Methods, apparatus, equipment and storage media for detecting tobacco filling value

Abstract

This application discloses a method, apparatus, device, and storage medium for detecting tobacco filling value, relating to the field of cigarette manufacturing technology. The method is applied to the leveling plate of a cigarette machine and includes: acquiring the tobacco reduction weight flow rate of the leveling plate within a preset calculation time interval, as well as the first and second tobacco heights before and after reduction by the leveling plate; calculating the weight change of the reduced tobacco based on the weight flow rate; calculating the volume of the reduced tobacco based on the first and second tobacco heights, the cigarette machine speed, a preset tobacco width, and a preset cigarette length; calculating the original tobacco filling value based on the weight change and volume; calibrating the original tobacco filling value according to a pre-stored calibration coefficient to obtain the calibrated tobacco filling value and outputting it to the cigarette machine control system. This application achieves real-time online detection of tobacco filling value in the cigarette machine process, avoiding the data lag problem of offline detection and providing timely and accurate data support for precise control of the cigarette machine.

Description

Technical Field

[0001] This application relates to the field of cigarette manufacturing technology, specifically to a method, apparatus, equipment, and storage medium for detecting tobacco filling value. Background Technology

[0002] The tobacco filling value refers to the volume occupied by a unit mass of tobacco under continuous pressure and time, and is measured in cm³ / g. The tobacco filling value is a core quality indicator of tobacco, characterizing its filling capacity, elasticity, and processing strength. It is a comprehensive indicator reflecting the quality of tobacco processing and directly relates to the filling quality of the tobacco within the cigarette and the cost of tobacco consumption.

[0003] Currently, tobacco filling value is generally detected offline using a tobacco filling instrument, but this method has a long testing cycle and significant data lag. However, tobacco filling value is of great guiding significance for the weight control and suction resistance control of cigarette making machines. Offline testing of tobacco filling value in the laboratory cannot meet the precise control requirements of cigarette making machines. Therefore, online real-time detection of tobacco filling value is particularly important.

[0004] In the existing technology, there are two main methods for detecting the tobacco filling value.

[0005] The first method involves sampling and then testing using a tobacco filling instrument. This is a standard testing method with high accuracy, but it has low testing efficiency, a long measurement cycle, insufficient data volume, and significant data lag.

[0006] The second method involves installing a laser profile scanner at the flavoring outlet or in the blending and packaging process of the tobacco processing stage. The scanner's profile data is used to calculate the natural accumulation volume of the tobacco shreds, and this is combined with weight data from a belt scale to fit the tobacco filling value. This method allows for online real-time detection of the tobacco filling value during the tobacco processing stage. However, due to the relatively low accuracy of the belt scale, the accuracy of the fitted tobacco filling value is not high. Furthermore, the tobacco filling value decreases somewhat after passing through the pneumatic conveyor and the cigarette rolling machine compared to the flavored tobacco filling value. Therefore, the tobacco filling value detected during the tobacco processing stage cannot meet the real-time control requirements of the cigarette rolling machine.

[0007] Therefore, there is an urgent need for a method that can detect the tobacco filling value in real time during the cigarette making process, so as to provide data support for the precise control of the physical indicators of cigarettes. Summary of the Invention

[0008] The main purpose of this application is to provide a tobacco filling value detection method to solve the problem that existing technologies cannot achieve high-precision real-time detection of tobacco filling value in the cigarette making process.

[0009] To achieve the above objectives, this application provides the following technical solution: A method for detecting tobacco filling value, applied to the leveling plate of a cigarette machine, the method comprising the following steps: Step S1: Obtain the tobacco weight reduction flow rate of the leveling plate within the preset calculation time interval. And to obtain the first tobacco height before the tobacco is cut by the leveling plate. and the height of the second tobacco shred after cutting ; Step S2, based on the obtained weight flow rate Calculate the change in the weight of the cut tobacco shreds within the calculation time interval. The calculation expression is: ,in The duration of the calculation time interval; Step S3, based on the height of the first tobacco shreds Second tobacco height Calculate the volume of tobacco shreds reduced within the calculation time interval. The calculation expression is:

[0010] in, The preset tobacco width, The speed of the cigarette rolling machine. This is the preset length of a single-cigarette without a mouthpiece; Step S4, based on the change in weight of the reduced tobacco shreds. and reducing tobacco volume Calculate the original tobacco filling value The calculation expression is: ; Step S5, based on the pre-stored calibration coefficients and The online filling value of the tobacco shreds Calibration was performed to obtain the calibrated tobacco filling value. The calculation expression is: ; Step S6: Output the calibrated tobacco filling value. To the cigarette machine control system.

[0011] Beneficial effects: This application acquires the weight flow rate of the cut tobacco and the height of the tobacco before and after cutting in real time at the leveling plate of the cigarette rolling machine. Based on parameters such as tobacco width, cigarette rolling machine speed, and cigarette length, it simultaneously calculates the volume and weight of the cut tobacco to obtain the original filling value. This value is then calibrated using a calibration coefficient, and finally, the calibrated filling value is output. This method places the detection point at the final stage before the tobacco is rolled, enabling real-time reflection of the actual filling state of the tobacco entering the cigarette rolling machine. This avoids the data lag problem of traditional offline detection and also avoids the impact of filling value attenuation caused by pneumatic and mechanical conveying during the tobacco-making process. This provides timely and accurate data support for cigarette rolling machine weight control and suction resistance adjustment.

[0012] As a further improvement to this application, the calibration coefficient and The following steps are used to fit the result: Step S51: Obtain multiple sets of original tobacco filling values ​​from online detection. and with each group Corresponding tobacco filling instrument detection value ; Step S52, based on the linear regression fitting equation Calculate the calibration coefficients and .

[0013] Beneficial effects: This application obtains calibration coefficients through linear regression fitting, enabling online detection results to remain consistent with standard laboratory detection methods, thus ensuring the adaptability and long-term reliability of the detection method.

[0014] As a further improvement to this application, the calibration coefficient and The fitting steps also include: Step S53: Calculate the coefficient of determination of the fitted equation. The calculation expression is:

[0015] in, The average value of the values ​​measured by each tobacco filling instrument is calculated using the following expression: ; Number of data sets; Step S54: When the determination coefficient R² ≥ 95%, the fitted equation is determined to be valid, and the calibration coefficients are stored. and .

[0016] Beneficial effects: This application introduces a determination coefficient R² to quantitatively evaluate the calibration model. The fitting equation is deemed valid only when R² is not lower than 95%, ensuring that only calibration coefficients with a high confidence level of goodness of fit are used. This avoids the risk of model inaccuracy due to data anomalies or insufficient sample size, and enables online detection results to maintain a high degree of consistency with standard detection methods.

[0017] To achieve the above objectives, this application also provides the following technical solutions: A tobacco filling value detection device, applied to the tobacco filling value detection method described above, the device comprising: The weighing unit includes a weighing sensor mounted below the leveling plate for real-time detection of the weight flow rate of tobacco shreds reduced by the leveling plate. The visual detection unit includes a first line scan camera and a second line scan camera respectively located on the front and rear sides of the leveling plate. The first line scan camera is used to capture the height of the first tobacco shreds before being cut by the leveling plate in real time, and the second line scan camera is used to capture the height of the second tobacco shreds after being cut by the leveling plate in real time. The data processing unit, connected to the weighing unit and the vision detection unit, is configured to calculate the original tobacco filling value based on the weight flow rate, the first tobacco height, the second tobacco height, the real-time acquired cigarette machine speed, the preset tobacco width, and the preset single cigarette length without mouthpiece, and to calibrate the original tobacco filling value according to the pre-stored calibration coefficient to obtain the calibrated tobacco filling value. The output module is used to transmit the calibrated tobacco filling value to the cigarette machine control system.

[0018] As a further improvement to this application, the data processing unit further includes: Calibration coefficient storage unit, used to store calibration coefficients; The data processing unit is also configured to acquire multiple sets of original tobacco filling values ​​and corresponding tobacco filling instrument detection values, obtain the calibration coefficients based on linear regression fitting, and store the calibration coefficients when the determination coefficient of the fitting equation is not less than 95%.

[0019] To achieve the above objectives, this application also provides the following technical solutions: An electronic device includes a processor and a memory coupled to the processor, the memory storing program instructions executable by the processor; when the processor executes the program instructions stored in the memory, it implements the tobacco filling value detection method as described above.

[0020] To achieve the above objectives, this application also provides the following technical solutions: A computer-readable storage medium storing program instructions that, when executed by a processor, enable the tobacco filling value detection method described above. Attached Figure Description

[0021] Figure 1 This is a schematic flowchart illustrating the steps of an embodiment of the tobacco filling value detection method of this application; Figure 2 This is a functional module diagram of an embodiment of a tobacco filling value detection device according to this application; Figure 3 This is a schematic diagram of the structure of an embodiment of the electronic device of this application; Figure 4 This is a schematic diagram of the structure of one embodiment of the storage medium of this application. Detailed Implementation

[0022] 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 a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0023] The terms "first," "second," and "third" in this application are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0024] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0025] like Figure 1 As shown, a method for detecting tobacco filling value is applied to the leveling plate of a cigarette machine.

[0026] Specifically, the detection method includes the following steps: Step S1: Obtain the tobacco weight reduction flow rate of the leveling plate within the preset calculation time interval. And to obtain the first tobacco height before the tobacco is cut by the leveling plate. and the height of the second tobacco shred after cutting .

[0027] Furthermore, in step S1, a weighing sensor is installed below the leveling plate to detect in real time the weight and flow rate of excess tobacco shreds cut off by the leveling plate. The weighing sensor can be a high-precision strain gauge sensor with a range of 0–200g, an accuracy of ±0.1g, and a sampling frequency of no less than 100Hz to ensure that it can capture the instantaneous weight change during the tobacco cutting process. Calculation time interval. It can be set according to the production cycle and real-time detection requirements of the cigarette machine, for example, taking... =30s, but shorter times such as 10s or 60s can also be used, depending on the actual testing requirements.

[0028] The height of the tobacco shreds is obtained using two line-scan cameras, one positioned in front of and the other behind the leveling plate. The first line-scan camera, located in front of the leveling plate, is used to collect real-time data on the height of the tobacco shreds before they are cut by the leveling plate. The second line-scan camera is located behind the leveling plate and is used to collect real-time data on the height of the tobacco shreds after they have been reduced by the leveling plate. The line scan camera has a resolution of no less than 2048 pixels and a sampling frequency of no less than 200Hz, with its optical axis perpendicular to the tobacco conveying direction to ensure accurate height measurement. The raw image acquired by the line scan camera is processed using image processing algorithms to extract the tobacco outline, and then the tobacco height is calculated. The tobacco height is defined as the average thickness of the tobacco along the width of the suction track, measured in cm. Step S2, based on the obtained weight flow rate Calculate the change in the weight of the cut tobacco shreds within the calculation time interval. The calculation expression is: ,in The duration of the calculation time interval.

[0029] Specifically, let's assume that in step S1, the weighing sensor is within the calculation time interval. If the internally measured weight flow rate m is a constant value (in practice, its average value can be taken), then the reduction in the weight change of the tobacco shreds... That is and The product of. For example, when =30s, average weight flow rate measured by the weighing sensor =37.8g / s, then =37.8 × 30 = 1134g. If the weight flow rate fluctuates, an integral method can be used for calculation. The integration interval is .

[0030] Step S3, based on the height of the first tobacco shreds Second tobacco height Calculate the volume of tobacco shreds reduced within the calculation time interval. The calculation expression is:

[0031] in, The preset tobacco width, The speed of the cigarette rolling machine. This is the preset length of a single cigarette without a mouthpiece.

[0032] Furthermore, in step S3, the width of the tobacco shreds... The physical width of the cigarette-feeding track is obtained through measurement and is a fixed value, typically ranging from 0.5cm to 1.0cm. In a preferred example of this embodiment, Take 0.7cm. Cigarette rolling machine speed. The data is acquired in real-time via the cigarette machine's own encoder, measured in cigarettes per second, with a response delay of no more than 100ms. (Single cigarette length without mouthpiece) These are the equipment design parameters for the cigarette rolling machine, which are fixed values, generally ranging from 5.0cm to 7.0cm. In this embodiment, 1 is taken as 5.8cm. The calculation time interval is the same as that in step S2.

[0033] Substituting the above parameters into the formula, the volume of tobacco shreds Δv reduced by the leveling plate during the calculation time interval can be calculated. For example, taking... , , Items / s (corresponding to 5000 items / min) , , ,but .

[0034] Step S4, based on the change in weight of the reduced tobacco shreds. and reducing tobacco volume Calculate the original tobacco filling value The calculation expression is: .

[0035] The result obtained in step S2 The result obtained in step S3 Substituting into the formula, you can obtain the original tobacco filling value. Continuing with the example above, , ,but .

[0036] Step S5, based on the pre-stored calibration coefficients and The online filling value of the tobacco shreds Calibration was performed to obtain the calibrated tobacco filling value. The calculation expression is: .

[0037] The calibration coefficients a and b were obtained through pre-fitting. The fitting process is as follows: Step S51: Obtain multiple sets of original tobacco filling values ​​from online detection. and with each group Corresponding tobacco filling instrument detection value Specifically, during the normal operation of the cigarette rolling machine, different batches of tobacco are selected, and several groups are calculated according to steps S1 to S4. Simultaneously, samples were taken from the tobacco shreds cut from the leveling plate within the same time period, and tested using a laboratory tobacco filling instrument (such as the DD60A tobacco filling instrument) according to standard methods to obtain the corresponding results. .

[0038] In one specific embodiment, a total of 10 sets of data were collected, and the results are shown in the table below: Table 1. Fitting data between online calculation results and instrument detection results

[0039] Step S52, based on the linear regression fitting equation Calculate the calibration coefficients and The least squares method was used to perform linear regression fitting on the 10 sets of data in the table above, and the fitting equation was obtained as follows:

[0040] Step S53: Calculate the coefficient of determination of the fitted equation. The expression is:

[0041] in, The average value of the values ​​measured by each tobacco filling instrument is calculated using the following expression: ; Number of data sets; Calculations show that the fitting equation in this embodiment is adjusted... The accuracy rate was 97.4%, indicating a good fit.

[0042] Step S54, when the decision coefficient When the fitted equation is valid, the calibration coefficients are stored. a =0.1487 and b =0.5551. If If so, it is necessary to recollect data or adjust the fitting model.

[0043] After obtaining the calibration coefficients, the calibrated fill value f =0.1487 + 0.5551 × f 1 .

[0044] Step S6: Output the calibrated tobacco filling value. To the cigarette machine control system.

[0045] To verify the accuracy of this method, a verification experiment was conducted on the seven newly collected sets of data using the above-mentioned fitting equation. The online calculation results were substituted into the fitting equation to obtain the online detection tobacco filling value, and compared with the instrument detection value. The results are shown in the table below: Table 2 Comparison of Verification Test Results

[0046] The verification results show that the average absolute error between the online detection results and the instrument detection results is 0.04 cm³ / g, and the average relative error is 1.01%, indicating high detection accuracy, which can meet the needs of real-time control of cigarette making machines.

[0047] Through the steps S1 to S6 described above, real-time online detection of the tobacco filling value at the leveling plate of the cigarette rolling machine is achieved. This method sets the detection location at the final stage before the tobacco is rolled, accurately reflecting the filling capacity of the tobacco entering the cigarette rolling machine. It avoids the data lag issues of offline detection and the accuracy degradation problems of detection during the tobacco-making process, providing timely and accurate data support for the adaptive control of the cigarette rolling machine.

[0048] In another preferred embodiment, the weight flow rate is obtained in step S1. m First tobacco heightH 1 Second tobacco height H 2 At the same time, the data collection times of all devices are synchronized based on the same time reference. Specifically, this includes weighing sensors, line-scan cameras, and devices used to acquire vehicle speed. s All encoders use the same clock source for timestamping, ensuring consistent time alignment of all data within the calculation time interval, thereby reducing calculation errors caused by data asynchrony. This process extends from data acquisition to the output of the calibrated tobacco filling value. f The total processing delay is no more than 1 second to meet the requirements of real-time control.

[0049] See Figure 2 This embodiment provides a tobacco filling value detection device, applied to the above-mentioned tobacco filling value detection method. In this embodiment, the tobacco filling value detection device includes a weighing unit 1, a vision detection unit 2, a data processing unit 3, and an output module 4, which are electrically or signalally connected in sequence.

[0050] The weighing unit includes a weighing sensor installed below the leveling plate to detect the weight flow rate of the tobacco shreds cut by the leveling plate in real time. The vision detection unit includes a first line scan camera and a second line scan camera respectively located on the front and rear sides of the leveling plate. The first line scan camera is used to capture the height of the first tobacco shreds before being cut by the leveling plate in real time, and the second line scan camera is used to capture the height of the second tobacco shreds after being cut by the leveling plate in real time. The data processing unit is connected to the weighing unit and the vision detection unit and is configured to calculate the original tobacco filling value based on the weight flow rate, the height of the first tobacco shreds, the height of the second tobacco shreds, the real-time acquired cigarette machine speed, the preset tobacco shred width, and the preset single cigarette length without a mouthpiece. The original tobacco filling value is then calibrated according to a pre-stored calibration coefficient to obtain the calibrated tobacco filling value. The output module is used to transmit the calibrated tobacco filling value to the cigarette machine control system.

[0051] Furthermore, the data processing unit also includes a calibration coefficient storage unit 31 for storing calibration coefficients; the data processing unit is also configured to acquire multiple sets of original tobacco filling values ​​and corresponding tobacco filling instrument detection values, obtain calibration coefficients based on linear regression fitting, and store calibration coefficients when the determination coefficient of the fitting equation is not less than 95%.

[0052] It should be noted that this embodiment is a functional module embodiment based on the above method embodiment. For additional content such as extensions, optimizations, limitations, examples, principle explanations, and beneficial effects of this embodiment, please refer to the above embodiments. This embodiment will not repeat them here.

[0053] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Figure 3As shown, the electronic device 5 includes a processor 51 and a memory 52 coupled to the processor 51.

[0054] The memory 52 stores program instructions for implementing the federated learning-based collaborative energy-saving method for government data clusters in any of the above embodiments.

[0055] The processor 51 is used to execute program instructions stored in the memory 52 for collaborative energy saving of government data groups based on federated learning.

[0056] The processor 51 can also be referred to as a CPU (Central Processing Unit). The processor 51 may be an integrated circuit chip with signal processing capabilities. The processor 51 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor.

[0057] Furthermore, Figure 4 This is a schematic diagram of the structure of a storage medium according to an embodiment of this application. See also: Figure 4 In this embodiment of the application, the storage medium 6 stores program instructions 61 capable of implementing all the above methods. These program instructions 61 can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.

[0058] In the several embodiments provided in this application, it should be understood that the disclosed systems (apparatus), systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of systems or units may be electrical, mechanical, signal, or other forms.

[0059] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for detecting tobacco filling value, applied to the leveling plate of a cigarette machine, characterized in that, The method includes the following steps: Step S1: Obtain the tobacco weight reduction flow rate of the leveling plate within the preset calculation time interval. And to obtain the first tobacco height before the tobacco is cut by the leveling plate. and the height of the second tobacco shred after cutting ; Step S2, based on the obtained weight flow rate Calculate the change in the weight of the cut tobacco shreds within the calculation time interval. The calculation expression is: ,in The duration of the calculation time interval; Step S3, based on the height of the first tobacco shreds Second tobacco height Calculate the volume of tobacco shreds reduced within the calculation time interval. The calculation expression is: in, The preset tobacco width, The speed of the cigarette rolling machine. This is the preset length of a single-cigarette without a mouthpiece. Step S4, based on the change in weight of the reduced tobacco shreds. and reducing tobacco volume Calculate the original tobacco filling value The calculation expression is: ; Step S5, based on the pre-stored calibration coefficients and The online filling value of the tobacco shreds Calibration was performed to obtain the calibrated tobacco filling value. The calculation expression is: ; Step S6: Output the calibrated tobacco filling value. To the cigarette machine control system.

2. The method according to claim 1, characterized in that, The calibration coefficient and The following steps are used to fit the result: Step S51: Obtain multiple sets of original tobacco filling values ​​from online detection. and with each group Corresponding tobacco filling instrument detection value ; Step S52, based on the linear regression fitting equation Calculate the calibration coefficients and .

3. The method according to claim 2, characterized in that, The calibration coefficient and The fitting steps also include: Step S53: Calculate the coefficient of determination of the fitted equation. The calculation expression is: in, The average value of the values ​​measured by each tobacco filling instrument is calculated using the following expression: ; Number of data sets; Step S54: When the determination coefficient R² ≥ 95%, the fitted equation is determined to be valid, and the calibration coefficients are stored. and .

4. A tobacco filling value detection device, applied to the tobacco filling value detection method as described in claims 1 to 3, characterized in that, The device includes: The weighing unit includes a weighing sensor mounted below the leveling plate for real-time detection of the weight flow rate of tobacco shreds reduced by the leveling plate. The visual detection unit includes a first line scan camera and a second line scan camera respectively located on the front and rear sides of the leveling plate. The first line scan camera is used to capture the height of the first tobacco shreds before being cut by the leveling plate in real time, and the second line scan camera is used to capture the height of the second tobacco shreds after being cut by the leveling plate in real time. The data processing unit, connected to the weighing unit and the vision detection unit, is configured to calculate the original tobacco filling value based on the weight flow rate, the first tobacco height, the second tobacco height, the real-time acquired cigarette machine speed, the preset tobacco width, and the preset single cigarette length without mouthpiece, and to calibrate the original tobacco filling value according to the pre-stored calibration coefficient to obtain the calibrated tobacco filling value. The output module is used to transmit the calibrated tobacco filling value to the cigarette machine control system.

5. The apparatus according to claim 4, characterized in that, The data processing unit further includes: Calibration coefficient storage unit, used to store calibration coefficients; The data processing unit is also configured to acquire multiple sets of original tobacco filling values ​​and corresponding tobacco filling instrument detection values, obtain the calibration coefficients based on linear regression fitting, and store the calibration coefficients when the determination coefficient of the fitting equation is not less than 95%.

6. An electronic device, characterized in that, The method includes a processor and a memory coupled to the processor, the memory storing program instructions executable by the processor; when the processor executes the program instructions stored in the memory, it implements the tobacco filling value detection method as described in any one of claims 1 to 3.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores program instructions that, when executed by a processor, enable the tobacco filling value detection method as described in any one of claims 1 to 3.

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