Tobacco leaf baking room sealing method

Abstract

The invention relates to the technical field of tobacco processing equipment sealing, and discloses a tobacco leaf baking room sealing method which comprises the steps of adjusting the working time period and strength of a moisture removal fan based on a comparison result of a humidity sensor detection result and a preset threshold value, and monitoring the temperature in a baking room in real time according to data of a temperature sensor. The temperature rise speed is dynamically adjusted to ensure uniform temperature distribution, and the carbon dioxide concentration is fed back by a carbon dioxide concentration sensor and is automatically controlled to adjust the carbon dioxide concentration to optimize fermentation conditions. According to the tobacco leaf baking room sealing method, the problem that local temperature difference is too large can be solved, tobacco leaves can be heated more evenly in the baking process, then it is guaranteed that the color of the tobacco leaves is uniform and consistent, the appearance quality of the tobacco leaves is improved, moisture in the tobacco leaves can be fully removed, the mildew risk is reduced, and the storage safety and quality stability of the tobacco leaves are guaranteed; the loss caused by mildewing is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of sealing of tobacco processing equipment, and in particular to a method for sealing a tobacco leaf baking house. Background Art

[0002] A method for sealing a tobacco leaf baking house aims to optimize the internal environment through tight sealing of the baking house, thereby improving the baking quality and efficiency of tobacco leaves. However, this method still faces some key problems. First is the humidity control problem: how to achieve precise control of the humidity inside the baking house to avoid over-drying of tobacco leaves and prevent the decline of tobacco leaf quality. Second is the temperature difference adjustment problem: during the heating process, the temperature difference between different regions may cause uneven color of tobacco leaves, which needs to be solved by dynamically adjusting the heating rate. Third is the intelligent control of the air flow rate: uneven heating on the surface of tobacco leaves will affect the flavor consistency, and reasonable air flow can solve this problem. Fourth is the carbon dioxide concentration adjustment: the fermentation process of tobacco leaves is affected by the carbon dioxide concentration, and automatically adjusting the carbon dioxide content helps to ensure the normal generation of aroma. Finally is the management of moisture discharge: flexibly setting the time period and intensity of moisture discharge can effectively cope with the mildew risk caused by insufficient internal moisture discharge of tobacco leaves and ensure the quality of tobacco leaves.

[0003] Generally speaking, to ensure the best effect of tobacco leaf baking, a method for sealing a tobacco leaf baking house needs to combine intelligent and refined technical measures to optimize the indoor conditions in multiple dimensions, including but not limited to precise control of elements such as humidity, temperature, air flow, and chemical composition. This can not only ensure the consistency and high quality of each batch of tobacco leaves, but also reduce potential quality problems and economic losses. Summary of the Invention

[0004] To solve the problems raised in the above background art, the present invention provides a method for sealing a tobacco leaf baking house.

[0005] The present invention provides a method for sealing a tobacco leaf baking house, adopting the following technical scheme:

[0006] A method for sealing a tobacco leaf baking house includes:

[0007] S101. Adjust the working time period and intensity of the moisture discharge fan based on the comparison result between the detection result of the humidity sensor and the preset threshold;

[0008] S102. Real-time monitor the temperature inside the baking house according to the temperature sensor data, and dynamically adjust the heating rate to ensure uniform temperature distribution;

[0009] S103. Through the feedback of the carbon dioxide concentration sensor, automatically control the air supplement system to adjust the carbon dioxide concentration to optimize the fermentation conditions;

[0010] S104. Set up an intelligent control system for air flow rate, and regulate the air flow speed according to the requirements of the baking stage to ensure uniform heating of tobacco leaves.

[0011] Preferably, the regulation of internal humidity, temperature, air flow and carbon dioxide concentration based on environmental data further includes:

[0012] Based on the internal humidity H of the baking room, the current ambient temperature T and the air flow speed V at the current moment obtained by the sensor;

[0013] Calculate the humidity change rate R = (H(t) - H(t - dt)) / dt, where H(t) represents the current humidity, H(t - dt) represents the humidity within the past dt time period, and R represents the humidity change rate, to monitor the humidity fluctuation trend and prevent excessive drying of tobacco leaves caused by excessive humidity change;

[0014] If H <= α*K or R <= β, increase the moisture spray amount. The formulated condition is H <= Kα or R <= β, where K is the set ideal humidity value threshold, α represents the relative safety range coefficient (less than 1), and β is the safety change rate threshold for humidity decrease, to ensure timely water replenishment when the humidity is too low and maintain the appropriate humidity required in the ideal baking environment, and avoid reducing the quality of tobacco leaves due to excessive drying;

[0015] Calculate the optimal ventilation time required for the next period before the start of each dehumidification cycle. Specifically, T_v = f(θ, CO2), where θ is the current humidity of the tobacco leaves and CO2 represents the current indoor carbon dioxide concentration level; this formula means that the ventilation time has a functional relationship with both, and reasonably control the indoor carbon dioxide concentration on the premise of ensuring proper dehumidification of tobacco leaves, and solve the problem of poor fermentation risk caused by too high humidity or carbon dioxide concentration imbalance.

[0016] Preferably, the optimization of temperature and heating rate based on temperature and humidity monitoring further includes:

[0017] Establish a temperature matrix G based on the continuously measured multi-point temperature distribution, which is used as the data set for subsequent operations;

[0018] Apply an algorithm to solve the temperature imbalance degree E = g(max(G_ij), min(G_ij)), where the parameter max(G_ij) is the highest temperature point and min(G_ij) is the lowest temperature point. The purpose of this formula is to quantitatively evaluate the possible temperature deviation problems during the baking process;

[0019] If E >= δ, activate the uniform heating program and adjust the power output of each heating zone so that E finally converges to an acceptable range. Here, δ is the preset maximum allowable temperature difference threshold;

[0020] Monitor the humidity h(C,t) at the center point C of the room in real time to ensure that there is no local over-drying phenomenon after each adjustment, and further protect the product quality from damage caused by the dual influence of temperature and humidity.

[0021] Preferably, the dynamic control of the fan speed based on the wind speed and carbon dioxide content to maintain stable climate conditions further includes:

[0022] Measure the current wind speed Vf and CO2 concentration Cs to form the reference benchmark for this regulation;

[0023] Analyze the historical records at different time intervals to obtain the average rate of increase and decrease of CO2, dCO2 / dt, to understand the overall gas exchange efficiency;

[0024] When dCO2 / dt > γ * k_CO2 or Vf < ε, execute the logic of increasing the wind speed, and the formula condition is expressed as |dCO2 / dt| / k_CO2 > γ or Vf < ε. Parameter explanation: k_CO2 is set as the basal metabolic rate constant; γ determines the specific ratio standard value for triggering the alarm; ε defines the minimum wind speed limit required to ensure good respiratory circulation of tobacco leaves;

[0025] Use a machine learning training model to predict the next-stage CO2 dynamics, and accordingly preset the next adjustment time node to achieve effective foresight and prevention of future states, and prevent the accumulation of carbon dioxide from inhibiting the decomposition process of organic substances in tobacco.

[0026] Preferably, the intelligent management of the moisture removal process based on environmental parameters further includes:

[0027] Collect the local temperature TG, indoor relative humidity HR, and CO2 emissions CE, and integrate them into a unified consideration index Q;

[0028] Estimate the remaining water vapor emission index Pm = s(Q), and the function describes that the remaining water volume will decrease with the increase of Q;

[0029] Set the moisture removal level L = w(Pm, Xv) according to the above results and the estimated moisture content Xv of the tobacco leaves, and judge whether to increase the moisture removal intensity through the formula condition L ≥ f(X); this condition means that high-intensity moisture removal operations are only carried out when the estimated remaining moisture is high, preventing the occurrence of mildew risks and also preventing damage to the product flavor due to excessive moisture removal;

[0030] Consider the possible impact of the time interval Δt i and temperature difference ΔTh before and after the moisture removal operation on the physical properties of the tobacco leaves, and perform a moderate heat preservation recovery period after each adjustment, that is, ΔTh < δ and Δt i > t i0, where δ represents the ideal maximum tolerance value; t i0 defines the time period required to wait for effective moisture removal, so as to achieve a better quality maintenance purpose.

[0031] Preferably, the optimization of air quality and its influencing variables based on the feedback system further includes:

[0032] Collect the real-time data sequences of the moisture content M of the tobacco leaves, the current carbon dioxide concentration Cs, and the current temperature T to form a scatter plot D on a three-dimensional coordinate system to visually display the correlation characteristics of various factors;

[0033] Derive the scatter distribution density Z to evaluate whether there is a local aggregation area A. The formula Z(Dij)>θ represents the significance threshold judgment condition for the aggregation phenomenon; θ determines which areas are considered to have problems and need to be processed immediately;

[0034] If there is an abnormal clustering area, start corresponding compensation measures (such as increasing the exhaust frequency or fine-tuning the intake valve opening, etc.) to ensure the overall environmental uniformity and coordination; the advantage of doing this is that it can specifically alleviate the adverse consequences brought by the poor local conditions.

[0035] In summary, the present invention includes at least one of the following beneficial technical effects:

[0036] 1. It can avoid over-drying of tobacco leaves, help maintain the moisture content of tobacco leaves within a suitable range, thus ensuring the flexibility and integrity of tobacco leaves and improving the quality of tobacco leaves.

[0037] 2. It can solve the problem of excessive local temperature difference, enable the tobacco leaves to be heated more evenly during the baking process, and then ensure that the color of the tobacco leaves is uniform, improving the appearance quality of the tobacco leaves.

[0038] 3. It can prevent uneven heating on the surface of tobacco leaves, enable more uniform heat transfer to each part of the tobacco leaves, make the flavor of the tobacco leaves more consistent, and improve the internal quality of the tobacco leaves.

[0039] 4. Promote good fermentation of tobacco leaves, facilitate the generation of aroma substances, make the tobacco leaves have better aroma quality, and increase the commercial value of the tobacco leaves.

[0040] 5. It can ensure the full exclusion of internal moisture of tobacco leaves, reduce the risk of mildew, ensure the storage safety and quality stability of tobacco leaves, and reduce the losses caused by mildew. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flowchart of a method for sealing a tobacco leaf baking house. DETAILED DESCRIPTION OF THE INVENTION

[0042] The following describes the embodiments of the present invention in detail. The examples of the embodiments are shown in the drawings.

[0043] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiments or examples are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0044] An embodiment of the present invention discloses a method for sealing a tobacco leaf baking house, with reference to Figure 1 , including:

[0045] S101. Adjust the working period and intensity of the exhaust fan based on the comparison result between the detection result of the humidity sensor and the preset threshold;

[0046] S102. Monitor the temperature inside the baking house in real time according to the temperature sensor data, and dynamically adjust the heating rate to ensure uniform temperature distribution;

[0047] S103. Through the feedback of the carbon dioxide concentration sensor, automatically control the air supplement system to adjust the carbon dioxide concentration to optimize the fermentation conditions;

[0048] S104. Set up an intelligent control system for the air flow rate, and regulate the air flow speed according to the requirements of the baking stage to ensure uniform heating of the tobacco leaves.

[0049] First, this method involves installing a special sealing strip on the inner wall of the baking house and using a polymer material to reinforce and seal the door and all pipe joints. This polymer material can effectively prevent moisture leakage and keep the indoor and outdoor air isolated. Specifically, when installing the sealing strip, technicians will carefully measure every corner and joint to ensure that each gap can be completely filled with the sealing material, so that the entire room is in a stable microenvironment. To further enhance the sealing effect, in one embodiment, we also installed a double rubber sealing layer around the door frame to make the sealing effect better after closing the door, ensuring that the internal parameter changes will not be easily affected by external interference.

[0050] Second, regarding how to solve the problem of quality decline caused by excessive drying of tobacco leaves, the present invention provides a solution for precisely controlling the humidity system. It mainly relies on a closed-loop control system composed of sensors and an automated controller. In this system, the temperature and humidity sensors placed in the curing barn continuously collect and send signals to the PLC (Programmable Logic Controller), and then the latter issues corresponding instructions according to the set thresholds, such as starting or stopping the steam generating device. When it detects that the humidity is too low and there is a risk of excessive drying, it will supplement water mist to adjust the humidity, ensuring a relatively stable and humid environment suitable for leaf softening and color transformation without causing brittle damage to the appearance due to excessive water loss. This ensures that the final product has an excellent taste, a plump and bright appearance. For example, during the processing of a batch of Yunnan specialty Dahongpao tea, due to the influence of dry climate and seasonal winds, the air in the initial indoor state was too dry and the moisture evaporated rapidly, which might damage the raw materials. However, thanks to the cooperation of the above-mentioned equipment and software to lock the indoor humidity within a reasonable range of about 65%-70% RH, the phenomenon of leaf cracking and damage caused by excessive dryness was avoided, and the good state was maintained until the products passed the warehouse inspection and were delivered and stored in the warehouse after passing the acceptance.

[0051] Next, in order to optimize the heating rate and solve the problem of uneven color caused by local high-temperature areas, this method introduces a dynamic temperature control model based on a neural network technology prediction learning algorithm. This process includes first using an infrared thermal imager to scan the entire space to collect the surface radiation energy distribution and draw a detailed thermal map, and then feedback according to the actual position differences to the AI algorithm library. After multiple rounds of training, a personalized heating strategy customized for the characteristics of different batches of raw materials is obtained. At the same time, a variable-frequency air-conditioning unit is used in conjunction to achieve flexible power changes to ensure a uniform and constant supply air temperature to meet the process requirements. For example, when baking some high-grade cigar tobacco plants, special emphasis is placed on maintaining the overall consistency of the appearance without uneven shades. Therefore, this new technology can well balance the temperature difference between different points so that it does not exceed the range of ±2 degrees Celsius, and then achieve the expected smooth color effect, significantly improving the product quality.

[0052] Fourthly, it involves a refined management mechanism for air velocity and flow direction, that is, relying on a multi-channel fan matrix arranged on the surrounding walls to form a three-dimensional circulation ventilation pattern, and using a PID adjustment module to continuously correct the rotation speed in real time to adapt to the required ventilation intensity and mode, ensuring that each layer of the contact surface receives the same amount of heat energy exchange, thus avoiding the accumulation of local hot spots and abnormal phenomena such as scorching. At the same time, it also promotes the acceleration of chemical substance transformation to synthesize more beneficial substances, endowing a unique fragrance that lingers in the mouth and is unforgettable. For example, during the drying process of a certain type of spice and herb crop, this function was tried and it was confirmed that it can make the internal water content of the product more uniform, with a strong and fragrant flavor.

[0053] Finally, in terms of reducing the risk of mold growth while solving the adverse effects of poor fermentation on aroma generation, an automatic monitoring station for carbon dioxide emissions in a closed space is established to automatically monitor the changes in indoor component content. Once it is below the predetermined limit, fresh outside air will be automatically introduced to replace the exhaust gas generated by excessive accumulation and discharge harmful impurities. In addition, the dehumidification port will be regularly opened to allow an appropriate amount of moisture to escape, reducing the condensation probability and eliminating potential hidden dangers. This not only promotes the normal activities of the microbial community but also provides a good environmental preparation for the next natural aging stage. Taking fermented tobacco leaves as an example, during the initial fermentation, the carbon-oxygen concentration ratio should be strictly controlled. It should neither lack oxygen nor be over-injected to avoid hindering the reproduction of beneficial bacteria or inhibiting the efficiency of enzymatic reactions. Instead, an appropriate ratio range should be maintained so that more active factors can be stimulated to participate in the joint action, forming a rich aroma layer that is more complex, long-lasting, resistant to storage, and not easily deteriorated or spoiled.

[0054] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for sealing a tobacco leaf baking house, characterized in that, Including: S101. Adjust the working period and intensity of the dehumidifying fan based on the comparison result between the detection result of the humidity sensor and the preset threshold; S102. Monitor the temperature in the baking room in real time according to the temperature sensor data, and dynamically adjust the heating rate to ensure uniform temperature distribution; S103. Through the feedback of the carbon dioxide concentration sensor, automatically control the air supplement system to adjust the carbon dioxide concentration to optimize the fermentation conditions; S104. Set up an intelligent control system for air flow rate, and regulate the air flow speed according to the requirements of the baking stage to ensure uniform heating of the tobacco leaves.

2. A method for sealing a tobacco leaf baking house according to claim 1, characterized in that The regulation of internal humidity, temperature, air flow and carbon dioxide concentration based on environmental data further includes: Based on the internal humidity H of the baking room, the current ambient temperature T and the air flow speed V at the current moment obtained by the sensor; Calculate the humidity change rate R = (H(t) - H(t + dt)) / dt, where H(t) represents the current humidity, H(t + dt) represents the humidity within the past dt time period, and R represents the humidity change rate, to monitor the humidity fluctuation trend and prevent excessive drying of the tobacco leaves caused by excessive humidity change; If H <= α * K or R <= β, increase the moisture spray amount, and the formulated condition is H <= Kα or R <= β, where K is the set ideal humidity value threshold, α represents the relative safety range coefficient (less than 1), and β is the safety change rate threshold of humidity decrease, to ensure timely water replenishment when the humidity is too low and maintain the appropriate humidity required in the ideal baking environment, and avoid reducing the quality due to excessive drying of the tobacco leaves; Calculate the optimal ventilation time required for the next period before the start of each dehumidification cycle, specifically T_v = f(θ, CO2), where θ is the current humidity of the tobacco leaves and CO2 represents the current indoor carbon dioxide concentration level; this formula means that the ventilation time has a functional relationship with both of them, and reasonably control the indoor carbon dioxide concentration on the premise of ensuring proper dehumidification of the tobacco leaves, and solve the problem of poor fermentation risk caused by too high humidity or carbon dioxide concentration imbalance.

3. A method for sealing a tobacco leaf baking house according to claim 1, characterized in that, The optimization of temperature and heating rate based on temperature and humidity monitoring further includes: Establish a temperature matrix G based on the continuously measured multi-point temperature distribution, which is used as the data set for subsequent operations; Apply an algorithm to solve the temperature imbalance degree E = g(max(G_ij), min(G_ij)), where the parameter max(G_ij) is the highest temperature point and min(G_ij) is the lowest temperature point. The purpose of this formula is to quantitatively evaluate the possible temperature deviation problems during the baking process; If E >= δ, activate the uniform heating program and adjust the power output of each heating zone so that E finally converges to an acceptable range. Here, δ is the preset maximum allowable temperature difference threshold; Real-time monitor the humidity h(C, t) at the center point C of the room to ensure that no local over-drying phenomenon occurs after each adjustment, and further protect the product quality from being damaged by the dual influence of temperature and humidity.

4. A method for sealing a tobacco leaf baking house according to claim 1, characterized in that, The dynamic control of the fan speed based on the wind speed and carbon dioxide content to maintain stable climate conditions further includes: Measure the current wind speed Vf and CO2 concentration Cs to form the reference benchmark for this regulation; Analyze the historical records at different time intervals to obtain the average rate of increase and decrease of CO2, dCO2 / dt, in order to understand the overall gas exchange efficiency; When dCO2 / dt > γ * k_CO2 or Vf < ε, execute the logic of increasing the wind speed. The formula condition is expressed as |dCO2 / dt| / k_CO2 > γ or Vf < ε. Parameter explanation: k_CO2 is set as the basal metabolic rate constant; γ determines the specific ratio standard value for triggering the alarm; ε defines the minimum wind speed limit required to ensure a good respiratory cycle of the tobacco leaves; Use a machine learning training model to predict the CO2 dynamics in the next stage, and accordingly preset the next adjustment time node to achieve effective foresight and prevention of future states, and prevent the decomposition process of organic substances in tobacco from being inhibited by carbon dioxide accumulation.

5. A method for sealing a tobacco leaf baking house according to claim 1, characterized in that, The intelligent management of the moisture removal process based on environmental parameters further includes: Collect the local temperature TG, indoor relative humidity HR, and CO2 emissions CE, and integrate them into a unified consideration index Q; Estimate the remaining water vapor emission index Pm = s(Q), and the function describes that the remaining water volume will decrease with the increase of Q; Set the moisture removal level L = w(Pm, Xv) according to the above results and the estimated tobacco leaf moisture content Xv, and judge whether to increase the moisture removal intensity through the formula condition L ≥ f(X); this condition means that high-intensity moisture removal operations are only carried out when the estimated remaining moisture is high, preventing the occurrence of mildew risks and also preventing damage to the product flavor due to excessive moisture removal; Consider the possible impacts of the time interval Δti and temperature difference ΔTh before and after the moisture removal operation on the physical properties of the tobacco leaves, and conduct a moderate heat preservation recovery period after each adjustment, that is, ΔTh < δ and Δti > ti0, where δ represents the ideal maximum tolerance value; ti0 defines the time period required to wait for effective moisture removal, so as to achieve a better quality maintenance purpose.

6. The method for sealing a tobacco leaf baking house according to claim 1, characterized in that, The optimization of air quality and its influencing variables based on the feedback system further includes: Collect the real-time data sequences of the moisture content M of the cured tobacco leaves, the current carbon dioxide concentration Cs, and the current temperature T to form a scatter plot D on a three-dimensional coordinate system to visually display the correlation characteristics of various factors; Derive the scatter distribution density Z to evaluate whether there is a local aggregation area A. The formula Z(Dij) > θ represents the significance threshold judgment condition for the aggregation phenomenon; θ determines which areas are considered to have problems and need to be processed immediately; If there is an abnormal clustering area, start corresponding compensation measures (such as increasing the exhaust frequency or fine-tuning the intake valve opening, etc.) to ensure the overall environmental uniformity and coordination; the advantage of doing this is that it can specifically alleviate the adverse consequences brought by the poor local conditions.

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