CN104237238B - Shredded tobacco structure prediction method - Google Patents
Shredded tobacco structure prediction method Download PDFInfo
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- CN104237238B CN104237238B CN201410531682.9A CN201410531682A CN104237238B CN 104237238 B CN104237238 B CN 104237238B CN 201410531682 A CN201410531682 A CN 201410531682A CN 104237238 B CN104237238 B CN 104237238B
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Abstract
The invention relates to the technology of tobacco processing, and in particular to a shredded tobacco structure prediction method. The method includes the steps of (1) sample sampling, (2) detection of the sheet tobacco leaf area and perimeter, (3) calculation of the average area, perimeter and section area percentage, (4) calculation of the equivalent circular coefficient of sheet tobacco, (5) calculation of the shreding size distribution of a single piece of sheet tobacco through a fitting equation, and (6) prediction of shredded tobacco structures. The shredded sheet tobacco structure prediction method is based on the size and shape of the sheet tobacco. According to a prediction model used in the method, factors of size and shape of the sheet tobacco are both taken into account, so that prediction results are accurate. The prediction method is a way for cigarette industrial enterprises to determine the needed size and shape of the sheet tobacco and provides an important means for guiding threshing and re-curing companies to optimize the size and shape of the sheet tobacco during threshing.
Description
Technical field
The present invention relates to tobacco processing techniques, particularly to a kind of Forecasting Methodology for tobacco structure after shredding.
Background technology
Cigarette physical index is to evaluate the important indicator of coiling process crudy and Cigarette physical quality, shadow
In addition to coiling process machined parameters, tobacco structure also functions to important function to the factor ringing these quality index.Stifled sturdy pines etc. is studied
Find there is the separation that a certain specific tobacco shred length associates polarity with Medicated cigarette physical index, more than with less than this length tobacco shred
Ratio change is contrary to the effect tendency of Medicated cigarette physical index;The coefficient of association of different length tobacco shred and Medicated cigarette physical index is at certain
Reach maximum during one length-specific, closer to this length, coefficient of association is bigger for tobacco shred, but for different physical indexs and its
Stability, this length value is different;For obtaining ideal Medicated cigarette physical index and its stability, tobacco structure distribution
Optimization length should be 2.00~4.75 mm, should reduce the tobacco shred ratio less than 1.40 mm as far as possible.The research such as Li Shanlian finds volume
Cigarette end tobacco-falling quantity increases with the reduction of tobacco shred characteristic size;2. 8 more than mm tobacco shreds and cigarette end tobacco-falling quantity are in negative
Correlation is wherein obvious with the impact of 5. 6 more than mm tobacco shreds;2. 8 below mm tobacco shreds and cigarette end tobacco-falling quantity are just in
Correlation is wherein obvious with the impact of 1. 4 below mm tobacco shreds.Therefore effective control piece cigarette cuts rear tobacco structure, to stable
Coiling process cigarette Medicated cigarette physical index is significant.
Piece cigarette size shape is to determine one of key factor of tobacco structure.In order to obtain being conducive to Medicated cigarette physical quality
Preferable tobacco structure, needs by the piece cigarette obtaining suitable configurations (size) and shape as much as possible during beating leaf.Remaining
Na etc. establishes blade construction and Cut tobacco relational model, and this model only considered the size of piece cigarette, and does not consider piece cigarette
Shape, and be empirical model, only establishes contacting, to reality of tobacco strip structure and tobacco structure before and after same sample piece cigarette shredding
There is certain limitation and real-time in operation instruction.
Content of the invention
The purpose of the present invention is based on above-mentioned prior art situation, before considering piece cigarette size and shape factor
Put, by setting up tobacco structure prediction theory model, provide a kind of cigarette to cut the Forecasting Methodology of rear tobacco structure, this invention can
To provide method for Cigarette Industrial Enterprise clear and definite piece cigarette size and shape demand, for instructing beating and double roasting enterprise during beating leaf
Optimizing piece cigarette size and shape provides important means.
The purpose of the present invention is to be achieved by the following technical programs.
The present invention predicts that the method for tobacco structure comprises the steps:
(1) sample: the groove that shakes after threshing machine collects belt or loosening and gaining moisture takes complete cross-section piece cigarette sample, sample size
No less than 1kg;
(2) blade piece cigarette area and girth detection: using blade cigarette image every in Digital image technology breadload cigarette sample,
The area of analytical calculation every blade cigarette and girth;
(3) average area, girth and intervening areas percentage ratio are calculated: by the blade area obtaining according to several blade faces
Long-pending interval is divided, and calculates all cigarette areas in piece cigarette average area a and average perimeter c, and interval in each interval
Sum accounts for the percentage ratio y of the sample strip cigarette gross area;
(4) calculate piece cigarette equivalent circular coefficient: respectively using the normal logarithm of piece cigarette average area and average contour as independent variable m
With dependent variable n, carry out linear fit by n=km+a, obtaining piece cigarette equivalent circular coefficient k (will piece cigarette conglobate correction of equal value be
Number), a is equation parameter.
(5) calculate single cigarette shredding distribution of sizes: if chankings cigarette is circle, be then less than the tobacco shred of length x after shredding
Ratio can be expressed as:
Wherein, r is piece cigarette radius, and a is piece cigarette area;All cigarettes in the interval of area described in (3) are considered as same
Piece cigarette, its area and girth are respectively piece cigarette average area a and average perimeter c in interval, and radius utilizes equivalent circular coefficient k correction
For, bring model above equation into and obtain cutting rear tobacco shred forecast model with bottom sheet cigarette, calculate monolithic normal piece cigarette and cut
Under tobacco shred sieve, (screen mesh size is afterwards) cumulative percentage (and cut rear tobacco shred length be less than screen mesh sizeRatio):
In formula,For screen mesh size, μ is screening efficiency, i.e. proportionality coefficient between tobacco shred actual size and screen cloth specification;
(6) rear tobacco structure is cut in prediction: the piece cigarette ratio in each area interval is divided with corresponding monolithic piece cigarette shredding size
The product accumulation of cloth, as prediction cut rear tobacco structure.
Digital image technology described in step (2) is ca8011 piece cigarette size and its profiling systems (self-developing
Measurement system), be possible with known digital camera and carry out mensure of taking pictures.
The technique effect of the present invention is embodied in: the invention provides a kind of based on the piece cigarette shredding of piece cigarette size and shape after
The Forecasting Methodology of tobacco structure, forecast model of the present invention not only allow for piece cigarette size factor it is also contemplated that
The shape factor of piece cigarette, it is more accurate to predict the outcome, and can be Cigarette Industrial Enterprise clear and definite piece cigarette size by this Forecasting Methodology
There is provided method with shape requirements, provide important handss for instructing beating and double roasting enterprise to optimize piece cigarette size and shape during beating leaf
Section.
Brief description
Fig. 1: subordinate list 1,
Fig. 2: subordinate list 2,
Fig. 3: subordinate list 3,
Fig. 4: piece cigarette average area and the normal log-linear fitting result of average contour,
Fig. 5: cut the comparison of rear tobacco shred predictive value and measured value.
Specific embodiment
The present invention passes through the size of every blade cigarette and girth in detection lug cigarette sample, piece cigarette sample is pressed certain area interval
Divided, be calculated the average area in each interval and girth, and be calculated the equivalent circular system relevant with piece cigarette shape
Number, the relational model according to piece cigarette size shape and tobacco structure and each interval piece cigarette ratio, are calculated after piece cigarette cuts
Prediction tobacco structure.
With reference to embodiment, the present invention will be further described.
Embodiment:
(1) sample: collect belt after beating and take Nanping, Fujian c3f complete cross-section piece cigarette sample, sampling amount 3kg;
(2) blade piece cigarette area and girth detection: (also can profit using " ca8011 piece cigarette size and its profiling systems "
Carry out mensure of taking pictures with known digital camera) detect the area of every blade cigarette and girth;
(3) average area, girth and intervening areas percentage ratio are calculated: by the blade area obtaining according to several blade faces
Long-pending interval is divided, and calculates all cigarette areas in piece cigarette average area a and average perimeter c, and interval in each interval
Sum accounts for the percentage ratio y of the sample strip cigarette gross area, such as shown in Fig. 1 (i.e. subordinate list 1);
(4) calculate piece cigarette equivalent circular coefficient: respectively using the normal logarithm of piece cigarette girth and area as independent variable m and dependent variable
N, is fitted by n=km+a, as shown in accompanying drawing 4, obtains piece cigarette equivalent circular coefficient k, and k is equal to 1.5232;
(5) calculate single cigarette shredding distribution of sizes: piece cigarette average area a and average perimeter c and effect circle coefficient k in interval
Bring following forecast model equation into, according to screen cloth specification 8mm, 6.7mm, 5.6mm, 4.75mm, 4mm, 3.35mm, 2.8mm, 2mm,
1.4mm, 0.71mm, screening efficiency is 3.72, is calculated monolithic piece cigarette and cuts the lower cumulative percentage of rear tobacco shred sieve, such as Fig. 2 is (i.e.
Subordinate list 2) shown in;
(6) rear tobacco structure is cut in prediction: the piece cigarette ratio in each area interval is divided with corresponding monolithic piece cigarette shredding size
The product accumulation of cloth, obtain prediction cuts rear tobacco structure, sees that shown in Fig. 3 (i.e. subordinate list 3), predictive value is relatively shown in measured value
Accompanying drawing 5.
Claims (1)
1. after a kind of shredding tobacco structure Forecasting Methodology it is characterised in that: comprise the steps:
(1) sample: the groove that shakes after threshing machine collects belt or loosening and gaining moisture takes complete cross-section piece cigarette sample, sample size is many
In 1kg;
(2) blade piece cigarette area and girth detection: using blade cigarette image every in Digital image technology breadload cigarette sample, analyze
Calculate area and the girth of every blade cigarette;
(3) average area, girth and intervening areas percentage ratio are calculated: by the blade area obtaining according to several blade area areas
Between divided, calculate all cigarette area sums in piece cigarette average area a and average perimeter c, and interval in each interval
Account for the percentage ratio y of the sample strip cigarette gross area;
(4) calculate piece cigarette equivalent circular coefficient: respectively using the normal logarithm of piece cigarette average area and average contour as independent variable m and because
Variable n, carries out linear fit by n=km+a, obtains piece cigarette equivalent circular coefficient k (will piece cigarette of equal value conglobate correction factor),
A is equation parameter;
(5) calculate single cigarette shredding distribution of sizes: if chankings cigarette is circle, be then less than the ratio of the tobacco shred of length x after shredding
Can be expressed as:
Wherein, r is piece cigarette radius, and a is piece cigarette area;All cigarettes in the interval of area described in (3) are considered as with a piece of cigarette,
Its area and girth are respectively piece cigarette average area a and average perimeter c in interval, and radius is modified to using equivalent circular coefficient k, bring model above equation into and obtain cutting rear tobacco shred forecast model with bottom sheet cigarette, after calculating monolithic normal piece cigarette is cut
Under tobacco shred sieve, (screen mesh size is) cumulative percentage (and cut rear tobacco shred length be less than screen mesh sizeRatio):
In formula,For screen mesh size, μ is screening efficiency, i.e. proportionality coefficient between tobacco shred actual size and screen cloth specification;
(6) rear tobacco structure is cut in prediction: by the piece cigarette ratio in each area interval and corresponding monolithic piece cigarette shredding distribution of sizes
Product accumulation, as prediction cut rear tobacco structure.
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CN104849278B (en) * | 2015-05-20 | 2017-06-09 | 江苏中烟工业有限责任公司 | A kind of method that pipe tobacco long filament rate is determined based on likeness coefficient |
CN106442575B (en) * | 2016-04-11 | 2019-10-18 | 红云红河烟草(集团)有限责任公司 | A kind of method of each formula module distribution in analytical control cigarette shreds |
CN107330467B (en) * | 2017-07-03 | 2020-07-21 | 云南昆船设计研究院有限公司 | Method for predicting influence of morphological characteristics of tobacco flakes on tobacco shred structure |
CN108645968A (en) * | 2018-05-07 | 2018-10-12 | 云南熏爵生物科技有限公司 | The method for characterizing structure of finished cut tobacco distributional stability using routine chemical components |
CN113838123B (en) * | 2021-08-16 | 2024-03-19 | 湖南磐钴传动科技有限公司 | Method for measuring appearance characteristics of cut tobacco based on image processing |
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