CN116519915B - Performance analysis method and system for lining paper for cigarettes - Google Patents
Performance analysis method and system for lining paper for cigarettes Download PDFInfo
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- CN116519915B CN116519915B CN202310451634.8A CN202310451634A CN116519915B CN 116519915 B CN116519915 B CN 116519915B CN 202310451634 A CN202310451634 A CN 202310451634A CN 116519915 B CN116519915 B CN 116519915B
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- 235000019504 cigarettes Nutrition 0.000 title claims abstract description 230
- 238000004458 analytical method Methods 0.000 title claims abstract description 103
- 238000012360 testing method Methods 0.000 claims abstract description 222
- 238000011056 performance test Methods 0.000 claims abstract description 120
- 238000001514 detection method Methods 0.000 claims abstract description 76
- 238000005452 bending Methods 0.000 claims abstract description 64
- 238000002474 experimental method Methods 0.000 claims abstract description 54
- 238000000034 method Methods 0.000 claims abstract description 32
- 230000007613 environmental effect Effects 0.000 claims description 39
- 238000011156 evaluation Methods 0.000 claims description 34
- 238000004519 manufacturing process Methods 0.000 claims description 32
- 238000012216 screening Methods 0.000 claims description 29
- 230000006978 adaptation Effects 0.000 claims description 14
- 206010013496 Disturbance in attention Diseases 0.000 claims description 13
- 241000208125 Nicotiana Species 0.000 claims description 12
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims description 12
- 238000005070 sampling Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 21
- 238000012545 processing Methods 0.000 abstract description 2
- 238000004806 packaging method and process Methods 0.000 description 5
- 239000000796 flavoring agent Substances 0.000 description 3
- 235000019634 flavors Nutrition 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000000853 adhesive Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000011888 foil Substances 0.000 description 1
- 239000003205 fragrance Substances 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/34—Paper
- G01N33/346—Paper sheets
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/20—Investigating strength properties of solid materials by application of mechanical stress by applying steady bending forces
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0001—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00 by organoleptic means
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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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- Chemical & Material Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Cigarettes, Filters, And Manufacturing Of Filters (AREA)
Abstract
The invention discloses a performance analysis method and system for lining paper for cigarettes, and relates to the field of data processing, wherein the method comprises the following steps: obtaining a first detection image set; performing a test experiment of testing the lining paper through the test cigarette, and recording an experiment result; generating a first performance test result according to the pre-test data and the experimental result; acquiring a second detection image set by the image acquisition device through the test lining paper image after the bending test; and generating a second performance test result, and generating a performance analysis result of the test lining paper by combining the first performance test result. The technical problems of low accuracy and low comprehensiveness of performance analysis aiming at the lining paper for cigarettes in the prior art and poor performance analysis effect of the lining paper for cigarettes are solved. The technical effects of improving the accuracy and the comprehensiveness of performance analysis of the lining paper for cigarettes and improving the quality of performance analysis of the lining paper for cigarettes are achieved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a performance analysis method and system for lining paper for cigarettes.
Background
The lining paper for cigarettes is one of important materials for cigarette packaging. The performance of the lining paper for cigarettes has very important significance for moisture resistance, fragrance retention, mildew resistance and the like of cigarettes. How to perform high-quality performance analysis on the lining paper for cigarettes is widely paid attention to. In the prior art, the technical problems of low accuracy and low comprehensiveness of performance analysis aiming at the lining paper for cigarettes, and poor performance analysis effect of the lining paper for cigarettes are caused.
Disclosure of Invention
The application provides a performance analysis method and system for lining paper for cigarettes. The technical problems of low accuracy and low comprehensiveness of performance analysis aiming at the lining paper for cigarettes in the prior art and poor performance analysis effect of the lining paper for cigarettes are solved. The technical effects of improving the accuracy and the comprehensiveness of the performance analysis of the lining paper for the cigarettes and improving the performance analysis quality of the lining paper for the cigarettes by carrying out multidimensional performance analysis on the lining paper for the cigarettes are achieved.
In view of the above problems, the present application provides a method and a system for analyzing performance of lining paper for cigarettes.
In a first aspect, the present application provides a method for analyzing performance of a liner paper for a cigarette, wherein the method is applied to a system for analyzing performance of a liner paper for a cigarette, and the method comprises: sampling to obtain test lining paper in N production batches according to the determined production information of the lining paper, wherein N is a positive integer greater than 1; performing initial image acquisition on the test lining paper to obtain a first detection image set; selecting a test cigarette, and collecting pre-test data of the test cigarette; carrying out a test experiment of the test lining paper through the test cigarette, and recording an experiment result, wherein the experiment result comprises a taste detection result, cigarette humidity data and test time; generating a first performance test result according to the pre-test data and the experimental result; performing a bending experiment on the test lining paper, and acquiring the image of the test lining paper after the bending test by the image acquisition device to obtain a second detection image set; generating a second performance test result according to the first detection image set and the second detection image set; and generating a performance analysis result of the test lining paper through the first performance test result and the second performance test result.
In a second aspect, the present application also provides a performance analysis system for a liner paper for cigarettes, wherein the system comprises: the sampling module is used for sampling to obtain test lining paper in N production batches according to the determined production information of the lining paper, wherein N is a positive integer greater than 1; the initial image acquisition module is used for carrying out initial image acquisition on the test lining paper to obtain a first detection image set; the data acquisition module is used for selecting a test cigarette and acquiring pre-test data of the test cigarette; the test experiment module is used for carrying out a test experiment of the test lining paper through the test cigarettes and recording an experiment result, wherein the experiment result comprises a taste detection result, cigarette humidity data and test time; the first performance test result generation module is used for generating a first performance test result according to the pre-test data and the experimental result; the second detection image acquisition module is used for carrying out bending experiments on the test lining paper and acquiring the test lining paper images after bending tests through the image acquisition device to obtain a second detection image set; the second performance test result generation module is used for generating a second performance test result according to the first detection image set and the second detection image set; and the performance analysis result generation module is used for generating the performance analysis result of the test lining paper through the first performance test result and the second performance test result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
acquiring a first detection image set by carrying out initial image acquisition on the test lining paper; performing a test experiment of testing the lining paper through the test cigarette, and recording an experiment result; generating a first performance test result by comparing pre-test data of the test cigarettes with the test result; the method comprises the steps of obtaining a second detection image set by carrying out a bending experiment on the test lining paper and carrying out image acquisition on the test lining paper after bending test through an image acquisition device; generating a second performance test result according to the first detection image set and the second detection image set; and carrying out cigarette adaptation performance identification on the first performance test result and the second performance test result through the performance analysis model to obtain the performance analysis result of the test lining paper. The technical effects of improving the accuracy and the comprehensiveness of the performance analysis of the lining paper for the cigarettes and improving the performance analysis quality of the lining paper for the cigarettes by carrying out multidimensional performance analysis on the lining paper for the cigarettes are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is apparent that the figures in the following description relate only to some embodiments of the present disclosure and are not limiting of the present disclosure.
FIG. 1 is a schematic flow chart of a method for analyzing performance of a liner paper for cigarettes according to the present application;
FIG. 2 is a schematic flow chart of a performance analysis result of a test liner paper obtained in the performance analysis method of the liner paper for cigarettes;
fig. 3 is a schematic structural diagram of a performance analysis system for a tobacco lining paper according to the present application.
Reference numerals illustrate: the system comprises a sampling module 11, an initial image acquisition module 12, a data acquisition module 13, a test experiment module 14, a first performance test result generation module 15, a second detection image acquisition module 16, a second performance test result generation module 17 and a performance analysis result generation module 18.
Detailed Description
The application provides a performance analysis method and system for lining paper for cigarettes. The technical problems of low accuracy and low comprehensiveness of performance analysis aiming at the lining paper for cigarettes in the prior art and poor performance analysis effect of the lining paper for cigarettes are solved. The technical effects of improving the accuracy and the comprehensiveness of the performance analysis of the lining paper for the cigarettes and improving the performance analysis quality of the lining paper for the cigarettes by carrying out multidimensional performance analysis on the lining paper for the cigarettes are achieved.
Example 1
Referring to fig. 1, the present application provides a performance analysis method for a piece of lining paper for a cigarette, wherein the method is applied to a performance analysis system for a piece of lining paper for a cigarette, the system is in communication connection with an image acquisition device, and the method specifically includes the following steps:
step S100: sampling to obtain test lining paper in N production batches according to the determined production information of the lining paper, wherein N is a positive integer greater than 1;
step S200: performing initial image acquisition on the test lining paper to obtain a first detection image set;
specifically, according to the production information of the lining paper, each production batch of the N production batches is randomly sampled for M times without being replaced, so as to obtain the test lining paper. And further, carrying out image acquisition on the test lining paper through an image acquisition device to obtain a first detection image set. The production information of the lining paper comprises production index information such as aluminum foil thickness, lining paper size, adhesive strength, water content and the like of the lining paper for cigarettes. Each of the N production lots includes a plurality of tobacco lining papers, and the plurality of tobacco lining papers of the N production lots have the same production information. The test liner paper comprises Y sample liner papers for cigarettes. And y=n×m, N, M are positive integers greater than 1. The value of M may be adaptively set. The image acquisition device can be any type of image pickup device or combination of any type of image pickup device in the prior art, wherein the image pickup device can acquire and acquire image information. The first detection image set comprises Y pieces of image data information corresponding to Y pieces of sample lining paper for cigarettes. The method achieves the technical effects of determining the test lining paper, carrying out initial image acquisition on the test lining paper to obtain a first detection image set, and laying a foundation for the subsequent performance analysis of the test lining paper.
Step S300: selecting a test cigarette, and collecting pre-test data of the test cigarette;
step S400: carrying out a test experiment of the test lining paper through the test cigarette, and recording an experiment result, wherein the experiment result comprises a taste detection result, cigarette humidity data and test time;
specifically, the test cigarettes are determined based on the self-adaptive setting of Y sample cigarette lining papers in the test lining papers, and pre-test data of the test cigarettes are collected. The test cigarettes comprise Y sample test cigarettes. The Y sample test cigarettes are the same plurality of arbitrary cigarettes. The pre-test data comprise Y cigarette sample data corresponding to Y sample test cigarettes. Each cigarette sample data comprises a cigarette initial taste concentration parameter and a cigarette initial humidity parameter corresponding to each sample test cigarette. Further, the test liner paper is subjected to a test experiment through the test cigarettes, namely, in the same packaging environment, the Y sample test cigarettes are packaged according to the Y sample cigarette liner paper, and the packaged Y sample test cigarettes are obtained. And storing the packaged Y sample test cigarettes based on a plurality of preset storage environments, and collecting taste concentration parameters and cigarette humidity parameters of the packaged Y sample test cigarettes after the test time is reached to obtain an experimental result. For example, the plurality of preset storage environments includes 3 preset storage environments. And grouping the packaged Y sample test cigarettes based on 3 preset storage environments to obtain 3 groups of sample test cigarettes. Each set of sample test cigarettes comprises Y/3 sample test cigarettes. And respectively storing the 3 groups of sample test cigarettes into 3 preset storage environments, and respectively collecting taste concentration parameters and cigarette humidity parameters of each sample test cigarette in the 3 groups of sample test cigarettes after the test time is reached to obtain an experiment result.
Wherein the experimental results comprise taste detection results, cigarette humidity data and test time. The taste detection result includes taste concentration data. The taste concentration data comprises a plurality of cigarette taste concentration parameters corresponding to the packaged Y sample test cigarettes after the test time is reached by storing the packaged Y sample test cigarettes based on a plurality of preset storage environments. The cigarette humidity data comprise a plurality of cigarette humidity parameters corresponding to the packaged Y sample test cigarettes based on a plurality of preset storage environments. The plurality of preset storage environments and the test time can be determined by self-adaptive setting. The method achieves the technical effects that the test is carried out on the test lining paper through the test cigarette, and an accurate recorded test result is obtained, so that the accuracy and the reliability of the performance analysis of the lining paper for cigarettes are improved.
Step S500: generating a first performance test result according to the pre-test data and the experimental result;
further, step S500 of the present application further includes:
step S510: obtaining taste concentration data from the taste detection result;
step S520: obtaining a taste concentration loss value by comparing the taste concentration data with the pre-test data;
Step S530: performing humidity comparison based on the cigarette humidity data and the pre-test data to obtain a humidity level difference;
step S540: the first performance test result is obtained from the taste concentration loss value and the humidity level differential.
Specifically, the taste concentration data is extracted from the taste detection result, and the difference value between the plurality of cigarette taste concentration parameters in the taste concentration data and the corresponding plurality of cigarette initial taste concentration parameters in the pre-test data is calculated to obtain the taste concentration loss value. And further, carrying out difference calculation on a plurality of cigarette humidity parameters in the cigarette humidity data and a plurality of corresponding cigarette initial humidity parameters in the pre-test data to obtain a humidity level difference level, and obtaining a first performance test result by combining the taste concentration loss value. Wherein the taste intensity loss value comprises a plurality of differences between a plurality of tobacco taste intensity parameters in the taste intensity data and a corresponding plurality of tobacco initial taste intensity parameters in the pre-test data. The humidity level differential stage includes a plurality of differences between a plurality of cigarette humidity parameters in the cigarette humidity data and a plurality of corresponding cigarette initial humidity parameters in the pre-test data. The first performance test results include a taste concentration loss value, a humidity level differential. The technical effects of obtaining an accurate first performance test result and improving the accuracy of the performance analysis of the lining paper for the cigarettes by comparing and analyzing the pre-test data and the experimental result are achieved.
Further, step S500 of the present application further includes:
step S550: collecting and obtaining an experimental environment of the test experiment, clustering the environmental humidity based on the experimental environment, and obtaining a clustering identifier;
step S560: generating a dampproof performance test result of different humidity environments through the cluster identification and the humidity level difference level;
step S570: and obtaining the first performance test result through the moisture resistance test result.
Specifically, information acquisition is performed on a plurality of preset storage environments, and an experimental environment of a test experiment is obtained. The experimental environment comprises a plurality of actual environment humidity information corresponding to a plurality of preset storage environments. And carrying out environment humidity clustering on the experimental environment, namely classifying a plurality of preset storage environments with the same environment humidity into one type to obtain a cluster identifier. The cluster identity comprises a plurality of cluster identity information. Each cluster identification information comprises a plurality of preset storage environments with the same environment humidity. Further, the cluster identification is matched with the humidity level difference level, so that the dampproof performance test results of different humidity environments are obtained, and the dampproof performance test results are added to the first performance test results. Wherein the moisture resistance test results comprise a plurality of humidity environment-moisture resistance test results. Each humidity environment-moisture resistance test result comprises a humidity level difference level corresponding to each cluster identification information and change condition information of the humidity level difference level corresponding to each cluster identification information. The technical effects of obtaining a dampproof performance test result and improving the comprehensiveness of the performance analysis of the lining paper for cigarettes by carrying out environmental humidity clustering and humidity level difference level analysis on an experimental environment are achieved.
Further, step S500 of the present application further includes:
step S580: summarizing the experimental results, and generating comprehensive evaluation characteristics based on experimental data corresponding to each experimental result;
further, step S580 of the present application further includes:
step S581: constructing an initial influence value set of experimental characteristics;
step S582: obtaining experimental characteristic values of all experimental results based on the experimental data;
step S583: and carrying out comprehensive evaluation characteristic calculation on each experimental result through the experimental characteristic value and the initial influence value set.
Specifically, initial environment information acquisition is performed based on a packaging environment and a plurality of preset storage environments, and initial environment data are obtained. And taking the initial environmental data as experimental characteristics, and obtaining an initial influence value set by carrying out cigarette influence degree evaluation on the initial environmental data. Based on the packaging environment and a plurality of preset storage environments, real-time environment information acquisition is carried out on experimental data, and real-time environment data are obtained. And (5) carrying out cigarette influence degree evaluation on the real-time environment data to obtain an experimental characteristic value. And based on the experimental characteristic values and the initial influence value set, carrying out comprehensive evaluation characteristic calculation on each experimental result to obtain comprehensive evaluation characteristics.
The initial environment data comprises initial environment information such as package environment, a plurality of initial environment temperatures corresponding to a plurality of preset storage environments, a plurality of initial environment humidity and the like. The initial influence value set comprises a plurality of initial environmental cigarette taste concentration influence values and a plurality of initial environmental cigarette humidity influence values corresponding to the initial environmental data. The larger the influence value of the humidity of the initial environmental cigarette is, the stronger the humidity interference of the corresponding initial environmental humidity to the sample test cigarette is. The real-time environment data comprise a packaging environment, a plurality of pieces of real-time environment temperature information and a plurality of pieces of real-time environment humidity information corresponding to a plurality of preset storage environments. The experimental characteristic values comprise a plurality of environmental cigarette taste concentration influence values and a plurality of environmental cigarette humidity influence values corresponding to the real-time environmental data. Illustratively, historical data queries are performed based on the initial environmental data, the real-time environmental data, and multiple sets of build data are obtained. Each set of construction data includes historical initial environmental data, historical real-time environmental data, and a plurality of historical initial environmental cigarette taste concentration impact values, a plurality of historical initial environmental cigarette humidity impact values, a plurality of historical environmental cigarette taste concentration impact values, a plurality of historical environmental cigarette humidity impact values. And (3) continuously self-training and learning the plurality of groups of construction data to a convergence state, so as to obtain the experimental environment influence analysis model. The experimental environment influence analysis model comprises an input layer, an implicit layer and an output layer. The experimental environment influence analysis model has the function of intelligent environmental cigarette influence identification on input experimental environment data. The comprehensive evaluation characteristics comprise a plurality of environment cigarette taste concentration comprehensive influence values and a plurality of environment cigarette humidity comprehensive influence values corresponding to the Y sample test cigarettes. By way of example, the method comprises the step of respectively adding and calculating a plurality of initial environmental cigarette taste concentration influence values and a plurality of environmental cigarette taste concentration influence values corresponding to the same sample test cigarette, so as to obtain a plurality of environmental cigarette taste concentration comprehensive influence values. And in the same way, adding and calculating a plurality of initial environmental cigarette humidity influence values and a plurality of initial environmental cigarette humidity influence values corresponding to the same sample test cigarette respectively to obtain a plurality of environmental cigarette humidity comprehensive influence values. The comprehensive technical effect of obtaining accurate comprehensive evaluation characteristics by analyzing the cigarette influence of experimental environment information of the test experiment is achieved, so that the reliability of result compensation of the first performance test result is improved.
Step S590: screening the experimental result through the comprehensive evaluation characteristics, and generating a third performance test result through the screening result and the pre-test data;
step S5100: and performing result compensation on the first performance test result through the third performance test result.
Specifically, whether the comprehensive influence values of the plurality of environmental cigarette taste concentration in the comprehensive evaluation feature meet the preset comprehensive influence interval of the environmental cigarette taste concentration is judged, and meanwhile, whether the comprehensive influence values of the plurality of environmental cigarette humidity in the comprehensive evaluation feature meet the preset comprehensive influence interval of the environmental cigarette humidity is judged. When the comprehensive influence value of the environmental cigarette taste concentration meets the preset comprehensive influence interval of the environmental cigarette taste concentration, and the comprehensive influence value of the environmental cigarette humidity meets the preset comprehensive influence interval of the environmental cigarette humidity, setting the comprehensive influence value of the environmental cigarette taste concentration and a sample test cigarette corresponding to the comprehensive influence value of the environmental cigarette humidity as a screening test cigarette, and adding the cigarette taste concentration parameter and the cigarette humidity parameter in an experimental result corresponding to the screening test cigarette to the screening result. The screening result comprises a plurality of screening cigarette taste concentration parameters and a plurality of screening cigarette humidity parameters. The plurality of screening cigarette taste concentration parameters and the plurality of screening cigarette humidity parameters comprise a plurality of cigarette taste concentration parameters and a plurality of cigarette humidity parameters in experimental results corresponding to the plurality of screening test cigarettes. The plurality of screening test cigarettes comprise a plurality of sample test cigarettes of which the environment cigarette taste concentration comprehensive influence value meets a preset environment cigarette taste concentration comprehensive influence interval and the environment cigarette humidity comprehensive influence value meets a preset environment cigarette humidity comprehensive influence interval. Further, difference value calculation is carried out on the plurality of screening cigarette taste concentration parameters in the screening result and the corresponding plurality of cigarette initial taste concentration parameters in the pre-test data, so as to obtain a corrected taste concentration loss value. And carrying out difference value calculation on a plurality of screening cigarette humidity parameters in the screening result and a plurality of corresponding cigarette initial humidity parameters in the pre-test data to obtain a corrected humidity level difference level, obtaining a third performance test result by combining the corrected taste concentration loss value, and adding the third performance test result into the first performance test result.
The preset environment cigarette taste concentration comprehensive influence interval comprises preset and determined environment cigarette taste concentration comprehensive influence value range information. The preset environment cigarette humidity comprehensive influence interval comprises preset and determined environment cigarette humidity comprehensive influence value range information. The third performance test result includes a corrected taste concentration loss value, a corrected humidity level differential. The corrected flavor intensity loss value includes a plurality of difference information between a plurality of screening tobacco flavor intensity parameters in the screening result and a plurality of tobacco initial flavor intensity parameters in the corresponding pre-test data. The modified humidity level difference level comprises a plurality of difference information between a plurality of screened cigarette humidity parameters in the screening result and a plurality of corresponding cigarette initial humidity parameters in the pre-test data. The first performance test results include a taste concentration loss value, a humidity level difference, a moisture resistance test result, and a third performance test result. The technical effects of adaptively screening experimental results through comprehensive evaluation characteristics, obtaining screening results, comparing and analyzing the screening results with pre-test data to generate a third performance test result, and improving the accuracy of performance analysis of the lining paper for cigarettes are achieved.
Step S600: performing a bending experiment on the test lining paper, and acquiring the image of the test lining paper after the bending test by the image acquisition device to obtain a second detection image set;
step S700: generating a second performance test result according to the first detection image set and the second detection image set;
further, step S700 of the present application further includes:
step S710: performing damage feature identification on the first detection image set to obtain a damage feature identification result;
step S720: determining a product production stability performance parameter according to the damage probability and the damage degree in the damage characteristic identification result;
step S730: performing image recognition after bending on the second detection image set to obtain bent image evaluation characteristics;
step S740: obtaining image features at the same position before bending through the first detection image set, performing feature compensation on the image evaluation features after bending through the image features, and generating a bending performance test result;
step S750: and generating the second performance test result through the production stability performance parameter and the bending performance test result.
Specifically, the first detection image set is subjected to damage feature identification, and a damage feature identification result is obtained. The damage characteristic identification result comprises Y lining paper damage identification results corresponding to Y pieces of image data information in the first detection image set. The damage identification result of each piece of lining paper comprises whether the lining paper for each sample cigarette is damaged or not, and damage parameters such as damage positions, damage areas, damage degrees and the like corresponding to the lining paper for each sample cigarette. Illustratively, the degree of breakage comprises a ratio between a breakage area and a total area of the corresponding sample tobacco liner. Further, the Y sample lining papers for cigarettes are matched based on the damage characteristic identification result, and a plurality of damaged sample lining papers for cigarettes are obtained. The plurality of broken sample tobacco lining papers include a plurality of sample tobacco lining papers in which breakage exists among the Y sample tobacco lining papers. And counting the number of the lining papers for the cigarettes with the plurality of damaged samples to obtain the number of the initial damaged samples. And calculating the ratio of the number of the initial damaged samples to Y to obtain damage probability, and combining a damage characteristic identification result to obtain the production stability performance parameter of the product. The product production stability performance parameters comprise damage probability and damage characteristic identification results. The breakage probability includes a ratio between an initial number of broken samples and Y.
Further, bending experiments are performed on Y pieces of sample cigarette lining paper in the test lining paper respectively, namely, after bending of the Y pieces of sample cigarette lining paper in the same position and with the same strength is performed, Y pieces of sample cigarette lining paper after the bending experiments are obtained. And carrying out image acquisition on Y sample lining papers for cigarettes after bending experiments through an image acquisition device to obtain a second detection image set. The second set of detection images includes Y folded images. The Y bent images comprise image data information corresponding to Y sample lining papers for cigarettes after bending experiments. And further, identifying Y folded images in the second detection image set to obtain folded image evaluation characteristics. The post-bending image evaluation features comprise Y post-bending image feature information. The characteristic information of each folded image comprises crease positions, crease lengths, crease depths, real-time breakage positions, real-time breakage areas, real-time breakage degrees and other breakage real-time parameters in each folded image. And then, obtaining image features at the same position before bending through the first detection image set, performing feature compensation on the image features at the same position before bending and the image evaluation features after bending, namely performing change analysis on the image features at the same position before bending and the image evaluation features after bending to generate a bending performance test result, and combining production stability performance parameters to obtain a second performance test result. The co-located image features before bending comprise a first set of detection images. The bending performance test result comprises an image evaluation characteristic after bending and a change condition between the image evaluation characteristic after bending and the image characteristic at the same position before bending. The second performance test results include production stability performance parameters and bending performance test results. The technical effects of obtaining an accurate second performance test result and improving the comprehensiveness of the performance analysis of the lining paper for cigarettes by carrying out bending experiments and damage characteristic identification on the lining paper are achieved.
Step S800: and generating a performance analysis result of the test lining paper through the first performance test result and the second performance test result.
Further, as shown in fig. 2, step S800 of the present application further includes:
step S810: constructing a performance analysis model of the lining paper through big data, wherein the performance analysis model comprises performance adaptation identifiers of various tested cigarettes;
step S820: inputting the first performance test result and the second performance test result into the performance analysis model, and outputting to obtain the performance analysis result of the test lining paper.
Specifically, the performance analysis record inquiry of the lining paper is carried out based on big data, and a plurality of historical lining paper performance analysis results and a plurality of historical lining paper-cigarette adaptation performance identifiers are obtained. The plurality of historical liner-to-cigarette fit performance identifiers are used to characterize fit parameter information between a plurality of liners and a plurality of cigarettes. Each historical slip sheet performance analysis result includes a historical first performance test result, a historical second performance test result. And analyzing the corresponding relation between the plurality of historical lining paper performance analysis results and the plurality of historical lining paper-cigarette adaptation performance identifiers, and arranging the plurality of historical lining paper performance analysis results and the plurality of historical lining paper-cigarette adaptation performance identifiers according to the corresponding relation to obtain a performance analysis model of the lining paper. Inputting the first performance test result and the second performance test result into a performance analysis model, and carrying out cigarette adaptation performance identification on the first performance test result and the second performance test result through the performance analysis model to obtain the performance analysis result of the test lining paper. The performance analysis model comprises a plurality of historical lining paper performance analysis results and a plurality of historical lining paper-cigarette adaptation performance identifiers which are arranged according to the corresponding relation. The plurality of historical lining paper-cigarette adaptation performance identifiers are the performance adaptation identifiers of a plurality of test cigarettes. The performance analysis results of the test lining paper comprise a first performance test result, a second performance test result and lining paper-cigarette adaptation performance identifiers corresponding to the first performance test result and the second performance test result. The technical effects of identifying the fit performance of the cigarettes on the first performance test result and the second performance test result through the performance analysis model and improving the performance analysis quality of the lining paper for cigarettes are achieved.
In summary, the method for analyzing the performance of the lining paper for the cigarettes provided by the application has the following technical effects:
1. acquiring a first detection image set by carrying out initial image acquisition on the test lining paper; performing a test experiment of testing the lining paper through the test cigarette, and recording an experiment result; generating a first performance test result by comparing pre-test data of the test cigarettes with the test result; the method comprises the steps of obtaining a second detection image set by carrying out a bending experiment on the test lining paper and carrying out image acquisition on the test lining paper after bending test through an image acquisition device; generating a second performance test result according to the first detection image set and the second detection image set; and carrying out cigarette adaptation performance identification on the first performance test result and the second performance test result through the performance analysis model to obtain the performance analysis result of the test lining paper. The technical effects of improving the accuracy and the comprehensiveness of the performance analysis of the lining paper for the cigarettes and improving the performance analysis quality of the lining paper for the cigarettes by carrying out multidimensional performance analysis on the lining paper for the cigarettes are achieved.
2. And comparing and analyzing the pre-test data with the experimental result to obtain an accurate first performance test result, thereby improving the accuracy of the performance analysis of the lining paper for the cigarettes.
3. And adaptively screening the experimental result through comprehensive evaluation characteristics to obtain a screening result, and comparing and analyzing the screening result with the data before the test to generate a third performance test result, thereby improving the accuracy of the performance analysis of the lining paper for the cigarettes.
Example two
Based on the same inventive concept as the method for analyzing the performance of the lining paper for cigarettes in the foregoing embodiment, the invention also provides a system for analyzing the performance of the lining paper for cigarettes, which is in communication connection with an image acquisition device, referring to fig. 3, and the system comprises:
the sampling module 11 is used for sampling to obtain test lining papers in N production batches according to the determined production information of the lining papers, wherein N is a positive integer greater than 1;
the initial image acquisition module 12 is used for acquiring an initial image of the test lining paper by the initial image acquisition module 12 to obtain a first detection image set;
the data acquisition module 13 is used for selecting a test cigarette and acquiring pre-test data of the test cigarette;
the test experiment module 14 is used for carrying out a test experiment of the test lining paper through the test cigarettes and recording an experiment result, wherein the experiment result comprises a taste detection result, cigarette humidity data and test time;
The first performance test result generating module 15, where the first performance test result generating module 15 is configured to generate a first performance test result according to the pre-test data and the experimental result;
the second detection image acquisition module 16 is used for performing a bending experiment on the test lining paper, and acquiring the image of the test lining paper after the bending test by the image acquisition device to obtain a second detection image set;
a second performance test result generating module 17, where the second performance test result generating module 17 is configured to generate a second performance test result according to the first detection image set and the second detection image set;
a performance analysis result generation module 18, where the performance analysis result generation module 18 is configured to generate a performance analysis result of the test liner paper according to the first performance test result and the second performance test result.
Further, the system further comprises:
the damage characteristic identification module is used for carrying out damage characteristic identification on the first detection image set to obtain a damage characteristic identification result;
the first execution module is used for determining a product production stability performance parameter according to the breakage probability and the breakage degree in the breakage characteristic identification result;
The bending image recognition module is used for recognizing the bent image of the second detection image set to obtain bent image evaluation characteristics;
the characteristic compensation module is used for obtaining image characteristics of the same position before bending through the first detection image set, carrying out characteristic compensation on the image evaluation characteristics after bending through the image characteristics, and generating a bending performance test result;
and the second execution module is used for generating the second performance test result through the production stability performance parameter and the bending performance test result.
Further, the system further comprises:
a third execution module for obtaining taste concentration data from the taste detection result;
the concentration comparison module is used for comparing the concentration of the taste concentration data with the concentration of the data before the test to obtain a taste concentration loss value;
the humidity comparison module is used for comparing the humidity based on the cigarette humidity data and the pre-test data to obtain a humidity level difference;
And the fourth execution module is used for obtaining the first performance test result according to the taste concentration loss value and the humidity level difference.
Further, the system further comprises:
the cluster identifier acquisition module is used for acquiring an experimental environment of the test experiment, clustering the environmental humidity based on the experimental environment and acquiring a cluster identifier;
the fifth execution module is used for generating a dampproof performance test result of different humidity environments through the cluster identifier and the humidity level difference level;
and the sixth execution module is used for obtaining the first performance test result through the moisture resistance test result.
Further, the system further comprises:
the comprehensive evaluation feature determining module is used for summarizing the experimental results and generating comprehensive evaluation features based on experimental data corresponding to the experimental results;
the seventh execution module is used for screening the experimental result through the comprehensive evaluation characteristics and generating a third performance test result through the screening result and the pre-test data;
And the eighth execution module is used for performing result compensation on the first performance test result through the third performance test result.
Further, the system further comprises:
the initial influence value set obtaining module is used for constructing an initial influence value set of experimental characteristics;
the experimental characteristic value obtaining module is used for obtaining experimental characteristic values of all experimental results based on the experimental data;
and the ninth execution module is used for carrying out comprehensive evaluation characteristic calculation on each experimental result through the experimental characteristic value and the initial influence value set.
Further, the system further comprises:
a tenth execution module, configured to construct a performance analysis model of the liner paper through big data, where the performance analysis model includes performance adaptation identifiers of multiple test cigarettes;
and the result output module is used for inputting the first performance test result and the second performance test result into the performance analysis model and outputting the performance analysis result of the test lining paper.
The performance analysis system for the lining paper for the cigarettes provided by the embodiment of the invention can execute the performance analysis method for the lining paper for the cigarettes provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
All the included modules are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention.
The application provides a performance analysis method of lining paper for cigarettes, wherein the method is applied to a performance analysis system of lining paper for cigarettes, and the method comprises the following steps: acquiring a first detection image set by carrying out initial image acquisition on the test lining paper; performing a test experiment of testing the lining paper through the test cigarette, and recording an experiment result; generating a first performance test result by comparing pre-test data of the test cigarettes with the test result; the method comprises the steps of obtaining a second detection image set by carrying out a bending experiment on the test lining paper and carrying out image acquisition on the test lining paper after bending test through an image acquisition device; generating a second performance test result according to the first detection image set and the second detection image set; and carrying out cigarette adaptation performance identification on the first performance test result and the second performance test result through the performance analysis model to obtain the performance analysis result of the test lining paper. The technical problems of low accuracy and low comprehensiveness of performance analysis aiming at the lining paper for cigarettes in the prior art and poor performance analysis effect of the lining paper for cigarettes are solved. The technical effects of improving the accuracy and the comprehensiveness of the performance analysis of the lining paper for the cigarettes and improving the performance analysis quality of the lining paper for the cigarettes by carrying out multidimensional performance analysis on the lining paper for the cigarettes are achieved.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (7)
1. A method for analyzing performance of a piece of lining paper for cigarettes, which is applied to a performance analysis system, wherein the performance analysis system is in communication connection with an image acquisition device, and the method comprises the following steps:
sampling to obtain test lining paper in N production batches according to the determined production information of the lining paper, wherein N is a positive integer greater than 1;
performing initial image acquisition on the test lining paper to obtain a first detection image set;
selecting a test cigarette, and collecting pre-test data of the test cigarette;
Carrying out a test experiment of the test lining paper through the test cigarette, and recording an experiment result, wherein the experiment result comprises a taste detection result, cigarette humidity data and test time;
generating a first performance test result according to the pre-test data and the experimental result;
performing a bending experiment on the test lining paper, and acquiring a second detection image set through the image acquisition device after the bending test of the test lining paper, wherein the bending experiment refers to obtaining the sample lining paper for cigarettes after bending the sample lining paper for cigarettes at the same position and with the same strength;
generating a second performance test result according to the first detection image set and the second detection image set;
generating a performance analysis result of the test lining paper through the first performance test result and the second performance test result;
the method further comprises the steps of:
performing damage feature identification on the first detection image set to obtain a damage feature identification result;
determining a product production stability performance parameter according to the damage probability and the damage degree in the damage characteristic identification result;
Performing image recognition after bending on the second detection image set to obtain bent image evaluation characteristics;
obtaining image features at the same position before bending through the first detection image set, performing feature compensation on the image evaluation features after bending through the image features, and generating a bending performance test result;
and generating the second performance test result through the production stability performance parameter and the bending performance test result.
2. The method of claim 1, wherein the method comprises:
obtaining taste concentration data from the taste detection result;
obtaining a taste concentration loss value by comparing the taste concentration data with the pre-test data;
performing humidity comparison based on the cigarette humidity data and the pre-test data to obtain a humidity level difference;
the first performance test result is obtained from the taste concentration loss value and the humidity level differential.
3. The method according to claim 2, wherein the method comprises:
collecting and obtaining an experimental environment of the test experiment, clustering the environmental humidity based on the experimental environment, and obtaining a clustering identifier;
Generating a dampproof performance test result of different humidity environments through the cluster identification and the humidity level difference level;
and obtaining the first performance test result through the moisture resistance test result.
4. The method of claim 1, wherein the method comprises:
summarizing the experimental results, and generating comprehensive evaluation characteristics based on experimental data corresponding to each experimental result;
screening the experimental result through the comprehensive evaluation characteristics, and generating a third performance test result through the screening result and the pre-test data;
and performing result compensation on the first performance test result through the third performance test result.
5. The method of claim 4, wherein the method comprises:
constructing an initial influence value set of experimental characteristics;
obtaining experimental characteristic values of all experimental results based on the experimental data;
and carrying out comprehensive evaluation characteristic calculation on each experimental result through the experimental characteristic value and the initial influence value set.
6. The method of claim 1, wherein the method comprises:
constructing a performance analysis model of the lining paper through big data, wherein the performance analysis model comprises performance adaptation identifiers of various tested cigarettes;
Inputting the first performance test result and the second performance test result into the performance analysis model, and outputting to obtain the performance analysis result of the test lining paper.
7. A system for analyzing performance of a piece of paper for a tobacco liner, the system in communication with an image acquisition device, the system comprising:
the sampling module is used for sampling to obtain test lining paper in N production batches according to the determined production information of the lining paper, wherein N is a positive integer greater than 1;
the initial image acquisition module is used for carrying out initial image acquisition on the test lining paper to obtain a first detection image set;
the data acquisition module is used for selecting a test cigarette and acquiring pre-test data of the test cigarette;
the test experiment module is used for carrying out a test experiment of the test lining paper through the test cigarettes and recording an experiment result, wherein the experiment result comprises a taste detection result, cigarette humidity data and test time;
the first performance test result generation module is used for generating a first performance test result according to the pre-test data and the experimental result;
The second detection image acquisition module is used for carrying out bending experiments on the test lining paper and acquiring the image of the test lining paper subjected to bending tests through the image acquisition device to obtain a second detection image set, wherein the bending experiments are that after the sample lining paper for cigarettes is subjected to bending at the same position and with the same strength, the sample lining paper for cigarettes subjected to the bending experiments is obtained;
the second performance test result generation module is used for generating a second performance test result according to the first detection image set and the second detection image set;
the performance analysis result generation module is used for generating a performance analysis result of the test lining paper through the first performance test result and the second performance test result;
the damage characteristic identification module is used for carrying out damage characteristic identification on the first detection image set to obtain a damage characteristic identification result;
the first execution module is used for determining a product production stability performance parameter according to the breakage probability and the breakage degree in the breakage characteristic identification result;
The bending image recognition module is used for recognizing the bent image of the second detection image set to obtain bent image evaluation characteristics;
the characteristic compensation module is used for obtaining image characteristics of the same position before bending through the first detection image set, carrying out characteristic compensation on the image evaluation characteristics after bending through the image characteristics, and generating a bending performance test result;
and the second execution module is used for generating the second performance test result through the production stability performance parameter and the bending performance test result.
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