CN113460555B - Tobacco leaf elevated warehouse-out control method - Google Patents
Tobacco leaf elevated warehouse-out control method Download PDFInfo
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- CN113460555B CN113460555B CN202110797500.2A CN202110797500A CN113460555B CN 113460555 B CN113460555 B CN 113460555B CN 202110797500 A CN202110797500 A CN 202110797500A CN 113460555 B CN113460555 B CN 113460555B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
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- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
- A24B3/00—Preparing tobacco in the factory
- A24B3/04—Humidifying or drying tobacco bunches or cut tobacco
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
Abstract
The invention discloses a method for controlling ex-warehouse of tobacco leaves from an elevated warehouse, which is designed and conceived in the following way, aiming at the problem of larger water fluctuation of a production line caused by more random ex-warehouse according to batch formulas at present, the tobacco leaf grades in the batch formulas are analyzed and classified according to the moisture and the hygroscopicity of incoming materials, and then a corresponding ex-warehouse strategy is added into the strategy for ex-warehouse of the elevated warehouse, so that the elevated warehouse is orderly ex-warehouse according to a set class, the queuing in the batch according to the class is realized for the subsequent process, a reference is provided for the subsequent process, the difficulty of the subsequent process is reduced, the water fluctuation can be effectively stabilized, and the overall processing quality is improved.
Description
Technical Field
The invention relates to the field of cigarette manufacturing and processing, in particular to a control method for high-shelf delivery of tobacco leaves.
Background
In the tobacco manufacturing and processing process, the elevated warehouse is the first process of the tobacco shred manufacturing link, and has great influence on the subsequent processing. Elevated warehouses are generally divided into warehousing and ex-warehouse links. And the warehousing link is to randomly store the tobacco packets sent by the raw tobacco warehouse according to the tobacco leaf grade, store the tobacco packets on a goods shelf and use the tobacco packets for ex-warehouse. When the elevated warehouse receives a production work order of the production line which is delivered out of the warehouse, the corresponding tobacco leaf grade is selected according to the preset batch formula and delivered out of the warehouse to be put into the production line for use, the whole working process realizes automatic delivery out of the warehouse according to the formula, and the whole working efficiency is improved.
However, in the whole batch of formula, the tobacco leaf grades are more, and the tobacco leaves are delivered to a warehouse area stacker for random delivery after the grades are selected according to the formula. The moisture of the tobacco leaves in the formula is different from the moisture absorption of the tobacco leaves, no rule exists after the tobacco leaves are delivered from a warehouse, so that the subsequent processing is relatively extensive, the moisture control fluctuation is large, and the purpose of fine processing cannot be achieved.
Disclosure of Invention
In view of the above, the present invention aims to provide a method for controlling the ex-warehouse of tobacco leaves from an elevated warehouse, so as to solve the problem of moisture fluctuation in the subsequent process.
The technical scheme adopted by the invention is as follows:
a tobacco leaf elevated warehouse-out control method comprises the following steps:
detecting the actual moisture value and the moisture absorption of the tobacco leaves of each grade according to the grade of the tobacco leaves in advance;
determining a classification reference value of each grade of tobacco according to the actual moisture value and the hygroscopicity;
classifying the tobacco leaves of all grades in the batch formula according to the classification reference value, and setting a classification number, wherein each classification comprises a set number of tobacco boxes;
calculating the average value of the actual moisture values of the tobacco leaves contained in all the tobacco boxes in the same category;
adding the class number and the mean value into a batch formula;
and during ex-warehouse operation, sequentially ex-warehouse based on the class numbers in the batch formula, and sending the class numbers involved in ex-warehouse operation, the average value of the corresponding class numbers and the number of the cigarette boxes to a vacuum damping machine system in a subsequent process.
In at least one possible implementation manner, the detecting the actual moisture value of each grade of tobacco leaves includes:
randomly extracting a plurality of boxes of raw tobacco from tobacco leaves of the same grade to serve as samples to be detected;
calculating the moisture value of each box of the samples to be detected by adopting an oven method;
and calculating the average value of the moisture of all smoke boxes under the grade to represent the actual moisture value corresponding to the grade.
In at least one possible implementation manner, the manner of detecting the hygroscopicity of the tobacco leaves of each grade comprises the following steps:
placing the sample to be tested in an environment with preset humidity and temperature, and standing for a preset time;
after standing, calculating the current water average value of the sample to be measured by adopting an oven method;
and characterizing the moisture absorption of the corresponding grade by the difference value of the current moisture mean value and the actual moisture value.
In at least one possible implementation manner, the determining the classification reference value of each grade of tobacco leaves includes:
taking the product of the difference value and a preset correction factor as a water absorption coefficient;
and calculating the classification reference value based on the water absorption coefficient, the actual water content value and a preset reference value.
In at least one possible implementation manner, the classifying the tobacco leaves of each grade in the batch formula and setting the class number includes:
sorting the smoke boxes in which the tobacco leaves of all grades in the batch of formula are located according to the classification reference values corresponding to the tobacco leaves;
and classifying the smoke boxes in the batch formula based on a preset partition interval from small to large according to the classification reference values, and setting corresponding class numbers one by one.
In at least one possible implementation, the manner in which each category includes a predetermined number of smoke boxes includes:
in the classification process, judging whether the number of the smoke boxes contained in the current class number reaches the set number one by one;
if not, the cigarette box with the classification reference value in the next class number closest to the classification reference value in the current class number is classified into the current class.
In at least one possible implementation, the sequentially exporting the class numbers from the batch-based recipe comprises: and performing ex-warehouse operation based on the sequence of the class numbers from small to large or the sequence of the classification reference values corresponding to the class numbers from small to large.
In at least one possible implementation manner, the sequentially exporting the class numbers from the batch-based recipe further includes: and carrying out random ex-warehouse operation on the cigarette boxes under the same class number.
The design concept of the invention is that aiming at the problem of larger water fluctuation of a production line caused by random ex-warehouse according to batch formulas at present, the tobacco grades in the batch formulas are analyzed and classified according to the moisture and the hygroscopicity of incoming materials, and then a corresponding ex-warehouse strategy is added into the ex-warehouse strategy of the elevated warehouse, so that the elevated warehouse is orderly ex-warehouse according to the set classes, the queuing in the batch according to the classes is realized for the subsequent process, a reference is provided for the subsequent process, the difficulty of the subsequent process is reduced, the water fluctuation can be effectively stabilized, and the overall processing quality is improved.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
fig. 1 is a flowchart of a tobacco elevated warehouse-out control method according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
The invention provides an embodiment of a control method for overhead warehouse-out of tobacco leaves, which can be specifically shown in figure 1 and comprises the following steps:
step S1, detecting the actual moisture value and the moisture absorption of the tobacco leaves of each grade in advance according to the tobacco leaf grade;
step S2, determining classification reference values of tobacco leaves of all grades according to the actual moisture value and the hygroscopicity;
step S3, classifying the tobacco leaves of each grade in the batch formula according to the classification reference value and setting a classification number, wherein each classification comprises a set number of smoke boxes;
step S4, calculating the average value of the actual moisture values of the tobacco leaves contained in all the tobacco boxes in the same category;
step S5, adding the class number and the average value into a batch formula;
and step S6, during the warehouse-out operation, sequentially warehouse-out based on the class numbers in the batch formula, and sending the class numbers involved in the warehouse-out operation, the average value of the corresponding class numbers and the number of the cigarette boxes to a vacuum damping machine system in the subsequent process.
Further, the detecting the actual moisture value of each grade of tobacco leaf may specifically include:
randomly extracting a plurality of boxes of raw tobacco from tobacco leaves of the same grade to serve as samples to be detected;
calculating the moisture value of each box of the samples to be detected by adopting an oven method;
and calculating the average value of the moisture of all smoke boxes under the grade to represent the actual moisture value corresponding to the grade.
Further, the method for detecting the moisture absorption of the tobacco leaves of each grade may specifically include:
placing the sample to be tested in an environment with preset humidity and temperature, and standing for a preset time;
after standing, calculating the current water average value of the sample to be measured by adopting an oven method;
and characterizing the moisture absorption of the corresponding grade by the difference value of the current moisture mean value and the actual moisture value.
Further, the determining the classification reference value of each grade of tobacco leaf may specifically include:
taking the product of the difference value and a preset correction factor as a water absorption coefficient;
and calculating the classification reference value based on the water absorption coefficient, the actual water content value and a preset reference value.
Further, the classifying the tobacco leaves of each grade in the batch formula and setting the class number may specifically include:
sorting the smoke boxes in which the tobacco leaves of all grades in the batch of formula are located according to the classification reference values corresponding to the tobacco leaves;
and classifying the smoke boxes in the batch formula based on a preset partition interval from small to large according to the classification reference values, and setting corresponding class numbers one by one.
Further, the manner of including a predetermined number of smoke boxes in each category may specifically include:
in the classification process, judging whether the number of the smoke boxes contained in the current class number reaches the set number one by one;
if not, the cigarette box with the classification reference value in the next class number closest to the classification reference value in the current class number is classified into the current class.
Further, the sequentially exporting the batch-based recipe based on the class numbers may specifically include: and performing ex-warehouse operation based on the sequence of the class numbers from small to large or the sequence of the classification reference values corresponding to the class numbers from small to large.
Further, the sequentially exporting the class numbers from the batch-based recipe may further include: and carrying out random warehouse-out operation on the cigarette boxes under the same class number.
To facilitate an understanding of the foregoing embodiments and preferred versions thereof, reference is made to the following schematic references:
the raw tobacco can be sampled according to grades in advance, 10 boxes of raw tobacco with the same grade can be randomly sampled in a warehouse in actual operation, 1 kg of raw tobacco is taken in each box, the moisture value of each box is calculated by an oven method, and then the average value m of the 10 boxes is calculated to be used as the actual moisture value of the grade. Next, the 10 boxes of raw tobacco may be left to stand for 24 hours in an environment with a humidity of 70 degrees and a temperature of 35 degrees. And then, calculating the average value n of the current moisture value of 10 kilograms of tobacco leaves by adopting an oven method, and taking the moisture increase value d obtained by n-m as the moisture absorption judgment value of the grade tobacco leaves.
Considering that the tobacco leaves absorb water rapidly in vacuum in a vacuum moisture regaining machine in the subsequent process, the d value can be multiplied by a correction coefficient (such as 1.5) according to an empirical value to obtain a water absorption coefficient h in actual calculation so as to distinguish the grade type in the subsequent process. Preferably, k ═ m + h ÷ 12.5% can be made the basis of the subsequent classification operation, i.e. the classification reference value, where 12.5% is a given standard value. For example, if m equals 11.85% and d equals 1.7% for a certain grade of tobacco, then h is 1.7% multiplied by 1.5 equals 2.55% and k equals 1.152.
And sorting the graded tobacco leaves in the batch formula according to the k value, classifying the graded tobacco leaves, and compiling the grade numbers from small to large. The classification principle is mainly to classify the k values according to a predetermined partition interval (e.g. taking the current minimum k value increased by 0.1 as a classification partition line), and the number of smoke boxes in each classification is kept as large as possible (for example, but not limited to, being a multiple of 5) to meet the requirements of the subsequent processing procedures. For example, if a batch of formulas relates to 32 grades, and 54 boxes of cigarettes (some grades correspond to multiple boxes), the formulas can be sorted in the order of k value from small to large. Each box necessarily has the same grade, that is, smoke boxes with the same grade are assigned with the same k value, then each 0.1 is added to the minimum value of the k value to form a category (for example, the category interval with the minimum value of 1.1-1.2) and assigned with a category number 1, and then corresponding category numbers are sequentially added, so that the smoke boxes can be generally classified into 2-3 categories (for example, 3 categories, 1.1-1.2 are category 1, 1.2-1.3 are next category 2, and 1.3-1.4 are last category 3) according to the above example.
Then, it can be calculated whether the number of smoke boxes in category 1 satisfies the aforementioned multiple of 5, and if not, the smoke box with the k value closest to category 1 in category 2 is called into category 1 so that the number of smoke boxes in category 1 satisfies the multiple of 5. Other categories are adjusted in sequence, and the number of cigarette boxes under the last category number can be not required in actual operation.
Calculating the mean value m1 of the measured moisture values m of all the smoke boxes in the same class number, adding two number columns of the class number and the mean value m1 in a warehouse-out batch formula table, and filling the specific values calculated in the previous step into the corresponding columns.
In this way, when the overhead warehouse is delivered, the warehouse delivery operation can be performed from the batch recipe table according to the descending order of the class numbers (starting from the class number 1, of course, the descending order of the k value or the class interval corresponding to the class number can be considered based on different class marking modes), and preferably, the random warehouse delivery mode can be adopted for the cigarette boxes under the same class number to reduce the waiting time and improve the warehouse delivery efficiency.
While the cigarette is delivered, the class number, the mean value m1 corresponding to the class number and the number of the cigarette boxes sequentially delivered can be transmitted to a subsequent vacuum damping machine system together, so that the vacuum damping machine can calculate the water adding amount each time (according to the previous example, the water adding amount is calculated by 5 cigarette boxes). For example, category 1 has 20 boxes of tobacco, m1 is 11.15%; the type 2 has 25 boxes, m1 is 12.25%, after the box is transmitted to the vacuum damping machine, the vacuum damping machine divides the box by 5 according to 20 to obtain the tobacco leaves of which the 1-4 working cycles are the type 1, and the average value of the moisture is 11.15%; dividing 25 by 5 to obtain tobacco leaves of which the working cycle is type 2 for 5-9 times, wherein the average value of the moisture is 12.25 percent, so that the vacuum moisture regaining machine can calculate the corresponding water adding amount according to the working cycle.
In summary, the design concept of the invention is that, aiming at the problem of large water fluctuation of a production line caused by relatively random ex-warehouse according to batch formulas at present, tobacco leaf grades in the batch formulas are analyzed and classified according to incoming material water and hygroscopicity, and then a corresponding ex-warehouse strategy is added into an elevated warehouse ex-warehouse strategy, so that the elevated warehouse is orderly ex-warehouse according to a set category, queuing in batches according to categories is realized for subsequent process processing, a reference is provided for the subsequent processing, the difficulty of the subsequent processing is reduced, the water fluctuation can be effectively stabilized, and the overall processing quality is improved.
In the embodiments of the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, and means that there may be three relationships, for example, a and/or B, and may mean that a exists alone, a and B exist simultaneously, and B exists alone. Wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
The structure, features and effects of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the above embodiments are merely preferred embodiments of the present invention, and it should be understood that technical features related to the above embodiments and preferred modes thereof can be reasonably combined and configured into various equivalent schemes by those skilled in the art without departing from and changing the design idea and technical effects of the present invention; therefore, the invention is not limited to the specific embodiments shown in the drawings, and all changes that can be made or modified to the equivalent embodiments without departing from the spirit and scope of the invention are intended to be covered by the specification and drawings.
Claims (8)
1. The method for controlling the ex-warehouse of the tobacco leaf elevated warehouse is characterized by comprising the following steps:
detecting the actual moisture value and the moisture absorption of the tobacco leaves of each grade according to the grade of the tobacco leaves in advance;
determining classification reference values of tobacco leaves of all grades according to the actual moisture value and the hygroscopicity;
classifying the tobacco leaves of all grades in the batch formula according to the classification reference value, and setting a classification number, wherein each classification comprises a set number of tobacco boxes;
calculating the average value of the actual moisture values of the tobacco leaves contained in all the tobacco boxes in the same category;
adding the class number and the mean value into a batch formula;
and during ex-warehouse operation, sequentially ex-warehouse based on the class numbers in the batch formula, and sending the class numbers involved in ex-warehouse operation, the average value of the corresponding class numbers and the number of the cigarette boxes to a vacuum damping machine system in a subsequent process.
2. The method for controlling the ex-warehouse of the tobacco leaf viaduct according to claim 1, wherein the detecting the actual moisture value of each grade of tobacco leaf comprises:
randomly extracting a plurality of boxes of raw tobacco from tobacco leaves of the same grade to serve as samples to be detected;
calculating the moisture value of each box of the samples to be detected by adopting an oven method;
and calculating the average value of the moisture of all smoke boxes under the grade to represent the actual moisture value corresponding to the grade.
3. The tobacco elevated warehouse-out control method according to claim 2, wherein the manner of detecting the moisture absorption of the tobacco leaves of each grade comprises:
placing the sample to be tested in an environment with preset humidity and temperature, and standing for a preset time;
after standing, calculating the current water average value of the sample to be measured by adopting an oven method;
and characterizing the moisture absorption of the corresponding grade by the difference value of the current moisture mean value and the actual moisture value.
4. The method for controlling the ex-warehouse of the tobacco leaf elevated warehouse according to claim 3, wherein the determining the classification reference value of each grade of tobacco leaf comprises:
taking the product of the difference value and a preset correction factor as a water absorption coefficient;
and calculating the classification reference value based on the water absorption coefficient, the actual water content value and a preset reference value.
5. The method for controlling the ex-warehouse of the tobacco leaf viaduct according to claim 3, wherein the classifying and setting the class number of each grade of tobacco leaf in the batch formula comprises:
sorting the tobacco boxes in which the tobacco leaves of all grades in the batch of formula are located according to the classification reference values corresponding to the tobacco leaves;
and classifying the smoke boxes in the batch formula based on a preset partition interval from small to large according to the classification reference values, and setting corresponding class numbers one by one.
6. The method of claim 1, wherein the step of including a predetermined number of cartons in each category comprises:
in the classification process, judging whether the number of the smoke boxes contained in the current class number reaches the set number one by one;
if not, the cigarette box with the classification reference value in the next class number closest to the classification reference value in the current class number is classified into the current class.
7. The method for controlling ex-warehouse of tobacco leaves in an elevated warehouse according to any one of claims 1 to 6, wherein the sequential ex-warehouse of the class numbers in the batch-based formula comprises: and performing ex-warehouse operation based on the sequence of the class numbers from small to large or the sequence of the classification reference values corresponding to the class numbers from small to large.
8. The method for controlling ex-warehouse of tobacco leaves in an elevated warehouse according to claim 7, wherein the sequentially ex-warehouse of the category numbers based on the batch recipe further comprises: and carrying out random warehouse-out operation on the cigarette boxes under the same class number.
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| CN202110797500.2A CN113460555B (en) | 2021-07-14 | 2021-07-14 | Tobacco leaf elevated warehouse-out control method |
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| CN202110797500.2A CN113460555B (en) | 2021-07-14 | 2021-07-14 | Tobacco leaf elevated warehouse-out control method |
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| CN113460555B true CN113460555B (en) | 2022-06-21 |
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Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6024174A (en) * | 1983-07-21 | 1985-02-06 | 日本たばこ産業株式会社 | Laminar size controller in tobacco treating process |
| CN102486630B (en) * | 2010-12-05 | 2013-10-23 | 中国科学院沈阳自动化研究所 | Case reasoning technology-based damping machine intelligent optimized control method |
| CN102398757A (en) * | 2011-07-12 | 2012-04-04 | 昆明昆船物流信息产业有限公司 | Raw tobacco automatic storage and conveying process |
| CN108536087B (en) * | 2018-05-07 | 2021-03-26 | 红塔烟草(集团)有限责任公司 | Control method and control device for moisture regain and humidification of tobacco leaves and tobacco sheets |
| JP7347109B2 (en) * | 2019-10-17 | 2023-09-20 | 村田機械株式会社 | Automatic warehouse |
| CN111567844B (en) * | 2020-05-18 | 2022-05-31 | 安徽中烟工业有限责任公司 | Tobacco leaf raw material grouping method in cigarette leaf group formula |
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