Tobacco production data management method and system

Abstract

The invention discloses a tobacco production data management method and system, and the method comprises the steps: obtaining tobacco production related data which comprises tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco residual data; pre-processing the tobacco production related data respectively; analyzing the preprocessed tobacco production related data to obtain an analysis management result; and storing the analysis and management result in a database, and pushing the analysis and management result to a user in a chart form. The tobacco initial data, the tobacco equipment data, the tobacco category monitoring data and the tobacco residual data are processed respectively, the workload of workers is reduced, and the accuracy of subsequent analysis is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of tobacco data management, and in particular relates to a tobacco production data management method and system. Background Art

[0002] The tobacco industry is an important pillar industry of my country's national economy and has made great contributions to the development of my country's national economy. However, the tobacco industry generates a large amount of data during the production process. These tobacco production-related data not only involve tobacco production-related equipment, but also other aspects. The data is usually an important reference data for subsequent adjustment and management of the tobacco production process.

[0003] The existing method of managing tobacco generation data is usually to analyze and adjust according to the reported tobacco production data. This method involves insufficient dimensions and uses manual analysis and adjustment to manage, resulting in lower efficiency. For example: in Chinese patent CN101894319A, although a complete tobacco data quality management system is established, it focuses more on quality processing, cannot detect tobacco types, and cannot predict the consumption of tobacco equipment in the tobacco production management process; in addition, in Chinese patent CN112801246A, although the RFID tag established can query the tobacco production data, its production data does not clearly disclose how to manage tobacco production data. It only produces tobacco after the tobacco matures, and installs RFID tags on the finished tobacco products when the tobacco is completed.

[0004] Therefore, there is an urgent need for a tobacco production data management method and system. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a tobacco production data management method and system, which can avoid the problem of low efficiency caused by management in the form of manual analysis and adjustment.

[0006] The technical solution adopted by the present invention is:

[0007] A tobacco production data management method, characterized by comprising:

[0008] Acquiring tobacco production related data, the tobacco production related data including: tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco remaining data;

[0009] Preprocessing the tobacco production related data respectively;

[0010] Analyzing the pre-processed tobacco production-related data to obtain analysis and management results;

[0011] The analysis and management results are stored in a database and pushed to users in the form of charts.

[0012] Furthermore, the specific process of preprocessing the tobacco production related data includes:

[0013] Identify the tobacco categories and conduct real-time monitoring of different categories of tobacco;

[0014] Standardizing the tobacco equipment data to obtain standard equipment data, and obtaining tobacco equipment analysis and management results based on the standard equipment data;

[0015] Based on the initial tobacco data and the remaining tobacco data, different categories of tobacco consumption data are obtained, and based on the initial tobacco data and the standard equipment data of different categories of tobacco, consumption data in the production of different categories of tobacco are predicted.

[0016] Furthermore, the tobacco categories include: sun-cured tobacco, flue-cured tobacco, burley tobacco, oriental tobacco, cigar tobacco and yellow flower tobacco.

[0017] Furthermore, the tobacco equipment data is standardized, and the specific process of obtaining standard equipment data includes:

[0018] Collect tobacco equipment data, initialize the tobacco equipment data, and obtain standard equipment data, wherein the tobacco equipment data includes: temperature, humidity, pressure, flow and speed.

[0019] Furthermore, the specific process of initializing the tobacco device data includes:

[0020] Randomly combining the tobacco equipment data to obtain a plurality of sets, and using a support calculation formula to calculate the support corresponding to the sets;

[0021] The sets whose support is greater than a preset support value are removed, and the support of the remaining sets is calculated until the number of sets is one, thus completing the tobacco equipment data initialization.

[0022] Furthermore, the calculation formula of the support is:

[0023]

[0024] Among them, Support(Ai) is the support, P(Ai) is the probability that the five data are abnormal at the same time, X(Ai) is the number of times the five data are abnormal at the same time, and X(A1+A2+A3+A4+A5) is the sum of the number of five data.

[0025] Furthermore, based on the different types of initial tobacco data and standard equipment data, the specific process of predicting the consumption data in the production of different types of tobacco includes:

[0026] Obtaining initial tobacco data to be predicted;

[0027] The initial tobacco data to be predicted is input into a tobacco consumption model, and tobacco consumption data of a corresponding category is output, wherein the tobacco consumption model is trained by a training set, and the training set is tobacco consumption data of different categories and standard equipment data.

[0028] Furthermore, the tobacco consumption model is:

[0029] A=m+n 1 B 1 +n 2 B 2 +n 3 B 3 +n 4 B 4 (2)

[0030] Among them, A is the consumption, B is 1 is the initial tobacco data, B 2 is the ambient temperature, B 3 is the ambient humidity, B 4 is the initial tobacco equipment data, m, n 1 、n 2 、n 3 、n 4 Preset fixed parameters.

[0031] Furthermore, the specific process of analyzing the pre-processed tobacco production related data and obtaining the analysis management results includes:

[0032] Analyze the quality level of tobacco based on real-time monitoring of different types of tobacco;

[0033] According to the tobacco consumption data, it is determined whether the tobacco equipment needs maintenance. If the tobacco consumption data exceeds a threshold, the equipment is repaired. If the tobacco consumption data does not exceed the threshold, the tobacco equipment is not needed.

[0034] A tobacco production data management system, characterized by comprising:

[0035] A data collection module, used to collect tobacco production related data, wherein the tobacco production related data includes: tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco remaining data;

[0036] A data processing module, used for preprocessing the tobacco production related data;

[0037] Data analysis module, used to analyze the pre-processed data and obtain analysis and management results;

[0038] and a visualization module for visualizing the analysis and management results and sending them to users.

[0039] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0040] 1. The present invention not only obtains the data of different types of tobacco itself but also obtains the data of tobacco equipment, which enables the staff to analyze the tobacco data in the production process more comprehensively and improves the staff's analysis efficiency;

[0041] 2. The present invention processes tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco remaining data respectively, which not only reduces the workload of staff but also improves the accuracy of subsequent analysis;

[0042] 3. The present invention sends the analysis and management results to the user in the form of charts, allowing the user to monitor the relevant data of the tobacco production process in real time, thereby improving the data management efficiency;

[0043] 4. The tobacco production data management method and system of the present invention can help enterprises better understand the production process, improve production efficiency and product quality, and reduce costs. By collecting, storing, analyzing and utilizing data, enterprises can make more informed decisions and achieve sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 The present invention is a flowchart of a tobacco production data management method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0046] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0047] The present invention will be described in detail below in conjunction with exemplary embodiments with reference to the accompanying drawings.

[0048] Example 1

[0049] refer to Figure 1 A tobacco production data management method of the present invention specifically comprises the following steps:

[0050] Acquiring tobacco production related data, the tobacco production related data including: tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco remaining data;

[0051] Specifically, the tobacco remaining data is the remaining data after the tobacco initial data is processed. The tobacco processing procedure includes:

[0052] Silk processing: Silk processing is to crush, ferment, and roll the purchased tobacco raw materials into long filaments or loose tobacco sheets. This process requires highly mechanized equipment to achieve.

[0053] Expanded tobacco processing: Expanded tobacco processing is to open up the fiber structure of the tobacco, increase the volume, and make the tobacco looser. This process can be achieved by using steam or rollers.

[0054] Tobacco leaf drying: Tobacco leaf drying is to control the moisture content in tobacco within a certain range to ensure the quality of tobacco. Tobacco leaf drying can be done by natural airing or drying machine.

[0055] Additives: Additives are added to increase the flavor, aroma and taste of tobacco. The type and proportion of additives will affect the quality and flavor of tobacco products. Additives include sugar, spices, flavors, etc.

[0056] Cigarette production: Cigarette production is to wrap processed tobacco in paper to form a rolled tobacco product. Cigarette production can be done manually or with mechanized equipment, among which mechanized equipment can greatly increase output and production efficiency.

[0057] Preprocessing the tobacco production related data respectively;

[0058] Analyzing the pre-processed tobacco production-related data to obtain analysis and management results;

[0059] The analysis and management results are stored in a database and pushed to the user in the form of charts;

[0060] Specifically, the data in the database is pushed to the interface layer for interface presentation, the data management results are obtained, and the data management results are generated and exported as Excel documents and picture files.

[0061] Specifically, the specific process of preprocessing the tobacco production related data includes:

[0062] Identify the tobacco categories and conduct real-time monitoring of different categories of tobacco;

[0063] Standardizing the tobacco equipment data to obtain standard equipment data, and obtaining tobacco equipment analysis and management results based on the standard equipment data;

[0064] Based on the initial tobacco data and the remaining tobacco data, different categories of tobacco consumption data are obtained, and based on the initial tobacco data and the standard equipment data of different categories of tobacco, consumption data in the production of different categories of tobacco are predicted.

[0065] Specifically, the tobacco categories include: sun-cured tobacco, flue-cured tobacco, burley tobacco, oriental tobacco, cigar tobacco and yellow flower tobacco.

[0066] Specifically, the tobacco equipment data is standardized, and the specific process of obtaining standard equipment data includes:

[0067] Collect tobacco equipment data, initialize the tobacco equipment data, and obtain standard equipment data, wherein the tobacco equipment data includes: temperature, humidity, pressure, flow and speed.

[0068] Specifically, the tobacco equipment data is generated in the industrial production process, and many of the data generated in the industrial production process are defective. Therefore, it is necessary to initialize the temperature, humidity, pressure, flow and speed related to each production equipment, which can reduce tobacco consumption and improve work efficiency.

[0069] Specifically, the specific process of initializing the tobacco device data includes:

[0070] Randomly combining the tobacco equipment data to obtain a plurality of sets, and using a support calculation formula to calculate the support corresponding to the sets;

[0071] The sets whose support is greater than a preset support value are removed, and the support of the remaining sets is calculated until the number of sets is one, thus completing the tobacco equipment data initialization.

[0072] Specifically, the calculation formula of the support is:

[0073]

[0074] Among them, Support(Ai) is the support, P(Ai) is the probability that the five data are abnormal at the same time, X(Ai) is the number of times the five data are abnormal at the same time, and X(A1+A2+A3+A4+A5) is the sum of the number of five data.

[0075] Specifically, based on the different types of tobacco initial data and standard equipment data, the specific process of predicting the consumption data in the production of different types of tobacco includes:

[0076] Obtaining initial tobacco data to be predicted;

[0077] The initial tobacco data to be predicted is input into a tobacco consumption model, and tobacco consumption data of a corresponding category is output, wherein the tobacco consumption model is trained by a training set, and the training set is tobacco consumption data of different categories and standard equipment data.

[0078] Specifically, the tobacco factory will purchase different types of tobacco every day. The different types of tobacco consumption data include the daily purchase data and daily output of the cigarette factory and the daily average temperature and average relative humidity obtained from the Meteorological Bureau. Among them, the variable data in the different types of tobacco consumption data include independent variable data and dependent variable data. The independent variable data can be the purchase amount, temperature change, humidity change and initial tobacco equipment data. The dependent variable data can be energy consumption.

[0079] Specifically, the tobacco consumption model is:

[0080] A=m+n 1 B 1 +n 2 B 2 +n 3 B 3 +n 4 B 4 (2)

[0081] Among them, A is the consumption, B is 1 is the initial tobacco data, B 2 is the ambient temperature, B 3 is the ambient humidity, B 4 is the initial tobacco equipment data, m, n 1 、n 2 、n 3 、n 4 Preset fixed parameters.

[0082] Specifically, the specific process of analyzing the pre-processed tobacco production related data and obtaining the analysis management results includes:

[0083] Analyze the quality level of tobacco based on real-time monitoring of different types of tobacco;

[0084] Specifically, the quality grade of tobacco can be analyzed based on color, texture and purity to determine what grade of tobacco a certain batch of goods from a tobacco factory is suitable for. From the perspective of color: high-quality flue-cured tobacco is mostly dark yellow or orange in color, with bright and uniform color. Tobacco that is too light or too dark in color may be of poor quality. From the perspective of texture: high-quality flue-cured tobacco leaves have a loose structure, thick texture, and good elasticity. Tobacco that is too thin or too hard may not meet the high-quality standards. From the perspective of purity, high-quality flue-cured tobacco should be free of impurities, signs of disease and insect infection, and no human damage. Based on the color, texture and purity, staff can set relevant parameters on the machine, conduct a preliminary screening, and analyze the quality grade of this batch.

[0085] According to the tobacco consumption data, it is determined whether the tobacco equipment needs maintenance. If the tobacco consumption data exceeds a threshold, the equipment is repaired. If the tobacco consumption data does not exceed the threshold, the tobacco equipment is not needed.

[0086] Specifically, part of the tobacco consumption data is the consumption of the tobacco itself due to the ambient temperature and humidity, and part of it is the consumption caused by the aging of the equipment. Therefore, when judging whether the equipment needs maintenance, the initial tobacco data value is subtracted from the tobacco's own consumption. The resulting data is 5% wide, which is the threshold. If the remaining tobacco data does not reach the threshold, the equipment needs to be repaired or replaced. If it reaches the threshold, no maintenance is required.

[0087] Example 2

[0088] The present invention also provides a tobacco production data management system, comprising: a data acquisition module, a data processing module, a data analysis module and a visualization module;

[0089] The data collection module is used to collect tobacco production related data, wherein the tobacco production related data includes: tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco remaining data;

[0090] The data processing module is used to pre-process the tobacco production related data;

[0091] Specifically, the tobacco categories are identified, and different categories of tobacco are monitored in real time;

[0092] Standardizing the tobacco equipment data to obtain standard equipment data, and obtaining tobacco equipment analysis and management results based on the standard equipment data;

[0093] Based on the initial tobacco data and the remaining tobacco data, consumption data in the production of different types of tobacco is predicted.

[0094] The data analysis module is used to analyze the preprocessed data and obtain analysis management results;

[0095] The visualization module is used to visualize the analysis and management results and send them to the user.

[0096] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A tobacco production data management method, It is characterized in that include: Acquiring tobacco production related data, the tobacco production related data including: tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco remaining data; Preprocessing the tobacco production related data respectively; Analyzing the pre-processed tobacco production-related data to obtain analysis and management results; The analysis and management results are stored in a database and pushed to users in the form of charts.

2. A tobacco production data management method as claimed in claim 1, It is characterized in that The specific process of preprocessing the tobacco production related data includes: Identify the tobacco categories and conduct real-time monitoring of different categories of tobacco; Standardizing the tobacco equipment data to obtain standard equipment data, and obtaining tobacco equipment analysis and management results based on the standard equipment data; Based on the initial tobacco data and the remaining tobacco data, different categories of tobacco consumption data are obtained, and based on the initial tobacco data and the standard equipment data of different categories of tobacco, consumption data in the production of different categories of tobacco are predicted.

3. A tobacco production data management method as claimed in claim 2, It is characterized in that The tobacco categories include: sun-cured tobacco, flue-cured tobacco, burley tobacco, oriental tobacco, cigar tobacco and yellow flower tobacco.

4. A tobacco production data management method as claimed in claim 2, It is characterized in that The specific process of standardizing the tobacco equipment data and obtaining the standard equipment data includes: Collect tobacco equipment data, initialize the tobacco equipment data, and obtain standard equipment data, wherein the tobacco equipment data includes: temperature, humidity, pressure, flow and speed.

5. A tobacco production data management method as claimed in claim 4, It is characterized in that The specific process of initializing the tobacco device data includes: Randomly combining the tobacco equipment data to obtain a plurality of sets, and using a support calculation formula to calculate the support corresponding to the sets; The sets whose support is greater than a preset support value are removed, and the support of the remaining sets is calculated until the number of sets is one, thus completing the tobacco equipment data initialization.

6. A tobacco production data management method as claimed in claim 5, It is characterized in that The calculation formula of the support is: Among them, Support(Ai) is the support, P(Ai) is the probability that the five data are abnormal at the same time, X(Ai) is the number of times the five data are abnormal at the same time, and X(A1+A2+A3+A4+A5) is the sum of the number of five data.

7. A tobacco production data management method as claimed in claim 2, It is characterized in that Based on the different types of tobacco initial data and standard equipment data, the specific process of predicting the consumption data in the production of different types of tobacco includes: Obtaining initial tobacco data to be predicted; The initial tobacco data to be predicted is input into a tobacco consumption model, and tobacco consumption data of a corresponding category is output, wherein the tobacco consumption model is trained by a training set, and the training set is tobacco consumption data of different categories and standard equipment data.

8. A tobacco production data management method as claimed in claim 7, It is characterized in that The tobacco consumption model is: A=m+n 1 B 1 +n 2 B 2 +n 3 B 3 +n 4 B 4 (2) Among them, A is the consumption, B is 1 is the initial tobacco data, B 2 is the ambient temperature, B 3 is the ambient humidity, B 4 is the initial tobacco equipment data, m, n 1 、n 2 、n 3 、n 4 Preset fixed parameters.

9. A tobacco production data management method as claimed in claim 2, It is characterized in that The specific process of analyzing the pre-processed tobacco production related data and obtaining the analysis management results includes: Analyze the quality level of tobacco based on real-time monitoring of different types of tobacco; According to the tobacco consumption data, it is determined whether the tobacco equipment needs maintenance. If the tobacco consumption data exceeds a threshold, the equipment is repaired. If the tobacco consumption data does not exceed the threshold, the tobacco equipment is not needed.

10. A tobacco production data management system, It is characterized in that include: A data collection module, used to collect tobacco production related data, wherein the tobacco production related data includes: tobacco initial data, tobacco equipment data, tobacco category monitoring data and tobacco remaining data; A data processing module, used for preprocessing the tobacco production related data; Data analysis module, used to analyze the pre-processed data and obtain analysis and management results; and a visualization module for visualizing the analysis and management results and sending them to users.

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