Intelligent temperature and humidity regulation and control method for file cabinet

Abstract

The invention discloses an intelligent temperature and humidity regulation and control method for a file cabinet, and relates to the technical field of file safekeeping, a transport delay model associated with a storage quantity is introduced, the time difference between a measurement reading and a core state of a file can be dynamically estimated, and control delay is further compensated through additional adjustment time, so that the storage quantity of the file cabinet is improved. Therefore, regulation and control thoroughness and depth are ensured. And moreover, when the cabinet is in a high load state, a mode of automatically switching to a pulse type air supply strategy is adopted, and an air flow dead angle is actively broken through by utilizing pressure pulse, so that the permeation and exchange efficiency of the adjusted air under dense stacking is greatly improved, and deeper and more uniform accurate control on the environment in the whole cabinet is also realized.

Description

Technical Field

[0001] This invention belongs to the field of archive preservation technology, and specifically relates to an intelligent temperature and humidity control method for archive cabinets. Background Technology

[0002] Long-term safe preservation of various types of archives, including paper and film, requires extremely stringent temperature and humidity control. To achieve precise regulation, existing technologies typically employ advanced sensing methods such as near-infrared spectroscopy. These methods monitor a proxy module composed of clean archival substrates to acquire parameters reflecting the material's state in real time, such as moisture content, and use this information to drive the temperature and humidity control system. In practice, it has been found that the airflow pattern inside a filing cabinet changes significantly with the number of archives stored. When the storage volume is low, the cabinet space is open and air circulation is uniform; however, when the storage volume is high, the large stack of archives creates a complex internal structure. This change in the internal physical environment caused by the storage volume directly affects the efficiency of heat and mass exchange from the air vents to any location within the cabinet. Existing control technologies have significant limitations under high-density storage conditions. Their over-reliance on sensor readings from a single fixed location leads to severely insufficient measurement representativeness. When the sensor indicates that the environment meets standards, the state of the core area of ​​the archives deep within the stack is actually far from the target, creating a control blind spot. Furthermore, the continuous air supply method used in existing technologies makes it easy for regulated air to escape along the priority channel of least resistance. This not only fails to effectively penetrate the airflow dead zones formed by the dense accumulation of files, but also results in significant energy waste and a decrease in control efficiency. Summary of the Invention

[0003] In view of the deficiencies in the prior art, the present invention provides an intelligent temperature and humidity control method for filing cabinets to solve the above-mentioned technical problems.

[0004] A method for intelligent temperature and humidity control in filing cabinets includes the following steps: Obtain the storage quantity parameter in the filing cabinet, and compare the storage quantity parameter with a preset quantity threshold; By installing material state sensors inside the filing cabinet, material state parameters that characterize the state of the archival materials are monitored in real time. When the storage quantity parameter is higher than the quantity threshold, a first control strategy is executed. The first control strategy specifically includes: using a pulsed air supply method to deliver regulated air into the filing cabinet, and determining the duration of the pulsed air supply based on a transport delay model associated with the storage quantity parameter. When the storage quantity parameter is not higher than the quantity threshold, a second control strategy is executed. The second control strategy specifically includes: using a continuous air supply method to deliver regulated air into the filing cabinet.

[0005] Preferably, the storage quantity parameter is obtained by scanning the files in the filing cabinet with radio frequency identification or barcode and then statistically analyzing the scanning results.

[0006] Preferably, the material state sensor is a near-infrared spectroscopy analysis probe. Its monitoring target is the agent module, which is made of pure archival material and is set inside the filing cabinet.

[0007] Preferably, the material state parameter is: water content data obtained by analyzing the characteristic absorption peaks of the proxy module in a specific band of the near-infrared spectrum.

[0008] Preferably, the transport delay model is used to estimate the transport time difference required for the adjusted air to be transported from the air outlet to the core area of ​​the archive stack in the filing cabinet, based on the currently acquired storage quantity parameter.

[0009] Preferably, the method for establishing the transport delay model includes the following steps: Using computational fluid dynamics software, a three-dimensional simulation model of the filing cabinet was established under multiple different storage quantity parameters. For each of the aforementioned storage quantity parameters, an unsteady-state simulation is performed on the three-dimensional simulation model to obtain the time required for the tracer gas to be transported from the air outlet to the preset core area of ​​the archive stack, thereby obtaining a set of data pairs consisting of the storage quantity parameters and their corresponding transport time differences. The data pairs are subjected to curve fitting to generate a mathematical function that takes the storage quantity parameter as input and the transport time difference as output, and this mathematical function is used as the transport delay model.

[0010] Preferably, the transport delay model is implemented as a strategy parameter lookup table; The strategy parameter lookup table predefines the mapping relationship between different value ranges of the storage quantity parameter and a set of corresponding control parameters.

[0011] Preferably, the control parameters include at least: Additional adjustment time as compensation value for the transport time difference, used to define the pulsation period of the pulsating air supply and the duty cycle of the pulsation period.

[0012] Preferably, the method for determining the duration of adjustment in the first control strategy is as follows: The first time required to adjust the material state parameters monitored by the material state sensor to a preset target value is added to the additional adjustment time obtained from the strategy parameter lookup table based on the current storage quantity parameter to obtain the total continuous adjustment time.

[0013] Preferably, the pulsed air supply method is specifically implemented as follows: Based on the pulse cycle and duty cycle corresponding to the current storage quantity parameter in the strategy parameter lookup table, the strong wind delivery phase and the pause delivery phase are executed alternately.

[0014] The beneficial effects of this invention are as follows: It introduces a transport delay model associated with the storage quantity, which can dynamically estimate the time difference between the measured reading and the core state of the archives. Furthermore, by adding time compensation to control lag, it ensures the thoroughness and depth of regulation. Moreover, when under high load, it automatically switches to a pulsed airflow strategy, actively breaking airflow dead zones with pressure pulses. This not only greatly improves the penetration and exchange efficiency of regulated air under dense stacking but also achieves deeper and more uniform precise control of the entire cabinet environment. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram illustrating the steps of an intelligent temperature and humidity control method for filing cabinets provided by the present invention. Detailed Implementation

[0017] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0018] The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Of course, these are merely examples and are not intended to limit the present invention.

[0019] The embodiments of the invention will now be described in detail with reference to the accompanying drawings.

[0020] like Figure 1 As shown, an intelligent temperature and humidity control method for filing cabinets includes the following steps: Obtain the storage quantity parameter in the filing cabinet, and compare the storage quantity parameter with a preset quantity threshold; By installing material state sensors inside the filing cabinet, material state parameters that characterize the state of the archival materials are monitored in real time. When the storage quantity parameter is higher than the quantity threshold, a first control strategy is executed. The first control strategy specifically includes: using a pulsed air supply method to deliver regulated air into the filing cabinet, and determining the duration of the pulsed air supply based on a transport delay model associated with the storage quantity parameter. When the storage quantity parameter is not higher than the quantity threshold, a second control strategy is executed. The second control strategy specifically includes: using a continuous air supply method to deliver regulated air into the filing cabinet.

[0021] When the controller determines through RFID scanning that the current storage quantity exceeds a preset threshold—for example, when the number of archives stored reaches 60% of the maximum capacity of the filing cabinet—it automatically executes the first control strategy to address the issues of insufficient measurement representativeness and difficulty in airflow penetration under high-density storage. The controller initiates pulsed airflow. This airflow process is not continuous but rather executes a cycle, for example, with a 10-minute period and a 30% duty cycle: 3 minutes of strong airflow followed by a 7-minute pause. The principle behind this design is that the strong airflow phase establishes positive pressure within the cabinet, while during the pause, this natural pressure equalization process drives airflow to penetrate into the core area of ​​the previously high-resistance archive accumulation. This actively created pressure gradient forces convection and diffusion that continuous airflow could not achieve, thus completely eliminating airflow dead zones. Simultaneously with the pulsed airflow, the controller begins calculating the duration of the continuous adjustment. This timeframe consists of two parts: first, the material state sensor detects that the agent module parameters have reached the preset target value, such as the time T1 required for the moisture content to drop to 8%; second, the controller, based on the current storage quantity parameter, looks up an additional adjustment time T2 from the preset transport delay model or its corresponding strategy parameter lookup table, for example, 110 minutes. The total continuous adjustment time is T1 + T2. The principle of this design is to quantify the state lag between the sensor location and the core area of ​​the archive stack, and actively compensate for this measurement lag by using the additional time T2. By combining the physical means of pulsed air supply with the time compensation means of the transport delay model, it is ensured that the conditioned air not only physically reaches the core area of ​​the archive stack but also has sufficient time to play a role, achieving deep and uniform adjustment of the entire environment inside the filing cabinet, especially the most difficult-to-control areas, fundamentally guaranteeing the preservation safety of all archival materials under high-density storage.

[0022] In this invention, the core region of the archive stack refers to the area within the cabinet where heat and mass exchange is most difficult under high load conditions. In a preferred embodiment, the location of this region is precisely determined through computational fluid dynamics simulation of the fully loaded archive cabinet, specifically the point where the tracer gas concentration last reaches the threshold in the simulation. In another embodiment, for archive cabinets with typical vertical airflow organization, this region can be approximated as the area located at the geometric center of the middle shelf.

[0023] In practice, the regulated air does not refer to air with fixed temperature and humidity values, but rather is dynamically generated by the temperature and humidity control unit based on real-time adjustment needs. Its core feature is that there is a preset, directional difference between its temperature and humidity parameters and the current environmental parameters inside the cabinet, thus enabling it to act as an effective working medium to change the environment inside the cabinet. In a preferred embodiment, when performing dehumidification, the adjustment margin is set to a range of 10%RH to 20%RH, meaning the relative humidity of the regulated air is at least 10%RH lower than the target humidity. For example, when the target humidity is 50%RH, the delivered air humidity will not exceed 40%RH. Similarly, when performing humidification, cooling, or heating tasks, the relative humidity or temperature of the regulated air also has a preset adjustment margin within the opposite direction to the target value to ensure the efficiency of the control process.

[0024] More specifically, the storage quantity parameter is obtained by scanning the files in the filing cabinet with radio frequency identification or barcode and then statistically analyzing the scanning results.

[0025] In one implementation, each file or file box is affixed with a unique identification tag, and the filing cabinet integrates a planar antenna array and a reader / writer. When a cabinet door is closed, the controller immediately activates the reader / writer to perform a high-speed inventory of all tags inside the cabinet, comparing the total number of unique IDs with the preset maximum cabinet capacity to instantly calculate the dimensionless storage quantity parameter. In another specific embodiment, each shelf of the filing cabinet is equipped with an infrared barcode scanner array. When an operator deposits or retrieves a file labeled with a barcode and closes the cabinet door, the controller drives the scanner array to perform a linear scan of each shelf, updating the storage quantity parameter by increasing or decreasing the inventory count in real time. This design uses automated, contactless digital identification technology to replace traditional manual estimation or periodic inventory checks, achieving real-time and accurate quantification of the physical load status inside the cabinet. This eliminates the problem of incorrect or delayed switching of control strategies due to human judgment errors or delays, ensuring that the present invention can correctly switch between continuous air supply and pulsed air supply and delay compensation modes in the first instance according to the actual physical load, thus forming an indispensable prerequisite for the entire intelligent control closed-loop logic.

[0026] More specifically, the material state sensor is a near-infrared spectroscopy analysis probe. Its monitoring target is the agent module, which is made of pure archival material and is set inside the filing cabinet.

[0027] Among them, the proxy module, composed of pure archival substrate, refers to a standardized physical sample placed inside the filing cabinet, whose physical and chemical properties are completely identical or highly similar to the archives being preserved. The core function of the proxy module is to act as a stable and repeatable substitute for the preserved archives, accurately representing the true physical state of similar archives in the current environment through changes in its own material state parameters.

[0028] More specifically, the material state parameter is: water content data obtained by analyzing the characteristic absorption peaks of the proxy module in a specific band of the near-infrared spectrum.

[0029] In one specific embodiment, the controller drives a near-infrared spectral analysis probe fixed inside the cabinet to emit near-infrared light with a center wavelength of 1450nm. This beam of light illuminates the surface of the proxy module, which is made of pure archival paper. The controller obtains the absolute water content data of the proxy module in real time by analyzing the attenuation of the characteristic absorption peaks caused by the vibration of the OH bonds of water molecules inside the module, which are received by the spectral probe.

[0030] In another specific embodiment, the agent module is positioned in a location where the airflow in the main pipeline inside the cabinet can make full contact but is not where the wind speed is strongest, in order to simulate the general response state of the outer layer of the archive stack.

[0031] This design employs spectral analysis technology to achieve non-contact, high-precision online monitoring of the moisture content of solid materials, thereby anchoring the control target directly to the material properties rather than the environmental state susceptible to airflow disturbances. It provides a high-fidelity feedback signal source for the entire control system, eliminating the hysteresis and bias caused by traditional temperature and humidity sensors measuring air, ensuring the safe condition of the archived materials rather than simply ensuring the air reaches the set value. This provides the most reliable data foundation for subsequent transport delay compensation and the execution of pulsed air supply strategies.

[0032] More specifically, the transport delay model is used to estimate the transport time difference required for the adjusted air to be transported from the air outlet to the core area of ​​the archive stack in the filing cabinet, based on the currently acquired storage quantity parameter.

[0033] In one specific embodiment, the model is implemented as a two-dimensional lookup table stored in the controller's non-volatile memory. This table is generated during the product design phase through multiple offline computational fluid dynamics simulations: full-load simulations are performed for different storage quantity parameters, such as from 10% to 100%, in 20% increments, and the time required for the concentration of tracer gas in the core region of the archive stack to reach a set threshold is recorded; this time is the transport time difference.

[0034] When running online, after the controller obtains the real-time storage quantity parameter, it directly looks up the corresponding transport time difference in this table. If the parameter is between two calibration points, it is calculated by linear interpolation.

[0035] In another, more streamlined embodiment, the model is implemented as a univariate quadratic or cubic polynomial function. The coefficients of this function are also determined from offline simulation data using a curve fitting algorithm and embedded in the controller program. During online operation, the controller simply substitutes the acquired parameters into the function to calculate the required transport time difference. This design completely decouples the physical field simulation from the real-time control task, giving the real-time controller the ability to predict the response time at the most challenging points with extremely low computational cost. Based on predictions of the physical transport process within the cabinet, it can proactively extend the adjustment time to ensure that even the deepest files reach a safe state, achieving homogeneous control.

[0036] More specifically, the method for establishing the transport delay model includes the following steps: Using computational fluid dynamics software, a three-dimensional simulation model of the filing cabinet was established under multiple different storage quantity parameters. For each of the aforementioned storage quantity parameters, an unsteady-state simulation is performed on the three-dimensional simulation model to obtain the time required for the tracer gas to be transported from the air outlet to the preset core area of ​​the archive stack, thereby obtaining a set of data pairs consisting of the storage quantity parameters and their corresponding transport time differences. The data pairs are subjected to curve fitting to generate a mathematical function that takes the storage quantity parameter as input and the transport time difference as output, and this mathematical function is used as the transport delay model.

[0037] In one specific embodiment, computational fluid dynamics software such as ANSYS Fluent is used to first establish a three-dimensional geometric model of the filing cabinet. Then, for five working conditions with storage quantity parameters ρ of 20%, 40%, 60%, 80%, and 100%, corresponding porous media regions are constructed in the geometric model to simulate the accumulation of files.

[0038] During the unsteady-state simulation, one of the air components at the air outlet is designated as a tracer gas, such as oxygen. A monitoring point located at the geometric center of the geometric model or a preset farthest point is continuously monitored. The time required for the tracer gas concentration at this point to rise from its initial value to a target value, such as 95% of the steady-state value, is recorded, resulting in a data pair such as (20%, 0 min), (40%, 15 min), (60%, 40 min), (80%, 80 min), (100%, 120 min). This discrete data pair is imported into mathematical tools such as MATLAB, and its polyfit function is used to perform polynomial curve fitting, ultimately generating a transport time difference mathematical function. The coefficients of this function are then permanently written into the controller's firmware.

[0039] More specifically, the transport delay model is implemented as a strategy parameter lookup table; The strategy parameter lookup table predefines the mapping relationship between different value ranges of the storage quantity parameter and a set of corresponding control parameters.

[0040]

[0041] Table 1 Strategy Parameter Lookup Table When it is determined that 75% of the real-time storage quantity parameters fall into the lower range, all parameters in that row are read at once, and the pulse fan controller and additional regulating timer are configured accordingly. This approach, while ensuring scientific accuracy, significantly reduces the hardware performance requirements of the controller, thereby lowering product costs and improving operational stability.

[0042] More specifically, the control parameters include at least: Additional adjustment time as compensation value for the transport time difference, used to define the pulsation period of the pulsating air supply and the duty cycle of the pulsation period.

[0043] In one specific embodiment, when the storage quantity parameter ρ is 70%, the controller reads and executes the following control parameters from the strategy parameter lookup table: {Pulse period: 20 seconds, duty cycle: 40%, additional adjustment time: 80 minutes}. Based on this, the controller drives the fan to execute a cycle of "working for 1.6 minutes, stopping for 2.4 minutes," and continues this pulse cycle for 80 minutes after the material condition sensor indicates that the target has been met. In another embodiment with a higher load, when the storage quantity parameter is 95%, the parameters read by the controller become: {Pulse period: 3 minutes, duty cycle: 33%, additional adjustment time: 120 minutes}. In this case, the controller executes a more powerful and penetrating short-pulse strategy of "working for 1 minute, stopping for 2 minutes," and compensates for a longer 120 minutes after the sensor reaches the target. The core principle of this design lies in deconstructing a complex control task into two dimensions and quantifying them with specific parameters: by combining the pulsation cycle and duty cycle, the problem of "depth penetration of regulated air into physical space" is solved; by adding adjustment time, the problem of lag compensation in the time dimension of the control process is solved. These two elements work synergistically to actively break through airflow dead zones, forcibly achieving deep penetration into densely packed areas, ensuring that the penetrated regulated air has sufficient time to complete heat and mass exchange. This fundamentally ensures that, under high-density loads, all files in all locations within the cabinet can be evenly and thoroughly adjusted.

[0044] More specifically, the method for determining the duration of adjustment in the first control strategy is as follows: The first time required to adjust the material state parameters monitored by the material state sensor to a preset target value is added to the additional adjustment time obtained from the strategy parameter lookup table based on the current storage quantity parameter to obtain the total continuous adjustment time.

[0045] In one specific embodiment, the storage quantity parameter of the filing cabinet is 70%, and the controller queries the strategy parameter table to obtain the corresponding additional adjustment time of 80 minutes. After the controller starts the pulsed air supply, it continuously monitors the moisture content of the agent module through a near-infrared spectral probe. After 45 minutes, the moisture content reaches the preset target value of 8% for the first time. This 45 minutes is the "first time" T1. At this time, the controller does not stop adjusting, but adds this T1 to the queryed additional adjustment time of 90 minutes to obtain a total continuous adjustment time of 135 minutes, and continues to execute the pulsed air supply for the remaining 90 minutes. In another embodiment with a higher load, the storage quantity parameter ρ is 90%, and the controller queries to obtain an additional adjustment time of 120 minutes. Due to the stronger resistance effect inside the cabinet, the first time T1 required for the agent module to reach the target value of 8% moisture content is extended to 60 minutes. The controller then determines the total continuous adjustment time as T1 (60 minutes) + additional adjustment time (160 minutes) = 220 minutes. The core principle of this design lies in the fact that "first time" T1 only represents the state of the easiest-to-adjust area, while the additional adjustment time is a quantitative compensation for the time required for the physical transport process from the easiest-to-adjust area to the most difficult-to-adjust area. By dividing the entire control process into a "feedback phase" and a "compensation phase": the feedback phase relies on the sensor to ensure the basic effect of the control; the compensation phase relies on the model to ensure the depth and breadth of the control. This solves the measurement bias problem of a single sensor in high-density, heterogeneous environments. The additional adjustment time ensures that the controller will not prematurely terminate the control due to receiving a compliant signal from a local area, thus effectively avoiding the risk of inadequate adjustment and the formation of a potential mold core in the core area of ​​the archive stack.

[0046] More specifically, the pulsed air supply method is implemented as follows: Based on the pulse cycle and duty cycle corresponding to the current storage quantity parameter in the strategy parameter lookup table, the strong wind delivery phase and the pause delivery phase are executed alternately.

[0047] In one load embodiment, when the storage quantity parameter is 60%, the controller reads and executes the following control parameters from the strategy parameter lookup table: {Pulse period: 6 minutes, Duty cycle: 40%}. Based on this, the controller precisely drives the fan to execute a "full-speed, high-wind delivery" phase for 2.4 minutes, followed by a "complete stop delivery" phase for 3.6 minutes, and repeats this cycle as one complete cycle. In another high-density load embodiment, when the storage quantity parameter is 90%, the parameters read by the controller become: {Pulse period: 3 minutes, Duty cycle: 33%}. In this case, the controller executes a more penetrating short-pulse strategy of "full-speed, high-wind delivery for 1 minute, complete stop delivery for 2 minutes". The core principle of this design lies in its departure from the inefficient traditional continuous airflow mode. Instead, it utilizes the unsteady characteristics of fluid dynamics: the strong airflow stage aims to forcefully inject a high-kinetic-energy pressure wave into the archive stack, using its kinetic energy to overcome the enormous flow resistance created by high-density storage; the subsequent pause stage provides sufficient diffusion time for this air to dissipate its pressure gradient and to fully exchange heat and moisture with the surrounding stagnant air. This method, through the alternation of kinetic energy delivery and static mass transfer stages, actively and forcibly breaks the stable airflow dead zone formed inside the archive stack due to high density, achieving effective infusion of the deepest archives. Compared to existing technologies where air short-circuiting leads to persistently unsatisfactory temperature and humidity in the core area, this invention, through this pulsed infiltration strategy, ensures that regulated air can reach and act on any corner of the cabinet, achieving deep homogenized control.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for intelligent temperature and humidity control in filing cabinets, characterized in that, Includes the following steps: Obtain the storage quantity parameter in the filing cabinet, and compare the storage quantity parameter with a preset quantity threshold; By installing material state sensors inside the filing cabinet, material state parameters that characterize the state of the archival materials are monitored in real time. When the storage quantity parameter is higher than the quantity threshold, a first control strategy is executed. The first control strategy specifically includes: using a pulsed air supply method to deliver regulated air into the filing cabinet, and determining the duration of the pulsed air supply based on a transport delay model associated with the storage quantity parameter. When the storage quantity parameter is not higher than the quantity threshold, a second control strategy is executed. The second control strategy specifically includes: using a continuous air supply method to deliver regulated air into the filing cabinet.

2. The intelligent temperature and humidity control method for filing cabinets according to claim 1, characterized in that, The storage quantity parameter is obtained by scanning the files in the filing cabinet with radio frequency identification or barcode and then statistically analyzing the scanning results.

3. The intelligent temperature and humidity control method for filing cabinets according to claim 1, characterized in that, The material state sensor is a near-infrared spectroscopy analysis probe. Its monitoring target is the agent module, which is made of pure archival material and is set inside the filing cabinet.

4. The intelligent temperature and humidity control method for filing cabinets according to claim 3, characterized in that, The material state parameter is: water content data obtained by analyzing the characteristic absorption peaks of the proxy module in a specific band of the near-infrared spectrum.

5. The intelligent temperature and humidity control method for filing cabinets according to claim 1, characterized in that, The transport delay model is used to estimate the transport time difference required for the adjusted air to be transported from the air outlet to the core area of ​​the archive stack inside the filing cabinet, based on the currently acquired storage quantity parameters.

6. The intelligent temperature and humidity control method for filing cabinets according to claim 5, characterized in that, The method for establishing the transport delay model includes the following steps: Using computational fluid dynamics software, a three-dimensional simulation model of the filing cabinet was established under multiple different storage quantity parameters. For each of the aforementioned storage quantity parameters, an unsteady-state simulation is performed on the three-dimensional simulation model to obtain the time required for the tracer gas to be transported from the air outlet to the preset core area of ​​the archive stack, thereby obtaining a set of data pairs consisting of the storage quantity parameters and their corresponding transport time differences. The data pairs are subjected to curve fitting to generate a mathematical function that takes the storage quantity parameter as input and the transport time difference as output, and this mathematical function is used as the transport delay model.

7. The intelligent temperature and humidity control method for filing cabinets according to claim 5, characterized in that, The transport delay model is implemented as a strategy parameter lookup table; The strategy parameter lookup table predefines the mapping relationship between different value ranges of the storage quantity parameter and a set of corresponding control parameters.

8. The intelligent temperature and humidity control method for filing cabinets according to claim 7, characterized in that, The control parameters include at least: Additional adjustment time as compensation value for the transport time difference, used to define the pulsation period of the pulsating air supply and the duty cycle of the pulsation period.

9. The intelligent temperature and humidity control method for filing cabinets according to claim 8, characterized in that, The method for determining the duration of adjustment in the first control strategy is as follows: The first time required to adjust the material state parameters monitored by the material state sensor to a preset target value is added to the additional adjustment time obtained from the strategy parameter lookup table based on the current storage quantity parameter to obtain the total continuous adjustment time.

10. The intelligent temperature and humidity control method for filing cabinets according to claim 7, characterized in that, The specific implementation of the pulsed air supply method is as follows: Based on the pulse cycle and duty cycle corresponding to the current storage quantity parameter in the strategy parameter lookup table, the strong wind delivery phase and the pause delivery phase are executed alternately.

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