CN115308366A - Cigarette quality scoring method based on multiple sensory parameters - Google Patents
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- CN115308366A CN115308366A CN202210832564.6A CN202210832564A CN115308366A CN 115308366 A CN115308366 A CN 115308366A CN 202210832564 A CN202210832564 A CN 202210832564A CN 115308366 A CN115308366 A CN 115308366A
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- 235000019504 cigarettes Nutrition 0.000 title claims abstract description 64
- 230000001953 sensory effect Effects 0.000 title claims abstract description 27
- 238000013077 scoring method Methods 0.000 title claims abstract description 14
- 238000005070 sampling Methods 0.000 claims description 22
- 241000208125 Nicotiana Species 0.000 claims description 17
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims description 17
- 238000000034 method Methods 0.000 claims description 12
- 238000004458 analytical method Methods 0.000 claims description 6
- 239000003205 fragrance Substances 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 6
- 238000007789 sealing Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 5
- 239000003086 colorant Substances 0.000 claims description 3
- 239000002131 composite material Substances 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000011867 re-evaluation Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 239000000779 smoke Substances 0.000 claims description 3
- 235000013599 spices Nutrition 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 238000004806 packaging method and process Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 description 7
- 238000007405 data analysis Methods 0.000 description 6
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a cigarette quality scoring method based on multiple sensory parameters, which comprises the following steps: (1) machine scoring; (2) artificial scoring; and (3) comprehensive scoring. The cigarette quality scoring method based on multiple sensory parameters combines machine scoring with artificial scoring, a scoring group is used for sequentially scoring samples with a full score of 100 and recording the full score, if the samples with consistent scores exist, the repeated scoring is carried out, the repeated scoring is used as a result, the machine scoring and the artificial scoring are added to obtain an average value which is a final scoring, if the samples with consistent scores exist, the repeated scoring is carried out, and if the repeated scoring is still the same, the score with the artificial scoring is used as a result, so that the scoring rigor is improved.
Description
Technical Field
The invention relates to the technical field of cigarette quality scoring, in particular to a cigarette quality scoring method based on multiple sensory parameters.
Background
The quality of the cut tobacco of the cigarette is described mainly by the contents of the whole tobacco rate, the filament rate, the dust content, the moisture, the sensory quality of the cut tobacco of the cigarette and the like in the tobacco industry at present, and the appearance quality of the cut tobacco is detected by defining the factors influencing the appearance quality of the cut tobacco of the cigarette, thereby being beneficial to the research on the appearance quality of the cut tobacco of the cigarette and simultaneously solving the problem of influencing the quality of the cut tobacco of the cigarette in production. Currently, the sensory quality evaluation method for cigarettes in China is generally adopted and judged according to national standards. The current mode is well known in the industry and can be applied specially and well, and is a better mode for checking the conformity of cigarettes and comparing the same characteristics.
However, the method has certain limitations, and the smoking conclusion obtained by applying the method is not easy to intuitively judge the difference of the sensory characteristics of different cigarette products, and completely depends on manual scoring, so that errors are easy to occur, and the rigor of quality scoring is influenced.
Disclosure of Invention
The invention aims to provide a cigarette quality scoring method based on multiple sensory parameters, so as to solve the problems in the background technology.
In order to achieve the purpose, the application is realized through the following technical scheme:
a cigarette quality scoring method based on multiple sensory parameters comprises the following steps:
(1) Machine scoring;
(2) Human scoring
a. Establishing a scoring group;
b. sampling, classifying according to conditions such as brands, specifications, batch numbers, packages and the like, and randomly extracting a certain number of samples according to the requirements of strips to serve as identification and inspection samples;
c. sealing sample records, after sampling, sealing the samples of the samples by a small sampling group, filling a sampling list, and making necessary records on the sampling list;
d. recording the scores, wherein a scoring group sequentially scores and records the samples with a full score of 100, if the samples with consistent scores exist, the samples are re-scored, and the re-scored scores are used as results;
(3) Composite score
Adding the machine score and the manual score to obtain an average value which is a final score, and if samples with consistent scores exist, performing re-evaluation; if the re-scoring scores are still the same, the scores of the artificial scores are taken as the results.
Further, the specific steps of the step (1) are as follows:
11 Establishing a quality scoring system, performing steady-state identification on the real-time data with qualified cigarette appearance, establishing a researched data sample, obtaining factors influencing key quality indexes by analyzing parameters and index correlation of the sample data and applying a statistical modeling method, screening out the key scoring indexes, performing objective weighting on the key scoring indexes based on the screened key evaluation indexes and combining the influence degree of the quality indexes, and establishing a cigarette appearance quality scoring system;
12 Integrating quantitative indexes, classifying images with qualified and unqualified cigarette appearances, normalizing the images into the same size and naming the same, classifying the collected cigarette quality indexes and parameters, integrating the naming of the collected cigarette quality index parameters, and quantifying the quality indexes;
13 Extracting characteristic information, inputting the characteristics of the cigarettes into a generator to extract the characteristic information, and outputting a corresponding characteristic probability graph;
14 And) comparing and scoring, sequentially scoring the colors of the tobacco leaves and the cigarettes and the shapes, humidity, length and diameter of the cigarettes according to the cigarette quality index parameter set, and outputting a scoring result.
Further, the characteristics of the cigarette in the step 13) comprise physical characteristic inspection, mainstream smoke analysis and chemical routine analysis.
Further, the content of step a in step (2) is as follows: sensory scoring is finished by taking a scoring group as a unit, one scoring group consists of 8-10 persons, a group leader is set, the group members are familiar with the sensory scoring process of the cigarettes in advance through strict and meticulous training, are good at sensing general fragrance, mouthfeel and overall feeling, and are also familiar with the fragrance of standard spices, and the sensory quality characteristics and the style characteristics of the members of the same group tend to be consistent after caliber calibration.
Further, the step a of the step (2) comprises the following five cases:
21 1-2 cigarettes in 5 cigarettes or less are randomly drawn from each cigarette to form a sample, and 2 cigarettes are randomly drawn from all the samples to serve as samples;
22 When the number is less than 2, randomly extracting 1-2 pieces from all samples as test samples;
23 When the number is less than 2, 1 or the whole number is extracted as a sample, the number is 5-10, 1 is randomly extracted from each piece to form a sample, and then 2 are randomly extracted from the sample to serve as the sample;
24 10 pieces of 10-50 pieces are randomly extracted, 1 piece of the 10 pieces is randomly extracted from each piece to form a sample, and 2-5 pieces of the sample are randomly extracted to be used as samples;
25 20 pieces were randomly extracted in number of 50 or more, 1 piece was randomly extracted from each piece to form a sample, and 5 to 10 pieces were randomly extracted from the sample to be used as test specimens.
The invention has the beneficial effects that:
1. the method combines machine scoring with artificial scoring, utilizes a scoring group to score and record samples in a full score system of 100 in sequence, if the samples with consistent scores exist, performs re-scoring, takes the re-scoring scores as results, adds the machine scoring and the artificial scoring to obtain an average value which is a final score, if the samples with consistent scores exist, performs re-scoring, and if the re-scoring scores are still the same, takes the scores of the artificial scoring as results, thereby improving the rigor of scoring;
2. after sampling, the sampling small group seals the sampled sample, fills in the sampling list, makes necessary record on the sampling list, records on the corresponding sampling list during scoring, and can check data to intuitively judge the difference of sensory characteristics of different cigarette products.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
FIG. 2 is a flow chart of the method 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
As shown in fig. 1, the cigarette quality scoring method based on multiple sensory parameters is realized based on a scoring system, and the scoring system comprises a monitoring module, a data acquisition module, a data uploading module, a data conversion module, a data comparison module, a data analysis module, a data sharing module, a database, an early warning module, a notification module and a central controller.
The monitoring module is electrically connected with the data acquisition module, the data uploading module, the data conversion module, the data comparison module and the data analysis module sequentially and sequentially are electrically connected, the data analysis module is respectively and electrically and directly connected with the data sharing module, the database, the early warning module and the notification module, and the data analysis module and the data sharing module are respectively and electrically and directly connected with the database.
The monitoring module comprises a real-time monitoring module and a random monitoring module, the real-time monitoring module is directly connected with the early warning module and the notification module through electrical property, and the random monitoring module is directly connected with the data comparison module, the data analysis module and the data sharing module through electrical property.
The data acquisition module comprises an image, a graph, a color, a mass, a size and humidity data acquisition module, and is provided with a camera, an infrared sensor, a gravity sensor, a distance sensor and a humidity sensor.
The data uploading module comprises the scored cigarette data acquired by the data acquisition module and the quality index data which is updated and set in real time.
The data comparison module compares the information behind the data conversion module with the quality index parameter information set according to the actual situation, after the information is analyzed through the data analysis module, two situations occur, one is a quality index which accords with the actual setting, the quality index can be shared or uploaded to a database through the data sharing module, the other is a quality index which does not accord with the actual setting, and the warning is sent out through the early warning module and the notification module and is checked through workers.
As shown in fig. 1, the present application provides a cigarette quality scoring method based on multiple sensory parameters, comprising the steps of:
(1) Machine scoring; the machine scoring steps are:
11 The quality index is obtained by the steps of) establishing a quality scoring system, performing steady-state identification on the real-time data with qualified cigarette appearance, establishing a researched data sample, obtaining factors influencing key quality indexes by analyzing parameters and index correlation of the sample data and applying a statistical modeling method, screening out the key scoring indexes, and performing objective weighting on the key scoring indexes based on the screened key evaluation indexes in combination with the influence degree of the quality indexes to establish the cigarette appearance quality scoring system.
12 Integrating quantitative indexes, classifying images with qualified and unqualified cigarette appearances, normalizing the images into the same size and naming the same, classifying the collected cigarette quality indexes and parameters, integrating the naming of the collected cigarette quality index parameters, and quantifying the quality indexes.
13 Extracting characteristic information, inputting the characteristics of the cigarettes into a generator to extract the characteristic information, and outputting a corresponding characteristic probability graph; the characteristics of the cigarette comprise physical characteristic inspection, mainstream smoke analysis and chemical routine analysis.
14 Comparing and grading, grading the colors of the tobacco leaves and the cigarettes and the shapes, humidity, length and diameter of the cigarettes in sequence according to the cigarette quality index parameter set, and outputting a grading result.
(2) Human scoring
a. A scoring panel was established: sensory scoring is finished by taking a scoring group as a unit, one scoring group consists of 8-10 persons, a group leader is set, the group members are familiar with the sensory scoring process of the cigarettes in advance through strict and meticulous training, are good at sensing general fragrance, mouthfeel and overall feeling, and are also familiar with the fragrance of standard spices, and the sensory quality characteristics and the style characteristics of the members of the same group tend to be consistent after caliber calibration.
b. Sampling, namely classifying according to conditions such as brands, specifications, batch numbers, packages and the like, and randomly extracting a certain number of samples according to the requirements of strips to serve as identification and inspection samples; the sampling method comprises the following five conditions:
21 1-2 pieces of tobacco are randomly drawn from each piece respectively to form a sample, and 2 pieces of tobacco are randomly drawn from all the samples to be used as samples, wherein the number of the tobacco is 5, namely less than 50 cigarettes;
22 When the number is less than 2, randomly extracting 1-2 pieces from all samples as test samples;
23 When the number is less than 2, 1 or the whole number is extracted as a sample, and the number is 5-10, 1 sample is respectively extracted from each sample at random to form a sample, and then 2 samples are extracted from the sample at random to serve as the sample;
24 10 pieces of the sample are randomly extracted, 1 piece of the sample is randomly extracted from each piece of the sample, and 2 to 5 pieces of the sample are randomly extracted to be used as samples;
25 20 pieces were randomly extracted in number of 50 or more, 1 piece was randomly extracted from each piece to form a sample, and 5 to 10 pieces were randomly extracted from the sample to be used as test specimens.
c. And (4) sealing the sample, after sampling, sealing the sample by the sampling small group, filling a sampling list, and making a necessary record on the sampling list.
d. Recording the scores, wherein a scoring group sequentially scores and records the samples with a full score of 100, if the samples with consistent scores exist, the samples are re-scored, and the re-scored scores are used as results;
(3) Composite scoring
Adding the machine score and the manual score to obtain an average value which is a final score, and if samples with consistent scores exist, performing re-evaluation; if the re-scoring scores are still the same, the scores of the artificial scores are taken as the results.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A cigarette quality scoring method based on multiple sensory parameters is characterized by comprising the following steps:
(1) Machine scoring;
(2) Human scoring
a. Establishing a scoring group;
b. sampling, classifying according to brand, specification, batch number and packaging condition, and randomly sampling a certain number of samples according to the requirements of strips to serve as identification and inspection samples;
c. sealing sample records, after sampling, sealing the samples by the sampling small group, filling in a sampling list, and making necessary records on the sampling list;
d. recording the scores, wherein a scoring group sequentially scores and records the samples with a full score of 100, if the samples with consistent scores exist, the samples are re-scored, and the re-scored scores are used as results;
(3) Composite scoring
Adding the machine score and the manual score to obtain an average value which is a final score, and if samples with consistent scores exist, performing re-evaluation; if the re-scoring scores are still the same, the scores of the artificial scores are taken as the results.
2. The cigarette quality scoring method based on multiple sensory parameters according to claim 1, wherein the specific steps of the step (1) are as follows:
11 Establishing a quality scoring system, performing steady-state identification on the real-time data with qualified cigarette appearance, establishing a researched data sample, analyzing the parameters and index correlation of the sample data, obtaining factors influencing the key quality indexes by applying a statistical modeling method, screening out the key scoring indexes, performing objective weighting on the key scoring indexes based on the screened key evaluation indexes and combining the influence degree of the quality indexes, and establishing the cigarette appearance quality scoring system;
12 Integrating quantitative indexes, classifying images with qualified and unqualified cigarette appearances, normalizing the images into the same size and naming, classifying the collected cigarette quality indexes and parameters, integrating the naming of the collected cigarette quality index parameters, and quantizing the quality indexes;
13 Extracting characteristic information, inputting the characteristics of the cigarettes into a generator to extract the characteristic information, and outputting a corresponding characteristic probability graph;
14 Comparing and grading, grading the colors of the tobacco leaves and the cigarettes and the shapes, humidity, length and diameter of the cigarettes in sequence according to the cigarette quality index parameter set, and outputting a grading result.
3. The cigarette quality scoring method based on multiple sensory parameters according to claim 2, wherein the characteristics of the cigarette in step 13) comprise physical characteristic inspection, mainstream smoke analysis, chemical routine analysis.
4. The cigarette quality scoring method based on multiple sensory parameters according to claim 1, wherein the content of the step a in the step (2) is as follows: sensory scoring is finished by taking a scoring group as a unit, one scoring group consists of 8-10 persons, a group leader is set, the group members are familiar with the sensory scoring process of the cigarettes in advance through strict and meticulous training, are good at sensing general fragrance, mouthfeel and overall feeling, and are also familiar with the fragrance of standard spices, and the sensory quality characteristics and the style characteristics of the members of the same group tend to be consistent after caliber calibration.
5. The cigarette quality scoring method based on multiple sensory parameters of claim 1, wherein the step a of the step (2) comprises the following five conditions:
21 1-2 pieces of tobacco are randomly drawn from each piece respectively to form a sample, and 2 pieces of tobacco are randomly drawn from all the samples to be used as samples, wherein the number of the tobacco is 5, namely less than 50 cigarettes;
22 When the number is less than 2, randomly extracting 1-2 pieces from all samples as test samples;
23 When the number is less than 2, 1 or the whole number is extracted as a sample, and the number is 5-10, 1 sample is respectively extracted from each sample at random to form a sample, and then 2 samples are extracted from the sample at random to serve as the sample;
24 10 pieces of the sample are randomly extracted, 1 piece of the sample is randomly extracted from each piece of the sample, and 2 to 5 pieces of the sample are randomly extracted to be used as samples;
25 20 random samples were randomly drawn from each of the 20 samples, and 5 to 10 samples were randomly drawn from the samples as specimens.
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| CN105654241A (en) * | 2015-12-30 | 2016-06-08 | 山东中烟工业有限责任公司 | Multiple-parameter-based cigarette quality qualitative index evaluation method |
| US20200256837A1 (en) * | 2017-10-31 | 2020-08-13 | East China University Of Science And Technology | Electronic nose instrument for sensory quality evaluation of tobacco and tobacco product |
| CN111598853A (en) * | 2020-04-30 | 2020-08-28 | 科大讯飞股份有限公司 | Pneumonia-oriented CT image scoring method, device and equipment |
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