Cigar tobacco production capacity evaluation method, equipment and medium

Abstract

The invention discloses a cigar tobacco production capacity evaluation method, equipment and a medium. The method comprises the following steps: constructing a cigar tobacco generating ability evaluation system according to a cigar tobacco standardized production file and an evaluation index system construction model; calculating a first-level evaluation index weight and a second-level evaluation index weight of the cigar tobacco leaf generation capability evaluation system based on an analytic hierarchy process; analyzing the cigar tobacco production database to obtain the index value of the secondary evaluation index; and according to the first-level evaluation index weight, the second-level evaluation index weight and the index value of the second-level evaluation index, determining a cigar tobacco leaf generation capability evaluation value and an index to be improved. According to the technical scheme, the cigar tobacco generation standardization capability can be automatically and intelligently evaluated, and powerful data support is provided for scientific production of cigar tobacco production areas.

Description

Technical Field

[0001] The present invention relates to the technical field of cigar tobacco leaf raw material production, and in particular to a method, equipment and medium for evaluating cigar tobacco leaf production capacity. Background Art

[0002] With China's economic and social development, consumer demand for cigars has gradually increased. However, the low standardization and level of cigar tobacco leaf production, resulting in large fluctuations in raw tobacco quality and weak quality assurance, have seriously hampered the high-quality development of the cigar industry.

[0003] Because cigar tobacco production is influenced by both the natural environment and human factors, a wide range of standards are often applied to control each production process in practice to ensure the stability and uniformity of the quality of cigar tobacco raw materials. Currently, there is a lack of scientific and effective methods for evaluating the standardized production capacity of cigar tobacco. Therefore, there is an urgent need to establish an evaluation method for the standardized production capacity of cigar tobacco to guide cigar tobacco producing areas to identify their own problems and implement targeted improvements. Summary of the Invention

[0004] The present invention provides a method, device and medium for evaluating the production capacity of cigar tobacco leaves, which can solve the current problem of being unable to perform automated intelligent evaluation of the standardized production capacity of cigar tobacco leaves.

[0005] According to one aspect of the present invention, a method for evaluating the productivity of cigar tobacco leaves is provided, comprising:

[0006] Construct a model based on the standardized production documents and evaluation index system of cigar tobacco leaves and build a cigar tobacco production capacity evaluation system;

[0007] Based on the analytic hierarchy process, the weights of the first-level evaluation indicators and the second-level evaluation indicators of the cigar tobacco leaf production capacity evaluation system were calculated;

[0008] Parse the cigar tobacco production database to obtain the index values ​​of the secondary evaluation indicators;

[0009] Based on the weights of the first-level evaluation indicators, the weights of the second-level evaluation indicators and the index values ​​of the second-level evaluation indicators, the evaluation value of the cigar tobacco leaf production capacity and the indicators to be improved are determined.

[0010] According to another aspect of the present invention, there is provided a device for evaluating the productivity of cigar tobacco leaves, comprising:

[0011] An evaluation system construction module is used to build a model based on the standardized production documents of cigar tobacco leaves and the evaluation index system to construct a cigar tobacco leaf production capacity evaluation system;

[0012] An indicator weight calculation module is used to calculate the first-level evaluation indicator weights and second-level evaluation indicator weights of the cigar tobacco leaf production capacity evaluation system based on the hierarchical analysis method;

[0013] An indicator value determination module is used to parse the cigar tobacco production database to obtain the indicator values ​​of the secondary evaluation indicators;

[0014] The production capacity evaluation module is used to determine the cigar tobacco leaf production capacity evaluation value and the indicators to be improved based on the first-level evaluation index weight, the second-level evaluation index weight and the index value of the second-level evaluation index.

[0015] According to another aspect of the present invention, an electronic device is provided, comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the method for evaluating the productivity of cigar tobacco leaves according to any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, wherein the computer instructions are configured to cause a processor to implement the method for evaluating the productivity of cigar tobacco leaves according to any embodiment of the present invention when executed.

[0020] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when executed by a processor, the computer program implements the method for evaluating the productivity of cigar tobacco leaves according to any embodiment of the present invention.

[0021] The technical solution of the embodiment of the present invention is to construct a model based on the standardized production documents of cigar tobacco leaves and the evaluation index system to construct a cigar tobacco leaf production capacity evaluation system, thereby calculating the first-level evaluation index weight and the second-level evaluation index weight of the cigar tobacco leaf production capacity evaluation system based on the hierarchical analysis method, and then parsing the cigar tobacco leaf production database to obtain the index value of the second-level evaluation index. Further, based on the first-level evaluation index weight, the second-level evaluation index weight and the index value of the second-level evaluation index, the cigar tobacco leaf production capacity evaluation value and the indicators to be improved are determined. This solution can automatically generate a cigar tobacco leaf production capacity evaluation value to help growers grasp the cigar tobacco leaf production situation from a macro perspective, and based on the indicators to be improved, carry out targeted fine-grained control of cigar tobacco leaf production, improve the standardization capacity of cigar tobacco leaf raw material production, thereby better improving the quality stability and uniformity of cigar tobacco leaf raw materials, solving the current problem of being unable to perform automated intelligent evaluation of cigar tobacco leaf production standardization capacity, and can perform automated intelligent evaluation of cigar tobacco leaf production standardization capacity, providing strong data support for scientific production in cigar tobacco leaf producing areas.

[0022] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 A flow chart of a method for evaluating cigar tobacco production capacity provided in Example 1 of the present invention;

[0025] Figure 2 A flowchart of a method for evaluating cigar tobacco production capacity provided in Example 2 of the present invention;

[0026] Figure 3 A schematic diagram of the structure of a device for evaluating cigar tobacco production capacity provided by the third embodiment of the present invention;

[0027] Figure 4 A schematic structural diagram of an electronic device that can be used to implement an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Example 1

[0031] Figure 1 This is a flow chart of a method for evaluating cigar tobacco production capacity provided in the first embodiment of the present invention. This embodiment is applicable to the case of performing automated intelligent evaluation of the standardized production capacity of cigar tobacco leaves. The method can be executed by an evaluation device for cigar tobacco production capacity. The evaluation device for cigar tobacco production capacity can be implemented in the form of hardware and / or software, and the evaluation device for cigar tobacco production capacity can be configured in an electronic device. The electronic device can be a server or a computer, etc. Figure 1 As shown, the method includes:

[0032] Step 110: Build a model based on the standardized production documents of cigar tobacco leaves and the evaluation index system to construct a cigar tobacco leaf production capacity evaluation system.

[0033] Cigar tobacco leaf standardized production documents may include documents that record relevant standards for cigar tobacco leaf production. Cigar tobacco leaf standardized production documents include, but are not limited to, cigar tobacco leaf standardized production documents and the latest technical documents related to cigar tobacco leaf production. The evaluation indicator system construction model may be a model capable of identifying cigar tobacco leaf production evaluation indicators and constructing an indicator hierarchy. The evaluation indicator system construction model may be a pre-trained neural network model or machine learning model. The cigar tobacco leaf production capability evaluation system may include a hierarchy of evaluation indicators corresponding to cigar tobacco leaf production capability. The cigar tobacco leaf production capability evaluation system may include a target layer, an indicator layer, and a criterion layer. The target layer represents cigar tobacco leaf production capability. The indicator layer is the element layer and includes multiple first-level evaluation indicators. The criterion layer, the next level below the indicator layer, includes multiple second-level evaluation indicators. First-level evaluation indicators may include, but are not limited to, resource support intensity, number of standards, and tobacco leaf product quality. Second-level evaluation indicators correspond to first-level evaluation indicators. The number and types of second-level evaluation indicators under each first-level evaluation indicator can be adjusted as needed and are not limited.

[0034] In an embodiment of the present invention, the standardized production files of cigar tobacco leaves can be obtained first, and then the data identification format of the evaluation index system model is constructed, and the standardized production files of cigar tobacco leaves are processed. Then, the model is constructed through the evaluation index system, and the standardized production files of cigar tobacco leaves that meet the data identification format of the evaluation index system model are identified to obtain evaluation indicators related to the cigar tobacco leaf production ability, and a hierarchical structure of the evaluation indicators is constructed to obtain a cigar tobacco leaf production ability evaluation system with the cigar tobacco leaf production ability as the target layer.

[0035] Step 120: Calculate the weights of the first-level evaluation indicators and the second-level evaluation indicators of the cigar tobacco leaf production capacity evaluation system based on the analytic hierarchy process.

[0036] The first-level evaluation index weights may be the weights of the elements in the index layer of the cigar tobacco leaf production capacity evaluation system, and the second-level evaluation index weights may be the weights of the elements in the criterion layer of the cigar tobacco leaf production capacity evaluation system.

[0037] In an embodiment of the present invention, after obtaining the cigar tobacco leaf production ability evaluation system, the weight of the first-level evaluation index in the cigar tobacco leaf production ability evaluation system relative to the target layer, that is, the first-level evaluation index weight, can be calculated based on the hierarchical analysis method, and the weight of the second-level evaluation index in the cigar tobacco leaf production ability evaluation system relative to the first-level evaluation index, that is, the second-level evaluation index weight, can be calculated.

[0038] Step 130: parse the cigar tobacco production database to obtain the index values ​​of the secondary evaluation indexes.

[0039] The cigar tobacco production database may be a database that records relevant production data of the current cigar tobacco producing areas.

[0040] In an embodiment of the present invention, based on image recognition technology and / or optical character recognition technology, the cigar tobacco production database can be analyzed according to the indicator layer elements in the cigar tobacco production capacity evaluation system to obtain the indicator values ​​of the secondary evaluation indicators.

[0041] Step 140: Determine the cigar tobacco leaf production capacity evaluation value and the indicators to be improved based on the first-level evaluation indicator weights, the second-level evaluation indicator weights, and the indicator values ​​of the second-level evaluation indicators.

[0042] The cigar tobacco production capacity evaluation value may be a numerical value describing the cigar tobacco production capacity of a current cigar tobacco producing region. The indicator to be improved may be a production indicator that needs to be improved in the current cigar tobacco producing region, i.e., at least one indicator in the criterion layer of the cigar tobacco production capacity evaluation system.

[0043] In an embodiment of the present invention, the product of the weight of the secondary evaluation indicator and the weight of the corresponding primary evaluation indicator can be used as the weight of the secondary evaluation indicator relative to the target layer. Furthermore, the weighted value of the secondary evaluation indicator relative to the target layer and the index value of the corresponding secondary evaluation indicator can be used as the cigar tobacco production capacity assessment value. Furthermore, the product of the weight of each secondary evaluation indicator relative to the target layer and the index value of the corresponding secondary evaluation indicator can be compared with a preset threshold. The secondary evaluation indicator corresponding to the product value less than the preset threshold is selected as an indicator for improvement. After each determination of the indicator for improvement and the cigar tobacco production capacity assessment value, these two key data items can be recorded in the cigar tobacco production database.

[0044] The technical solution of the embodiment of the present invention is to construct a model based on the standardized production documents of cigar tobacco leaves and the evaluation index system to construct a cigar tobacco leaf production capacity evaluation system, thereby calculating the first-level evaluation index weight and the second-level evaluation index weight of the cigar tobacco leaf production capacity evaluation system based on the hierarchical analysis method, and then parsing the cigar tobacco leaf production database to obtain the index value of the second-level evaluation index. Further, based on the first-level evaluation index weight, the second-level evaluation index weight and the index value of the second-level evaluation index, the cigar tobacco leaf production capacity evaluation value and the indicators to be improved are determined. This solution can automatically generate a cigar tobacco leaf production capacity evaluation value to help growers grasp the cigar tobacco leaf production situation from a macro perspective, and based on the indicators to be improved, carry out targeted fine-grained control of cigar tobacco leaf production, improve the standardization capacity of cigar tobacco leaf raw material production, thereby better improving the quality stability and uniformity of cigar tobacco leaf raw materials, solving the current problem of being unable to perform automated intelligent evaluation of cigar tobacco leaf production standardization capacity, and can perform automated intelligent evaluation of cigar tobacco leaf production standardization capacity, providing strong data support for scientific production in cigar tobacco leaf producing areas.

[0045] Example 2

[0046] Figure 2 The flowchart of a method for evaluating the production capacity of cigar tobacco leaves provided in the second embodiment of the present invention is a refinement of the above embodiment. In this embodiment, the model is constructed based on the standardized production documents of cigar tobacco leaves and the evaluation index system, and the cigar tobacco leaf production capacity evaluation system is refined. Specifically, it may include: determining preliminary evaluation indicators based on the standardized production documents of cigar tobacco leaves, and simplifying the preliminary evaluation indicators using the rough set method to obtain pre-processing evaluation indicators; inputting the pre-processing evaluation indicators into the evaluation index system construction model to obtain the first-level evaluation indicators and the second-level evaluation indicators; creating the cigar tobacco leaf production capacity evaluation system based on the first-level evaluation indicators and the second-level evaluation indicators. Figure 2 As shown, the method includes:

[0047] Step 210: Determine preliminary evaluation indicators based on the standardized production documents of cigar tobacco leaves, and simplify the preliminary evaluation indicators using a rough set method to obtain pre-processed evaluation indicators.

[0048] The preliminary evaluation index can be an evaluation index of cigar tobacco production capacity directly parsed from the standardized production documents of cigar tobacco leaves. The pre-processing evaluation index can be an evaluation index obtained by simplifying the preliminary evaluation index.

[0049] In an embodiment of the present invention, the standardized production file of cigar tobacco leaves can be parsed based on the file type of the standardized production file of cigar tobacco leaves to obtain preliminary evaluation indicators, and then the preliminary evaluation indicators can be simplified using the rough set method to obtain preprocessing evaluation indicators.

[0050] Step 220: Input the pre-processed evaluation indicators into the evaluation indicator system construction model to obtain the first-level evaluation indicators and the second-level evaluation indicators.

[0051] In an embodiment of the present invention, the preprocessing evaluation index is input into the evaluation index system construction model, and the evaluation index system construction model is used to construct a hierarchical structure of the preprocessing evaluation index to obtain the first-level evaluation index and the second-level evaluation index.

[0052] In an optional embodiment of the present invention, the first-level evaluation indicators of the cigar tobacco production capacity evaluation system may include resource support intensity, number of standards, degree of standard implementation and stability of tobacco product quality; the second-level evaluation indicators of the cigar tobacco production capacity evaluation system may include the number of standardization personnel, amount of capital investment, number of cigar tobacco production technical standards, number of cigar tobacco production management standards, number of cigar tobacco production job standards, number of standard promotion and training, number of standard implementation supervision and inspection, tobacco grade qualification rate and coefficient of variation of tobacco chemical composition.

[0053] Resource support intensity refers to the degree of resources provided to cigar tobacco production. Standard quantity refers to the number of standards followed in cigar tobacco production. Standard implementation refers to the degree to which cigar tobacco production adheres to standards. Tobacco product quality stability refers to the stability of the quality of finished cigar tobacco products.

[0054] In this embodiment of the present invention, the secondary evaluation indicators corresponding to resource support intensity are the number of standardization personnel and the amount of capital investment. The secondary evaluation indicators corresponding to the number of standards are the number of cigar tobacco production technology standards, the number of cigar tobacco production management standards, and the number of cigar tobacco production job standards. The secondary evaluation indicators corresponding to the degree of standard implementation are the number of standard promotion and implementation training sessions and the number of standard implementation supervision and inspections. The secondary evaluation indicators corresponding to tobacco product quality stability are the tobacco grade qualification rate and the coefficient of variation of tobacco chemical composition.

[0055] Cigar tobacco production technical standards cover various aspects of the process, including seedling cultivation, land preparation, transplanting, fertilization, field management, pest and disease control, harvesting, air-drying, and fermentation. Cigar tobacco production management standards encompass planting plan management, planting contract management, cigar tobacco production facility management, cigar tobacco production material management, tobacco farmer management, technical training, production technology assessment, and cigar tobacco product quality evaluation. Cigar tobacco production job standards cover management and technical positions in cigar tobacco production.

[0056] Step 230: Create a cigar tobacco leaf production capacity evaluation system based on the primary evaluation indicators and the secondary evaluation indicators.

[0057] In the embodiment of the present invention, a model is constructed by an evaluation index system, and the primary evaluation indexes and the secondary evaluation indexes are organized according to a hierarchical structure to obtain a cigar tobacco leaf production ability evaluation system.

[0058] Step 240: Calculate the weights of the first-level evaluation indicators and the second-level evaluation indicators of the cigar tobacco leaf production capacity evaluation system based on the analytic hierarchy process.

[0059] In an optional embodiment of the present invention, calculating the weights of the first-level evaluation indicators and the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system based on the hierarchical analysis method may include: constructing a first judgment matrix of the first-level evaluation indicators and a second judgment matrix of the second-level evaluation indicators according to the hierarchical analysis method, the importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and the importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system; when the first judgment matrix and the second judgment matrix pass the consistency test, calculating the weights of the first-level evaluation indicators according to the first judgment matrix, and calculating the weights of the second-level evaluation indicators according to the second judgment matrix.

[0060] The importance index can be used to describe the relative importance between two rating indicators at the same level. The importance index conforms to Satty's 1-9 scale. The first judgment matrix can be a matrix whose elements are the importance indexes of the first-level evaluation indicators. The second judgment matrix can be a matrix whose elements are the importance indexes of the second-level evaluation indicators.

[0061] In an embodiment of the present invention, an expert can provide an importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system and an importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and then combine the hierarchical analysis method to construct a first judgment matrix of the first-level evaluation indicators and a second judgment matrix of the second-level evaluation indicators, and then perform consistency judgment on the first judgment matrix and the second judgment matrix. When the first judgment matrix and the second judgment matrix pass the consistency test, the weight of the first-level evaluation indicator is calculated according to the first judgment matrix and the hierarchical analysis method, and the weight of the second-level evaluation indicator is calculated according to the second judgment matrix and the hierarchical analysis method.

[0062] In an optional embodiment of the present invention, after constructing a first judgment matrix of the first-level evaluation indicators and a second judgment matrix of the second-level evaluation indicators according to the hierarchical analysis method, the importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and the importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, the method may further include: when the consistency test fails, re-obtaining the importance index of the first-level evaluation indicators and the importance index of the second-level evaluation indicators, and adjusting the re-obtained importance index of the first-level evaluation indicators and / or the importance index of the second-level evaluation indicators; returning to execute the operation of calculating the first judgment matrix of the first-level evaluation indicators and the second judgment matrix of the second-level evaluation indicators according to the hierarchical analysis method, the importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and the importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, until the first judgment matrix and the second judgment matrix pass the consistency test.

[0063] Correspondingly, when the first judgment matrix and the second judgment matrix fail to pass the consistency test, the importance index of the first-level evaluation indicators and the importance index of the second-level evaluation indicators given by the experts can be obtained again, and the importance index of the first-level evaluation indicators and / or the importance index of the second-level evaluation indicators obtained can be adjusted according to the cigar tobacco production database, expert rules or artificial intelligence technology, and then the operation of calculating the first judgment matrix of the first-level evaluation indicators and the second judgment matrix of the second-level evaluation indicators according to the hierarchical analysis method and the importance index of the first-level evaluation indicators of the cigar tobacco production capacity evaluation system and the importance index of the second-level evaluation indicators of the cigar tobacco production capacity evaluation system is returned to execution until the first judgment matrix and the second judgment matrix pass the consistency test.

[0064] In an optional embodiment of the present invention, adjusting the importance index of the re-acquired first-level evaluation indicator and / or the importance index of the second-level evaluation indicator may include: determining the historical attention evaluation indicator based on the cigar tobacco production database; adjusting the importance index of the re-acquired first-level evaluation indicator and / or the importance index of the second-level evaluation indicator based on the historical attention evaluation indicator; and manually reviewing the readjusted importance index of the first-level evaluation indicator and / or the importance index of the second-level evaluation indicator.

[0065] Among them, the historical focus evaluation indicators can be historical indicators for improvement recorded in the cigar tobacco production database.

[0066] In an embodiment of the present invention, the cigar tobacco production database can be analyzed to obtain the historical attention evaluation index of the current cigar tobacco producing area, and then the historical attention evaluation index can be used as the evaluation index to be adjusted. According to the preset adjustment amplitude, the importance index of the newly obtained first-level evaluation index and / or the importance index of the second-level evaluation index can be adjusted, and the readjusted importance index of the first-level evaluation index and / or the importance index of the second-level evaluation index can be manually reviewed to ensure the reliability of the data adjustment.

[0067] Step 250: parse the cigar tobacco production database to obtain the index values ​​of the secondary evaluation indexes.

[0068] In an optional embodiment of the present invention, parsing the cigar tobacco production database to obtain the index value of the secondary evaluation index may include: using the secondary evaluation index as a target keyword; and searching the cigar tobacco production database according to the target keyword to obtain the index value of the secondary evaluation index.

[0069] The target keyword may be a keyword used when searching for data in a cigar tobacco production database.

[0070] In an embodiment of the present invention, the secondary evaluation index can be used as the target keyword, and a full-text search can be performed on the cigar tobacco production database according to the target keyword, and the numerical value corresponding to the secondary evaluation index obtained by the search can be used as the index value of the secondary evaluation index.

[0071] Step 260: Determine the cigar tobacco leaf production capacity evaluation value and the indicators to be improved based on the first-level evaluation indicator weights, the second-level evaluation indicator weights, and the indicator values ​​of the second-level evaluation indicators.

[0072] In a specific example, based on the analytic hierarchy process, the weights of the first-level evaluation indicators and the second-level evaluation indicators of the cigar tobacco leaf production capacity evaluation system are calculated as follows:

[0073] First, the importance index of the evaluation indicators (primary and secondary evaluation indicators) is determined, and judgment matrices (first and second judgment matrices) are constructed based on the importance index. The importance index is determined by expert scoring. The matrix is ​​constructed based on the relative importance of the primary evaluation indicators, or the relative importance of each pair of secondary evaluation indicators corresponding to the same primary evaluation indicator. Each element in the matrix represents the corresponding importance index (determined using the 1-9 scale proposed by Satty).

[0074] When determining the judgment matrix, to ensure the objectivity of the importance index of the evaluation indicators, the selection of scoring experts should take into account their professional background, work experience, and other factors. To ensure the reliability of the results, the minimum number of experts should be seven. When collecting data, the expert opinions can be averaged or consulted twice to obtain a consensus value, and fine-tuning can be performed.

[0075] Furthermore, based on the first judgment matrix, the weights of the first-level evaluation indicators relative to the first-level evaluation indicators of the target layer are calculated. Based on the second judgment matrix, the weights of the second-level evaluation indicators relative to the first-level evaluation indicators are calculated. That is, the product of the elements in each row of the judgment matrix is ​​used as the weight of the corresponding evaluation indicator. Assuming that the first-level evaluation indicator corresponding to the first row of the first judgment matrix is ​​resource support strength, the product of the elements in the first row of the first judgment matrix is ​​used as the indicator weight of resource support strength relative to the target layer.

[0076] After constructing the judgment matrix, a consistency check is performed on the judgment matrix. The maximum eigenvalue is calculated, and the random consistency index is obtained by looking up the table to further calculate the consistency index. When the random consistency index is less than 0.1, the judgment matrix is ​​determined to be acceptable through the consistency test.

[0077] Multiply the weight of the first-level evaluation indicator and the corresponding second-level evaluation indicator weight to synthesize the synthetic weight of the second-level evaluation indicator relative to the target layer, that is, multiply the second-level evaluation indicator weight of the second-level evaluation indicator relative to the first-level evaluation indicator with the first-level evaluation indicator weight of the first-level evaluation indicator relative to the target layer to synthesize the synthetic weight of the second-level evaluation indicator directly relative to the target layer.

[0078] Further calculation of the scoring values ​​for each evaluation indicator: The tobacco production information system stores a database of cigar tobacco producing areas. The maximum-minimum normalization method is then used to normalize the values ​​of the secondary evaluation indicators in the database. The values ​​for each secondary evaluation indicator are determined within the range of [0, 1]. The cigar tobacco production capacity assessment value is calculated based on the values ​​of each secondary evaluation indicator and the corresponding secondary evaluation indicator weights.

[0079] The technical solution of the embodiment of the present invention determines preliminary evaluation indicators based on standardized production documents of cigar tobacco leaves, and uses a rough set method to simplify the preliminary evaluation indicators to obtain preprocessing evaluation indicators, thereby inputting the preprocessing evaluation indicators into an evaluation indicator system construction model to obtain first-level evaluation indicators and second-level evaluation indicators. Then, based on the first-level evaluation indicators and the second-level evaluation indicators, a cigar tobacco leaf production capacity evaluation system is created. Further, based on the hierarchical analysis method, the first-level evaluation indicator weights and the second-level evaluation indicator weights of the cigar tobacco leaf production capacity evaluation system are calculated, and the cigar tobacco leaf production database is parsed to obtain the index value of the second-level evaluation indicator, so as to determine the cigar tobacco leaf production capacity evaluation value and the indicators to be improved based on the first-level evaluation indicator weights, the second-level evaluation indicator weights and the index value of the second-level evaluation indicator. This solution can automatically generate an evaluation value for cigar tobacco leaf production capacity to help growers grasp the cigar tobacco leaf production situation from a macro perspective, and based on the indicators to be improved, conduct targeted fine-grained control of cigar tobacco leaf production, improve the standardization capacity of cigar tobacco leaf raw material production, and thus better improve the quality stability and uniformity of cigar tobacco leaf raw materials. It solves the current problem of being unable to perform automated intelligent evaluation of cigar tobacco leaf production capacity, and can perform automated intelligent evaluation of cigar tobacco leaf production capacity, providing strong data support for scientific production in cigar tobacco leaf producing areas.

[0080] Example 3

[0081] Figure 3 This is a schematic diagram of a device for evaluating the production capacity of cigar tobacco leaves provided in Example 3 of the present invention. Figure 3 As shown, the device includes:

[0082] An evaluation system construction module 310 is used to construct a model based on the standardized production documents of cigar tobacco leaves and the evaluation index system to construct a cigar tobacco leaf production capacity evaluation system;

[0083] The indicator weight calculation module 320 is used to calculate the first-level evaluation indicator weights and the second-level evaluation indicator weights of the cigar tobacco leaf production capacity evaluation system based on the hierarchical analysis method;

[0084] An index value determination module 330 is used to parse the cigar tobacco production database to obtain the index value of the secondary evaluation index;

[0085] The production capacity evaluation module 340 is used to determine the cigar tobacco production capacity evaluation value and the indicators to be improved based on the first-level evaluation index weight, the second-level evaluation index weight and the index value of the second-level evaluation index.

[0086] The technical solution of the embodiment of the present invention is to construct a model based on the standardized production documents of cigar tobacco leaves and the evaluation index system to construct a cigar tobacco leaf production capacity evaluation system, thereby calculating the first-level evaluation index weight and the second-level evaluation index weight of the cigar tobacco leaf production capacity evaluation system based on the hierarchical analysis method, and then parsing the cigar tobacco leaf production database to obtain the index value of the second-level evaluation index. Further, based on the first-level evaluation index weight, the second-level evaluation index weight and the index value of the second-level evaluation index, the cigar tobacco leaf production capacity evaluation value and the indicators to be improved are determined. This solution can automatically generate a cigar tobacco leaf production capacity evaluation value to help growers grasp the cigar tobacco leaf production situation from a macro perspective, and based on the indicators to be improved, carry out targeted fine-grained control of cigar tobacco leaf production, improve the standardization capacity of cigar tobacco leaf raw material production, thereby better improving the quality stability and uniformity of cigar tobacco leaf raw materials, solving the current problem of being unable to perform automated intelligent evaluation of cigar tobacco leaf production standardization capacity, and can perform automated intelligent evaluation of cigar tobacco leaf production standardization capacity, providing strong data support for scientific production in cigar tobacco leaf producing areas.

[0087] Optionally, the first-level evaluation indicators of the cigar tobacco production capacity evaluation system include resource support intensity, number of standards, degree of standard implementation and stability of tobacco product quality; the second-level evaluation indicators of the cigar tobacco production capacity evaluation system include the number of standardization personnel, amount of capital investment, number of cigar tobacco production technical standards, number of cigar tobacco production management standards, number of cigar tobacco production job standards, number of standard promotion and training, number of standard implementation supervision and inspection, tobacco grade qualification rate and coefficient of variation of tobacco chemical composition.

[0088] Optionally, the evaluation system construction module 310 is specifically used to determine preliminary evaluation indicators based on the standardized production documents of cigar tobacco leaves, and simplify the preliminary evaluation indicators using a rough set method to obtain preprocessing evaluation indicators; input the preprocessing evaluation indicators into the evaluation indicator system construction model to obtain primary evaluation indicators and the secondary evaluation indicators; and create the cigar tobacco leaf production capacity evaluation system based on the primary evaluation indicators and the secondary evaluation indicators.

[0089] Optionally, the indicator weight calculation module 320 is specifically used to construct a first judgment matrix of the first-level evaluation indicators and a second judgment matrix of the second-level evaluation indicators based on the hierarchical analysis method, the importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and the importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system; when the first judgment matrix and the second judgment matrix pass the consistency test, the weight of the first-level evaluation indicators is calculated according to the first judgment matrix, and the weight of the second-level evaluation indicators is calculated according to the second judgment matrix.

[0090] Optionally, the cigar tobacco production capacity evaluation device further includes a data adjustment module, which is used to re-acquire the importance index of the first-level evaluation indicator and the importance index of the second-level evaluation indicator when the consistency test fails, and adjust the re-acquired importance index of the first-level evaluation indicator and / or the importance index of the second-level evaluation indicator; return to execute the operation of calculating the first judgment matrix of the first-level evaluation indicator and the second judgment matrix of the second-level evaluation indicator according to the hierarchical analysis method, the importance index of the first-level evaluation indicator of the cigar tobacco production capacity evaluation system, and the importance index of the second-level evaluation indicator of the cigar tobacco production capacity evaluation system, until the first judgment matrix and the second judgment matrix pass the consistency test.

[0091] Optionally, the data adjustment module is specifically used to determine the historical attention evaluation index based on the cigar tobacco production database; adjust and re-acquire the importance index of the first-level evaluation index and / or the importance index of the second-level evaluation index based on the historical attention evaluation index; and manually review the readjusted importance index of the first-level evaluation indicator and / or the importance index of the second-level evaluation indicator.

[0092] Optionally, the index value determination module 330 is specifically configured to use the secondary evaluation index as a target keyword; search the cigar tobacco production database according to the target keyword to obtain the index value of the secondary evaluation index.

[0093] The device for evaluating the productivity of cigar tobacco leaves provided in the embodiment of the present invention can execute the method for evaluating the productivity of cigar tobacco leaves provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0094] Example 4

[0095] Figure 4 A schematic diagram of an electronic device that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are provided for example only and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0096] like Figure 4 As shown, electronic device 10 includes at least one processor 11 and memory, such as ROM 12 and RAM 13, communicatively connected to at least one processor 11. The memory stores computer programs executable by the at least one processor, and processor 11 can perform various appropriate actions and processes based on the computer programs stored in ROM 12 or loaded from storage unit 18 into RAM 13. RAM 13 can also store various programs and data required for programming controller 10 operations. Processor 11, ROM 12, and RAM 13 are interconnected via bus 14. An I / O interface 15 is also connected to bus 14. ROM 12 is a read-only memory, RAM 13 is a random access memory, and I / O interface 15 is an input / output interface.

[0097] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0098] Processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. Processor 11 executes the various methods and processes described above, such as the method for evaluating the productivity of cigar tobacco leaves.

[0099] In some embodiments, the method for assessing cigar tobacco productivity can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for assessing cigar tobacco productivity described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to execute the method for assessing cigar tobacco productivity via any other suitable means (e.g., via firmware).

[0100] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0101] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0102] In the context of the present invention, computer-readable storage medium can be a tangible medium that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage medium can include but is not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage medium can be a machine-readable signal medium. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device or any suitable combination of the foregoing.

[0103] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0104] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0105] A computing system may include clients and servers. The clients and servers are generally remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS servers.

[0106] The present application also discloses a computer program product comprising a computer program that, when executed by a processor, implements the method for evaluating the productivity of cigar tobacco leaves provided in any of the embodiments of the present application. This program product shares the same inventive concept as the method for evaluating the productivity of cigar tobacco leaves disclosed in the various embodiments of the present application and is therefore not further described here.

[0107] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0108] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for evaluating cigar tobacco production capacity, characterized in that: include: Construct a model based on the standardized production documents and evaluation index system of cigar tobacco leaves and build a cigar tobacco production capacity evaluation system; Calculating the weights of the first-level evaluation indicators and the second-level evaluation indicators of the cigar tobacco leaf production capacity evaluation system based on the analytic hierarchy process; Parse the cigar tobacco production database to obtain the index values ​​of the secondary evaluation indicators; According to the first-level evaluation index weight, the second-level evaluation index weight and the index value of the second-level evaluation index, the cigar tobacco leaf production ability evaluation value and the index to be improved are determined.

2. The method according to claim 1, characterized in that The first-level evaluation indicators of the cigar tobacco production capacity evaluation system include resource support intensity, number of standards, degree of standard implementation and stability of tobacco product quality; the second-level evaluation indicators of the cigar tobacco production capacity evaluation system include the number of standardization personnel, amount of capital investment, number of cigar tobacco production technical standards, number of cigar tobacco production management standards, number of cigar tobacco production job standards, number of standard promotion and training, number of standard implementation supervision and inspection, tobacco grade qualification rate and coefficient of variation of tobacco chemical composition.

3. The method according to claim 1, characterized in that The model is constructed based on the standardized production documents of cigar tobacco leaves and the evaluation index system to construct a cigar tobacco leaf production capacity evaluation system, including: Determining preliminary evaluation indicators based on the standardized production documents of cigar tobacco leaves, and simplifying the preliminary evaluation indicators using a rough set method to obtain preprocessing evaluation indicators; Inputting the pre-processing evaluation index into the evaluation index system construction model to obtain the first-level evaluation index and the second-level evaluation index; The cigar tobacco leaf production ability evaluation system is created based on the first-level evaluation indicators and the second-level evaluation indicators.

4. The method according to claim 1, wherein The calculation of the primary evaluation index weights and the secondary evaluation index weights of the cigar tobacco leaf production capacity evaluation system based on the hierarchical analysis method includes: Constructing a first judgment matrix for the first-level evaluation indicators and a second judgment matrix for the second-level evaluation indicators based on the analytic hierarchy process, the importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and the importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system; When the first judgment matrix and the second judgment matrix pass the consistency test, the first-level evaluation index weights are calculated according to the first judgment matrix, and the second-level evaluation index weights are calculated according to the second judgment matrix.

5. The method according to claim 4, characterized in that After constructing the first judgment matrix of the first-level evaluation indicators and the second judgment matrix of the second-level evaluation indicators based on the analytic hierarchy process, the importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and the importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, the method further includes: When the consistency check fails, re-obtaining the importance index of the first-level evaluation indicator and the importance index of the second-level evaluation indicator, and adjusting the re-obtained importance index of the first-level evaluation indicator and / or the importance index of the second-level evaluation indicator; Returning to executing the operation of calculating a first judgment matrix of the first-level evaluation indicators and a second judgment matrix of the second-level evaluation indicators based on the analytic hierarchy process, the importance index of the first-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, and the importance index of the second-level evaluation indicators of the cigar tobacco leaf production ability evaluation system, until the first judgment matrix and the second judgment matrix pass the consistency test.

6. The method according to claim 5, characterized in that The adjusting and re-obtaining the importance index of the first-level evaluation indicator and / or the importance index of the second-level evaluation indicator includes: determining historical attention evaluation indicators based on the cigar tobacco production database; Adjusting and re-obtaining the importance index of the first-level evaluation indicator and / or the importance index of the second-level evaluation indicator according to the historical attention evaluation indicator; The readjusted importance index of the first-level evaluation indicators and / or the importance index of the second-level evaluation indicators are manually reviewed.

7. The method according to claim 1, characterized in that The cigar tobacco production database is parsed to obtain the index values ​​of the secondary evaluation indicators, including: Using the secondary evaluation indicators as target keywords; According to the target keywords, a search is performed in the cigar tobacco production database to obtain the index value of the secondary evaluation index.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, wherein the computer program is executed by the at least one processor so as to enable the at least one processor to perform the method for evaluating the productivity of cigar tobacco leaves according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for evaluating the productivity of cigar tobacco leaves according to any one of claims 1 to 7 when executed.

10. A computer program product comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method for evaluating the productivity of cigar tobacco leaves according to any one of claims 1 to 7.

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