CN114993186A

CN114993186A - Cut tobacco width detection method and device, computer equipment and storage medium

Info

Publication number: CN114993186A
Application number: CN202210529836.5A
Authority: CN
Inventors: 陈东昱; 田明明; 张文杰; 晋光辉; 黄泳彤; 周伟
Original assignee: Shenzhen Tobacco Industry Co Ltd
Current assignee: Shenzhen Tobacco Industry Co Ltd
Priority date: 2022-05-16
Filing date: 2022-05-16
Publication date: 2022-09-02

Abstract

The invention discloses a method and a device for detecting the width of cut tobacco, computer equipment and a storage medium, wherein the method comprises the following steps: selecting a stable operation time period of the tobacco cutter, and withdrawing the tobacco cake compacted inside the tobacco cutter; splitting the rear end compaction part of the tobacco cake along the horizontal direction, and arranging paperboard at the split position; putting the tobacco cake with the paperboard back to a tobacco cutter, and starting up the tobacco cutter for sampling; and measuring the width of the obtained sample by using an image method to obtain a tobacco shred width detection result. The invention adopts the paperboard to replace the rubber block and combines the image method to measure the width, thereby effectively improving the detection precision and the detection efficiency of the width of the cut tobacco.

Description

Cut tobacco width detection method and device, computer equipment and storage medium

Technical Field

The invention relates to the technical field of tobacco shred detection, in particular to a method and a device for detecting the width of tobacco shreds, computer equipment and a storage medium.

Background

At present, the mainstream tobacco shred width measuring method is a projection method and an image method, wherein the image method is an improved version of the projection method, most of the current tobacco factories still use the projection method to measure the tobacco shred width, and a small part of the tobacco factories introduce the image method technology but still use the two methods alternately to measure.

The projection method mainly uses a tobacco projector as equipment, and the measuring principle is that cut tobacco is optically amplified and imaged on a projection screen, a 'sample plate' is placed in front of the image, and a measured value is directly read. In practice, however, some sampling deviation may occur in the measurement result due to some sampling deviation in the aspect of "random" sampling of different quality inspectors.

The equipment for detecting the tobacco shred width by the image method is a tobacco shred width measuring instrument, and the detection principle of the equipment is that a built-in camera device is used for shooting tobacco shred samples on an objective table to form high-definition images, then the images are processed by using related image algorithms, the edge information of the tobacco shreds to be detected is extracted, and areas suitable for detection are screened out for measurement. The image method is an automatic detection method, has obvious progress in efficiency compared with the projection method, and shortens the detection time by 90% compared with the projection method, but due to the limitation of an image recognition algorithm, the detection method has large fluctuation of a detection result and certain system deviation with a reference value, is suitable for being used as perfection and supplement of the projection method, cannot completely replace the projection method, and is also the reason that the quality inspection departments of a plurality of cigarette factories still need to use the projection method for detection after the image method detection technology is introduced.

The rubber block method is a substitute measurement method, during installation and debugging of the shredder, a shredder manufacturer can verify the working state of the shredder by the method, and the rubber block method does not need special detection equipment and only needs vernier jam with the precision of 0.01. The rubber block is a plastic product with a long strip shape, the size of the plastic product is about 10cm x 4cm x 2cm, and the surface of the plastic product is provided with a fixed shape and a fixed number of bulges, so that the plastic product can be conveniently clamped in the tobacco leaves. However, the rubber block detection method has more limitations, firstly, the rubber block detection method needs to use a vernier caliper to detect one by one in the aspect of measurement, and the time for collecting rubber block slices is added, so that the efficiency is not obviously improved compared with the projection method, and the uncertainty of detection quality and product quality is brought by slice deformation and slice mixing risks, so that the rubber block method is not suitable for being used as a detection method for long-term monitoring of the width of a cut yarn.

Disclosure of Invention

The embodiment of the invention provides a tobacco shred width detection method, a tobacco shred width detection device, computer equipment and a storage medium, and aims to improve the detection precision and detection efficiency of the tobacco shred width.

In a first aspect, an embodiment of the present invention provides a method for detecting a cut tobacco width, including:

selecting a stable operation time period of the tobacco cutter, and withdrawing the tobacco cake compacted inside the tobacco cutter;

splitting the rear end compaction part of the tobacco cake along the horizontal direction, and arranging paperboard at the split position;

putting the tobacco cake with the paperboard back to a tobacco cutter, and starting up the tobacco cutter for sampling;

and measuring the width of the obtained sample by using an image method to obtain a tobacco shred width detection result.

In a second aspect, an embodiment of the present invention provides a tobacco shred width detection device, including:

the time interval selecting unit is used for selecting the stable operation time interval of the tobacco cutter and withdrawing the tobacco cake compacted inside the tobacco cutter;

the card paper setting unit is used for splitting the rear end compaction part of the tobacco cake along the horizontal direction and setting card paper at the split position;

the starting sampling unit is used for putting the cigarette cakes with the paperboard back to the tobacco cutter and starting sampling;

and the width measuring unit is used for measuring the width of the obtained sample by using an image method to obtain a tobacco shred width detection result.

In a third aspect, an embodiment of the present invention provides computer equipment, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the method for detecting a cut tobacco width according to the first aspect is implemented.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for detecting the width of cut tobacco according to the first aspect is implemented.

The embodiment of the invention provides a method and a device for detecting the width of cut tobacco, computer equipment and a storage medium, wherein the method comprises the following steps: selecting a stable operation time period of the tobacco cutter, and withdrawing the tobacco cake compacted inside the tobacco cutter; splitting the rear end compaction part of the tobacco cake along the horizontal direction, and arranging paperboard at the split position; putting the tobacco cake with the paperboard back to a tobacco cutter, and starting up the tobacco cutter for sampling; and measuring the width of the obtained sample by using an image method to obtain a tobacco shred width detection result. According to the embodiment of the invention, the paperboard is used for replacing the rubber block, and the image method is combined for width measurement, so that the detection precision and the detection efficiency of the tobacco shred width can be effectively improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow chart of a method for detecting the width of cut tobacco according to an embodiment of the present invention;

fig. 2 is a schematic view of a sample introduction angle of a paperboard in a tobacco shred width detection method according to an embodiment of the present invention;

fig. 3 is a schematic view of another sample introduction angle of a card paper in the method for detecting the width of cut tobacco according to the embodiment of the present invention;

fig. 4 is a schematic diagram of a paper jam image in a tobacco shred width detection method according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an experimental result of a method for detecting a cut tobacco width according to an embodiment of the present invention;

fig. 6 is a schematic block diagram of a cut tobacco width detection device according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.

Referring to fig. 1, fig. 1 is a schematic flow chart of a method for detecting a cut tobacco width according to an embodiment of the present invention, which specifically includes: steps S101 to S104.

S101, selecting a stable operation time period of the tobacco cutter, and withdrawing the tobacco cake compacted inside the tobacco cutter;

s102, splitting the rear end compaction part of the tobacco cake along the horizontal direction, and arranging paperboard at the split position;

s103, putting the tobacco cakes with the paperboard back to a tobacco cutter, and starting up for sampling;

and S104, measuring the width of the obtained sample by using an image method to obtain a tobacco shred width detection result.

In this embodiment, the tobacco cake which has been compacted is first ejected at a time when the shredder is operating stably, then the compacted portion is compacted at the rear end of the tobacco cake, the tobacco cake is split along the horizontal direction, and the cardboard is put in. And then, the cigarette cakes with the paper jam are placed back into a shredder for shredding and sampling, and the obtained samples are subjected to width measurement by combining an image method.

Through early analysis and verification, the existing used tobacco shred width detection method has the advantages and limitations, for example, the standard projection method has the problem of sampling deviation, the improved projection method corrects the sampling deviation, but greatly prolongs the detection time; the image method improves the detection efficiency, but has the problem of overlarge fluctuation of the detection result; the glue block method can better reflect the state of the shredder, but has certain use risks. That is, an error in the result of detection by the current tobacco width detection method may cause erroneous judgment of the cut state, making it difficult to detect and correct a change in cut quality, and both the equipment management level of the shredder and the quality management level of the tobacco shred may be affected by this and difficult to improve.

Therefore, the embodiment adopts the paperboard to replace the rubber block, and combines the image method to measure the width, so that the detection precision and the detection efficiency of the tobacco shred width can be effectively improved. Particularly, because the card paper silk after shredding is comparatively level and smooth and burr-free in incision, be particularly suitable for adopting the image method to measure, as shown in fig. 2, fig. 2 is the detection image of card paper silk in pipe tobacco width measuring instrument, can see that the even distribution in measuring area is on each card paper silk of waiting to measure.

The embodiment is developed based on the existing detection resources, the detection level is improved on the premise of no other resource investment, and meanwhile, the device is effectively guided to be in a stable control level. The method for measuring the width of the tobacco shreds by using the white cardboard as a substitute guides a workshop to carry out homogenization processing, objectively reflects the actual production condition of the width of the tobacco shreds and reduces the influence of the width deviation of the tobacco shreds on the comprehensive quality of cigarettes. The accuracy and the stability of the measuring system are effectively improved, the labor intensity of workers is reduced on the premise of ensuring the detection, and the inspection efficiency is improved.

Meanwhile, the fluctuation of the width of the cut tobacco brings extra cut tobacco breakage, and the detection method provided by the embodiment can effectively detect the actual change of the width of the cut tobacco, ensure that the shredder is in a stable operation state, reduce the breakage in the shredding process and reduce the loss; on the other hand, the stability of the comprehensive quality of the physical and chemical indexes of the cigarettes is also ensured due to the stable width of the cut tobacco brought by the detection method provided by the embodiment.

In addition, the detection method provided by the embodiment can effectively detect the real situation of the width of the cut tobacco, guide the stable operation of the tobacco cutter, ensure the stability of the quality of the cut tobacco, keep the sensory evaluation quality of the cut tobacco stable, and ensure the uniform style of brand quality.

In one embodiment, according to different paper materials and thicknesses, cigarette paper, A4 printing paper, kraft paper and white cardboard are respectively selected for shredding experiments, and the shredded tobacco form is analyzed. As shown in table 1:

TABLE 1

It can be found by combining table 1 that the softer paper sheet is easy to stick to the tobacco leaves after being extruded by the copper chain, and is easier to curl and break, which leads to the reduction of the shredding quality, the shredding effect of the white cardboard is relatively better, which is convenient for separating from the tobacco shreds and carrying out subsequent measurement, so that the highlight white cardboard frame paper (230 g x 75mm of danyang) is selected as a substitute for carrying out the next test.

In one embodiment, the step S102 includes:

and controlling the paper clamp and the lower copper bar chain of the shredder to be horizontally arranged.

In this embodiment, referring to fig. 3 and 4, in order to ensure that the state of the paper threads measured each time is consistent, the sample injection angle of the paper in the shredder needs to be controlled, and if the sample injection angle is inclined, the detection result is easily larger.

Fig. 3 shows a longitudinal section of a tobacco cake taken out of a tobacco cutter, the material is compacted from the material inlet to the knife gate due to the wedge-shaped mechanism of the copper bar chain, and it can be seen from the figure that the bulk density of the tobacco flakes changes along with the feeding direction, and the material which is curled at the front end and greatly inclined is gradually flattened at the rear end.

In one embodiment, the step S104 includes:

photographing the sample through a camera device arranged in the tobacco shred width measuring instrument to obtain a corresponding sample image;

performing characteristic processing on the sample image by adopting an image algorithm to extract and obtain edge information of the sample image;

and screening to obtain a detection area according to the edge information, and detecting the detection area through a tobacco shred width measuring instrument.

In this embodiment, when the width detection is performed by using the imaging method, a sample image is obtained by shooting with a camera device in the tobacco shred width measuring instrument, and then image processing is performed on the sample image by using a corresponding image algorithm, so as to extract edge information of the tobacco shred to be detected, and screen out an area suitable for detection for measurement.

The image method has the advantages that the detection speed is high, the cut tobacco is completely measured by equipment and an algorithm, manual cut tobacco screening is not needed, only the cut tobacco samples are uniformly sprayed on the objective table, and then the cover plate is covered, so that the sampling deviation of a quality inspector can be theoretically avoided.

In an embodiment, the step S104 further includes:

measuring the widths of the samples by adopting different tobacco shred width measuring instruments to obtain detection data of corresponding groups;

and carrying out matched sample T test on each group of detection data, and selecting a target tobacco shred width measuring instrument according to a test result of the matched sample T test so as to carry out width measurement on the sample.

When the tobacco width measuring instrument is used for width measurement, the tobacco width measuring instruments of various manufacturers and models are considered to exist in the market, so that the embodiment selects various different tobacco width measuring instruments to perform matching sample T test, selects the tobacco width measuring instrument with the best performance as the target tobacco width measuring instrument, and detects the sample through the target tobacco width measuring instrument.

Further, in a specific embodiment, the performing paired sample T test on each group of detection data, and selecting a target tobacco shred width measuring instrument according to a test result of the paired sample T test to perform width measurement on the sample includes:

carrying out matching sorting on the plurality of samples, and sorting each group of detection data according to the matching sorting of the samples;

setting different groups of detection data at the same sequencing position as a detection data pair;

and performing difference calculation and P value calculation on each test data pair, and taking the difference calculation result and the P value calculation result as the test result of the matched sample T test.

For example, 30 cardboards are selected, numbered and measured by two types of tobacco shred width measuring instruments of TPI 150-II and CWT-200 respectively, matched sample T inspection is carried out on the measurement results output by the two tobacco shred width measuring instruments, the P value reaches 0.386, the 95% confidence interval of the difference is (-0.00309,0.00833), and the two detection differences are small, so that any one of the two types of card paper can be selected as a target tobacco shred width measuring instrument.

In one embodiment, the cut tobacco width detection method further includes:

measuring the projection width of the obtained sample by using a projection method, and taking the measurement result of the projection width as a reference value;

and performing bias and linear test based on the reference value and the tobacco shred width detection result.

In this embodiment, bias and linear test are performed on the tobacco shred width detection obtained by the tobacco shred width detection method, the bias is the difference between the theoretical average value μ of multiple measurements and the reference value Vr thereof, and the bias is for a single point; each measurement system has a range as a measure, and linear means that the bias at each point is linear with respect to a reference value within the range of the measurement system.

For example, a shredding machine is selected, the shredding widths of the shredding machine are set to be 0.85 mm, 0.9 mm, 0.95 mm, 1.0 mm and 1.05mm respectively, sampling is continuously performed for 5 times respectively by the tobacco width detection method provided in the embodiment during the shredding process, 50 g of tobacco is synchronously extracted at the outlet of the shredding machine, and the tobacco width is measured by using a projection method as a reference value, as shown in table 2 and fig. 5,

shred Width setting (mm)	0.85	0.9	0.95	1.0	1.05
						Reference value of shredding width (mm)	0.86	0.88	0.94	1.02	1.07
Measured value 1	0.87	0.86	0.93	1.03	1.05
						Measured value 2	0.86	0.88	0.92	1.02	1.07
Measured value 3	0.84	0.90	0.97	1.04	1.08
						Measured value 4	0.85	0.85	0.93	1.00	1.06
Measured value 5	0.85	0.87	0.91	1.01	1.09

TABLE 2

It can be seen that: the whole bias value is-0.0024972, and the corresponding P value is 0.473>0.05, so that the whole measuring system is judged not to be biased; the biased linear regression fitting equation is y (bias) — 0.04997+0.04987x (reference value), because the P values corresponding to the slope and the intercept are both greater than 0.05, the slope and the intercept cannot be judged to be not 0, and the fitting line and the scatter diagram are combined, which indicates that the tobacco shred width detection method provided by the embodiment has no linear bias in the set range.

Further, in an embodiment, the performing a projection width measurement on the obtained sample by using a projection method, and using the projection width measurement result as a reference value includes:

performing a projection width measurement on the obtained sample according to the following formula to obtain the reference value Δ:

in the formula (I), the compound is shown in the specification,

representing the nth measurement x _n Is determined by the average value of (a),

represents the nth measurement value y _n X and y represent two different projection measurements, respectively.

In order to eliminate the sampling deviation, a feasible method is to increase the selection amount of the cut tobacco, and increase the selection amount of the cut tobacco on the premise of not changing the gram weight of the sample, and the sampling deviation can be reduced because the optional cut tobacco meeting the conditions in the sample is reduced. For example, 100g of cut tobacco is averagely divided into two parts according to a standard method, the two quality inspectors A and B respectively measure the cut tobacco, the total quantity of the cut tobacco is 250, and the measured values of the two quality inspectors are compared. Let the nth measured values of the two quality inspectors A and B be x respectively _n And y _n Taking the difference value of the measured average values as the estimated value of the sampling deviation for analysis, calculating the previous n measured values, and estimating the value when the sample size is too smallSince the accuracy of the measurement is low, the previous data is discarded and the analysis is performed from the 31 st value.

In an embodiment, the repeatability and reproducibility research is performed on the tobacco shred width detection method provided by the embodiment, and the repeatability error means that the same operator uses the same set of detection equipment to measure the same characteristic of the same measurement component for multiple times in a short time interval, so that the obtained results are consistent. The reproducibility refers to the consistency of results obtained by measuring the agreeing part of the same measuring part for multiple times under various measuring conditions which may change.

The following experiment was performed, wherein 9 batches of the same shredding width set value within a certain time period of a shredder were sampled according to the new method, the samples were measured by two quality testers, a and b, respectively, 3 times in a random order, and the samples were restored after each measurement, and the following results were analyzed in combination with table 3:

table 3 the measurements were subjected to a metric R & R analysis, and the table of two-factor analysis of variance including interaction is shown below:

TABLE 4

The selected Alpha for the delete interaction is 0.25, and the table for two-factor analysis of variance without interaction is as follows:

Source	degree of freedom	SS	MS	F	P
						Batches of	8	0.0087408	0.0010926	96.5303	0.000
Quality inspector	1	0.0000198	0.0000198	1.7499	0.193
						Repeatability	44	0.0004980	0.0000113
Total up to	53	0.0092587

TABLE 5 measurement R & R is shown in the following table:

Source	variance component	Variance component contribution rate
			Totalizing measuring tool R&R	0.0000116	6.06
Repeatability of	0.0000113	5.90
			Reproducibility	0.0000003	0.16
Quality inspector	0.0000003	0.16
			Between parts	0.0001802	93.94
Total variation	0.0001918	100.00

Table 6 process tolerance of 0.2

TABLE 7

Number of distinguishable categories 5

From the results, when the tolerance range is set to be +/-0.05, the% GageR & R (which means the percentage of the fluctuation of the measurement system in the overall fluctuation of the process and is one of the evaluation indexes of the measurement system) of the measurement system is 24.62%, and the% P/T (which means the percentage of the precision of the measurement system in the tolerance and is one of the evaluation indexes of the measurement system) is 10.23%, according to the general judgment principle, the% GageR & R and the% P/T are both less than 10% to indicate that the measurement system is good, while the% GageR & R of the measurement system is over 30%, and in fact, the% GageR & R is established for identifying the abnormal fluctuation in the process, and the process selected by us is relatively smooth, so that the% GageR & R is relatively large. Relative to a tolerance range of +/-0.1, the% P/T reaches 10.23 percent and basically meets the requirement. We have established a new test method for the purpose of identifying anomalies whose variation in the width of the cut exceeds 0.05, which new test methods have been able to achieve but are not very suitable for use in metrological control charts.

In actual production, the tobacco cutter can generate systematic deviation between a tobacco width set value and an actual value due to parameter setting and equipment operation state change, the deviation is not large in probability, but influences the tobacco quality after the deviation occurs, the new detection method can identify the tobacco width deviation of 0.05mm, and the tobacco width detection is carried out on each batch of tobacco according to the principle of preventing and controlling the quality risk to the maximum extent, but from the actual production, the abnormity of the tobacco cutter usually occurs at the change point of the equipment state, such as equipment parameter change, maintenance, long-term shutdown and the like, so that various conditions are comprehensively considered, and the monitoring measures shown in the table 8 are carried out on the tobacco width:

TABLE 8

After the control measures are implemented, the equipment control level and the tobacco shred quality are improved, in 2021 years, the situation that the width of the tobacco shred exceeds the range of a set value +/-0.05 mm is found in the detection for 6 times, the situation that the width of the tobacco shred exceeds the set value +/-0.1 mm does not occur, the exceeding state is corrected in time, and the situation is difficult to recognize and control before a new detection method is implemented.

Fig. 6 is a schematic block diagram of a cut tobacco width detection device 600 according to an embodiment of the present invention, where the device 600 includes:

the time interval selection unit 601 is used for selecting the stable operation time interval of the tobacco cutter and withdrawing the tobacco cake compacted inside the tobacco cutter;

a paper jam setting unit 602, configured to split the rear end compacted part of the cigarette cake along the horizontal direction, and set a paper jam at the split position;

a starting sampling unit 603 for returning the cigarette cake with the paperboard to the shredder and starting sampling;

and a width measuring unit 604, configured to measure a width of the obtained sample by using an imaging method, so as to obtain a cut tobacco width detection result.

In one embodiment, the jam setting unit 602 includes:

and the horizontal setting unit is used for controlling the paperboard and the lower copper bar chain of the shredder to be horizontally arranged.

In one embodiment, the width measuring unit 604 includes:

the sample photographing unit is used for photographing the sample through a camera device arranged in the cut tobacco width measuring instrument to obtain a corresponding sample image;

the information extraction unit is used for performing characteristic processing on the sample image by adopting an image algorithm so as to extract and obtain edge information of the sample image;

and the area screening unit is used for screening to obtain a detection area according to the edge information and detecting the detection area through a tobacco shred width measuring instrument.

In an embodiment, the jam setting unit 602 further includes:

the comparison measuring unit is used for measuring the widths of the samples by adopting different tobacco shred width measuring instruments to obtain detection data of corresponding groups;

and the matching inspection unit is used for performing matching sample T inspection on each group of detection data, and selecting a target tobacco shred width measuring instrument according to an inspection result of the matching sample T inspection so as to perform width measurement on the sample.

In one embodiment, the pairing check unit includes:

the sorting unit is used for carrying out matching sorting on the samples and sorting each group of detection data according to the matching sorting of the samples;

the data pair setting unit is used for setting different groups of detection data at the same sequencing position as a detection data pair;

and the data calculation unit is used for performing difference calculation and P value calculation on each test data pair, and taking the difference calculation result and the P value calculation result as the test result of the matched sample T test.

In an embodiment, the cut tobacco width detection apparatus 600 further includes:

the projection measuring unit is used for measuring the projection width of the obtained sample by using a projection method and taking the projection width measurement result as a reference value;

and the result testing unit is used for performing bias and linear testing based on the reference value and the tobacco shred width detection result.

In one embodiment, the projection measurement unit includes:

a reference value calculating unit, configured to perform projection width measurement on the obtained sample according to the following formula to obtain the reference value Δ:

in the formula (I), the compound is shown in the specification,

representing the nth measurement x _n Is determined by the average value of (a) of (b),

Since the embodiments of the apparatus portion and the method portion correspond to each other, please refer to the description of the embodiments of the method portion for the embodiments of the apparatus portion, which is not repeated here.

Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the steps provided by the above embodiments can be implemented. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The embodiment of the present invention further provides a computer device, which may include a memory and a processor, where the memory stores a computer program, and the processor may implement the steps provided in the above embodiments when calling the computer program in the memory. Of course, the computer device may also include various network interfaces, power supplies, and the like.

The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.

It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims

1. A tobacco shred width detection method is characterized by comprising the following steps:

splitting the compacted part at the rear end of the tobacco cake along the horizontal direction, and arranging a paperboard at the split position;

2. The tobacco shred width detection method according to claim 1, wherein the step of splitting the compacted part at the rear end of the tobacco cake along the horizontal direction and arranging a paperboard at the split position comprises the following steps:

and controlling the paperboard and the lower copper bar chain of the shredder to be horizontally arranged.

3. The tobacco shred width detection method according to claim 1, wherein the width measurement of the obtained sample by using an image method is used for obtaining the tobacco shred width detection result, and the method comprises the following steps:

4. The tobacco shred width detection method according to claim 1, wherein the width measurement is performed on the obtained sample by using an imaging method to obtain a tobacco shred width detection result, and the method further comprises the following steps:

5. The tobacco shred width detection method according to claim 4, wherein the paired sample T test is performed on each group of detection data, and a target tobacco shred width measuring instrument is selected according to a test result of the paired sample T test to perform width measurement on the sample, and the method comprises the following steps:

6. The tobacco shred width detection method according to claim 1, further comprising:

carrying out projection width measurement on the obtained sample by using a projection method, and taking the projection width measurement result as a reference value;

7. The tobacco shred width detection method according to claim 6, wherein the measuring the projection width of the obtained sample by using the projection method and using the projection width measurement result as a reference value comprises:

in the formula (I), the compound is shown in the specification,

8. A tobacco shred width detection device is characterized by comprising:

9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the cut tobacco width detection method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which when executed by a processor, implements the cut tobacco width detection method according to any one of claims 1 to 7.