CN115081890A - Cigarette formula module quality monitoring system, method and related components - Google Patents
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Abstract
The application relates to the technical field of cigarettes and discloses a system and a method for monitoring quality of a cigarette formula module and related components. The data processor is used for acquiring historical production and marketing information of all the cigarette specifications of the target formula module so as to determine production and marketing records of all the cigarette specifications of the target formula module according to the historical production and marketing information; the value calculation model is used for calculating the module value of the target formula module based on the production and marketing records; wherein the module value characterizes the module quality of the target formulation module and is in a positive correlation with the module quality; the quality monitoring component is used for monitoring the quality of the target formula module according to the module value of the target formula module. The quality monitoring system of the cigarette formula module can replace manual work to evaluate the value of the cigarette formula module, so that quality monitoring is realized, quality judgment errors caused by subjective evaluation of artificial senses are avoided, and meanwhile, the quality monitoring efficiency of the cigarette formula module is improved to a greater extent.
Description
Technical Field
The invention relates to the technical field of cigarettes, in particular to a system, a method, equipment and a storage medium for monitoring the quality of a cigarette formula module.
Background
In the design process of the cigarette leaf group formula, in order to improve the universality of the designed leaf group formula and facilitate reasonable purchase, accurate quality evaluation needs to be carried out on each cigarette formula module, and the cigarette formula modules can be ensured to be applied to cigarettes of corresponding grades. At present, most methods for judging the quality grade of a formula module in the industry adopt a five-evaluation three-determination mode, a professional carries out smoking evaluation, four evaluation indexes (fragrance, smoke, taste and aroma) of the module are graded according to certain experience and personal senses, and the scores of the evaluation indexes are integrated to obtain the quality grade of the module. The quality judgment result is too subjective and scientific, and the subjective feelings of different personnel have great difference, so that the fluctuation degree of the quality grade of the module is great. Meanwhile, the evaluation method consumes a large amount of human resources, and greatly causes cost waste.
Therefore, how to accurately and efficiently monitor the quality of the cigarette formula module is a technical problem to be solved urgently by the technical personnel in the field.
Disclosure of Invention
In view of the above, the present invention provides a quality monitoring system, method, device and storage medium for a cigarette formula module, which can avoid quality evaluation errors caused by subjective evaluation of artificial senses, and improve the quality monitoring efficiency of the cigarette formula module to a greater extent. The specific scheme is as follows:
a first aspect of the application provides a cigarette formulation module quality monitoring system, comprising:
the data processor is used for acquiring historical production and marketing information of all cigarette product gauges of the target formula module so as to determine production and marketing records of all the cigarette product gauges of the target formula module according to the historical production and marketing information;
the value calculation model is used for calculating the module value of the target formula module based on the production and marketing records; wherein the module value characterizes and has a positive correlation with the module mass of the target recipe module;
a quality monitoring component for monitoring the quality of the target recipe module according to the module value of the target recipe module.
Optionally, the data processor includes:
the first processor is used for filtering the historical production and marketing information to obtain a plurality of initial production and marketing records comprising usage proportion, usage amount each time, product specification total amount and product specification selling unit price; wherein one of said production and marketing records represents that said target recipe module is used once in production; the use proportion and the use amount of each time are the proportion and the use amount of the target formula module in the use;
and the second processor is used for integrating each initial production and marketing record of the cigarette product gauges of the same type so as to determine the production and marketing record corresponding to each cigarette product gauge, wherein the production and marketing record comprises the use proportion, the use amount, the total product gauge amount, the product gauge selling unit price, the use times and the product gauge production unit price.
Optionally, the value calculation model is configured to calculate the module value of the target recipe module based on a first relation and the production and marketing record;
the first relation is:
wherein Z represents the module value of the target formula matching module, i represents the type of the cigarette product gauge, and p, r and n respectively represent the production unit price, the use proportion and the use times of the product gauge corresponding to the ith cigarette product gauge.
Optionally, the cigarette formula module quality monitoring system further includes:
the grouping module is used for grouping all the types of the cigarette product specifications of the target formula module according to the product specification selling unit price so as to obtain different product specification groups;
the value calculation model is used for calculating the grouping module value of the target formula module in each product specification group based on the production and marketing records, and determining the grouping module value in a preset group as the module value of the target formula module.
Optionally, the production and marketing record further includes a product specification grade of the cigarette product specification;
correspondingly, the grouping module is further configured to group all the types of the cigarette product gauges of the target formula module according to the product specification level, so as to obtain different product gauge groups.
Optionally, the determining the module value of the target recipe module as the group module value in a preset group includes:
determining the grouping module value of the qualification grouping corresponding to the highest grade of the qualification grade as the module value of the target recipe module.
A second aspect of the present application provides a method for monitoring quality of a cigarette formula module, based on the above system for monitoring quality of a cigarette formula module, comprising:
acquiring historical production and marketing information of all the cigarette gauges of a target formula module by using a data processor, and determining production and marketing records of all the cigarette gauges of the target formula module according to the historical production and marketing information;
calculating the module value of the target formula module based on the production and marketing records by using a value calculation model; wherein the module value characterizes and has a positive correlation with the module mass of the target recipe module;
monitoring the quality of the target recipe module according to the module value of the target recipe module by using a quality monitoring component.
Optionally, the method for monitoring the quality of the cigarette formula module further comprises:
filtering the historical production and sale information by using a first processor to obtain a plurality of initial production and sale records comprising usage proportion, usage amount each time, product specification total amount and product specification sale unit price; wherein one of said production and marketing records represents that said target recipe module is used once in production; the use proportion and the use amount of each time are the proportion and the use amount of the target formula module in the use;
and integrating each initial production and marketing record of the cigarette product gauges of the same type by using a second processor to determine the production and marketing record corresponding to each cigarette product gauge, wherein the production and marketing record comprises the use proportion, the use amount, the total product gauge amount, the product gauge selling unit price, the use times and the product gauge production unit price.
A third aspect of the application provides an electronic device comprising a processor and a memory; wherein the memory is used for storing a computer program which is loaded and executed by the processor to realize the quality monitoring method of the cigarette formula module.
A fourth aspect of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are loaded and executed by a processor, the method for monitoring the quality of the cigarette formula module is implemented.
In the application, the cigarette formula module quality monitoring system comprises a data processor, a value calculation model and a quality monitoring component. The data processor is used for acquiring historical production and marketing information of all cigarette product gauges of a target formula module, and determining production and marketing records of all the cigarette product gauges of the target formula module according to the historical production and marketing information; the value calculation model is used for calculating the module value of the target formula module based on the production and marketing records; wherein the module value characterizes and has a positive correlation with a module mass of the target recipe module; the quality monitoring component is used for monitoring the quality of the target formula module according to the module value of the target formula module. Therefore, the quality monitoring system of the cigarette formula module can replace manual work to evaluate the value of the cigarette formula module, so that quality monitoring is realized, quality judgment errors caused by artificial sensory subjective evaluation are avoided, and the quality monitoring efficiency of the cigarette formula module is improved to a greater extent. The cigarette formula module quality monitoring method provided by the application can achieve the same technical effect based on the cigarette formula module quality monitoring system, and is not repeated herein.
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 described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a diagram of a cigarette formulation module quality monitoring system configuration provided herein;
FIG. 2 is a block diagram of a top-level module value distribution provided by the present application;
FIG. 3 is a flow chart of a method for monitoring the quality of a cigarette formulation module provided by the present application;
fig. 4 is a structural diagram of an electronic device for monitoring quality of a cigarette formula module provided by the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Existing
Fig. 1 is a structural diagram of a quality monitoring system of a cigarette formula module provided in an embodiment of the present application. Referring to fig. 1, the cigarette formulation module quality monitoring system includes a data processor 01, a value calculation model 02, and a quality monitoring component 03, specifically:
the data processor 01 is configured to obtain historical production and marketing information of all the cigarette gauges of the target formula module, and determine production and marketing records of all the cigarette gauges of the target formula module according to the historical production and marketing information.
In this embodiment, the data processor 01 is mainly configured to obtain historical production and marketing information of a certain formula module, where the historical production and marketing information covers relevant information of all cigarette gauges. Generally, production information, sales information, and the like of each lot are acquired from a plurality of databases such as a cigarette production database or a sales database. In particular, in order to ensure the stability and authenticity of the production and marketing information of the formula module, the collection and analysis of the production and marketing information of all the cigarette product specifications of the formula module in recent years can be selected. Historical production and marketing information includes, but is not limited to: grade, production year, raw product name, module dosage, product specification total amount, module usage proportion, usage times, product specification retail price, module grade, product name, whether the cigarette contains exploded beads, product specification, circumference, cigarette length, filter tip length, cigarette quality, retail price, production area, grade, year, proportion, dosage, product name, total amount, retail price and the like. And then filtering the information to finally form the corresponding production and marketing records.
In this embodiment, the data processor 01 includes a first processor and a second processor, and the first processor is configured to filter the historical production and sales information to obtain a plurality of initial production and sales records including usage proportion, usage amount per time, total quantity of the product, and unit price of sale of the product. Wherein one of said production and marketing records represents that said target recipe module is used once in production; the use proportion and each dosage are the proportion and dosage of the target formula module in the use. The second processor is used for integrating each initial production and marketing record of the cigarette product gauges of the same type to determine the production and marketing record corresponding to each cigarette product gauge, wherein the production and marketing record comprises use proportion, use amount, total product gauge amount, product gauge sale unit price, use times and product gauge production unit price. Because each finished cigarette product of each specification has a plurality of formula lists, the times of use in each formula list need to be considered in value calculation, and the more times of use indicates that the module has greater effect in the production process, so the value of the corresponding module is higher.
The value calculation model 02 is used for calculating the module value of the target formula module based on the production and marketing records; wherein the module value characterizes and has a positive correlation with the module mass of the target recipe module;
the quality monitoring component 03 is configured to monitor the quality of the target recipe module according to the module value of the target recipe module.
In this embodiment, the value calculation model 02 further calculates the module value of the target recipe module based on a first relation and the production and marketing record. The first relation is:
wherein Z represents the module value of the target formula matching module, i represents the type of the cigarette product gauge, and p, r and n respectively represent the production unit price, the use proportion and the use times of the product gauge corresponding to the ith cigarette product gauge.
In this embodiment, the specifications of the same formula module used in different years are different, which indicates that the quality of the same formula module is different every year. The span of module usage is also large in terms of module usage. In terms of the number of times of use, some formula modules are produced only once on a certain product scale, and some formula modules are produced hundreds of times. Therefore, when calculating the module value, not only the sales unit price of the product specification, the module usage ratio, the usage times and the module usage amount are taken into consideration, but also the values of the formula module in different sales unit price intervals are calculated respectively on the basis.
Therefore, the quality monitoring system for the cigarette formula module in this embodiment further includes a grouping module, which is configured to group all kinds of the cigarette product rules of the target formula module according to the product rule selling unit price to obtain different product rule groups. In another embodiment, the single-valence interval may be mapped to a product specification, with different product specifications having a fixed product specification. At this point, the production and marketing record should also include the product specification grade of the cigarette product gauge. The grouping module is used for grouping all the types of the cigarette product specifications of the target formula module according to the product specification grade so as to obtain different product specification groups. Finally, the value calculation model 02 is used for calculating the grouping module value of the target recipe module in each qualification grouping based on the production and marketing records, and determining the grouping module value in a preset grouping as the module value of the target recipe module.
In this embodiment, when a plurality of grades exist in the same module for one year, because the highest grade is often the most concerned by the recipe staff, the highest grade module value data is selected as the "module value" of the module in the current year, that is, for the case of grouping according to the product specification grade, the grouping module value of the product specification group corresponding to the product specification grade of the highest grade is determined as the module value of the target recipe module. Therefore, the comprehensive quality of the module can be reflected more stably. The highest-grade module value distribution is shown in fig. 2, and it can be observed that most of the highest-grade module values are concentrated between [195,535], and all grade module values are distributed within the range of [127,875], wherein the higher the grade, the higher the average module value. The lowest module value is 127 yuan/kg, the highest module value is 875 yuan/kg, the median module value is 323 yuan/kg, and the module number with the module value of 250 yuan/kg is the most.
It should be noted that, in production, because some formula modules are positioned differently in function, the formula modules with relatively balanced quality may be used in various product specifications as modules with relatively strong substitution, and the formula modules with relatively poor quality may be used not only in cigarettes with relatively low price in the product specifications, but also as filling modules to be used in a small amount in the product specifications with relatively high price. The high-value formula module has good quality in all aspects, and can be temporarily used in low-value cigarettes when other modules are scarce. The substitution of the formula module in production and the factors of high grade and low use of the formula module are eliminated, and the value of the formula module is more accurately described.
In this embodiment, the target recipe module 002 in 2014 is taken as an example, and the scheme based on the product specification grade is exemplified. After the processing of the first processor, a specific initial production and marketing record data table is obtained, as shown in the following table (with limited space, 10-1070 records are omitted in the table):
besides the necessary information of the use proportion, the use amount per time, the total amount of the product specification, the sale unit price of the product specification and the grade of the product specification, the information of the number of the use times, the birth area, the module and the year is also included. Each data line in the table above represents a module 002 that is used once in production. And then, after all data are summarized by the grouping module according to the product specification, a production and marketing record data table shown as follows is obtained:
at this time, the value calculation model calculation module 002 calculates the value V of the grouping module of the ith product class i The formula is as follows:
for product specification 1:
for product specification grade 2:
for product specification 3:
for product specification 4:
through the objective calculation of module value, the module value representation results of the module 002 with 4 different grades in 2014 are obtained. Since the highest-grade cigarette product specification is often the most concerned by the formulator, the economic value generated is also the highest and most representative of the economic value that the module can generate, the highest-grade module value, i.e., the first-grade value calculation result 250, is selected as the 2014-year module value of module 002, representing 250 yuan per kilogram of 002 module value.
Fig. 3 is a flowchart of a method for monitoring quality of a cigarette formula module according to an embodiment of the present application. Referring to fig. 3, the method for monitoring the quality of the cigarette formula module is based on the system for monitoring the quality of the cigarette formula module, and comprises the following steps:
s11: and acquiring historical production and marketing information of all the cigarette product gauges of the target formula module by using a data processor, and determining production and marketing records of all the cigarette product gauges of the target formula module according to the historical production and marketing information.
In this embodiment, when the historical production and marketing information and the corresponding production and marketing records are obtained, the historical production and marketing information is specifically filtered by using a first processor to obtain a plurality of initial production and marketing records including usage proportion, usage amount for each time, total quantity of a product specification and unit price of the product specification; wherein one of said production and marketing records represents that said target recipe module is used once in production; the use proportion and each dosage are the proportion and dosage of the target formula module in the use. And then, integrating each initial production and marketing record of the cigarette product gauges of the same type by using a second processor to determine the production and marketing record corresponding to each cigarette product gauge, wherein the production and marketing record comprises the use proportion, the use amount, the total product gauge amount, the product gauge selling unit price, the use times and the product gauge production unit price.
S12: calculating the module value of the target formula module based on the production and marketing records by using a value calculation model; wherein the module value characterizes and has a positive correlation with the module mass of the target recipe module.
S13: monitoring the quality of the target recipe module according to the module value of the target recipe module by using a quality monitoring component.
In the embodiment, the module value can be objectively calculated by a historical data mining method, the information representation condition hidden in the data is found out, then key factors influencing the module value are found out, and a model for effectively representing the module value is established. The method can calculate the objective module value of the cigarette formula module, simplify the judgment of the quality of the formula module and the decision of the module use, eliminate the module grade fluctuation and the fluctuation of the formula of the cigarette module caused by artificial sensory judgment fluctuation, and achieve the purposes of stabilizing the product formula and scientifically judging the decision.
Further, the embodiment of the application also provides electronic equipment. FIG. 4 is a block diagram illustrating an electronic device 20 according to an exemplary embodiment, and the contents of the diagram should not be construed as limiting the scope of use of the present application in any way.
Fig. 4 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present disclosure. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. The memory 22 is used for storing a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the cigarette formulation module quality monitoring method disclosed in any one of the foregoing embodiments.
In this embodiment, the power supply 23 is configured to provide a working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and a communication protocol followed by the communication interface is any communication protocol applicable to the technical solution of the present application, and is not specifically limited herein; the input/output interface 25 is configured to obtain external input data or output data to the outside, and a specific interface type thereof may be selected according to specific application requirements, which is not specifically limited herein.
In addition, the storage 22 is used as a carrier for storing resources, and may be a read-only memory, a random access memory, a magnetic disk or an optical disk, etc., and the resources stored thereon may include an operating system 221, a computer program 222, data 223, etc., and the storage manner may be a transient storage or a permanent storage.
The operating system 221 is used for managing and controlling each hardware device and the computer program 222 on the electronic device 20, so as to realize the operation and processing of the mass data 223 in the memory 22 by the processor 21, and may be Windows Server, Netware, Unix, Linux, and the like. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the method performed by the electronic device 20 disclosed in any of the foregoing embodiments. Data 223 may include historical production and marketing information collected by electronic device 20.
Further, an embodiment of the present application further discloses a storage medium, in which a computer program is stored, and when the computer program is loaded and executed by a processor, the steps of the method for monitoring the quality of the cigarette formula module disclosed in any one of the embodiments are implemented.
In the present specification, the embodiments are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same or similar parts between the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The cigarette formula module quality monitoring system, method, equipment and storage medium provided by the invention are introduced in detail, specific examples are applied in the description to explain the principle and the implementation mode of the invention, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A cigarette formula module quality monitoring system is characterized by comprising:
the data processor is used for acquiring historical production and marketing information of all the cigarette gauges of the target formula module so as to determine production and marketing records of all the cigarette gauges of the target formula module according to the historical production and marketing information;
a value calculation model for calculating a module value of the target recipe module based on the production and marketing record; wherein the module value characterizes and has a positive correlation with the module mass of the target recipe module;
a quality monitoring component for monitoring the quality of the target recipe module according to the module value of the target recipe module.
2. The cigarette formulation module quality monitoring system of claim 1, wherein the data processor comprises:
the first processor is used for filtering the historical production and marketing information to obtain a plurality of initial production and marketing records comprising usage proportion, usage amount each time, product specification total amount and product specification selling unit price; wherein one of said production and marketing records represents that said target recipe module is used once in production; the use proportion and the use amount of each time are the proportion and the use amount of the target formula module in the use;
and the second processor is used for integrating each initial production and marketing record of the cigarette product gauges of the same type so as to determine the production and marketing record corresponding to each cigarette product gauge, wherein the production and marketing record comprises the use proportion, the use amount, the total product gauge amount, the product gauge selling unit price, the use times and the product gauge production unit price.
3. The cigarette formulation module quality monitoring system of claim 2, wherein the value calculation model is configured to calculate the module value of the target formulation module based on a first relationship and the production and marketing record;
the first relation is:
wherein Z represents the module value of the target formula matching module, i represents the type of the cigarette product gauge, and p, r and n respectively represent the production unit price, the use proportion and the use times of the product gauge corresponding to the ith cigarette product gauge.
4. The cigarette formulation module quality monitoring system of claim 2 or 3, further comprising:
the grouping module is used for grouping all the types of the cigarette product specifications of the target formula module according to the product specification selling unit price so as to obtain different product specification groups;
the value calculation model is used for calculating the grouping module value of the target formula module in each product specification group based on the production and marketing records, and determining the grouping module value in a preset group as the module value of the target formula module.
5. The cigarette formulation module quality monitoring system of claim 4, wherein the production and marketing record further comprises a product specification grade of the cigarette product specification;
correspondingly, the grouping module is further configured to group all the types of the cigarette product gauges of the target formula module according to the product specification level, so as to obtain different product gauge groups.
6. The cigarette formulation module quality monitoring system of claim 5, wherein the determining the grouped module value in a preset grouping as the module value of the target formulation module comprises:
determining the grouping module value of the qualification grouping corresponding to the highest grade of the qualification grade as the module value of the target recipe module.
7. A method for monitoring the quality of a cigarette formula module, which is based on the system for monitoring the quality of a cigarette formula module according to any one of claims 1 to 6, and comprises the following steps:
acquiring historical production and marketing information of all the cigarette gauges of a target formula module by using a data processor, and determining production and marketing records of all the cigarette gauges of the target formula module according to the historical production and marketing information;
calculating the module value of the target formula module based on the production and marketing records by using a value calculation model; wherein the module value characterizes and has a positive correlation with the module mass of the target recipe module;
monitoring the quality of the target recipe module according to the module value of the target recipe module by using a quality monitoring component.
8. The cigarette formulation module quality monitoring method of claim 7, further comprising:
utilizing a first processor to filter the historical production and marketing information to obtain a plurality of initial production and marketing records comprising usage proportion, usage amount each time, product specification total amount and product specification selling unit price; wherein one of said production and marketing records represents that said target recipe module is used once in production; the use proportion and the use amount of each time are the proportion and the use amount of the target formula module in the use;
and integrating each initial production and marketing record of the cigarette product gauges of the same type by using a second processor to determine the production and marketing record corresponding to each cigarette product gauge, wherein the production and marketing record comprises the use proportion, the use amount, the total product gauge amount, the product gauge selling unit price, the use times and the product gauge production unit price.
9. An electronic device, wherein the electronic device comprises a processor and a memory; wherein the memory is for storing a computer program that is loaded and executed by the processor to implement the cigarette formulation module quality monitoring method of claim 7 or 8.
10. A computer-readable storage medium storing computer-executable instructions which, when loaded and executed by a processor, carry out a method of quality monitoring of a cigarette formulation module according to claim 7 or 8.
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Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102087729A (en) * | 2011-03-18 | 2011-06-08 | 贵州省烟草公司遵义市公司 | Method and system for quality monitoring in whole course of tobacco leaf production |
| CN104091295A (en) * | 2014-07-07 | 2014-10-08 | 东南大学 | Canteen service quality evaluation system and method |
| CN104360677A (en) * | 2014-12-18 | 2015-02-18 | 厦门烟草工业有限责任公司 | Cigarette processing quality evaluation and diagnosis method |
| CN104778542A (en) * | 2015-03-31 | 2015-07-15 | 北京首钢自动化信息技术有限公司 | Rapid quality design system and method based on history order modeling |
| CN105651940A (en) * | 2015-12-29 | 2016-06-08 | 云南省烟草烟叶公司 | Comprehensive determination method of quality characteristic of blend threshed tobacco leaves |
| CN105894308A (en) * | 2016-04-08 | 2016-08-24 | 浙江中烟工业有限责任公司 | On-line cigarette technology quality analysis and traceability system |
| CN106476421A (en) * | 2015-08-31 | 2017-03-08 | 上海合印包装服务有限公司 | A kind of printing quality monitoring system with history comparing function |
| CN107977798A (en) * | 2017-12-21 | 2018-05-01 | 中国计量大学 | A kind of risk evaluating method of e-commerce product quality |
| CN109636444A (en) * | 2018-11-17 | 2019-04-16 | 贵州省烟草公司黔南州公司 | A kind of cigarette source of goods automatic measurement & calculation and jettison system |
| CN109727069A (en) * | 2018-12-28 | 2019-05-07 | 合肥英泽信息科技有限公司 | A kind of cigarette marketing big data analysis system |
| US20200256837A1 (en) * | 2017-10-31 | 2020-08-13 | East China University Of Science And Technology | Electronic nose instrument for sensory quality evaluation of tobacco and tobacco product |
| CN111932292A (en) * | 2020-07-10 | 2020-11-13 | 广西中烟工业有限责任公司 | Cigarette product sales prediction method and device based on deep neural network |
| CN112132619A (en) * | 2020-09-23 | 2020-12-25 | 同济大学 | Order decision method and system for fresh products |
| CN113222427A (en) * | 2021-05-20 | 2021-08-06 | 武汉承梦电子商务有限公司 | Fresh electric commercial commodity quality intelligent monitoring and management method based on multi-dimensional characteristic data analysis |
| CN113326473A (en) * | 2021-05-31 | 2021-08-31 | 浙江中烟工业有限责任公司 | Cigarette leaf group formula maintenance method and storage medium |
| CN113361956A (en) * | 2021-06-29 | 2021-09-07 | 北京百度网讯科技有限公司 | Resource quality evaluation method, device, equipment and storage medium for resource producer |
| CN113361939A (en) * | 2021-06-15 | 2021-09-07 | 红云红河烟草(集团)有限责任公司 | Dynamic association method and system for quality and equipment management of wrapping machine type |
| CN113475747A (en) * | 2021-07-28 | 2021-10-08 | 河南中烟工业有限责任公司 | Method for monitoring quality of cigarette product |
| CN113592548A (en) * | 2021-07-30 | 2021-11-02 | 广州市思力智慧互联网科技有限公司 | Land value evaluation method and device |
| CN114417159A (en) * | 2022-01-20 | 2022-04-29 | 上海喜马拉雅科技有限公司 | Content quality evaluation method, model training method and related device |
-
2022
- 2022-06-27 CN CN202210737402.4A patent/CN115081890A/en active Pending
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102087729A (en) * | 2011-03-18 | 2011-06-08 | 贵州省烟草公司遵义市公司 | Method and system for quality monitoring in whole course of tobacco leaf production |
| CN104091295A (en) * | 2014-07-07 | 2014-10-08 | 东南大学 | Canteen service quality evaluation system and method |
| CN104360677A (en) * | 2014-12-18 | 2015-02-18 | 厦门烟草工业有限责任公司 | Cigarette processing quality evaluation and diagnosis method |
| CN104778542A (en) * | 2015-03-31 | 2015-07-15 | 北京首钢自动化信息技术有限公司 | Rapid quality design system and method based on history order modeling |
| CN106476421A (en) * | 2015-08-31 | 2017-03-08 | 上海合印包装服务有限公司 | A kind of printing quality monitoring system with history comparing function |
| CN105651940A (en) * | 2015-12-29 | 2016-06-08 | 云南省烟草烟叶公司 | Comprehensive determination method of quality characteristic of blend threshed tobacco leaves |
| CN105894308A (en) * | 2016-04-08 | 2016-08-24 | 浙江中烟工业有限责任公司 | On-line cigarette technology quality analysis and traceability system |
| US20200256837A1 (en) * | 2017-10-31 | 2020-08-13 | East China University Of Science And Technology | Electronic nose instrument for sensory quality evaluation of tobacco and tobacco product |
| CN107977798A (en) * | 2017-12-21 | 2018-05-01 | 中国计量大学 | A kind of risk evaluating method of e-commerce product quality |
| CN109636444A (en) * | 2018-11-17 | 2019-04-16 | 贵州省烟草公司黔南州公司 | A kind of cigarette source of goods automatic measurement & calculation and jettison system |
| CN109727069A (en) * | 2018-12-28 | 2019-05-07 | 合肥英泽信息科技有限公司 | A kind of cigarette marketing big data analysis system |
| CN111932292A (en) * | 2020-07-10 | 2020-11-13 | 广西中烟工业有限责任公司 | Cigarette product sales prediction method and device based on deep neural network |
| CN112132619A (en) * | 2020-09-23 | 2020-12-25 | 同济大学 | Order decision method and system for fresh products |
| CN113222427A (en) * | 2021-05-20 | 2021-08-06 | 武汉承梦电子商务有限公司 | Fresh electric commercial commodity quality intelligent monitoring and management method based on multi-dimensional characteristic data analysis |
| CN113326473A (en) * | 2021-05-31 | 2021-08-31 | 浙江中烟工业有限责任公司 | Cigarette leaf group formula maintenance method and storage medium |
| CN113361939A (en) * | 2021-06-15 | 2021-09-07 | 红云红河烟草(集团)有限责任公司 | Dynamic association method and system for quality and equipment management of wrapping machine type |
| CN113361956A (en) * | 2021-06-29 | 2021-09-07 | 北京百度网讯科技有限公司 | Resource quality evaluation method, device, equipment and storage medium for resource producer |
| CN113475747A (en) * | 2021-07-28 | 2021-10-08 | 河南中烟工业有限责任公司 | Method for monitoring quality of cigarette product |
| CN113592548A (en) * | 2021-07-30 | 2021-11-02 | 广州市思力智慧互联网科技有限公司 | Land value evaluation method and device |
| CN114417159A (en) * | 2022-01-20 | 2022-04-29 | 上海喜马拉雅科技有限公司 | Content quality evaluation method, model training method and related device |
Non-Patent Citations (1)
| Title |
|---|
| 张亚西;: "基于熵权TOPSIS模型的卷烟质量综合评价实证研究", 铜陵学院学报, no. 04, 15 August 2015 (2015-08-15), pages 43 - 45 * |
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