Method and system for controlling air dryness and humidity in tobacco leaf sealing stack

Abstract

The invention discloses a method and system for controlling air dryness and humidity in a tobacco leaf sealing stack, and relates to the technical field of air dryness and humidity control in the tobacco leaf sealing stack, and the method comprises the steps: measuring and recording initial environment parameters of a target tobacco leaf sealing stack, obtaining initial temperature, relative humidity and dew point temperature data, and marking the initial temperature, relative humidity and dew point temperature data as environment data; based on the initial environment data, a multi-layer sealing structure optimization and humidity buffer layer setting method is adopted to carry out optimization design on the sealing performance of the tobacco leaf sealing stack, and a sealing stack structure is obtained; based on the environment data, the temperature and the humidity in the sealed stack are adjusted by adopting a humidity dynamic regulation and control method, an optimal temperature and humidity adjustment scheme is calculated by utilizing an AI prediction model, and an adjusted temperature and humidity environment is obtained; and based on the adjusted temperature and humidity environment, dynamically adjusting the ventilation quantity or the 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 present invention relates to the technical field of air dryness and humidity control in sealed stacks of tobacco leaves, and particularly to a method and system for controlling air dryness and humidity in sealed stacks of tobacco leaves. Background Art

[0002] The technology of controlling air dryness and humidity in sealed stacks of tobacco leaves is a technology used to keep tobacco leaves in ideal temperature and humidity conditions during storage. Its main objective is to ensure that these environmental parameters are always within the optimal range by precisely monitoring and controlling the temperature, relative humidity, and dew point temperature inside the sealed stack, thereby minimizing the decline in the quality of tobacco leaves caused by environmental changes.

[0003] In the field of controlling air dryness and humidity in sealed stacks of tobacco leaves, the existing sealed stack structures cannot effectively prevent the penetration of external moisture, resulting in large fluctuations in internal humidity, affecting the preservation quality of tobacco leaves. Moreover, traditional temperature and humidity control methods often rely on manual intervention or simple automatic control systems, lacking the ability to predict environmental changes, making it difficult to achieve precise control. At the same time, the condensation phenomenon caused by the internal and external temperature difference 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 air dryness and humidity in a sealed stack of tobacco leaves to solve the problems that traditional temperature and humidity control methods often rely on manual intervention or simple automatic control systems, lack the ability to predict environmental changes, are difficult to achieve precise control, and the condensation phenomenon caused by the internal and external temperature difference may lead to humidity out of control, thereby affecting the quality of tobacco leaves.

[0006] 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 air dryness and humidity in a sealed stack of tobacco leaves, which includes: Measuring and recording the initial environmental parameters of the target sealed stack of tobacco leaves to obtain initial temperature, relative humidity, and dew point temperature data, marked as environmental data; Based on the initial environmental data, optimizing the sealing performance of the sealed stack of tobacco leaves by using the method of multi-layer sealing structure optimization and humidity buffer layer setting to obtain the sealed stack structure; Based on the environmental data, adjusting the temperature and humidity inside the sealed stack by using the humidity dynamic control method, and calculating the optimal temperature and humidity adjustment plan by using the AI prediction model to obtain the adjusted temperature and humidity environment; Based on the adjusted temperature and humidity environment, a dew point temperature compensation mechanism method is used to dynamically adjust the ventilation volume or heating power in the sealed stack, so as to obtain a stable dew point temperature environment; Based on the 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.

[0008] As a preferred solution of the method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to the present invention, wherein: measuring and recording the initial environmental parameters of the target sealed stack of tobacco leaves to obtain initial temperature, relative humidity and dew point temperature data, which are marked as environmental data, and the specific steps are as follows: Use a platinum resistance thermometer to measure the temperature inside and outside the target sealed stack of tobacco leaves for the first time to obtain the environmental temperature; Use a capacitive humidity sensor to measure the relative humidity at the same position to obtain the relative humidity; Based on the environmental temperature and relative humidity, calculate the dew point temperature, and the expression is: ; Wherein, is the dew point temperature, is the relative humidity, is the current environmental temperature, is a constant, is a constant; Use a data recording device to record the environmental temperature, relative humidity and the calculated dew point temperature, and based on the measurement and calculation results, obtain environmental data.

[0009] As a preferred solution of the method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to the present invention, wherein: based on the initial environmental data, a multi-layer sealing structure optimization and humidity buffer layer setting method is used to optimize the sealing performance of the sealed stack of tobacco leaves to obtain a sealed stack structure, and the specific steps are as follows: Use a high molecular composite material to wrap the outer layer of the sealed stack of tobacco leaves, and select the high molecular composite material based on the temperature and relative humidity in the initial environmental data to obtain a preliminary sealing layer; Use the intelligent humidity-adjusting film technology to add a humidity-adjusting film layer inside the preliminary sealing layer, and select the intelligent humidity-adjusting film material based on the dew point temperature in the initial environmental data to obtain an enhanced sealing layer; Based on the enhanced sealing layer, set a humidity buffer layer inside it, and fill it with a high-efficiency adsorbent or humidity-adjusting material to obtain a complete humidity buffer layer; Use a sensor network to monitor the temperature and humidity in the humidity buffer layer, and install temperature and humidity sensors based on the position and material characteristics of the humidity buffer layer to obtain real-time feedback data; Based on real-time feedback data, the material distribution of the humidity buffer layer is finely adjusted to obtain a sealed stack structure.

[0010] As a preferred embodiment of the method for controlling the air dryness and humidity in the sealed tobacco stack of the present invention, wherein: based on the environmental data, a humidity dynamic regulation method is adopted to adjust the temperature and humidity in the sealed stack, and an optimal temperature and humidity adjustment plan is calculated by using an AI prediction model to obtain an adjusted temperature and humidity environment. The specific steps are as follows: The central control platform is used to analyze and process the real-time temperature, relative humidity, and dew point temperature data; Based on the environmental data obtained from the sensor network, the current environmental state is identified through the built-in data analysis algorithm to obtain a preliminary adjustment requirement; Based on the preliminary adjustment requirement, a pre-trained AI prediction model is called to predict the optimal temperature and humidity settings within a certain period in the future; The optimization function in the AI prediction model is used to calculate the specific adjustment parameters to obtain a temperature and humidity adjustment plan. The expression is: ; Wherein, is the optimization function, is the current environmental 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 adjustment coefficient, is the humidity adjustment coefficient, is the dew point temperature adjustment coefficient; 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.

[0011] As a preferred embodiment of the method for controlling the air dryness and humidity in the sealed tobacco stack of the present invention, wherein: based on the adjusted temperature and humidity environment, a dew point temperature compensation mechanism method is adopted 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 environment data obtained from the sensor network, it is identified whether the current dew point temperature is close to the target dew point temperature to obtain a preliminary compensation requirement; Based on the preliminary compensation requirement, the temperature difference between the inside and outside of the stack structure is calculated. The expression is: ; Wherein, is the temperature difference between the inside and outside, is the internal temperature of the sealed stack, is the external environmental temperature; The specific compensation parameters are calculated using the dew point temperature compensation function, and the expression is: ; Among them, 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 is close to and is relatively small, 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 significantly 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 ventilation volume or heating power in the sealed stack is regulated using the calculated compensation parameters to obtain a stable dew point temperature environment.

[0012] As a preferred embodiment of the method for controlling the air dryness and humidity in the tobacco sealed stack of the present invention, wherein: the regulation of the ventilation volume or heating power in the sealed stack using the calculated compensation parameters is specifically: Based on the specific values given by the dew point temperature compensation function, the working state of the ventilation equipment or heating device is adjusted to achieve the control of the dew point temperature inside the sealed stack and 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 feedbacks it to the central control platform for further adjustment to ensure that the dew point temperature inside the sealed stack always remains within the optimal range and obtain a stable dew point temperature environment.

[0013] As a preferred embodiment of the method for controlling the air dryness and humidity in the tobacco sealed stack of the present invention, wherein: based on the stable dew point temperature environment, the environment is evaluated using the continuous monitoring and warning method, the warning threshold is set, and the warning result is obtained. The specific steps are: Based on the real-time environmental parameters, the warning threshold is set; The warning threshold includes the upper temperature limit, lower temperature limit, upper relative humidity limit, lower relative humidity limit, as well as the upper dew point temperature limit and lower dew point temperature limit; The specific warning state is calculated using the warning function, and the expression is: ; Among them, is the warning function, is the current ambient temperature, is the relative humidity, is the dew point temperature; When any of the environmental parameters exceeds the preset safety range, the value of is 1, indicating that an alarm needs to be triggered; Otherwise, the value of is 0, indicating that the environment is within the safe range; Based on the early warning results, reports are generated regularly to summarize the frequency, type, and handling of anomalies, obtaining a complete early warning management record.

[0014] In a second aspect, the present invention provides an air dryness and humidity control system for a sealed stack of tobacco leaves, including: an environmental monitoring module, a sealing optimization module, a temperature and humidity regulation module, a dew point compensation module, and an early warning management module; The environmental monitoring module is used to measure and record the initial environmental parameters of the target sealed stack of tobacco leaves, measure the temperature using a platinum resistance thermometer, measure the relative humidity using a capacitive humidity sensor, and calculate the dew point temperature based on the data; The sealing optimization module is used to optimize the sealing performance of the sealed stack of tobacco leaves based on the initial environmental data using a multi-layer sealing structure optimization and humidity buffer layer setting method; The temperature and humidity regulation module is used to adjust the temperature and humidity inside the sealed stack using a humidity dynamic regulation method based on the environmental data; The dew point compensation module is used to dynamically adjust the ventilation volume or heating power inside the sealed stack using a dew point temperature compensation mechanism method based on the adjusted temperature and humidity environment; The early warning management module is used to continuously monitor and evaluate the environmental conditions based on a stable dew point temperature environment, set an early warning threshold, and use an early warning function to determine whether the current environment exceeds the safe range.

[0015] In a third aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and: when the computer program is executed by the processor, any step of the air dryness and humidity control method for a sealed stack of tobacco leaves as described in the first aspect of the present invention is implemented.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and: when the computer program is executed by the processor, any step of the air dryness and humidity control method for a sealed stack of tobacco leaves as described in the first aspect of the present invention is implemented.

[0017] The beneficial effects of the present invention are as follows: By optimizing the sealing performance of the sealed stack of tobacco leaves through the method of multi-layer sealing structure optimization and humidity buffer layer setting based on the initial environmental data, 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 constancy of the internal humidity through the adjustment function of the humidity buffer layer, thereby reducing the risk of quality change of tobacco leaves caused by humidity fluctuations, improving the safety of storage. By adjusting the temperature and humidity in the sealed stack through the method of dynamic humidity control based on environmental data, and using the AI prediction model to calculate the optimal temperature and humidity adjustment plan, precise temperature and humidity control is achieved. The dynamic control mechanism ensures the precise control of temperature and humidity, avoiding the problem of tobacco leaf deterioration caused by temperature and humidity fluctuations. The application of the AI model makes the control more intelligent and efficient, reducing the need for manual intervention and improving the automation level of the method. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0019] Figure 1 It is a flowchart of the method for controlling the air dryness and humidity in the sealed stack of tobacco leaves in Embodiment 1.

[0020] Figure 2 It is a schematic diagram of the air dryness and humidity control system in the sealed stack of tobacco leaves in Embodiment 1. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings of the specification.

[0022] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0023] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0024] Embodiment 1, refer to Figure 1And Figure 2 , which is an embodiment of the present invention. This embodiment provides a method for controlling the air dryness and humidity inside a sealed stack of tobacco leaves, including:

[0025] S1. Measure and record the initial environmental parameters of the target sealed stack of tobacco leaves to obtain the initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data; Furthermore, use a platinum resistance thermometer to initially measure the temperature inside and outside the target sealed stack of tobacco leaves to obtain the environmental temperature; Use a capacitive humidity sensor to measure the relative humidity at the same position to obtain the relative humidity; Based on the environmental temperature and relative humidity, calculate the dew point temperature. The expression is: ; Wherein, is the dew point temperature, is the relative humidity, is the current environmental temperature, is a constant, is a constant; Use a data recording device to record the environmental temperature, relative humidity, and calculated dew point temperature, and based on the measurement and calculation results, obtain the environmental data; 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. High-precision sensors not only ensure the accuracy of the data but also can reflect environmental changes in real time, ensuring that the adjustment measures in the subsequent steps are based on real and detailed environmental information.

[0026] S2. Based on the initial environmental data, use the multi-layer sealing structure optimization and humidity buffer layer setting method to optimize the sealing performance of the sealed stack of tobacco leaves to obtain the sealed stack structure; Furthermore, use a polymer composite material to wrap the outer layer of the sealed stack of tobacco leaves. Based on the temperature and relative humidity in the initial environmental data, select the polymer composite material to obtain a preliminary sealing layer; Use the intelligent humidity-adjusting film technology to add a humidity-adjusting film inside the preliminary sealing layer. Based on the dew point temperature in the initial environmental data, select the intelligent humidity-adjusting film material to obtain an enhanced sealing layer; Based on the enhanced sealing layer, set a humidity buffer layer inside it, fill it with a high-efficiency adsorbent or humidity-adjusting material to obtain a complete humidity buffer layer; Use a sensor network to monitor the temperature and humidity inside the humidity buffer layer. Based on the position and material characteristics of the humidity buffer layer, install temperature and humidity sensors to obtain real-time feedback data; Based on the real-time feedback data, finely adjust the material distribution of the humidity buffer layer to obtain the sealed stack structure; It should be noted that the optimization of the multi-layer sealing structure and the method of setting the humidity buffer layer significantly improve the overall sealing performance of the sealed stack and the internal humidity stability. By selecting appropriate polymer composite materials and intelligent humidity control film technology, and setting a humidity buffer layer inside, it is possible to effectively reduce the penetration of external moisture and maintain a stable internal humidity environment at the same time. This is crucial for the long-term storage of tobacco leaves and can significantly reduce the risk of quality loss caused by environmental changes.

[0027] S3. Based on the environmental data, adopt the humidity dynamic regulation method to adjust the temperature and humidity inside the sealed stack, use the AI prediction model to calculate the optimal temperature and humidity adjustment plan, and obtain the adjusted temperature and humidity environment; Furthermore, use the central control platform to analyze and process the real-time temperature, relative humidity and dew point temperature data; Based on the environmental data obtained from the sensor network, identify the current environmental state through the built-in data analysis algorithm to obtain the preliminary adjustment requirements; Based on the preliminary adjustment requirements, call the pre-trained AI prediction model to predict the best temperature and humidity settings within a certain period of time in the future; Use the optimization function in the AI prediction model to calculate the specific adjustment parameters to obtain the temperature and humidity adjustment plan. The expression is: ; Among them, is the optimization function, is the current environmental 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 adjustment coefficient, is the humidity adjustment coefficient, is the dew point temperature adjustment coefficient; Use the calculated adjustment parameters to regulate the temperature and humidity inside the sealed stack structure to obtain the adjusted temperature and humidity environment; It should be noted that using the AI prediction model for temperature and humidity dynamic regulation not only improves the accuracy and response speed of the regulation, but also can predict the best temperature and humidity settings in the future according to historical data and the current environmental state, so as to achieve more intelligent control. The method not only reduces the need for manual intervention, but also can more effectively respond to sudden environmental changes, ensure that the temperature and humidity inside the sealed stack are always in an ideal state, and maximize the protection of the quality of tobacco leaves.

[0028] S4. Based on the adjusted temperature and humidity environment, adopt the dew point temperature compensation mechanism method to dynamically adjust the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment; Further, based on the adjusted temperature and humidity environment data obtained from the sensor network, identify whether the current dew point temperature is close to the target dew point temperature to obtain a preliminary compensation requirement; Based on the preliminary compensation requirement, calculate the temperature difference between the inside and outside of the pallet structure. The expression is: ; Where, is the temperature difference between the inside and outside, is the temperature inside the sealed stack, is the external environment temperature; Adopt the dew point temperature compensation function to calculate the specific compensation parameters. The expression is: ; Where, is the dew point temperature compensation function, is the current dew point temperature, is the target dew point temperature, is the temperature difference between the inside and outside, is the dew point temperature compensation coefficient, is the temperature difference compensation coefficient; When is close to and is relatively small, tends to be stable, indicating that the current environment is close to the ideal state; On the contrary, when the dew point temperature deviates significantly from the target value or the temperature difference between the inside and outside is large, will increase significantly, and a larger compensation amplitude is required; Use the calculated compensation parameters to regulate the ventilation volume or heating power in the sealed stack to obtain a stable dew point temperature environment; Based on the specific values given by the dew point temperature compensation function, by adjusting the working state of the ventilation equipment or heating device, realize the control of the dew point temperature inside the sealed stack to obtain a stable dew point temperature environment; Based on the adjusted new dew point temperature data, continue to use the sensor network to collect real-time data and feedback it to the central control platform for further adjustment to ensure that the dew point temperature inside the sealed stack always remains within the optimal range to obtain a stable dew point temperature environment; It should be noted that the dew point temperature compensation mechanism effectively avoids the occurrence of condensation by precisely calculating the temperature difference between the inside and outside and dynamically adjusting the ventilation volume or heating power. This mechanism can not only quickly respond to environmental changes but also maintain a stable state when the dew point temperature approaches the target value, preventing the problem of humidity out of control 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.

[0029] S5. Based on a stable dew point temperature environment, use continuous monitoring and early warning methods to evaluate the environment, set early warning thresholds, and obtain early warning results. Furthermore, based on real-time environmental parameters, set early warning thresholds. The early warning thresholds include upper temperature limit, lower temperature limit, upper relative humidity limit, lower relative humidity limit, upper dew point temperature limit, and lower dew point temperature limit. Use an early warning function to calculate the specific early warning status, and the expression is: ; Where, is the early warning function, is the current environmental temperature, is the relative humidity, is the dew point temperature; When any environmental parameter exceeds the preset safety range, The value of is 1, indicating that an alarm needs to be triggered; Otherwise, The value of is 0, indicating that the environment is within the safety range; Based on the early warning results, generate reports regularly to summarize the frequency, type, and handling situation of anomalies, and obtain a complete early warning management record. It should be noted that the continuous monitoring and early warning system can issue alarms in a timely manner when environmental parameters exceed the safety range by setting reasonable early warning thresholds, reminding managers to take corresponding measures. The reports generated regularly summarize the frequency, type, and handling situation of anomalies, which helps to improve management and optimize system settings to ensure that the environment inside the sealed stack is always in the best state. In addition, this preventive monitoring method greatly reduces potential risks and ensures the safe storage of tobacco leaves.

[0030] This embodiment also provides an air dryness and humidity control system inside a tobacco leaf sealed stack, including: An environmental monitoring module, a sealing optimization module, a temperature and humidity control module, a dew point compensation module, and an early warning management module; The environmental monitoring module is used to measure and record the initial environmental parameters of the target tobacco leaf sealed stack, measure the temperature with a platinum resistance thermometer, measure the relative humidity with a capacitive humidity sensor, and calculate the dew point temperature based on the data. A sealing optimization module, which is used to optimize the sealing performance of a sealed tobacco stack based on initial environmental data by using a multi-layer sealing structure optimization and humidity buffer layer setting method; A temperature and humidity control module, which is used to adjust the temperature and humidity in the sealed stack based on environmental data by using a humidity dynamic control method; A dew point compensation module, which is used to dynamically adjust the ventilation volume or heating power in the sealed stack based on the adjusted temperature and humidity environment by using a dew point temperature compensation mechanism method; An early warning management module, which is used to continuously monitor and evaluate the environmental conditions based on a stable dew point temperature environment, set an early warning threshold, and use an early warning function to determine whether the current environment exceeds the safe range.

[0031] This embodiment also provides a computer device, which is applicable to the situation of the air dryness and humidity control method in a sealed tobacco stack, and includes: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the air dryness and humidity control method in a sealed tobacco stack as proposed in the above embodiment.

[0032] The computer device can be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad set on the shell of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0033] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the method for controlling the air dryness and humidity in the sealed tobacco stack 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 (Static Random Access Memory, abbreviated as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, abbreviated as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, abbreviated as EPROM), programmable read-only memory (Programmable Red-Only Memory, abbreviated as PROM), read-only memory (Read-Only Memory, abbreviated as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0034] In summary, based on the initial environmental data, the present invention optimizes the sealing performance of the sealed tobacco stack by using the multi-layer sealing structure optimization and humidity buffer layer setting method, achieving an enhanced sealing effect and internal humidity stability. The enhanced sealing performance not only prevents the influence of external moisture, but also maintains the constancy of the internal humidity through the adjustment function of the humidity buffer layer, thereby reducing the risk of quality change of tobacco caused by humidity fluctuations and improving the storage safety. By adjusting the temperature and humidity in the sealed stack based on environmental data using the humidity dynamic regulation method and calculating the optimal temperature and humidity adjustment plan using the AI prediction model, precise temperature and humidity control is achieved. The dynamic regulation mechanism ensures the 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 regulation more intelligent and efficient, reducing the need for manual intervention and improving the automation level of the method.

[0035] 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 them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for controlling the air dryness and humidity inside a sealed stack of tobacco leaves, characterized in that: Including: Measure and record the initial environmental parameters of the target tobacco sealed stack to obtain the initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data; Based on the initial environmental data, optimize the sealing performance of the tobacco sealed stack by using the multi-layer sealing structure optimization and humidity buffer layer setting method to obtain the sealed stack structure; Based on the environmental data, adjust the temperature and humidity in the sealed stack by using the humidity dynamic control method, and calculate the optimal temperature and humidity adjustment plan by using the AI prediction model to obtain the adjusted temperature and humidity environment; Based on the adjusted temperature and humidity environment, dynamically adjust the ventilation volume or heating power in the sealed stack by using the dew point temperature compensation mechanism method to obtain a stable dew point temperature environment; Based on the stable dew point temperature environment, evaluate the environment by using the continuous monitoring and early warning method, set the early warning threshold, and obtain the early warning result.

2. The method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to claim 1, characterized in that: The specific steps for measuring and recording the initial environmental parameters of the target tobacco sealed stack to obtain the initial temperature, relative humidity, and dew point temperature data, which are marked as environmental data, are as follows: Use a platinum resistance thermometer to measure the temperature inside and outside the target tobacco sealed stack for the first time to obtain the environmental temperature; Use a capacitive humidity sensor to measure the relative humidity at the same position to obtain the relative humidity; Based on the environmental temperature and relative humidity, calculate the dew point temperature, and the expression is: ; Among them, is the dew point temperature, is the relative humidity, is the current ambient temperature, is a constant, is a constant; Use a data recording device to record the environmental temperature, relative humidity, and the calculated dew point temperature, and obtain the environmental data based on the measurement and calculation results.

3. The method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to claim 2, characterized in that: The specific steps for optimizing the sealing performance of the tobacco sealed stack by using the multi-layer sealing structure optimization and humidity buffer layer setting method based on the initial environmental data to obtain the sealed stack structure are as follows: Wrap the outer layer of the tobacco sealed stack with a polymer composite material, and select the polymer composite material based on the temperature and relative humidity in the initial environmental data to obtain a preliminary sealing layer; Use the intelligent humidity-adjusting film technology to add a humidity-adjusting film inside the preliminary sealing layer, and select the intelligent humidity-adjusting film material based on the dew point temperature in the initial environmental data to obtain an enhanced sealing layer; Based on the enhanced sealing layer, set a humidity buffer layer inside it and fill it with a high-efficiency adsorbent or humidity-adjusting material to obtain a complete humidity buffer layer; Use a sensor network to monitor the temperature and humidity in the humidity buffer layer, and install temperature and humidity sensors based on the position and material characteristics of the humidity buffer layer to obtain real-time feedback data; Based on the real-time feedback data, finely adjust the material distribution of the humidity buffer layer to obtain the sealed stack structure.

4. The method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to claim 3, wherein: The specific steps for adjusting the temperature and humidity in the sealed stack by using the humidity dynamic control method based on the environmental data, calculating the optimal temperature and humidity adjustment plan by using the AI prediction model, and obtaining the adjusted temperature and humidity environment are as follows: Use a central control platform to analyze and process the real-time temperature, relative humidity, and dew point temperature data; Based on the environmental data obtained from the sensor network, identify the current environmental state through the built-in data analysis algorithm to obtain the preliminary adjustment requirements; Based on the preliminary adjustment requirements, call the pre-trained AI prediction model to predict the best temperature and humidity settings for the next period of time; Calculate specific adjustment parameters using the optimization function in the AI prediction model to obtain a temperature and humidity adjustment plan, with the expression: ; Among them, is the optimization 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 adjustment coefficient, is the humidity adjustment coefficient, is the dew point temperature adjustment coefficient; Use the calculated adjustment parameters to control the temperature and humidity inside the sealed stack structure to obtain an adjusted temperature and humidity environment.

5. The method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to claim 4, wherein: Based on the adjusted temperature and humidity environment, use the dew point temperature compensation mechanism method to dynamically adjust the ventilation volume or heating power inside the sealed stack to obtain a stable dew point temperature environment. The specific steps are as follows: Based on the adjusted temperature and humidity environment data obtained from the sensor network, identify whether the current dew point temperature is close to the target dew point temperature to obtain a preliminary compensation requirement. Based on the preliminary compensation requirement, calculate the temperature difference between the inside and outside of the stack structure, with the expression: ； wherein, is the temperature difference between inside and outside, is the temperature inside the sealed stack, is the external ambient temperature; Use the dew point temperature compensation function to calculate specific compensation parameters, with the expression: ; Among them, 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 approaches and is relatively small, the value tends to be stable, indicating that the current environment is approaching the ideal state; Conversely, when the dew point temperature deviates significantly from the target value or the temperature difference between the inside and outside is large, the value will increase significantly, and a larger compensation amplitude is required. Use the calculated compensation parameters to control the ventilation volume or heating power inside the sealed stack to obtain a stable dew point temperature environment.

6. The method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to claim 5, characterized in that: The specific operation of using the calculated compensation parameters to control the ventilation volume or heating power inside the sealed stack is as follows: Based on the specific values given by the dew point temperature compensation function, adjust the working state of the ventilation equipment or heating device to achieve control of the dew point temperature inside the sealed stack and obtain a stable dew point temperature environment. Based on the adjusted new dew point temperature data, continue to use the sensor network to collect real-time data and feedback it to the central control platform for further adjustment to ensure that the dew point temperature inside the sealed stack always remains within the optimal range to obtain a stable dew point temperature environment.

7. The method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to claim 6, characterized in that: Based on the stable dew point temperature environment, use the continuous monitoring and warning method to evaluate the environment, set warning thresholds, and obtain warning results. The specific steps are as follows: Set warning thresholds based on real-time environmental parameters. The warning thresholds include the upper temperature limit, lower temperature limit, upper relative humidity limit, lower relative humidity limit, upper dew point temperature limit, and lower dew point temperature limit. Use the warning function to calculate specific warning states, with the expression: ; Among them, 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 is 1, indicating that an alarm needs to be triggered; Otherwise, The value is 0, indicating that the environment is within the safe range; Based on the warning results, generate reports regularly to summarize the frequency, types, and handling situations of anomalies to obtain a complete warning management record.

8. An air dryness and humidity control system in a sealed stack of tobacco leaves, based on the air dryness and humidity control method in any one of claims 1 to 7, characterized in that: Including: An environmental monitoring module, a sealing optimization module, a temperature and humidity control module, a dew point compensation module, and a warning management module. The environmental monitoring module is used to measure and record the initial environmental parameters of the target tobacco sealed stack, measure the temperature using a platinum resistance thermometer, measure the relative humidity using a capacitive humidity sensor, and calculate the dew point temperature based on the data. The sealing optimization module is used to optimize the sealing performance of the tobacco sealed stack based on the initial environmental data using the 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 inside the sealed stack based on the environmental data using the humidity dynamic control method. The dew point compensation module is used to dynamically adjust the ventilation volume or heating power inside the sealed stack based on the adjusted temperature and humidity environment using the dew point temperature compensation mechanism method. The warning management module is used to continuously monitor and evaluate the environmental conditions based on the stable dew point temperature environment, set warning thresholds, and use the warning function to determine whether the current environment exceeds the safe range.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that: When the processor executes the computer program, the steps of the method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the method for controlling the air dryness and humidity in the sealed stack of tobacco leaves according to any one of claims 1 to 7 are implemented.

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