Semiconductor refrigeration incubator dehumidification control method, system, medium and equipment

Abstract

The invention discloses a semiconductor refrigeration incubator dehumidification control method and system, a medium and equipment, and relates to the technical field of dehumidification control. The method comprises the steps that the current temperature and the current humidity of the intelligent incubator are acquired, and the humidity deviation and the humidity to be adjusted are determined based on the current temperature and the current humidity; determining a current dehumidification stage based on the humidity deviation; based on the to-be-adjusted humidity, determining a first adjusting parameter of the upper-layer refrigeration sheet and a second adjusting parameter of the lower-layer refrigeration sheet in the current dehumidification stage; calculating the first power of the upper-layer refrigeration sheet based on the first adjustment parameter, and calculating the second power of the lower-layer refrigeration sheet based on the second adjustment parameter; and controlling the upper-layer refrigeration sheet to operate according to the first power, and controlling the lower-layer refrigeration sheet to operate according to the second power. By implementing the technical scheme provided by the invention, the dehumidification efficiency of the incubator can be improved.

Description

Technical Field

[0001] The present application relates to the field of dehumidification control technology, and in particular to a method, system, medium and equipment for dehumidification control of a semiconductor refrigeration incubator. Background Art

[0002] With the rapid development of biotechnology and medical and health care, smart incubators have been widely used in scientific research, medical and other fields. Smart incubators provide a stable growth environment for the cultivation of cells, microorganisms and other samples by accurately controlling environmental parameters such as temperature and humidity in the incubator. Among them, humidity control is one of the key functions of smart incubators, which directly affects the stability of the culture effect.

[0003] At present, the existing dehumidification control schemes often adopt a unified dehumidification control strategy when dealing with different humidity deviation situations. It is difficult to accurately respond to the requirements of high-precision experimental incubators, resulting in low incubator dehumidification efficiency. Summary of the invention

[0004] The present application provides a semiconductor refrigeration incubator dehumidification control method, system, medium and equipment, which can improve the dehumidification efficiency of the incubator.

[0005] In a first aspect, the present application provides an anti-fraud propaganda method, which is applied to an intelligent incubator, wherein the intelligent incubator includes an upper refrigeration sheet and a lower refrigeration sheet, and the method includes: Acquire the current temperature and the current humidity of the intelligent incubator, and determine the humidity deviation and the humidity to be adjusted based on the current temperature and the current humidity; determining a current dehumidification stage based on the humidity deviation; Determining, based on the humidity to be adjusted, a first adjustment parameter of the upper refrigeration fin and a second adjustment parameter of the lower refrigeration fin in the current dehumidification stage; Calculating a first power of the upper refrigeration fin based on the first adjustment parameter, and calculating a second power of the lower refrigeration fin based on the second adjustment parameter; The upper refrigeration fin is controlled to operate according to the first power, and the lower refrigeration fin is controlled to operate according to the second power.

[0006] By adopting the above technical solution, by obtaining the current temperature and current humidity of the intelligent incubator, and determining the humidity deviation and the humidity to be adjusted based on these parameters, and then determining the current dehumidification stage according to the humidity deviation, it is possible to adopt differentiated control strategies for different dehumidification stages. Then, the first adjustment parameter of the upper refrigeration plate and the second adjustment parameter of the lower refrigeration plate are determined based on the humidity to be adjusted, and these parameters are converted into corresponding power values, and finally the precise control of the two refrigeration plates is achieved. This differentiated control method based on the dehumidification stage can not only provide sufficient dehumidification capacity in the rapid dehumidification stage, but also achieve stable adjustment in the precise dehumidification stage, effectively avoiding the problem of insufficient control accuracy caused by the traditional unified control strategy. At the same time, by reasonably allocating the power of the upper and lower refrigeration plates, the dehumidification effect is guaranteed and the response speed of the system is improved, thereby significantly improving the dehumidification efficiency of the incubator.

[0007] In a second aspect of the present application, a semiconductor refrigeration incubator dehumidification control system is provided, which is applied to an intelligent incubator, wherein the intelligent incubator comprises an upper refrigeration sheet and a lower refrigeration sheet, and the system comprises: A temperature and humidity acquisition module, used to acquire the current temperature and humidity of the intelligent incubator, and determine the humidity deviation and the humidity to be adjusted based on the current temperature and the current humidity; a dehumidification stage determination module, configured to determine a current dehumidification stage based on the humidity deviation; A dehumidification parameter determination module, configured to determine, based on the humidity to be adjusted, a first adjustment parameter of the upper refrigeration plate and a second adjustment parameter of the lower refrigeration plate in the current dehumidification stage; a dehumidification power calculation module, configured to calculate a first power of the upper refrigeration fin based on the first adjustment parameter, and to calculate a second power of the lower refrigeration fin based on the second adjustment parameter; The dehumidification control module is used to control the upper refrigeration fins to operate according to the first power, and to control the lower refrigeration fins to operate according to the second power.

[0008] In a third aspect of the present application, a computer storage medium is provided, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing the above method steps.

[0009] In a fourth aspect of the present application, an electronic device is provided, comprising: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0010] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: This application obtains the current temperature and humidity of the intelligent incubator, and determines the humidity deviation and the humidity to be adjusted based on these parameters, and then determines the current dehumidification stage according to the humidity deviation, so that differentiated control strategies can be adopted for different dehumidification stages. Then, the first adjustment parameter of the upper refrigeration plate and the second adjustment parameter of the lower refrigeration plate are determined based on the humidity to be adjusted, and these parameters are converted into corresponding power values, and finally the precise control of the two refrigeration plates is achieved. This differentiated control method based on the dehumidification stage can not only provide sufficient dehumidification capacity in the rapid dehumidification stage, but also achieve stable adjustment in the precise dehumidification stage, effectively avoiding the problem of insufficient control accuracy caused by the traditional unified control strategy. At the same time, by reasonably allocating the power of the upper and lower refrigeration plates, the dehumidification effect is guaranteed, and the response speed of the system is improved, thereby significantly improving the dehumidification efficiency of the incubator. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a flow chart of a semiconductor refrigeration incubator dehumidification control method provided in an embodiment of the present application; Figure 2 It is a module schematic diagram of a semiconductor refrigeration incubator dehumidification control system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0012] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0013] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0014] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0015] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0016] The following will provide a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0017] Please refer to Figure 1 , a flow chart of a semiconductor refrigeration incubator dehumidification control method is proposed, the method can be implemented by a computer program, can be implemented by a single-chip microcomputer, and can also be run on a semiconductor refrigeration incubator dehumidification control system, the computer program can be integrated in a computer device, and can also be run as an independent tool application. Specifically, the method includes steps 10 to 50, and the above steps are as follows: Step 10: Obtain the current temperature and humidity of the smart incubator, and determine the humidity deviation and the humidity to be adjusted based on the current temperature and humidity.

[0018] In the present application, the smart incubator refers to a professional device for providing a stable culture environment for biological samples, which can be applied to the fields of biomedical research, medical testing, microbial culture, etc. For example, it can be used for cell culture, tissue culture, bacterial culture, virus culture, and clinical medical sample preservation.

[0019] The intelligent incubator includes a box, a control system, a display module, a sensor system and a temperature and humidity control device. The box is made of thermal insulation material and is provided with a plurality of adjustable shelves for placing culture dishes or other containers. The control system is connected to the display module for displaying and setting the environmental parameters in the box. The sensor system includes a temperature sensor and a humidity sensor for real-time monitoring of the environmental status in the box. The temperature and humidity control device is mainly composed of an upper refrigeration sheet and a lower refrigeration sheet, both of which are semiconductor refrigeration elements. The upper refrigeration sheet is installed on the upper part of the box, mainly for preliminary cooling and dehumidification; the lower refrigeration sheet is installed on the lower part of the box for further adjusting the temperature and humidity. The cold end of the refrigeration sheet faces the inside of the box, and the hot end discharges the heat from the box through the radiator. When the refrigeration sheet is working, its surface temperature decreases, and condensation occurs when the air in the box contacts the cold surface, thereby achieving a dehumidification effect. The working principle of the intelligent incubator is: the temperature and humidity status in the box is continuously monitored by the sensor, and the control system automatically adjusts the working status of the two refrigeration sheets according to the monitoring data to achieve precise control of the environment in the box. In specific applications, the corresponding target temperature and humidity parameters can be set according to the needs of different culture objects, and the system will automatically maintain the set environmental conditions.

[0020] In the embodiment of the present application, humidity deviation refers to the difference between the current humidity of the smart incubator and the target humidity. This parameter reflects the degree of deviation between the current humidity in the box and the expected humidity, and is an important basis for the system to judge the dehumidification demand.

[0021] The humidity to be adjusted in the embodiment of the present application refers to the humidity value that actually needs to be adjusted and is dynamically calculated based on the current working state.

[0022] Specifically, the current temperature and humidity in the box are collected by the temperature sensor and humidity sensor set in the intelligent incubator. After obtaining these parameters, the system first compares the current humidity with the preset target humidity, and calculates the difference between the two as the humidity deviation. At the same time, it is also necessary to query the corresponding saturated humidity value according to the current temperature, and calculate the difference between the current humidity and the saturated humidity, that is, the humidity margin. This calculation process takes into account the impact of temperature on humidity control, because the maximum moisture content that the air can accommodate is different at different temperatures. After determining the humidity margin, the humidity to be adjusted is dynamically determined according to different humidity margin ranges.

[0023] Based on the above embodiment, as an optional embodiment, the step of determining the humidity deviation and the humidity to be adjusted based on the current temperature and the current humidity may further include the following steps: Step 101: Determine the difference between the current humidity and the target humidity as the humidity deviation.

[0024] Specifically, the humidity sensor collects the current humidity value, for example, the current humidity is 75%RH, and obtains the target humidity value preset by the system, for example, the target humidity is 65%RH. The control system calculates the difference between the current humidity and the target humidity, that is, 75%RH-65%RH=10%RH, and determines the difference of 10%RH as the humidity deviation. This difference calculation method intuitively reflects the degree of deviation of the current ambient humidity from the target value.

[0025] Step 102: Obtain the saturated humidity at the current temperature.

[0026] Specifically, the current temperature value is obtained through the temperature sensor, for example, the current temperature is 37°C. Since the maximum moisture content that can be contained in the air is different at different temperatures, the system needs to determine the corresponding saturated humidity value according to the current temperature. The control system pre-stores a corresponding relationship table between temperature and saturated humidity, which records the saturated humidity data corresponding to different temperature points. For example, the corresponding saturated humidity at 37°C is 95%RH. By looking up the table, the corresponding saturated humidity value of 95%RH is directly obtained according to the current temperature of 37°C. When the temperature value falls between two temperature points in the table, the system calculates the corresponding saturated humidity value through linear interpolation method to ensure accurate saturated humidity data.

[0027] Step 103: Calculate the humidity margin between the current humidity and the saturated humidity.

[0028] Specifically, after obtaining the saturated humidity and current humidity, the humidity margin is determined by calculating the difference between the saturated humidity and the current humidity. For example, when the saturated humidity is 95%RH and the current humidity is 75%RH, the humidity margin is 95%RH-75%RH=20%RH. This humidity margin indicates the amount of moisture that can be contained in the air at the current temperature, and is an important reference value for the system to determine the dehumidification space.

[0029] Step 104: Determine the humidity to be adjusted based on the humidity margin.

[0030] Specifically, a segmented control strategy is used based on the calculated humidity margin to determine the humidity to be adjusted. The system pre-sets two humidity margin thresholds as judgment criteria, such as a first preset value of 25%RH and a second preset value of 15%RH, and presets two adjustment coefficients, such as a first coefficient of 0.9 and a second coefficient of 0.8. When the system detects that the humidity margin is greater than the first preset value of 25%RH, it indicates that the current environment is still far from the saturation state, and a more active dehumidification strategy can be adopted at this time. For example, when the humidity margin is 30%RH and the target humidity is 65%RH, the target humidity of 65%RH is directly used as the humidity to be adjusted without adjusting the coefficient. This strategy can quickly adjust the ambient humidity to the target value and improve the dehumidification efficiency. When the system detects that the humidity margin falls between the first preset value of 25%RH and the second preset value of 15%RH, it indicates that the space between the current environment and the saturation state has been reduced, and a relatively conservative dehumidification strategy needs to be adopted. At this time, the system multiplies the target humidity by the first coefficient of 0.9 to determine the humidity to be adjusted. For example, when the humidity margin is 20%RH and the target humidity is 65%RH, the humidity to be adjusted calculated by the system is 65%RH×0.9=58.5%RH. This method of moderately reducing the dehumidification target can avoid excessive dehumidification while still maintaining a reasonable dehumidification efficiency. When the system detects that the humidity margin is less than or equal to the second preset value of 15%RH, it indicates that the current environment is close to saturation, and a more cautious dehumidification strategy is needed. The system multiplies the target humidity by the second coefficient 0.8 to determine the humidity to be adjusted. For example, when the humidity margin is 10%RH and the target humidity is 65%RH, the humidity to be adjusted calculated by the system is 65%RH×0.8=52%RH. This method of significantly reducing the dehumidification target can effectively prevent condensation caused by excessive dehumidification and ensure the safe operation of the system. Through this three-stage dynamic adjustment mechanism based on humidity margin, the system can adaptively adjust the dehumidification strategy under different working conditions.

[0031] Step 20: Determine the current dehumidification stage based on the humidity deviation.

[0032] Specifically, the current dehumidification stage is determined according to the calculated humidity deviation so as to adopt the corresponding control strategy. The system pre-sets two humidity deviation thresholds as judgment criteria, namely, the first threshold is 10%RH and the second threshold is 5%RH. This staged control strategy based on humidity deviation enables the system to adopt the optimal control scheme under different dehumidification requirements. The control system first obtains the current humidity deviation value. For example, when the current humidity is 75%RH and the target humidity is 65%RH, the calculated humidity deviation is 10%RH. The system compares the humidity deviation with the two preset thresholds to determine which dehumidification stage it is currently in. For example, when the humidity deviation is greater than the first threshold of 10%RH, the system determines that it is currently in the rapid dehumidification stage, and a larger cooling capacity is required to quickly reduce the ambient humidity; when the humidity deviation is less than or equal to the first threshold of 10%RH and greater than the second threshold of 5%RH, the system determines that it is currently in the transition dehumidification stage, and a moderate cooling capacity is required to steadily adjust the ambient humidity; when the humidity deviation is less than or equal to the second threshold of 5%RH, the system determines that it is currently in the fine dehumidification stage, and a smaller cooling capacity is required to accurately adjust the ambient humidity.

[0033] Based on the above embodiment, as an optional embodiment, the step of determining the current dehumidification stage based on the humidity deviation may further include the following steps: Step 201: Calculate the rate of change of humidity deviation.

[0034] Specifically, the embodiment of the present application not only takes into account the humidity deviation, but also introduces the rate of change of the humidity deviation as a basis for judgment, so as to achieve a more accurate dehumidification stage division. First, the rate of change of the humidity deviation is calculated. The system collects the humidity deviation value once every fixed time interval (for example, 1 minute), and obtains the rate of change of the humidity deviation by calculating the difference between the humidity deviations of two adjacent samples and dividing it by the sampling time interval. For example, if the humidity deviation at time T1 is 12%RH, and the humidity deviation at time T2 one minute later is 11%RH, the calculated rate of change is (11%RH-12%RH) / 1min=-1%RH / min, and a negative value indicates that the humidity deviation is decreasing. By calculating this rate of change in real time, the system can effectively judge the dynamic change trend of the dehumidification process.

[0035] Step 202: When the humidity deviation is greater than the deviation threshold, it is determined that the current dehumidification stage is a rapid dehumidification stage.

[0036] Specifically, the system pre-sets the deviation threshold of 8%RH and the rate threshold of 0.5%RH / min as the judgment criteria. When the humidity deviation is greater than the deviation threshold of 8%RH, regardless of the rate of change, it will be determined that the current stage is rapid dehumidification. In this stage, due to the large gap between the ambient humidity and the target value, the system needs to use a larger cooling capacity for rapid dehumidification.

[0037] Step 203: When the humidity deviation is less than or equal to the deviation threshold, and the change rate is greater than the rate threshold, it is determined that the current dehumidification stage is a transition dehumidification stage.

[0038] Specifically, when the humidity deviation drops to less than or equal to the deviation threshold of 8%RH, the system will further determine the magnitude of the change rate. If the change rate is greater than the rate threshold of 0.5%RH / min, it means that the humidity is still decreasing rapidly. The system will determine that it is currently in the transition dehumidification stage and needs to appropriately reduce the cooling capacity to prevent over-dehumidification.

[0039] Step 204: When the humidity deviation is less than or equal to the deviation threshold, and the change rate is less than or equal to the rate threshold, it is determined that the current dehumidification stage is a precise dehumidification stage.

[0040] Specifically, when the humidity deviation is less than or equal to the deviation threshold of 8%RH, and the rate of change is less than or equal to the rate threshold of 0.5%RH / min, the system determines that it is currently in the precise dehumidification stage, and a sophisticated control strategy is required to maintain a stable humidity environment.

[0041] For example, in the initial state of the incubator, the current humidity is 75%RH, the target humidity is 65%RH, and the calculated humidity deviation is 10%RH, which is greater than the deviation threshold of 8%RH. The system determines that it is currently in the rapid dehumidification stage. As the dehumidification process proceeds, when the humidity drops to 71%RH, the humidity deviation becomes 6%RH, which is less than the deviation threshold of 8%RH. At this time, the calculated rate of change is -0.8%RH / min, which is greater than the rate threshold of 0.5%RH / min, and the system switches to the transitional dehumidification stage. Finally, when the humidity approaches the target value, such as when the humidity is 67%RH, the humidity deviation is 2%RH, and the rate of change drops to 0.3%RH / min, the system switches to the precise dehumidification stage.

[0042] Step 30: Determine the first adjustment parameter of the upper refrigeration plate and the second adjustment parameter of the lower refrigeration plate in the current dehumidification stage based on the humidity to be adjusted.

[0043] The first adjustment parameter in the embodiment of the present application refers to the dehumidification control parameter used in the rapid dehumidification stage and the balanced dehumidification stage, which is used to adjust the compressor speed of the refrigeration system. This parameter is positively correlated with the humidity deviation, that is, the larger the humidity deviation, the larger the first adjustment parameter, thereby driving the compressor to run at a higher speed to achieve a rapid dehumidification effect. The calculation of the first adjustment parameter needs to take into account the current humidity deviation and the humidity to be adjusted to ensure that the appropriate control amount can be obtained under different working conditions.

[0044] The second adjustment parameter in the embodiment of the present application refers to the dehumidification control parameter used in the fine dehumidification stage, which is used to adjust the opening of the electronic expansion valve of the refrigeration system. This parameter is positively correlated with the humidity to be adjusted, and fine humidity adjustment is achieved by accurately controlling the opening of the electronic expansion valve. The design of the second adjustment parameter fully considers the system's high requirements for control accuracy when approaching the target humidity, and can effectively avoid humidity fluctuations and over-adjustment.

[0045] Specifically, this embodiment provides a layered collaborative dehumidification control method based on humidity margin and humidity deviation. A three-stage control strategy is adopted according to the humidity margin to determine the humidity to be adjusted. When the humidity margin is greater than the first preset value of 25%RH, the target humidity is directly used as the humidity to be adjusted; when the humidity margin is between the first preset value of 25%RH and the second preset value of 15%RH, the product of the target humidity and the first coefficient of 0.9 is used as the humidity to be adjusted; when the humidity margin is less than the second preset value of 15%RH, the product of the target humidity and the second coefficient of 0.8 is used as the humidity to be adjusted. According to the determined humidity to be adjusted and the current dehumidification stage, a layered collaborative control strategy is adopted to set the adjustment parameters of the upper and lower refrigeration plates. For example, in the rapid dehumidification stage, the first adjustment parameter of the upper cooling plate is set to 80%-100%, and the second adjustment parameter of the lower cooling plate is set to 50%-70%; in the transitional dehumidification stage, the first adjustment parameter is reduced to 60%-80%, and the second adjustment parameter is adjusted to 40%-60%; in the precise dehumidification stage, the first adjustment parameter is further reduced to 40%-60%, and the second adjustment parameter is reduced to 30%-50%. Through this hierarchical collaborative control, the unity of rapid response and precise adjustment is achieved, and the control accuracy and energy utilization efficiency of the system are improved.

[0046] Based on the above embodiment, as another optional embodiment, the step of determining the first adjustment parameter of the upper refrigeration plate and the second adjustment parameter of the lower refrigeration plate in the current dehumidification stage based on the humidity to be adjusted may further include the following steps: Step 301: When the current dehumidification stage is the rapid dehumidification stage, the current adjustment parameters of the upper refrigeration plate and the lower refrigeration plate are respectively increased by a preset step size to obtain a first adjustment parameter and a second adjustment parameter.

[0047] Specifically, when the system determines that it is currently in the rapid dehumidification stage, it is necessary to increase the cooling power of the refrigeration plate to speed up the dehumidification speed. Considering the humidity distribution characteristics and dehumidification efficiency requirements in the incubator, the system adopts a control strategy of synchronously increasing the adjustment parameters of the upper and lower refrigeration plates. This coordinated increase control method can maintain the relative uniformity of the temperature and humidity field in the box while ensuring the rapid dehumidification effect. The system first obtains the current adjustment parameters of the upper and lower refrigeration plates. For example, the current adjustment parameter of the upper refrigeration plate is 60%, and the current adjustment parameter of the lower refrigeration plate is 40%. The system pre-sets the adjustment step for the rapid dehumidification stage, and the preset step is 5%. Based on the current adjustment parameters and the preset step, the new adjustment parameters of the two refrigeration plates are calculated respectively. The current adjustment parameter 60% of the upper refrigeration plate is increased by the preset step of 5%, and the first adjustment parameter 65% is obtained; similarly, the current adjustment parameter 40% of the lower refrigeration plate is increased by the preset step of 5%, and the second adjustment parameter 45% is obtained.

[0048] During actual operation, the system will continuously monitor changes in ambient humidity. If it detects that the humidity drop rate is not ideal, the system will increase the preset step size again in the next control cycle until the predetermined maximum adjustment parameter limit is reached. For example, when the first adjustment parameter reaches 90% or the second adjustment parameter reaches 70%, the system will no longer increase the adjustment parameter to prevent the refrigeration unit from overloading. This gradual increase in adjustment parameters ensures a faster dehumidification speed and avoids drastic fluctuations in the refrigeration system.

[0049] Step 302: When the current dehumidification stage is a transition dehumidification stage, the current adjustment parameter of the upper refrigeration plate is reduced or increased by the first step length according to the humidity to be adjusted, and the current adjustment parameter of the lower refrigeration plate is increased or decreased by the second step length to obtain the first adjustment parameter and the second adjustment parameter.

[0050] Specifically, when the system is in the transitional dehumidification stage, it is necessary to dynamically adjust the adjustment parameters of the upper and lower refrigeration plates according to the humidity to be adjusted to achieve a smooth transition. This differentiated adjustment strategy fully considers the particularity of the transition stage. Through the reverse adjustment of the upper and lower refrigeration plates, it not only ensures the dehumidification effect but also avoids drastic fluctuations. The system pre-sets the first step length to 3% and the second step length to 2%. This different step length setting reflects the different roles of the upper and lower refrigeration plates in the dehumidification process.

[0051] First, the current humidity is compared with the humidity to be adjusted. When the current humidity is greater than the humidity to be adjusted, it indicates that dehumidification still needs to be continued. At this time, the system increases the current adjustment parameter of the upper cooling plate by the first step length of 3%, and reduces the current adjustment parameter of the lower cooling plate by the second step length of 2%. This adjustment method enhances the dehumidification capacity of the upper layer while appropriately reducing the power of the lower cooling plate to avoid excessive dehumidification. When the current humidity is less than the humidity to be adjusted, it indicates that the dehumidification speed needs to be slowed down. The system reduces the current adjustment parameter of the upper cooling plate by the first step length of 3%, and increases the current adjustment parameter of the lower cooling plate by the second step length of 2%. This adjustment method slows down the main dehumidification effect by reducing the power of the upper cooling plate, and provides more refined humidity adjustment by increasing the power of the lower cooling plate.

[0052] During actual operation, the system will continuously monitor the humidity change trend and adjust the parameters in each control cycle. For example, when the system detects that the current humidity is 68%RH and the humidity to be adjusted is 65%RH, it will execute the adjustment strategy of increasing the upper layer and reducing the lower layer; and when the humidity drops to 63%RH, it will execute the adjustment strategy of reducing the upper layer and increasing the lower layer. This dynamic adjustment mechanism ensures that the system can adjust the control strategy in time according to the actual situation and maintain a moderate dehumidification rate.

[0053] Step 303: When the current dehumidification stage is the precise dehumidification stage, the first adjustment parameter is determined as the standby parameter, and the second adjustment parameter is determined based on the humidity to be adjusted and the PID algorithm.

[0054] Specifically, when the system enters the precise dehumidification stage, a strategy combining the upper cooling fin standby and the lower cooling fin PID control is adopted to achieve high-precision humidity regulation. This control method fully considers the strict requirements for control accuracy in the precise dehumidification stage. By setting the upper cooling fin to standby, large humidity fluctuations are avoided. At the same time, the PID control of the lower cooling fin is used to achieve precise regulation, which not only ensures control accuracy but also improves the energy efficiency of the system.

[0055] The first adjustment parameter of the upper refrigeration plate is set to the standby parameter of 30%. This value is selected to keep the upper refrigeration plate at the minimum basic cooling capacity, which can prevent the ambient humidity from rising significantly and will not interfere with precise control. For the lower refrigeration plate, the system uses the PID control algorithm to dynamically calculate the second adjustment parameter. The system pre-sets the control parameters of the PID controller with a proportional coefficient Kp of 0.8, an integral time Ti of 120 seconds, and a differential time Td of 30 seconds. The selection of these parameters is based on a large amount of experimental data optimization, which can ensure that the system has good dynamic response characteristics.

[0056] In the PID control process, the deviation value e(t) between the current humidity and the humidity to be adjusted is first calculated. For example, when the current humidity is 66%RH and the humidity to be adjusted is 65%RH, the deviation value e(t) is 1%RH. Based on this deviation value, the PID controller calculates the proportional term, integral term, and differential term, and adds them together to obtain the control quantity u(t). The specific calculation formula can be: u(t)=Kp[e(t)+(1 / Ti)∫e(t)dt+Td(de(t) / dt)]; the proportional term Kp provides basic regulation, the integral term is used to eliminate static errors, and the differential term is used to suppress fluctuations and improve response speed. The system maps the calculated control quantity u(t) to the value range of the second regulation parameter, for example, limiting it to between 30% and 50%, to ensure that the lower refrigeration plate operates within a reasonable working range.

[0057] In actual operation, the system will continuously perform PID calculations and parameter adjustments at a fixed sampling period (such as 1 second). For example, when a large humidity deviation is detected, the PID controller will increase the second adjustment parameter accordingly; when the deviation decreases, the adjustment parameter will be gradually reduced. This continuous dynamic adjustment ensures that the system can respond to small changes in ambient humidity in real time and maintain precise humidity control.

[0058] Step 40: Calculate the first power of the upper cooling fin based on the first adjustment parameter, and calculate the second power of the lower cooling fin based on the second adjustment parameter.

[0059] Specifically, the system needs to convert the first adjustment parameter and the second adjustment parameter into actual cooling power to achieve precise control of the upper and lower cooling plates. This power conversion takes into account the working characteristics of the cooling plate and the actual needs of the system, and ensures that the cooling plate can obtain the best working efficiency under different working conditions through nonlinear mapping relationships, while ensuring the stability and reliability of the system.

[0060] In an implementable manner, a piecewise function can be used to convert the power of the adjustment parameter. For the upper cooling plate, when the first adjustment parameter is less than 50%, a quadratic function relationship is used for conversion, and the first adjustment parameter is mapped to a lower power range to achieve fine adjustment; when the first adjustment parameter is greater than or equal to 50%, a linear function relationship is used for conversion to ensure good adjustment characteristics in the high power range. For example, when the first adjustment parameter is 40%, through the formula P 1 =0.4×(X 1 )² The first power is calculated to be 6.4 (where X 1 is the first adjustment parameter); when the first adjustment parameter is 80%, by formula P 1 =12+0.2×(X 1-50) is calculated to obtain a first power of 18.

[0061] For the lower cooling plate, considering that it is mainly used for precise adjustment, the system adopts a three-stage conversion strategy. When the second adjustment parameter is less than 30%, a smaller conversion coefficient of 0.1 is used for linear conversion; when the second adjustment parameter is between 30% and 70%, a medium conversion coefficient of 0.15 is used for linear conversion; when the second adjustment parameter is greater than 70%, a larger conversion coefficient of 0.2 is used for linear conversion. For example, when the second adjustment parameter is 25%, through the formula P 2 =0.1×X 2 The second power is calculated to be 2.5 (where X 2 is the second adjustment parameter); when the second adjustment parameter is 50%, by formula P 2 =3+0.15×(X 2 -30) to obtain the second power of 6; when the second adjustment parameter is 80%, the formula P 2 =9+0.2×(X 2 -70) the second power is calculated to be 11.

[0062] Based on the above embodiment, as another optional embodiment, the step of calculating the first power of the upper cooling fin based on the first adjustment parameter may further include the following steps: Step 401: Obtain a power consumption characteristic curve of an upper cooling plate, and determine a power value of a target operating point based on the power consumption characteristic curve.

[0063] Specifically, the power consumption characteristic curve of the upper cooling plate is obtained through the built-in characteristic database, which reflects the relationship between the power consumption and cooling capacity of the cooling plate under different working conditions. The characteristic curve collected by the system contains multiple key parameters, such as input current, hot end temperature, cold end temperature and ambient temperature. For example, under standard working conditions (ambient temperature 25℃, hot end temperature 40℃), the system records the cooling capacity data corresponding to the power point of 0.5W every 0.5W from the minimum power of 2W to the maximum power of 20W, forming a complete characteristic curve. Based on the obtained power consumption characteristic curve, the interpolation algorithm is used to determine the power value of the target working point. First, the closest data point is located on the characteristic curve according to the current working conditions (such as the current temperature and the target cooling capacity). Then, the cubic spline interpolation method is used to calculate the precise target working point power value. For example, when the target cooling capacity is 15W, the corresponding optimal power value is 12.5 obtained by interpolation calculation. This power value can not only meet the cooling demand, but also ensure that the cooling plate works in a higher energy efficiency ratio range.

[0064] Step 402: Calculate the ratio of the first adjustment parameter to the preset standard parameter.

[0065] Specifically, after determining the target operating point power value, the ratio of the first adjustment parameter to the preset standard parameter is calculated. The system presets the standard parameter to be 60%, which represents the typical adjustment parameter of the refrigeration plate under normal working conditions. By calculating the ratio, the system can evaluate the degree of deviation between the current working state and the standard state. For example, when the first adjustment parameter is 72%, the calculated ratio is 1.2, indicating that the current working intensity of the refrigeration plate is higher than the standard state; when the first adjustment parameter is 48%, the calculated ratio is 0.8, indicating that the current working intensity is lower than the standard state.

[0066] In actual operation, the power consumption characteristic curve can be updated in real time to adapt to the change of the performance of the cooling plate over time. For example, when the system detects that the cooling plate has been working for more than half a month, it will automatically perform a calibration test on the characteristic curve and update the curve parameters to ensure control accuracy. At the same time, the system will also adjust the control strategy according to the trend of the ratio. When the ratio continues to deviate from 1.0 for more than the preset time, the system will start the optimization program to find the optimal working point again.

[0067] Step 403: The product of the ratio and the power value of the target operating point is used as the reference power.

[0068] Specifically, the ratio of the first adjustment parameter to the standard parameter is multiplied by the power value of the target operating point to obtain the reference power. For example, when the ratio is 1.2 (the first adjustment parameter is 72%, the standard parameter is 60%), and the power value of the target operating point is 12.5W, the calculated reference power is 15W (1.2×12.5W). This calculation method takes into account the deviation between the current working state and the standard state, and also includes the power demand after the working point is optimized, so that the reference power can more accurately reflect the actual working demand.

[0069] Step 404: Temperature compensation is performed on the reference power according to the current humidity to obtain the first power.

[0070] Specifically, the system pre-establishes a temperature compensation coefficient table, which records the compensation coefficients corresponding to different temperature ranges. For example, in the temperature range of 15℃ to 35℃, a compensation coefficient is set every 2℃. When the temperature is 25℃, the compensation coefficient is 1.0; when the temperature is higher than 25℃, the compensation coefficient is greater than 1.0, indicating that the power needs to be increased to compensate for the decrease in heat dissipation capacity; when the temperature is lower than 25℃, the compensation coefficient is less than 1.0, indicating that the power can be appropriately reduced to save energy. When performing temperature compensation, the system uses a piecewise linear interpolation method to calculate the precise compensation coefficient. For example, when the temperature is 28℃, it is between 27℃ (compensation coefficient 1.1) and 29℃ (compensation coefficient 1.2), and the compensation coefficient calculated by linear interpolation is 1.15. Multiply the base power 15W by the compensation coefficient 1.15, and the first power is finally obtained as 17.25W. This compensation mechanism ensures that the refrigeration plate can maintain a stable cooling effect at different ambient temperatures.

[0071] Step 50: Control the upper refrigeration fins to operate at a first power, and control the lower refrigeration fins to operate at a second power.

[0072] Specifically, the system uses a PWM (pulse width modulation) signal to control the power output of the upper cooling plate. The first power value is converted into a corresponding PWM duty cycle, and the frequency of the PWM signal is set to 1kHz, which ensures smooth control without causing frequent switching of the cooling plate. For example, when the first power is 17.25W, the system first converts it into a corresponding PWM duty cycle of 86.25% (assuming that the rated power of the cooling plate is 20W). In order to improve the control accuracy, the system uses a 12-bit PWM controller and divides the duty cycle into 4096 levels, which can achieve a regulation accuracy of 0.025%.

[0073] At the same time, the system controls the power output of the lower cooling plate through another independent PWM channel. Considering that the lower cooling plate is mainly responsible for fine adjustment, the system adopts a more precise control strategy for it. For example, when the second power is 6W, the system uses a 16-bit PWM controller (65536 levels) to generate precise control signals to ensure the stability of power output. In addition, the system also implements a soft start strategy to gradually increase the PWM duty cycle from 0% to the target value at startup to avoid sudden power changes from causing shocks to the cooling plate.

[0074] During actual operation, the working status of the cooling plate is monitored and adjusted in real time through a closed-loop feedback mechanism. Each cooling plate is equipped with a temperature sensor and a current detection circuit, and the system samples these parameters every 100ms. When a deviation between the actual power and the set power is detected, the system automatically adjusts the duty cycle of the PWM signal. For example, if the actual power of the upper cooling plate is detected to be 16.8W, which is lower than the set 17.25W, the system will appropriately increase the PWM duty cycle to compensate for this deviation. At the same time, the system will also monitor the temperature change trend of the cooling plate. When the temperature rises above the preset threshold, the protection mechanism will be triggered to temporarily reduce the power output.

[0075] Based on the above embodiment, as an optional embodiment, a semiconductor refrigeration incubator dehumidification control method may also include the following process: Specifically, the system continuously monitors the humidity changes in the incubator through a high-precision humidity sensor, assuming that the preset normal humidity range is 60%RH to 70%RH, and the sampling frequency is once per second. When it is detected that the current humidity exceeds this range for 5 consecutive seconds, the system determines that an abnormal situation has occurred. For example, when the humidity rises to 72%RH and lasts for more than 5 seconds, the system immediately activates the early warning mechanism. The early warning information is issued in a variety of ways, including displaying a flashing red warning light on the control panel, emitting intermittent beeps (frequency of 1Hz), and sending mobile phone text message notifications to managers, etc., to ensure that abnormal situations can be handled in a timely manner.

[0076] After entering the early warning state, the system starts the preset step-by-step adjustment strategy, which is divided into three levels, and the response measures are upgraded step by step according to the degree of humidity deviation. In the first level response (humidity deviation is less than 5%RH), the system increases the first power of the upper cooling plate by 20% and the second power of the lower cooling plate by 10%, and shortens the sampling period of PID control from 1 second to 0.5 seconds to improve the response speed of the system. If the humidity has not returned to the normal range after 2 minutes, the system enters the second level response.

[0077] In the second level response (humidity deviation between 5%RH and 10%RH), the system further increases the first power of the upper cooling plate to 80% of the maximum power, the second power of the lower cooling plate to 60% of the maximum power, and starts the auxiliary dehumidification fan to increase the air circulation speed. The system also adjusts the PID control parameters and increases the proportional coefficient by 50% to speed up the adjustment speed. If the humidity is still not effectively controlled after 3 minutes, the system enters the third level response.

[0078] The third level response (humidity deviation greater than 10%RH) is the highest level of emergency measures. The system adjusts the first power of the upper cooling plate to 100% of the maximum power, and the second power of the lower cooling plate to 80% of the maximum power, and starts the backup dehumidification system (if configured). The system will also automatically record the operating parameters at this time, including temperature, humidity change curve, cooling plate power data, etc., to provide a basis for subsequent analysis and optimization.

[0079] While executing the step-by-step adjustment strategy, the system continuously monitors temperature changes to prevent drastic temperature fluctuations during the dehumidification process. If the temperature change is detected to exceed ±2°C, the system will adjust the power output accordingly to maintain temperature stability while ensuring the dehumidification effect. When the humidity returns to the normal range and remains stable for 30 seconds, the system automatically releases the warning state and gradually adjusts the parameters back to normal working conditions. This process adopts a gradual change method to avoid sudden state switching.

[0080] See also Figure 2 , is a schematic diagram of a module of a semiconductor refrigeration incubator dehumidification control system provided in an embodiment of the present application, wherein the system includes: A temperature and humidity acquisition module, used to acquire the current temperature and humidity of the intelligent incubator, and determine the humidity deviation and the humidity to be adjusted based on the current temperature and the current humidity; a dehumidification stage determination module, configured to determine a current dehumidification stage based on the humidity deviation; A dehumidification parameter determination module, configured to determine, based on the humidity to be adjusted, a first adjustment parameter of the upper refrigeration plate and a second adjustment parameter of the lower refrigeration plate in the current dehumidification stage; a dehumidification power calculation module, configured to calculate a first power of the upper refrigeration fin based on the first adjustment parameter, and to calculate a second power of the lower refrigeration fin based on the second adjustment parameter; The dehumidification control module is used to control the upper refrigeration fins to operate according to the first power, and to control the lower refrigeration fins to operate according to the second power.

[0081] Optionally, the temperature and humidity acquisition module is further used to determine the difference between the current humidity and the target humidity as the humidity deviation; Obtaining the saturated humidity at the current temperature; Calculating a humidity margin between the current humidity and the saturated humidity; The humidity to be adjusted is determined based on the humidity margin.

[0082] Optionally, the temperature and humidity acquisition module is further configured to determine the target humidity as the humidity to be adjusted when the humidity margin is greater than a first preset value; When the humidity margin is less than or equal to the first preset value and greater than a second preset value, the product of the target humidity and a first coefficient is determined as the humidity to be adjusted, wherein the first coefficient is less than 1; When the humidity margin is less than or equal to the second preset value, the product of the target humidity and a second coefficient is determined as the humidity to be adjusted, wherein the second coefficient is smaller than the first coefficient.

[0083] Optionally, the dehumidification stage determination module is further used to calculate the rate of change of the humidity deviation; When the humidity deviation is greater than the deviation threshold, determining that the current dehumidification stage is a rapid dehumidification stage; When the humidity deviation is less than or equal to the deviation threshold, and the change rate is greater than the rate threshold, determining that the current dehumidification stage is a transition dehumidification stage; When the humidity deviation is less than or equal to the deviation threshold, and the change rate is less than or equal to the rate threshold, it is determined that the current dehumidification stage is a precise dehumidification stage.

[0084] Optionally, the dehumidification parameter determination module is further used to, when the current dehumidification stage is a rapid dehumidification stage, respectively increase the current adjustment parameters of the upper refrigeration plate and the lower refrigeration plate by a preset step size to obtain a first adjustment parameter and a second adjustment parameter; When the current dehumidification stage is a transition dehumidification stage, the current adjustment parameter of the upper refrigeration plate is reduced or increased by a first step length according to the humidity to be adjusted, and the current adjustment parameter of the lower refrigeration plate is increased or decreased by a second step length to obtain a first adjustment parameter and a second adjustment parameter; When the current dehumidification stage is the precise dehumidification stage, the first adjustment parameter is determined to be a standby parameter, and the second adjustment parameter is determined based on the humidity to be adjusted and a PID algorithm.

[0085] Optionally, the dehumidification power calculation module is further used to obtain a power consumption characteristic curve of the upper refrigeration plate, and determine a power value of a target working point based on the power consumption characteristic curve; Calculating a ratio of the first adjustment parameter to a preset standard parameter; Taking the product of the ratio and the power value of the target operating point as the reference power; The reference power is temperature compensated according to the current humidity to obtain the first power.

[0086] Optionally, the dehumidification control module is further used to determine in real time whether the current humidity of the intelligent incubator exceeds a preset humidity range; If the current humidity exceeds a preset humidity range, a warning message is issued and a warning state is entered, wherein in the warning state, the first power and the second power are adjusted according to a preset step-by-step adjustment strategy.

[0087] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0088] An embodiment of the present application also provides a computer storage medium, which can store multiple instructions. The instructions are suitable for being loaded by a processor and executing a semiconductor refrigeration incubator dehumidification control method of the above embodiment. The specific execution process can be found in the specific description of the above embodiment, which will not be repeated here.

[0089] Please refer to Figure 3 The application also discloses an electronic device. Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0090] The communication bus 302 is used to realize the connection and communication between these components.

[0091] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0092] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0093] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0094] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a semiconductor refrigeration incubator dehumidification control method.

[0095] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program of a semiconductor refrigeration incubator dehumidification control method stored in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0096] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0098] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0099] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0100] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0101] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0102] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A semiconductor refrigeration incubator dehumidification control method, characterized in that: Applied to an intelligent incubator, the intelligent incubator includes an upper refrigeration sheet and a lower refrigeration sheet, and the method includes: Acquire the current temperature and the current humidity of the intelligent incubator, and determine the humidity deviation and the humidity to be adjusted based on the current temperature and the current humidity; determining a current dehumidification stage based on the humidity deviation; Determining, based on the humidity to be adjusted, a first adjustment parameter of the upper refrigeration fin and a second adjustment parameter of the lower refrigeration fin in the current dehumidification stage; Calculating a first power of the upper refrigeration fin based on the first adjustment parameter, and calculating a second power of the lower refrigeration fin based on the second adjustment parameter; The upper refrigeration fin is controlled to operate according to the first power, and the lower refrigeration fin is controlled to operate according to the second power.

2. The semiconductor refrigeration incubator dehumidification control method according to claim 1, characterized in that: The determining the humidity deviation and the humidity to be adjusted based on the current temperature and the current humidity includes: Determine the difference between the current humidity and the target humidity as a humidity deviation; Obtaining the saturated humidity at the current temperature; Calculating a humidity margin between the current humidity and the saturated humidity; The humidity to be adjusted is determined based on the humidity margin.

3. The semiconductor refrigeration incubator dehumidification control method according to claim 2, characterized in that: The step of determining the humidity to be adjusted based on the humidity margin includes: When the humidity margin is greater than a first preset value, determining the target humidity as the humidity to be adjusted; When the humidity margin is less than or equal to the first preset value and greater than a second preset value, the product of the target humidity and a first coefficient is determined as the humidity to be adjusted, wherein the first coefficient is less than 1; When the humidity margin is less than or equal to the second preset value, the product of the target humidity and a second coefficient is determined as the humidity to be adjusted, wherein the second coefficient is smaller than the first coefficient.

4. The semiconductor refrigeration incubator dehumidification control method according to claim 1, characterized in that: The determining the current dehumidification stage based on the humidity deviation comprises: calculating a rate of change of the humidity deviation; When the humidity deviation is greater than the deviation threshold, determining that the current dehumidification stage is a rapid dehumidification stage; When the humidity deviation is less than or equal to the deviation threshold, and the change rate is greater than the rate threshold, determining that the current dehumidification stage is a transition dehumidification stage; When the humidity deviation is less than or equal to the deviation threshold, and the change rate is less than or equal to the rate threshold, it is determined that the current dehumidification stage is a precise dehumidification stage.

5. The semiconductor refrigeration incubator dehumidification control method according to claim 1, characterized in that: The determining, based on the humidity to be adjusted, in the current dehumidification stage, a first adjustment parameter of the upper refrigeration plate and a second adjustment parameter of the lower refrigeration plate comprises: When the current dehumidification stage is a rapid dehumidification stage, the current adjustment parameters of the upper refrigeration plate and the lower refrigeration plate are respectively increased by a preset step size to obtain a first adjustment parameter and a second adjustment parameter; When the current dehumidification stage is a transition dehumidification stage, the current adjustment parameter of the upper refrigeration plate is reduced or increased by a first step length according to the humidity to be adjusted, and the current adjustment parameter of the lower refrigeration plate is increased or decreased by a second step length to obtain a first adjustment parameter and a second adjustment parameter; When the current dehumidification stage is the precise dehumidification stage, the first adjustment parameter is determined to be a standby parameter, and the second adjustment parameter is determined based on the humidity to be adjusted and a PID algorithm.

6. The semiconductor refrigeration incubator dehumidification control method according to claim 1, characterized in that: The calculating the first power of the upper refrigeration plate based on the first adjustment parameter includes: Acquire a power consumption characteristic curve of the upper cooling plate, and determine a power value of a target operating point based on the power consumption characteristic curve; Calculating a ratio of the first adjustment parameter to a preset standard parameter; Taking the product of the ratio and the power value of the target operating point as the reference power; The reference power is temperature compensated according to the current humidity to obtain the first power.

7. The semiconductor refrigeration incubator dehumidification control method according to claim 1, characterized in that: The method further comprises: Determine in real time whether the current humidity of the intelligent incubator exceeds a preset humidity range; If the current humidity exceeds the preset humidity range, a warning message is issued and a warning state is entered, wherein in the warning state, the first power and the second power are adjusted according to a preset step-by-step adjustment strategy.

8. A semiconductor refrigeration incubator dehumidification control system, characterized in that: Applied to an intelligent incubator, the intelligent incubator includes an upper refrigeration sheet and a lower refrigeration sheet, and the system includes: A temperature and humidity acquisition module, used to acquire the current temperature and humidity of the intelligent incubator, and determine the humidity deviation and the humidity to be adjusted based on the current temperature and the current humidity; a dehumidification stage determination module, configured to determine a current dehumidification stage based on the humidity deviation; A dehumidification parameter determination module, configured to determine, based on the humidity to be adjusted, a first adjustment parameter of the upper refrigeration plate and a second adjustment parameter of the lower refrigeration plate in the current dehumidification stage; a dehumidification power calculation module, configured to calculate a first power of the upper refrigeration fin based on the first adjustment parameter, and to calculate a second power of the lower refrigeration fin based on the second adjustment parameter; The dehumidification control module is used to control the upper refrigeration fins to operate according to the first power, and to control the lower refrigeration fins to operate according to the second power.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

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