A method and device for detecting the moisture content of a cigarette filter rod

Abstract

The present application discloses a method and device for detecting the moisture content of a cigarette filter rod. The moisture content detection method includes: separately weighing the weight of the tow of the filter rod, the weight of the forming paper and the grooved paper, and the total weight; cutting the tow of the filter rod, the forming paper, the grooved paper, and the additive into pieces and placing them together in a metal test box, drying them in an oven at (100±2)°C for 2 h, and then calculating the weight loss of the filter rod; inputting the weight of the tow, the weight of the forming paper and the grooved paper, the total weight of the filter rod, and the weight loss into a detection model to obtain the fitted moisture content of the filter rod, and the difference between the fitted moisture content and the moisture content of the filter rod obtained by gas chromatography detection is within the standard range. The present application ensures a high detection accuracy while retaining the high detection efficiency and low detection cost of the oven method.

Description

Technical Field

[0001] The present application relates to the technical field of tobacco detection, and more specifically, to a method and device for detecting the moisture content of cigarette filter rods. Background Art

[0002] The moisture content of cigarettes is one of the important indicators of cigarette quality, which has an impact on the sensory quality, internal quality and storage safety of cigarettes. The filter tip is an important part of cigarettes. Theoretically, the transfer of moisture between the tobacco and the filter tip will affect the moisture content of cigarettes, and the degree of influence depends on the initial moisture content of the filter tip and the type of filter rod. In addition, the moisture content is also an important indicator of the physical properties of the filter rod. If the moisture content of the filter rod is too high, it will not only affect the moisture content of the mainstream smoke, but also the filter rod is prone to mildew during storage, and may also affect the performance of the hot melt adhesive at the joint, resulting in bursting. The national standard "GB / T5605-2011 Cellulose Acetate Filter Rods" stipulates a limit requirement of 8% (mass fraction) for the moisture content of filter rods. Therefore, the research on the moisture content of filter rods is of great significance for the quality and safety monitoring of cigarette products.

[0003] Regarding the determination of moisture content in the tobacco field, common detection methods include the Karl Fischer method, the oven (OV) method, and the gas chromatography (GC) method. At present, there are two standard methods for determining the moisture content in cigarette filter rods: "GB / T22838.8-2009 Determination of Physical Properties of Cigarettes and Filter Rods - Part 8: Moisture Content" (for the OV method) and "YC / T 568-2018 Determination of Moisture Content of Filter Rods - Gas Chromatography Method" (for the GC method).

[0004] The OV method stipulates that 10 filter rods are dried in an oven at (100±2)°C for 2 hours, and then the moisture content of the filter rods is determined by detecting the percentage of mass loss of the filter rods. The filter rod is composed of diacetate fiber tow, triacetin and forming paper, etc. Research shows that a large amount of triacetin will be released in the high-temperature environment of the OV method, resulting in a significantly higher detection result of the moisture content of the filter rod. It can be seen that although the oven method has the advantages of simple operation, low experimental configuration requirements, low detection cost and high test efficiency, the detection result cannot truly reflect the moisture content of the filter rod, and it is also easy to cause misjudgment of exceeding the standard in actual detection.

[0005] The GC method uses isopropanol as the solvent and acetonitrile as the internal standard, and uses a PoraPLOT Q capillary chromatographic column and a thermal conductivity detector (TCD) to detect the moisture content of the filter rod. Although the GC method has high detection throughput and automation degree, and the measurement result is reliable, compared with the OV method, the GC method not only requires a large gas chromatograph and a helium gas cylinder, the detection process is complex and a large amount of solvent is generated, but also there are many inconveniences for on-site detection in the workshop of cigarette production enterprises, and the detection efficiency and detection cost are also much higher than those of the OV method.

[0006] Therefore, there is an urgent need to find a method for detecting the moisture content of cigarette filter rods with high detection efficiency, low detection cost and high detection accuracy. Summary of the Invention

[0007] The present application provides a method and device for detecting the moisture content of cigarette filter rods. A detection model is established by combining the oven method and the gas chromatography method. The detection accuracy of the gas chromatography method can be obtained only by using the parameters obtained by the oven method, while retaining the high detection efficiency and low detection cost of the oven method and ensuring a relatively high detection accuracy.

[0008] The present application provides a method for detecting the moisture content of cigarette filter rods, including:

[0009] Weigh the weight of the tow of the filter rod, the weight of the forming paper and the grooved paper, and the total weight respectively;

[0010] Cut the tow, forming paper, grooved paper and additives of the filter rod into pieces and place them together in a metal test box, and dry them in an oven at (100±2)°C for 2 hours, and then calculate the weight loss of the filter rod;

[0011] Input the weight of the tow, the weight of the forming paper and the grooved paper, the total weight of the filter rod and the weight loss into the detection model to obtain the fitted moisture content of the filter rod. The difference between the fitted moisture content and the moisture content of the filter rod obtained by gas chromatography detection is within the standard range.

[0012] Preferably, obtaining the fitted moisture content of the filter rod through the detection model specifically includes:

[0013] According to the fitting equation, calculate the fitted moisture content of the filter rod by using the weight of the tow, the weight of the forming paper and the grooved paper, and the weight loss;

[0014] Calculate the ratio between the fitted moisture content and the total weight of the filter rod as the fitted moisture content of the filter rod.

[0015] Preferably, establishing the detection model specifically includes:

[0016] Randomly select a first preset number of filter rod samples as the first group; use the oven method to process each filter rod sample in the first group to obtain the oven parameters of each filter rod sample;

[0017] Randomly select a second preset number of filter rod samples as the second group; use the gas chromatography method to process each filter rod sample in the second group to obtain the chromatographic parameters of each filter rod sample; wherein, the first group and the second group each include multiple types of filter rod samples;

[0018] Perform linear fitting on the chromatographic parameters and the oven parameters to obtain a regression equation;

[0019] Verify the regression equation, and use the successfully verified regression equation as the fitting equation of the detection model.

[0020] Preferably, verifying the regression equation includes:

[0021] Determine whether the regression equation conforms to the fitting basis of the oven method and the gas chromatography method.

[0022] Preferably, verifying the regression equation further includes:

[0023] Determine whether the consistency is satisfied between the fitted moisture content and the moisture content of the filter rod obtained by gas chromatography detection.

[0024] This application also provides a moisture content detection device for cigarette filter rods, including a weighing module, a weight loss calculation module, and a fitted moisture content acquisition module;

[0025] The weighing module is used to weigh the weight of the tow of the filter rod, the weight of the forming paper and the grooved paper, and the total weight respectively;

[0026] The weight loss calculation module is used to cut the tow, forming paper, grooved paper, and additives of the filter rod into pieces and place them together in a metal test box, dry them in an oven at (100±2)°C for 2h, and calculate the weight loss of the filter rod;

[0027] The fitted moisture content acquisition module is used to input the weight of the tow, the weight of the forming paper and the grooved paper, the total weight of the filter rod, and the weight loss into the detection model to obtain the fitted moisture content of the filter rod, and the difference between the fitted moisture content and the moisture content of the filter rod obtained by gas chromatography detection is within the standard range.

[0028] Preferably, the fitted moisture content acquisition module includes a fitted moisture content acquisition module and a fitted moisture content calculation module;

[0029] The fitted moisture content acquisition module is used to calculate the fitted moisture content of the filter rod according to the fitting equation by using the weight of the tow, the weight of the forming paper and the grooved paper, and the weight loss;

[0030] The fitted moisture content calculation module is used to calculate the ratio between the fitted moisture content and the total weight of the filter rod as the fitted moisture content of the filter rod.

[0031] Preferably, the establishment module of the detection model includes an oven parameter acquisition module, a chromatographic parameter acquisition module, a fitting module, and a verification module;

[0032] The oven parameter acquisition module is used to randomly select the first preset number of filter rod samples as the first group; use the oven method to process each filter rod sample in the first group to obtain the oven parameters of each filter rod sample;

[0033] The chromatographic parameter acquisition module is used to randomly select a second preset number of filter rod samples as the second group; the gas chromatography method is used to process each filter rod sample in the second group to obtain the chromatographic parameters of each filter rod sample; wherein, the first group and the second group each include multiple types of filter rod samples;

[0034] The fitting module is used to perform linear fitting on the chromatographic parameters and the oven parameters to obtain a regression equation;

[0035] The verification module is used to verify the regression equation and use the successfully verified regression equation as the fitting equation of the detection model.

[0036] Preferably, the verification module includes a fitting basic verification module, and the fitting basic verification module is used to determine whether the regression equation conforms to the fitting basis of the oven method and the gas chromatography method.

[0037] Preferably, the verification module further includes a consistency determination module, and the consistency determination module is used to determine whether the fitting moisture content and the moisture content of the filter rod obtained by gas chromatography detection satisfy consistency.

[0038] Through the following detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings, other features and advantages of the present application will become clear. Brief Description of the Drawings

[0039] The accompanying drawings incorporated in the specification and constituting a part of the specification illustrate the embodiments of the present application and, together with the description, are used to explain the principles of the present application.

[0040] Figure 1 It is a flowchart of the method for detecting the moisture content of cigarette filter rods provided by the present application;

[0041] Figure 2 It is a flowchart of establishing a detection model provided by the present application;

[0042] Figure 3 It is a structural diagram of the device for detecting the moisture content of cigarette filter rods provided by the present application;

[0043] Figure 4 It is a structural diagram of the establishment module of the detection model provided by the present application. Detailed Description of the Embodiments

[0044] Now, various exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be noted that: unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and values set forth in these embodiments do not limit the scope of the present application.

[0045] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way a limitation on the present application or its application or use.

[0046] Techniques, methods, and equipment that are known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and equipment should be regarded as part of the specification.

[0047] In all the examples shown and discussed here, any specific values should be construed as merely exemplary and not as a limitation. Thus, other examples of the exemplary embodiments may have different values.

[0048] Due to the differences in the water absorption capacities of the tow, forming paper, grooved paper, and additives in the filter rod itself, when reaching the moisture adsorption equilibrium under the same storage conditions (the storage environment for the finished filter rods of cigarette or filter rod production enterprises is 23±3°C and 55±5% relative humidity), there are significant differences in the moisture contents of each part of the material; on the other hand, there are also significant differences in the weights of the tow, forming paper / grooved paper, and additives in different types of filter rods, which leads to the variability of the moisture contents of different types of filter rods.

[0049] Based on the above factors, the present application provides a universal moisture content measurement solution that is not affected by the water absorption capacity of each component in the filter rod and the differences in the weight percentages of the same components between different types of filter rods.

[0050] The present application provides a method and device for detecting the moisture content of cigarette filter rods. By combining the oven method and the gas chromatography method, a detection model is established, and the detection accuracy of the gas chromatography method can be obtained only by using the parameters obtained by the oven method, while retaining the high detection efficiency and low detection cost of the oven method and ensuring a high detection accuracy rate.

[0051] Embodiment 1

[0052] As Figure 1 shown, the method for detecting the moisture content of cigarette filter rods includes:

[0053] S110: Weigh the weight X1 of the tow of the filter rod, the weight X2 of the forming paper and the grooved paper, and the total weight X0 respectively.

[0054] It should be noted that an ordinary filter rod consists of a core of diacetate fiber tow (containing triacetin for curing) and a forming paper wrapped outside. There is also a layer of grooved paper between the fiber tow and the forming paper in a grooved filter rod. In recent years, some new types of filter rods also contain additives such as bursting beads, flavor threads, carbon particles, and hollow fibers. Therefore, the total weight X0 of the filter rod includes the weight X1 of the tow, the weight X2 of the forming paper and the grooved paper, and the weight X3 of the additives, that is, X0 = X1 + X2 + X3.

[0055] S120: Cut the tow, forming paper and grooved paper, and additives of the filter rod into pieces and place them together in a metal test box, and dry them in an oven at (100±2)°C for 2 h, and then calculate the weight loss X4 of the filter rod.

[0056] It should be noted that the operation of S120 is to process the filter rod according to the standard "GB / T 22838.8—2009 Determination of physical properties of cigarettes and filter rods - Part 8: Moisture content" for the oven method.

[0057] S130: Input the weight X1 of the tow, the weight X2 of the forming paper and the grooved paper, the total weight X0 of the filter rod, and the weight loss X4 into the detection model to obtain the fitted moisture content Q of the filter rod RE . The fitted moisture content Q RE The difference between the moisture content Q of the filter rod obtained by gas chromatography detection and the fitted moisture content Q is within the standard range, that is, the two satisfy consistency.

[0058] Specifically, in S130, the fitted moisture content Q of the filter rod is obtained through the detection model RE , specifically including:

[0059] S1301: According to the fitting equation, use the weight X1 of the tow, the weight X2 of the forming paper and the grooved paper, and the weight loss X4 to calculate the fitted moisture content Y of the filter rod RE .

[0060] Among them, Y RE = b + k1X1 + k2X2 + k4X4

[0061] Among them, b is a constant, and k1, k2, and k4 are the coefficients of X1, X2, and X4 respectively.

[0062] S1302: Calculate the ratio of the fitted moisture content Y RE to the total weight X0 of the filter rod as the fitted moisture content Q of the filter rod RE .

[0063] In this application, the accuracy of the fitted moisture content obtained through the fitting equation composed of multiple parameters of the oven method reaches the detection accuracy of the moisture content obtained by the gas chromatography method. Thus, while retaining the high detection efficiency and low detection cost of the oven method, a high detection accuracy is ensured.

[0064] Specifically, as Figure 2 shown, establishing the above detection model includes the following steps:

[0065] S210: Randomly select a first preset number of filter rod samples as the first group; process each filter rod sample in the first group by the oven method to obtain the oven parameters of each filter rod sample.

[0066] It should be noted that the operation of S210 is to process the filter rod according to the standard "GB / T 22838.8—2009 Determination of physical properties of cigarettes and filter rods - Part 8: Moisture content" for the oven method.

[0067] In the above standards, the traditional oven method stipulates that the first moisture content P4 of the filter rod is determined by detecting the percentage of mass loss (i.e., weight loss) of 10 filter rods after drying in an oven at (100±2)°C for 2 hours, that is, P4 = X4 / X0.

[0068] The moisture content of the filter rod is a function of the weight of the tow, the weight of the forming paper and the grooved paper, and the weight of the additive. Among them, the components of the tow, the forming paper and the grooved paper are single, and the material properties are stable. The water absorption capacities of these three are close in different types of filter rods, and the moisture content has a linear relationship with the material weight. However, due to the large number of types of additives and the certain difference in water absorption capacity, the moisture content of the additive does not have a linear relationship with the weight. Therefore, in the traditional oven method, the weight loss varies greatly with different additives. Therefore, the detection accuracy of the moisture content by the traditional oven method is low.

[0069] Based on the above considerations, in this application, the oven parameters include, in addition to the weight loss X4 of the filter rod and the first moisture content P4 of the filter rod, the weight X1 of the tow, the weight X2 of the forming paper and the grooved paper, the weight X3 of the additive, the weight percentage P1 of the tow, the weight percentage P2 of the forming paper and the grooved paper, and the weight percentage P3 of the additive, that is, P1 = X1 / X0, P2 = X2 / X0, P3 = X3 / X0.

[0070] S220: Randomly select a second preset number of filter rod samples as the second group; use gas chromatography to process each filter rod sample in the second group to obtain the chromatographic parameters of each filter rod sample; among them, the first group and the second group each include multiple types of filter rod samples.

[0071] It should be noted that the operation of S220 is the treatment of the filter rod in accordance with the standard "YC / T 568—2018 Determination of Moisture Content of Filter Rods - Gas Chromatography Method" for gas chromatography.

[0072] In the above standards, in the gas chromatography method, after cutting the filter rod sample into pieces, weigh the weight M of each filter rod, then use acetonitrile as the internal standard and isopropanol as the solvent, shake and extract for 30 minutes, separate through a PoraPLOT Q capillary column and detect with a gas chromatography-thermal conductivity detector (GC-TCD), and calculate the moisture content Y and the second moisture content Q of each filter rod, where Q = Y / M. Thus, the chromatographic parameters include the weight M of the filter rod, the moisture content Y and the second moisture content Q.

[0073] S230: Perform linear fitting on the chromatographic parameters and the oven parameters to obtain a regression equation.

[0074] It should be noted that when performing linear fitting on chromatographic parameters and oven parameters, as an example, following the common practice of the prior art, fitting of similar parameters is carried out. For example, linear fitting is performed on the first moisture content P4 and the second moisture content Q, and linear fitting is performed on the moisture content Y of gas chromatography and the weight loss X4 of the oven method.

[0075] As another example, fitting of different types of parameters is carried out. For example, linear fitting is performed on the second moisture content Q and the weight percentage P1 of the tow in the oven method, the weight percentage P2 of the forming paper and the grooved paper, the weight percentage P3 of the additive, and the first moisture content P4, or linear fitting is performed on the moisture content Y of gas chromatography and the weight X1 of the tow, the weight X2 of the forming paper and the grooved paper, the weight X3 of the additive, and the weight loss X4 of the oven method.

[0076] As an example, the regression equation is obtained by the least squares method.

[0077] Preferably, after obtaining the regression equation, the regression equation is evaluated, and the regression equation with the best evaluation result is used as the regression equation obtained in S230. As an example, the coefficient of determination R 2 , adjusted coefficient of determination adjR 2 , leave-one-out cross-validation coefficient cvR 2 are used to evaluate the regression equation.

[0078] As an example, the regression equation obtained in S230 is a functional relationship between the water content of the filter rod and the weight X1 of the tow, the weight X2 of the forming paper and the grooved paper, and the weight loss X4. The water content of the filter rod in the regression equation is called the fitted water content Y of the filter rod RE . That is:

[0079] Y RE = b + k1X1 + k2X2 + k4X4

[0080] Wherein, b is a constant, and k1, k2, and k4 are the coefficients of X1, X2, and X4 respectively.

[0081] The coefficient of determination R 2 , adjusted coefficient of determination adjR 2 , leave-one-out cross-validation coefficient cvR 2 of this regression equation reach 96.45%, 96.09%, and 95.41% respectively. The fitting effect of the regression equation is good, and the fitting accuracy is relatively high.

[0082] S240: Verify the regression equation, and use the successfully verified regression equation as the fitting equation of the detection model.

[0083] As an example, the regression equation is verified, including determining whether the regression equation conforms to the fitting basis of the oven method and the gas chromatography method.

[0084] As an example, the fitting basis of the oven method and the gas chromatography method is the stability of the filter rod weight.

[0085] As can be seen from the above, the moisture content of the filter rod is the ratio of the water content of the filter rod to the weight of the filter rod, so the weight stability of the filter rod must be considered.

[0086] Specifically, the weight stability of the filter rod can be verified from multiple dimensions, including the weight stability of the filter rod within batches, between batches, and between different detection methods, and the influence of the total weight, the weight of the tow, the weight of the forming paper and the grooved paper, and the weight deviation of the filter rod on the moisture content of the filter rod.

[0087] At present, the control level of the filter rod weight in the tobacco industry is generally about 10 mg.

[0088] Table 1 is the weight table of the filter rod (excluding the grooved paper) within batches and between batches, including the mean value, standard deviation, and relative standard deviation of the total weight, tow weight, and forming paper weight of each filter rod within batches (i.e., the weight stability within batches) and the total mean value, total standard deviation, and total relative standard deviation of the total weight, tow weight, and forming paper weight of the filter rods in 3 batches (i.e., the weight stability between batches).

[0089] Table 1 Filter Rod Weight within Batches and between Batches

[0090]

[0091]

[0092] As can be seen from Table 1, the standard deviation and relative standard deviation of the total weight, tow weight, and forming paper weight within batches do not exceed 3 mg and 1%, respectively, and the deviation of the forming paper weight does not exceed 1 mg.

[0093] The standard deviation and relative standard deviation of the total weight of the filter rod between batches are 3.4 mg and 0.59%, respectively. According to the six sigma management principle, the 95% confidence interval ranges of the deviation and relative deviation are ±10.2 mg and ±1.77%, respectively, and both are within the control range of the filter rod weight in the tobacco industry.

[0094] In the national standard "GB / T 5605—2011 Cellulose Acetate Filter Rods", a limit requirement of 8% (mass fraction) for the moisture content of the filter rods is specified. Combining with a weight deviation control level of 10 mg, the maximum deviation of the moisture content of the filter rods calculated based on the total mean value of the total gravity of the filter rods in Table 1 is 10×8% / 575.9 = 0.14%, and the maximum relative deviation is 0.14% / 8% = 1.75%. This indicates that the influence of the weight deviation of the filter rods on the moisture content of the filter rods is very small. Therefore, the detection method of obtaining the moisture content of the filter rods by regression fitting and then dividing the moisture content of the filter rods by the weight of the filter rods is reliable.

[0095] Table 2 shows the oven parameters and chromatographic parameters of 33 kinds of filter rods.

[0096] Table 2 Oven Parameters and Chromatographic Parameters of 33 Kinds of Filter Rods

[0097]

[0098] By comparing the actual weighing results of the weight M of the 33 kinds of filter rod samples by gas chromatography and the total weight (X1 + X2 + X3) by oven method in Table 2, it can be seen that the average deviation and relative deviation are 5.79 mg and 1.04% respectively, indicating that the actual test results are in line with the theoretical weight control level, and the weight stability of different kinds of filter rods also meets the requirements.

[0099] As another embodiment, preferably, verifying the regression equation further includes determining whether there is consistency between the fitted moisture content and the moisture content of the filter rods obtained by gas chromatography detection.

[0100] Calculate the fitted moisture content Y of the 33 kinds of filter rods in Table 2 using the above regression equation RE , and calculate the fitted moisture content Q through the filter rod weight (X1 + X2 + X3) and the fitted moisture content Y RE Calculate the fitted moisture content Q RE , and calculate the moisture content deviation through the fitted moisture content Q RE and the moisture content Q of gas chromatography method, as shown in Table 3. The results show that the maximum deviation of the moisture content is less than 0.5%, the average deviation is 0.24%, the maximum relative deviation is about 10%, and the average relative deviation is about 5%, meeting the requirements.

[0101] Table 3 Consistency Verification Results of the Regression Equation

[0102]

[0103] The following is another example:

[0104] Randomly select 10 samples of a certain type of filter rod, and use an electronic balance to weigh the tow, forming paper / grooved paper, and additives of the 10 filter rods respectively. Calculate the weights (mg) of the tow, forming paper / grooved paper, and additives of a single filter rod, and record them as X1, X2, and X3 respectively. Cut the tow, forming paper / grooved paper, and additives of the 10 filter rods into pieces according to the requirements of the OV method in the standard of "GB / T 22838.8—2009 Determination of physical properties of cigarettes and filter rods - Part 8: Moisture content", and place them together in a metal test box and dry them in an oven at (100 ± 2)°C for 2 h. Calculate the weight loss (mg) of a single filter rod before and after drying, and record it as X4. As an example, the regression equation is Y RE =-1.77 + 0.02549X1 + 0.04678X2 + 0.2486X4. Calculate the fitted moisture content of the filter rod according to this, and calculate the fitted moisture content Q RE =Y RE / (X1 + X2 + X3).

[0105] Measure the four parameters X1, X2, X3, and X4 of 7 unknown filter rods according to the above steps, and calculate the fitted moisture content Y RE and the fitted moisture content Q RE , and compare them with the second moisture content Q measured by the GC method. The results are shown in Table 4. The verification results of the 7 unknown filter rods show that the maximum deviation of the moisture content is 0.58%, the average deviation is 0.28%, and the average relative deviation is 6.49%. Except for the relative deviation of the 6th unknown sample reaching 13.08% (the maximum relative deviation), the relative deviations of the other samples do not exceed 10%. The verification results of the model are generally satisfactory and can meet the requirements of daily use in terms of level and accuracy.

[0106] Table 4 Consistency verification results of the model

[0107]

[0108] Example 2

[0109] Based on the above moisture content detection method, the present application also provides a moisture content detection device for cigarette filter rods. As Figure 3 shown, the moisture content detection device includes a weighing module 310, a weight loss calculation module 320, and a fitted moisture content obtaining module 330.

[0110] The weighing module 310 is used to weigh the weight of the tow of the filter rod, the weight of the forming paper and grooved paper, and the total weight respectively.

[0111] The weight loss calculation module 320 is used to cut the tow, forming paper and grooved paper, and additives of the filter rod into pieces, place them together in a metal test box, dry them in an oven at (100 ± 2)°C for 2 h, and calculate the weight loss of the filter rod.

[0112] The fitting moisture content obtaining module 330 is configured to input the weight of the tow, the weights of the forming paper and the grooved paper, the total weight of the filter rod, and the weight loss into a detection model to obtain the fitting moisture content of the filter rod, and the difference between the fitting moisture content and the moisture content of the filter rod obtained by gas chromatography detection is within the standard range.

[0113] Specifically, as an embodiment, the fitting moisture content obtaining module 330 includes a fitting water content obtaining module 3301 and a fitting moisture content calculating module 3302.

[0114] The fitting water content obtaining module 3301 is configured to calculate the fitting water content of the filter rod according to a fitting equation by using the weight of the tow, the weights of the forming paper and the grooved paper, and the weight loss.

[0115] The fitting moisture content calculating module 3302 is configured to calculate the ratio between the fitting water content and the total weight of the filter rod as the fitting moisture content of the filter rod.

[0116] As an embodiment, as Figure 4 shown, the establishment module of the detection model includes an oven parameter obtaining module 410, a chromatographic parameter obtaining module 420, a fitting module 430, and a verification module 440.

[0117] The oven parameter obtaining module 410 is configured to randomly select a first preset number of filter rod samples as the first group; process each filter rod sample in the first group by the oven method to obtain the oven parameters of each filter rod sample.

[0118] The chromatographic parameter obtaining module 420 is configured to randomly select a second preset number of filter rod samples as the second group; process each filter rod sample in the second group by gas chromatography to obtain the chromatographic parameters of each filter rod sample; wherein, the first group and the second group each include multiple types of filter rod samples.

[0119] The fitting module 430 is configured to perform linear fitting on the chromatographic parameters and the oven parameters to obtain a regression equation.

[0120] The verification module 440 is configured to verify the regression equation and use the successfully verified regression equation as the fitting equation of the detection model.

[0121] As an embodiment, the verification module 440 includes a fitting basis verification module 4401, and the fitting basis verification module 4401 is configured to determine whether the regression equation conforms to the fitting basis of the oven method and the gas chromatography method.

[0122] Preferably, the verification module 440 further includes a consistency determination module 4402, and the consistency determination module 4402 is configured to determine whether the fitting moisture content and the moisture content of the filter rod obtained by gas chromatography detection satisfy consistency.

[0123] The present invention combines the operation, site, cost, and efficiency advantages of the OV method with the result accuracy advantage of the GC method. By optimizing and establishing a mathematical model, an indirect determination method is obtained. After the model is established, it completely gets rid of the GC method, which helps cigarette or filter rod production enterprises to more conveniently, efficiently, and accurately determine the moisture content of filter rods.

[0124] Although some specific embodiments of the present application have been described in detail by way of examples, those skilled in the art should understand that the above examples are only for illustration purposes and not for limiting the scope of the present application. Those skilled in the art should understand that the above embodiments can be modified without departing from the scope and spirit of the present application. The scope of the present application is defined by the appended claims.

Claims

1. A method for detecting the moisture content of a cigarette filter rod, characterized in that, Including: Weighing the weight of the tow of the filter rod, the weight of the forming paper and the grooved paper, and the total weight respectively; wherein, the filter rod includes a diacetate fiber tow core and contains triacetin for curing; Cutting the tow of the filter rod, the forming paper, the grooved paper, and the additive into pieces and placing them together in a metal test box, drying them in an oven at (100±2) °C for 2 h, and then calculating the weight loss of the filter rod; Inputting the weight of the tow, the weight of the forming paper and the grooved paper, the total weight of the filter rod, and the weight loss into a detection model to obtain the fitted moisture content of the filter rod, and the difference between the fitted moisture content and the moisture content of the filter rod obtained by gas chromatography detection is within the standard range; Wherein, obtaining the fitted moisture content of the filter rod through the detection model specifically includes: Calculating the fitted moisture content of the filter rod according to the fitted equation by using the weight of the tow, the weight of the forming paper and the grooved paper, and the weight loss; Calculating the ratio between the fitted moisture content and the total weight of the filter rod as the fitted moisture content of the filter rod; The specific method for establishing the detection model includes: Randomly extracting a first preset number of filter rod samples as the first group; processing each filter rod sample in the first group by the oven method to obtain the oven parameters of each filter rod sample; Randomly extracting a second preset number of filter rod samples as the second group; processing each filter rod sample in the second group by gas chromatography to obtain the chromatographic parameters of each filter rod sample; wherein, the first group and the second group respectively include multiple types of filter rod samples; Performing linear fitting on the chromatographic parameters and the oven parameters to obtain a regression equation; Verifying the regression equation, and taking the regression equation with successful verification as the fitted equation of the detection model; Wherein, the oven parameters include: the weight of the tow, the weight of the forming paper and the grooved paper, and the weight loss of the filter rod; The chromatographic parameters include: the moisture content of the filter rod.

2. The moisture content detection method of the cigarette filter rod according to claim 1, wherein Verifying the regression equation includes: Determining whether the regression equation conforms to the fitting basis of the oven method and gas chromatography.

3. The moisture content detection method of the cigarette filter rod according to claim 2, wherein Verifying the regression equation further includes: Determining whether the fitted moisture content and the moisture content of the filter rod obtained by gas chromatography detection satisfy consistency.

4. A moisture content detection device for a cigarette filter rod, characterized in that, Including a weighing module, a weight loss calculation module, and a fitted moisture content obtaining module; The weighing module is used to weigh the weight of the tow of the filter rod, the weight of the forming paper and the grooved paper, and the total weight respectively; wherein, the filter rod includes a diacetate fiber tow core and contains triacetin for curing; The weight loss calculation module is used to cut the tow of the filter rod, the forming paper, the grooved paper, and the additive into pieces and place them together in a metal test box, dry them in an oven at (100±2) °C for 2 h, and calculate the weight loss of the filter rod; The fitting moisture content obtaining module is configured to input the weight of the tow, the weights of the forming paper and the grooved paper, the total weight of the filter rod, and the weight loss into a detection model to obtain the fitting moisture content of the filter rod, and the difference between the fitting moisture content and the moisture content of the filter rod obtained by gas chromatography detection is within a standard range; Wherein, the fitting moisture content obtaining module includes a fitting moisture content obtaining module and a fitting moisture content calculating module; The fitting moisture content obtaining module is configured to calculate the fitting moisture content of the filter rod according to a fitting equation by using the weight of the tow, the weights of the forming paper and the grooved paper, and the weight loss; The fitting moisture content calculating module is configured to calculate the ratio of the fitting moisture content to the total weight of the filter rod as the fitting moisture content of the filter rod; Wherein, the detection model establishing module includes an oven parameter obtaining module, a chromatographic parameter obtaining module, a fitting module, and a verification module; The oven parameter obtaining module is configured to randomly select a first preset number of filter rod samples as a first group; process each filter rod sample in the first group by the oven method to obtain the oven parameters of each filter rod sample, wherein the oven parameters include: the weight of the tow, the weights of the forming paper and the grooved paper, and the weight loss of the filter rod; The chromatographic parameter obtaining module is configured to randomly select a second preset number of filter rod samples as a second group; process each filter rod sample in the second group by gas chromatography to obtain the chromatographic parameters of each filter rod sample, and the chromatographic parameters include: the moisture content of the filter rod; wherein the first group and the second group each include multiple types of filter rod samples; The fitting module is configured to perform linear fitting on the chromatographic parameters and the oven parameters to obtain a regression equation; The verification module is configured to verify the regression equation and use the regression equation with successful verification as the fitting equation of the detection model.

5. The moisture content detection device for cigarette filter rods according to claim 4, characterized in that, The verification module includes a fitting basis verification module, and the fitting basis verification module is configured to determine whether the regression equation conforms to the fitting basis of the oven method and the gas chromatography method.

6. The moisture content detection device for cigarette filter rods according to claim 5, characterized in that, The verification module further includes a consistency determination module, and the consistency determination module is configured to determine whether the fitting moisture content and the moisture content of the filter rod obtained by gas chromatography detection satisfy consistency.

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