Tobacco particle powder characteristic detection method, device and equipment and storage medium

Abstract

The invention relates to the technical field of tobacco products, and provides a tobacco particle powder characteristic detection method, device and equipment and a storage medium, and the method comprises the following steps: carrying out multi-dimensional powder characteristic index detection on tobacco particles to obtain a final detection result, the multi-dimensional powder characteristic indexes comprise at least one of the following items: a repose angle, a collapse angle, a difference angle, a plate angle, apparent density and tap density; and outputting a fluidity evaluation result of the tobacco particles according to the final detection result. By means of the technical scheme, the problems of blockage, uneven discharging and the like in the filling process can be effectively avoided, the filling efficiency and the continuous stability of a production line are remarkably improved, and the outage rate and the rejection rate are reduced.

Description

Technical Field

[0001] This application relates to the field of tobacco product technology, and in particular to a method, apparatus, equipment and storage medium for detecting the powder characteristics of tobacco particles. Background Technology

[0002] As a new type of tobacco product, heated cigarettes rely heavily on the powder characteristics of their core component, tobacco particles, which directly determine production efficiency, product quality stability, and the sensory experience of smoking. Accurate detection and evaluation of the flowability of tobacco particles are crucial for ensuring the large-scale production of heated cigarettes and optimizing processing technology.

[0003] However, the application of existing technologies in the field of tobacco pellets for heated cigarettes has significant limitations and cannot meet the actual needs of the industry. The main key technical problems are as follows: First, tobacco pellets (especially wet-granulated tobacco pellets specifically for heated cigarettes) have unique physicochemical properties. Their particle size distribution, morphology, and moisture sensitivity differ significantly from food pellets. Currently, there is no dedicated flowability testing method for this specific type of tobacco pellet, and existing food-related testing solutions cannot be directly adapted, resulting in a lack of scientific and accurate characterization methods for tobacco pellet flowability. Second, existing technologies have not established a logical correlation between multi-dimensional powder characteristics of tobacco pellets and flowability. They cannot systematically and objectively evaluate the flowability of tobacco pellets through the test results of indicators such as angle of repose, angle of collapse, loose density, and tapped density. They still rely on subjective judgments such as touch and visual inspection, lacking quantitative data support, resulting in insufficient accuracy and reliability. Third, existing testing processes have not optimized instrument testing parameters for the characteristics of tobacco pellets. The setting of testing parameters for different indicators lacks specificity, making it difficult to guarantee the stability and repeatability of test results, thus affecting the credibility of flowability evaluation. Summary of the Invention

[0004] This application provides a method, apparatus, equipment, and storage medium for detecting the powder characteristics of tobacco particles, aiming to solve the technical problems in related technologies, such as the lack of scientific and accurate characterization methods for the flowability of tobacco particles.

[0005] In a first aspect, embodiments of this application provide a method for detecting the powder characteristics of tobacco particles, including: Tobacco particles are subjected to multi-dimensional powder characteristic index testing to obtain the final test results. The multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, angle of flatness, loose density, and tapped density. Based on the final test results, the flowability evaluation results of the tobacco particles are output.

[0006] In one embodiment, optionally, the tobacco particles include wet-granulated tobacco particles for heated cigarettes, the particle size distribution of the tobacco particles being adapted to the requirements of the high-speed filling process for heated cigarettes, and the tobacco particles being prepared after wet granulation and drying.

[0007] In one embodiment, optionally, the tobacco particles are subjected to multi-dimensional powder characteristic index detection to obtain the final detection result, including: Each powder characteristic index was tested multiple times to obtain multiple test results; The average value of the multiple test results corresponding to each powder characteristic index is calculated to obtain the final test result.

[0008] In one embodiment, the difference angle may be the difference between the angle of repose and the angle of collapse.

[0009] In one embodiment, optionally, based on the final detection result, the flowability evaluation result of the tobacco particles is output, including: When the multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, and angle of flatness, obtain the index threshold corresponding to the powder characteristic index; In response to the final detection result being less than or equal to the index threshold, it is determined that the tobacco particles have good flowability; When the multi-dimensional powder characteristic index includes loose packing density and tapped density, the compressibility is calculated based on the loose packing density and tapped density. In response to the compression being less than or equal to a preset compression, it is determined that the tobacco particles have good flowability.

[0010] In one embodiment, optionally, the method involves using an intelligent powder property tester to detect multi-dimensional powder property indicators of tobacco particles, and the method further includes: Set corresponding detection parameters for each powder characteristic index; The detection parameters corresponding to the angle of repose, the angle of collapse, and the loose packing density include feeding time and feeding speed; The detection parameters corresponding to the tapped density include the tapping frequency and the number of taps.

[0011] In one embodiment, optionally, the method further includes: Based on the flowability evaluation results, suggestions for adjusting the wet granulation process parameters are provided, wherein the adjustment suggestions include at least one of the following: the direction of optimization of binder dosage and drying curve.

[0012] Secondly, embodiments of this application provide a device for detecting the powder characteristics of tobacco particles, comprising: The detection module is used to detect multi-dimensional powder characteristic indicators of tobacco particles to obtain the final detection results. The multi-dimensional powder characteristic indicators include at least one of the following: angle of repose, angle of collapse, angle of difference, angle of flatness, loose density, and tapped density. The evaluation module is used to output the flowability evaluation result of the tobacco particles based on the final detection result.

[0013] Thirdly, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for detecting the powder characteristics of tobacco particles.

[0014] Fourthly, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the steps of the above-described method for detecting the powder characteristics of tobacco particles.

[0015] The above-described methods, apparatus, equipment, and storage media for detecting the powder characteristics of tobacco particles involve multi-dimensional detection of powder characteristic indicators to obtain a final detection result. These multi-dimensional powder characteristic indicators include at least one of the following: angle of repose, angle of collapse, angle of difference, angle of flatness, loose density, and tapped density. Based on the final detection result, the flowability evaluation result of the tobacco particles is output. This invention fills the gap in dedicated detection of tobacco particle flowability, overcoming the limitations of existing technologies which are mostly applied to food particles and lack adaptability to tobacco particles. By combining targeted indicators such as angle of repose and angle of collapse, a dedicated detection system adapted to tobacco particles is constructed, providing a scientific and quantitative characterization method for tobacco particle flowability. This overcomes the subjective defects of traditional methods relying on manual feel and visual judgment, improving the objectivity and accuracy of the detection results. The flexible selection and combination of multi-dimensional indicators supports both rapid detection of a single core indicator and comprehensive assessment of tobacco particle flowability through integrated detection of all dimensions. This adapts to the testing needs of different production scenarios, enhancing the applicability and flexibility of the method. Furthermore, the introduction of derivative indicators such as difference angle and compressibility further strengthens the quantitative logic of flowability evaluation, making the evaluation results more convincing. The test results are directly linked to the flowability evaluation. Through clearly defined indicator thresholds and compressibility judgment rules, automated and standardized flowability evaluation is achieved, avoiding biases from human judgment and providing a unified quality judgment standard for tobacco particle production and processing, ensuring the consistency of product quality across different batches. By ensuring good particle flowability, problems such as clogging and uneven feeding during filling can be effectively avoided, significantly improving filling efficiency and the continuous stability of the production line, and reducing downtime and scrap rates. Attached Figure Description To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A schematic flowchart of a method for detecting the powder characteristics of tobacco particles according to an embodiment of this application is shown.

[0017] Figure 2 A schematic flowchart of step S101 in a method for detecting the powder characteristics of tobacco particles according to an embodiment of this application is shown.

[0018] Figure 3 A block diagram of a device for detecting the powder characteristics of tobacco particles according to an embodiment of this application is shown. Detailed Implementation

[0019] To better understand the technical solution of this application, the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0020] It should be understood that the described embodiments are merely some, not all, of the embodiments in this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.

[0021] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. The singular forms “a,” “the,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0022] To address the technical problem of poor annotation and prediction results due to insufficient preliminary annotation data in related technologies, this application proposes a method, apparatus, equipment, and storage medium for detecting the powder characteristics of tobacco particles.

[0023] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0024] Please see Figure 1 , Figure 1 A schematic flowchart of a method for detecting the powder characteristics of tobacco particles according to an embodiment of this application is shown.

[0025] like Figure 1 As shown in the embodiment of this application, a method for detecting the powder characteristics of tobacco particles is provided, including: Step S101: Perform multi-dimensional powder characteristic index detection on tobacco particles to obtain the final detection result. The multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, angle of flatness, loose density, and tapped density. In one embodiment, optionally, a smart powder property tester is used to detect multi-dimensional powder property indicators of tobacco particles.

[0026] Tobacco pellets are granular materials used in tobacco products (especially heated cigarettes), including pellets prepared by processes such as wet granulation and dry granulation. Multidimensional powder characteristic indicators are a set of key parameters characterizing powder flowability from different physical dimensions, covering angle-related indicators (angle of repose, angle of collapse, etc.) and density-related indicators (loose packing density, tapped density). The angle of repose is the angle between the generatrix of the cone formed by the natural accumulation of powder and the horizontal plane, reflecting the natural flowability of the powder. The angle of collapse is the angle between the generatrix of the cone formed by the powder accumulation and the horizontal plane after slight vibration, reflecting the powder's anti-agglomeration ability. The angle of difference is... The difference between the angle of arrest and the angle of collapse helps characterize the change in flowability of powder after vibration; the plate angle is the critical angle when powder slides on a horizontal plate, reflecting the sliding flowability of powder; the loose density is the mass per unit volume of powder after it falls naturally and fills a fixed-volume container, reflecting the packing characteristics of powder in a loose state; the tapped density is the mass per unit volume of powder after it is vibrated and vented and fills a fixed-volume container, reflecting the packing characteristics of powder in a dense state; the final test results are index data (including raw data or derived data) obtained through standardized testing procedures and can be directly used for flowability evaluation.

[0027] This step is the core data acquisition stage of the detection method. First, based on the detection scenario requirements (such as rapid screening or precise evaluation), at least one of six preset indicators is selected to form a detection combination. Then, using an intelligent powder characteristic tester (such as the BT-1001), the tobacco particles are subjected to standardized testing according to detection parameters adapted to the characteristics of the tobacco particles. Angle-related indicators capture the powder's packing morphology and calculate the angle using image recognition technology, while density-related indicators calculate density by weighing particles at a fixed volume. Finally, single or multiple detection data are integrated to form a structured final detection result, providing a quantitative basis for flowability evaluation. This approach overcomes the limitations of traditional single-indicator detection, achieving a comprehensive or targeted characterization of tobacco particle flowability through the flexible selection and combination of multi-dimensional indicators. Angle-related and density-related indicators complement each other, reflecting both powder packing and sliding characteristics as well as changes in packing state, solving the problem that a single indicator cannot accurately characterize flowability. The standardized detection process ensures the objectivity and comparability of the data, replacing traditional subjective human judgment and providing scientific quantitative support for flowability evaluation.

[0028] Step S102: Based on the final detection result, output the flowability evaluation result of the tobacco particles.

[0029] The flowability evaluation result is a grade of tobacco particle flowability (such as good, average, poor) or a quantitative evaluation conclusion determined based on the test data; among them, flowability is the degree of smoothness of powder flow during production and processing (such as filling and conveying), which is a key characteristic affecting production efficiency and product quality.

[0030] This step is the core evaluation stage of the testing method. First, a correlation logic is established between the testing indicators and flowability: the smaller the angle-related indicators and the smaller the compressibility corresponding to the density-related indicators, the better the flowability. Then, based on the type of indicator in the final testing results, corresponding evaluation rules are applied (such as comparison thresholds for angle-related indicators and comparison thresholds after calculating the compressibility for density-related indicators). Finally, a clear evaluation conclusion is output: if the flowability is good, or if the flowability is insufficient, the process needs to be optimized, providing a direct reference for production applications or process adjustments.

[0031] In this step, a quantitative correlation between detection data and flowability was established, which solved the problem of the lack of scientific basis in traditional experience-based judgment, and made flowability evaluation standardized and repeatable. The clear evaluation results intuitively reflect the processing suitability of tobacco pellets, help to quickly determine whether the pellets meet production needs (such as high-speed filling), and improve the efficiency of production decision-making.

[0032] In one embodiment, optionally, the tobacco particles include wet-granulated tobacco particles for heated cigarettes, the particle size distribution of the tobacco particles being adapted to the requirements of the high-speed filling process for heated cigarettes, and the tobacco particles being prepared after wet granulation and drying.

[0033] Wet-granulated tobacco granules for heated cigarettes are granules specifically designed for use as the core material of heated cigarettes and prepared through a wet granulation process (mixing, granulation, and drying). Particle size distribution refers to the size and proportion of tobacco granules, typically characterized by D10, D50, and D90. High-speed filling process requirements specify the appropriate standards for particle flowability and particle size matching in the granule filling equipment of the heated cigarette production line (e.g., uniform particle size and absence of large agglomerates). Wet granulation is a preparation process in which tobacco raw materials are mixed with binders, granulated by a granulator, and then dried.

[0034] Due to the process characteristics, wet-granulated tobacco particles for heated cigarettes have a specific particle size distribution, which needs to be adapted to the feeding speed and filling accuracy of high-speed filling equipment. The test object is limited to the finished particles after wet granulation and drying to ensure that the test results are consistent with the actual production application scenario and to avoid interference from undried or unformed particles on the test data.

[0035] The above solution achieves precise adaptation of the detection method to specific application scenarios, solving the problem that existing detection methods are mostly applicable to food particles and lack specificity for tobacco particles; it focuses on the core raw materials of heated cigarettes, filling the technical gap in the detection of the flowability of such special particles; and it adapts to the particle size requirements of high-speed filling processes, so that the detection results directly reflect the production adaptability of the particles and enhance the practical value of the detection method.

[0036] like Figure 2 As shown, in one embodiment, optionally, step S101 includes: Step S201: Perform multiple tests on each powder characteristic index to obtain multiple test results.

[0037] Step S202: Calculate the average value of the multiple test results corresponding to each powder characteristic index to obtain the final test result.

[0038] In the above scheme, for each selected powder characteristic index, the test is repeated 3 times or more using the same testing parameters (such as feed rate and number of taps), and the raw data of each test is recorded (such as angle of repose 38.1°, 36.7°, 39.7°). Then, the arithmetic mean of all the raw data of the index is calculated, and the average value is used as the final test result of the index to ensure the stability and reliability of the data. In this way, by repeating the test and calculating the mean, the random error of a single test (such as equipment fluctuation and sampling deviation) is effectively reduced, and the accuracy and repeatability of the test data are improved. It solves the problem of strong randomness and low reliability of single test data, making the final test result more representative. The standardized data processing process ensures that the test results of different batches and different equipment are comparable, providing a stable data foundation for flowability evaluation.

[0039] In one embodiment, optionally, based on the final detection result, the flowability evaluation result of the tobacco particles is output, including: When the multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, and angle of flatness, obtain the index threshold corresponding to the powder characteristic index; In response to the final detection result being less than or equal to the index threshold, it is determined that the tobacco particles have good flowability; When the multi-dimensional powder characteristic index includes loose packing density and tapped density, the compressibility is calculated based on the loose packing density and tapped density. In response to the compression being less than or equal to a preset compression, it is determined that the tobacco particles have good flowability.

[0040] The indicator threshold is a preset critical value for judging the liquidity of angle-type indicators (such as the angle of repose ≤ 38.2°), which can be determined based on a large amount of experimental data and production practice; Compressibility is a derived index reflecting the compressibility of powder. It is calculated as (tap density - loose density) / loose density × 100%. The lower the compressibility, the better the powder flowability. The preset compressibility is a critical value for determining fluidity (e.g., ≤6.9%) set for compressibility.

[0041] In the above scheme, the evaluation is first classified according to the type of detection index: For angle-related indicators (angle of repose, angle of collapse, etc.), the preset index thresholds are called (such as 38.2° for the angle of repose and 29.3° for the flat angle). If the final test result is ≤ the threshold, the flowability is judged to meet the standard in this index dimension. For density-related indicators (loose density + tapped density), the compressibility is calculated first, and then compared with the preset compressibility (such as 6.9%). If the compressibility is ≤ the preset value, the flowability is judged to meet the standard in the density dimension. Finally, the overall flowability evaluation result is output by combining the compliance status of each index (if all test indicators meet the standard, the flowability is judged to be "good").

[0042] In this way, standardized and quantifiable evaluation rules are established, avoiding the bias of traditional subjective evaluation and making liquidity judgment more objective and accurate. Angle-type and density-type indicators adopt differentiated evaluation logic to adapt to the physical meaning of different indicators and improve the scientific nature of the evaluation. Clear thresholds and calculation rules enable the evaluation process to be automated, reduce manual operation costs, and ensure that the evaluation results of different users are consistent, thereby improving the universality of the method.

[0043] In one embodiment, optionally, the method involves using an intelligent powder property tester to detect multi-dimensional powder property indicators of tobacco particles, and the method further includes: Set corresponding detection parameters for each powder characteristic index; The detection parameters corresponding to the angle of repose, the angle of collapse, and the loose packing density include feeding time and feeding speed; The detection parameters corresponding to the tapped density include the tapping frequency and the number of taps.

[0044] The following detailed examples illustrate the methods for obtaining and the testing parameters for each powder characteristic index.

[0045] The angle of repose, angle of collapse, loose density, tapped density, compressibility, and sieve size of particles with suitable moisture content (13-15%) were determined using an intelligent powder tester, and the average value was taken from three tests.

[0046] Angle of rest and angle of collapse Take a 100.0g particle sample and set the parameters as follows: feed time 60s (1-300), feed speed 6 (1-7), and angle of repose and angle of collapse as shown in Table 1.

[0047] Table 1

[0048] Two flat angles Take an appropriate amount of sample, about 100g, without parameters, and use the equipment in default mode. The result is shown in Table 2 on the flat plate.

[0049] Table 2

[0050] Small angles of repose, collapse, flatness, and difference indicate good material flowability.

[0051] Three-pine pack density The mass contained in a unit volume of a 100ml container when it falls naturally into it, under normal conditions.

[0052] Parameter settings: feeding time 60s, feeding speed 3, loose packing density as shown in Table 3.

[0053] Table 3

[0054] Four-vibration tap density Fixed volume method: Vibrate the container at a certain amplitude and frequency to remove air from the powder, and measure the mass contained in a unit volume of the container. Parameter settings: vibration frequency 200 (50-300), number of vibrations 3000 (1-5000), sample volume 100 ml, and vibration density as shown in Table 4.

[0055] Table 4

[0056] Five compression degrees: = Tapered density - Loose packing density / Loose packing density × 100% =0.6529 - 0.6111 / 0.6111 × 100% = 6.84% The degree of volume reduction of the powder under two states indicates that the lower the compressibility, the better the powder flowability.

[0057] In the above solution, the problem of poor adaptability of general detection parameters, which leads to large deviations in tobacco particle detection results, is solved by targeted parameter configuration; standardized parameter settings ensure consistent detection conditions and improve the comparability of detection results for different batches and samples; the application of intelligent equipment reduces the difficulty of manual operation, reduces human error, and improves detection efficiency, adapting to the batch detection needs in large-scale production.

[0058] In one embodiment, optionally, the method further includes: Based on the flowability evaluation results, suggestions for adjusting the wet granulation process parameters are provided, wherein the adjustment suggestions include at least one of the following: the direction of optimization of binder dosage and drying curve.

[0059] The process parameter adjustment recommendations are optimization schemes proposed for the wet granulation process of tobacco pellets based on the flowability evaluation results, used to improve pellet flowability; the binder dosage is the mass ratio of binders (such as starch, sodium carboxymethyl cellulose) added during the wet granulation process; the drying curve is the change law of temperature and time during the drying process (such as heating rate, isothermal time); the optimization direction is a clear trend of process parameter adjustment (such as "reducing binder dosage" and "extending low temperature drying time").

[0060] In the above scheme, when the flowability evaluation result is good, the suggestion to "maintain the current process parameters" can be output; when the evaluation result is insufficient flowability, the direction of process optimization is deduced in reverse by combining the abnormal test indicators. For example, if the angle of repose is too large (severe particle agglomeration), it is suggested to "reduce the amount of binder" or "optimize the drying curve and reduce the moisture content of the particles"; if the compressibility is too large (the powder is easily compressed and has poor flowability), it is suggested to "adjust the drying curve and improve the particle strength", and finally output specific and operable process adjustment suggestions. In this way, it breaks through the limitation of traditional test methods that can only detect results and cannot guide optimization, and realizes full-process support of "detection-evaluation-process optimization"; the targeted process adjustment suggestions directly solve problems such as filling blockage and uneven feeding caused by poor flowability in production, improve production efficiency and product quality stability; avoid the blindness of process optimization, reduce R&D and production costs, and accelerate product iteration cycle. Particles screened or process-adjusted using this invention will not agglomerate in cigarettes and can form a uniform and loose filling structure. This structure ensures uniform air gaps between tobacco particles, facilitating the effective release of volatile components and smooth airflow during heating.

[0061] Figure 3 A block diagram of a device for detecting the powder characteristics of tobacco particles according to an embodiment of this application is shown.

[0062] like Figure 3 As shown, in a second aspect, embodiments of this application provide a tobacco particle powder characteristic detection device 30, comprising: The detection module 31 is used to perform multi-dimensional powder characteristic index detection on tobacco particles to obtain the final detection result. The multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, angle of flatness, loose density and tapped density. Evaluation module 32 is used to output the flowability evaluation result of the tobacco particles based on the final detection result.

[0063] In one embodiment, optionally, the tobacco particles include wet-granulated tobacco particles for heated cigarettes, the particle size distribution of the tobacco particles being adapted to the requirements of the high-speed filling process for heated cigarettes, and the tobacco particles being prepared after wet granulation and drying.

[0064] In one embodiment, optionally, the detection module includes: The detection unit is used to perform multiple tests on each powder characteristic index to obtain multiple test results; The calculation unit is used to calculate the average value of the multiple test results corresponding to each powder characteristic index, so as to obtain the final test result.

[0065] In one embodiment, the difference angle may be the difference between the angle of repose and the angle of collapse.

[0066] In one embodiment, optionally, the evaluation module includes: The acquisition unit is used to acquire the threshold value corresponding to the multi-dimensional powder characteristic index when the multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, and angle of flatness. The first determining unit is configured to determine that the tobacco particles have good flowability in response to the final detection result being less than or equal to the index threshold. The calculation unit is used to calculate the compressibility based on the loose density and the tapped density when the multi-dimensional powder characteristic index includes loose density and tapped density. The second determining unit is used to determine that the tobacco particles have good flowability in response to the compression degree being less than or equal to a preset compression degree.

[0067] In one embodiment, optionally, the tobacco particles are subjected to multi-dimensional powder characteristic index detection using an intelligent powder characteristic tester, and the device further includes: The settings module is used to set the corresponding detection parameters for each powder characteristic index; The detection parameters corresponding to the angle of repose, the angle of collapse, and the loose packing density include feeding time and feeding speed; The detection parameters corresponding to the tapped density include the tapping frequency and the number of taps.

[0068] In one embodiment, optionally, the apparatus further includes: The output module is used to output adjustment suggestions for wet granulation process parameters based on the flowability evaluation results, wherein the adjustment suggestions include at least one of the following: the amount of binder and the direction of optimization of the drying curve.

[0069] Based on the above, Figure 1 The method shown, and Figure 3In order to achieve the above objectives, the present application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described method for detecting the powder characteristics of tobacco particles.

[0070] Based on the above, Figure 1 Accordingly, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method for detecting the powder characteristics of tobacco particles.

[0071] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, or portable hard drive) and includes several instructions to cause a computer device (such as a personal computer, server, or network device) to execute the methods described in the various implementation scenarios of this application.

[0072] Based on the above, Figure 1 Accordingly, this application also provides a storage medium storing a computer program, which, when executed by a processor, implements the above-described method. Figure 1 The method for detecting the powder characteristics of tobacco particles is shown.

[0073] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, or portable hard drive) and includes several instructions to cause a computer device (such as a personal computer, server, or network device) to execute the methods described in the various implementation scenarios of this application.

[0074] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0075] It should be understood that although the terms "first," "second," etc., may be used to describe the setting units in the embodiments of this application, these setting units should not be limited to these terms. These terms are only used to distinguish the setting units from each other. For example, without departing from the scope of the embodiments of this application, the first setting unit may also be referred to as the second setting unit, and similarly, the second setting unit may also be referred to as the first setting unit.

[0076] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0077] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus 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 coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0078] 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 unit can be implemented in hardware or in a combination of hardware and software functional units.

[0079] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0080] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for detecting the powder characteristics of tobacco particles, characterized in that, include: Tobacco particles are subjected to multi-dimensional powder characteristic index testing to obtain the final test results. The multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, angle of flatness, loose density, and tapped density. Based on the final test results, the flowability evaluation results of the tobacco particles are output.

2. The method according to claim 1, characterized in that, The tobacco particles include wet-granulated tobacco particles for heated cigarettes. The particle size distribution of the tobacco particles is adapted to the requirements of the high-speed filling process of heated cigarettes, and the tobacco particles are prepared by wet granulation and drying.

3. The method according to claim 1, characterized in that, Tobacco particles were subjected to multi-dimensional powder characteristic index testing to obtain the final test results, including: Each powder characteristic index was tested multiple times to obtain multiple test results; The average value of the multiple test results corresponding to each powder characteristic index is calculated to obtain the final test result.

4. The method according to claim 1, characterized in that, The difference angle is the difference between the angle of repose and the angle of collapse.

5. The method according to claim 1, characterized in that, Based on the final test results, the flowability evaluation results of the tobacco particles are output, including: When the multi-dimensional powder characteristic index includes at least one of the following: angle of repose, angle of collapse, angle of difference, and angle of flatness, obtain the index threshold corresponding to the powder characteristic index; In response to the final detection result being less than or equal to the index threshold, it is determined that the tobacco particles have good flowability; When the multi-dimensional powder characteristic index includes loose packing density and tapped density, the compressibility is calculated based on the loose packing density and tapped density. In response to the compression being less than or equal to a preset compression, it is determined that the tobacco particles have good flowability.

6. The method according to claim 1, characterized in that, The method further includes: detecting multi-dimensional powder property indicators of tobacco particles using an intelligent powder property tester. Set corresponding detection parameters for each powder characteristic index; The detection parameters corresponding to the angle of repose, the angle of collapse, and the loose packing density include feeding time and feeding speed; The detection parameters corresponding to the tapped density include the tapping frequency and the number of taps.

7. The method according to any one of claims 1 to 6, characterized in that, The method further includes: Based on the flowability evaluation results, suggestions for adjusting the wet granulation process parameters are provided, wherein the adjustment suggestions include at least one of the following: the direction of optimization of binder dosage and drying curve.

8. A device for detecting the powder characteristics of tobacco particles, characterized in that, include: The detection module is used to detect multi-dimensional powder characteristic indicators of tobacco particles to obtain the final detection result. The multi-dimensional powder characteristic indicators include at least one of the following: angle of repose, angle of collapse, angle of difference, angle of flatness, loose density and tapped density. The evaluation module is used to output the flowability evaluation result of the tobacco particles based on the final detection result.

9. A computer device, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, the instructions being configured to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The device stores computer-executable instructions for performing the method as described in any one of claims 1 to 7.

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