A method for adjusting the gas flow rate in a fluidized bed for tobacco detection

Abstract

This application provides a method for adjusting the gas flow rate in a fluidized bed for tobacco detection, comprising: S1, acquiring the upper and lower limits of the gas flow rate, the center value of the gas flow rate, and the relationship curve between the tobacco dispersion state and the gas flow rate adapted to the tobacco to be tested; S2, inputting the acquired center value of the gas flow rate as the gas flow rate setpoint into the fluidized bed platform, so that the tobacco in the fluidized bed platform is fluidized; S3, monitoring the dispersion state of the tobacco, and updating the gas flow rate in real time according to the real-time dispersion state of the tobacco and the relationship curve between the tobacco dispersion state and the gas flow rate, so that the tobacco in the fluidized bed maintains a good dispersion state continuously. The adjustment process of this method does not require manual intervention, and the feedback adjustment process is efficient and fast. It can adaptively complete the adjustment process during the measurement process for different sample conditions and as the dispersion state of the same sample changes in real time during the test.

Description

Technical Field

[0001] This application relates to the field of fluidized bed technology for tobacco detection, and more specifically, to a method for adjusting the gas flow rate in a fluidized bed for tobacco detection. Background Technology

[0002] The morphological parameters of tobacco, such as length, width, and curl, directly affect the physical quality of finished cigarettes. Currently, fluidized bed technology is used to measure these morphological parameters. A typical device for detecting the morphological characteristics of tobacco particles using fluidized bed technology consists of a fluidized bed body, image acquisition equipment, image processing software, a variable frequency fan, and a control system. During the measurement process, to improve accuracy, the tobacco shreds need to be effectively dispersed within the fluidized bed. In this process, the gas flow rate within the fluidized bed has a significant impact on the dispersion effect. Currently, the gas flow rate in existing fluidized beds is generally set to a completely fixed value, or adjusted and set by the testing personnel based on experience. Because tobacco samples exhibit significant differences in quality characteristics such as length distribution, filling performance, formulation structure, blending ratio, and material moisture content, when the gas flow rate setting is too low, the sample is poorly dispersed. This often results in overlapping and entanglement of tobacco particles, causing multiple particles to be identified as a single particle during testing. This leads to significantly inflated calculations of tobacco width, length, and other indicators, affecting the accuracy of the test results. Conversely, when the gas flow rate setting is too high, the sample is over-dispersed, with tobacco particles moving too quickly within the fluidized bed. This results in fewer tobacco particles per image at the same image acquisition frequency, leading to insufficient image acquisition or requiring more images and a larger sample volume. Furthermore, this increases the demands on computer image processing and storage capacity, reducing the efficiency of the testing process.

[0003] To accommodate tobacco samples with varying quality characteristics, current operations primarily rely on manual adjustment of the gas flow rate within the fluidized bed by testing personnel based on acquired images. However, this manual adjustment is susceptible to subjective factors such as the intensity of adjustment and the user's experience. Under limited sample conditions, there is a risk that the sample may be exhausted before the adjustment is complete. Furthermore, due to the subjective influence of the testing personnel, the gas flow rate needs to be adjusted for each sample before monitoring, significantly reducing the efficiency of the testing process. Additionally, because tobacco samples have an uneven structural distribution, the dispersion state of the samples must be constantly observed during testing to determine if adjustments to the testing conditions are necessary to meet the sample testing requirements in real time. Therefore, there is an urgent need to develop effective solutions to address the problems of low measurement efficiency, large measurement result deviations, the need for remeasurement after measurement failures, and the requirement for deep and continuous intervention by testing personnel during the measurement process caused by poor dispersion of tobacco particles or excessive sample dispersion, in order to improve the efficiency and accuracy of the testing process. Summary of the Invention

[0004] The purpose of this application is to provide a method for adjusting the gas flow rate in a fluidized bed for tobacco detection. This method has the advantages of not requiring manual intervention during the adjustment process, having a highly efficient and rapid feedback adjustment process, and being able to adjust the gas flow rate in real time according to different tobacco conditions and the dispersion state of the same sample during the test, thus solving the problems that plague current detection work.

[0005] This application provides a method for adjusting the gas flow rate in a fluidized bed for tobacco detection, including:

[0006] S1. Obtain the upper and lower limits of gas flow rate, the center value of gas flow rate, and the relationship curve between the dispersion state of tobacco and gas flow rate for the tobacco to be tested.

[0007] S2. Input the obtained gas flow rate center value as the gas flow rate set value into the fluidized bed platform to make the tobacco in the fluidized bed platform fluidized.

[0008] S3. Monitor the dispersion state of tobacco and update the gas flow rate in real time based on the real-time dispersion state of tobacco and the relationship curve between the tobacco dispersion state and the gas flow rate, so that the tobacco in the fluidized bed can maintain a good dispersion state.

[0009] In one implementation, S1 includes obtaining the upper and lower limits of gas flow rate, the center value of gas flow rate, and the relationship curve between the tobacco dispersion state and gas flow rate for the tobacco to be tested based on a preliminary experiment. The preliminary experiment includes placing a portion of the tobacco to be tested in a fluidized bed platform, adjusting the gas flow rate in the fluidized bed platform in steps, acquiring tobacco images at preset intervals, and processing the acquired tobacco images in real time to extract the tobacco dispersion state. Based on the extracted multiple dispersion states, the upper and lower limits of gas flow rate, the center value of gas flow rate, and the relationship curve between the tobacco dispersion state and gas flow rate are obtained.

[0010] In one embodiment, the step of updating the gas flow rate in real time based on the real-time dispersion state of the tobacco and the relationship curve between the tobacco dispersion state and the gas flow rate in step S4 includes:

[0011] Compare the real-time dispersion state of the tobacco with the preset dispersion state.

[0012] If the real-time dispersion state is within the preset dispersion state range, then the gas flow rate is fixed;

[0013] If the real-time dispersion state is too dispersed, the gas flow rate is reduced by a preset amount according to the relationship curve between the tobacco dispersion state and the gas flow rate.

[0014] If the real-time dispersion state is too concentrated or poorly dispersed, the gas flow rate is increased by a preset amount according to the relationship curve between the tobacco dispersion state and the gas flow rate.

[0015] In one implementation, the preset amplitude includes dividing the difference between the upper and lower limits of the gas flow rate into multiple steps based on the changes in the obtained tobacco dispersion state, and updating the gas flow rate with the steps as the amplitude.

[0016] In one implementation, the dispersion state includes the length, number, total area, and number of clumps of tobacco particles within each frame of the image.

[0017] In one implementation, obtaining the upper and lower limits of gas flow rate, the center value of gas flow rate, and the relationship curve between tobacco dispersion state and gas flow rate based on the extracted multiple dispersion states includes:

[0018] Based on the length of the extracted tobacco particles, the number of tobacco particles and clumps is set within a certain range according to experience. The upper and lower limits of gas flow rate are obtained from the set range, and the center value of gas flow rate is calculated based on the upper and lower limits of gas flow rate. The relationship curve between the dispersion state of tobacco particles and gas flow rate is recorded in real time and formed.

[0019] In one embodiment, the stepped adjustment of the gas flow rate within the fluidized bed platform includes:

[0020] Adjust the gas flow rate within the fluidized bed platform by gradually decreasing it from a larger to a smaller step.

[0021] In one implementation, the real-time processing of the acquired tobacco images includes:

[0022] Image binarization: Converting a tobacco image into a black and white image;

[0023] Extracting tobacco particle edges: The edge information of tobacco particles in each frame of the image is extracted using the image gradient operator;

[0024] Labeling tobacco particles: Image detection operators are used to identify closed edge information and label them as individual tobacco particles;

[0025] Statistical analysis of tobacco particles: Calculate the length, number, and total area of ​​tobacco particles in each frame of the image.

[0026] In one implementation, the real-time processing of the acquired tobacco images further includes:

[0027] The number of tobacco particles in each frame of the image is processed by a moving average according to a preset time period.

[0028] The method for adjusting the gas flow rate in a fluidized bed for tobacco detection described in this application has the following advantages:

[0029] The method of this application first determines the suitable gas flow rate range for the sample to be tested using a small number of test samples and pre-sets the judgment criteria. During the detection process, the gas flow rate is adjusted in real time to ensure that the tobacco particle sample always maintains a relatively good dispersion state. The gas flow rate is automatically adjusted through the control system feedback, thereby ensuring that the tobacco particles are in a good dispersed state during the detection process. The adjustment process does not require manual intervention, and the feedback adjustment process is efficient and fast. It can adaptively complete the adjustment process during the measurement process for different sample conditions and as the dispersion state of the same sample changes in real time during the test. Attached Figure Description

[0030] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a flowchart illustrating a method for adjusting the gas flow rate in a fluidized bed for tobacco detection, according to an embodiment of this application. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can typically be arranged and designed in various different configurations.

[0033] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0034] Firstly, this application provides a method for adjusting the gas flow rate in a fluidized bed for tobacco detection. Figure 1 This is a flowchart illustrating a method for adjusting the gas flow rate in a fluidized bed for tobacco detection, according to an embodiment of this application. See also... Figure 1 The gas flow rate adjustment method in this application includes the following steps:

[0035] S1. Obtain the upper and lower limits of gas flow rate, the center value of gas flow rate, and the relationship curve between the tobacco dispersion state and gas flow rate for the detection of tobacco particles to be tested.

[0036] In the above-mentioned S1 implementation process, the upper and lower limits of gas flow rate, the center value of gas flow rate, and the relationship curve between tobacco dispersion state and gas flow rate can be obtained from the results of samples tested in the same batch. For new batches of samples, these can be obtained through preliminary experiments. The preliminary experiments involve placing a portion of the tobacco to be tested in a fluidized bed platform, adjusting the gas flow rate in the fluidized bed platform in steps, acquiring tobacco images at preset intervals, and processing the acquired tobacco images in real time to extract the tobacco dispersion state. Based on the extracted dispersion states, the upper and lower limits of gas flow rate, the center value of gas flow rate, and the relationship curve between tobacco dispersion state and gas flow rate are obtained. Among them, the dispersion state includes the length, number, total area, and number of clumps of tobacco particles in each frame of image. Based on the length of the extracted tobacco particles, the set range of the number of tobacco particles and clumps of tobacco is set empirically, for example, the average number of tobacco particles in each frame of image is 8-12. Define the upper and lower limits of gas flow rate suitable for the tobacco particles to be tested within a set range (8-12). Calculate the center value of gas flow rate based on the upper and lower limits of gas flow rate. Record the relationship curve between the dispersion state of tobacco particles and gas flow rate in real time during the dispersion state and gas flow rate acquisition process.

[0037] S2. Input the obtained gas velocity center value as the gas velocity set value into the fluidized bed platform to make the tobacco in the fluidized bed platform fluidized. After the gas velocity value is set, observe and confirm that the tobacco has initially achieved basic dispersion and that the tobacco has initially achieved complete fluidization in the fluidized bed, ensuring that the tobacco dispersion state basically meets the measurement requirements.

[0038] S3. Monitor the dispersion state of tobacco and update the gas flow rate in real time based on the real-time dispersion state of tobacco and the relationship curve between the tobacco dispersion state and the gas flow rate, so that the tobacco in the fluidized bed can maintain a good dispersion state.

[0039] In the above-mentioned S3 implementation process, the gas flow rate is updated in real time based on the real-time dispersion state of the tobacco and the relationship curve between the tobacco dispersion state and the gas flow rate, including:

[0040] During the detection process, the real-time dispersion state of the tobacco is compared with the preset dispersion state. The preset dispersion state can be obtained from the results of the same batch of samples or from the preliminary experiment. For example, in the detection of a tobacco sample, an average of 8 to 12 tobacco particles in each frame of the image is considered to be in a state of relatively good dispersion.

[0041] If the real-time dispersion state is within the preset dispersion state range, then the gas flow rate is fixed;

[0042] If the real-time dispersion state is in an over-dispersion state, for example, the average number of tobacco particles per frame is less than 8, then the gas flow rate is reduced by a preset amount according to the relationship curve between the tobacco dispersion state and the gas flow rate.

[0043] If the real-time dispersion state is too concentrated or poorly dispersed, for example, if the average number of tobacco particles per frame is greater than 12, then the gas flow rate is increased by a preset amount according to the relationship curve between the tobacco dispersion state and the gas flow rate.

[0044] In the above implementation process, by pre-obtaining the upper and lower limits of the gas flow rate of the tobacco to be tested, and based on the pre-obtained and set dispersion standards, the dispersion state of the tobacco shreds is automatically determined, and the gas flow rate is adjusted automatically through system feedback to ensure that the tobacco shreds are in a well-dispersed state throughout the testing process. The adjustment process requires no manual intervention, and the feedback adjustment process is highly efficient and rapid. It can adaptively adjust the gas flow rate in real time during the measurement process for different tobacco conditions and as the dispersion state of the same sample changes during testing. This effectively avoids problems such as low measurement efficiency, large deviations in measurement results, and the need for remeasurement due to poor dispersion or overly dispersed samples, thus improving the efficiency and accuracy of the testing work. This method can determine the appropriate gas flow rate range for a small number of test samples and adjust the gas flow rate in real time during the testing process to ensure that the tobacco particles always maintain a relatively good dispersion state.

[0045] In one implementation, the preset amplitude includes dividing the difference between the upper and lower limits of the gas flow rate into multiple steps based on the changes in the obtained tobacco dispersion state, and updating the gas flow rate with the step size as the amplitude. Setting the adjustment amplitude according to the upper and lower limits of the gas flow rate improves the adjustment efficiency and avoids the adjustment amplitude being too large or too small, which would affect the dispersion effect.

[0046] In one embodiment, the aforementioned step-adjustment of the gas flow rate within the fluidized bed platform includes:

[0047] Adjust the gas flow rate within the fluidized bed platform by gradually decreasing it from a larger to a smaller step.

[0048] In one implementation, the real-time processing of the acquired tobacco images includes:

[0049] Image binarization: Converting a tobacco image into a black and white image;

[0050] Extracting tobacco particle edges: The edge information of tobacco particles in each frame of the image is extracted using the image gradient operator;

[0051] Labeling tobacco particles: Image detection operators are used to identify closed edge information and label them as individual tobacco particles;

[0052] Statistical analysis of tobacco particles: Calculate the length, number, and total area of ​​tobacco particles in each frame of the image.

[0053] In one implementation, the aforementioned real-time processing of the acquired tobacco images further includes:

[0054] The number of tobacco particles in each frame of the image is averaged according to a preset time period. Here, we choose to calculate the average number of tobacco particles in 10 tobacco images within 1 second.

[0055] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method of adjusting the gas flow rate in a fluidized bed for tobacco detection, characterized by, The method comprises the following steps: S1, obtaining the upper and lower limits of the gas flow rate suitable for the tobacco to be tested, the center value of the gas flow rate, and the relationship curve between the dispersion state of the tobacco and the gas flow rate according to a pre-experiment, wherein the pre-experiment comprises placing part of the tobacco to be tested in a fluidized bed platform, adjusting the gas flow rate in the fluidized bed platform in steps, collecting tobacco images at preset intervals, and processing the collected tobacco images in real time to extract the dispersion state of the tobacco, and obtaining the upper and lower limits of the gas flow rate, the center value of the gas flow rate, and the relationship curve between the dispersion state of the tobacco and the gas flow rate according to the extracted dispersion states; S2, inputting the obtained center value of the gas flow rate as the set value of the gas flow rate into the fluidized bed platform, so that the tobacco in the fluidized bed platform is in a fluidized state; S3, monitoring the dispersion state of the tobacco, and updating the gas flow rate in real time according to the real-time dispersion state of the tobacco and the relationship curve between the dispersion state of the tobacco and the gas flow rate, so that the tobacco in the fluidized bed continuously maintains a good dispersion state.

2. The method of adjusting the gas flow rate in a fluidized bed for tobacco detection according to claim 1, characterized in that, In the step S3, the updating of the gas flow rate in real time according to the real-time dispersion state of the tobacco and the relationship curve between the dispersion state of the tobacco and the gas flow rate comprises the following steps: comparing the real-time dispersion state of the tobacco with a preset dispersion state; if the real-time dispersion state is within the range of the preset dispersion state, fixing the gas flow rate; if the real-time dispersion state is in an over-dispersed state, reducing the gas flow rate according to the relationship curve between the dispersion state of the tobacco and the gas flow rate at a preset amplitude; if the real-time dispersion state is in an over-aggregated or poorly dispersed state, increasing the gas flow rate according to the relationship curve between the dispersion state of the tobacco and the gas flow rate at a preset amplitude.

3. The method of adjusting the gas flow rate in a fluidized bed for tobacco detection according to claim 2, characterized in that, The preset amplitude comprises dividing the difference between the upper and lower limits of the gas flow rate into a plurality of steps according to the change of the dispersion state of the tobacco, and updating the gas flow rate at the step as the amplitude.

4. The method of claim 1, wherein the fluidized bed gas flow rate is adjusted by adjusting the flow rate of the fluidizing gas. The dispersion state comprises the length, number, total area of tobacco particles, and number of massed tobacco in each frame of image.

5. The method of adjusting the gas flow rate in a fluidized bed for tobacco detection according to claim 4, wherein The obtaining of the upper and lower limits of the gas flow rate, the center value of the gas flow rate, and the relationship curve between the dispersion state of the tobacco and the gas flow rate according to the extracted dispersion states comprises the following steps: according to the length of the extracted tobacco particles, setting a set range of the number of tobacco particles and massed tobacco according to experience, obtaining the upper and lower limits of the gas flow rate according to the set range, calculating the center value of the gas flow rate according to the upper and lower limits of the gas flow rate, and recording and forming the relationship curve between the dispersion state of the tobacco particles and the gas flow rate in real time.

6. The method of claim 1, wherein the fluidized bed gas flow rate is adjusted by adjusting the flow rate of the fluidizing gas. The step of adjusting the gas flow rate in the fluidized bed platform in steps comprises the following step: adjusting the gas flow rate in the fluidized bed platform in steps.

7. The method of claim 1, wherein the fluidized bed gas flow rate is adjusted by adjusting the flow rate of the fluidizing gas. The real-time processing of the collected tobacco images comprises the following steps: image binarization: converting the tobacco image into a black and white image; extracting the edge information of the tobacco particles in each frame of image by using an image gradient operator; labeling the tobacco particles by using an image detection operator to identify the closed edge information and label it as a separate tobacco particle; statistically obtaining the length, number, and total area of the tobacco particles in each frame of image.

8. The method of claim 1, wherein the fluidized bed gas flow rate is adjusted by adjusting the flow rate of the fluidizing gas. The real-time processing of the collected tobacco images further comprises the following step: performing a moving average processing on the number of tobacco particles in each frame of image at a preset time period.

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