CN114376259B - Automatic sorting method for raw tobacco leaves - Google Patents
Automatic sorting method for raw tobacco leaves Download PDFInfo
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- CN114376259B CN114376259B CN202210134871.7A CN202210134871A CN114376259B CN 114376259 B CN114376259 B CN 114376259B CN 202210134871 A CN202210134871 A CN 202210134871A CN 114376259 B CN114376259 B CN 114376259B
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- tobacco
- appearance
- tobacco leaf
- tobacco leaves
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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
- A24B3/16—Classifying or aligning leaves
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/363—Sorting apparatus characterised by the means used for distribution by means of air
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G15/00—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration
- B65G15/30—Belts or like endless load-carriers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Mechanical Engineering (AREA)
- Manufacture Of Tobacco Products (AREA)
Abstract
The invention relates to an automatic sorting method of raw tobacco leaves, which is characterized in that raw tobacco leaves with set grades from a set production area sequentially pass through a conveyor belt of a tobacco leaf sorting system; the image photographing device is arranged above the conveyor belt of the tobacco sorting system and photographs the passing tobacco leaves, and transmits the obtained picture information to the control device; the control device compares the received picture information with pre-stored tobacco leaf appearance classification standard pictures, and respectively transmits corresponding control information to a downstream sorting device to transfer tobacco leaves to a corresponding classification conveyer belt. According to the technical scheme, according to the appearance characteristic difference of the predetermined tobacco leaf raw materials, the correlation between the corresponding appearance, the sensory quality and the main chemical components is determined, an appearance classification standard picture set is obtained, and according to the image detected by the photographing device, raw tobacco leaves conforming to the appearance classification standard picture set are selected, so that the quality of the selected tobacco leaves is relatively stable.
Description
Technical Field
The invention belongs to the technical field of tobacco, and particularly relates to an automatic sorting method for raw tobacco leaves.
Background
Because the tobacco leaf producing areas are widely distributed, the ecological environment of each tobacco leaf producing area is obviously different, and according to the existing tobacco leaf grading standard, the same-grade tobacco leaves in different producing areas are obviously different in organoleptic style characteristics and appearance, and obvious area differences exist. The production, purchase, use and the like of tobacco leaves are inconvenient, so that the quality of the tobacco leaves is fluctuated, and the use of the cigarette formula is affected.
In order to solve the fluctuation of tobacco quality, a series of technologies such as redrying, flavoring and the like are needed to be carried out on purchased tobacco to ensure the quality stability of cigarettes of the same brand as much as possible, and in actual conditions, when the cigarettes of the same brand adopt raw material tobacco leaves in different producing areas, the quality is still greatly different, which is also a problem to be solved at present.
Disclosure of Invention
The invention aims to provide an automatic sorting method for raw tobacco leaves, which aims to solve the problem that the actual quality of the raw tobacco leaves has better and larger difference according to the existing tobacco leaf grade standard.
In order to achieve the above purpose, the technical scheme is realized by the following technical scheme:
an automatic sorting method for raw tobacco leaves comprises the following steps:
s1, raw tobacco leaves with set grades from a set production area sequentially pass through a conveyor belt of a tobacco sorting system;
s2, an image photographing device arranged above a conveyor belt of the tobacco sorting system photographs passing tobacco leaves, and transmits obtained picture information to a control device;
and S3, the control device compares the received picture information with a pre-stored tobacco leaf appearance classification standard picture, and respectively transmits corresponding control information to a downstream sorting device to transfer the tobacco leaves to a corresponding classification conveyer belt.
Further, the tobacco leaf appearance classification standard picture is obtained through the following steps:
s11, determining the sensory quality evaluation score range of raw tobacco corresponding to cut tobacco of a set brand cigarette and the numerical range of main chemical components;
s12, selecting tobacco leaves in a specific tobacco leaf producing area, dividing the tobacco leaves into N parts according to a set personalized appearance index, dividing the tobacco leaves of each part into M grades according to a set grade, and obtaining L groups of tobacco leaf samples, wherein M, N and L are natural numbers, and numbering each group of tobacco leaf samples;
s13, carrying out electronic image acquisition on each group of tobacco samples, carrying out appearance index quantitative evaluation on each group of tobacco samples, and matching the electronic images and the appearance index quantitative values with each group of tobacco sample numbers;
s14, carrying out sensory quality evaluation on each group of tobacco leaf samples, and determining sensory quality evaluation scores of each group of tobacco leaf samples;
s15, comparing the sensory quality evaluation score obtained in the step S14 with the sensory quality evaluation score range in the step S11 to obtain a tobacco sample conforming to the group P;
s16, carrying out main chemical component detection on the P groups of tobacco leaf samples in the step S15, and comparing the data of the chemical components of each group of tobacco leaf samples with the value range of the main chemical components in the step S11 to obtain a tobacco leaf sample conforming to the F group;
s17, carrying out correlation analysis on the F groups of tobacco leaf samples in the step S16 and the corresponding appearance indexes to obtain a set number of highly-considerable appearance indexes, and forming the appearance index quantized values corresponding to each group of tobacco leaf samples into a tobacco leaf appearance classification standard picture set.
Further, after grading the tobacco leaves according to the set grade, numbering all tobacco leaf samples, wherein the number of each tobacco leaf sample comprises a tobacco leaf producing area, a tobacco leaf part, a personalized appearance index and grade.
Further, the appearance index quantitative evaluation in the step S3 comprises color shade, color purity, green content, impurity content, maturity, leaf structure, glossiness, softness, oily feel and identity.
Further, sensory quality evaluation included aroma quality, aroma quantity, miscellaneous gas, irritation, dry feel, sweetness, intensity, and fineness.
Further, the raw tobacco leaves of the set grade are tobacco leaves classified according to the current standard.
Further, the sorting device is an air blowing device or a pushing device.
The beneficial effects of the invention are as follows:
according to the technical scheme, according to the appearance characteristic difference of the predetermined tobacco leaf raw materials, the correlation between the corresponding appearance, the sensory quality and the main chemical components is determined, an appearance classification standard picture set is obtained, and according to the image detected by the photographing device, raw tobacco leaves conforming to the appearance classification standard picture set are selected, so that the quality of the selected tobacco leaves is relatively stable.
Detailed Description
The following examples are given by way of illustration only and are not to be construed as limiting the scope of the invention.
In the technical scheme of the application, a tobacco leaf appearance classification standard picture set is firstly determined and is used as a standard for sorting tobacco leaves which are raw materials in the application.
The technical scheme is illustrated by taking a golden leaf brand cigarette as an example, and researches on tobacco leaf appearance classification standard picture sets are carried out by selecting 5-8 core raw material sources of golden leaf brands.
And determining the sensory quality evaluation score range of the raw tobacco corresponding to the cut tobacco of the golden leaf brand cigarette and the numerical range of the main chemical components. Both ranges are defined by the brand formulation, i.e. existing, and after long-term production and optimization, only within this range, the quality of the cigarettes can be ensured.
The individualized appearance indexes of the tobacco shred of the gold leaf brand cigarette for the tobacco leaf demands of each specific producing area are 3-5, the specific number can be designed according to the demands, and the number can be more than 5, and the realization of the technical scheme is not influenced. The tobacco leaves in the specific producing area are divided into N parts according to the set personalized appearance indexes, 7 parts are selected in the embodiment, and the labels are from 01 to 07. And dividing tobacco leaves of each part into M grades according to the set grade, wherein the tobacco leaves of each part can be same or different according to the requirement, L groups of tobacco leaf samples are obtained, wherein N, M and L are natural numbers, and each group of tobacco leaf samples are numbered.
In the application, when preparing tobacco leaf samples with different grades of a certain index, other indexes are kept basically consistent as much as possible, and the number of each tobacco leaf sample is about 100 tobacco leaves. The personalized appearance index and grade division of the tobacco leaf samples are shown in table 1.
TABLE 1
And marking samples, namely marking each sample by the year + the capital of the county name + the position + the index serial number + the grade serial number, and ensuring that each sample corresponds to the serial number one by one, for example, the serial number of a blue-green sample of a kylin middle color group is 19QLA01001, the serial number of a highly mature sample of a Shao Wushang maturity group is 19SWB06001, and the like.
And (3) carrying out electronic image acquisition on each tobacco sample, carrying out appearance index quantitative evaluation on each tobacco sample, wherein equipment used in the electronic image acquisition is equipment for carrying out appearance detection of the tobacco, no special equipment is used, and then matching the electronic image and appearance index quantitative values with each group of tobacco sample numbers.
Comparing the sensory quality evaluation score of each tobacco sample with the sensory quality evaluation value range of tobacco corresponding to the tobacco shred of the golden leaf cigarette, wherein the tobacco shred corresponding to the tobacco shred of the golden leaf cigarette refers to the raw material tobacco shred corresponding to the tobacco shred of the golden leaf cigarette currently produced, and the score of each item fluctuates when the sensory quality evaluation is carried out, so that the stability of the quality of the golden leaf cigarette can be ensured in the sensory quality evaluation range of the raw material tobacco shred with normal quality of the golden leaf cigarette. The present application is a sensory quality assessment performed by the product formulator.
In the present application, the evaluation index of sensory quality evaluation includes aroma characteristics (aroma quality, aroma amount, miscellaneous gas), taste characteristics (irritation, dry feel, sweet back), smoke characteristics (concentration, fineness), stiffness and quality localization.
Specifically, the sensory quality evaluation total score of the middle tobacco leaves = (aroma quality x 2.5+aroma amount x 2.5+miscellaneous gas x 1.5+irritation x 1+dry feel x 0.5+sweet returning x 1.5+fineness x 0.5) ×1.11.
The sensory quality evaluation total score of the upper tobacco leaves = (aroma quality x 2.5+ aroma amount x 2.5+ impurity amount x 1.5+ irritation x 0.5+ dry feel x 0.5+ sweet returning x 1.5+ concentration x 0.5+ fineness x 0.5) x 1.11.
After comparison, P tobacco leaf samples which accord with the sensory quality evaluation value range are obtained, wherein P is a natural number, and the number of P is less than or equal to the total number of tobacco leaf samples.
And then carrying out chemical component analysis on each tobacco leaf sample in the P tobacco leaf samples, and determining the contents of tobacco leaf starch, nicotine, total nitrogen, potassium, chlorine, total sugar and reducing sugar according to the specified methods of YC/T216-2013, YC/T468-2013, YC/T161-2002, YC/T217-2007, YC/T162-2002 and YC/T159-2002. The protein content was calculated by multiplying the (total nitrogen-nicotine nitrogen) by the protein factor.
The chemical composition data of each tobacco sample is obtained, and the chemical composition data ranges of the tobacco corresponding to the tobacco shreds of the cigarettes of the set brands are compared, so that F tobacco samples conforming to the chemical composition data ranges are obtained as raw material tobacco conforming to the cigarettes of the set brands in a specific tobacco producing area.
And the correlation of the sensory principal value and the main chemical components of the F tobacco samples is utilized, regression models such as stepwise regression, partial least squares and the like are utilized to analyze the contribution degree of the appearance quality of the tobacco to the sensory quality and the main chemical components, and then the correlation analysis and the regression analysis are combined to screen and determine the appearance sorting index of the tobacco in each region.
And according to the collected electronic image set, establishing electronic raw material tobacco leaf appearance albums of gold leaf brand cigarettes in different areas.
And storing the prepared electronic album of the appearance of the raw tobacco leaves in a control device. The utility model provides an in carrying out automatic sorting's system, including the conveyer belt, drive through the motor and rotate for carry the raw materials tobacco leaf that is selected separately, be provided with the camera in the top of conveyer belt, be used for taking a picture the raw materials tobacco leaf of passing through, mainly used shoots the outward appearance characteristic of raw materials tobacco leaf, of course, if tobacco leaf outward appearance classification includes the index that can not be clear by making a video recording, then can set up the device that prior art was used for outward appearance detection simultaneously on the conveyer belt, and the device that camera and outward appearance detected all is connected with controlling means signal of telecommunication, in this application, controlling means is control chip, the industrial computer etc. that present conventional used.
At least one sorting device is arranged in the downstream direction of the conveyor belt, and the sorting device is electrically connected with the output end of the control device, in the application, the sorting device can be an air blowing device or a pushing device, wherein the air blowing device is controlled by an electromagnetic valve, the pushing device drives a pushing plate type device for an air cylinder, raw tobacco leaves on the conveyor belt are pushed and closed to corresponding sorting conveyor belts, and in the application, at least one sorting conveyor belt is arranged and is parallel to the conveyor belt or one end of the sorting conveyor belt is opposite to the conveyor belt. When the classifying conveyor belt is one, only the raw tobacco leaves on the conveyor belt, which are in accordance with the tobacco leaf appearance classifying standard picture set, are transferred to the classifying conveyor belt, and the rest raw tobacco leaves continue to move on the conveyor belt.
When the classification conveyor belt is two or more, the tobacco leaf appearance classification standard picture set can be divided into two or more parts from high to low according to the similarity with the raw material tobacco leaves of the cigarettes of the set brands, and the parts correspond to the data of the classification conveyor belt. So as to realize more accurate sorting of raw tobacco leaves.
Raw tobacco leaves of set grades from a set production area sequentially pass through a conveyor belt of a tobacco sorting system.
The image photographing device is arranged above the conveyor belt of the tobacco sorting system and photographs the passing tobacco leaves, and transmits the obtained picture information to the control device.
The control device compares the received picture information with pre-stored tobacco leaf appearance classification standard pictures, and respectively transmits corresponding control information to a downstream sorting device to transfer tobacco leaves to a corresponding classification conveyer belt.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may be modified or some technical features may be replaced with others, which may not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. The automatic sorting method for the raw tobacco leaves is characterized by comprising the following steps of:
s1, raw tobacco leaves with set grades from a set production area sequentially pass through a conveyor belt of a tobacco sorting system;
s2, an image photographing device arranged above a conveyor belt of the tobacco sorting system photographs passing tobacco leaves, and transmits obtained picture information to a control device;
s3, the control device compares the received picture information with a pre-stored tobacco leaf appearance classification standard picture, and respectively transmits corresponding control information to a downstream sorting device to transfer tobacco leaves to a corresponding classification conveyer belt;
the tobacco leaf appearance classification standard picture is obtained through the following steps:
s11, determining the sensory quality evaluation score range of raw tobacco corresponding to cut tobacco of a set brand cigarette and the numerical range of main chemical components;
s12, selecting tobacco leaves in a specific tobacco leaf producing area, dividing the tobacco leaves into N parts according to a set personalized appearance index, dividing the tobacco leaves of each part into M grades according to a set grade, and obtaining L groups of tobacco leaf samples, wherein M, N and L are natural numbers, and numbering each group of tobacco leaf samples;
s13, carrying out electronic image acquisition on each group of tobacco samples, carrying out appearance index quantitative evaluation on each group of tobacco samples, and matching the electronic images and the appearance index quantitative values with each group of tobacco sample numbers;
s14, carrying out sensory quality evaluation on each group of tobacco leaf samples, and determining sensory quality evaluation scores of each group of tobacco leaf samples;
s15, comparing the sensory quality evaluation score obtained in the step S14 with the sensory quality evaluation score range in the step S11 to obtain a tobacco sample conforming to the group P;
s16, carrying out main chemical component detection on the P groups of tobacco leaf samples in the step S15, and comparing the data of the chemical components of each group of tobacco leaf samples with the value range of the main chemical components in the step S11 to obtain a tobacco leaf sample conforming to the F group;
s17, carrying out correlation analysis on the F groups of tobacco leaf samples in the step S16 and the corresponding appearance indexes to obtain a set number of highly correlated appearance indexes, and forming the appearance index quantized values corresponding to each group of tobacco leaf samples into a tobacco leaf appearance classification standard picture set.
2. The automated raw tobacco sorting method of claim 1, wherein after sorting tobacco leaves according to a set grade, all tobacco leaf samples are numbered, and each tobacco leaf sample number includes a tobacco leaf producing area, a tobacco leaf portion, a personalized appearance index, and a grade.
3. The automated raw tobacco sorting method of claim 1, wherein the quantitative evaluation of the appearance index includes color shade, color purity, blushing, impurity, maturity, leaf structure, gloss, softness, smoothness and identity.
4. The automated raw tobacco sorting method of claim 1, wherein the sensory quality evaluation includes aroma quality, aroma quantity, miscellaneous gases, irritation, dry feel, back sweetness, concentration and fineness.
5. The automated raw tobacco sorting method of claim 1, wherein the raw tobacco of the set grade is tobacco graded according to current standards.
6. The automated raw tobacco sorting method according to claim 1, wherein the sorting device is an air blowing device or a pushing device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210134871.7A CN114376259B (en) | 2022-02-14 | 2022-02-14 | Automatic sorting method for raw tobacco leaves |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210134871.7A CN114376259B (en) | 2022-02-14 | 2022-02-14 | Automatic sorting method for raw tobacco leaves |
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| CN114376259A CN114376259A (en) | 2022-04-22 |
| CN114376259B true CN114376259B (en) | 2023-05-16 |
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Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4657144A (en) * | 1985-02-25 | 1987-04-14 | Philip Morris Incorporated | Method and apparatus for detecting and removing foreign material from a stream of particulate matter |
| CN107589228B (en) * | 2017-11-08 | 2019-12-13 | 江苏中烟工业有限责任公司 | Method for predicting industrial applicability of sorted tobacco leaves through tobacco leaf characteristic appearance indexes |
| CN109877050B (en) * | 2019-04-24 | 2024-08-06 | 江苏启赋信息科技有限公司 | Automatic tobacco leaf sorting machine |
| CN110170461A (en) * | 2019-06-05 | 2019-08-27 | 常熟市百联自动机械有限公司 | Tobacco leaf Automated Sorting System |
| CN111838742A (en) * | 2020-08-13 | 2020-10-30 | 河南中烟工业有限责任公司 | Formula threshing method based on classified use of tobacco flakes of different specifications |
| CN111990677A (en) * | 2020-08-26 | 2020-11-27 | 中国烟草总公司郑州烟草研究院 | Threshing and redrying process based on automatic raw tobacco selection |
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