A method for pre-classifying surface blemish defects of a cigarette

By acquiring the appearance and chemical composition of cigarette samples under different wavelength light sources, a color spot defect spectrum library was established, which solved the problem of difficulty in predicting color spot defects on the surface of cigarettes in the existing technology, and achieved the effect of rapid identification and prevention of color spot defects, thus improving the quality of cigarette products.

CN117338037BActive Publication Date: 2025-10-17SHANGHAI TOBACCO GROUP CO LTD
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Patent Information

Application Number
CN202311302965.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-10-09
Publication Date
2025-10-17
Estimated Expiration
2043-10-09

AI Technical Summary

Technical Problem

The lack of existing technology in exploring the relationship between the appearance morphology and chemical composition of color spot defects on the surface of cigarettes makes it difficult to effectively predict and prevent the occurrence of color spot defects.

Method used

By acquiring the appearance and morphological characteristics of cigarette samples under different wavelengths of light, and combining them with chemical analysis methods to establish a color spot defect spectral library, the types of color spots on the surface of cigarettes are identified by comparing the spectra and chemical composition.

Benefits of technology

It enables rapid and convenient identification and prediction of the causes of color spot defects on the surface of cigarettes, improves the ability to prevent color spot defects, and enhances the quality of cigarette products.

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Abstract

The application provides a pre-classification method for surface stain defects of cigarettes, comprising: obtaining a plurality of cigarette samples with stain defects; placing the cigarette samples under light sources of different wavelengths, obtaining the appearance morphology of the stains and counting the characteristic items of different appearance morphologies; detecting the surface stain defects of the cigarette samples, obtaining the chemical components corresponding to the stains of different defect samples; establishing a cigarette surface stain defect atlas library; obtaining the appearance morphology of the to-be-tested cigarette under light sources of different wavelengths, predicting the chemical components of the stains on the to-be-tested cigarette based on the cigarette surface stain defect atlas library, and completing the pre-classification of the stains. The method classifies and identifies the surface stain defects of the cigarettes, provides convenience for subsequent analysis and judgment of the causes of the surface stain defects of the cigarettes, is beneficial to timely taking relevant improvement measures, and is beneficial to improving the prevention ability of the surface stain defects of the cigarettes.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cigarette production, in particular to a pre-classification method for surface color spot defects of cigarettes. BACKGROUND

[0002] The surface color spot of cigarettes is a typical appearance quality defect of cigarettes. GB / T 5606-2005 "Cigarette" defines the color spots such as oil stains, yellow spots, and stains with a length greater than 2.0 mm as B-class defects. From the source of the surface color spot of cigarettes, it is mainly divided into four categories: water-stained cigarettes, essence and sugar-stained cigarettes, oil-stained cigarettes, and tobacco beetle-stained cigarettes. Water-stained cigarettes are mainly caused by uneven moisture during the cigarette processing process, resulting in excessive moisture in local tobacco sheets and tobacco. Essence and sugar-stained cigarettes are mainly caused by insufficient atomization of essence and sugar, resulting in insufficient absorption of tobacco and tobacco sheets. Due to excessive environmental humidity or long storage time, the sugar and other chemicals in the tobacco sheets and tobacco themselves and the liquid solution are dissolved. Oil-stained cigarettes are mainly caused by aging and wear of the sealing parts of the cigarette packaging equipment, resulting in leakage, which causes the lubricating oil to come into contact with the surface of the cigarette. Tobacco beetle-stained cigarettes are mainly caused by the fact that the larvae and adult insects are squeezed and the residual body still adheres to the surface of the tobacco leaf, which penetrates into the cigarette paper after a long period of storage. Therefore, different types of color spots are caused by different reasons.

[0003] At present, cigarette manufacturers only determine whether there are color spot defects on the surface of cigarettes or not, and lack of exploration of the appearance form of color spot defects. At the same time, the category of color spots in the actual production process is pre-judged to further determine the cause of the color spots and guide the specific preventive measures in actual production.

[0004] In order to evaluate the risk of color spot defects on the surface of cigarettes in the cigarette manufacturing process, reduce the frequency of color spot defects, and form preventive measures for color spot defects, the tobacco industry has done a lot of research work.

[0005] In summary, it is necessary to provide an improved technical solution to overcome the shortcomings of the prior art. SUMMARY

[0006] The purpose of the embodiment of the present application is to provide a pre-classification method for surface color spot defects of cigarettes, which can determine the relationship between the appearance form of the surface color spot of cigarettes and the corresponding chemical components, so as to pre-classify the color spot defects and facilitate further research on the color spots.

[0007] The present application specifically provides a pre-classification method for surface color spot defects of cigarettes, comprising the following steps:

[0008] Step S1, obtaining a plurality of cigarette samples with color spot defects;

[0009] Step S2, place the cigarette sample under different wavelength light sources, obtain the appearance morphology of the color spot and count the characteristic items of different appearance morphologies;

[0010] Step S3, detect the color spot on the surface of the defective sample based on the chemical analysis method, obtain the chemical composition corresponding to the color spot of different defective samples, and determine the color spots with the same chemical composition as the same class;

[0011] Step S4, establish a cigarette surface color spot defect atlas based on the appearance morphology and chemical composition of the color spot;

[0012] Step S5, obtain the appearance morphology of the to-be-tested cigarette under different wavelength light sources, obtain the characteristic items of the appearance morphology, compare the characteristic items with the cigarette surface color spot defect atlas, predict the chemical composition of the color spot on the to-be-tested cigarette, and complete the pre-classification of the color spot.

[0013] In an implementable manner, in step S1, the plurality of cigarette samples include cigarettes from different production processes; the production processes include but are not limited to cigarette rolling processes, cigarette packaging processes, boxing processes, and quality detection processes.

[0014] In an implementable manner, in step S2, the light source at least includes visible light and ultraviolet light.

[0015] In an implementable manner, in step S2, at least the following content is included:

[0016] S21, place the cigarette sample under visible light to perform primary classification of the color spot;

[0017] S22, place the cigarette sample under ultraviolet light to perform secondary classification of the color spot.

[0018] In an implementable manner, the wavelength range of the visible light is 400-780 nm, and the wavelength range of the ultraviolet light is 320-400 nm.

[0019] In an implementable manner, in step S2, the characteristic items of the appearance morphology at least include color spot color, edge morphology, fluorescence effect, and fluorescence color.

[0020] In an implementable manner, the color spot color under the visible light source is at least yellow-brown, true yellow, light yellow, and colorless.

[0021] In an implementable manner, the fluorescence color under the ultraviolet light source is at least orange-red and bright blue.

[0022] In an implementable manner, in step S3, at least the following is included: obtaining a chemical composition chromatogram of the color spot of different cigarette samples based on a chemical analysis method, and classifying the color spot based on the chemical composition chromatogram.

[0023] In an implementable manner, in step S4, at least the following is included: the cigarette surface color spot defect atlas includes a corresponding relationship between the appearance form and the chemical composition of the color spot.

[0024] Compared with the prior art, the application has the following beneficial effects:

[0025] In the technical solution of the application, the cigarette surface color spot defect is classified and recognized by the method, which provides convenience for subsequent analysis and judgment of the causes of the cigarette surface color spot defect, is beneficial to timely taking relevant improvement measures, and is beneficial to improving the prevention ability of the cigarette surface color spot defect. The cigarette surface color spot defect atlas in the application is established based on actual production products, which can improve the detection accuracy. When the surface color spot defect physical cigarette is found in the daily smoking, production and manufacturing, and quality detection process, the color spot of the physical cigarette is compared with the cigarette surface color spot defect atlas, the characteristic item of the appearance form of the physical cigarette is determined, and the main cause of the color spot defect is predicted, thereby providing a fast and convenient recognition technology for the cigarette surface color spot defect for consumers, production personnel and quality detection personnel, and having practical significance for the prevention of color spot defects in the manufacturing process and the improvement of the quality of cigarette products. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 is a flowchart of the pre-classification method of the cigarette surface color spot defect of the embodiment of the application.

[0027] Figure 2 is a photo of the color spot of the first sample under visible light and ultraviolet light in the pre-classification method of the cigarette surface color spot defect of the embodiment of the application.

[0028] Figure 3 is a photo of the appearance form of the color spot of the second sample under visible light and ultraviolet light in the pre-classification method of the cigarette surface color spot defect of the embodiment of the application.

[0029] Figure 4 is a photo of the appearance form of the color spot of the third sample under visible light and ultraviolet light in the pre-classification method of the cigarette surface color spot defect of the embodiment of the application.

[0030] Figure 5 is a photo of the appearance form of the color spot of the fourth sample under visible light and ultraviolet light in the pre-classification method of the cigarette surface color spot defect of the embodiment of the application.

[0031] Figure 6These are photographs of the appearance of the color spots of the fifth sample under visible light and ultraviolet light, respectively, in the pre-classification method for color spot defects on the cigarette surface according to an embodiment of the present invention.

[0032] Figure 7 These are photographs of the appearance of the color spots of the sixth sample under visible light and ultraviolet light, respectively, in the pre-classification method for color spot defects on the cigarette surface according to an embodiment of the present invention.

[0033] Figure 8 It is a chemical composition temperament spectrum of the color spot defects of the first sample and the second sample in the pre-classification method of the color spot defects on the cigarette surface of the embodiment of the present invention.

[0034] Figure 9 This is the chemical composition temperament spectrum of the color spot defects of the third sample and the fourth sample in the pre-classification method of color spot defects on the cigarette surface of the embodiment of the present invention.

[0035] Figure 10 This is the chemical composition temperament spectrum of the color spot defects of the fifth and sixth samples in the pre-classification method of color spot defects on the cigarette surface of an embodiment of the present invention.

[0036] Figure 11 These are photographs of the appearance of the color spots on the cigarette to be tested under visible light and ultraviolet light, respectively, in the pre-classification method for color spot defects on the cigarette surface of an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The following is a further detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings. These embodiments are only used to illustrate the present invention and are not intended to limit the present invention.

[0038] In the description of the present invention, it should be noted that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," and "outside" and the like, indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0039] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0040] In addition, in the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0041] As Figure 1 The present application provides a pre-classification method for surface color spot defects of cigarette, comprising the following steps:

[0042] Step S1, obtaining a plurality of cigarette samples with color spot defects in different production processes;

[0043] It should be noted that the cigarette samples include but are not limited to reprocessed cigarettes and mixed cigarettes. The production processes include but are not limited to cigarette rolling process, cigarette wrapping and packaging process, boxing process and quality detection process.

[0044] The sources of cigarette samples with color spot defects include but are not limited to consumer purchase, quality detection agency supervision and inspection, and cigarette wrapping process quality detection.

[0045] Specifically, in the present embodiment, first sample, second sample, third sample, fourth sample, fifth sample and sixth sample are obtained respectively for analysis.

[0046] Step S2, placing the cigarette samples under different wavelength light sources to obtain the appearance of color spots and counting;

[0047] It should be noted that the light source at least includes visible light and ultraviolet light. The wavelength range of the visible light is 400-780nm, and the wavelength range of the ultraviolet light is 320-400nm. Considering that ultraviolet light is relatively easy to obtain in the cigarette wrapping workshop, portable ultraviolet light can be directly used for color spot detection.

[0048] In an implementable manner, in step S2, at least the following contents are included:

[0049] S21, placing the cigarette samples under visible light for primary classification of color spots;

[0050] S22, placing the cigarette samples under ultraviolet light for secondary classification of color spots.

[0051] The cigarette is firstly classified in a first level, and then classified in a second level by using ultraviolet light after the first level classification is completed, so that the detection efficiency is improved, the ultraviolet light is used for detection in a targeted manner, the detection procedure is saved, and the work efficiency is improved.

[0052] It should be noted that the characteristic items of the appearance form at least include: color of color spot, edge form, fluorescence effect, and fluorescence color.

[0053] Specifically, the color of the color spot under a visible light source includes at least: yellow-brown, pure yellow, light yellow, and colorless. The edge form includes but is not limited to: convergent type and diffused type. The fluorescence effect includes: fluorescence effect and no fluorescence effect. The fluorescence color under an ultraviolet light source includes at least: orange-red and bright blue.

[0054] Specifically, in the embodiment, as shown in Figures 2 to 7 the appearance form pictures of a plurality of samples under different wavelengths of light sources are obtained. The appearance form of the color spot is statistically summarized according to the appearance form pictures, as shown in Table 1.

[0055] Table 1: Color spot appearance form summary of cigarette surface color spot defect samples

[0056] Sample Stain color Edge morphology Fluorescent effect Fluorescent color First sample Colorless Diffusion type No fluorescent fluorescence —— Second sample Colorless Diffusion type No fluorescent fluorescence —— Third sample Positive yellow Inward type Fluorescent effect Orange red Fourth sample Positive yellow Inward type Fluorescent effect Orange red Fifth sample Light yellow Diffusion type Fluorescent effect Bright blue Sixth sample Light yellow Diffusion type Fluorescent effect Bright blue

[0057] Step S3: detecting the color spot on the surface of the defective sample based on a chemical analysis method, obtaining the chemical composition corresponding to the color spot of different defective samples, and setting the color spots with the same chemical composition as the same class.

[0058] It should be noted that the chemical analysis method includes but is not limited to: infrared spectroscopy method and gas chromatography-mass spectrometry method.

[0059] Specifically, as shown in Figures 8 to 10 the chemical composition mass spectrum of the color spot of the first sample, the second sample, the third sample, the fourth sample, the fifth sample, and the sixth sample is obtained, as shown in Figure 8 the chemical composition mass spectrum of the color spot of the first sample and the second sample has the same chemical shift, so the chemical composition of the color spot of the first sample and the second sample is the same; as shown in Figure 9 the chemical composition mass spectrum of the color spot of the third sample and the fourth sample has the same chemical shift, so the chemical composition of the color spot of the third sample and the fourth sample is the same; as shown in Figure 10 the chemical composition mass spectrum of the color spot of the fifth sample and the sixth sample has the same chemical shift, so the chemical composition of the color spot of the fifth sample and the sixth sample is the same. According to step S3, the color spots of the first sample, the second sample, the third sample, the fourth sample, the fifth sample, and the sixth sample are pre-classified according to the chemical composition, which in the embodiment specifically includes 3 classes.

[0060] Step S4, establishing a cigarette surface stain defect atlas library based on the appearance form and chemical composition of the stain.

[0061] It should be noted that after comparing the appearance form and chemical composition of the cigarette sample stain, the corresponding relationship between the appearance form and the chemical composition is determined. As shown in Table 2, the stains with the same appearance form correspond to the same chemical composition, and therefore, the cigarette surface stain defect atlas library is determined based on the appearance form pictures of the stains of multiple categories, and the corresponding chemical composition of the stain can be determined according to the appearance form of the stain based on the cigarette surface stain defect atlas library.

[0062] Table 2 Corresponding relationship between appearance form and chemical composition of cigarette surface stain defect

[0063] Sample Appearance morphology corresponding photo Chemical composition corresponding spectrum First sample Figure 2 Figure 8 Second sample Figure 3 Figure 8 Third sample Figure 4 Figure 9 Fourth sample Figure 5 Figure 9 Fifth sample Figure 6 Figure 10 Sixth sample Figure 7 Figure 10

[0064] Step S5, obtaining the feature items of the appearance form of the to-be-tested cigarette under different wavelengths of light sources, and comparing the feature items with the cigarette surface stain defect atlas library to predict the chemical composition of the stain on the to-be-tested cigarette, and completing the pre-classification of the stain.

[0065] Specifically, the feature items of the stain picture of the to-be-tested cigarette are determined, such as stain color, edge form, fluorescence effect, and fluorescence color. In this embodiment, as shown in Table 3, the feature items of the stain of the to-be-tested cigarette under visible light and ultraviolet light are the same as those of the third sample or the fourth sample, and therefore, the chemical composition of the stain of the to-be-tested cigarette is the same as that of the third sample or the fourth sample. Figure 11 Figure 4

[0066] In an implementable manner, in step S5, the prediction of the chemical composition of the stain on the to-be-tested cigarette at least includes the following content: the causes of the stain can be preliminarily determined according to the chemical composition of the to-be-tested cigarette, so as to narrow down the investigation range of the equipment.

[0067] Specifically, according to the actual production experience, the causes of the stains of the first sample and the second sample at least include lubricating grease, rust-proofing agent, and leakage of water-based glue for cigarettes. The causes of the stains of the third sample and the fourth sample at least include the leaching of tobacco components. The causes of the stains of the fifth sample and the sixth sample at least include the migration of tobacco essence, sugar, and wet tobacco.

[0068] ​​In summary, the pre-classification method for surface color spot defects of cigarettes provided by the application has the advantages of convenient operation and rapidness, and can be directly applied to cigarette production, quality inspection and quality management. The classification and identification of surface color spot defects of cigarettes by the method provides convenience for subsequent analysis and judgment of the causes of surface color spot defects of cigarettes, is beneficial to timely taking relevant improvement measures, and is beneficial to improving the prevention ability of surface color spot defects of cigarettes. The surface color spot defect atlas library in the application is established based on actual production products, which can improve the detection accuracy. When surface color spot defect real cigarettes are found in the process of daily smoking, production and manufacturing, and quality detection, the color spots of the real cigarettes are compared with the surface color spot defect atlas library, the characteristic items of the appearance form of the real cigarettes are determined, and the main causes of the color spot defects are predicted, thereby providing a fast and convenient identification technology for surface color spot defects of cigarettes for consumers, production personnel and quality detection personnel, and having practical significance for the prevention of color spot defects in the manufacturing process and the improvement of cigarette product quality.

[0069] The above only describes the preferred embodiments of the application, and it should be noted that those skilled in the art can make several improvements and replacements without departing from the technical principles of the application, and these improvements and replacements should also be considered as the protection scope of the application.

Claims

1. A method for pre-classifying color spots on cigarette surfaces, characterized in that: The following steps are involved: Step S1, obtaining a plurality of cigarette samples having color spot defects; Step S2: placing the cigarette sample under light sources of different wavelengths, obtaining the appearance of the color spots and counting the characteristic items of the different appearances; In step S2, the light source includes at least visible light and ultraviolet light; S21, placing the cigarette sample under visible light for primary classification of color spots; S22, placing the cigarette sample under ultraviolet light to perform secondary classification of color spots; The characteristic items of the appearance at least include: color of spots, edge shape, fluorescence effect, and fluorescence color; Step S3: detecting color spots on the surface of the defective cigarettes using a chemical analysis method to obtain chemical compositions corresponding to the color spots of different defective samples; Step S4: establishing a cigarette surface color spot defect atlas library based on the appearance and chemical composition of the color spots; Step S5: Obtain the appearance of the cigarette to be tested under light sources of different wavelengths, and obtain the characteristic items of the appearance, compare the characteristic items with the cigarette surface color spot defect atlas library, predict the chemical composition of the color spots on the cigarette to be tested, and complete the pre-classification of the color spots.

2. The method for pre-classifying color spots on cigarette surfaces according to claim 1, characterized in that: In step S1, the plurality of cigarette samples include cigarettes from different production processes; the production processes include cigarette rolling and splicing, rolling and packaging, boxing, and quality inspection.

3. The method for pre-classifying color spots on cigarette surfaces according to claim 2, characterized in that: The wavelength range of the visible light is 400-780 nm, and the wavelength range of the ultraviolet light is 320-400 nm.

4. The method for pre-classifying color spots on cigarette surfaces according to claim 3, characterized in that: The color of the spots is the color of the spots under visible light, and at least includes: yellowish brown, pure yellow, light yellow, and colorless.

5. The method for pre-classifying color spots on cigarette surfaces according to claim 3, characterized in that: The fluorescent color is the color of the spots under ultraviolet light source, and at least includes: orange-red and bright blue.

6. The method for pre-classifying color spots on cigarette surfaces according to any one of claims 1 to 5, characterized in that: In step S3, at least the following contents are included: obtaining chemical composition temperament spectra of color spots of different cigarette samples based on a chemical analysis method, and classifying the color spots based on the chemical composition temperament spectra.

7. The method for pre-classifying color spots on cigarette surfaces according to claim 6, characterized in that: In step S4, at least the following contents are included: the cigarette surface color spot defect atlas library includes the correspondence between the appearance morphology and chemical composition of the color spots.

Citation Information

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