting the color; step seven, searching for a connected domain, calculating the area and dyeing; step eight, deleting a small area; and step nine, obtaining a target agglomeration image and area. The system and method can analyze the formation, area size and whole process of the change of the agglomeration of the tobacco filament in the riser area in the experiment.

Description

Technical Field

[0001] This invention relates to the field of tobacco drying technology, and in particular to a method and experimental system for detecting and processing the agglomeration of fibrous particles in a fluidized bed. Background Technology

[0002] Fluidized bed dryers are widely used in many industrial processing processes, such as pharmaceuticals, agriculture, chemicals, and food engineering, due to their high gas-solid contact efficiency and ease of collection. Their working principle involves placing flowable materials, such as powders, pastes, suspensions, and solutions, on an airflow distribution plate like a perforated plate, and then feeding a drying medium with a considerable velocity into the bottom. When the medium velocity is low, the gas flows through the gaps between the material particles, and the entire material layer remains stationary. As the airflow velocity is gradually increased, the material layer begins to expand, and the gaps between particles increase. Further increasing the airflow velocity causes a significant portion of the material to remain suspended, forming a gas-solid mixed bed, i.e., a fluidized bed. Because the suspended material in a fluidized bed resembles a boiling liquid, it is also called a boiling bed. Furthermore, it exhibits fluid properties in many ways, with a distinct upper interface that remains horizontal. If the airflow velocity is further increased, almost all the particles are carried away by the airflow, transforming the process into gas transport.

[0003] The types of particulate materials used are diverse, with large particle sizes and varying physical properties and shapes. For example, fluidized bed dryers are used to dry shredded forage, tobacco, and seaweed into small strips. These special particles are long, flexible filaments, often referred to as flexible filamentous particles. Flexible filamentous particles are widely used in industrial fluidized bed drying processes. The non-uniformity of the special particle flow will greatly affect the hydrodynamic properties and drying performance of the equipment. Due to their flexibility, filamentous shape, and non-uniform moisture content, these types of particles are prone to sticking together and are difficult to separate. They can then easily correlate to form higher-order structures with slow quantitative changes (such as particle number growth), eventually forming so-called agglomerates. Once agglomerates are formed, they are unlikely to disappear easily, and the formation and morphological changes of agglomerates are closely related to their motion state. This will greatly affect the hydrodynamic characteristics and drying performance of the equipment. For example, in the fluidized bed drying process of tobacco, the presence of agglomerates will cause wet clumps in the tobacco product, seriously affecting the consistency of product quality. While there is considerable current research on particle aggregation, aiming to investigate the causes of aggregation and its specific impact on filamentous particles in fluidized bed experiments, and to find corresponding measures to minimize aggregation formation, a publicly available method for capturing the three-dimensional structure of particle aggregations is lacking. This deficiency in processing experimental images presents challenges for data processing during experimental research. Summary of the Invention

[0004] Objective of the Invention: To address the aforementioned problems, the objective of this invention is to provide a method for detecting and processing the aggregation of fibrous particles in a fluidized bed, filling the gap in existing image processing technologies for identifying aggregated fibrous particles. A detection and processing system for this method is also provided.

[0005] Technical solution: A method for detecting and processing the aggregation of fibrous particles in a fluidized bed, comprising the following steps:

[0006] Step 1: Conduct a cold-state experiment of fluidized bed tobacco on the experimental system. Filamentous particles are evenly blown into the riser tube through the guide plate. High-speed camera 1 and high-speed camera 2 are used to photograph the YZ and XZ coordinate planes of the riser tube respectively to record the flow state of the tobacco. At the same time, supplementary lighting is provided to the YZ and XZ coordinate planes.

[0007] Step 2: Load the image signals acquired by high-speed camera 1 and high-speed camera 2 into the PC. The PC system filters the image of the YZ coordinate plane captured by high-speed camera 1 and the image of the XZ coordinate plane captured by high-speed camera 2 at the same signal moment from a large image database by using the signal identification code of each frame, and combines them to simulate a three-dimensional image for operation.

[0008] Step 3: Subtract the background image from the simulated 3D image using morphological and subtraction operations;

[0009] Step 4: Perform grayscale processing on the image after removing the background;

[0010] Step 5: Obtain the binarization threshold using an algorithm that automatically acquires the threshold, and then binarize the image after grayscale processing;

[0011] Step 6: Invert the colors of the binary image once;

[0012] Step 7: Find connected components, calculate areas, and color them. Use the pixel area method to calculate the area of ​​particles and clusters in the image based on the pixel values ​​of particles and clusters at different thresholds. Then, color them to distinguish between particles and clusters. Specifically, pixel values ​​of 0-1500 are colored as color one and marked as small particles; pixel values ​​of 1500-3000 are colored as color two and marked as large particles; and pixel values ​​greater than 3000 are colored as color three and marked as target clusters.

[0013] Step 8: Delete the portion of the particle image within the YZ or XZ coordinate plane that is smaller than the set threshold pixel area after staining, i.e., delete the single particle portion;

[0014] Step 9: Perform a second color inversion on the image after deleting the area smaller than the threshold to finally obtain the image of the filamentous particle clusters and the cluster area data, and end the operation.

[0015] Furthermore, both high-speed cameras 1 and 2 underwent parameter initialization before shooting, and their initial signals were synchronized. The shooting areas of both high-speed cameras 1 and 2 were the dense phase region of the experimental system.

[0016] Furthermore, in step eight, the threshold area is set to 3000–3500 pixels. When the particle area S in both the YZ and XZ coordinate planes is greater than the set threshold, the coordinate plane with the larger recognition area is selected for calculation. Optimally, the tobacco shreds used in the experiment are 7.6mm × 0.9mm to 15mm × 0.9mm in size.

[0017] Furthermore, in step four, the grayscale value of the pixels in the image is set to 0 or 255.

[0018] An experimental system for detecting and processing the aggregation of fibrous particles in a fluidized bed using the above-mentioned method includes a fluidized bed, a surface light source 1, a surface light source 2, a supplementary light 1, a supplementary light 2, a high-speed camera 1, a high-speed camera 2, a hub, and a PC terminal. Surface light source 1 and surface light source 2 are respectively installed on the XZ and YZ coordinate planes of the riser of the fluidized bed. The XZ coordinate plane of high-speed camera 1 is set on one side of the fluidized bed riser, and supplementary light 1 is set on one side of the riser. The YZ coordinate plane of high-speed camera 2 is set on one side of the fluidized bed riser, and supplementary light 2 is set on one side of the riser. High-speed camera 1 and high-speed camera 2 are respectively connected to the PC terminal via the hub.

[0019] Furthermore, the lower end of the lift tube is connected to a drainage tube, which contains three arc-shaped, obliquely spaced plates—a low plate, a middle plate, and a high plate—arranged from bottom to top. The distance between the low plate and the bottom wall of the drainage tube is 5cm–7cm, the distance between the middle plate and the low plate is 12cm–14cm, and the distance between the high plate and the middle plate is 7cm–9cm. Optimally, the curvatures of the low plate, middle plate, and high plate are 75°–80°, 60°–65°, and 50°–55°, respectively.

[0020] Ideally, the opposite sides of the low-position plate, middle-position plate, and high-position plate should be tenoned to the two inner walls of the drainage pipe, with a tenon gap of 0.5 to 1.5 mm.

[0021] Furthermore, the fluidized bed also includes a blower, a storage silo, a pull-out plate, a nut, a discharger, a discharge silo, a cyclone separator, a carrying container, a return pipe, a regulating valve one, and a regulating valve two. The other end of the inlet pipe is connected to the blower through a ventilation pipe. The upper end of the lift pipe is connected to the cyclone separator through a bend. The bottom of the cyclone separator is connected to the carrying container. The top of the cyclone separator is connected to the side wall of the ventilation pipe through the return pipe. Regulating valve one and regulating valve two are installed at intervals on the return pipe. The storage silo is located above the discharge silo, and the two are connected by a nut, with a pull-out plate at the connection. The discharger is installed in the upper part of the discharge silo, and the bottom of the discharge silo is connected to the upper side wall of the inlet pipe.

[0022] Beneficial effects: Compared with the prior art, the advantages of the present invention are:

[0023] This method utilizes detachable guide plates to uniformly blow fibrous particles into the riser tube. The curvature of the three guide plates and the distance between them significantly improve particle uniformity. Regarding image acquisition and processing: Using surface light source one, surface light source two, and supplementary light one and two at the riser tube cross-section optimizes the shadow areas. High-speed cameras one and two capture images of the tobacco fluidized bed experiment on the YZ and XZ coordinate planes, respectively. The image signals from both cameras are loaded into the PC via a hub. The system intelligently selects the images of the YZ and XZ coordinate planes captured by high-speed camera one and high-speed camera two at the same signal moment from a large image database, and combines them to simulate a three-dimensional image of the dense phase region at that moment. Further processing is then performed on the three-dimensional image, including background subtraction, grayscale processing, automatic thresholding algorithm binarization, primary color inversion, connected component search, deletion of areas smaller than the threshold, and secondary color inversion. This method processes the images captured during the experiment, ultimately capturing the entire process of fibrous particles forming agglomerates in the fluidized bed riser region, along with the target agglomerate area data. This process takes only a few minutes, significantly shortening the data processing cycle and offering great convenience. Furthermore, the device utilizes a tenon-and-mortise type guide plate to improve particle uniformity, making subsequent replacement or disassembly more flexible. The agglomeration measurement principle employs the pixel area method, which, compared to the grid method, can more accurately measure the agglomerate size. Moreover, this invention is not only applicable to tobacco drying but also suitable for studying the flow characteristics of most fibrous particles in fluidized beds. It provides a highly effective method for capturing agglomerates during fluidized bed drying and other flow processes, thus contributing to experiments involving fibrous particles such as tobacco in fluidized beds. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the experimental system of the present invention;

[0025] Figure 2 This is a schematic diagram of the drainage plate structure;

[0026] Figure 3 This is a flowchart of the method of the present invention;

[0027] Figure 4 This is a schematic diagram of an embodiment. Detailed Implementation

[0028] The present invention will be further illustrated below with reference to the accompanying drawings and specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention.

[0029] A method for detecting and processing the aggregation of fibrous particles in a fluidized bed, such as... Figure 3 As shown, it includes the following steps:

[0030] Step 1: Conduct a cold-state experiment with fluidized bed tobacco on the experimental system. The filamentous particles are uniformly blown into the riser tube through a guide plate. The flow state of the tobacco in the riser tube area is captured by high-speed cameras 11 and 12 on the YZ and XZ coordinate planes, respectively. Before filming, the parameters of high-speed cameras 11 and 12 need to be initialized and signals collected simultaneously on the system to ensure synchronization. Area light source 8, area light source 7, and supplementary lights 10 and 13 are used to illuminate the riser tube area.

[0031] Step 2: The image signal is loaded into the PC terminal 15 through the hub 14. The system intelligently selects the image of the YZ coordinate plane captured by the high-speed camera 11 and the image of the XZ coordinate plane captured by the high-speed camera 2 12 at the same signal moment from a large image database, and combines them to simulate a three-dimensional image of the dense phase region for operation.

[0032] Step 3: Subtract the background image from the simulated 3D image using morphological and subtraction operations;

[0033] Step 4: Perform grayscale processing on the image after removing the background to improve processing speed;

[0034] Step 5: Obtain the binarization threshold using an algorithm that automatically acquires the threshold: Binarize the image, which can convert a grayscale image into a binary image.

[0035] Step 6: Invert the colors of the binary image once: Inverting the colors once can indirectly calculate the area of ​​the fiber particle clusters;

[0036] Step 7: Identify Connected Components, Calculate Areas, and Color Them: Based on the pixel count and area of ​​connected components, classify the dense phase region of the filamentous particles into three categories: small particles, large particles, and target clusters. Then, use three different colors to distinguish them. The coloring logic is as follows: 0–1500 pixel values ​​are colored as color one (e.g., red), marking small particles; 1500–3000 pixel values ​​are colored as color two (e.g., yellow), marking large particles; and values ​​greater than 3000 pixel values ​​are colored as color three (e.g., blue), marking target clusters.

[0037] Step 8: Delete the area smaller than the threshold: Delete the area smaller than the set threshold of 3000-3500 pixels in the particle image of the YZ or XZ coordinate plane after staining, that is, delete the single particle part (when the particle area S in both coordinate planes is greater than or equal to 3000-3500 pixels, select the side with the largest recognition area for calculation).

[0038] Step Nine: Secondary Inversion of Colors: For the image after deleting small areas ( Figure 4 (d) That is, the remaining image of the agglomerated part is subjected to a second color inversion, and the final image of the filamentous particle agglomeration is shown in the figure. Figure 4 As shown in (e), the operation ends.

[0039] The image change process throughout the entire process is as follows: Figure 4 As shown in (a) to (e).

[0040] The experimental system using the above-described method for detecting and processing the aggregation of fibrous particles in a fluidized bed, such as... Figure 1 , 2 As shown, the system includes a fluidized bed, surface light source 8, surface light source 7, supplementary light 10, supplementary light 13, high-speed camera 11, high-speed camera 12, hub 14, and PC terminal 15. Surface light source 8 and surface light source 7 are respectively installed on the XZ and YZ coordinate planes of the fluidized bed's riser. High-speed camera 11 is positioned on one side of the fluidized bed riser, facing its XZ coordinate plane, and supplementary light 10 is installed on its side. High-speed camera 12 is positioned on one side of the fluidized bed riser, facing its YZ coordinate plane, and supplementary light 13 is installed on its side. High-speed cameras 11 and 12 are respectively connected to the PC terminal 15 via hub 14.

[0041] The lower end of the riser tube is connected to the drainage tube 9. The drainage tube 9 contains three arc-shaped, obliquely spaced plates arranged from bottom to top: a low plate 91, a middle plate 92, and a high plate 93. All three are drainage plates. The distance between the low plate 91 and the inner bottom wall of the drainage tube 9 is 5cm to 7cm, the distance between the middle plate 92 and the low plate 91 is 12cm to 14cm, and the distance between the high plate 93 and the middle plate 92 is 7cm to 9cm. The arcs of the low plate 91, middle plate 92, and high plate 93 are 75° to 80°, 60° to 65°, and 50° to 55°, respectively.

[0042] The fluidized bed also includes a blower 1, a storage bin 2, a pull-out plate 3, a nut 4, a discharger 5, a discharge bin 6, a cyclone separator 16, a carrying container 17, a return pipe 18, a regulating valve 19, and a regulating valve 20. The other end of the inlet pipe 9 is connected to the blower 1 through a ventilation pipe. The upper end of the lifting pipe is connected to the cyclone separator 16 through a bend. The bottom of the cyclone separator 16 is connected to the carrying container 17. The top of the cyclone separator 16 is connected to the side wall of the ventilation pipe through the return pipe 18. Regulating valves 19 and 20 are installed at intervals on the return pipe 18. The storage bin 2 is located above the discharge bin 6. The two are connected by a nut 4, and a pull-out plate 3 is provided at the connection. The discharger 5 is installed in the upper part of the discharge bin 6. The bottom of the discharge bin 6 is connected to the upper side wall of the inlet pipe 9.

[0043] Nut 4 is used to connect the storage hopper discharge port and the fluidized bed feed port, and facilitates the disassembly of the unloader and the storage hopper. Three guide plates with different curvatures are used to evenly blow particles into the riser pipe, which can enhance the uniformity of particles blowing into the riser pipe after passing through the guide plates. The connection between the guide plates and the wall is tenon joint, with a gap of 0.5 to 1.5 mm. The tenon joint method can facilitate later replacement or disassembly.

[0044] Before conducting the experiment, the following preparations should be made: Place supplementary lighting 10 and 13 directly behind high-speed cameras 11 and 12 respectively to illuminate the YZ and XZ coordinate planes of the lift tube. To mitigate the impact of shadows on image processing, further supplementary lighting should be provided on the YZ and XZ coordinate planes using light source 8 and area light source 7 respectively. Before filming, initialize the parameters of both high-speed cameras on the system and simultaneously collect signals to ensure signal synchronization.

[0045] The tobacco shreds are loaded into storage silo 2, and the blower 1 is started. The wind speed is controlled to 5.3 m / s by adjusting the frequency. This wind speed is the critical value that can completely blow the tobacco shreds into the riser pipe. The material flow rate is controlled by adjusting the motor of the unloader 5 in the experimental system, and the material is discharged by the pull plate 3 for the experiment. The fibrous particles are evenly blown into the riser pipe through the guide plate. The entire process of particle agglomeration in the YZ and XZ coordinate planes of the riser pipe is captured by high-speed cameras 1 and 2, respectively, to analyze the distribution of fibrous particle agglomerations. After entering the cyclone separator 16, the tobacco shreds fall into the carrying container 7 for collection. The outlet pressure of the return pipe 18 can be adjusted by regulating valve 19 and regulating valve 20, respectively. During the fluidized bed experiment, tobacco agglomeration generally occurs in the dense phase region. Therefore, selecting images of the dense phase region for calculation is beneficial for capturing tobacco agglomerations. The image signals acquired by the two camera groups are transmitted to the PC 15 through the hub 14. The system intelligently selects the image of the YZ coordinate plane captured by the high-speed camera one and the image of the XZ coordinate plane captured by the high-speed camera two at the same signal moment from a large image database, and combines them to simulate a three-dimensional image of the dense phase region for image processing.

[0046] Specifically, the subtraction of the background image involves using morphological and subtraction operations on the loaded image to separate the flexible filamentous particle clusters from the background. Morphological operations are image processing methods developed for binary images based on set theory methods of mathematical morphology. Morphological image processing typically manifests as a neighborhood operation, where a specially defined neighborhood is called a "structuring element." At each pixel location, this element performs specific logical operations with the corresponding region in the binary image, and the result of these logical operations is the corresponding pixel in the output image. The effectiveness of morphological operations depends on the size and content of the structuring element, as well as the nature of the logical operations.

[0047] Specifically, the grayscale processing improves the processing speed of image grayscale conversion by unifying the RGB values ​​of each pixel to a single value. The grayscale image changes from three channels to a single channel, making single-channel data processing much simpler. The purpose of image grayscale conversion is to simplify matrices and improve processing speed.

[0048] Specifically, the algorithm for automatically obtaining the threshold can binarize the image, converting a grayscale image into a binary image, such as... Figure 4 As shown in (b), pixels with gray levels greater than a certain threshold are set to maximum gray levels, and pixels with gray levels less than this threshold are set to minimum gray levels, thus achieving binarization. In other words, the gray levels of pixels in the image are set to 0 or 255, resulting in a visual effect where the entire image presents only black and white.

[0049] Specifically, the inverted color method can indirectly calculate the area of ​​the fibrous particle clusters. Since the fibrous particles themselves are black "0" and the background is white "1", 0 cannot be calculated, so the area of ​​the particles cannot be determined. After inverting the color, the fibrous particles are white "1" and the background is black "0", at which point the area of ​​the fibrous particles can be calculated.

[0050] Specifically, the process of finding and coloring connected components can distinguish single particles and clusters in different value ranges and color them with different colors.

[0051] Specifically, the deletion of areas smaller than the threshold area removes portions smaller than 3000-3500 pixels. When the size of the tobacco used in the experiment is 7.6mm×0.9mm to 15mm×0.9mm, in the dense phase region of tobacco particle movement, filamentous particles will deform and entangle into clusters. Therefore, the size of tobacco clusters is generally large. To distinguish between single particles and target clusters, it is stipulated that when the particle area S in the YZ or XZ coordinate plane is ≥ 3000-3500 pixels (when the particle area S in both coordinate planes is greater than or equal to 3000-3500 pixels, the plane with the largest recognition area is selected for calculation), this part is no longer considered a single particle, but a cluster of filamentous particles. Thus, all target clusters larger than 3000-3500 pixels are left in the image. Finally, the image of the filamentous particle clusters is obtained by secondary color inversion, as shown below. Figure 4 As shown in (e). This experimental result meets the researchers' experimental requirements, namely, measuring the agglomeration and area data of filamentous particles in the fluidized bed riser during the experiment.

Claims

1. A method for detecting and processing the aggregation of fibrous particles in a fluidized bed, characterized in that... Includes the following steps: Step 1: Conduct a cold-state experiment of fluidized bed tobacco on the experimental system. The filamentous particles are evenly blown into the riser tube through the guide plate. The flow state of the tobacco in the riser tube area is captured by high-speed camera 1 (11) and high-speed camera 2 (12) on the YZ coordinate plane and XZ coordinate plane respectively. Before shooting, the parameters of high-speed camera 1 (11) and high-speed camera 2 (12) need to be initialized on the system and the signals need to be collected at the same time to ensure the synchronization of signal collection. The riser tube part is illuminated by surface light source lamp 1 (8), surface light source lamp 2 (7), and supplementary light lamp 1 (10) and supplementary light lamp 2 (13). Step 2: The image signal is loaded into the PC (15) through the hub (14). The system intelligently selects the image of the YZ coordinate plane captured by high-speed camera 1 (11) and the image of the XZ coordinate plane captured by high-speed camera 2 (12) at the same signal time from the image database, and combines them to simulate a three-dimensional image of the dense phase region for operation. Step 3: Subtract the background image from the simulated 3D image using morphological and subtraction operations; Step 4: Perform grayscale processing on the image after removing the background; Step 5: Obtain the binarization threshold using an algorithm that automatically acquires the threshold, and then binarize the image after grayscale processing; Step 6: Invert the colors of the binary image once; Step 7: Find connected components, calculate areas, and color them. Use the pixel area method to calculate the area of ​​particles and clusters in the image based on the pixel values ​​of particles and clusters at different thresholds. Then, color them to distinguish between particles and clusters. Specifically, pixel values ​​of 0-1500 are colored as color one and marked as small particles; pixel values ​​of 1500-3000 are colored as color two and marked as large particles; and pixel values ​​greater than 3000 are colored as color three and marked as target clusters. Step 8: Delete the portion of the particle image within the YZ or XZ coordinate plane that is smaller than the set threshold pixel area after staining, i.e., delete the single particle portion; Step 9: Perform a second color inversion on the image after deleting the area smaller than the threshold to finally obtain the image of the filamentous particle clusters and the cluster area data, and end the operation.

2. The method for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 1, characterized in that: Both high-speed cameras 1 and 2 underwent parameter initialization before shooting, and their initial signals were synchronized. The shooting areas of high-speed cameras 1 and 2 were the dense phase region of the experimental system.

3. The method for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 1, characterized in that: In step eight, the threshold area is set to 3000-3500 pixels. When the particle area S in both the YZ and XZ coordinate planes is greater than the set threshold, the coordinate plane with the larger recognition area is selected for calculation.

4. The method for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 1, characterized in that: The tobacco shreds used in the experiment ranged in size from 7.6mm×0.9mm to 15mm×0.9mm.

5. The method for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 1, characterized in that: In step four, the grayscale value of the pixels in the image is set to 0 or 255.

6. An experimental system for detecting and processing the aggregation of fibrous particles in a fluidized bed according to any one of claims 1 to 5, comprising a fluidized bed, characterized in that: It also includes surface light source one (8), surface light source two (7), fill light one (10), fill light two (13), high-speed camera one (11), high-speed camera two (12), hub (14), and PC terminal (15). Surface light source one (8) and surface light source two (7) are installed on the XZ coordinate plane and YZ coordinate plane of the fluidized bed riser, respectively. The XZ coordinate plane of high-speed camera one (11) facing the fluidized riser is set on one side of the fluidized riser, and fill light one (10) is set on one side of it. The YZ coordinate plane of high-speed camera two (12) facing the fluidized riser is set on one side of the fluidized riser, and fill light two (13) is set on one side of it. High-speed camera one (11) and high-speed camera two (12) are connected to PC terminal (15) through hub (14) and signal respectively.

7. The experimental system for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 6, characterized in that: The lower end of the lifting tube is connected to the drainage tube (9). The drainage tube (9) includes three arc-shaped plates, a low plate (91), a middle plate (92), and a high plate (93), which are placed at intervals from bottom to top. The distance between the low plate (91) and the bottom wall of the drainage tube (9) is 5cm to 7cm, the distance between the middle plate (92) and the low plate (91) is 12cm to 14cm, and the distance between the high plate (93) and the middle plate (92) is 7cm to 9cm.

8. The experimental system for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 7, characterized in that: The arcs of the low plate (91), the middle plate (92), and the high plate (93) are 75°~80°, 60°~65°, and 50°~55°, respectively.

9. The experimental system for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 7, characterized in that: The opposite sides of the low plate (91), the middle plate (92), and the high plate (93) are tenoned to the two inner walls of the drainage pipe (9), with a tenon gap of 0.5 to 1.5 mm.

10. The experimental system for detecting and processing the aggregation of fibrous particles in a fluidized bed according to claim 7, characterized in that: The fluidized bed also includes a blower (1), a storage bin (2), a pull-out plate (3), a nut (4), a discharger (5), a discharge bin (6), a cyclone separator (16), a carrying container (17), a return pipe (18), a regulating valve one (19), and a regulating valve two (20). The other end of the diversion pipe (9) is connected to the blower (1) through a ventilation pipe. The upper end of the lifting pipe is connected to the cyclone separator (16) through a bend. The bottom of the cyclone separator (16) is connected to the carrying container. The device (17) is connected, and the top of the cyclone separator (16) is connected to the side wall of the ventilation pipe through the return pipe (18). The return pipe (18) is equipped with regulating valve one (19) and regulating valve two (20) at intervals. The storage bin (2) is set above the unloading bin (6). The two are connected by nuts (4), and a pull plate (3) is provided at the connection. The unloader (5) is installed in the upper part of the unloading bin (6). The bottom of the unloading bin (6) is connected to the upper side wall of the diversion pipe (9).

Images