CN113142630B - Method and device for establishing annual standard formula of cigarette leaf group - Google Patents
Method and device for establishing annual standard formula of cigarette leaf group Download PDFInfo
- Publication number
- CN113142630B CN113142630B CN202110446220.7A CN202110446220A CN113142630B CN 113142630 B CN113142630 B CN 113142630B CN 202110446220 A CN202110446220 A CN 202110446220A CN 113142630 B CN113142630 B CN 113142630B
- Authority
- CN
- China
- Prior art keywords
- sequence
- tobacco
- data
- clustering
- tobacco leaves
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
- A24B3/08—Blending tobacco
Landscapes
- Manufacture Of Tobacco Products (AREA)
Abstract
The embodiment of the invention provides a method and a device for establishing a cigarette leaf group annual standard formula, wherein the method comprises the following steps: acquiring historical data of tobacco consumption, and calculating comprehensive tobacco use indexes of the same sequence according to the historical data; when the comprehensive index is smaller than a preset value, marking the corresponding sequence as an adjusting sequence, otherwise, marking the corresponding sequence as an investigation sequence; the adjustment sequence is merged into an investigation sequence which has the same province and grade as the adjustment sequence but is different in city and city, and the investigation sequence is divided into the same group of data; clustering the same group of data according to a preset clustering standard, and determining a preliminary formula according to a clustering result; and obtaining the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula to obtain the annual standard formula of the tobacco leaves. By adopting the method, the annual standard formula of the cigarette leaf group can be established according to the inherent characteristics of the use direction and the annual allocation amount of the tobacco leaves, the optimal use value of the raw materials is exerted, and the health degree of the stock state of the raw materials is enhanced.
Description
Technical Field
The invention relates to the technical field of cigarette leaf group formulas, in particular to a method and a device for establishing an annual standard formula of a cigarette leaf group.
Background
The traditional standard tobacco leaf group formula of the cigarettes mainly controls the use proportion of tobacco leaves in a special tobacco leaf producing area or the use proportion of first-class tobacco leaves, achieves controllable use amount of corresponding provincial tobacco leaves by effectively controlling the use proportion of different provincial tobacco leaves, avoids large quantity consumption of individual provincial tobacco leaves in a short time, and simultaneously avoids overstocked individual provincial tobacco leaves.
However, although the standard formula of the cigarette leaf group can control the orderly use of tobacco leaf raw materials of different provinces, the following defects exist: the tobacco leaf raw materials in the provincial production area are divided into different local and commercial production areas, and in the control range of the provincial production area, the local and commercial production area raw materials with good sensory quality are often used preferentially in large quantities, and the local and commercial production area tobacco leaf raw materials with relatively low sensory quality are left for passive digestion; in the same way, in the control range of the upper equal-grade tobacco, the middle equal-grade tobacco raw materials are mostly superior to the upper equal-grade tobacco in the same production place due to sensory quality, so that the large amount of the upper equal-grade tobacco in the middle is easy to use, and the overstock phenomenon of the individual upper equal-grade tobacco is easy to occur; when a formulator carries out maintenance work of tobacco groups, due to subjective factors such as differences of sensory evaluation skill and personal preference, the selection range of tobacco leaf grades is wider, so that although the tobacco group formula meets the control proportion of provincial production areas and first-class tobaccos, the use volatility of local production areas and specific tobacco leaf grades is larger, the stability of the sensory quality of the tobacco leaf group formula is influenced, the conditions are that no specification is provided when the tobacco leaf groups are used, most of tobacco leaves are selected subjectively, and partial types of tobacco leaves are deficient easily, and partial types of tobacco leaves are overstocked easily.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a method and a device for establishing a cigarette leaf group annual standard formula.
The embodiment of the invention provides a method for establishing a cigarette leaf group annual standard formula, which comprises the following steps:
acquiring historical data of tobacco consumption, dividing tobacco with same province, city and grade in the historical data into a same sequence, and calculating comprehensive tobacco use indexes of the same sequence according to the historical data;
detecting whether the comprehensive index is smaller than a preset value or not, when the comprehensive index is smaller than the preset value, marking the corresponding sequence as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, marking the corresponding sequence as an investigation sequence;
the regulating sequence is merged into an investigation sequence which has the same province and grade as the regulating sequence but is different from the city, and the data in the merged regulating sequence and the investigation sequence are divided into the same group of data;
clustering the data of the same group according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence;
and obtaining the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
In one embodiment, the calculating of the usage index of the tobacco leaves in the same sequence according to the historical data is performed by the following formula:
wherein F represents the comprehensive use index of the sequence tobacco leaves, and D1 represents the total consumption of the sequence tobacco leaves; d2 represents the single batch feeding amount of the cigarette specification; d3 represents the total consumption of tobacco leaves; d4 represents the class weight of the single bin.
In one embodiment, the method further comprises:
and summing clustering results among different clusters in the same group of data, and determining the preliminary formula according to the summation result.
In one embodiment, the method further comprises:
and adjusting or reducing the summation result to enable the data of the summation result to be integer multiples of 50.
In one embodiment, the method further comprises:
determining a target cigarette brand and a target specification of the target cigarette brand, and acquiring historical data of tobacco consumption of the target specification of the target cigarette brand.
In one embodiment, the method further comprises:
and when the tobacco yield in the comparison result is less than the data corresponding to the clustering result, allocating the data corresponding to the clustering result to other data which have the same province and grade but different cities and are corresponding to the clustering result, so that the allocated data corresponding to the clustering result is equal to the tobacco yield.
The embodiment of the invention provides a device for establishing a standard formula of a cigarette leaf group year, which comprises:
the acquisition module is used for acquiring historical data of tobacco consumption, dividing tobacco with the same province, city and grade in the historical data into the same sequence, and calculating the comprehensive tobacco use index of the same sequence according to the historical data;
the detection module is used for detecting whether the comprehensive index is smaller than a preset value or not, when the comprehensive index is smaller than the preset value, the corresponding sequence is marked as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, the corresponding sequence is marked as an investigation sequence;
the merging module is used for merging the regulating sequence into an investigation sequence which has the same province and grade as the regulating sequence but is different from the province and the grade of the regulating sequence in the city, and dividing the data in the merged regulating sequence and the investigation sequence into the same group of data;
the clustering module is used for clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence;
and the comparison module is used for acquiring the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
In one embodiment, the apparatus further comprises:
and the summing module is used for summing clustering results among different clusters in the same group of data, and determining the preliminary formula according to the summing result.
The embodiment of the invention provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the cigarette leaf group annual standard formula establishing method.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned cigarette leaf group annual standard formula establishing method.
According to the method and the device for establishing the annual standard formula of the cigarette leaf group, provided by the embodiment of the invention, historical data of the consumption amount of tobacco leaves are obtained, the tobacco leaves with the same province, city and grade in the historical data are divided into the same sequence, and the comprehensive index of the tobacco leaves in the same sequence is calculated according to the historical data; detecting whether the comprehensive index is smaller than a preset value, when the comprehensive index is smaller than the preset value, marking the corresponding sequence as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, marking the corresponding sequence as an investigation sequence; the adjustment sequence is merged into an investigation sequence which has the same province and grade as the adjustment sequence but is different from the local market, and the data in the merged adjustment sequence and the investigation sequence are divided into the same group of data; clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence; and obtaining the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves. Therefore, the annual standard formula of the cigarette leaf group can be established according to the inherent characteristics of the use direction and the annual allocation amount of the tobacco leaves, the optimal use value of the raw materials is exerted, and the health degree of the stock state of the raw materials is enhanced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method for establishing a standard formula of a cigarette leaf group year in an embodiment of the invention;
FIG. 2 is a structural diagram of a cigarette leaf group annual standard formula establishing device in the embodiment of the invention;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a method for establishing a standard formula of a tobacco leaf group year provided in an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a method for establishing a standard formula of a tobacco leaf group year, including:
step S101, obtaining historical data of tobacco consumption, dividing tobacco with same province, city and grade in the historical data into a same sequence, and calculating a comprehensive tobacco use index of the same sequence according to the historical data.
Specifically, the tobacco leaves in the same province, local city, grade and different purchase orders, years, processing modes and the like are all listed as the same tobacco leaf sequence, the related historical data corresponding to the same tobacco leaf sequence is obtained, the comprehensive tobacco leaf use index of the same sequence is calculated according to the related historical data, and the calculation can be performed according to the following formula:
wherein F represents the comprehensive use index of the sequence tobacco leaves, and D1 represents the total consumption of the sequence tobacco leaves; d2 represents the single batch feeding amount of the cigarette specification; d3 represents the total consumption of tobacco leaves; d4 represents the class weight of the single bin.
In addition, the historical data of the tobacco consumption can be obtained by determining a target cigarette brand and a target specification of the target cigarette brand and obtaining the historical data of the tobacco consumption of the target specification of the target cigarette brand, and the specific steps can be used for comparing the production places and the grade conditions of raw materials with different brands and different specifications and similar leaf group formulas, determining the areas and the grade distribution of the raw materials required by the cigarettes with different brands and different specifications, and then obtaining the historical data of the corresponding areas and the grade distribution.
Step S102, detecting whether the comprehensive index is smaller than a preset value or not, when the comprehensive index is smaller than the preset value, marking the corresponding sequence as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, marking the corresponding sequence as an investigation sequence.
Specifically, generally, the calculated comprehensive index is a percentage, and the preset value may be preset to 50%, when the comprehensive index is less than 50%, it indicates that the input amount of the tobacco leaves in the area and the grade is small, and the tobacco leaves in the area and the grade need to be subjected to subsequent type combination, and then the tobacco leaves with the small input amount are marked as a regulating sequence, otherwise, the tobacco leaves are marked as a surveying sequence.
And S103, merging the regulating sequence into an investigation sequence which has the same province and grade as the regulating sequence but is different from the province and the grade of the regulating sequence in the city, and dividing the data in the merged regulating sequence and the investigation sequence into the same group of data.
Specifically, the regulating sequence is merged into an investigation sequence which is the same as the province and grade of the regulating sequence but different from the city, namely, the tobacco variety with small input amount is merged into the tobacco variety with large input amount, namely, the sequence with F less than 50 percent is respectively merged into the same group with the sequence with the same province, the same grade and different city and F more than or equal to 50 percent to be used as the same group data.
And step S104, clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each cluster of data after clustering only contains one investigation sequence.
Specifically, the tobacco sequences in the same group are divided into different clusters; each cluster contains one and only one sequence with the F being more than or equal to 50 percent, and then the clustering results are summed, namely when a plurality of sequences with the F being more than or equal to 50 percent exist in the group, the F is more than or equal to 50 percentmaxAdding F in sequence feeding amountminAdding the second lowest sequence feeding amount of F till the summation is within the range of +/-4% of the nearest 50 integral multiples; adding the sequential feed amount of the second rank F and the sequential feed amount of the third lowest rank F until the summation is within the range of +/-4% of the nearest 50 integral multiple, and stopping; and analogizing in turn, and performing summation operation until the sequence feeding amount of F is less than 50% to obtain a preliminary formula.
And S105, obtaining the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
Specifically, after a preliminary formula is obtained, the yield of the tobacco leaves in the same year is obtained, the yield of the tobacco leaves is compared with a clustering result, in order to detect whether the yield of the tobacco leaves meets the requirement of the preliminary formula, and the preliminary formula is adjusted according to the comparison result, for example, when the yield of the tobacco leaves in the comparison result is smaller than data corresponding to the clustering result, the data corresponding to the clustering result is allocated by other data with the same province and level but different cities, so that the data corresponding to the allocated clustering result is equal to the yield of the tobacco leaves, and the specific operation steps are as follows: when the annual transfer amount (tobacco yield) of the sequence cannot meet the annual standard formula demand (clustering result) of the leaf group, the grade feeding amount is reduced to other grades; other rank priorities are: the same group is larger than different groups of the same category, and the F value is from maximum to 50%; selecting a second grade (F is less than 50%) of the F value to enter a use investigation grade when the annual transfer quantity of the grade with the F content of more than or equal to 50% in the same group and different groups of the same class cannot meet the demand quantity or other grades with the F content of more than or equal to 50% do not exist; dividing the two levels into two clusters; the operation rule is the same as the step (8); and analogizing the F value to the third name, the fourth name and the like until the annual transfer amount of the selected grade meets the requirement.
According to the method for establishing the annual standard formula of the cigarette leaf group, provided by the embodiment of the invention, historical data of the consumption amount of tobacco leaves are obtained, the tobacco leaves with the same province, city and grade in the historical data are divided into the same sequence, and the comprehensive index of the tobacco leaves in the same sequence is calculated according to the historical data; detecting whether the comprehensive index is smaller than a preset value, when the comprehensive index is smaller than the preset value, marking the corresponding sequence as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, marking the corresponding sequence as an investigation sequence; the adjustment sequence is merged into an investigation sequence which has the same province and grade as the adjustment sequence but is different from the local market, and the data in the merged adjustment sequence and the investigation sequence are divided into the same group of data; clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence; and obtaining the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves. Therefore, the annual standard formula of the cigarette leaf group can be established according to the inherent characteristics of the use direction and the annual allocation amount of the tobacco leaves, the optimal use value of the raw materials is exerted, and the health degree of the stock state of the raw materials is enhanced.
Fig. 2 is a device for establishing an annual standard formula of an electric cigarette leaf group, provided by an embodiment of the present invention, and includes: an obtaining module S201, a detecting module S202, a merging module S203, a clustering module S204, and a comparing module S205, wherein:
the acquisition module S201 is used for acquiring historical data of tobacco consumption, dividing tobacco with same province, city and grade in the historical data into a same sequence, and calculating a comprehensive tobacco use index of the same sequence according to the historical data.
A detecting module S202, configured to detect whether the composite index is smaller than a preset value, when the composite index is smaller than the preset value, mark the corresponding sequence as an adjustment sequence, and when the composite index is greater than or equal to the preset value, mark the corresponding sequence as an investigation sequence.
And the merging module S203 is used for merging the regulating sequence into an investigation sequence which has the same province and grade as the regulating sequence but is different from the province and the grade of the regulating sequence in the city, and dividing the data in the merged regulating sequence and the investigation sequence into the same group of data.
And the clustering module S204 is used for clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence.
And the comparison module S205 is used for acquiring the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
In one embodiment, the apparatus may further comprise:
and the summing module is used for summing clustering results among different clusters in the same group of data, and determining the preliminary formula according to the summing result.
In one embodiment, the apparatus may further comprise:
and the adjusting module is used for adjusting or reducing the summation result to enable the data of the summation result to be integer multiples of 50.
In one embodiment, the apparatus may further comprise:
the determining module is used for determining a target cigarette brand and a target specification of the target cigarette brand and acquiring historical data of tobacco consumption of the target specification of the target cigarette brand.
In one embodiment, the apparatus may further comprise:
and the allocating module is used for allocating the data corresponding to the clustering result to other data which have the same province and grade as the data corresponding to the clustering result but different cities when the tobacco yield in the comparison result is less than the data corresponding to the clustering result, so that the allocated data corresponding to the clustering result is equal to the tobacco yield.
For the specific definition of the cigarette leaf group annual standard formula establishing device, reference may be made to the above definition of the cigarette leaf group annual standard formula establishing method, which is not described herein again. All modules in the cigarette leaf group annual standard formula establishing device can be completely or partially realized through software, hardware and a combination of the software and the hardware. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)301, a memory (memory)302, a communication Interface (Communications Interface)303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication Interface 303 complete communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: acquiring historical data of tobacco consumption, dividing tobacco with same province, city and grade in the historical data into a same sequence, and calculating comprehensive tobacco use indexes of the same sequence according to the historical data; detecting whether the comprehensive index is smaller than a preset value, when the comprehensive index is smaller than the preset value, marking the corresponding sequence as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, marking the corresponding sequence as an investigation sequence; the adjustment sequence is merged into an investigation sequence which has the same province and grade as the adjustment sequence but is different from the local market, and the data in the merged adjustment sequence and the investigation sequence are divided into the same group of data; clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence; and obtaining the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
Furthermore, the logic instructions in the memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: acquiring historical data of tobacco consumption, dividing tobacco with same province, city and grade in the historical data into a same sequence, and calculating comprehensive tobacco use indexes of the same sequence according to the historical data; detecting whether the comprehensive index is smaller than a preset value, when the comprehensive index is smaller than the preset value, marking the corresponding sequence as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, marking the corresponding sequence as an investigation sequence; the adjustment sequence is merged into an investigation sequence which has the same province and grade as the adjustment sequence but is different from the local market, and the data in the merged adjustment sequence and the investigation sequence are divided into the same group of data; clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence; and obtaining the yield of the tobacco leaves in the same year, comparing the yield of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A method for establishing an annual standard formula of a cigarette leaf group is characterized by comprising the following steps:
acquiring historical data of tobacco consumption, dividing tobacco with same province, city and grade in the historical data into a same sequence, and calculating comprehensive tobacco use indexes of the same sequence according to the historical data;
wherein the tobacco leaf uses a comprehensive index, which is calculated by the following formula:
wherein F represents the comprehensive use index of the sequence tobacco leaves, and D1 represents the total consumption of the sequence tobacco leaves; d2 represents the single batch feeding amount of the cigarette specification; d3 represents the total consumption of tobacco leaves; d4 represents the grade individual case weight;
detecting whether the comprehensive index is smaller than a preset value or not, when the comprehensive index is smaller than the preset value, marking the corresponding sequence as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, marking the corresponding sequence as an investigation sequence;
the regulating sequence is merged into an investigation sequence which has the same province and grade as the regulating sequence but is different from the city, and the data in the merged regulating sequence and the investigation sequence are divided into the same group of data;
clustering the data of the same group according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence;
wherein the determining a preliminary formula according to the clustering result comprises:
summing clustering results among different clusters in the same group of data, and determining the preliminary formula according to the summation result;
and acquiring the annual transfer amount of tobacco leaves, comparing the annual transfer amount of the tobacco leaves with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
2. The method for establishing a standard annual formula for a group of cigarette tobacco leaves according to claim 1, wherein the method further comprises:
and adjusting or reducing the summation result to enable the data of the summation result to be integer multiples of 50.
3. The method for establishing a standard formula of a cigarette leaf group year according to claim 1, wherein the obtaining of the historical data of the tobacco leaf consumption comprises:
determining a target cigarette brand and a target specification of the target cigarette brand, and acquiring historical data of tobacco consumption of the target specification of the target cigarette brand.
4. The method for establishing a standard annual formula for a group of cigarette tobacco leaves according to claim 1, wherein the adjusting the preliminary formula according to the comparison result comprises:
and when the annual allocation amount of the tobacco leaves in the comparison result is smaller than the data corresponding to the clustering result, adjusting the data corresponding to the clustering result by using other data which have the same province and grade as the data corresponding to the clustering result but different cities, so that the data corresponding to the adjusted clustering result is equal to the annual allocation amount of the tobacco leaves.
5. A cigarette leaf group annual standard formula establishing device is characterized by comprising:
the acquisition module is used for acquiring historical data of tobacco leaf consumption, dividing tobacco leaves with the same province, city and grade in the historical data into the same sequence, and calculating a comprehensive tobacco leaf use index of the same sequence according to the historical data, wherein the comprehensive tobacco leaf use index is calculated through the following formula:
wherein F represents the comprehensive use index of the sequence tobacco leaves, and D1 represents the total consumption of the sequence tobacco leaves; d2 represents the single batch feeding amount of the cigarette specification; d3 represents the total consumption of tobacco leaves; d4 represents the grade individual case weight;
the detection module is used for detecting whether the comprehensive index is smaller than a preset value or not, when the comprehensive index is smaller than the preset value, the corresponding sequence is marked as an adjusting sequence, and when the comprehensive index is larger than or equal to the preset value, the corresponding sequence is marked as an investigation sequence;
the merging module is used for merging the regulating sequence into an investigation sequence which has the same province and grade as the regulating sequence but is different from the province and the grade of the regulating sequence in the city, and dividing the data in the merged regulating sequence and the investigation sequence into the same group of data;
the clustering module is used for clustering the same group of data according to a preset clustering standard to obtain a clustering result, and determining a preliminary formula according to the clustering result, wherein the clustering standard is that each clustered data only contains one investigation sequence;
the summing module is used for summing clustering results among different clusters in the same group of data and determining the preliminary formula according to the summing result;
and the comparison module is used for acquiring the annual tobacco leaf allocation amount, comparing the annual tobacco leaf allocation amount with the clustering result, and adjusting the preliminary formula according to the comparison result to obtain the annual standard formula of the tobacco leaves.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method for establishing a standard formula for a group of tobacco leaves according to any one of claims 1 to 4.
7. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method for establishing a standard annual formula for a group of cigarette leaves according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110446220.7A CN113142630B (en) | 2021-04-25 | 2021-04-25 | Method and device for establishing annual standard formula of cigarette leaf group |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110446220.7A CN113142630B (en) | 2021-04-25 | 2021-04-25 | Method and device for establishing annual standard formula of cigarette leaf group |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113142630A CN113142630A (en) | 2021-07-23 |
| CN113142630B true CN113142630B (en) | 2022-04-29 |
Family
ID=76870511
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110446220.7A Active CN113142630B (en) | 2021-04-25 | 2021-04-25 | Method and device for establishing annual standard formula of cigarette leaf group |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113142630B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114863580B (en) * | 2022-05-12 | 2023-07-07 | 江苏中烟工业有限责任公司 | Method, device, equipment and medium for determining residence time of tobacco processing |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020765A (en) * | 2012-12-10 | 2013-04-03 | 红塔烟草(集团)有限责任公司 | Tobacco leaf raw material dynamic balancing method |
| GB201611596D0 (en) * | 2016-07-04 | 2016-08-17 | British American Tobacco Investments Ltd | Apparatus and method for classifying a tobacco sample into one of a predefined set of taste categories |
| CN105996112A (en) * | 2016-04-13 | 2016-10-12 | 福建中烟工业有限责任公司 | Tobacco leaf quality grading method |
| CN110134710A (en) * | 2019-04-02 | 2019-08-16 | 杭州电子科技大学 | A method of cigarette composition Rule Extraction and composition maintenance based on Bayesian network |
-
2021
- 2021-04-25 CN CN202110446220.7A patent/CN113142630B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020765A (en) * | 2012-12-10 | 2013-04-03 | 红塔烟草(集团)有限责任公司 | Tobacco leaf raw material dynamic balancing method |
| CN105996112A (en) * | 2016-04-13 | 2016-10-12 | 福建中烟工业有限责任公司 | Tobacco leaf quality grading method |
| GB201611596D0 (en) * | 2016-07-04 | 2016-08-17 | British American Tobacco Investments Ltd | Apparatus and method for classifying a tobacco sample into one of a predefined set of taste categories |
| CN110134710A (en) * | 2019-04-02 | 2019-08-16 | 杭州电子科技大学 | A method of cigarette composition Rule Extraction and composition maintenance based on Bayesian network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113142630A (en) | 2021-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dargay et al. | World oil demand’s shift toward faster growing and less price-responsive products and regions | |
| CN103844344B (en) | A kind of regulate and control the method for different batches cigarette shreds quality uniformity and application thereof | |
| CN113142630B (en) | Method and device for establishing annual standard formula of cigarette leaf group | |
| CN108093149A (en) | Exclusive pond distribution method, electronic device and the computer readable storage medium of attending a banquet | |
| CN115018401B (en) | Pressure compensation and monitoring early warning system between roller of sanding machine roller | |
| CN105354313A (en) | Method for carrying out credit assessment by big data | |
| KR102428665B1 (en) | Portfolio providing apparatus, method and computer program for asset allocation considering investment type | |
| KR101739112B1 (en) | Stock trading method and stock trading system using the same | |
| Bourguignon et al. | Aid effectiveness revisited: The trade-off between needs and governance | |
| Tatliyer et al. | Does exchange rate volatility really influence foreign trade? Evidence from Turkey | |
| CN114357085A (en) | Financial data storage method and device based on block chain and storage medium | |
| Palokangas | Union–firm bargaining, productivity improvement and endogenous growth | |
| CN103020765A (en) | Tobacco leaf raw material dynamic balancing method | |
| Yuhuan et al. | Analysis of egg price fluctuation and cause | |
| Ibeh et al. | The rise of African multinationals: Are IB scholars paying sufficient attention? | |
| US20160203428A1 (en) | System and method for adaptive and dynamic pricing of self-storage storage units | |
| Roson | Sectoral Differences in Labor Productivity Growth: Estimation and Modeling | |
| Brecher et al. | Unemployment and income‐distribution effects of economic growth: A minimum‐wage analysis with optimal saving | |
| CN113988661A (en) | Power distribution method, device and equipment for special transformer terminal | |
| CN110460663A (en) | Data distributing method, device, server and storage medium between distributed node | |
| Marshall | Wage-setting regimes and inequality: Evidence from Argentina | |
| Piekut | The rich North-west, the poor Middle-east–consumption in EU households | |
| CN102800019A (en) | Investment portfolio planning method based on different types of finance products | |
| CN110782136B (en) | Energy information processing system and method based on comprehensive energy big data | |
| Gong et al. | Impact of risk aversion on the optimal rotation with stochastic price |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |