Methods, apparatus, electronic devices and storage media for assessing the stability of cigarette rolling

Abstract

This invention discloses a method, apparatus, electronic device, and storage medium for evaluating the rolling stability of cigarettes. It involves acquiring multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches within the same cigarette rolling machine; processing these samples using a multi-sample tobacco heat treatment online analyzer under a second preset environment to determine the weight loss curves of the multiple cigarette samples; calculating the differential weight loss curves corresponding to each weight loss curve, and determining the differential weight loss standard deviation based on the differential weight loss curves; determining the mean of the differential weight loss standard deviations based on the differential weight loss standard deviations of all cigarette samples; and determining the rolling stability level of the multiple cigarette samples based on the mean of the differential weight loss standard deviations and a preset range. This achieves efficient, accurate, and objective judgment of the cigarette rolling stability level, which is beneficial for subsequent evaluation of cigarette product rolling quality and thus guides the adjustment of cigarette rolling parameters.

Description

Technical Field

[0001] This invention relates to the field of cigarette manufacturing technology, and in particular to a method, apparatus, electronic device, and storage medium for evaluating the stability of cigarette rolling. Background Technology

[0002] The rolling stability of cigarettes is one of the key factors affecting the consistency of the smoking experience of cigarette products.

[0003] Currently, the evaluation of cigarette rolling stability mainly relies on the detection and data analysis of numerous indicators, including cigarette weight, circumference, length, hardness, draw resistance, ventilation rate, end-burst rate, and end content. Due to the large number of evaluation indicators, relying solely on the mean, standard deviation, and other statistical calculations of these individual indicators makes it difficult to quickly, objectively, and accurately assess cigarette rolling stability. However, these indicators are key factors affecting cigarette quality and heat transfer during the smoking process. Therefore, detecting and evaluating the thermal conversion stability of cigarettes during heating can effectively quantify the filling of tobacco shreds in the cigarette paper, thereby evaluating cigarette rolling quality. Based on this, the assessment and judgment of cigarette rolling stability is crucial. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for evaluating the stability of cigarette rolling, enabling efficient, accurate, and objective judgment of the stability level of cigarette rolling, which is beneficial for subsequent quality control of cigarette products and adjustment of cigarette rolling parameters.

[0005] According to one aspect of the present invention, a method for evaluating the stability of cigarette rolling is provided, the method comprising:

[0006] Obtain multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine;

[0007] Based on the online analyzer for multi-sample tobacco heat treatment, multiple cigarette samples are processed according to the second preset environment to determine the weight loss curves of multiple cigarette samples;

[0008] Calculate the differential weight loss curve corresponding to each weight loss curve, and determine the differential weight loss standard deviation based on the differential weight loss curve; wherein, the number of differential weight loss standard deviations is consistent with the number of cigarette samples;

[0009] The mean of the differential weight loss standard deviation is determined based on the differential weight loss standard deviation of all cigarette samples;

[0010] Based on the mean of the differential weight loss standard deviation and the preset range, the rolling stability level of multiple cigarette samples was determined.

[0011] According to another aspect of the present invention, an apparatus for evaluating the rolling stability of cigarettes is provided, the apparatus comprising:

[0012] The cigarette sample acquisition module is used to acquire multiple cigarette samples from different cigarette rolling machines within the same batch or between batches of the same cigarette rolling machine.

[0013] The weight loss curve determination module is used to process multiple cigarette samples according to a second preset environment using a multi-sample tobacco heat treatment online analyzer to determine the weight loss curve of the multiple cigarette samples.

[0014] The differential weight loss standard deviation determination module is used to calculate the differential weight loss curve corresponding to each weight loss curve, and determine the differential weight loss standard deviation based on the differential weight loss curve; wherein, the number of differential weight loss standard deviations is consistent with the number of cigarette samples;

[0015] The standard deviation mean determination module is used to determine the mean of the differential weight loss standard deviation based on the differential weight loss standard deviation of all cigarette samples;

[0016] The rolling stability level determination module is used to determine the rolling stability level of multiple cigarette samples based on the mean of the differential weight loss standard deviation and a preset range.

[0017] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0018] At least one processor; and

[0019] A memory that is communicatively connected to at least one processor; wherein,

[0020] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the method for evaluating the cigarette rolling stability according to any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement a method for evaluating the stability of cigarette rolling according to any embodiment of the present invention.

[0022] The technical solution of this invention involves acquiring multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches within the same cigarette rolling machine. These samples are then processed using a multi-sample tobacco heat treatment online analyzer under a second preset environment to obtain weight loss curves. Subsequently, a corresponding differential weight loss curve is calculated based on the weight loss curves to more intuitively and accurately observe the trend of weight loss changes. Furthermore, the differential weight loss standard deviation is determined based on the differential weight loss curves, and the mean of the differential weight loss standard deviations for all cigarette samples is used to determine the corresponding mean. Therefore, based on the mean of the differential weight loss standard deviations and a preset range, the rolling stability level of multiple cigarette samples is determined. This invention simplifies multiple cigarette rolling stability evaluation indicators into one, achieving efficient, accurate, and objective judgment of the cigarette rolling stability level, which is beneficial for subsequent quality control of cigarette products and adjustment of cigarette rolling parameters.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a method for evaluating the rolling stability of cigarettes according to an embodiment of the present invention;

[0026] Figure 2 This is a schematic diagram of the online analyzer for multi-sample tobacco heat treatment provided in an embodiment of the present invention;

[0027] Figure 3 This is a flowchart of a method for evaluating the rolling stability of cigarettes according to an embodiment of the present invention;

[0028] Figure 4 This is an example diagram of the differential weight loss curves corresponding to the three cigarette samples in the first group provided in this embodiment of the invention;

[0029] Figure 5 This is an example diagram of the differential weight loss curves corresponding to the three cigarette samples in the second group provided in this embodiment of the invention;

[0030] Figure 6 This is an example diagram of the differential weight loss curves corresponding to the three cigarette samples in the third group provided in this embodiment of the invention;

[0031] Figure 7 This is an example diagram of the differential weight loss curves corresponding to the three cigarette samples in the fourth group provided in this embodiment of the invention;

[0032] Figure 8 This is a structural diagram of an evaluation device for the rolling stability of cigarettes provided in an embodiment of the present invention;

[0033] Figure 9 This is a schematic diagram of the structure of an electronic device for implementing the method for evaluating the stability of cigarette rolling according to embodiments of the present invention. Detailed Implementation

[0034] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0035] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0036] Example 1

[0037] Figure 1 This is a flowchart of a method for evaluating the rolling stability of cigarettes according to Embodiment 1 of the present invention. This embodiment is applicable to situations where multiple cigarette samples are processed using a multi-sample tobacco heat treatment analyzer, and the corresponding weight loss curves and differential weight loss curves are determined. The mean of the differential weight loss standard deviation is calculated based on the differential weight loss curves to determine the cigarette rolling stability level. This method can be executed by a cigarette rolling stability evaluation device, which can be implemented in hardware and / or software. This cigarette rolling stability evaluation device can be configured in electronic devices such as mobile phones, computers, or servers. Figure 1 As shown, the method includes:

[0038] S110. Obtain multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine.

[0039] During tobacco production, the rolling stability of cigarettes varies between different cigarette rolling machines and between different batches. Therefore, when analyzing the rolling stability of cigarettes, it is possible to select cigarettes from different rolling machines within the same batch or from different batches within the same rolling machine for analysis to determine the rolling stability of the corresponding cigarettes. Specifically, the selected cigarettes can be pre-treated with specific temperature, humidity, or other methods to ensure the consistency of the cigarette samples. The treated cigarettes then constitute the cigarette samples.

[0040] Specifically, variations in temperature, humidity, and other factors in different environments can lead to differences in cigarette quality and other indicators. Therefore, cigarettes can be pre-treated to obtain cigarette samples. Simultaneously, cigarette samples from different rolling machines within the same batch can be selected to analyze the rolling stability of samples from different rolling machines. Alternatively, cigarette samples from different batches on the same rolling machine can be selected to analyze the rolling stability of such samples. Furthermore, to ensure the accuracy of the judgment on the rolling stability of cigarette samples, multiple cigarette samples can be selected to reduce the impact of errors. For example, for ease of observation and judgment, there can be three or more cigarette samples; this embodiment does not impose any limitations on this.

[0041] It should be noted that since this assessment focuses on the rolling stability of the cigarette, and does not involve the filter, the cigarette sample can be the remaining tobacco shreds, including the rolling paper, after removing the filter rod. During the removal of the filter rod, care should be taken to avoid excessive pressure on the tobacco shreds to prevent damaging the initial rolling state of the cigarette.

[0042] S120. Based on the online analyzer for multi-sample tobacco heat treatment, multiple cigarette samples are processed according to the second preset environment to determine the weight loss curves of multiple cigarette samples.

[0043] In this embodiment of the invention, the multi-sample tobacco heat treatment online analyzer is a macro-thermogravimetric device for heat-treating and analyzing tobacco samples. It includes a data storage and export module, a temperature control module, a weighing module, an automatic sample introduction module, and a carrier gas module. A physical image of the multi-sample tobacco heat treatment online analyzer can be seen as follows: Figure 2 As shown. Figure 2In the diagram, ①, ②, ③, ④, and ⑤ correspond to the data storage and export module, temperature control module, weighing module, automatic sample introduction module, and carrier gas module in the analyzer, respectively. The data storage and export module stores and exports the weight loss data of the cigarette samples; the temperature control module performs heat treatment on the cigarette samples; the weighing module measures and calculates the mass change of the cigarette samples; and the automatic sample introduction module uses automated devices to introduce the cigarette samples into the analyzer, improving the processing efficiency. The carrier gas module controls the gas in the environment where the cigarette samples are heat-treated. The gas in the carrier gas module can be an inert gas such as nitrogen, or a mixture of gases with a certain oxygen concentration. The second preset environment can be the environment in which the cigarette samples are experimentally processed. This second preset environment can be a constant temperature environment or a heated environment. Other factors, such as gases, may also be included in the second preset environment, but this embodiment does not impose limitations on them. The weight loss curve can be understood as the relationship curve between the mass of the cigarette sample and time or temperature under pre-set environmental conditions according to actual needs.

[0044] Specifically, after obtaining the cigarette samples, the automatic sample introduction function of the multi-sample tobacco heat treatment online analyzer can be used to test multiple cigarette samples separately. The cigarette samples can be placed in a second preset environment with constant temperature or rising temperature for processing. The mass change curve of each cigarette sample with time or temperature can be judged to obtain the weight loss curve of each cigarette sample.

[0045] S130. Calculate the differential weight loss curve corresponding to each weight loss curve, and determine the differential weight loss standard deviation based on the differential weight loss curve.

[0046] The number of differential weight loss standard deviations is consistent with the number of cigarette samples.

[0047] In this embodiment of the invention, to more clearly observe and determine the degree of weight loss of the cigarette sample, the weight loss curve can be processed to plot a corresponding curve representing the weight loss rate of the cigarette sample, namely, the differential weight loss curve. The differential weight loss standard deviation can be calculated from the differential weight loss curve and is used to represent the dispersion of the differential weight loss curve.

[0048] Specifically, since the initial mass of different cigarette samples may vary, to ensure the rolling stability of cigarette samples is judged under the same standard, the mass of the cigarette samples can first be normalized based on the weight loss curve, that is, the weight loss curve of the cigarette sample can be converted into a weight loss percentage curve of the cigarette sample. The weight loss percentage curve represents the change in the mass percentage of the cigarette sample with time or temperature. Therefore, the derivative of the weight loss percentage curve is obtained to obtain the corresponding differential weight loss curve. Then, in each differential weight loss curve, some data points can be selected according to actual needs to calculate the mean data corresponding to multiple differential weight loss curves. And based on the data points corresponding to each differential weight loss curve and the mean data, the differential weight loss standard deviation corresponding to each differential weight loss curve is calculated. Since each differential weight loss curve corresponds to the weight loss rate change trend of a cigarette sample, the number of differential weight loss standard deviations is consistent with the number of cigarette samples.

[0049] Optionally, the differential weight loss curve corresponding to each weight loss curve is determined, and the differential weight loss standard deviation is determined based on the differential weight loss curve. This includes: taking the derivative of the function corresponding to the weight loss curve to obtain the differential weight loss curve; for each differential weight loss curve, obtaining the numerical information corresponding to multiple key points in the current differential weight loss curve, and processing the numerical information to obtain the differential weight loss mean; and determining the differential weight loss standard deviation based on the weight loss mean of each differential weight loss curve and the corresponding numerical information.

[0050] In this embodiment of the invention, since the differential weightlessness curve contains many data points, each with its corresponding numerical information, multiple data points can be selected as key points. The numerical information corresponding to these key points is then used to determine the subsequent mean and standard deviation. These key points can be the start and end points of the differential weightlessness curve, inflection points, extreme points, or other data points; this embodiment does not impose any limitations on this. The mean weightlessness can be calculated using the numerical information of multiple key points corresponding to multiple differential weightlessness curves.

[0051] Specifically, to ensure the stability of cigarette samples during rolling is judged under the same standard, the obtained weight loss curves can first be normalized, that is, normalized to weight loss percentage curves. The weight loss percentage curve represents the change in the mass percentage of the cigarette sample over time or temperature. Then, the first derivative of the function corresponding to the weight loss percentage curve is performed to obtain the corresponding differential weight loss curve. Since there are multiple cigarette samples, there are multiple weight loss curves, and correspondingly multiple differential weight loss curves. Multiple differential weight loss curves can be obtained through the above method. Then, in each differential weight loss curve, multiple key points can be selected according to actual needs, and the numerical information corresponding to each key point can be determined, thereby calculating the mean of multiple differential weight loss curves, i.e., the differential weight loss mean. Based on the numerical information corresponding to the key points of each differential weight loss curve and the mean data, the differential weight loss standard deviation corresponding to each differential weight loss curve is calculated.

[0052] Optionally, the differential weight loss curve corresponding to each weight loss curve is calculated, and the differential weight loss standard deviation is determined based on the differential weight loss curve, including: normalizing the weight loss curve to obtain a normalized weight loss curve; differentiating the normalized weight loss curve to obtain a differential weight loss curve; determining the average curve of the differential weight loss curves based on each differential weight loss curve; and determining the differential weight loss standard deviation based on the differential weight loss curves and the average curve.

[0053] In this embodiment of the invention, the normalized weight loss curve can be understood as a weight loss curve that has been normalized, that is, processed to become a curve showing the change in the mass percentage of the cigarette sample over time or temperature, i.e., a weight loss mass percentage curve. After obtaining the normalized weight loss curve, its first derivative can be performed, i.e., differential differentiation of the normalized weight loss curve. The average curve can be understood as an average curve obtained by calculating the average value of the corresponding numerical points on each differential weight loss curve and connecting the average values.

[0054] Specifically, after obtaining the weightlessness curve, it can be normalized to a percentage weight loss curve. Then, the normalized weightlessness curve (i.e., the percentage weight loss curve) is differentiated to obtain a differential weightlessness curve. The average value of the corresponding points on each differential weightlessness curve is calculated, and these points are connected to obtain the average curve of the differential weightlessness curves. Finally, based on each differential weightlessness curve and the average curve, the differential weight loss standard deviation corresponding to each differential weightlessness curve is calculated.

[0055] S140. Based on the differential weight loss standard deviation of all cigarette samples, determine the mean of the differential weight loss standard deviation.

[0056] In this embodiment of the invention, the mean of the differential weight loss standard deviation can be obtained by averaging the differential weight loss standard deviations corresponding to all cigarette samples.

[0057] Specifically, the corresponding differential weight loss standard deviation is obtained based on the differential weight loss curves of all cigarette samples. The mean of all differential weight loss standard deviations is calculated to obtain the mean of differential weight loss standard deviations, which can then be used to evaluate the rolling stability of the cigarette samples.

[0058] Optionally, the mean of the differential weight loss standard deviation is determined based on the differential weight loss standard deviation of all cigarette samples, including: determining the mean of the differential weight loss standard deviation by averaging the differential weight loss standard deviations of all cigarette samples.

[0059] Specifically, by averaging the differential weight loss standard deviations corresponding to all obtained cigarette samples, we can obtain the average value of the differential weight loss standard deviations, which is the mean of the differential weight loss standard deviations.

[0060] S150. Based on the mean of the differential weight loss standard deviation and the preset range, determine the rolling stability level of multiple cigarette samples.

[0061] In this embodiment of the invention, the preset range can be the range of the mean standard deviation of differential weight loss of cigarette samples obtained through a large number of pre-tested experiments. The rolling stability level is a cigarette sample grade determined based on the preset range, wherein each rolling stability level corresponds to a corresponding preset range. For example, according to different preset ranges, the rolling stability level of cigarette samples can be divided into four levels: excellent, good, average, and poor.

[0062] Specifically, the range of the mean standard deviation of differential weight loss for cigarette samples can be obtained through numerous pre-conducted tests, i.e., a preset range. Then, based on the obtained mean standard deviation of differential weight loss, the corresponding preset range is determined, and thus the rolling stability level of the cigarette sample is determined according to the preset range corresponding to the cigarette sample. Since each cigarette sample can be judged using the above method, it will not be elaborated further here. Based on the above method, the rolling stability level corresponding to multiple cigarette samples can be obtained.

[0063] Optionally, the rolling stability level of multiple cigarette samples can be determined based on the mean of the differential weight loss standard deviation and a preset range, including: determining the rolling stability level of multiple cigarette samples within the same batch but on different cigarette rolling machines or between different batches on the same cigarette rolling machine, based on the mean of the differential weight loss standard deviation and a preset range.

[0064] Specifically, the rolling stability of cigarette samples is determined based on a preset range corresponding to the cigarette samples. Since multiple cigarette samples correspond to different cigarette rolling machines within the same batch or different batches of the same cigarette rolling machine, the overall rolling stability level of these cigarette samples can be determined based on the overall rolling stability level of the multiple cigarette samples, thereby achieving the evaluation of the rolling stability level of all cigarettes from different cigarette rolling machines within the same batch or different batches of the same cigarette rolling machine.

[0065] The technical solution of this embodiment involves acquiring multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches within the same cigarette rolling machine. These samples are then processed using a multi-sample tobacco heat treatment online analyzer under a second preset environment to obtain the weight loss curves of the corresponding cigarette samples. Subsequently, a corresponding differential weight loss curve is calculated based on the weight loss curves to more intuitively and accurately observe the trend of weight loss changes. Furthermore, the differential weight loss standard deviation is determined based on the differential weight loss curves, and the mean of the differential weight loss standard deviations is determined using the differential weight loss standard deviations of all cigarette samples. Therefore, based on the mean of the differential weight loss standard deviations and a preset range, the rolling stability level of multiple cigarette samples is determined. This invention simplifies multiple previous cigarette rolling stability evaluation indicators into one, achieving efficient, accurate, and objective judgment of the cigarette rolling stability level, which is beneficial for subsequent control of cigarette product quality and adjustment of cigarette rolling parameters.

[0066] Example 2

[0067] Figure 3 This is a flowchart of a method for evaluating the rolling stability of cigarettes according to Embodiment 2 of the present invention. This embodiment, based on the above embodiments, requires further processing of the finished cigarettes before obtaining multiple cigarette samples. Based on this, the technical solution of Embodiment 1 is implemented. Specific implementation details can be found in the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here. Figure 3 As shown, the method includes:

[0068] S210. Obtain multiple finished cigarettes from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine.

[0069] During the cigarette rolling process, the rolling stability of cigarettes varies between different cigarette rolling machines and between different batches. Therefore, when analyzing the rolling stability of cigarettes, it is possible to select cigarettes from different cigarette rolling machines within the same batch or between batches from the same cigarette rolling machine for analysis to determine the rolling stability of the corresponding cigarettes. The selected cigarettes are the finished cigarettes.

[0070] Specifically, based on actual needs, the appropriate cigarette rolling machine and batch can be selected from multiple cigarette rolling machines and batches, and multiple cigarettes from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine can be obtained as finished cigarettes.

[0071] S220. Place the finished cigarette sticks in a first preset environment for a preset time to obtain a cigarette stick sample.

[0072] In this embodiment of the invention, the first preset environment can be a constant temperature and humidity environment pre-set according to actual needs. After obtaining the finished cigarettes, the finished cigarettes can be left to stand in the preset environment for a period of time according to actual needs, wherein the standing time is the preset duration, and the cigarettes after standing can be cigarette samples. For example, the preset duration can be 48 hours.

[0073] Specifically, after obtaining the finished cigarettes, they can be placed in a constant temperature and humidity environment for equilibration. This means the finished cigarettes can be left to stand in a first preset environment to obtain cigarette samples. The constant temperature and humidity equilibration environment can be achieved using a constant temperature and humidity chamber.

[0074] Optionally, the first preset environment includes a first constant temperature and constant humidity environment, and the second preset environment includes at least two types. The second preset environment includes a second constant temperature environment and a preset gas filled with a preset carrier gas flow rate; or, the second preset environment is an environment that is heated to the second constant temperature at a constant heating rate and filled with a preset gas filled with a preset carrier gas flow rate.

[0075] In this embodiment of the invention, the first constant temperature can be a temperature set according to actual needs. The constant humidity can be a humidity set according to actual needs. The second constant temperature can be the temperature at which the cigarette sample is heat-treated. The preset carrier gas flow rate can be the rate at which a preset gas is filled in the second preset environment. The preset gas can be an inert gas such as nitrogen, or a mixed gas with a certain oxygen concentration. The constant heating rate can be the rate at which the temperature is raised in the second preset environment.

[0076] Specifically, after obtaining the finished cigarettes, they can be left to stand in a first constant temperature and humidity environment for a preset time. The resulting cigarettes are cigarette samples. Then, the cigarette samples can be processed using a multi-sample tobacco heat treatment online analyzer in a second constant temperature environment filled with a preset carrier gas flow rate to obtain the weight loss curve of the cigarette samples. During the processing in the above environment, the constant temperature treatment can be achieved by holding the cigarette samples at the second constant temperature for a period of time. Alternatively, the cigarette samples can be processed in an environment where the temperature is increased to the second constant temperature at a constant rate and the preset carrier gas flow rate is used to obtain the weight loss curve of the cigarette samples. During the processing in the above environment, the temperature treatment can be achieved by increasing the temperature of the cigarette samples to the second constant temperature at a constant rate and holding them at that temperature for a period of time. The holding time in both second preset environments can be set according to actual needs.

[0077] Optionally, in the first preset environment, the preset duration is 48 hours, the first constant temperature is 22℃, and the constant humidity is 60%; in the second preset environment, the second constant temperature is 600℃, the preset gas is nitrogen, the preset carrier gas flow rate is 400mL / min, and the constant heating rate is 20℃ / min.

[0078] For example, after obtaining the finished cigarettes, they can be left to stand for 48 hours in a first constant temperature environment of 22°C and a constant humidity of 60%. The resulting cigarettes are cigarette samples. Then, the cigarette samples can be processed using a multi-sample tobacco heat treatment online analyzer in a second constant temperature environment of 600°C and filled with nitrogen at a preset carrier gas flow rate of 400 mL / min to obtain the weight loss curve of the cigarette samples. Specifically, the constant temperature treatment in the above environment can be achieved by holding the cigarette samples at 600°C for 5 minutes. Alternatively, the cigarette samples can be processed in an environment where the temperature is increased to 600°C at a rate of 20°C / min and filled with nitrogen at a preset carrier gas flow rate of 400 mL / min to obtain the weight loss curve of the cigarette samples. In the above environment, the temperature treatment can be achieved by increasing the temperature of the cigarette samples to 600°C at a rate of 20°C / min and holding at that temperature for 10 minutes.

[0079] S230. Obtain multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine.

[0080] For example, following the above example, after processing the finished cigarettes, three cigarette samples from four sets of preparation parameters and batches can be selected for further processing. The preparation parameters and batches can differ between groups, but are identical within each group; that is, the cigarette samples within each group are three cigarette samples from the same preparation parameters and batch. Specifically, we can use 1# to represent the first group, 2# to represent the second group, 3# to represent the third group, and 4# to represent the fourth group. The three cigarette samples within a group can be represented by the numbers 1, 2, and 3. For instance, the three cigarette samples in the first group can be represented as 1#-1, 1#-2, and 1#-3; the three cigarette samples in the second group can be represented as 2#-1, 2#-2, and 2#-3; the three cigarette samples in the third group can be represented as 3#-1, 3#-2, and 3#-3; and the three cigarette samples in the fourth group can be represented as 4#-1, 4#-2, and 4#-3.

[0081] S240. Based on the online analyzer for multi-sample tobacco heat treatment, multiple cigarette samples are processed according to the second preset environment to determine the weight loss curves of multiple cigarette samples.

[0082] For example, in conjunction with the above example, cigarette samples were obtained by processing them in an environment with a constant temperature of 600℃ and a nitrogen filling rate of 400 mL / min using a multi-sample tobacco heat treatment online analyzer. Specifically, the constant temperature treatment in this environment can be achieved by holding the cigarette samples at 600℃ for 5 minutes. The weight loss curve for each cigarette sample during this 5-minute holding period at 600℃ can then be collected using the multi-sample tobacco heat treatment online analyzer.

[0083] S250. Calculate the differential weight loss curve corresponding to each weight loss curve, and determine the differential weight loss standard deviation based on the differential weight loss curve.

[0084] The number of differential weight loss standard deviations corresponds to the number of cigarette samples.

[0085] For example, referring to the above example, after obtaining the weight loss curve corresponding to each cigarette sample, the weight loss curve can be normalized to obtain the weight loss percentage curve. Furthermore, the first derivative of the weight loss percentage curve is taken to obtain the differential weight loss curve corresponding to the cigarette sample. Therefore, in the above example, the schematic diagram of the differential weight loss curves corresponding to the three cigarette samples in the first group can be shown as follows: Figure 4 As shown in the diagram, the differential weight loss curves corresponding to the three cigarette samples in the second group can be illustrated as follows: Figure 5 As shown in the diagram, the differential weight loss curves corresponding to the three cigarette samples in the third group can be illustrated as follows: Figure 6 As shown in the diagram, the differential weight loss curves corresponding to the three cigarette samples in the fourth group can be illustrated as follows: Figure 7 As shown. Figure 4 For example, Figure 4 The DTG curve (Differential thermogravimetric curve) in the image is the differential weight loss curve. Figure 4 The vertical axis represents the percentage of weightlessness, and the horizontal axis represents time, with the unit of time being 0.5 seconds. Figures 5 to 7 and Figure 4 The representation method is the same, so it will not be repeated here.

[0086] S260. Based on the differential weight loss standard deviation of all cigarette samples, determine the mean of the differential weight loss standard deviation.

[0087] For example, based on the above example, the rolling stability of cigarette samples can be judged by the degree of concentration or dispersion of the differential weight loss curves corresponding to the cigarette samples. That is, the rolling stability can be judged by the mean of the differential weight loss standard deviations corresponding to the cigarette samples. First, the differential weight loss standard deviations of the differential weight loss curves corresponding to the three cigarette samples in the four groups can be calculated, and the corresponding results are shown in Table 1. Then, the mean of the differential weight loss standard deviations of the three cigarette samples can be calculated, where the mean of the differential weight loss standard deviations is the average value in Table 1.

[0088] Table 1 Evaluation of the rolling stability of four groups of cigarette samples

[0089] serial number 1 2 3 average value grade 1# 1.92E-02 1.66E-02 3.52E-02 2.36E-02 middle 2# 3.08E-02 7.14E-03 3.61E-02 2.47E-02 middle 3# 1.05E-02 7.91E-03 3.78E-03 7.40E-03 good 4# 3.82E-03 3.43E-03 5.14E-03 4.13E-03 excellent

[0090] S270. Based on the mean of the differential weight loss standard deviation and the preset range, determine the rolling stability level of multiple cigarette samples.

[0091] For example, in conjunction with the above example, the rolling stability level of a cigarette sample is judged based on the numerical range of the mean of the differential weight loss standard deviation. The numerical range can be: a mean differential weight loss standard deviation less than 5.0E-03 corresponds to an excellent rolling stability level; a mean differential weight loss standard deviation between 5.0E-03 and 1.0E-02 corresponds to a good rolling stability level; a mean differential weight loss standard deviation between 1.0E-02 and 3.0E-02 corresponds to a medium rolling stability level; and a mean differential weight loss standard deviation greater than or equal to 3.0E-02 corresponds to a poor rolling stability level. Based on the mean of the differential weight loss standard deviation of the cigarette samples, the cigarette samples of the first group and the second group, namely 1# and 2# in Table 1, can be determined to have a medium rolling stability level, a good rolling stability level, and an excellent rolling stability level.

[0092] The technical solution of this embodiment obtains multiple finished cigarettes from different cigarette rolling machines within the same batch or from different batches within the same cigarette rolling machine. These finished cigarettes are then left to stand in a first preset environment for a preset time to obtain cigarette samples. This reduces the impact of other factors on the rolling stability of the cigarette samples, ensuring consistency. Subsequently, a multi-sample tobacco heat treatment online analyzer is used to process the multiple cigarette samples according to a second preset environment to obtain the weight loss curves of the corresponding cigarette samples. Based on the weight loss curves, a corresponding differential weight loss curve is determined to more intuitively and accurately observe the trend of weight loss changes. Furthermore, the differential weight loss standard deviation is determined based on the differential weight loss curves, and the mean of the differential weight loss standard deviation is determined using the differential weight loss standard deviations of all cigarette samples. Therefore, based on the mean of the differential weight loss standard deviations and a preset range, the rolling stability level of the multiple cigarette samples is determined. This invention simplifies multiple cigarette rolling stability evaluation indicators into one, enabling efficient, accurate, and objective judgment of cigarette rolling stability levels. This is beneficial for subsequent quality control of cigarette products and adjustment of cigarette rolling parameters.

[0093] Example 3

[0094] Figure 8 This is a schematic diagram of the structure of an evaluation device for the rolling stability of cigarettes provided in Embodiment 3 of the present invention. Figure 8 As shown, the device includes: a cigarette sample acquisition module 310, a weight loss curve determination module 320, a differential weight loss standard deviation determination module 330, a standard deviation mean determination module 340, and a rolling stability level determination module 350.

[0095] The cigarette sample acquisition module 310 is used to acquire multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches within the same cigarette rolling machine; the weight loss curve determination module 320 is used to process multiple cigarette samples according to a second preset environment using a multi-sample tobacco heat treatment online analyzer to determine the weight loss curves of multiple cigarette samples; the differential weight loss standard deviation determination module 330 is used to calculate the differential weight loss curve corresponding to each weight loss curve and determine the differential weight loss standard deviation based on the differential weight loss curve; wherein, the number of differential weight loss standard deviations is consistent with the number of cigarette samples; the standard deviation mean determination module 340 is used to determine the mean of the differential weight loss standard deviations based on the differential weight loss standard deviations of all cigarette samples; and the rolling stability level determination module 350 is used to determine the rolling stability level of multiple cigarette samples based on the mean of the differential weight loss standard deviations and a preset range.

[0096] The technical solution of this embodiment involves acquiring multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches within the same cigarette rolling machine. These samples are then processed using a multi-sample tobacco heat treatment online analyzer under a second preset environment to obtain the weight loss curves of the corresponding cigarette samples. Subsequently, a corresponding differential weight loss curve is calculated based on the weight loss curves to more intuitively and accurately observe the trend of weight loss changes. Furthermore, the differential weight loss standard deviation is determined based on the differential weight loss curves, and the mean of the differential weight loss standard deviations is determined using the differential weight loss standard deviations of all cigarette samples. Therefore, based on the mean of the differential weight loss standard deviations and a preset range, the rolling stability level of multiple cigarette samples is determined. This invention simplifies multiple cigarette rolling stability evaluation indicators into one, achieving efficient, accurate, and objective judgment of the cigarette rolling stability level, which is beneficial for subsequent quality control of cigarette products and adjustment of cigarette rolling parameters.

[0097] Optionally, based on the above embodiments, the device further includes a finished cigarette processing module, which includes: a finished cigarette acquisition unit for acquiring multiple finished cigarettes from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine; and a cigarette sample acquisition unit for placing the finished cigarettes in a first preset environment for a preset time to obtain a cigarette sample.

[0098] Optionally, in the weight loss curve determination module and the finished cigarette processing module, the first preset environment includes a first constant temperature and constant humidity environment, and the second preset environment includes at least two types. The second preset environment includes a second constant temperature environment and a preset gas filled with a preset carrier gas flow rate; or, the second preset environment is an environment that is heated to the second constant temperature at a constant heating rate and filled with a preset gas filled with a preset carrier gas flow rate.

[0099] Optionally, the differential weight loss standard deviation determination module includes: a weight loss curve normalization unit, used to normalize the weight loss curve to obtain a normalized weight loss curve; a differential weight loss curve acquisition unit, used to perform differential differentiation on the normalized weight loss curve to obtain a differential weight loss curve; an average curve determination unit, used to determine the average curve of the differential weight loss curves based on each differential weight loss curve; and a differential weight loss standard deviation determination unit, used to determine the differential weight loss standard deviation based on the differential weight loss curves and the average curve.

[0100] Optionally, a standard deviation mean determination module is used to determine the mean of the differential weight loss standard deviation by averaging the differential weight loss standard deviations of all cigarette samples.

[0101] Optionally, a rolling stability level determination module is used to determine the rolling stability level of multiple cigarette samples within the same batch of different cigarette rolling machines or between different batches of the same cigarette rolling machine, based on the mean of the differential weight loss standard deviation and a preset range.

[0102] Optionally, in the weight loss curve determination module and the finished cigarette processing module, in the first preset environment, the preset duration is 48 hours, the first constant temperature is 22℃, and the constant humidity is 60%; in the second preset environment, the second constant temperature is 600℃, the preset gas is nitrogen, the preset carrier gas flow rate is 400mL / min, and the constant heating rate is 20℃ / min.

[0103] The cigarette rolling stability evaluation device provided in this embodiment of the invention can execute the cigarette rolling stability evaluation method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0104] Example 4

[0105] Figure 9 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0106] like Figure 9 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0107] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0108] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for evaluating the stability of cigarette rolling.

[0109] In some embodiments, the method for evaluating cigarette rolling stability can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for evaluating cigarette rolling stability described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for evaluating cigarette rolling stability by any other suitable means (e.g., by means of firmware).

[0110] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0111] Computer programs used to implement the method for evaluating the cigarette rolling stability of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer programs can be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0112] Example 5

[0113] Embodiment 5 of the present invention also provides a computer-readable storage medium storing computer instructions for causing a processor to execute a method for evaluating the stability of cigarette rolling, the method comprising:

[0114] Multiple cigarette samples are obtained from different cigarette rolling machines within the same batch or from different batches within the same cigarette rolling machine. These samples are then processed using a multi-sample tobacco heat treatment online analyzer according to a second preset environment to determine the weight loss curves of the multiple cigarette samples. The differential weight loss curves corresponding to each weight loss curve are calculated, and the differential weight loss standard deviation is determined based on these curves. The number of differential weight loss standard deviations is consistent with the number of cigarette samples. The mean of the differential weight loss standard deviations is determined based on the differential weight loss standard deviations of all cigarette samples. Finally, the rolling stability level of the multiple cigarette samples is determined based on the mean of the differential weight loss standard deviations and a preset range.

[0115] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0116] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0117] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0118] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0119] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0120] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for evaluating the stability of cigarette rolling, characterized in that, include: Obtain multiple cigarette samples from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine; Based on the multi-sample tobacco heat treatment online analyzer, the multiple cigarette samples are processed according to the second preset environment to determine the weight loss curves of the multiple cigarette samples; Calculate the differential weight loss curve corresponding to each weight loss curve, and determine the differential weight loss standard deviation based on the differential weight loss curve; wherein the number of differential weight loss standard deviations is consistent with the number of cigarette samples; The mean of the differential weight loss standard deviation is determined based on the differential weight loss standard deviation of all cigarette samples; Based on the mean of the differential weight loss standard deviation and the preset range, the rolling stability level of the multiple cigarette samples is determined; The calculation of the differential weight loss curve corresponding to each weight loss curve, and the determination of the differential weight loss standard deviation based on the differential weight loss curve, includes: The weightlessness curve is normalized to obtain a normalized weightlessness curve; The normalized weightlessness curve is differentiated to obtain the differential weightlessness curve; Based on each differential weightlessness curve, the average curve of the differential weightlessness curve is determined; wherein, the average curve is obtained by calculating the average value of the corresponding numerical points on each differential weightlessness curve and connecting the average values. Based on the differential weight loss curve and the average curve, the standard deviation of the differential weight loss is determined.

2. The method according to claim 1, characterized in that, Before obtaining multiple cigarette samples, the process also includes: To obtain multiple finished cigarettes from different cigarette rolling machines within the same batch or from different batches of the same cigarette rolling machine; The finished cigarette sticks are left to stand in a first preset environment for a preset time to obtain cigarette stick samples.

3. The method according to claim 2, characterized in that, The first preset environment includes a first constant temperature and constant humidity environment, and the second preset environment is a second constant temperature environment filled with a preset gas at a preset carrier gas flow rate; or, the second preset environment is an environment heated to the second constant temperature at a constant heating rate and filled with a preset gas at a preset carrier gas flow rate.

4. The method according to claim 1, characterized in that, The determination of the mean of the differential weight loss standard deviation based on the differential weight loss standard deviation of all cigarette samples includes: The mean of the differential weight loss standard deviation is determined by averaging the differential weight loss standard deviations of all cigarette samples.

5. The method according to claim 1, characterized in that, The determination of the rolling stability level of the multiple cigarette samples based on the mean of the differential weight loss standard deviation and a preset range includes: Based on the mean of the differential weight loss standard deviation and the preset range, the rolling stability level of the multiple cigarette samples is determined for different cigarette rolling machines within the same batch or for different batches of the same cigarette rolling machine.

6. The method according to claim 3, characterized in that, In the first preset environment, the preset duration is 48 hours, the first constant temperature is 22℃, and the constant humidity is 60%; in the second preset environment, the second constant temperature is 600℃, the preset gas is nitrogen, the preset carrier gas flow rate is 400 mL / min, and the constant heating rate is 20℃ / min.

7. An evaluation device for the stability of cigarette rolling, characterized in that, include: The cigarette sample acquisition module is used to acquire multiple cigarette samples from different cigarette rolling machines within the same batch or between batches of the same cigarette rolling machine. The weight loss curve determination module is used to process multiple cigarette samples according to a second preset environment based on a multi-sample tobacco heat treatment online analyzer, and determine the weight loss curve of the multiple cigarette samples. The differential weight loss standard deviation determination module is used to calculate the differential weight loss curve corresponding to each weight loss curve, and determine the differential weight loss standard deviation based on the differential weight loss curve; wherein, the number of differential weight loss standard deviations is consistent with the number of cigarette samples; The standard deviation mean determination module is used to determine the mean of the differential weight loss standard deviation based on the differential weight loss standard deviation of all cigarette samples; The rolling stability level determination module is used to determine the rolling stability level of the multiple cigarette samples based on the mean of the differential weight loss standard deviation and a preset range. The differential weight loss standard deviation determination module includes: a weight loss curve normalization unit, used to normalize the weight loss curve to obtain a normalized weight loss curve; a differential weight loss curve acquisition unit, used to perform differential differentiation on the normalized weight loss curve to obtain the differential weight loss curve; an average curve determination unit, used to determine the average curve of the differential weight loss curve based on each differential weight loss curve; wherein, the average curve is obtained by calculating the average value of corresponding numerical points on each differential weight loss curve and connecting the average values; and a differential weight loss standard deviation determination unit, used to determine the differential weight loss standard deviation based on the differential weight loss curve and the average curve.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for evaluating the cigarette rolling stability according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for evaluating the stability of cigarette rolling as described in any one of claims 1-6.

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