A self-tuning temperature control method, system, device, and storage medium for a glove box.

Abstract

This invention discloses a self-tuning temperature control method, system, device, and storage medium for a glove box, belonging to the field of automatic temperature control technology. The method includes: acquiring real-time temperature data inside the glove box based on the temperature acquisition module; triggering a self-tuning operation when switching to the current operating mode of perovskite thin film preparation: obtaining the temperature deviation based on the pre-acquired current target temperature and real-time temperature data, and performing temperature self-tuning calculations based on the pre-acquired current operating condition identification parameters and the temperature deviation to obtain proportional-integral-derivative (PID) parameters; obtaining a switching time modulation strategy based on the PID parameters, and then controlling the water cooling device to regulate the temperature of the glove box based on the switching time modulation strategy. This invention discloses a self-tuning temperature control method, system, device, and storage medium for a glove box, enabling precise temperature control inside the glove box.

Description

Technical Field

[0001] This invention relates to the field of automatic temperature control technology, and in particular to a self-tuning temperature control method, system, device, and storage medium for a glove box. Background Technology

[0002] In the fabrication process of perovskite thin films, the glove box is a core piece of equipment for achieving a closed-environment preparation. The temperature stability inside the box directly affects the crystallization and growth process of the perovskite thin film, and is an important factor in ensuring the crystallization quality and improving the film preparation performance. Glove boxes used for perovskite thin film preparation are equipped with corresponding temperature control structures to regulate the temperature inside the box, thereby meeting the basic temperature requirements for perovskite thin film preparation.

[0003] However, the existing temperature control schemes for glove boxes used in perovskite film preparation have many technical defects and are difficult to adapt to the stringent requirements for temperature accuracy and stability in perovskite film preparation. Specifically: First, existing temperature control methods are relatively crude, often relying on manual setting of the refrigeration unit's temperature value. This depends on the unit's continuous operation for extended periods to achieve thermal equilibrium within the box. Under this method, the set temperature of the glove box easily deviates significantly from the actual internal temperature, failing to meet the precise temperature control requirements of perovskite preparation processes. Second, existing temperature control systems have poor anti-interference capabilities. When the glove box contains built-in heat sources such as hot stages with different power levels or annealing temperatures, or when switching between different types of protective gases like nitrogen, the inherent differences in the thermal conductivity of these gases cause irregular temperature fluctuations within the box. Existing temperature control devices cannot automatically adapt to these changes, making it difficult to maintain temperature stability. Furthermore, with current technology, significant temperature fluctuations occur within the glove box, making it difficult to stabilize the temperature within the narrow range required by the process. This temperature instability directly affects the consistency and stability of perovskite material preparation, thereby reducing the quality of the perovskite thin film. Summary of the Invention

[0004] This invention provides a self-tuning temperature control method, system, device, and storage medium for glove boxes, which can solve the technical problems of existing glove box temperature control methods being crude, having significant deviations between set and actual temperatures, and having temperature control devices unable to automatically adapt when switching operating conditions, resulting in large temperature fluctuations, thereby achieving precise control of the internal temperature of the glove box.

[0005] This invention provides a self-tuning temperature control method for a glove box, applied to a self-tuning temperature control system. The self-tuning temperature control system includes a glove box, a water-cooling device, a temperature acquisition module, and a temperature control center. The method uses the temperature control center as the executing entity and includes: The temperature acquisition module acquires real-time temperature data inside the glove box. When switching to the current operating mode for perovskite thin film preparation, a self-tuning operation is triggered: The temperature deviation is obtained based on the pre-acquired current target temperature and real-time temperature data, and the temperature self-tuning calculation is performed based on the pre-acquired current operating condition identification parameters and the temperature deviation to obtain the proportional-integral-derivative term parameters. Based on the proportional-integral-derivative (PID) parameters, a switching time modulation strategy is obtained, and then the water-cooling device is controlled to regulate the temperature of the glove box based on the switching time modulation strategy.

[0006] The above solution acquires real-time temperature data inside the glove box through a temperature acquisition module. When switching the current operating mode of perovskite thin film preparation, a self-tuning operation is triggered. Combining the temperature deviation between the current target temperature and the real-time temperature data, and the current operating condition identification parameters, the self-tuning calculation is completed to obtain the proportional-integral-derivative (PID) parameters. Based on these parameters, a switching time modulation strategy is obtained to control the water cooling device to regulate the temperature. The self-tuning calculation is completed based on both the temperature deviation and the operating condition identification parameters, ensuring that the PID parameters are adapted to the current operating characteristics of perovskite thin film preparation. At the same time, the switching time modulation strategy converts the parameters into executable control actions of the water cooling device, forming a closed-loop logic for temperature control. This solves the technical problems of existing glove box temperature control methods being coarse, having significant deviations between the set temperature and the actual temperature, and the inability of the temperature control device to automatically adapt when switching operating modes, resulting in large temperature fluctuations. It achieves precise temperature control inside the glove box, enabling temperature control to accurately adapt to the operating conditions required for perovskite thin film preparation.

[0007] Further, the step of obtaining the switching time modulation strategy based on the proportional-integral-differential term parameters, and then controlling the water-cooling device to regulate the temperature of the glove box based on the switching time modulation strategy, includes: Obtain the current operating condition identification parameters, and retrieve the matching thermophysical reference parameters based on the current operating condition identification parameters; Based on the aforementioned thermophysical reference parameters, the heat exchange trend is determined, and the direction of trend progression is obtained. Based on the trend progression direction, the proportional-integral-differential term parameters are directionally progressively corrected to obtain the corrected proportional-integral-differential term parameters. Based on the corrected proportional-integral-derivative term parameters, a switching time modulation strategy is obtained, and then the water cooling device is controlled to regulate the temperature of the glove box based on the switching time modulation strategy.

[0008] The above solution retrieves thermophysical reference parameters that match the current operating condition identification parameters, determines the heat exchange trend and obtains the trend progression direction, and then performs directional progressive correction on the proportional-integral-derivative (PID) parameters based on this to obtain the switching time modulation strategy to control the water cooling device. By associating the thermophysical reference parameters with the operating condition identification parameters and obtaining accurate temperature adjustment property basis based on the heat exchange trend, and then performing directional progressive correction based on the trend, the PID parameters can better fit the heat exchange characteristics of the current operating condition. This avoids control lag caused by mismatch between parameters and the thermal characteristics of the operating condition, and solves the technical problem that existing temperature control devices do not consider the thermophysical characteristics of the operating condition and cannot adapt to the changes in heat exchange caused by changes in the operating condition. It improves the adaptability of the PID parameters to the current operating condition, making the temperature control action of the water cooling device more in line with the actual heat exchange requirements of the operating condition, and further improving the temperature control accuracy.

[0009] Further, the step of directionally progressively correcting the proportional-integral-differential term parameters based on the trend progression direction to obtain corrected proportional-integral-differential term parameters includes: Based on the proportional-integral-differential term parameters, a progressive correction action is performed according to a preset step size and the trend progression direction to obtain the current proportional-integral-differential term parameters; The temperature fluctuation amplitude is obtained based on the preset short detection period and the temperature acquisition module. When the temperature fluctuation amplitude is determined to be less than the preset fluctuation range threshold, the current proportional-integral-derivative parameter is used as the corrected proportional-integral-derivative parameter.

[0010] The above solution achieves fine-grained progressive correction of parameters by setting a preset step size, avoiding parameter distortion caused by excessive single correction. At the same time, it completes real-time detection of temperature fluctuation amplitude with a preset short detection cycle, and uses the fluctuation threshold as the judgment standard for parameter correction. This ensures that the corrected proportional-integral-derivative (PID) parameters can directly meet the temperature control stability requirements, solving the technical problem that existing temperature control parameter adjustments lack clear judgment standards and are prone to over- or under-adjustment leading to temperature fluctuations. It achieves accurate correction based on PLD parameters, ensuring that the temperature control action corresponding to the corrected parameters can effectively control the temperature fluctuation range.

[0011] Furthermore, after obtaining the temperature fluctuation amplitude based on the preset short detection period and the temperature acquisition module, the method further includes: When the temperature fluctuation amplitude is determined to be not less than the preset fluctuation range threshold, the progressive correction action is repeated based on the current proportional-integral-derivative term parameter until the temperature fluctuation amplitude is less than the preset fluctuation range threshold, at which point the progressive correction action stops.

[0012] When the temperature fluctuation amplitude is not less than the preset fluctuation range threshold, the above solution repeatedly performs progressive correction actions based on the current parameters until the fluctuation amplitude meets the standard. Through iterative progressive correction, the proportional-integral-derivative parameters can be continuously adjusted in a direction that adapts to the current operating conditions until the temperature fluctuation threshold requirement is met. This solves the technical problem that existing temperature control parameters cannot be adapted to the operating conditions with a single adjustment and are prone to excessive temperature fluctuations. It ensures that the corrected proportional-integral-derivative parameters can fully match the temperature control requirements of the current operating conditions, further improving the stability of temperature control.

[0013] Further, the step of obtaining the switching time modulation strategy based on the corrected proportional-integral-differential term parameters, and then controlling the water-cooling device to regulate the temperature of the glove box based on the switching time modulation strategy, includes: The current temperature control output value is obtained based on the corrected proportional-integral-derivative term parameters and the temperature deviation. Based on the current temperature control output value and the preset fixed control cycle, the current on-time and off-time of the water cooling device are obtained, and a switching time modulation strategy is formed based on the current on-time and off-time of the water cooling device. The temperature of the glove box is regulated by the water cooling device based on the switching time modulation strategy.

[0014] The above solution combines the corrected parameters with the real-time temperature deviation, enabling the temperature control output value to be adaptable to operating conditions and real-time. At the same time, by pre-setting a fixed control cycle, the output value is converted into a clear start-stop duration for the water-cooling device, which is used to control the water-cooling device and thus achieve temperature regulation of the glove box. This solves the technical problem of low temperature control accuracy of existing temperature control devices, realizes precise adjustment of the cooling power of the water-cooling device, and the temperature control action can be dynamically adjusted according to the real-time temperature deviation and operating condition characteristics, further improving the temperature control accuracy and real-time performance.

[0015] Furthermore, after triggering the self-tuning operation when switching to the current operating mode for perovskite thin film preparation, the following is also included: The proportional-integral-derivative term parameters are stored as fixed operating condition adjustment parameters for the current operating condition mode; Based on the self-tuning operation, several fixed condition adjustment parameters are obtained when switching to several preparation condition modes, one by one corresponding to several preparation condition modes. A reusable parameter library is formed based on several of the aforementioned fixed operating condition adjustment parameters; When switching to the target operating mode among the several preparation operating modes, the target self-tuning operation is triggered: The target proportional-integral-differential term parameters are obtained based on the reused parameter library and the target operating condition mode; The target switching time modulation strategy is obtained based on the target proportional-integral-differential term parameters, and then the water cooling device is controlled to regulate the temperature of the glove box based on the target switching time modulation strategy.

[0016] The above scheme stores the proportional-integral-derivative (PID) parameters obtained from self-tuning as fixed adjustment parameters for the current operating mode. Through multi-condition self-tuning, a reused parameter library containing a one-to-one correspondence between operating modes and parameters is formed. When switching to the target operating mode, the target parameters are retrieved from the parameter library to form a target switching time modulation strategy to control temperature regulation. Through parameter storage and the construction of the reused parameter library, the operating mode that has completed self-tuning does not need to repeat the self-tuning operation. Temperature regulation can be completed by directly retrieving the appropriate parameters. This solves the technical problem that existing temperature control devices still require manual and repeated parameter adjustments when switching to previously run operating modes, which is time-consuming and affects the continuity of perovskite thin film preparation. It significantly shortens the temperature stabilization time after operating mode switching, improves the process continuity and experimental efficiency of perovskite thin film preparation, and realizes unified management and rapid retrieval of parameters for multiple operating modes.

[0017] Further, the step of obtaining the target switching time modulation strategy based on the target proportional-integral-differential term parameters, and then controlling the water-cooling device to regulate the temperature of the glove box based on the target switching time modulation strategy, includes: The current temperature data is acquired in real time based on the temperature acquisition module; Obtain the preset target temperature corresponding to the target operating mode, and obtain the real-time temperature deviation based on the preset target temperature and the current temperature data; The target temperature control output value is obtained based on the target proportional-integral-derivative term parameters and the real-time temperature deviation. The on-time and off-time of the water cooling device are obtained based on the target temperature control output value and the preset fixed control cycle, and a target switching time modulation strategy is formed based on the on-time and off-time of the water cooling device. The water-cooling device is controlled to regulate the temperature of the glove box based on the target switching time modulation strategy.

[0018] The above solution combines the reused target parameters with the real-time temperature deviation under the target operating conditions, and responds in real time to the real-time temperature changes under the target operating conditions. This solves the technical problem that the real-time temperature deviation was not considered when reusing operating condition parameters, which can easily lead to temperature control lag. It ensures that when retrieving reused parameters for temperature control, real-time and accurate temperature control under the target operating conditions can still be achieved, thus guaranteeing the temperature control accuracy and stability after parameter reuse.

[0019] This invention provides a self-tuning temperature control method for a glove box. By combining operating condition identification parameters with temperature deviations to complete self-tuning calculations, it achieves precise parameter adaptation for perovskite thin film preparation conditions. Through refined progressive correction and temperature fluctuation threshold determination, the proportional-integral-derivative parameters effectively control the temperature fluctuation range. By converting parameters into specific start-stop times for the water-cooling device, it achieves precise dynamic adjustment of cooling power. The construction of a reuse parameter library effectively shortens the temperature stabilization time after operating condition switching, avoiding repeated self-tuning and manual parameter adjustment. This method achieves precise temperature control within the glove box under various operating conditions in perovskite thin film preparation, keeping temperature fluctuations within a preset range. It improves the anti-interference capability and operating condition adaptability of temperature control, while significantly enhancing the process continuity and experimental efficiency of perovskite thin film preparation. It solves the core technical problems of existing glove boxes, such as low temperature control accuracy, weak anti-interference capability, poor adaptability, and long time-consuming parameter adjustment during operating condition switching.

[0020] The present invention also provides a self-tuning temperature control system for a glove box, comprising a glove box, a water cooling device, a temperature acquisition module, and a temperature control center, wherein: The glove box has a sealed cavity structure; The heat exchange end of the water cooling device extends into the interior of the sealed cavity structure for temperature control of the glove box. The detection end of the temperature acquisition module is located inside the sealed cavity structure and is used to collect real-time temperature data inside the glove box. The temperature acquisition module is electrically connected to the temperature control center, and the water cooling device is electrically connected to the temperature control center. The temperature control center is used to acquire real-time temperature data based on the temperature acquisition module. The temperature control center is also used to trigger a self-tuning operation when switching to the current operating mode of perovskite thin film preparation: obtaining the temperature deviation based on the pre-acquired current target temperature and real-time temperature data, and performing temperature self-tuning calculation based on the pre-acquired current operating condition identification parameters and the temperature deviation to obtain proportional-integral-derivative (PID) parameters; obtaining a switching time modulation strategy based on the PID parameters, and then controlling the water cooling device to regulate the temperature of the glove box based on the switching time modulation strategy.

[0021] This invention provides a self-tuning temperature control system for a glove box. It acquires real-time temperature data inside the glove box via a temperature acquisition module. When switching the current operating mode for perovskite thin film preparation, a temperature control center triggers a self-tuning operation. Combining the temperature deviation between the current target temperature and the real-time temperature data, and the current operating condition identification parameters, the system performs self-tuning calculations to obtain proportional-integral-derivative (PID) parameters. Based on these parameters, a switching time modulation strategy is obtained, and the water-cooling device is controlled to regulate the temperature. The self-tuning calculation is completed using both temperature deviation and operating condition identification parameters, ensuring that the PID parameters are adapted to the current operating characteristics of perovskite thin film preparation. Simultaneously, the switching time modulation strategy transforms the parameters into executable control actions for the water-cooling device, forming a closed-loop logic for temperature control. This system solves the technical problems of existing glove box temperature control methods being coarse, having significant deviations between set and actual temperatures, and exhibiting large temperature fluctuations due to the inability of the temperature control device to automatically adapt when switching operating modes. It achieves precise temperature control inside the glove box, enabling precise temperature regulation to meet the operating requirements of perovskite thin film preparation.

[0022] The present invention also provides an apparatus comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements the above-described self-tuning temperature control method for a glove box.

[0023] The present invention also provides a storage medium, comprising: a stored computer program, wherein, when the computer program is executed, the device where the storage medium is located is controlled to perform the above-described self-tuning temperature control method for a glove box. Attached Figure Description

[0024] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments 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 from these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram of a self-tuning temperature control method for a glove box provided in this embodiment; Figure 2 This is a schematic diagram of a self-tuning temperature control system for a glove box provided in this embodiment; Figure 3 This is the temperature-time steady-state response curve inside the glove box at a target temperature of 20°C, provided in this embodiment. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0028] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0029] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0030] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0031] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0032] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0033] Example 1: This embodiment provides a self-tuning temperature control method for a glove box, such as... Figure 1 As shown, this method is applied to a self-tuning temperature control system, which includes a glove box, a water cooling device, a temperature acquisition module, and a temperature control center. The method uses the temperature control center as the executing entity and includes: S1. Obtain real-time temperature data inside the glove box based on the temperature acquisition module; S2. When switching to the current operating mode for perovskite thin film preparation, a self-tuning operation is triggered: S21. Based on the pre-acquired current target temperature and real-time temperature data, obtain the temperature deviation, and based on the pre-acquired current operating condition identification parameters and the temperature deviation, perform temperature self-tuning calculation to obtain proportional-integral-differential term parameters. S22. Obtain the switching time modulation strategy based on the proportional-integral-differential term parameters, and then control the water cooling device to regulate the temperature of the glove box based on the switching time modulation strategy.

[0034] In practical implementation, the self-tuning temperature control method provided in this embodiment is applied to the glove box in the perovskite preparation process. During perovskite preparation, the temperature of the hot plate in the glove box varies depending on the process step (i.e., different current operating conditions). Different hot plate temperatures can interfere with the temperature stability within the glove box to varying degrees, making it difficult for conventional temperature control systems to adapt to this dynamic change. This embodiment uses a proportional-integral-derivative (PID) control device as the temperature control center. It can dynamically adjust the proportional term P, integral term I, and derivative term D parameters according to the process requirements of each stage of perovskite preparation to accurately counteract the interference caused by different hot plate temperatures, ensuring that the temperature inside the box remains stable within the target range. This target range is obtained by the current target temperature corresponding to the current operating condition and a preset allowable fluctuation range threshold. Preferably, in this embodiment, the preset allowable fluctuation range threshold is ±0.3℃.

[0035] In the specific implementation process, step S21 is as follows: After the temperature control center triggers the self-tuning operation, the temperature acquisition module acquires real-time temperature data inside the glove box at a preset frequency. The temperature control center calculates the temperature deviation by comparing the pre-acquired current target temperature with the real-time temperature data, and continuously acquires and calculates the dynamic temperature deviation to form a temperature deviation time series, providing continuous deviation data support for subsequent self-tuning calculations. At the same time, the temperature control center retrieves the pre-acquired full set of current operating condition identification parameters from the operating condition database, and based on the protective gas type, retrieves the corresponding preset heat conduction reference parameters and heat dissipation efficiency reference values ​​from the built-in thermal property database. Combined with the set temperature and heating area of ​​the hot platform, the heat radiation intensity reference value of the hot platform is obtained. Then, combined with the operating mode and gas circulation status characteristics, the operating condition is determined. The basic characteristics of heat exchange within the glove box under this operating condition were used as the basis for the condition correction calculation for this PID parameter self-tuning, along with the aforementioned operating condition characteristics and thermophysical parameters. Subsequently, the temperature control center adopted a PID self-tuning algorithm adapted to the large inertia thermal characteristics of the glove box, using the temperature deviation time series as the core input. Combined with the thermal inertia coefficient of the glove box and the cooling power characteristics of the water cooling device, the initial PID parameters were calculated. Through relay feedback, the temperature inside the glove box was made to generate a small and stable oscillation near the target temperature. The critical proportional gain and critical oscillation period of the temperature oscillation were collected and then substituted into the tuning formula to calculate the initial proportional-integral-derivative (PID) parameters. These parameters were then simplified for engineering purposes to obtain the PPD parameters adapted to engineering temperature control requirements. These parameters are the basic tuning results based solely on the temperature deviation.

[0036] For example, when the current operating mode is set to a target chamber temperature of 20 ℃, a hot plate temperature of 100 ℃, a hot plate heating area of ​​(20×20) cm², and perovskite film annealing under a nitrogen atmosphere, the glove box can accommodate an annealing hot plate with a heating area of ​​(20×20) cm², and a support can be used to fix the hot plate, stably maintaining it at 100 ℃ to meet the annealing requirements. At this time, the temperature acquisition module accurately measures the real-time temperature data inside the chamber and in key areas, and transmits this data to the PID control device. After the self-tuning function is manually or automatically activated, the PID control device automatically adjusts the three parameters P, I, and D to obtain the PID parameter combination (corresponding to the proportional, integral, and derivative parameters). At this time, the pre-acquired current target temperature is the target temperature of the chamber, 20 ℃. The current operating condition identification parameters include the hot plate temperature, the hot plate heating area, and the nitrogen atmosphere. Based on the current operating condition identification parameters, the current target temperature, and the real-time temperature data, the appropriate PID parameter combination is automatically calculated. The PID control device obtains the switching time modulation strategy through these three parameters to accurately control the switching time of the water cooling device. Then, based on the switching time modulation strategy, it controls the water cooling device to regulate the temperature of the glove box, thereby adjusting the cooling power. This ensures that the temperature inside the chamber is stable at 20±0.3℃ and the hot plate maintains a stable 100℃ heating environment.

[0037] In this embodiment, a water-cooled device is used as the temperature control actuator. Alternatively, an air-cooled device or a water-air-cooled composite temperature control device can also be used. The air-cooled device achieves temperature regulation through an adjustable-speed fan and optimized airflow design. The water-air-cooled composite device uses water cooling to enhance temperature control accuracy in the low-temperature range and combines it with air cooling to improve heat dissipation efficiency in the high-temperature range. Both achieve the same temperature control effect by adjusting the fan speed or the switching logic of the composite temperature control through a PID control device. When switching operating modes, the PID control device can manually or automatically activate the self-tuning function, triggering the self-tuning operation.

[0038] Optionally, step S22 includes: Obtain the current operating condition identification parameters, and retrieve the matching thermophysical reference parameters based on the current operating condition identification parameters; Based on the aforementioned thermophysical reference parameters, the heat exchange trend is determined, and the direction of trend progression is obtained. Based on the trend progression direction, the proportional-integral-differential term parameters are directionally progressively corrected to obtain the corrected proportional-integral-differential term parameters. Based on the corrected proportional-integral-derivative term parameters, a switching time modulation strategy is obtained, and then the water cooling device is controlled to regulate the temperature of the glove box based on the switching time modulation strategy.

[0039] Optionally, the step of directionally progressively correcting the proportional-integral-differential term parameters based on the trend progression direction to obtain the corrected proportional-integral-differential term parameters includes: Based on the proportional-integral-differential term parameters, a progressive correction action is performed according to a preset step size and the trend progression direction to obtain the current proportional-integral-differential term parameters; The temperature fluctuation amplitude is obtained based on the preset short detection period and the temperature acquisition module. When the temperature fluctuation amplitude is determined to be less than the preset fluctuation range threshold, the current proportional-integral-derivative parameter is used as the corrected proportional-integral-derivative parameter.

[0040] Optionally, after obtaining the temperature fluctuation amplitude based on the preset short detection period and the temperature acquisition module, the method further includes: When the temperature fluctuation amplitude is determined to be not less than the preset fluctuation range threshold, the progressive correction action is repeated based on the current proportional-integral-derivative term parameter until the temperature fluctuation amplitude is less than the preset fluctuation range threshold, at which point the progressive correction action stops.

[0041] In its implementation, this embodiment proposes a secondary correction mechanism for PID parameter combinations based on operating condition identification. Unlike existing technologies that rely solely on temperature error for PID self-tuning, this mechanism introduces current operating condition identification parameters as the basis for PID parameter correction, achieving precise adaptation of the PID parameter combination to the perovskite thin film preparation conditions. Specifically, the current operating condition identification parameters include the hot stage set temperature, hot stage power or heating area, protective gas type, cleaning mode or non-cleaning mode, and gas circulation status. When the temperature control center triggers the self-tuning function, it first calculates the initial PID parameter combination based on the temperature closed-loop control logic and the deviation between the real-time temperature and the target temperature. Then, it performs a secondary correction on the initial PID parameter combination using the current operating condition identification parameters, ultimately obtaining PID execution parameters adapted to the current operating conditions.

[0042] The correction process is as follows: First, the temperature control center identifies the type of protective gas under the current operating condition and retrieves the corresponding preset heat conduction reference parameters from the built-in thermophysical property database. Then, it combines all operating condition identification parameters to determine whether the heat exchange inside the glove box is increasing or decreasing under the current operating condition. Subsequently, the integral term I or derivative term D in the initial PID parameters is adjusted directionally in a progressive manner according to a set step size. In this embodiment, the preferred preset step size range is 0.01~0.1. After each parameter adjustment, a short-cycle stability test is immediately performed on the temperature inside the glove box. When the detected temperature fluctuation is lower than the preset threshold, the parameter adjustment is stopped immediately. The PID parameters at this time are the final execution parameters under the current operating condition. Through the above PID parameter tuning mechanism, the calculation of the PID parameter combination in this embodiment no longer relies solely on temperature error, but dynamically adapts to the thermal characteristics of the built-in heat source inside the glove box and the thermophysical characteristics of the protective gas, effectively realizing rapid and stable control of the temperature inside the glove box under different operating conditions during the perovskite thin film preparation process. In existing PID self-tuning control technology, the deviation between real-time temperature and target temperature is usually used as the only input variable for parameter calculation. It does not consider the actual impact of built-in heat source parameters and gas thermophysical properties on the heat exchange process inside the chamber. As a result, the PID parameters cannot adapt to the heat exchange differences caused by changes in operating conditions, making it difficult to maintain temperature stability.

[0043] Specifically, taking the perovskite thin film annealing condition with a target chamber temperature of 20℃, a hot stage temperature of 100℃, a hot stage heating area of ​​(20×20) cm², and a nitrogen atmosphere as an example, the following parameters are first obtained from the temperature control center: hot stage set temperature 100℃, hot stage heating area of ​​(20×20) cm², protective gas type nitrogen, and preparation working mode annealing mode. Based on the protective gas type being nitrogen, the thermal conductivity coefficient and heat dissipation efficiency reference values ​​corresponding to nitrogen are retrieved from the built-in thermophysical property database. Combined with the thermal radiation intensity reference value of the hot stage at 100℃, matching thermophysical reference parameters are obtained. Then, based on the above thermophysical reference parameters, combined with the real-time temperature data and heat exchange status inside the glove box, it is determined that the heat exchange trend under the current condition is a normal heat dissipation trend, without significant enhancement or weakening, and the trend progression direction is determined to be maintaining basic heat dissipation adjustment. Finally, based on this progressive trend, the proportional-integral-derivative (PID) parameters obtained from the previous self-tuning calculation are progressively corrected in a directional manner. The integral term is finely adjusted in a preset step size of 0.01. After each fine-tuning, a short detection cycle is initiated based on a preset short detection period (10 seconds in this embodiment). Real-time temperature data inside the glove box is collected via the temperature acquisition module at a frequency of not less than 10Hz. The temperature fluctuation amplitude within this cycle is calculated. After two fine-tunings, the temperature fluctuation amplitude is reduced to ±0.28℃, which is less than the preset ±0.3℃ fluctuation threshold. The correction is then stopped, and the corrected PID parameters are determined to be P=4.8, I=0.9, and D=0.25. The following calculation process can be used to calculate the temperature fluctuation amplitude: Within the preset short detection cycle, the highest and lowest temperatures inside the glove box are collected. The difference between the highest and lowest temperatures is the temperature fluctuation amplitude.

[0044] Optionally, the step of obtaining the switching time modulation strategy based on the corrected proportional-integral-differential term parameters, and then controlling the water-cooling device to regulate the temperature of the glove box based on the switching time modulation strategy, includes: The current temperature control output value is obtained based on the corrected proportional-integral-derivative term parameters and the temperature deviation. Based on the current temperature control output value and the preset fixed control cycle, the current on-time and off-time of the water cooling device are obtained, and a switching time modulation strategy is formed based on the current on-time and off-time of the water cooling device. The temperature of the glove box is regulated by the water cooling device based on the switching time modulation strategy.

[0045] In the specific implementation process, based on the corrected proportional-integral-differential term parameters P=4.8, I=0.9, and D=0.25, and combined with the temperature deviation calculation, the current temperature control output value of the water-cooling device is obtained. Then, according to the preset fixed control period (set to 60 seconds in this embodiment), the current temperature control output value is converted into the current water-cooling device on-time Ton and the current water-cooling device off-time Toff, forming an on / off time modulation strategy. For example, when the current temperature control output value is calculated to be 40 at a certain moment, according to the formula Ton=(current temperature control output value / 100)×preset fixed control period, Toff=preset fixed control period-Ton, the on-time of the water-cooling device is calculated to be 24 seconds and the off-time is 36 seconds. That is, the on / off time modulation strategy within each preset fixed control period is 24 seconds of cooling on and 36 seconds of cooling off. According to the above-mentioned switching time modulation strategy, control commands are sent to the water cooling device to control the start and stop time of the water cooling device, thereby achieving precise adjustment of the cooling power of the water cooling device. After continuous temperature regulation through this strategy, the temperature inside the glove box is stabilized within the range of 20±0.3℃, while the hot stage is stably maintained at 100℃ for annealing heating, meeting the temperature process requirements for perovskite film annealing under this condition.

[0046] In the actual perovskite thin film preparation process, even if the temperature control system of the glove box in the existing technology is equipped with a PID control device, it still uses a fixed combination of proportional, integral and derivative parameters for temperature regulation, which can only be adapted to a single preparation condition. For example, under specific preparation conditions such as cleaning mode, nitrogen as the protective gas, and a hot-stage annealing temperature of 100℃, this type of temperature control system uses a fixed PID parameter combination of P=5.0, I=0.8, and D=0.3, which can only achieve basic temperature control under this single operating condition. When the perovskite thin film preparation process is switched to non-cleaning mode, the protective gas is changed to argon, or the hot-stage annealing temperature is adjusted to 80℃, the original fixed PID parameter combination cannot adapt to the interference differences caused by the change in operating conditions. Due to the inherent difference in thermal conductivity coefficients between argon and nitrogen, the heat dissipation efficiency of the glove box will change. Furthermore, the reduction in the hot-stage annealing temperature will weaken the heat radiation intensity of the heat source inside the box. These changes in operating conditions will cause the temperature adjustment response of the conventional PID temperature control system to lag, resulting in temperature fluctuations of ±1.2℃ inside the glove box. It also requires 20-30 minutes of manual adjustment of the PID parameter combination to bring the temperature inside the box back to a relatively stable control state, which seriously affects the continuity of the perovskite thin film preparation process and reduces the consistency of perovskite thin film preparation. The self-tuning temperature control method for a glove box provided in this embodiment shows that experiments have shown that the temperature inside the box can be stabilized within the target temperature fluctuation range (±0.3℃) in just 2 minutes. This effectively solves the core defects of conventional PID control systems, such as fixed parameters and poor adaptability, and ensures the temperature stability and process consistency of glove boxes prepared from perovskite thin films under different process conditions.

[0047] Optionally, after step S2, the following steps are also included: The proportional-integral-derivative term parameters are stored as fixed operating condition adjustment parameters for the current operating condition mode; Based on the self-tuning operation, several fixed condition adjustment parameters are obtained when switching to several preparation condition modes, one by one corresponding to several preparation condition modes. A reusable parameter library is formed based on several of the aforementioned fixed operating condition adjustment parameters; When switching to the target operating mode among the several preparation operating modes, the target self-tuning operation is triggered: The target proportional-integral-differential term parameters are obtained based on the reused parameter library and the target operating condition mode; The target switching time modulation strategy is obtained based on the target proportional-integral-differential term parameters, and then the water cooling device is controlled to regulate the temperature of the glove box based on the target switching time modulation strategy.

[0048] The PID control device can trigger a self-tuning function when switching experimental conditions in the perovskite preparation process. It automatically adjusts the P, I, and D parameters and saves the optimal PID parameter combinations under different operating conditions for reuse. This, combined with real-time data feedback from the temperature acquisition module, forms a closed-loop control, enabling precise temperature regulation within the glove box through a water-cooling system. Specifically, the PID control device in this embodiment also has a built-in parameter storage function, capable of saving multiple sets of P, I, and D parameters for different operating conditions—i.e., several fixed-condition adjustment parameters—forming a reuse parameter library that supports one-click recall. Specifically, under initial operating conditions (e.g., cleaning mode, nitrogen protection, hot stage 100℃), after manually triggering the self-tuning function, the PID control device automatically identifies the current operating condition parameters such as thermal radiation intensity, nitrogen heat conduction characteristics, and humidity influence under cleaning mode. It calculates the optimal PID parameter combination (e.g., P=4.8, I=0.9, D=0.25), which are the proportional-integral-derivative (PI) parameters, and saves them as fixed operating condition adjustment parameters under the initial operating conditions. When switching to other new operating conditions, such as non-cleaning mode, argon protection, or hot stage 80℃, no manual intervention is required. Upon triggering the self-tuning function again, the device can quickly adjust to obtain a new optimal PID parameter combination (e.g., P=6.2, I=0.6, D=0.4) based on the heat source characteristics and gas thermophysical parameters of the new operating conditions, and map and save it to the corresponding operating conditions. Each time a new preparation mode appears, the same method described above is used to obtain and save the optimal parameters, thereby updating and expanding the reusable parameter library.

[0049] Optionally, the step of obtaining the target switching time modulation strategy based on the target proportional-integral-differential term parameters, and then controlling the water-cooling device to regulate the temperature of the glove box based on the target switching time modulation strategy, includes: The current temperature data is acquired in real time based on the temperature acquisition module; Obtain the preset target temperature corresponding to the target operating mode, and obtain the real-time temperature deviation based on the preset target temperature and the current temperature data; The target temperature control output value is obtained based on the target proportional-integral-derivative term parameters and the real-time temperature deviation. The on-time and off-time of the water cooling device are obtained based on the target temperature control output value and the preset fixed control cycle, and a target switching time modulation strategy is formed based on the on-time and off-time of the water cooling device. The water-cooling device is controlled to regulate the temperature of the glove box based on the target switching time modulation strategy.

[0050] This embodiment provides a self-tuning temperature control method for a glove box. Through a self-tuning PID temperature control device, the PID parameters are automatically optimized and adjusted. Combined with real-time feedback from a high-precision temperature acquisition module, a closed-loop control is formed, which can control the temperature fluctuation within the glove box to within 0.3℃. This effectively solves the problem of inconsistency between the set temperature and the actual temperature in existing equipment, meeting the stringent requirements for precise temperature control in perovskite thin film preparation processes. No manual parameter adjustment is required during operating condition switching; the PID parameters can be automatically self-tuned, and the optimal PID parameters for different operating conditions can be saved for direct subsequent use, significantly improving experimental efficiency. It is adaptable to various hot stages, gas atmospheres, and operating modes. For interference factors such as built-in heat sources and changes in the gas environment, the PID control device can quickly adjust parameters through real-time data feedback to ensure temperature stability and avoid temperature fluctuations caused by interference. A stable and precise temperature environment can significantly improve the crystallinity consistency and performance stability of perovskite thin films and perovskite thin-film battery modules, increasing the yield and providing strong support for the technological research and development and industrial production of perovskite thin film preparation.

[0051] Example 2: This embodiment provides a self-tuning temperature control system for a glove box, such as... Figure 2 As shown, it includes a glove box, a water cooling system, a temperature acquisition module, and a temperature control center, wherein: The glove box has a sealed cavity structure; The heat exchange end of the water cooling device extends into the interior of the sealed cavity structure for temperature control of the glove box. The detection end of the temperature acquisition module is located inside the sealed cavity structure and is used to collect real-time temperature data inside the glove box. The temperature acquisition module is electrically connected to the temperature control center, and the water cooling device is electrically connected to the temperature control center. The temperature control center is used to acquire real-time temperature data based on the temperature acquisition module. The temperature control center is also used to trigger a self-tuning operation when switching to the current operating mode of perovskite thin film preparation: obtaining the temperature deviation based on the pre-acquired current target temperature and real-time temperature data, and performing temperature self-tuning calculation based on the pre-acquired current operating condition identification parameters and the temperature deviation to obtain proportional-integral-derivative (PID) parameters; obtaining a switching time modulation strategy based on the PID parameters, and then controlling the water cooling device to regulate the temperature of the glove box based on the switching time modulation strategy.

[0052] In its specific implementation, this embodiment provides a self-tuning temperature control system for a glove box. The glove box body serves as a sealed environment carrier for perovskite thin film preparation. A water-cooling device acts as the temperature regulation actuator. A temperature acquisition module captures real-time temperature data within the box. A PID controller with self-tuning function serves as the system core, automatically adjusting PID parameters and outputting control signals after receiving temperature data. The glove box body is a sealed cavity structure. The heat exchange end of the water-cooling device extends into the sealed cavity of the glove box body to regulate the temperature of the internal environment. The sensing end of the temperature acquisition module is located within the sealed cavity of the glove box body to collect real-time temperature data. The temperature acquisition module is electrically connected to the PID controller, and the water-cooling device is also electrically connected to the PID controller. The input end of the PID controller is electrically connected to the temperature acquisition module, and the output end is electrically connected to the water-cooling device. The system can adjust the PID parameter combination through self-tuning and has the function of saving and reusing PID parameter combinations. All components work together, and through self-tuning PID control logic, when switching to different working conditions in perovskite thin film preparation, the PID control device triggers a self-tuning operation: based on the pre-acquired current target temperature and real-time temperature data, the temperature deviation is obtained, and combined with the current working condition identification parameters and temperature deviation, temperature self-tuning calculation is performed to obtain proportional, integral, and derivative parameters adapted to the current working condition; then, based on these parameters, a switching time modulation strategy is obtained to control the water cooling device to regulate the temperature of the glove box body, ultimately achieving a temperature control effect where the temperature fluctuation inside the box is less than 0.3℃ under different working conditions, meeting the precise temperature control requirements for perovskite thin film preparation.

[0053] This embodiment provides a self-tuning temperature control system for a glove box, aiming to solve the technical problems of low temperature control accuracy, weak anti-interference ability, and poor adaptability of existing glove boxes used in perovskite thin film preparation. The system includes a glove box body, a water cooling device, a temperature acquisition module, and a PID control device. The PID control device can be manually triggered to automatically adjust PID parameters during operating condition switching and can save the optimal PID parameters under different operating conditions for reuse. The temperature acquisition module provides real-time temperature data feedback to form a closed-loop control, which, in conjunction with the water cooling device, achieves precise temperature regulation inside the glove box. It is adaptable to different hot-stage parameters, cleaning and non-cleaning modes, and various protective gas atmospheres, achieving precise temperature control with temperature fluctuations less than 0.3℃. It features simple operation and strong anti-interference ability, significantly improving the preparation quality and process consistency of perovskite thin films, achieving precise temperature control inside the glove box, and enabling temperature regulation to accurately adapt to the operating conditions of perovskite thin film preparation. It is suitable for various core process scenarios in perovskite thin film preparation.

[0054] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can implement the self-tuning temperature control method for the glove box provided by any of the above-described method embodiments of the present invention.

[0055] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0056] Example 3: This embodiment uses the perovskite thin film preparation process as an application scenario to provide a specific control flow for the self-tuning temperature control system of a glove box. Specifically, under the specific working conditions of setting the target temperature of the glove box body to 20℃, the hot plate temperature to 100℃, using nitrogen as a protective atmosphere, and being in cleaning mode, after triggering the self-tuning function, the temperature control center calculates the optimal PID parameter combination adapted to this working condition as: P=4.8, I=0.9, D=0.25. The system presets a fixed control cycle T=60 seconds, and the maximum control output value is limited to Umax=100. At a specific control moment, based on the real-time temperature deviation, the current control output U=40 is calculated. Then, according to the formula, the on-time of the water cooling device Ton=(40 / 100)×60=24 seconds, and the off-time Toff=60-24=36 seconds. That is, within the 60-second control cycle, the water cooling device is on for 24 seconds and off for 36 seconds, achieving precise temperature control.

[0057] When the process switches operating conditions and the protective gas is changed from nitrogen to helium, the system automatically identifies the changes in the current operating conditions and parameters. Since helium has a significantly higher thermal conductivity than nitrogen, this leads to increased heat dissipation efficiency inside the glove box, altering the heat exchange environment. At this point, the system automatically executes a secondary correction process for the self-tuning parameters: first, initial PID parameters are calculated based on the temperature deviation; then, preset thermal conductivity reference parameters for helium are retrieved from the built-in thermal property database to determine the current trend of enhanced heat exchange, and the integral term I is progressively corrected in a decreasing direction according to a preset step size; after each parameter adjustment, a 10-second short-cycle temperature stability detection is immediately initiated, collecting real-time temperature data inside the box and calculating the temperature fluctuation amplitude. When the detected temperature fluctuation amplitude is less than a preset threshold ±0.3℃, parameter adjustment stops. After the above dynamic correction process, the system finally obtains the optimal PID parameter combination adapted to the new helium protection operating condition: P=5.6, I=0.65, D=0.35. Under this new operating condition, if the calculated control output U=65, then the corresponding cooling start-up time Ton=(65 / 100)×60=39 seconds, and the shutdown time Toff=21 seconds. The entire parameter correction and cooling time ratio generation process is completed automatically within approximately 2 minutes, requiring no manual intervention.

[0058] Compared with existing temperature control systems that use fixed PID parameters, the self-tuning temperature control system for a glove box provided in this embodiment achieves the following results when performing self-tuning temperature control: Figure 3 The figure shows the temperature-time steady-state response curve inside the glove box at the target temperature of 20°C. Figure 3 The horizontal axis represents time (min), and the vertical axis represents the temperature inside the chamber (°C). Figure 3 As can be seen, this embodiment precisely controls the temperature fluctuation range inside the glove box from the traditional ±1.2℃ to within ±0.3℃, fully meeting the stringent requirements for temperature stability in perovskite thin film preparation; it eliminates the need for repeated manual parameter adjustments, reducing the time spent on manual parameter adjustment from more than 20 minutes to 0 minutes, significantly improving the continuity and automation of the perovskite thin film preparation process, and effectively solving the problems of temperature control failure and low efficiency caused by switching operating conditions.

[0059] Example 4: Based on the above embodiment of a glove box self-tuning temperature control method, another embodiment of the present invention provides a device, which is a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the glove box self-tuning temperature control method of any embodiment of the present invention.

[0060] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal device.

[0061] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0062] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting various parts of the terminal device via various interfaces and lines.

[0063] Example 5: Based on the above-described method embodiments, another embodiment of the present invention provides a storage medium including a stored computer program, wherein the storage medium is a computer-readable storage medium, and the computer program controls the device where the computer-readable storage medium is located to execute the self-tuning temperature control method for a glove box as described in any of the above-described method embodiments of the present invention during runtime.

[0064] The modules / units integrated in the device / terminal equipment, if implemented as software functional units and sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0065] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A self-tuning temperature control method for a glove box, characterized in that, This method, applied to a self-tuning temperature control system including a glove box, a water cooling device, a temperature acquisition module, and a temperature control center, uses the temperature control center as the executing entity and includes: The temperature acquisition module acquires real-time temperature data inside the glove box. When switching to the current operating mode for perovskite thin film preparation, a self-tuning operation is triggered: The temperature deviation is obtained based on the pre-acquired current target temperature and real-time temperature data, and the temperature self-tuning calculation is performed based on the pre-acquired current operating condition identification parameters and the temperature deviation to obtain the proportional-integral-derivative term parameters. Based on the proportional-integral-derivative (PID) parameters, a switching time modulation strategy is obtained, and then the water-cooling device is controlled to regulate the temperature of the glove box based on the switching time modulation strategy.

2. The self-tuning temperature control method for a glove box as described in claim 1, characterized in that, The step of obtaining a switching time modulation strategy based on the proportional-integral-differential term parameters, and then controlling the water-cooling device to regulate the temperature of the glove box based on the switching time modulation strategy, includes: Obtain the current operating condition identification parameters, and retrieve the matching thermophysical reference parameters based on the current operating condition identification parameters; Based on the aforementioned thermophysical reference parameters, the heat exchange trend is determined, and the direction of trend progression is obtained. Based on the trend progression direction, the proportional-integral-differential term parameters are directionally progressively corrected to obtain the corrected proportional-integral-differential term parameters. Based on the corrected proportional-integral-derivative term parameters, a switching time modulation strategy is obtained, and then the water cooling device is controlled to regulate the temperature of the glove box based on the switching time modulation strategy.

3. The self-tuning temperature control method for a glove box as described in claim 2, characterized in that, The step of directionally progressively correcting the proportional-integral-differential term parameters based on the trend progression direction to obtain the corrected proportional-integral-differential term parameters includes: Based on the proportional-integral-differential term parameters, a progressive correction action is performed according to a preset step size and the trend progression direction to obtain the current proportional-integral-differential term parameters; The temperature fluctuation amplitude is obtained based on the preset short detection period and the temperature acquisition module. When the temperature fluctuation amplitude is determined to be less than the preset fluctuation range threshold, the current proportional-integral-derivative parameter is used as the corrected proportional-integral-derivative parameter.

4. The self-tuning temperature control method for a glove box as described in claim 3, characterized in that, After the temperature fluctuation amplitude is obtained based on the preset short detection period and the temperature acquisition module, the method further includes: When the temperature fluctuation amplitude is determined to be not less than the preset fluctuation range threshold, the progressive correction action is repeated based on the current proportional-integral-derivative term parameter until the temperature fluctuation amplitude is less than the preset fluctuation range threshold, at which point the progressive correction action stops.

5. The self-tuning temperature control method for a glove box as described in claim 2, characterized in that, The step of obtaining the switching time modulation strategy based on the corrected proportional-integral-differential term parameters, and then controlling the water cooling device to regulate the temperature of the glove box based on the switching time modulation strategy, includes: The current temperature control output value is obtained based on the corrected proportional-integral-derivative term parameters and the temperature deviation. Based on the current temperature control output value and the preset fixed control cycle, the current on-time and off-time of the water cooling device are obtained, and a switching time modulation strategy is formed based on the current on-time and off-time of the water cooling device. The temperature of the glove box is regulated by the water cooling device based on the switching time modulation strategy.

6. The self-tuning temperature control method for a glove box as described in claim 1, characterized in that, After triggering the self-tuning operation when switching to the current operating mode for perovskite thin film preparation, the following is also included: The proportional-integral-derivative term parameters are stored as fixed operating condition adjustment parameters for the current operating condition mode; Based on the self-tuning operation, several fixed condition adjustment parameters are obtained when switching to several preparation condition modes, one by one corresponding to several preparation condition modes. A reusable parameter library is formed based on several of the aforementioned fixed operating condition adjustment parameters; When switching to the target operating mode among the several preparation operating modes, the target self-tuning operation is triggered: The target proportional-integral-differential term parameters are obtained based on the reused parameter library and the target operating condition mode; The target switching time modulation strategy is obtained based on the target proportional-integral-differential term parameters, and then the water cooling device is controlled to regulate the temperature of the glove box based on the target switching time modulation strategy.

7. The self-tuning temperature control method for a glove box as described in claim 6, characterized in that, The step of obtaining a target switching time modulation strategy based on the target proportional-integral-differential term parameters, and then controlling the water-cooling device to regulate the temperature of the glove box based on the target switching time modulation strategy, includes: The current temperature data is acquired in real time based on the temperature acquisition module; Obtain the preset target temperature corresponding to the target operating mode, and obtain the real-time temperature deviation based on the preset target temperature and the current temperature data; The target temperature control output value is obtained based on the target proportional-integral-derivative term parameters and the real-time temperature deviation. The on-time and off-time of the water cooling device are obtained based on the target temperature control output value and the preset fixed control cycle, and a target switching time modulation strategy is formed based on the on-time and off-time of the water cooling device. The water-cooling device is controlled to regulate the temperature of the glove box based on the target switching time modulation strategy.

8. A self-tuning temperature control system for a glove box, characterized in that, It includes a glove box, a water-cooling unit, a temperature acquisition module, and a temperature control center, among which: The glove box has a sealed cavity structure; The heat exchange end of the water cooling device extends into the interior of the sealed cavity structure for temperature control of the glove box. The detection end of the temperature acquisition module is located inside the sealed cavity structure and is used to collect real-time temperature data inside the glove box. The temperature acquisition module is electrically connected to the temperature control center, and the water cooling device is electrically connected to the temperature control center. The temperature control center is used to acquire real-time temperature data based on the temperature acquisition module. The temperature control center is also used to trigger a self-tuning operation when switching to the current operating mode of perovskite thin film preparation: obtaining the temperature deviation based on the pre-acquired current target temperature and real-time temperature data, and performing temperature self-tuning calculation based on the pre-acquired current operating condition identification parameters and the temperature deviation to obtain proportional-integral-derivative (PID) parameters; obtaining a switching time modulation strategy based on the PID parameters, and then controlling the water cooling device to regulate the temperature of the glove box based on the switching time modulation strategy.

9. A device, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a self-tuning temperature control method for a glove box as described in any one of claims 1-7.

10. A storage medium, characterized in that, include: A stored computer program, wherein, when the computer program is executed, it controls the device containing the storage medium to perform a self-tuning temperature control method for a glove box as described in any one of claims 1-7.

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