Method and system for controlling air dryness and humidity in sealed tobacco stacks

Abstract

The present invention discloses a method and system for controlling the dryness and humidity of air in a sealed tobacco stack, and relates to the technical field of controlling the dryness and humidity of air in a sealed tobacco stack. The method comprises measuring and recording initial environmental parameters of a target sealed tobacco stack to obtain initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data; based on the initial environmental data, optimizing the sealing performance of the sealed tobacco stack by adopting a multi-layer sealing structure optimization and a humidity buffer layer setting method to obtain a sealed stack structure; based on the environmental data, adjusting the temperature and humidity in the sealed stack by adopting a humidity dynamic control method, and calculating an optimal temperature and humidity adjustment scheme by using an AI prediction model to obtain an adjusted temperature and humidity environment; based on the adjusted temperature and humidity environment, dynamically adjusting the ventilation volume or heating power in the sealed stack by adopting a dew point temperature compensation mechanism method to obtain a stable dew point temperature environment.

Description

Technical Field

[0001] The invention relates to the technical field of air dryness and humidity control in a sealed tobacco leaf stack, in particular to a method and system for controlling air dryness and humidity in a sealed tobacco leaf stack. Background Art

[0002] Air humidity and dryness control technology within sealed tobacco stacks is used to maintain ideal temperature and humidity conditions for tobacco leaves during storage. Its primary goal is to precisely monitor and control the temperature, relative humidity, and dew point within the sealed stacks, ensuring these parameters remain within the optimal range and minimizing the degradation of tobacco leaf quality caused by environmental fluctuations.

[0003] In the field of air dryness and humidity control inside sealed tobacco stacks, the existing sealed stack structure cannot effectively prevent external moisture infiltration, resulting in large fluctuations in internal humidity, affecting the preservation quality of tobacco leaves. Traditional temperature and humidity control methods often rely on manual intervention or simple automatic control systems, lack the ability to predict environmental changes, and are difficult to achieve precise control. At the same time, condensation caused by the temperature difference between the inside and outside may lead to humidity out of control, thereby affecting the quality of tobacco leaves. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves to solve the problem that traditional temperature and humidity control methods often rely on manual intervention or simple automatic control systems, lack the ability to predict environmental changes, and are difficult to achieve precise control. At the same time, condensation caused by the temperature difference between the inside and outside may lead to humidity out of control, thereby affecting the quality of the tobacco leaves.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves, comprising:

[0008] Measure and record the initial environmental parameters of the target tobacco leaf sealed pile to obtain initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data;

[0009] Based on the initial environmental data, the sealing performance of the tobacco leaf sealed stack was optimized by adopting the multi-layer sealing structure optimization and humidity buffer layer setting method, and the sealed stack structure was obtained.

[0010] Based on environmental data, a dynamic humidity control method is used to adjust the temperature and humidity inside the sealed stack. The AI ​​prediction model is used to calculate the optimal temperature and humidity adjustment plan to obtain the adjusted temperature and humidity environment.

[0011] Based on the adjusted temperature and humidity environment, the dew point temperature compensation mechanism is used to dynamically adjust the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment;

[0012] Based on a stable dew point temperature environment, a continuous monitoring and early warning method is used to evaluate the environment, set early warning thresholds, and obtain early warning results.

[0013] As a preferred embodiment of the method for controlling the dryness and humidity of air in a sealed tobacco stack of the present invention, the initial environmental parameters of the sealed target tobacco stack are measured and recorded to obtain initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data. The specific steps are as follows:

[0014] A platinum resistance thermometer is used to measure the temperature inside and outside the sealed pile of target tobacco leaves to obtain the ambient temperature;

[0015] The relative humidity at the same location is measured using a capacitive humidity sensor to obtain the relative humidity;

[0016] Based on the ambient temperature and relative humidity, the dew point temperature is calculated using the expression:

[0017] ;

[0018] in, is the dew point temperature, is the relative humidity, is the current ambient temperature, is a constant, is a constant;

[0019] A data recording device is used to record the ambient temperature, relative humidity, and the calculated dew point temperature, and environmental data is obtained based on the measurement and calculation results.

[0020] As a preferred embodiment of the method for controlling the dryness and humidity of air in a sealed tobacco stack of the present invention, the method comprises the following steps: optimizing the sealing performance of the sealed tobacco stack based on initial environmental data by optimizing the multi-layer sealing structure and setting a humidity buffer layer to obtain a sealed stack structure;

[0021] The outer layer of the sealed tobacco pile is wrapped with a polymer composite material. Based on the temperature and relative humidity in the initial environmental data, the polymer composite material is selected to obtain a preliminary sealing layer.

[0022] Using intelligent humidity-regulating membrane technology, a layer of humidity-regulating membrane is added inside the preliminary sealing layer. Based on the dew point temperature in the initial environmental data, the intelligent humidity-regulating membrane material is selected to obtain an enhanced sealing layer.

[0023] Based on the enhanced sealing layer, a humidity buffer layer is set inside it and filled with high-efficiency adsorbent or humidity-regulating material to obtain a complete humidity buffer layer;

[0024] A sensor network is used to monitor the temperature and humidity within the humidity buffer layer. Based on the location and material properties of the humidity buffer layer, temperature and humidity sensors are installed to obtain real-time feedback data.

[0025] Based on real-time feedback data, the material distribution of the humidity buffer layer is fine-tuned to obtain a sealed stack structure.

[0026] As a preferred embodiment of the method for controlling the dryness and humidity of air in a sealed tobacco stack of the present invention, the temperature and humidity in the sealed stack are adjusted based on environmental data using a dynamic humidity control method, and an AI prediction model is used to calculate the optimal temperature and humidity adjustment scheme to obtain the adjusted temperature and humidity environment. The specific steps are as follows:

[0027] Use a central control platform to analyze and process real-time temperature, relative humidity and dew point temperature data;

[0028] Based on the environmental data obtained from the sensor network, the current environmental status is identified through the built-in data analysis algorithm to obtain preliminary adjustment requirements;

[0029] Based on the initial adjustment requirements, the pre-trained AI prediction model is used to predict the optimal temperature and humidity settings for the next period of time.

[0030] The optimization function in the AI ​​prediction model is used to calculate the specific adjustment parameters and obtain the temperature and humidity adjustment plan, which is expressed as follows:

[0031] ;

[0032] in, To optimize the function, is the current ambient temperature, is the relative humidity, is the dew point temperature, is the target temperature, is the target relative humidity, is the target dew point temperature, is the temperature regulation coefficient, is the humidity adjustment coefficient, is the dew point temperature adjustment coefficient;

[0033] The calculated adjustment parameters are used to control the temperature and humidity in the sealed stack structure to obtain an adjusted temperature and humidity environment.

[0034] As a preferred embodiment of the method for controlling the air dryness and humidity in a sealed tobacco stack of the present invention, the ventilation volume or heating power in the sealed stack is dynamically adjusted based on the adjusted temperature and humidity environment using a dew point temperature compensation mechanism to obtain a stable dew point temperature environment. The specific steps are as follows:

[0035] Based on the adjusted temperature and humidity environmental data obtained from the sensor network, identify whether the current dew point temperature is close to the target dew point temperature and obtain preliminary compensation requirements;

[0036] Based on the preliminary compensation requirements, the temperature difference between the inside and outside of the palletizing structure is calculated using the following expression:

[0037] ;

[0038] in, is the temperature difference between inside and outside, is the internal temperature of the sealed stack, is the external ambient temperature;

[0039] The dew point temperature compensation function is used to calculate the specific compensation parameters. The expression is:

[0040] ;

[0041] in, is the dew point temperature compensation function, is the current dew point temperature, is the target dew point temperature, is the temperature difference between inside and outside, is the dew point temperature compensation coefficient, is the temperature difference compensation coefficient;

[0042] when near and When smaller, The value of tends to be stable, indicating that the current environment is close to the ideal state;

[0043] On the contrary, when the dew point temperature deviates from the target value or the temperature difference between inside and outside is large, The value of will increase significantly, and a larger compensation amplitude is required;

[0044] The calculated compensation parameters are used to regulate the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment.

[0045] As a preferred embodiment of the method for controlling the dryness and humidity of air in a sealed tobacco stack of the present invention, the method of using the calculated compensation parameters to control the ventilation volume or heating power in the sealed stack is specifically as follows:

[0046] Based on the specific value given by the dew point temperature compensation function, the dew point temperature inside the sealed stack is controlled by adjusting the working state of the ventilation equipment or heating device to obtain a stable dew point temperature environment;

[0047] Based on the adjusted new dew point temperature data, the sensor network continues to collect real-time data and feeds it back to the central control platform for further adjustment to ensure that the dew point temperature in the sealed stack always remains within the optimal range and a stable dew point temperature environment is obtained.

[0048] As a preferred embodiment of the method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves according to the present invention, the method comprises the following steps: based on a stable dew point temperature environment, a continuous monitoring and early warning method is used to evaluate the environment, set an early warning threshold, and obtain an early warning result.

[0049] Set warning thresholds based on real-time environmental parameters;

[0050] The warning thresholds include an upper temperature limit, a lower temperature limit, an upper relative humidity limit, a lower relative humidity limit, and an upper dew point temperature limit and a lower dew point temperature limit;

[0051] The early warning function is used to calculate the specific early warning status. The expression is:

[0052] ;

[0053] in, is the warning function, is the current ambient temperature, is the relative humidity, is the dew point temperature;

[0054] When any environmental parameter exceeds the preset safety range, The value of 1 indicates that an alarm needs to be triggered;

[0055] otherwise, A value of 0 indicates that the environment is within a safe range;

[0056] Based on the early warning results, reports are generated regularly to summarize the frequency, type and handling of abnormalities, and obtain complete early warning management records.

[0057] In a second aspect, the present invention provides a system for controlling the humidity and dryness of air in a sealed tobacco stack, comprising:

[0058] Environmental monitoring module, sealing optimization module, temperature and humidity control module, dew point compensation module and early warning management module;

[0059] The environmental monitoring module is used to measure and record the initial environmental parameters of the target tobacco leaf sealed stack, using a platinum resistance thermometer to measure temperature and a capacitive humidity sensor to measure relative humidity, and calculate the dew point temperature based on the data;

[0060] The sealing optimization module is used to optimize the sealing performance of the tobacco leaf sealed stack based on the initial environmental data by adopting the multi-layer sealing structure optimization and humidity buffer layer setting method;

[0061] The temperature and humidity control module is used to adjust the temperature and humidity in the sealed stack based on environmental data using a dynamic humidity control method;

[0062] The dew point compensation module is used to dynamically adjust the ventilation volume or heating power in the sealed stack based on the adjusted temperature and humidity environment using a dew point temperature compensation mechanism;

[0063] The early warning management module is used to continuously monitor and evaluate environmental conditions based on a stable dew point temperature environment, set early warning thresholds, and use early warning functions to determine whether the current environment exceeds a safe range.

[0064] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves as described in the first aspect of the present invention is implemented.

[0065] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves as described in the first aspect of the present invention is implemented.

[0066] The beneficial effects of the present invention are as follows: by optimizing the sealing performance of the sealed tobacco stack based on initial environmental data and adopting a multi-layer sealing structure optimization and a humidity buffer layer setting method, an enhanced sealing effect and internal humidity stability are achieved. The enhanced sealing performance not only prevents the influence of external moisture, but also maintains the internal humidity constant through the adjustment function of the humidity buffer layer, thereby reducing the risk of quality changes of tobacco leaves due to humidity fluctuations and improving storage safety. By adjusting the temperature and humidity in the sealed stack based on environmental data and adopting a humidity dynamic control method, and using an AI prediction model to calculate the optimal temperature and humidity adjustment plan, precise temperature and humidity control is achieved. The dynamic control mechanism ensures precise control of temperature and humidity, avoiding the problem of tobacco deterioration caused by temperature and humidity fluctuations. The application of the AI ​​model makes the control more intelligent and efficient, reduces the need for manual intervention, and improves the automation level of the method. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0068] Figure 1 This is a flow chart of the method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves in Example 1.

[0069] Figure 2 Schematic diagram of the air dryness and humidity control system in the sealed tobacco stack in Example 1. DETAILED DESCRIPTION

[0070] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0071] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0072] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0073] Example 1, with reference to Figure 1 and Figure 2 , is an embodiment of the present invention, which provides a method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves, comprising:

[0074] S1. Measure and record the initial environmental parameters of the target tobacco leaf sealed pile to obtain initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data;

[0075] Furthermore, a platinum resistance thermometer is used to initially measure the temperature inside and outside the sealed pile of target tobacco leaves to obtain the ambient temperature;

[0076] The relative humidity at the same location is measured using a capacitive humidity sensor to obtain the relative humidity;

[0077] Based on the ambient temperature and relative humidity, the dew point temperature is calculated using the expression:

[0078] ;

[0079] in, is the dew point temperature, is the relative humidity, is the current ambient temperature, is a constant, is a constant;

[0080] Using data recording equipment to record the ambient temperature, relative humidity and calculated dew point temperature, and obtaining environmental data based on the measurement and calculation results;

[0081] It should be noted that by accurately measuring and recording the initial environmental parameters, a reliable data basis is provided for subsequent sealing optimization, temperature and humidity control, and dew point compensation. The high-precision sensor not only ensures the accuracy of the data, but also can reflect environmental changes in real time, ensuring that the adjustment measures in subsequent steps are based on real and detailed environmental information.

[0082] S2. Based on the initial environmental data, the sealing performance of the tobacco leaf sealed stack is optimized by adopting a multi-layer sealing structure optimization and humidity buffer layer setting method to obtain a sealed stack structure;

[0083] Furthermore, a polymer composite material is used to wrap the outer layer of the sealed tobacco stack. Based on the temperature and relative humidity in the initial environmental data, the polymer composite material is selected to obtain a preliminary sealing layer.

[0084] Using intelligent humidity-regulating membrane technology, a layer of humidity-regulating membrane is added inside the preliminary sealing layer. Based on the dew point temperature in the initial environmental data, the intelligent humidity-regulating membrane material is selected to obtain an enhanced sealing layer.

[0085] Based on the enhanced sealing layer, a humidity buffer layer is set inside it and filled with high-efficiency adsorbent or humidity-regulating material to obtain a complete humidity buffer layer;

[0086] A sensor network is used to monitor the temperature and humidity within the humidity buffer layer. Based on the location and material properties of the humidity buffer layer, temperature and humidity sensors are installed to obtain real-time feedback data.

[0087] Based on real-time feedback data, the material distribution of the humidity buffer layer is fine-tuned to obtain a sealed stack structure;

[0088] It should be noted that the optimization of the multi-layer sealing structure and the setting method of the humidity buffer layer have significantly improved the overall sealing performance and internal humidity stability of the sealed stack. By selecting suitable polymer composite materials and intelligent humidity control membrane technology, and setting a humidity buffer layer inside, the penetration of external moisture can be effectively reduced while maintaining a stable internal humidity environment. This is crucial for the long-term storage of tobacco leaves and can significantly reduce the risk of quality loss due to environmental changes.

[0089] S3. Based on environmental data, a dynamic humidity control method is used to adjust the temperature and humidity inside the sealed stack. The AI ​​prediction model is used to calculate the optimal temperature and humidity adjustment plan to obtain the adjusted temperature and humidity environment.

[0090] Furthermore, a central control platform is used to analyze and process real-time temperature, relative humidity, and dew point temperature data;

[0091] Based on the environmental data obtained from the sensor network, the current environmental status is identified through the built-in data analysis algorithm to obtain preliminary adjustment requirements;

[0092] Based on the initial adjustment requirements, the pre-trained AI prediction model is used to predict the optimal temperature and humidity settings for the next period of time.

[0093] The optimization function in the AI ​​prediction model is used to calculate the specific adjustment parameters and obtain the temperature and humidity adjustment plan, which is expressed as follows:

[0094] ;

[0095] in, To optimize the function, is the current ambient temperature, is the relative humidity, is the dew point temperature, is the target temperature, is the target relative humidity, is the target dew point temperature, is the temperature regulation coefficient, is the humidity adjustment coefficient, is the dew point temperature adjustment coefficient;

[0096] The calculated adjustment parameters are used to regulate the temperature and humidity in the sealed stack structure to obtain an adjusted temperature and humidity environment;

[0097] It should be noted that the use of AI prediction models for dynamic temperature and humidity control not only improves the accuracy and response speed of control, but also predicts the optimal future temperature and humidity settings based on historical data and current environmental conditions, thereby achieving more intelligent control. This method not only reduces the need for manual intervention, but also can more effectively respond to sudden environmental changes, ensuring that the temperature and humidity in the sealed stack are always in an ideal state, thereby maximizing the protection of tobacco leaf quality.

[0098] S4. Based on the adjusted temperature and humidity environment, a dew point temperature compensation mechanism is used to dynamically adjust the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment;

[0099] Furthermore, based on the adjusted temperature and humidity environmental data obtained from the sensor network, it is identified whether the current dew point temperature is close to the target dew point temperature and the preliminary compensation requirement is obtained;

[0100] Based on the preliminary compensation requirements, the temperature difference between the inside and outside of the palletizing structure is calculated using the following expression:

[0101] ;

[0102] in, is the temperature difference between inside and outside, is the internal temperature of the sealed stack, is the external ambient temperature;

[0103] The dew point temperature compensation function is used to calculate the specific compensation parameters. The expression is:

[0104] ;

[0105] in, is the dew point temperature compensation function, is the current dew point temperature, is the target dew point temperature, is the temperature difference between inside and outside, is the dew point temperature compensation coefficient, is the temperature difference compensation coefficient;

[0106] when near and When smaller, The value of tends to be stable, indicating that the current environment is close to the ideal state;

[0107] On the contrary, when the dew point temperature deviates from the target value or the temperature difference between inside and outside is large, The value of will increase significantly, and a larger compensation amplitude is required;

[0108] The calculated compensation parameters are used to regulate the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment;

[0109] Based on the specific value given by the dew point temperature compensation function, the dew point temperature inside the sealed stack is controlled by adjusting the working state of the ventilation equipment or heating device to obtain a stable dew point temperature environment;

[0110] Based on the adjusted new dew point temperature data, the sensor network continues to collect real-time data and feeds it back to the central control platform for further adjustments to ensure that the dew point temperature in the sealed stack always remains within the optimal range and obtains a stable dew point temperature environment;

[0111] It should be noted that the dew point temperature compensation mechanism effectively avoids the occurrence of condensation by accurately calculating the temperature difference between inside and outside and dynamically adjusting the ventilation volume or heating power. This mechanism can not only respond quickly to environmental changes, but also maintain a stable state when the dew point temperature is close to the target value, preventing humidity out of control problems caused by temperature differences. This step is combined with temperature and humidity control to form a closed-loop control system, further enhancing the robustness and adaptability of the system.

[0112] S5. Based on a stable dew point temperature environment, use continuous monitoring and early warning methods to assess the environment, set early warning thresholds, and obtain early warning results;

[0113] Furthermore, based on real-time environmental parameters, warning thresholds can be set;

[0114] Warning thresholds include upper and lower temperature limits, upper and lower relative humidity limits, and upper and lower dew point temperature limits.

[0115] The early warning function is used to calculate the specific early warning status. The expression is:

[0116] ;

[0117] in, is the warning function, is the current ambient temperature, is the relative humidity, is the dew point temperature;

[0118] When any environmental parameter exceeds the preset safety range, The value of 1 indicates that an alarm needs to be triggered;

[0119] otherwise, A value of 0 indicates that the environment is within a safe range;

[0120] Based on the early warning results, regular reports are generated to summarize the frequency, type and handling of abnormalities, and obtain complete early warning management records;

[0121] It should be noted that the continuous monitoring and early warning system can issue timely alarms when environmental parameters exceed the safe range by setting reasonable early warning thresholds, reminding managers to take corresponding measures. Regularly generated reports summarize the frequency, type and handling of abnormalities, which helps to improve management and optimize system settings, ensuring that the environment in the sealed stack is always in the best condition. In addition, this preventive monitoring method greatly reduces potential risks and ensures the safe storage of tobacco leaves.

[0122] This embodiment also provides a system for controlling the humidity and dryness of air in a sealed tobacco stack, comprising:

[0123] Environmental monitoring module, sealing optimization module, temperature and humidity control module, dew point compensation module and early warning management module;

[0124] An environmental monitoring module is used to measure and record the initial environmental parameters of the target tobacco leaf sealed stack. It uses a platinum resistance thermometer to measure temperature and a capacitive humidity sensor to measure relative humidity, and calculates the dew point temperature based on the data.

[0125] The sealing optimization module is used to optimize the sealing performance of the tobacco leaf sealed stack based on the initial environmental data by optimizing the multi-layer sealing structure and setting the humidity buffer layer;

[0126] The temperature and humidity control module is used to adjust the temperature and humidity in the sealed stack based on environmental data using a dynamic humidity control method;

[0127] Dew point compensation module, used to dynamically adjust the ventilation volume or heating power in the sealed stack based on the adjusted temperature and humidity environment using a dew point temperature compensation mechanism;

[0128] The early warning management module is used to continuously monitor and evaluate environmental conditions based on a stable dew point temperature environment, set early warning thresholds, and use early warning functions to determine whether the current environment exceeds a safe range.

[0129] This embodiment also provides a computer device, which is suitable for the method of controlling the dryness and humidity of air in a sealed stack of tobacco leaves, and includes: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the method of controlling the dryness and humidity of air in a sealed stack of tobacco leaves as proposed in the above embodiment.

[0130] The computer device may be a terminal, comprising a processor, memory, a communication interface, a display, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and computer programs. The internal memory provides an environment for the operating system and computer programs stored in the non-volatile storage media. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication. Wireless communication may be achieved via Wi-Fi, a carrier network, NFC (near-field communication), or other technologies. The display of the computer device may be a liquid crystal display or an electronic ink display. The input device may be a touchscreen overlay on the display, buttons, a trackball, or a touchpad on the computer device housing, or an external keyboard, touchpad, or mouse.

[0131] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0132] In summary, the present invention optimizes the sealing performance of the sealed tobacco stack based on initial environmental data and adopts a multi-layer sealing structure optimization and humidity buffer layer setting method, thereby achieving enhanced sealing effect and internal humidity stability. The enhanced sealing performance not only prevents the influence of external moisture, but also maintains the internal humidity constant through the adjustment function of the humidity buffer layer, thereby reducing the risk of quality changes of tobacco leaves due to humidity fluctuations and improving storage safety. Based on environmental data, a humidity dynamic control method is used to adjust the temperature and humidity in the sealed stack, and an AI prediction model is used to calculate the optimal temperature and humidity adjustment plan, thereby achieving precise temperature and humidity control. The dynamic control mechanism ensures precise control of temperature and humidity, avoiding the problem of tobacco deterioration caused by temperature and humidity fluctuations. The application of the AI ​​model makes the control more intelligent and efficient, reduces the need for manual intervention, and improves the automation level of the method.

[0133] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for controlling the dryness and humidity of air in a sealed tobacco leaf pile, characterized by: include: Measure and record the initial environmental parameters of the target tobacco leaf sealed pile to obtain initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data; Based on environmental data, the sealing performance of tobacco leaf sealed stacks was optimized by adopting multi-layer sealing structure optimization and humidity buffer layer setting methods, and the sealed stack structure was obtained. Based on environmental data, a dynamic humidity control method is used to adjust the temperature and humidity inside the sealed stack. The AI ​​prediction model is used to calculate the optimal temperature and humidity adjustment plan to obtain the adjusted temperature and humidity environment. Based on the adjusted temperature and humidity environment, the dew point temperature compensation mechanism is used to dynamically adjust the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment; Based on a stable dew point temperature environment, a continuous monitoring and early warning method is used to evaluate the environment, set early warning thresholds, and obtain early warning results; Among them, based on environmental data, the sealing performance of the tobacco leaf sealed stack is optimized and designed by adopting the multi-layer sealing structure optimization and humidity buffer layer setting method to obtain the sealed stack structure. The specific steps are as follows: The outer layer of the sealed tobacco pile is wrapped with a polymer composite material. Based on the temperature and relative humidity in the initial environmental data, the polymer composite material is selected to obtain a preliminary sealing layer. Using intelligent humidity-regulating membrane technology, a layer of humidity-regulating membrane is added inside the preliminary sealing layer. Based on the dew point temperature in the initial environmental data, the intelligent humidity-regulating membrane material is selected to obtain an enhanced sealing layer. Based on the enhanced sealing layer, a humidity buffer layer is set inside it and filled with high-efficiency adsorbent or humidity-regulating material to obtain a complete humidity buffer layer; A sensor network is used to monitor the temperature and humidity within the humidity buffer layer. Based on the location and material properties of the humidity buffer layer, temperature and humidity sensors are installed to obtain real-time feedback data. Based on real-time feedback data, the material distribution of the humidity buffer layer is fine-tuned to obtain a sealed stack structure.

2. The method for controlling the dryness and humidity of air in a sealed tobacco pile according to claim 1, wherein: The initial environmental parameters of the target sealed tobacco leaf stack are measured and recorded to obtain initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data. The specific steps are as follows: A platinum resistance thermometer is used to measure the temperature inside and outside the sealed pile of target tobacco leaves to obtain the ambient temperature; The relative humidity at the same location is measured using a capacitive humidity sensor to obtain the relative humidity; Based on the ambient temperature and relative humidity, the dew point temperature is calculated using the expression: ; in, is the dew point temperature, is the relative humidity, is the current ambient temperature, is a constant, is a constant; A data recording device is used to record the ambient temperature, relative humidity, and the calculated dew point temperature, and environmental data is obtained based on the measurement and calculation results.

3. The method for controlling the dryness and humidity of air in a sealed tobacco leaf stack according to claim 1, wherein: Based on the environmental data, the temperature and humidity in the sealed stack are adjusted using a dynamic humidity control method, and the optimal temperature and humidity adjustment plan is calculated using an AI prediction model to obtain the adjusted temperature and humidity environment. The specific steps are as follows: Use a central control platform to analyze and process real-time temperature, relative humidity and dew point temperature data; Based on the environmental data obtained from the sensor network, the current environmental status is identified through the built-in data analysis algorithm to obtain preliminary adjustment requirements; Based on the initial adjustment requirements, the pre-trained AI prediction model is used to predict the optimal temperature and humidity settings for the next period of time. The optimization function in the AI ​​prediction model is used to calculate the specific adjustment parameters and obtain the temperature and humidity adjustment plan, which is expressed as follows: ; in, To optimize the function, is the current ambient temperature, is the relative humidity, is the dew point temperature, is the target temperature, is the target relative humidity, is the target dew point temperature, is the temperature regulation coefficient, is the humidity adjustment coefficient, is the dew point temperature adjustment coefficient; The calculated adjustment parameters are used to control the temperature and humidity in the sealed stack structure to obtain an adjusted temperature and humidity environment.

4. The method for controlling the dryness and humidity of air in a sealed tobacco leaf stack according to claim 3, wherein: Based on the adjusted temperature and humidity environment, the dew point temperature compensation mechanism is used to dynamically adjust the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment. The specific steps are as follows: Based on the adjusted temperature and humidity environmental data obtained from the sensor network, identify whether the current dew point temperature is close to the target dew point temperature and obtain preliminary compensation requirements; Based on the preliminary compensation requirements, the temperature difference between the inside and outside of the palletizing structure is calculated using the following expression: ； in, is the temperature difference between inside and outside, is the internal temperature of the sealed stack, is the external ambient temperature; The dew point temperature compensation function is used to calculate the specific compensation parameters. The expression is: ; in, is the dew point temperature compensation function, is the current dew point temperature, is the target dew point temperature, is the temperature difference between inside and outside, is the dew point temperature compensation coefficient, is the temperature difference compensation coefficient; when near and When smaller, The value of tends to be stable, indicating that the current environment is close to the ideal state; On the contrary, when the dew point temperature deviates from the target value or the temperature difference between inside and outside is large, The value of will increase significantly, and a larger compensation amplitude is required; The calculated compensation parameters are used to regulate the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment.

5. The method for controlling the dryness and humidity of air in a sealed tobacco pile according to claim 4, wherein: The specific method of using the calculated compensation parameters to regulate the ventilation volume or heating power in the sealed stack is as follows: Based on the specific value given by the dew point temperature compensation function, the dew point temperature inside the sealed stack is controlled by adjusting the working state of the ventilation equipment or heating device to obtain a stable dew point temperature environment; Based on the adjusted new dew point temperature data, the sensor network continues to collect real-time data and feeds it back to the central control platform for further adjustment to ensure that the dew point temperature in the sealed stack always remains within the optimal range and a stable dew point temperature environment is obtained.

6. The method for controlling the dryness and humidity of air in a sealed tobacco leaf stack according to claim 5, wherein: Based on the stable dew point temperature environment, the continuous monitoring and early warning method is used to evaluate the environment, set the early warning threshold, and obtain the early warning result. The specific steps are as follows: Set warning thresholds based on real-time environmental parameters; The warning thresholds include an upper temperature limit, a lower temperature limit, an upper relative humidity limit, a lower relative humidity limit, and an upper dew point temperature limit and a lower dew point temperature limit; The early warning function is used to calculate the specific early warning status. The expression is: ; in, is the warning function, is the current ambient temperature, is the relative humidity, is the dew point temperature; When any environmental parameter exceeds the preset safety range, The value of 1 indicates that an alarm needs to be triggered; otherwise, A value of 0 indicates that the environment is within a safe range; Based on the early warning results, reports are generated regularly to summarize the frequency, type and handling of abnormalities, and obtain complete early warning management records.

7. A control system for controlling air dryness and humidity in a sealed tobacco leaf stack, based on the method for controlling air dryness and humidity in a sealed tobacco leaf stack according to any one of claims 1 to 6, characterized in that: include: Environmental monitoring module, sealing optimization module, temperature and humidity control module, dew point compensation module and early warning management module; The environmental monitoring module is used to measure and record the initial environmental parameters of the target sealed tobacco leaf stack, using a platinum resistance thermometer to measure temperature, a capacitive humidity sensor to measure relative humidity, and calculate the dew point temperature based on the data; the obtained initial temperature, relative humidity, and dew point temperature data are marked as environmental data; The sealing optimization module is used to optimize the sealing performance of the tobacco leaf sealed stack based on environmental data by adopting a multi-layer sealing structure optimization and humidity buffer layer setting method; The temperature and humidity control module is used to adjust the temperature and humidity in the sealed stack based on environmental data using a dynamic humidity control method; The dew point compensation module is used to dynamically adjust the ventilation volume or heating power in the sealed stack based on the adjusted temperature and humidity environment using a dew point temperature compensation mechanism; The early warning management module is used to continuously monitor and evaluate environmental conditions based on a stable dew point temperature environment, set early warning thresholds, and use early warning functions to determine whether the current environment exceeds a safe range.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for controlling the dryness and humidity of air in a sealed stack of tobacco leaves according to any one of claims 1 to 6 are implemented.

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