Intelligent tobacco leaf baking platform
By designing an intelligent tobacco leaf baking platform containing multiple subsystems, the existing platform's shortcomings in link management and adaptability are solved, real-time monitoring and optimization of the status of tobacco leaf is achieved, and the quality of tobacco leaf products is improved. consistency.
Patent Information
- Application Number
- CN202411762653.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-02-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing intelligent tobacco leaf baking platform has insufficient comprehensive management capabilities in pretreatment, baking, cooling and other links, lacks the ability to optimize the entire process, and lacks the ability to adapt to different tobacco leaves, resulting in uneven processing of tobacco leaves in different links, affecting the final Product quality and consistency.
Design an intelligent tobacco leaf baking platform, including a subsystem for baking tobacco leaves, a subsystem for placement status, a subsystem for baking, a subsystem for baking, a subsystem for baking, a subsystem for baking status, and a subsystem for cooling status. Through these The interconnection of subsystems realizes real-time monitoring and optimization of the status of various links of tobacco leaves.
Through the implementation of this platform, it can be ensured that every link of the tobacco leaves to be baked meets the standards, improve the overall quality of tobacco products, reduce the generation of unqualified products, optimize the operation process, improve production efficiency, and realize personalized treatment of different tobacco leaf characteristics , improve the final flavor and quality of tobacco leaves.
Smart Images

Figure CN119423338A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of tobacco leaf baking regulation, and in particular to an intelligent tobacco leaf baking platform. Background Art
[0002] The baking process of fresh tobacco leaves is one of the important links in the tobacco industry. The quality of the baking process directly affects the taste, smell and quality of the finished tobacco leaves. Therefore, establishing an intelligent tobacco baking platform is crucial to ensure the stability of the baking process and the consistency of tobacco leaf quality. The existing supervision and control methods cannot achieve real-time monitoring of the entire stage and lack early warning functions. The research background of a fresh tobacco leaf baking supervision and early warning system may involve quality control and supervision needs in the tobacco leaf processing process. Such a system can help regulators and producers to promptly discover potential safety hazards or quality problems, and improve production efficiency and product quality.
[0003] For example, the invention patent with the publication number CN114115394A discloses a tobacco leaf intelligent baking control system and method, including: a baking room main body; an automatic control instrument; an image acquisition device: including a camera, a light source, a windshield and an acquisition support frame, used to collect tobacco leaf images under different baking conditions in the baking room; a wireless transmission module: used to transmit the collected tobacco leaf images in different baking conditions, as well as the baking process parameters of temperature, humidity and wind speed in the baking room main body under the automatic control instrument; a cloud server: used to store the collected baking process parameters of temperature, humidity and wind speed in different baking rooms; a model module: the server uploads the collected tobacco leaf images to the deep learning model to identify the tobacco leaf state. The present invention can realize intelligent discrimination of tobacco leaf quality before baking, accurate identification of tobacco leaf images and intelligent matching of processes during intensive baking, accurate monitoring of tobacco leaf changes during baking, and remote monitoring and management by the Internet of Things cloud platform, and finally realize intelligent tobacco leaf baking.
[0004] At present, there are still some deficiencies in the research on an intelligent tobacco baking platform. Specifically, a traditional intelligent tobacco baking platform may not have sufficient comprehensive management capabilities for pretreatment, baking, cooling and other links, lacks the ability to optimize the entire process, has insufficient integration capabilities, and is not adaptable to different tobacco leaves. The lack of full-process optimization capabilities will lead to uneven treatment of tobacco leaves in different links, thereby affecting the quality and consistency of the final product, which may cause the aroma, taste and other flavor characteristics of the tobacco leaves to fail to meet the standards. If the management and control capabilities of each link are insufficient, it may lead to increased energy consumption. Inadequately refined management will make the processing process of each link lengthy, reduce overall production efficiency, affect the production cycle, and then affect the efficiency of the supply chain. The lack of adaptability to different tobacco leaf varieties makes it impossible for the platform to perform personalized treatment according to different thickness, moisture content and other characteristics, which may cause some high-quality tobacco leaves to fail to achieve the best baking effect. Summary of the invention
[0005] In view of the deficiencies in the prior art, the present invention provides a tobacco leaf intelligent baking platform that can effectively solve the problems involved in the above-mentioned background technology.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a tobacco leaf intelligent baking platform, including a tobacco leaf qualification judgment subsystem, a placement state judgment subsystem, a baking scheme comparison subsystem, a baking state qualification judgment subsystem and a cooling state qualification judgment subsystem, wherein: the tobacco leaf qualification judgment subsystem analyzes the tobacco leaf to be baked to determine whether the tobacco leaf to be baked is qualified; the placement state judgment subsystem analyzes the placement state of qualified tobacco leaf to be baked to determine whether the placement state of the tobacco leaf to be baked is qualified; the baking scheme comparison subsystem analyzes the basic state of the tobacco leaf to be baked and obtains the baking scheme of the tobacco leaf to be baked by comparison; the baking state qualification judgment subsystem analyzes the baking state of the tobacco leaf to be baked with a qualified placement state based on the baking scheme of the tobacco leaf to be baked to determine whether the baking state of the tobacco leaf to be baked is qualified; the cooling state qualification judgment subsystem analyzes the cooling state of the tobacco leaf to be baked with a qualified baking state to determine whether the cooling state of the tobacco leaf to be baked is qualified.
[0007] As a further solution, whether the tobacco leaves to be cured are qualified is judged, and the specific analysis process includes: obtaining a data set of tobacco leaves to be cured state, obtaining a state characteristic value of the tobacco leaves to be cured based on a comprehensive analysis of the obtained data set of tobacco leaves to be cured state, and using the state characteristic value of the tobacco leaves to be cured as an analysis basis for judging whether the tobacco leaves to be cured are qualified; comparing the state characteristic value of the tobacco leaves to be cured with a reference state characteristic value of the tobacco leaves to be cured stored in a database; if the state characteristic value of the tobacco leaves to be cured is not lower than the reference state characteristic value of the tobacco leaves to be cured, then the tobacco leaves to be cured corresponding to the state characteristic value of the tobacco leaves to be cured are qualified; if the state characteristic value of the tobacco leaves to be cured is lower than the reference state characteristic value of the tobacco leaves to be cured, then the tobacco leaves to be cured corresponding to the state characteristic value of the tobacco leaves to be cured are unqualified, and the tobacco leaves to be cured corresponding to the state characteristic value of the tobacco leaves to be cured cannot be cured.
[0008] As a further solution, the state data set of tobacco leaves to be cured specifically includes the absolute value of the difference between the initial humidity of the tobacco leaves and the reference humidity, the absolute value of the difference between the initial thickness of the tobacco leaves and the reference initial thickness, and the number of initial incomplete tobacco leaves.
[0009] As a further solution, it is determined whether the placement state of the tobacco leaves to be cured is qualified, and the specific analysis process is: obtain a data set of the placement state of the tobacco leaves to be cured, the data set of the placement state of the tobacco leaves to be cured specifically includes the absolute value of the difference between the horizontal spacing of the tobacco leaves and the reference horizontal spacing, the absolute value of the difference between the vertical spacing of the tobacco leaves and the reference vertical spacing, and the absolute value of the difference between the height of the tobacco leaves and the reference height; based on the obtained data set of the placement state of the tobacco leaves to be cured, a comprehensive analysis is performed to obtain a basic placement state characteristic value, and the basic placement state characteristic value is used as an analysis basis for determining whether the placement state of the tobacco leaves to be cured is qualified; the basic placement state characteristic value is compared with the basic placement state reference characteristic value stored in the database; if the basic placement state characteristic value is not lower than the basic placement state reference characteristic value, then the placement state of the tobacco leaves to be cured corresponding to the basic placement state characteristic value is qualified; if the basic placement state characteristic value is lower than the basic placement state reference characteristic value, then the placement state of the tobacco leaves to be cured corresponding to the basic placement state characteristic value is unqualified, and the placement state of the tobacco leaves to be cured corresponding to the basic placement state characteristic value needs to be adjusted.
[0010] As a further solution, the basic state eigenvalue is placed, and the specific analysis process is:
[0011]
[0012] In the formula, γ is the characteristic value of the basic placement state, hx is the absolute value of the difference between the horizontal spacing of tobacco leaves and the reference horizontal spacing, zx is the absolute value of the difference between the longitudinal spacing of tobacco leaves and the reference longitudinal spacing, gd is the absolute value of the difference between the height of tobacco leaves and the reference height, μ1 is the compensation factor of the set hx, μ2 is the compensation factor of the set zx, μ3 is the compensation factor of the set gd, and e is a natural constant.
[0013] As a further solution, the baking plan of the tobacco leaves to be baked is obtained by comparison. The specific analysis process is: obtain the basic state data set of the tobacco leaves to be baked, and the basic state data set of the tobacco leaves to be baked specifically includes the average area of the tobacco leaves, the total number of tobacco leaves, and the average thickness of the tobacco leaves; store the average area of the tobacco leaves, the total number of tobacco leaves, and the average thickness of the tobacco leaves as designated labels, and compare the designated label with the baking plan of the tobacco leaves to be baked corresponding to each designated label stored in the database to obtain the baking plan of the tobacco leaves to be baked corresponding to the designated label.
[0014] As a further solution, it is determined whether the baking state of the tobacco leaves to be baked is qualified, and the specific analysis process is: obtain a baking state data set of the tobacco leaves to be baked, the baking state data set of the tobacco leaves to be baked specifically includes the number of fluctuations in the baking temperature of the tobacco leaves, the number of tobacco leaves deformed by baking, and the number of tobacco leaves broken by baking; based on the acquired baking state data set of the tobacco leaves to be baked, a baking state evaluation value is obtained by comprehensive analysis, and the baking state evaluation value is used as an analysis basis for determining whether the baking state of the tobacco leaves to be baked is qualified; compare the baking state evaluation value with the baking state reference evaluation value stored in the database; if the baking state evaluation value is not lower than the baking state evaluation value, the baking state of the tobacco leaves to be baked corresponding to the baking state evaluation value is qualified; if the baking state evaluation value is lower than the baking state evaluation value, the baking state of the tobacco leaves to be baked corresponding to the baking state evaluation value is unqualified, and the baking state of the tobacco leaves to be baked corresponding to the baking state evaluation value needs to be adjusted.
[0015] As a further solution, the baking status evaluation value, the specific analysis process is:
[0016]
[0017] Wherein, δ is the baking state evaluation value, bd is the number of fluctuations in tobacco leaf baking temperature, bx is the number of tobacco leaf baking deformations, sl is the number of tobacco leaf baking breakages, σ1 is the compensation factor of the set bd, σ2 is the compensation factor of the set bx, and σ3 is the compensation factor of the set sl.
[0018] As a further solution, it is determined whether the cooling state of the tobacco leaves to be cured is qualified, and the specific analysis process is: obtain a cooling state data set of the tobacco leaves to be cured, the cooling state data set of the tobacco leaves to be cured specifically includes the absolute value of the difference between the moisture content of the tobacco leaves after cooling and the reference moisture content, the number of fluctuations in the tobacco leaf cooling temperature, and the humidity in the tobacco leaf cooling area; based on the obtained cooling state data set of the tobacco leaves to be cured, a cooling state evaluation value is obtained by comprehensive analysis, and the cooling state evaluation value is used as an analysis basis for determining whether the cooling state of the tobacco leaves to be cured is qualified; compare the cooling state evaluation value with the cooling state reference evaluation value stored in the database; if the cooling state evaluation value is not lower than the cooling state reference evaluation value, the cooling state of the tobacco leaves to be cured corresponding to the cooling state evaluation value is qualified; if the cooling state evaluation value is lower than the cooling state reference evaluation value, the cooling state of the tobacco leaves to be cured corresponding to the cooling state evaluation value is unqualified, and the cooling state of the tobacco leaves to be cured corresponding to the cooling state evaluation value needs to be adjusted.
[0019] As a further solution, the cooling state evaluation value, the specific analysis process is:
[0020]
[0021] In the formula, is the cooling status evaluation value, hs is the absolute value of the difference between the moisture content of the tobacco leaves after cooling and the reference moisture content, hs1 is the moisture content of the tobacco leaves after cooling, hs2 is the reference moisture content of the tobacco leaves after cooling, lb is the number of fluctuations in the tobacco leaf cooling temperature, sd is the humidity in the tobacco leaf cooling area, τ1 is the compensation factor of the set hs, τ2 is the compensation factor of the set lb, τ3 is the compensation factor of the set sd, and e is a natural constant.
[0022] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:
[0023] (1) The present invention provides an intelligent tobacco baking platform to ensure that each link of the tobacco leaves to be baked meets the standards, which can greatly improve the overall quality of tobacco products and reduce the production of unqualified products. The mutual linkage between the various subsystems can help enterprises to achieve effective management and coordination of various links in the production process, thereby optimizing the operating procedures and improving production efficiency. Based on the comparison between the basic state of the tobacco leaves to be baked and the baking plan, personalized processing of different tobacco leaf characteristics can be achieved, thereby improving the final flavor and quality of the tobacco leaves. The system can analyze and judge the eligibility of each state in real time, so that possible problems can be tracked and corrected in time during the production process, thereby improving the response speed of production.
[0024] (2) The present invention analyzes the basic state of the tobacco leaves to be cured and obtains the curing plan for the tobacco leaves to be cured by comparison. By analyzing the basic state of the tobacco leaves, a targeted curing plan can be formulated to achieve a more accurate curing effect, thereby improving the overall quality and flavor of the tobacco leaves and optimizing the curing plan. The curing time and steps can be shortened, the efficiency of the entire production process can be improved, the production cycle can be reduced, and resource utilization can be improved. An accurate curing plan can avoid over-baking or under-baking. The system can realize intelligent decision-making, reduce human intervention, reduce the probability of operational errors, and improve the stability of the production process.
[0025] (3) The present invention determines whether the cooling state of the tobacco leaves to be cured is qualified by analyzing the cooling state of the tobacco leaves to be cured that are in a qualified baking state. A reasonable cooling process can prevent the quality of the tobacco leaves after baking from deteriorating due to high temperature or humidity changes, maintain the aroma and taste of the tobacco leaves, and help ensure the high quality of the final product. Monitoring of the cooling state can promptly detect problems, such as excessive temperature or excessive humidity, to prevent the tobacco leaves from deteriorating during the cooling process, thereby reducing losses and waste. Through automated cooling state monitoring, the frequency of manual operations is reduced, the possibility of human errors is reduced, and the reliability of the overall production process is improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.
[0027] Figure 1 It is a schematic diagram of the connection of the platform subsystem of the present invention.
[0028] Figure 2 A flow chart of the steps for judging whether the tobacco leaves to be cured are qualified.
[0029] Figure 3 It is a three-dimensional image of the state characteristic values of the tobacco leaves to be cured changing with the initial number of incomplete tobacco leaves and the set compensation factor of the initial number of incomplete tobacco leaves.
[0030] Figure 4 This is an image of the state characteristic values of the tobacco leaves to be cured changing with the number of initial incomplete leaves. DETAILED DESCRIPTION
[0031] 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 described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0032] See also Figure 1 The embodiment of the present invention provides a technical solution for intelligent tobacco baking: a tobacco intelligent baking platform, including a tobacco leaf qualification judgment subsystem for baking, a placement status judgment subsystem, a baking scheme comparison subsystem, a baking status qualification judgment subsystem and a cooling status qualification judgment subsystem.
[0033] The tobacco leaves to be cured are qualified and judged by the subsystem, which analyzes the tobacco leaves to be cured and judges whether they are qualified or not.
[0034] like Figure 2As shown, the specific analysis process includes: obtaining a data set of tobacco leaves to be cured state, obtaining a state characteristic value of tobacco leaves to be cured based on a comprehensive analysis of the obtained data set of tobacco leaves to be cured state, and using the state characteristic value of tobacco leaves to be cured as an analysis basis for judging whether the tobacco leaves to be cured are qualified; comparing the state characteristic value of tobacco leaves to be cured with a reference state characteristic value of tobacco leaves to be cured stored in a database; if the state characteristic value of tobacco leaves to be cured is not lower than the reference state characteristic value of tobacco leaves to be cured, then the tobacco leaves to be cured corresponding to the state characteristic value of tobacco leaves to be cured are qualified; if the state characteristic value of tobacco leaves to be cured is lower than the reference state characteristic value of tobacco leaves to be cured, then the tobacco leaves to be cured corresponding to the state characteristic value of tobacco leaves to be cured are unqualified, and the tobacco leaves to be cured corresponding to the state characteristic value of tobacco leaves to be cured cannot be cured.
[0035] It should be noted that the above analysis of the state characteristic values of the tobacco leaves to be baked can timely identify unqualified tobacco leaves, thereby avoiding baking of inferior tobacco leaves and ensuring the quality of the final product. If unqualified tobacco leaves enter the baking stage, it may lead to losses and waste in the baking process. Screening and excluding unqualified tobacco leaves in advance can effectively control costs. During the baking process, only qualified tobacco leaves are processed, which can improve production efficiency, reduce the defective rate, and thus optimize the production process.
[0036] Furthermore, the data set of the state of tobacco leaves to be cured specifically includes the absolute value of the difference between the initial humidity of the tobacco leaves and the reference humidity, which is the absolute value of the difference between the initial humidity of the tobacco leaves to be cured and the preset reference humidity. Humidity is an important factor affecting the baking quality of tobacco leaves. Too high or too low humidity may lead to uneven baking, affecting the taste and aroma of tobacco. A hygrometer or moisture meter is used for measurement. The absolute value of the difference between the initial thickness of the tobacco leaves and the reference initial thickness is the absolute value of the difference between the actual thickness of the tobacco leaves to be cured and the standard or reference thickness. The thickness can affect the baking speed and quality of the tobacco leaves. Too thin thickness may lead to too fast baking, while too thick thickness may lead to uneven baking. Tools such as thickness gauges are used to measure the thickness of the tobacco leaves. The initial number of incomplete tobacco leaves refers to the number of complete tobacco leaves in the tobacco leaves to be cured due to quality problems (such as missing leaves, damage, etc.), which reflects the overall integrity of the tobacco leaves and affects the commodity value and processing effect. The number of incomplete tobacco leaves is counted through manual inspection or image recognition technology (such as camera combined with computer vision technology).
[0037] It should be noted that the humidity of the above-mentioned tobacco leaves is often related to their thickness. Tobacco leaves with higher humidity may be thicker because water molecules occupy space in the gaps between the leaves, which will also make the leaves appear fatter. Initial humidity that is too high or too low may cause damage to the tobacco leaves during storage or baking, thereby affecting their integrity. Tobacco leaves with improper humidity may become brittle or dry, resulting in a higher number of initial incomplete leaves.
[0038] It should be noted that the specific analysis process of the above characteristic values of the state of the tobacco leaves to be cured is as follows:
[0039]
[0040] Wherein, θ is the characteristic value of the state of tobacco leaves to be cured, sd is the absolute value of the difference between the initial humidity of tobacco leaves and the reference humidity, hd is the absolute value of the difference between the initial thickness of tobacco leaves and the reference initial thickness, n is the number of initial incomplete tobacco leaves, ε1 is the compensation factor of the set sd, ε2 is the compensation factor of the set hd, and ε3 is the compensation factor of the set n.
[0041] It should be explained that the above-mentioned characteristic values of the state of tobacco leaves to be baked are calculated through the absolute value of the difference between the initial humidity of the tobacco leaves and the reference humidity, the absolute value of the difference between the initial thickness of the tobacco leaves and the reference initial thickness, and the number of initial incomplete tobacco leaves. SD, HD, and N are normalized and various characteristic values are calculated. The overall quality of the tobacco leaves can be evaluated more accurately, and production management personnel can be helped to identify the links that need improvement. The characteristic values provide practical quantitative data, which is helpful to scientifically judge whether the tobacco leaves meet the processing standards. According to the analysis of the initial humidity and thickness, the parameter settings can be optimized before the baking process begins, so as to achieve better baking effects and reduce the production of defective products. By quickly evaluating the initial state of the tobacco leaves, the decision-making time can be shortened, and the operating efficiency of the entire production line can be improved. Optimizing the initial state can reduce the risk of tobacco leaves deteriorating during subsequent storage and processing, and maintain product quality.
[0042] like Figure 3 , Figure 4 As shown, it is an image of the change of the state characteristic value of the tobacco leaves to be cured with the initial incomplete number of tobacco leaves, wherein the x-axis represents the initial incomplete number of tobacco leaves, and the y-axis represents the state characteristic value of the tobacco leaves to be cured, which can help intuitively understand how the initial incomplete number of tobacco leaves affects the state characteristic value of the tobacco leaves to be cured. The larger the initial incomplete number of tobacco leaves, the smaller the state characteristic value of the tobacco leaves to be cured. As the initial incomplete number of tobacco leaves increases, the influence of the initial incomplete number of tobacco leaves on the state characteristic value of the tobacco leaves to be cured gradually weakens. The absolute value of the difference between the initial humidity of the tobacco leaves and the reference humidity is set to 10, the absolute value of the difference between the initial thickness of the tobacco leaves and the reference initial thickness is set to 1, the compensation factor of the absolute value of the difference between the initial humidity of the tobacco leaves and the reference humidity is set to 0.3, the compensation factor of the absolute value of the difference between the initial thickness of the tobacco leaves and the reference initial thickness is set to 0.3, and the compensation factor of the initial incomplete number of tobacco leaves is set to 0.4. Only the size of the initial incomplete number of tobacco leaves is changed. The example values of the initial incomplete number of tobacco leaves are as follows:
[0043] Table 1: Example values of the initial incomplete number of tobacco leaves in the characteristic value of the state of tobacco leaves to be cured
[0044] sd(%) hd(mm) n(number) <![CDATA[ε1]]> <![CDATA[ε2]]> <![CDATA[ε3]]> θ 10 1 10 0.3 0.3 0.4 -2.910 10 1 20 0.3 0.3 0.4 -2.950 10 1 30 0.3 0.3 0.4 -2.965
[0045] It should be explained that the compensation factors of SD, HD, and N set above are obtained from the database. According to historical data, a mapping set of the absolute value of the difference between the historically measured initial humidity of tobacco leaves and the reference humidity, the absolute value of the difference between the initial thickness of tobacco leaves and the reference initial thickness, the initial number of incomplete tobacco leaves, and the compensation factors of SD, HD, and N are established to obtain the compensation factors of SD, HD, and N corresponding to the current SD, HD, and N.
[0046] It should be noted that μ1, μ2, μ3, σ1, σ2, σ3, τ1, τ2, and τ3 mentioned below are also obtained through a mapping set of historical data and compensation factors established in a database, that is, the corresponding compensation factors are obtained based on the current data.
[0047] The placement status judgment subsystem analyzes the placement status of qualified tobacco leaves to be cured and judges whether the placement status of the tobacco leaves to be cured is qualified.
[0048] The specific analysis process is as follows: obtaining a data set of placement status of tobacco leaves to be cured, the data set of placement status of tobacco leaves to be cured specifically includes the absolute value of the difference between the horizontal spacing of tobacco leaves and the reference horizontal spacing, the absolute value of the difference between the vertical spacing of tobacco leaves and the reference vertical spacing, and the absolute value of the difference between the height of tobacco leaves and the reference height; based on the obtained data set of placement status of tobacco leaves to be cured, a comprehensive analysis is performed to obtain a basic placement status characteristic value, and the basic placement status characteristic value is used as an analysis basis for judging whether the placement status of tobacco leaves to be cured is qualified; comparing the basic placement status characteristic value with the basic placement status reference characteristic value stored in the database; if the basic placement status characteristic value is not lower than the basic placement status reference characteristic value, then the placement status of tobacco leaves to be cured corresponding to the basic placement status characteristic value is qualified; if the basic placement status characteristic value is lower than the basic placement status reference characteristic value, then the placement status of tobacco leaves to be cured corresponding to the basic placement status characteristic value is unqualified, and the placement status of tobacco leaves to be cured corresponding to the basic placement status characteristic value needs to be adjusted.
[0049] It should be noted that the absolute value of the difference between the above-mentioned lateral spacing of tobacco leaves and the reference lateral spacing refers to the absolute difference between the actual lateral spacing of tobacco leaves to be cured (i.e. the lateral distance between adjacent tobacco leaves) and the preset standard lateral spacing, which is used to measure whether the spacing of tobacco leaves when placed horizontally meets the requirements. A laser rangefinder or image recognition technology is used for automated detection. The absolute value of the difference between the longitudinal spacing of tobacco leaves and the reference longitudinal spacing refers to the absolute difference between the actual longitudinal spacing of tobacco leaves to be cured (i.e. the longitudinal distance between adjacent tobacco leaves) and the reference standard spacing. It is used to evaluate the longitudinal spacing of tobacco leaves. A laser rangefinder or image recognition technology is used for automated detection. The absolute value of the difference between the tobacco leaf placement height and the reference placement height refers to the absolute difference between the actual placement height of tobacco leaves to be cured (i.e. the height of the top of the tobacco leaves from the baking platform) and the standard placement height. It is used to evaluate whether the height of the tobacco leaves meets the set standards. Tools such as altimeters and laser rangefinders are used to measure the placement height of tobacco leaves.
[0050] It should be noted that the above-mentioned transverse spacing and longitudinal spacing are two key parameters that affect the heat conduction and airflow smoothness of tobacco leaves during the baking process. Changes in the longitudinal spacing may affect the ventilation of the entire tobacco leaf pile, while the transverse spacing may affect the heat exchange efficiency between tobacco leaves. The two need to maintain a reasonable proportion to ensure that the tobacco leaves can be evenly heated. There is a certain mutual influence relationship between the placement height and the transverse and longitudinal spacing. Too large a height will lead to uneven heating of the top tobacco leaves, while too small a height may cause poor stacking, affecting the overall heat exchange. The appropriate placement height generally requires adjustment of the spacing to ensure that all parts of the tobacco leaves can be evenly heated during the baking process.
[0051] It should be noted that the placement state of the above-mentioned tobacco leaves (including horizontal spacing, vertical spacing and height) directly affects the heat distribution of the tobacco leaves during the baking process. Maintaining appropriate placement spacing and height can ensure that each tobacco leaf receives uniform heat, avoiding the situation where some tobacco leaves are over-baked while some tobacco leaves are not baked properly. Appropriate placement can avoid waste caused by tobacco leaves being stacked too densely or too sparsely, optimize the production process, reduce unnecessary downtime, and thus improve overall production efficiency. Ensuring the qualified placement state can reduce tobacco leaf loss caused by improper placement, thereby reducing the scrap rate and increasing the qualified product rate, which is crucial to the overall economic benefits.
[0052] Furthermore, the basic state characteristic values are placed, and the specific analysis process is as follows:
[0053]
[0054] In the formula, γ is the characteristic value of the basic placement state, hx is the absolute value of the difference between the horizontal spacing of tobacco leaves and the reference horizontal spacing, zx is the absolute value of the difference between the longitudinal spacing of tobacco leaves and the reference longitudinal spacing, gd is the absolute value of the difference between the height of tobacco leaves and the reference height, μ1 is the compensation factor of the set hx, μ2 is the compensation factor of the set zx, μ3 is the compensation factor of the set gd, and e is a natural constant.
[0055] It needs to be explained that the above-mentioned characteristic values of the basic placement state are calculated through the absolute value of the difference between the horizontal spacing of tobacco leaves and the reference horizontal spacing, the absolute value of the difference between the vertical spacing of tobacco leaves and the reference vertical spacing, and the absolute value of the difference between the height of tobacco leaves and the reference height. Hx, zx, and gd are normalized to evaluate the placement spacing and height, which can reasonably arrange the storage layout of tobacco leaves, improve space utilization, and avoid wasting resources. Reasonable spacing and height ensure air circulation between tobacco leaves, promote uniform drying process, reduce moisture accumulation, reduce the risk of mildew, and ensure that each batch of tobacco leaves is exposed to the same environmental conditions during the process, which helps to improve the uniformity and consistency of processing and avoid local over-drying or over-humidification. Standardized placement methods can reduce losses caused by improper operation, thereby reducing the probability of equipment failure and processing errors. Through reasonable placement design, the baking and drying speed of tobacco leaves can be accelerated, production efficiency can be improved, and the processing cycle can be shortened. Based on the calculation of characteristic values, it can provide a scientific quantitative basis for quality control and help to discover and solve problems in a timely manner.
[0056] The baking plan comparison subsystem analyzes the basic status of the tobacco leaves to be baked and obtains the baking plan for the tobacco leaves to be baked by comparison.
[0057] The specific analysis process is: obtain the basic status data set of tobacco leaves to be cured, which specifically includes the average area of tobacco leaves, the total number of tobacco leaves, and the average thickness of tobacco leaves; store the average area of tobacco leaves, the total number of tobacco leaves, and the average thickness of tobacco leaves as designated labels, and compare the designated labels with the curing plans of tobacco leaves to be cured corresponding to the designated labels stored in the database to obtain the curing plan of tobacco leaves to be cured corresponding to the designated labels.
[0058] It should be noted that, based on the average area and total number of tobacco leaves, a baking plan that matches their characteristics can be formulated in a targeted manner. Tobacco leaves with a larger area may require a longer baking time and adjusted temperature to ensure uniform baking. Personalized adjustments can improve the baking effect. Matching the basic status data of tobacco leaves with existing baking plans can reduce trial and error time and quickly find the optimal baking conditions, thereby improving work efficiency and reducing unnecessary waste of resources. By comparing designated labels, problems that may arise during the baking process can be better monitored, and plans can be adjusted in a timely manner, thereby reducing the risk of baking failures. Combined with big data analysis technology, the baking data of different types of tobacco leaves can be gradually accumulated and analyzed to establish a database, which can help production line managers make more scientific baking decisions based on historical data and achieve true data-driven management.
[0059] The baking state qualified judgment subsystem analyzes the baking state of the tobacco leaves to be baked that are placed in a qualified state based on the baking plan of the tobacco leaves to be baked, and judges whether the baking state of the tobacco leaves to be baked is qualified.
[0060] The specific analysis process is as follows: obtaining a baking status data set of tobacco leaves to be baked, the baking status data set of tobacco leaves to be baked specifically includes the number of fluctuations in tobacco leaf baking temperature, the number of tobacco leaf baking deformations, and the number of tobacco leaf baking breakages; based on the obtained baking status data set of tobacco leaves to be baked, a baking status evaluation value is obtained through comprehensive analysis, and the baking status evaluation value is used as an analysis basis for judging whether the baking status of the tobacco leaves to be baked is qualified; comparing the baking status evaluation value with the baking status reference evaluation value stored in the database; if the baking status evaluation value is not lower than the baking status evaluation value, the baking status of the tobacco leaves to be baked corresponding to the baking status evaluation value is qualified; if the baking status evaluation value is lower than the baking status evaluation value, the baking status of the tobacco leaves to be baked corresponding to the baking status evaluation value is unqualified, and the baking status of the tobacco leaves to be baked corresponding to the baking status evaluation value needs to be adjusted.
[0061] It should be noted that the above-mentioned number of temperature fluctuations in tobacco leaf baking refers to the number of temperature fluctuations experienced by the tobacco leaves during the baking process. During the baking process, if the temperature control of the heating equipment is unstable, the baking temperature may rise and fall multiple times. This fluctuation will affect the baking effect of the tobacco leaves. Real-time monitoring is carried out through the temperature sensor (such as thermocouple or infrared thermometer) on the baking equipment, and the temperature changes are recorded by combining the data recorder to analyze the number of temperature fluctuations. The number of tobacco leaf baking deformations refers to the number of deformed tobacco leaves that appear during the baking process. The deformation may be caused by excessive temperature, too fast or uneven baking speed, resulting in abnormal bending or other shape changes in the tobacco leaves. It can be monitored by a visual inspection system (such as an industrial camera combined with image processing software), and laser scanning equipment can also be used for measurement to identify and count deformed tobacco leaves. The number of tobacco leaf baking breakages refers to the number of broken tobacco leaves that appear during the baking process. Breakage is usually caused by the tobacco leaves being too brittle under high temperature for a long time, resulting in cracks or damage. The integrity of the tobacco leaves can be analyzed by a visual inspection system using image processing technology, or the number of broken leaves can be determined by monitoring the breaking sound through an acoustic sensor.
[0062] It should be noted that the frequent fluctuations in baking temperature mean that there are frequent temperature changes during the baking process, which may cause the tobacco leaves to frequently cycle between high and low temperatures, thereby increasing the risk of deformation. Under high temperatures, tobacco leaf tissues may be affected by thermal stress, resulting in shape changes. If the temperature fluctuations are frequent and large, the moisture in the tobacco leaves may evaporate unevenly, resulting in premature drying of the surface and failure to completely release the internal moisture, thereby forming stress and increasing the possibility of tobacco leaf breakage. If the baking conditions of the deformed tobacco leaves during the baking process are not adjusted in time, the brittleness of the texture may be further increased, resulting in breakage in subsequent processing or packaging. Deformed tobacco leaves may often be accompanied by a certain number of breakages.
[0063] It should be noted that the above-mentioned judgment of the baking status evaluation value can reduce defects in the baking process, such as deformation and breakage, thereby improving the overall quality of tobacco leaves and ensuring that the tobacco leaves meet market standards. Adjusting the baking status can make the baking effect of each batch of products more consistent, improve product stability and repeatability, and reduce quality differences caused by fluctuations in baking conditions. Timely adjustment of unqualified baking status can reduce losses caused by improper baking, such as the discarding of deformed or broken tobacco leaves, which not only saves raw materials, but also reduces overall production costs. Accurate judgment and timely adjustment of the baking status can avoid rework and repeated operations in the next processing process and improve the work efficiency of the production line.
[0064] Furthermore, the baking status evaluation value, the specific analysis process is as follows:
[0065]
[0066] Wherein, δ is the baking state evaluation value, bd is the number of fluctuations in tobacco leaf baking temperature, bx is the number of tobacco leaf baking deformations, sl is the number of tobacco leaf baking breakages, σ1 is the compensation factor of the set bd, σ2 is the compensation factor of the set bx, and σ3 is the compensation factor of the set sl.
[0067] It should be explained that the above-mentioned baking state evaluation value is calculated by the number of temperature fluctuations in tobacco leaves baking, the number of tobacco leaves deformed during baking, and the number of tobacco leaves broken during baking. BD, BX, and SL are normalized. The baking state evaluation value can help monitor the consistency of tobacco leaves during the baking process to ensure that the quality and flavor of each batch of tobacco leaves are maintained within the standard range. The evaluation of the number of deformations and breakages can timely discover potential problems in the baking process, such as excessive or uneven temperature, and accelerate the adjustment of the process. Monitoring the number of temperature fluctuations can adjust the temperature control program of the baking equipment, improve the consistency and efficiency of baking, reduce energy waste, and control the number of deformations and breakages during the baking process, thereby reducing waste caused by product damage and reducing production costs. The baking state is presented in a quantitative manner, which makes management decisions more based on facts and reduces errors caused by subjective judgment.
[0068] The cooling state qualified judgment subsystem analyzes the cooling state of the tobacco leaves to be cured that have qualified baking state, and judges whether the cooling state of the tobacco leaves to be cured is qualified.
[0069] The specific analysis process is: obtain the cooling status data set of the tobacco leaves to be cured, which specifically includes the absolute value of the difference between the moisture content of the tobacco leaves after cooling and the reference moisture content, the number of fluctuations in the tobacco leaf cooling temperature, and the humidity in the tobacco leaf cooling area; based on the obtained cooling status data set of the tobacco leaves to be cured, a cooling status evaluation value is obtained through comprehensive analysis, and the cooling status evaluation value is used as an analysis basis for judging whether the cooling status of the tobacco leaves to be cured is qualified; compare the cooling status evaluation value with the cooling status reference evaluation value stored in the database; if the cooling status evaluation value is not lower than the cooling status reference evaluation value, the cooling status of the tobacco leaves to be cured corresponding to the cooling status evaluation value is qualified; if the cooling status evaluation value is lower than the cooling status reference evaluation value, the cooling status of the tobacco leaves to be cured corresponding to the cooling status evaluation value is unqualified, and the cooling status of the tobacco leaves to be cured corresponding to the cooling status evaluation value needs to be adjusted.
[0070] It should be noted that the absolute value of the difference between the moisture content of the above-mentioned tobacco leaves after cooling and the reference moisture content refers to the absolute difference between the moisture content actually measured after cooling of the tobacco leaves to be cured and the preset / standard (reference) moisture content. A smaller difference means that the moisture content of the tobacco leaves is closer to the ideal level, which may affect its subsequent quality and storage stability. A moisture meter (such as a resistance type, moisture meter or near-infrared moisture meter) is used to measure the moisture content of the tobacco leaves. The number of temperature fluctuations in tobacco leaf cooling refers to the total number of temperature fluctuations (i.e., temperature rise and fall) experienced during the cooling process of the tobacco leaves. Frequent temperature fluctuations may affect the cooling effect and thus affect the quality of the tobacco leaves. A temperature sensor (such as a thermocouple or an infrared thermometer) is used to monitor the temperature changes of the tobacco leaves during the cooling process in real time. A data recorder can be used to record the number of fluctuations. The humidity in the tobacco leaf cooling area refers to the relative humidity level in the tobacco leaf cooling environment. Humidity has an important influence on the cooling effect and subsequent quality of the tobacco leaves, especially under low humidity conditions, the tobacco leaves may dry too quickly. A humidity sensor (such as a digital hygrometer, temperature and humidity recorder, etc.) is used to measure the relative humidity in the cooling area.
[0071] It should be noted that the absolute value of the difference between the moisture content of the above-mentioned tobacco leaves after cooling and the reference value is closely related to the humidity of the cooling area. Higher humidity usually means that the moisture content of the tobacco leaves after cooling is close to the reference value, because the high humidity environment will reduce the evaporation of water and maintain the moisture content of the tobacco leaves. In a low humidity environment, the moisture of the tobacco leaves evaporates faster, resulting in a relatively large moisture content difference. Frequent temperature fluctuations will cause the temperature on the surface of the tobacco leaves to change rapidly, thereby affecting the evaporation rate of its moisture. Frequent cooling and heating may cause the tobacco leaves to be unable to stably maintain an appropriate moisture content during the cooling process, thereby increasing the absolute difference between the moisture content and the reference value. There is also a certain relationship between the number of temperature fluctuations and the humidity of the cooling area. If the humidity is high, it may lead to a decrease in temperature volatility, because the warm air has a higher moisture content, which helps to maintain a relatively stable cooling temperature. If the humidity is low, the number of temperature fluctuations may increase, because dry air is more likely to cause the moisture of the tobacco leaves to evaporate quickly.
[0072] It should be noted that the difference between the moisture content after controlled cooling and the reference moisture content can ensure that the moisture content of the tobacco leaves after baking is within the ideal range, thereby improving the stability of the tobacco leaves during storage and processing. Appropriate cooling conditions can reduce the risk of deterioration of tobacco leaves during subsequent processing and storage, and ensure that the flavor and aroma of the tobacco leaves are not lost. Timely evaluation and adjustment of the cooling status can reduce tobacco leaf losses and waste due to improper cooling, maximize the use of resources, improve economic benefits, and optimize the cooling status. It can reduce rework or reprocessing due to tobacco leaf quality problems, thereby improving overall production efficiency. Through scientific cooling status evaluation, adjustments can be made quickly to achieve the purpose of rapid cooling, further improving the operating efficiency of the production line. The establishment and updating of cooling status evaluation values makes production management more dependent on data and contributes to the formation of scientific decisions.
[0073] Furthermore, the cooling state evaluation value, the specific analysis process is as follows:
[0074]
[0075] In the formula, is the cooling status evaluation value, hs is the absolute value of the difference between the moisture content of the tobacco leaves after cooling and the reference moisture content, hs1 is the moisture content of the tobacco leaves after cooling, hs2 is the reference moisture content of the tobacco leaves after cooling, lb is the number of fluctuations in the tobacco leaf cooling temperature, sd is the humidity in the tobacco leaf cooling area, τ1 is the compensation factor of the set hs, τ2 is the compensation factor of the set lb, τ3 is the compensation factor of the set sd, and e is a natural constant.
[0076] It should be explained that the above cooling status evaluation value is calculated through the absolute value of the difference between the moisture content of the tobacco leaves after cooling and the reference moisture content, the number of temperature fluctuations in the tobacco leaves cooling, and the humidity in the tobacco leaves cooling area. HS, LB, and SD are normalized, and the difference between the moisture content after cooling and the reference moisture content is monitored. It can be determined in real time whether the tobacco leaves meet the quality standards and ensure that the moisture content of each batch of tobacco leaves is within the specified range. The monitoring of the number of temperature fluctuations can timely identify unstable factors in the cooling process, thereby adjusting the cooling system parameters to ensure production efficiency, accurately control the cooling state, and reduce the need for secondary processing caused by improper moisture content, thereby saving cost and time. Appropriate cooling humidity and uniform cooling process can effectively reduce the risk of tobacco deterioration and mildew, thereby improving the overall product quality. The cooling status evaluation value can provide a scientific quantitative basis for management, enhance the effectiveness of management decisions, and reduce errors that may be caused by subjective choices.
[0077] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.
Claims
1. A tobacco leaf intelligent baking platform, characterized in that: It includes a tobacco leaf qualification judgment subsystem for being cured, a placement status judgment subsystem, a curing scheme comparison subsystem, a curing status qualification judgment subsystem and a cooling status qualification judgment subsystem, among which: The tobacco leaves to be cured are qualified and judged by the subsystem, which analyzes the tobacco leaves to be cured and judges whether the tobacco leaves to be cured are qualified; The placement state judgment subsystem analyzes the placement state of the qualified tobacco leaves to be cured and judges whether the placement state of the tobacco leaves to be cured is qualified; The baking scheme comparison subsystem analyzes the basic state of the tobacco leaves to be baked and obtains the baking scheme of the tobacco leaves to be baked by comparison; The qualified baking state judgment subsystem analyzes the baking state of the tobacco leaves to be baked in a qualified placement state based on the baking plan of the tobacco leaves to be baked, and judges whether the baking state of the tobacco leaves to be baked is qualified; The cooling state qualified judgment subsystem analyzes the cooling state of the tobacco leaves to be cured whose baking state is qualified, and judges whether the cooling state of the tobacco leaves to be cured is qualified.
2. The intelligent tobacco baking platform according to claim 1, characterized in that: The specific analysis process of judging whether the tobacco leaves to be cured are qualified includes: Acquire a data set of tobacco leaf status to be cured, and obtain a characteristic value of the tobacco leaf status to be cured based on a comprehensive analysis of the acquired data set of tobacco leaf status to be cured, and use the characteristic value of the tobacco leaf status to be cured as an analysis basis for judging whether the tobacco leaf status to be cured is qualified; Comparing the state characteristic value of the tobacco leaves to be cured with the state reference characteristic value of the tobacco leaves to be cured stored in the database; If the characteristic value of the state of the tobacco leaves to be cured is not lower than the reference characteristic value of the state of the tobacco leaves to be cured, the tobacco leaves to be cured corresponding to the characteristic value of the state of the tobacco leaves to be cured are qualified; If the characteristic value of the state of the tobacco leaves to be cured is lower than the reference characteristic value of the state of the tobacco leaves to be cured, the tobacco leaves to be cured corresponding to the characteristic value of the state of the tobacco leaves to be cured are unqualified and cannot be cured.
3. The intelligent tobacco baking platform according to claim 2, characterized in that: The tobacco leaf state data set to be cured specifically includes the absolute value of the difference between the initial humidity of the tobacco leaves and the reference humidity, the absolute value of the difference between the initial thickness of the tobacco leaves and the reference initial thickness, and the initial number of incomplete tobacco leaves.
4. The intelligent tobacco baking platform according to claim 1, characterized in that: The specific analysis process of judging whether the placement state of the tobacco leaves to be cured is qualified is as follows: Obtaining a data set of placement status of tobacco leaves to be cured, the data set of placement status of tobacco leaves to be cured specifically includes the absolute value of the difference between the horizontal spacing of tobacco leaves and the reference horizontal spacing, the absolute value of the difference between the vertical spacing of tobacco leaves and the reference vertical spacing, and the absolute value of the difference between the height of tobacco leaves and the reference height; Based on the acquired data set of placement status of the tobacco leaves to be cured, a basic placement status characteristic value is obtained through comprehensive analysis, and the basic placement status characteristic value is used as an analysis basis for judging whether the placement status of the tobacco leaves to be cured is qualified; Compare the placement basic state characteristic value with the placement basic state reference characteristic value stored in the database; If the basic placement state characteristic value is not lower than the basic placement state reference characteristic value, the placement state of the tobacco leaves to be cured corresponding to the basic placement state characteristic value is qualified; If the basic placement state characteristic value is lower than the basic placement state reference characteristic value, the placement state of the tobacco leaves to be cured corresponding to the basic placement state characteristic value is unqualified, and the placement state of the tobacco leaves to be cured corresponding to the basic placement state characteristic value needs to be adjusted.
5. The intelligent tobacco baking platform according to claim 4, characterized in that: The specific analysis process of placing the basic state characteristic value is as follows: In the formula, γ is the characteristic value of the basic placement state, hx is the absolute value of the difference between the horizontal spacing of tobacco leaves and the reference horizontal spacing, zx is the absolute value of the difference between the longitudinal spacing of tobacco leaves and the reference longitudinal spacing, gd is the absolute value of the difference between the height of tobacco leaves and the reference height, μ1 is the compensation factor of the set hx, μ2 is the compensation factor of the set zx, μ3 is the compensation factor of the set gd, and e is a natural constant.
6. The intelligent tobacco baking platform according to claim 1, characterized in that: The comparison results in a baking plan for the tobacco leaves to be baked, and the specific analysis process is as follows: Obtaining a basic state data set of tobacco leaves to be cured, wherein the basic state data set of tobacco leaves to be cured specifically includes an average area of tobacco leaves, a total number of tobacco leaves, and an average thickness of tobacco leaves; The average area of tobacco leaves, the total number of tobacco leaves, and the average thickness of tobacco leaves are stored as designated labels, and the designated labels are compared with the baking plans of tobacco leaves to be baked corresponding to the designated labels stored in the database to obtain the baking plans of tobacco leaves to be baked corresponding to the designated labels.
7. The intelligent tobacco baking platform according to claim 1, characterized in that: The specific analysis process of judging whether the baking state of the tobacco leaves to be baked is qualified is as follows: Obtaining a data set of baking status of tobacco leaves to be baked, wherein the data set of baking status of tobacco leaves to be baked specifically includes the number of fluctuations in baking temperature of tobacco leaves, the number of deformations of tobacco leaves during baking, and the number of broken tobacco leaves during baking; Based on the acquired baking state data set of the tobacco leaves to be baked, a baking state evaluation value is obtained through comprehensive analysis, and the baking state evaluation value is used as an analysis basis for judging whether the baking state of the tobacco leaves to be baked is qualified; comparing the baking state evaluation value with a baking state reference evaluation value stored in a database; If the baking state evaluation value is not lower than the baking state evaluation value, the baking state of the tobacco leaves to be baked corresponding to the baking state evaluation value is qualified; If the baking state evaluation value is lower than the baking state evaluation value, the baking state of the tobacco leaves to be baked corresponding to the baking state evaluation value is unqualified, and the baking state of the tobacco leaves to be baked corresponding to the baking state evaluation value needs to be adjusted.
8. The intelligent tobacco baking platform according to claim 7, characterized in that: The baking state evaluation value, the specific analysis process is: Wherein, δ is the baking state evaluation value, bd is the number of fluctuations in tobacco leaf baking temperature, bx is the number of tobacco leaf baking deformations, sl is the number of tobacco leaf baking breakages, σ1 is the compensation factor of the set bd, σ2 is the compensation factor of the set bx, and σ3 is the compensation factor of the set sl.
9. The intelligent tobacco baking platform according to claim 1, characterized in that: The specific analysis process of judging whether the cooling state of the tobacco leaves to be cured is qualified is as follows: Acquire a cooling state data set of tobacco leaves to be cured, wherein the cooling state data set of tobacco leaves to be cured specifically includes the absolute value of the difference between the moisture content of the tobacco leaves after cooling and the reference moisture content, the number of fluctuations in the tobacco leaf cooling temperature, and the humidity in the tobacco leaf cooling area; Based on the obtained cooling state data set of the tobacco leaves to be cured, a cooling state evaluation value is obtained through comprehensive analysis, and the cooling state evaluation value is used as an analysis basis for judging whether the cooling state of the tobacco leaves to be cured is qualified; comparing the cooling state evaluation value with a cooling state reference evaluation value stored in a database; If the cooling state evaluation value is not lower than the cooling state reference evaluation value, the cooling state of the tobacco leaves to be cured corresponding to the cooling state evaluation value is qualified; If the cooling state evaluation value is lower than the cooling state reference evaluation value, the cooling state of the tobacco leaves to be cured corresponding to the cooling state evaluation value is unqualified, and the cooling state of the tobacco leaves to be cured corresponding to the cooling state evaluation value needs to be adjusted.
10. The intelligent tobacco baking platform according to claim 9, characterized in that: The cooling state evaluation value, the specific analysis process is: In the formula, is the cooling status evaluation value, hs is the absolute value of the difference between the moisture content of the tobacco leaves after cooling and the reference moisture content, hs1 is the moisture content of the tobacco leaves after cooling, hs2 is the reference moisture content of the tobacco leaves after cooling, lb is the number of fluctuations in the tobacco leaf cooling temperature, sd is the humidity in the tobacco leaf cooling area, τ1 is the compensation factor of the set hs, τ2 is the compensation factor of the set lb, τ3 is the compensation factor of the set sd, and e is a natural constant.
Citation Information
Patent Citations
Intelligent tobacco leaf baking control system and method
CN114115394A
Cited By
Tobacco leaf curing state discrimination method and system
CN120495690A