Online characterization method of cigarette filling value

Abstract

The invention discloses an online characterization method of a cigarette filling value. The method comprises the following steps: obtaining corresponding cigarette weight, compaction amount, ventilation rate, tobacco shred moisture, cigarette circumference, cigarette length, filter stick draw resistance and cigarette draw resistance through cigarette data acquired by a cigarette making machine; fitting a binary linear regression equation according to the cigarette weight and the cigarette draw resistance so as to construct a corresponding relation between the draw resistance and the cigarette weight; when the cigarette suction resistance is equal to the design value, the cigarette filling value is equal to the reciprocal of the tobacco shred density; and when the suction resistance of the cigarette deviates from the design value, the deviated suction resistance is converted into the weight of cut tobacco, and then the filling value of the cigarette is calculated. The accuracy of cigarette sensory detection can be improved, and the cigarette quality is improved.

Description

Technical Field

[0001] The invention relates to the technical field of cigarette making process and detection analysis, and in particular to an online characterization method for cigarette filling value. Background Art

[0002] As an important factor affecting the intrinsic sensory quality of cigarettes, the filling value plays a vital role in the smoke chemical index and taste of cigarette products. At present, the filling value of tobacco is mainly measured by the silk-making workshop through sampling and testing. The specific method is: before the finished tobacco is packed and stored, 10g±0.005g of tobacco is taken and placed in a cylindrical measuring instrument. A uniform pressure of 29.4±0.5N is applied to the tobacco for 30s, and then the volume of the compressed tobacco is divided by the weight of the tobacco to obtain the filling value of the tobacco. However, in the actual production process, the average value is taken after sampling and measuring twice for each batch. Some brands of tobacco have up to 13,000kg per batch, and the proportion of samples taken is relatively small; secondly, the mixing uniformity of various tobaccos in the sample has a greater impact on the actual filling value; finally, after the tobacco is out of the cabinet, it needs to go through the process links of packing, turning the box, wind feeding, and air selection by the cigarette machine, which will also affect the actual crushing of the tobacco. Therefore, there is a certain deviation between the actual filling value of the tobacco in the cigarette and the filling value measured by the silk-making process. The “actual filling value” has a great impact on the mainstream smoke chemical index and the sensory intrinsic quality of cigarettes. Therefore, how to accurately characterize the filling value of cigarettes is of great significance in practical applications. Summary of the invention

[0003] The present invention provides an online characterization method for the filling value of a cigarette, which solves the problem that the filling value and the actual value of the existing cigarette cannot be accurately characterized, can improve the accuracy of cigarette sensory detection, and improve the quality of cigarettes.

[0004] To achieve the above objectives, the present invention provides the following technical solutions:

[0005] An online characterization method for cigarette filling value, comprising:

[0006] The corresponding cigarette weight, compaction volume, ventilation rate, moisture content of tobacco, cigarette circumference, cigarette length, filter rod draw resistance and cigarette draw resistance are obtained through the cigarette data collected by the cigarette making machine;

[0007] According to the cigarette weight and the cigarette draw resistance, a binary linear regression equation is fitted to construct a corresponding relationship between the draw resistance and the cigarette weight;

[0008] When the draw resistance of the cigarette is equal to the design value, the filling value of the cigarette is equal to the inverse of the density of the tobacco;

[0009] When the draw resistance of a cigarette deviates from the design value, the deviated draw resistance is converted into tobacco weight and then the cigarette filling value is calculated.

[0010] Preferably, the cigarette draw resistance is obtained by subtracting the filter rod draw resistance from the digital draw resistance value.

[0011] Preferably, it also includes:

[0012] A filling value is calculated for each day and each batch for the filling value of cigarettes produced by the machine, and the uncertainty of the cigarette filling value is estimated at a 95% confidence level to characterize the deviation between the cigarette filling value and the actual value.

[0013] Preferably, estimating the uncertainty of the cigarette filling value includes:

[0014] Obtain the Class B assessment uncertainty U1 of the filter rod QTM absorption resistance measurement;

[0015] According to formula U2 Calculate the uncertainty U2 of the filter rod suction resistance Class A, where: is the standard deviation of the filter rod, and n is the number of filter rods tested corresponding to a batch of tobacco;

[0016] According to the formula U3= The combined uncertainty of filter rod absorption resistance U3 is calculated;

[0017] According to the formula U4= The uncertainty of the absorption resistance U4 after the filter rod is cut into four pieces is calculated.

[0018] Preferably, the estimating the uncertainty of the cigarette filling value further includes:

[0019] Obtain the Class B assessment uncertainty U5 of the OTM draw resistance measurement of cigarettes;

[0020] Obtain the Class A assessment uncertainty U6 of the draw resistance calibration of the cigarette making machine;

[0021] Obtain the uncertainty U7 of the Class A assessment of cigarette draw resistance;

[0022] According to the formula U8= The combined uncertainty U8 ​​of cigarette draw resistance is calculated.

[0023] Preferably, the estimating the uncertainty of the cigarette filling value further includes:

[0024] According to the formula U9= The uncertainty of cigarette draw resistance U9 is calculated.

[0025] Preferably, the estimating the uncertainty of the cigarette filling value further includes:

[0026] When the draw resistance of a cigarette deviates from the design value, the uncertainty of the draw resistance of the cigarette U9 is converted into the product of the deviated draw resistance into the weight of the tobacco shreds to calculate the uncertainty of the weight of the cigarette U9.10 .

[0027] Preferably, the estimating the uncertainty of the cigarette filling value further includes:

[0028] According to the formula U 11 = ( ) is calculated and converted into the filling value uncertainty U 11 , where m is the mass of tobacco and v is the volume of tobacco.

[0029] Preferably, the fitting into a binary linear regression equation comprises:

[0030] The binary linear regression equation corresponding to the short cigarette is: y = 0.13x -40.6, where y is the draw resistance and x is the weight of the cigarette.

[0031] The present invention provides an online characterization method for the filling value of a cigarette, which constructs the corresponding relationship between the weight of a cigarette and the draw resistance by fitting a binary linear equation of the weight of a cigarette and the draw resistance, and calculates the filling value of a cigarette by using the cigarette circumference and the length of a cigarette collected by a cigarette making machine. The method solves the problem that the filling value and the actual value of existing cigarettes cannot be accurately characterized, improves the accuracy of cigarette sensory detection, and improves the quality of cigarettes. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the specific embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below.

[0033] Figure 1 A schematic diagram of an online characterization method for cigarette filling value provided by the present invention.

[0034] Figure 2 It is a flow chart for estimating the uncertainty of the filling value of a short cigarette provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to enable persons skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and implementation modes.

[0036] In view of the problem of inaccurate characterization of the current filling value of cigarettes, the present invention provides an online characterization method for the filling value of cigarettes, which solves the problem that the filling value and the actual value of existing cigarettes cannot be accurately characterized, can improve the accuracy of sensory detection of cigarettes, and improve the quality of cigarettes.

[0037] like Figure 1 and Figure 2 As shown, an online characterization method for cigarette filling value includes:

[0038] S1: Obtain the corresponding cigarette weight, compaction volume, ventilation rate, tobacco moisture, cigarette circumference, cigarette length, filter rod draw resistance and cigarette draw resistance through the cigarette data collected by the cigarette making machine.

[0039] S2: fitting a binary linear regression equation according to the cigarette weight and the cigarette draw resistance to construct a corresponding relationship between the draw resistance and the cigarette weight.

[0040] S3: When the draw resistance of the cigarette is equal to the design value, the filling value of the cigarette is equal to the inverse of the tobacco density.

[0041] S4: When the draw resistance of a cigarette deviates from the design value, the deviated draw resistance is converted into tobacco weight before calculating the cigarette filling value.

[0042] Specifically, the filling value index created based on data acquisition is called "cigarette filling value". The definition of cigarette filling value: when the short cigarette draw resistance is equal to the design value, the reciprocal of the tobacco density in the short cigarette. In one embodiment, taking Liqun (Brand A) as an example, when all indicators are equal to the design value, the cigarette filling value is equal to the reciprocal of the tobacco density, and its cigarette filling value is: Cigarette filling value = (m / V) -1 =πr 2 L / m = 2.33cm 3 / 0.555g = 4.20cm3 / g. When the draw resistance of a short cigarette deviates from the design value, the deviated draw resistance is converted into the weight of tobacco and then the cigarette filling value is calculated. The corresponding relationship between the draw resistance and the weight of the cigarette can be fitted according to the weight and draw resistance of the cigarette obtained by the cigarette making machine data to obtain a binary linear equation. This method can improve the accuracy of cigarette sensory detection and improve cigarette quality.

[0043] Furthermore, the cigarette draw resistance is obtained by subtracting the filter rod draw resistance from the digital draw resistance value.

[0044] The method also includes: calculating a filling value for the cigarette filling value produced by the machine every day and every batch, and estimating the uncertainty of the cigarette filling value at a 95% confidence level to characterize the deviation between the cigarette filling value and the actual value.

[0045] Furthermore, the uncertainty of the cigarette filling value is estimated, including:

[0046] Obtain the Class B assessment uncertainty U1 of the filter rod QTM absorption resistance measurement;

[0047] According to formula U2 Calculate the uncertainty U2 of the filter rod suction resistance Class A, where: is the standard deviation of the filter rod, and n is the number of filter rods tested corresponding to a batch of tobacco;

[0048] According to the formula U3= The combined uncertainty of filter rod absorption resistance U3 is calculated;

[0049] According to the formula U4= The uncertainty of the absorption resistance U4 after the filter rod is cut into four pieces is calculated.

[0050] Furthermore, the estimation of the uncertainty of the cigarette filling value also includes:

[0051] Obtain the Class B assessment uncertainty U5 of the OTM draw resistance measurement of cigarettes;

[0052] Obtain the Class A assessment uncertainty U6 of the draw resistance calibration of the cigarette making machine;

[0053] Obtain the uncertainty U7 of the Class A assessment of cigarette draw resistance;

[0054] According to the formula U8= The combined uncertainty U8 ​​of cigarette draw resistance is calculated.

[0055] Furthermore, the estimation of the uncertainty of the cigarette filling value also includes:

[0056] According to the formula U9= The uncertainty of cigarette draw resistance U9 is calculated.

[0057] Furthermore, the estimation of the uncertainty of the cigarette filling value also includes:

[0058] When the draw resistance of a cigarette deviates from the design value, the uncertainty of the draw resistance of the cigarette U9 is converted into the product of the deviated draw resistance into the weight of the tobacco shreds to calculate the uncertainty of the weight of the cigarette U9. 10 .

[0059] Furthermore, the estimation of the uncertainty of the cigarette filling value also includes:

[0060] According to the formula U 11 = ( ) is calculated and converted into the filling value uncertainty U 11 , where m is the mass of tobacco and v is the volume of tobacco.

[0061] Further, the fitting into a binary linear regression equation includes:

[0062] The binary linear regression equation corresponding to the short cigarette is: y = 0.13x -40.6, where y is the draw resistance and x is the weight of the cigarette.

[0063] In one embodiment, (1) Data source: Among the various parameters required for calculating the cigarette filling value, weight and circumference are taken from the data collected by the cigarette making machine, length is taken from the design value, and the draw resistance of a short cigarette is obtained by subtracting the draw resistance of the filter rod from the draw resistance value collected. The draw resistance of the filter rod is taken from the QTM online monitoring data of the filter rod.

[0064] (2) Data processing: Taking the Liqun A brand of X machine as an example, the required data source includes the cigarette making machine data. The cigarette making machine data collects one piece of data every 2 seconds, and takes the following 11 parameters: time, machine speed, weight, compaction amount, leveler position, draw resistance, circumference, ventilation rate, tobacco moisture, wind chamber negative pressure, and needle roller click speed.

[0065] The high-speed digital acquisition of single-tube data is used to regress the suction resistance and weight, and the following relationship is obtained:

[0066] High-speed data acquisition: Suction resistance (mmH 2 O) = 0.13 weight (mg) - 40.6;

[0067] The linear equation is: y = 0.13x -40.6. That is, the average draw resistance can be converted into the weight of an 8mg cigarette.

[0068] (3) Estimation of uncertainty: It is estimated that the uncertainty of the cigarette filling value calculated by the measurement system is 0.1 cm3 / g at a 95% confidence level.

[0069] (4) Calculation of cigarette filling value: A trial calculation was conducted on a certain machine of Liqun (brand A) for 6 days, and a filling value was calculated for each day and each batch. The results are shown in Table 1:

[0070] It can be seen that the present invention provides an online characterization method for the filling value of cigarettes, which constructs the corresponding relationship between cigarette weight and draw resistance by fitting a binary linear equation of cigarette weight and draw resistance, and calculates the filling value of cigarettes through the cigarette circumference and cigarette length collected by the cigarette making machine. This solves the problem that the filling value and actual value of existing cigarettes cannot be accurately characterized, improves the accuracy of cigarette sensory detection, and improves the quality of cigarettes.

[0071] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. An online characterization method for cigarette filling value, characterized in that: include: The corresponding cigarette weight, compaction volume, ventilation rate, moisture content of tobacco, cigarette circumference, cigarette length, filter rod draw resistance and cigarette draw resistance are obtained through the cigarette data collected by the cigarette making machine; According to the cigarette weight and the cigarette draw resistance, a binary linear regression equation is fitted to construct a corresponding relationship between the draw resistance and the cigarette weight; When the draw resistance of the cigarette is equal to the design value, the filling value of the cigarette is equal to the inverse of the density of the tobacco; When the draw resistance of a cigarette deviates from the design value, the deviated draw resistance is converted into tobacco weight and then the cigarette filling value is calculated.

2. The online characterization method for cigarette filling value according to claim 1, characterized in that: The cigarette draw resistance is obtained by subtracting the filter rod draw resistance from the digital draw resistance value.

3. The on-line characterization method for cigarette filling value according to claim 2, characterized in that: Also includes: A filling value is calculated for each day and each batch for the filling value of cigarettes produced by the machine, and the uncertainty of the cigarette filling value is estimated at a 95% confidence level to characterize the deviation between the cigarette filling value and the actual value.

4. The on-line characterization method for cigarette filling value according to claim 3, characterized in that: The uncertainty estimation of the cigarette filling value includes: Obtain the Class B assessment uncertainty U1 of the filter rod QTM absorption resistance measurement; According to formula U2 Calculate the uncertainty U2 of the filter rod suction resistance Class A, where: is the standard deviation of the filter rod, and n is the number of filter rods tested corresponding to a batch of tobacco; According to the formula U3= The combined uncertainty of filter rod absorption resistance U3 is calculated; According to the formula U4= The uncertainty of the absorption resistance U4 after the filter rod is cut into four pieces is calculated.

5. The on-line characterization method of cigarette filling value according to claim 4, characterized in that: The estimation of the uncertainty of the cigarette filling value also includes: Obtain the Class B assessment uncertainty U5 of the OTM draw resistance measurement of cigarettes; Obtain the Class A assessment uncertainty U6 of the draw resistance calibration of the cigarette making machine; Obtain the uncertainty U7 of the Class A assessment of cigarette draw resistance; According to the formula U8= The combined uncertainty U8 ​​of cigarette draw resistance is calculated.

6. The on-line characterization method of cigarette filling value according to claim 5, characterized in that: The estimation of the uncertainty of the cigarette filling value also includes: According to the formula U9= The uncertainty of cigarette draw resistance U9 is calculated.

7. The method for online characterization of cigarette filling value according to claim 6, characterized in that: The estimation of the uncertainty of the cigarette filling value also includes: When the draw resistance of a cigarette deviates from the design value, the uncertainty of the draw resistance of the cigarette U9 is converted into the product of the deviated draw resistance into the weight of the tobacco shreds to calculate the uncertainty of the weight of the cigarette U9. 10 .

8. The on-line characterization method for cigarette filling value according to claim 7, characterized in that: The estimation of the uncertainty of the cigarette filling value also includes: According to the formula U 11 = ( ) is calculated and converted into the filling value uncertainty U 11 , where m is the mass of tobacco and v is the volume of tobacco.

9. The on-line characterization method for cigarette filling value according to claim 8, characterized in that: The fitting into a binary linear regression equation includes: The binary linear regression equation corresponding to the short cigarette is: y = 0.13x -40.6, where y is the draw resistance and x is the weight of the cigarette.

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