CN112931915A - Blending uniformity detection method for tobacco components in leaf group - Google Patents
Blending uniformity detection method for tobacco components in leaf group Download PDFInfo
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- CN112931915A CN112931915A CN202110485462.7A CN202110485462A CN112931915A CN 112931915 A CN112931915 A CN 112931915A CN 202110485462 A CN202110485462 A CN 202110485462A CN 112931915 A CN112931915 A CN 112931915A
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- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
- A24B3/00—Preparing tobacco in the factory
- A24B3/08—Blending tobacco
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- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
- A24B3/00—Preparing tobacco in the factory
- A24B3/18—Other treatment of leaves, e.g. puffing, crimpling, cleaning
Abstract
The application discloses a method for detecting blending uniformity of tobacco components in a tobacco leaf group, which comprises the following steps: obtaining a plurality of samples to be detected of a batch of cut tobacco of the leaf group; for each sample to be detected, separating each component in the sample to be detected and weighing each component; the blending uniformity of each component in the batch was calculated. According to the method and the device, an automatic data processing mode is adopted for precision calculation, so that the labor intensity of workers is reduced, and meanwhile, the statistical analysis of a large number of samples is facilitated, and more accurate blending uniformity and volatility are obtained.
Description
Technical Field
The application relates to the technical field of tobacco manufacturing, in particular to a method for detecting blending uniformity of tobacco components in tobacco leaf groups.
Background
The tobacco shred structure of the leaf group of the finished cigarette is generally composed of components such as leaf shreds, stems, expanded shreds, slices and the like, and is prepared by a formulator according to a design style, index requirements and different functions of the components in the formula in a reasonable proportion so as to achieve the design of the cigarette leaf groups with different brands and specifications.
In the production stage, the production department amplifies the tobacco shred formula of the tobacco group by a certain amplification factor according to the issued structural requirement of the tobacco formula of the tobacco group to meet the requirement of actual production. As the characteristics (such as different shapes and intertwining among the leaf filaments) of each component of the leaf filaments are different from those of fluid and powdery solid, the metering and blending of each material component in the formula in the production link is a complicated process. The blending uniformity of each material component in the blending process is an important process index in cigarette process evaluation, and has important influence on the conformity of physicochemical indexes, sensory quality and the like of cigarettes with design standards.
At present, the detection and evaluation of blending uniformity also depend on manual detection, namely, a certain amount of cut tobacco of leaf groups is manually extracted in different production periods, the cut tobacco is picked and separated in a manual mode, and different separated components are manually weighed and the blending uniformity is calculated.
The method has the advantages of high labor intensity, low calculation precision and incapability of carrying out statistical analysis on a large number of samples, so that the obtained blending uniformity has low accuracy.
Disclosure of Invention
The application provides a method for detecting blending uniformity of tobacco components in a leaf group, which adopts an automatic data processing mode to carry out precision calculation, reduces labor intensity of workers and simultaneously facilitates statistical analysis of a large number of samples, thereby obtaining more accurate blending uniformity and volatility thereof.
The application provides a method for detecting blending uniformity of tobacco components in a tobacco leaf group, which comprises the following steps: obtaining a plurality of samples to be detected of a batch of cut tobacco of the leaf group; for each sample to be detected, separating each component in the sample to be detected and weighing each component; the blending uniformity of each component in the batch was calculated.
Preferably, calculating the blending uniformity of a given component in the batch comprises: calculating the proportion of the specified components in the batch to be detected which are more than, less than and equal to the standard mixing amount; if the proportion of the specified component in the batch equal to the standard blending amount of the sample to be inspected is smaller than the first threshold, removing the sample to be inspected in the batch with the specified component equal to the standard blending amount to obtain a statistical sample of the batch, and calculating the blending uniformity of the specified component in the batch according to the statistical sample.
Preferably, calculating the blending uniformity of the specified component in the batch according to the statistical sample comprises the following steps: respectively calculating a first probability of the specified component in the batch being larger than the sample to be detected in the standard mixing amount and a second probability of the sample to be detected being smaller than the standard mixing amount; and calculating the blending uniformity of the specified component in the batch according to the first probability and the second probability.
Preferably, calculating the proportion of the specified component in the batch to be detected which is greater than, less than or equal to the standard blending amount comprises the following steps: calculating the mixing amount of the specified component in a plurality of samples to be detected in the batch; and calculating the proportion of the number of the samples to be detected with the specified component doping amount larger than, smaller than and equal to the standard doping amount in the batch to the total number of the samples in the batch as the proportion of the samples to be detected with the specified component doping amount larger than, smaller than and equal to the standard doping amount in the same batch.
Preferably, the first threshold is 1/2.
Preferably, the method further comprises the following steps: and if the number of the batches with blending uniformity is more than or equal to 2, comparing the blending uniformity of all the batches with blending uniformity, obtaining and evaluating the volatility of the blending uniformity, and outputting a volatility evaluation result.
Preferably, the volatility of the blending uniformity is obtained by visualizing the blending uniformity of a plurality of batches.
Preferably, the blending uniformity is used as an ordinate, and the fluctuation curve is drawn by using time as an abscissa for visualization.
Preferably, obtaining a plurality of samples to be tested of a batch of cut tobacco of leaf group comprises the following steps: sampling in a certain production period to obtain a batch of cut tobacco of the leaf group; dividing the tobacco shreds of the leaf group into a group with a specified number; and weighing a sample with a preset weight from each group of leaf group tobacco shreds to serve as a sample to be detected.
Preferably, before the cut tobacco of the tobacco group is divided into the specified number of groups, the method further comprises the step of preprocessing the cut tobacco of the sampled tobacco group.
Further features of the present application and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which is to be read in connection with the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of a method for detecting blending uniformity of cut tobacco components in a leaf group provided by the present application;
FIG. 2 is a schematic structural diagram of a system for detecting blending uniformity of cut tobacco in a leaf group provided by the present application;
fig. 3 is a schematic diagram of a system for detecting blending uniformity of cut tobacco in a cut tobacco group provided by the present application.
The figures are labeled as follows:
1-feeding unit 2-control processing device 3-electrostatic generator
4-metering device 5-tobacco shred component storage unit 6-negative pressure pipe
7-tobacco storage unit 8-charging roller 9-shielding case
10-output device 11-separation chamber 12-display device
13-recovery device
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
Example one
The application provides a method for detecting blending uniformity of tobacco components in a leaf group. As shown in fig. 1, the detection method includes the following steps:
s110: sampling is carried out in a certain production period, and a batch of cut tobacco of the leaf group is obtained.
S120: and (4) preprocessing the sampled cut tobacco of the leaf group.
A certain amount of shredded tobacco needs to be added in the online production process, the phenomenon of production and shredding exists, and due to the fact that the volume of the shredded tobacco is small, adverse effects are easily brought in the subsequent separation process of each component of the cut tobacco of the leaf group. Thus, the pretreatment of cut leaf tobacco involves a preliminary screening of each batch of cut leaf tobacco to remove shredded tobacco.
S130: the tobacco shreds of the leaf group are divided into a specified number of groups, and a sample with a preset weight is weighed from the tobacco shreds of each group to serve as a sample to be detected.
As an example, weighing is performed using a one percent precision scale.
For example, the samples after the pretreatment of the same batch are divided into 30 groups, and each group accurately weighs 500g by using a weighing scale with one percent of precision as a sample to be detected.
S140: for each sample to be tested, the components in the sample to be tested are separated and weighed.
Specifically, the detection system for the blending uniformity of cut tobacco of the cut tobacco group in fig. 2 and 3 is used for component separation and weighing (see example two).
S150: calculating the blending amount of each component in a plurality of samples to be detected in the same batch aiming at each component of cut tobacco in the tobacco leaf group, calculating the number of the samples to be detected with the blending amount of the components in the same batch being more than, less than or equal to the standard blending amount and the proportion of the number of the samples to be detected in the batch, and taking the number of the samples to be detected with the blending amount of the components in the same batch as the proportion R of the specified components in the samples to be detected with the blending amount of the specified components being more thannx1、Rnx2、Rnx3. Wherein R isnx1、Rnx2、Rnx3Respectively representing the proportion of the component X (such as leaf silks) in the nth batch to be equal to, larger than and smaller than the standard blending amount of the sample to be detected.
Taking the above example as an example, for the cut tobacco component, if the blending amount of the cut tobacco in the batch is equal to 12 of the number of the sample to be inspected in the standard blending amount, 10 of the number of the sample to be inspected in the greater than standard blending amount, and 8 of the number of the sample to be inspected in the less than standard blending amount, the ratio R of the sample to be inspected in the equal to standard blending amount isnx112/30, ratio R of the sample to be examined greater than the standard doping amount nx210/30, ratio R of the sample to be examined to the standard doping amountnx3Is 8/30.
S160: aiming at each component of the tobacco shreds in the tobacco leaf group, judging the proportion R of the component in the same batch, which is equal to the standard mixing amount of a sample to be detectednx1Whether or not it is greater than or equal to the first threshold. If yes, go to S170. Otherwise, S180 is executed.
As one example, the first threshold is 1/2.
S170: if the proportion of the component in the same batch to the sample to be detected in the standard blending amount is larger than or equal to the first threshold, indicating that the blending uniformity of the component in the batch meets the standard, terminating the process and outputting the result that the component meets the standard.
S180: and aiming at each component of the cut tobacco of the leaf group, removing a sample to be detected, in which the component is equal to the standard blending amount, in the same batch to obtain a statistical sample of the batch, calculating the blending uniformity of the component in the batch according to the statistical sample, and outputting the blending uniformity.
As an example, for each component of cut tobacco of a leaf group, calculating the blending uniformity of the component in the batch comprises the following steps:
s1801: respectively calculating the first probability p of the sample to be detected in which the component is greater than the standard mixing amount in the same batchnx1And a second probability p of the suspect sample being less than the standard doping amountnx2. Wherein p isnx1Is the first probability of component X (e.g. leaf filament) in the nth batch, wherein pnx2Is the second probability of component X (e.g. leaf filaments) in the nth batch.
Specifically, as an embodiment, in S1801, the ratio R of the component in the batch to be greater than the standard doping amount of the sample to be inspectednx2As a first probability pnx1Ratio R of the sample to be examined smaller than the standard doping amountnx3As a second probability pnx2。
It will be appreciated that the first probability and the second probability may be obtained by methods well known in the art.
S1802: and calculating the blending uniformity of the component in the batch according to the first probability and the second probability. Specifically, in S1802, the blending uniformity of the component in the batch is calculated by using the following formula
H(Xn)＝-(pn11og2pn1+pn21og2pn2)
Wherein, H (X)n) Indicating the blending uniformity of component X (e.g. cut tobacco) in the nth batch.
It will be appreciated that other known methods may be used to calculate the uniformity of incorporation of the component in the batch.
Preferably, the blending uniformity detection method of the present application further comprises the following steps:
s190: and judging whether the number of batches with blending uniformity is greater than or equal to 2. If yes, go to S1100. Otherwise, let n be n +1, and return to S110.
S1100: comparing the blending uniformity of all lots with blending uniformity, i.e. comparison H: (Xn) And H (X)n′) And obtaining and evaluating the volatility of the blending uniformity, and outputting the volatility evaluation result.
Taking the leaf thread as an example, if H (X)n)＝H(Xn′) The blending uniformity of the cut tobacco in the cut tobacco groups of the two batches is consistent.
If H (X)n)＞H(Xn′) The blending uniformity of the cut tobacco of the nth batch is better than that of the nth' batch.
If H (X)n)＜H(Xn′) And the blending uniformity of the tobacco shreds of the nth batch is better than that of the nth batch.
By way of example, if H (X)1)＝2；H(X2) The result is that the cut tobacco of the 1 st batch has a higher degree of dispersion than the cut tobacco of the 2 nd batch, that is, the cut tobacco is more disordered and has better uniformity in the cut tobacco of the whole batch.
Preferably, the blending uniformity of a plurality of batches is visualized.
As an example, visualization is performed with a blending uniformity H (X)n) The fluctuation curve is drawn by taking time as an abscissa and is a vertical coordinate, so that the uniformity fluctuation condition of the cut tobacco of the tobacco group in the whole actual process production process can be conveniently, quantitatively and intuitively described.
Furthermore, the blending uniformity of the component is displayed on a visual curve, and the upper line and the lower line are displayed, so that the blending process is adjusted in time according to the fluctuation condition relative to the upper limit and the lower limit.
Because the blending data in production is discrete, a certain production period may meet the process blending standard, and a certain production period may not meet the process blending standard in the process flow, so that evaluation consideration needs to be performed on different moments through the fluctuation of blending uniformity to know the blending level at different moments.
Example two
The application also provides a system for detecting the blending uniformity of the cut tobacco in the tobacco group. With reference to fig. 2 and 3, the detection system comprises a separation device of cut tobacco of a leaf group, a metering device 4, a control processing device 2, a display device 12 and an output device 10.
The separating device for the tobacco shreds in the tobacco group comprises a feeding unit 1 and a separating cavity 11, a discharge hole of the feeding unit 1 is connected with a feeding part of the separating cavity 11, a separating unit and a plurality of tobacco shred component storage units 5 are arranged in the separating cavity 11, the separating unit is arranged above the tobacco shred component storage units 5, and the number of the tobacco shred component storage units 5 is larger than or equal to the number of the components of the tobacco shreds in the tobacco group.
As an example, as shown in fig. 2, the separation unit includes a charging roller 8 and an electrostatic generator 3. The charging roller 8 is disposed upstream of the separation path of the cut tobacco group with respect to the electrostatic generator 3. Referring to fig. 2, the charging roller 8 is disposed above the electrostatic generator 3.
As an example, as shown in fig. 2, the electrostatic generator 3 includes two electrostatic plates disposed oppositely, and an area between the two electrostatic plates forms a part of a separation path of the cut tobacco group.
Preferably, the two electrostatic plates are respectively in a convex shape and a concave shape, and due to the different shapes of the two electrostatic plates, a non-uniform electrostatic field is formed, and the deviation degree of falling tracks when the components of the cut tobacco in the leaf group are separated can be increased in the non-uniform electrostatic field.
With reference to fig. 2, the principle of separating cut tobacco of tobacco group by using the separation device of the present embodiment is as follows:
the tobacco shred group enters a separation cavity from the feeding unit 1, and in the separation cavity, the tobacco shred group is firstly subjected to charge processing by a charge roller 8. Specifically, because the cut tobacco of the leaf group is non-conductive, actually, because the components contain different substances and contain a certain amount of moisture, when the cut tobacco of the leaf group passes through the charging roller 8, the components can be polarized and carry different amounts of charges, the stress condition of the cut tobacco of the leaf group in the electrostatic field of the electrostatic generator can be greatly increased, and the separation effect is directly enhanced.
When the components with different positive charge quantities pass through the electrostatic fields formed by the two electrostatic plates, the different components have different charge attraction forces, under the action of the resultant force of gravity and the charge attraction forces, the components of the tobacco shreds in the leaf group can generate different falling paths due to different stress forces, and the different components fall into different tobacco shred component storage units 5, so that the separation of the components is realized. Therefore, the separation path of each component of the cut tobacco of the leaf group is as follows: the tobacco shred component storage device comprises a feeding unit 1, a charging roller 8, an electrostatic generator 3 and a tobacco shred component storage unit 5.
Preferably, as shown in fig. 2, the detection system further comprises a shield 9, the separation unit being arranged within the shield 9. More preferably, a plurality of shredded tobacco component storage units 5 are also provided within the shield 9. The function of the shield 9 is to prevent electromagnetic interference from the outside.
As an example, as shown in fig. 2, the metering device includes weighing devices 4 as many as shredded tobacco component storage units 5, and shredded tobacco component storage units 5 are provided on the corresponding weighing devices 4. The components of the cut tobacco of the leaf group fall into the corresponding cut tobacco component storage units 5 after being separated, and meanwhile, the weighing device 4 weighs the components.
The control processing device 2 includes a controller and a processing device. The processing device is in signal connection with the metering device, and the processing device calculates the blending uniformity of the cut tobacco of the tobacco group according to the metering result of the metering device. It is understood that in the present application, the blending uniformity of cut tobacco of a cut tobacco group is calculated by the same method as in the prior art.
The controller is respectively in signal connection with the separation unit, the metering device, the processing device, the display device 12 and the output device 10, controls the power on and off of the separation unit, the metering device, the display device 12 and the output device 10, and displays the processing result of the processing device on the display device 12 and/or outputs the processing result through the output device 10. As an embodiment, the output device 10 is a printing apparatus and/or a broadcasting apparatus.
Preferably, the detection system further comprises a recovery device 13, and the feed inlet of recovery device 13 is connected to a plurality of shredded tobacco component storage units 5. As shown in fig. 2, the recovery device 13 includes a negative pressure pipe 6, a leaf group cut tobacco storage unit 7, and a negative pressure pump (not shown in the figure), an air inlet of the negative pressure pump is communicated with the leaf group cut tobacco storage unit 7, one end of the negative pressure pipe 6 is connected to the leaf group cut tobacco storage unit 7, and the other end is connected to the cut tobacco storage unit 5. After the negative pressure pump is started, negative pressure is formed in the negative pressure device, pressure difference is formed between the negative pressure device and the tobacco shred component storage unit 5, and materials in the tobacco shred component storage unit 5 are conveyed to the tobacco leaf group tobacco shred storage unit 7 through the negative pressure pipe 6.
According to the method and the device, an automatic data processing mode is adopted for precision calculation, so that the labor intensity of workers is reduced, and meanwhile, the statistical analysis of a large number of samples is facilitated, and more accurate blending uniformity and volatility are obtained.
Although some specific embodiments of the present application have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustrative purposes only and are not intended to limit the scope of the present application. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present application. The scope of the application is defined by the appended claims.
Claims (10)
1. A method for detecting blending uniformity of tobacco components in a tobacco group is characterized by comprising the following steps:
obtaining a plurality of samples to be detected of a batch of cut tobacco of the leaf group;
for each sample to be detected, separating each component in the sample to be detected and weighing each component;
and calculating the blending uniformity of each component in the batch.
2. The blending uniformity detection method of claim 1, wherein calculating the blending uniformity of a given component in the batch comprises:
calculating the proportion of the specified components in the batch to the samples to be detected which are more than, less than and equal to the standard mixing amount;
if the proportion of the specified component in the batch to the sample to be detected with the standard blending amount is smaller than a first threshold value, removing the sample to be detected with the specified component in the batch equal to the standard blending amount to obtain a statistical sample of the batch, and calculating the blending uniformity of the specified component in the batch according to the statistical sample.
3. The blending uniformity detection method of claim 2, wherein calculating the blending uniformity of the specified component in the batch according to the statistical sample comprises the steps of:
respectively calculating a first probability of the specified components in the batch of the sample to be detected being more than the standard mixing amount and a second probability of the sample to be detected being less than the standard mixing amount;
calculating the blending uniformity of the specified component in the batch according to the first probability and the second probability.
4. The blending uniformity detection method according to claim 2 or 3, wherein calculating the ratio of the specified components in the batch to be tested to be greater than, less than and equal to the standard blending amount comprises the following steps:
calculating the mixing amount of the specified components in a plurality of samples to be detected of the batch;
and calculating the proportion of the number of the samples to be detected with the specified component mixing amount larger than, smaller than and equal to the standard mixing amount in the batch to the total number of the samples in the batch, and taking the proportion as the proportion of the samples to be detected with the specified component mixing amount larger than, smaller than and equal to the standard mixing amount in the same batch.
5. The blending uniformity detection method of claim 2, wherein the first threshold value is 1/2.
6. The blending uniformity detection method of claim 1, further comprising:
and if the number of the batches with blending uniformity is more than or equal to 2, comparing the blending uniformity of all the batches with blending uniformity, obtaining and evaluating the volatility of the blending uniformity, and outputting a volatility evaluation result.
7. The blending uniformity detection method according to claim 6, wherein the fluctuation of the blending uniformity is obtained by visualizing the blending uniformity of a plurality of batches.
8. The blending uniformity detection method of claim 7, wherein the blending uniformity is used as an ordinate and the time is used as an abscissa to draw a fluctuation curve for visualization.
9. The blending uniformity detection method according to claim 1, wherein obtaining a plurality of samples to be detected of a batch of cut tobacco of leaf group comprises the following steps:
sampling in a certain production period to obtain a batch of cut tobacco of the leaf group;
dividing the tobacco shreds of the leaf group into a group with a specified number;
and weighing a sample with a preset weight from each group of leaf group tobacco shreds to serve as a sample to be detected.
10. The blending uniformity detection method of claim 9, further comprising preprocessing the sampled cut tobacco of the cut tobacco group before dividing the cut tobacco of the cut tobacco group into the specified number of groups.
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