Portable transfer incubator and temperature and humidity control method

Abstract

The invention belongs to the technical field of incubators, and relates to a portable transfer incubator and a temperature and humidity control method.According to the portable transfer incubator, a humidity adjusting module is combined with multiple layers of absorbent paper, the water release precision is controlled through a first electromagnetic valve, and accurate humidity regulation and control are achieved; the use of the electromagnetic valve ensures that the release of water can be adjusted according to actual requirements, and multiple layers of absorbent paper effectively increase the water adsorption and release area, so that the humidity adjusting efficiency is improved; a traditional humidity adjusting mode usually needs a water tank with a large volume and complex humidity adjusting equipment, so that the volume of the portable incubator is directly increased; a small water storage container is designed and combined with a compact multi-layer absorbent paper humidity adjusting system, so that the risk of excessive expansion is avoided; the humidity adjusting system is small in occupied space, the overall size of equipment is small, and it is ensured that the portable design is achieved.

Description

Technical Field

[0001] The present application belongs to the technical field of incubators, and more specifically, relates to a portable transport incubator and a temperature and humidity control method. Background Art

[0002] Fields such as biomedicine, scientific research, and agriculture often require the cultivation of cells, microorganisms, and plants under specific environmental conditions. The stability of the culture environment is crucial for the reliability and efficiency of experimental results. In these fields, incubators are essential equipment, primarily used to control environmental parameters such as temperature, humidity, and carbon dioxide concentration. However, traditional incubators are generally bulky and designed primarily for laboratory use, lacking sufficient portability.

[0003] With the development of science and technology, the demand for portable incubators is gradually increasing. Especially when cells, plants, etc. need to be transported from one place to another for cultivation, how to maintain environmental stability during the transportation process has become an important issue. Portable incubators not only need to have basic environmental control functions such as temperature, humidity, and carbon dioxide concentration, but also must complete these controls in a smaller volume and be able to operate stably for a long time. In other words, how to accurately control humidity in portable devices and ensure efficient use of water while avoiding equipment volume expansion and energy waste has become a core technical problem that needs to be solved when designing portable transport incubators. Summary of the Invention

[0004] The present invention provides a portable transport incubator, which aims to solve the technical problem of the portable equipment mentioned in the prior art in ensuring precise control while avoiding equipment volume expansion and energy waste.

[0005] A portable transport incubator comprises an incubator cavity, a temperature adjustment module, a carbon dioxide concentration adjustment module, a humidity adjustment module, a power supply module and a main controller arranged in a suitcase;

[0006] A carbon dioxide concentration collector and a temperature and humidity collector are installed in the incubator cavity to collect the carbon dioxide concentration and temperature and humidity in the incubator cavity;

[0007] The humidity adjustment module includes a water storage container and multi-layer absorbent paper, the multi-layer absorbent paper is arranged in the incubator cavity, the water storage container is connected to the incubator cavity through a pipeline, and a first solenoid valve is arranged on the pipeline.

[0008] In the present invention, precise control of humidity is achieved by combining a humidity control module with a multi-layer absorbent paper and using a first solenoid valve to control the accuracy of water release. The use of the solenoid valve ensures that the release of water can be adjusted according to actual needs, while the multi-layer absorbent paper effectively increases the area of ​​water adsorption and release, thereby improving the efficiency of humidity control. Traditional humidity control methods usually require a large water tank and complex humidity control equipment, which directly increases the volume of the portable incubator. The present invention avoids the risk of excessive expansion by designing a small water storage container and combining it with a compact multi-layer absorbent paper humidity control system. The humidity control system occupies little space and the overall volume of the equipment is small, ensuring the realization of a portable design.

[0009] Preferably, the temperature regulation module includes a semiconductor refrigerator, a radiator and a cooler, wherein the radiator is tightly fitted to the hot end of the semiconductor refrigerator; the cooler is tightly fitted to the cold end of the semiconductor refrigerator; and the radiator and the cooler are both connected to the incubator cavity through an air supply pipe; and an exhaust port is provided on the air supply pipe.

[0010] Preferably, the temperature regulation module includes a semiconductor refrigerator and a radiator, wherein surface A of the semiconductor refrigerator is in close contact with an outer wall of the incubator cavity, and surface B of the semiconductor refrigerator is connected to the radiator, and the gas is discharged through the exhaust pipe on the radiator; a power supply positive and negative phase module is used to switch the power polarity of the input semiconductor refrigerator, thereby realizing the switching of cooling or heating mode.

[0011] Preferably, the power supply positive and negative phase module includes a double-pole double-throw relay and a contact group; the contact group includes contact group A and contact group B; wherein contact group A includes a positive first refrigeration plate terminal and a negative second refrigeration plate terminal; contact group B includes a positive second refrigeration plate terminal and a negative first refrigeration plate terminal. When the double-pole double-throw relay is connected to contact group A, a forward current is provided; when connected to contact group B, a reverse current is provided.

[0012] Preferably, the carbon dioxide concentration adjustment module includes multiple reaction material storage cavities, which are connected to the reaction chamber through pipes, and solenoid valves are installed on the pipes. The reaction chamber is connected to a carbon dioxide gas cylinder, and the carbon dioxide gas cylinder is connected to the incubator cavity through a pipe, wherein a pressure reducing valve and a solenoid valve are installed on the pipe between the carbon dioxide gas cylinder and the incubator cavity.

[0013] Preferably, the temperature regulating module includes a heating unit and a cooling unit, wherein the heating unit includes a heating wire installed around the incubator cavity, and the heating wire is driven by a power supply to heat the incubator cavity;

[0014] The cooling unit includes a plurality of reaction material storage boxes and a reaction chamber, wherein the plurality of reaction material storage boxes are connected to the reaction chamber via a pipe, and a solenoid valve is provided on the pipe; the reaction chamber and the incubator cavity share an outer wall, which is a heat-conducting surface. Based on the cooling of the reaction chamber, heat is dissipated to the incubator cavity through the heat-conducting surface.

[0015] On the other hand, the present invention provides a method for controlling temperature and humidity of a portable transport incubator. The method for controlling temperature and humidity using the portable transport incubator of the present invention comprises the following steps:

[0016] Data acquisition: Collect temperature sensor array data, humidity sensor data, semiconductor module operating current and voltage, and external environment temperature and humidity data of the box;

[0017] Data processing: Outliers are removed from the sensor data, and the thermal inertia coefficient is calculated using the physical parameters of the incubator cavity. The temperature data is compensated based on the calculated thermal inertia coefficient. Based on this, the temperature and humidity data after outliers are removed and the temperature data after thermal inertia compensation are obtained.

[0018] Model Predictive Control Optimization: Model predictive control is used to optimize temperature and humidity control. By regularly updating the dynamic models of temperature and humidity, the transfer function is dynamically adjusted based on the latest temperature and humidity deviations to optimize control parameters. The optimal control strategy is solved by combining historical data with the predictive model through a rolling horizon optimization algorithm.

[0019] Actuator collaborative control: The power of the semiconductor module and the humidity actuator are adjusted according to the optimal control strategy output by the model predictive control. The power of the semiconductor module is precisely controlled through PWM modulation, and the heating or cooling mode dynamically adjusts the power output according to real-time needs. The humidity actuator controls the water volume of the humidifier or adjusts the fan speed of the dehumidifier through pulse width modulation according to the humidity regulation requirements.

[0020] Preferably, the temperature data after thermal inertia compensation is obtained based on the following steps:

[0021] Calculate the thermal inertia coefficient based on the current temperature and the set temperature:

[0022] Q thermal =0.05×V×C×ρ×|T current -T set |;

[0023] Where: Q thermal represents the thermal inertia coefficient; ρ represents the density of the incubator material; V represents the volume of the incubator; C represents the specific heat capacity of the incubator; T current Indicates the current temperature; T set Indicates the set temperature;

[0024] Calculate the heat capacity of the box based on its physical parameters:

[0025] C box =C×ρ×V;

[0026] Where: C box represents heat capacity;

[0027] Based on the calculated thermal inertia coefficient and the heat capacity of the box, calculate the thermal inertia compensation:

[0028]

[0029] Where: ΔT hermal Indicates thermal inertia compensation;

[0030] Then, based on the current temperature and the thermal inertia compensation amount, the temperature data after thermal inertia compensation is obtained.

[0031] Preferably, the steps of the model predictive control optimization are as follows:

[0032] At the beginning of each control cycle, the model predictive control optimization algorithm first collects the current temperature and humidity data and calculates the current temperature and humidity deviations, and then calculates the initial time constant;

[0033] τ T =15×e -0.03|ΔT| ;

[0034] Where: ΔT represents the temperature deviation; e represents the base of the natural logarithm; τ T represents the temperature time constant;

[0035] τ H =5×(1+0.02ΔH);

[0036] Where: ΔH represents humidity deviation; τ H represents the humidity time constant;

[0037] Based on the calculated temperature time constant and humidity time constant, a temperature prediction model and a humidity prediction model are used to predict the future temperature and humidity respectively;

[0038] Then, the objective function is used to balance the temperature and humidity errors, and under the constraints, the optimal control strategy is calculated through rolling optimization to calculate the optimal semiconductor power and humidity control parameters. The objective function is as follows:

[0039]

[0040] Where: T k represents the temperature value at the predicted time k; T setIndicates the set target temperature value; H k Represents the humidity value at the predicted time k; H set Indicates the set target humidity value.

[0041] Preferably, the humidity prediction model is as follows:

[0042]

[0043] Where: H k+1 Indicates the predicted humidity at the next moment; H k Indicates the current humidity; Q water Indicates the amount of humidification water; α indicates the influence coefficient of temperature on humidity; C h represents the humidity capacity; τ H represents the time constant of humidity; e represents the base of natural logarithm; Δt represents the control period; T k Indicates the current temperature; T set Indicates the set target temperature value;

[0044] The temperature prediction model is as follows:

[0045]

[0046] Where: T k+1 Indicates the predicted temperature at the next moment; T k Indicates the current temperature; P semiconductor Indicates the power instruction of the semiconductor module; k h Represents the temperature and humidity coupling coefficient; H adjust Represents the humidity adjustment input; C t represents the heat capacity of the box; τ T The time constant representing the temperature.

[0047] The beneficial effects of the present invention include:

[0048] In the present invention, by combining a humidity control module with a multi-layer absorbent paper and using a first solenoid valve to control the accuracy of water release, the present invention achieves precise control of humidity. The use of the solenoid valve ensures that the release of water can be adjusted according to actual needs, while the multi-layer absorbent paper effectively increases the area of ​​water adsorption and release, improving the efficiency of humidity control. Traditional humidity control methods usually require a large water tank and complex humidity control equipment, which directly increases the volume of the portable incubator. The present invention avoids the risk of excessive expansion by designing a small water storage container and combining it with a compact multi-layer absorbent paper humidity control system. The humidity control system takes up little space and the overall volume of the equipment is small, ensuring the realization of a portable design. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0050] Figure 1 A schematic diagram of the overall structure provided by an embodiment of the present invention.

[0051] Figure 2 This is a schematic diagram of the temperature adjustment module structure provided in Example 1 of the present invention.

[0052] Figure 3 This is a schematic diagram of the temperature adjustment module structure provided in Example 2 of the present invention.

[0053] Figure 4 This is a control circuit diagram of the temperature adjustment module provided in Example 2 of the present invention.

[0054] Figure 5 This is a schematic diagram of the temperature adjustment module structure provided in Example 3 of the present invention.

[0055] Figure 6 This is a structural diagram of a carbon dioxide concentration adjustment module provided in an embodiment of the present invention.

[0056] Figure 7 This is a structural diagram of a humidity adjustment module provided in an embodiment of the present invention.

[0057] Figure 8 This is a flow chart of temperature and humidity control provided in Example 4 of the present invention.

[0058] Explanation of the accompanying symbols: 1. Suitcase; 2. Incubator cavity; 3. Temperature adjustment module; 4. Carbon dioxide concentration adjustment module; 5. Carbon dioxide concentration collector; 6. Temperature and humidity collector; 7. Main controller; 8. Power supply; 9. Control panel; 10. Display; 11. Semiconductor refrigerator; 12. Radiator; 13. Power supply positive and negative phase module; 14. Water storage container; 15. Absorbent paper; 16. Cooler; 17. Heating wire; 18. Ammonium chloride storage box; 19. Barium hydroxide storage box; 20. Reaction chamber; 21. Heat transfer surface; 22. Sodium bicarbonate storage box; 23. Dilute hydrochloric acid storage box; 24. Reaction chamber. DETAILED DESCRIPTION

[0059] In order to make the technical problems, technical solutions and beneficial effects to be solved by this application more clearly understood, this application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0060] Example 1

[0061] See also Figure 1 As shown, a portable transport incubator comprises an incubator chamber 2, a temperature regulating module 3, a carbon dioxide concentration regulating module 4, a humidity regulating module, a power supply module 8 and a main controller 7, which are arranged in a suitcase 1;

[0062] A carbon dioxide concentration collector 5 and a temperature and humidity collector 6 are installed in the incubator cavity 2 to collect the carbon dioxide concentration and temperature and humidity in the incubator cavity 2;

[0063] The humidity adjustment module includes a water storage container 14 and a multi-layer absorbent paper 15. The multi-layer absorbent paper 15 is arranged in the incubator cavity 2. The water storage container 14 is connected to the incubator cavity 2 through a pipe, and a first solenoid valve is arranged on the pipe.

[0064] In this embodiment, a display 10 and a control panel 9 are provided on the wall of the suitcase 1. The internal data of the incubator cavity 2 can be displayed on the display 10, and the temperature, humidity and carbon dioxide concentration can be adjusted through the control panel 9. The control command is sent to the main controller 7 through the control panel 9, and the main controller 7 executes the corresponding control command based on the control command. Figure 1 As shown, a power supply module 8 is installed inside the suitcase 1 to supply power to the entire device.

[0065] In the present invention, by combining a humidity control module with a multi-layer absorbent paper 15 and using a first solenoid valve to control the accuracy of water release, the present invention achieves precise control of humidity. The use of a solenoid valve ensures that the release of water can be adjusted according to actual needs, while the multi-layer absorbent paper 15 effectively increases the area for water adsorption and release, improving the efficiency of humidity control. Traditional humidity control methods usually require a large water tank and complex humidity control equipment, which directly increases the volume of the portable incubator. The present invention avoids the risk of excessive expansion by designing a small water storage container 14 and combining it with a compact multi-layer absorbent paper 15 humidity control system. The humidity control system takes up little space, and the overall volume of the equipment is small, ensuring the realization of a portable design.

[0066] As a possible implementation of this embodiment, the temperature adjustment module 3 includes a semiconductor refrigerator 11, a radiator 12 and a cooler 16, wherein the radiator 12 is tightly fitted to the hot end of the semiconductor refrigerator 11; the cooler 16 is tightly fitted to the cold end of the semiconductor refrigerator 11; and the radiator 12 and the cooler 16 are both connected to the incubator cavity 2 through an air supply pipe; and an exhaust port is provided on the air supply pipe; see Figure 2As shown, when the temperature data collected by the temperature and humidity collector 6 obtained by the main controller 7 is lower than a preset value, the three-way solenoid valve at the radiator 12 end connects the air supply pipe from the radiator 12 to the incubator cavity 2, and the hot air enters the incubator cavity 2 through the three-way solenoid valve, and at this time, the three-way solenoid valve at the cooler 16 end connects the path from the incubator cavity 2 to the cold air exhaust port, discharges the cold air, and achieves heating of the incubator cavity 2; when the temperature in the incubator cavity 2 is too high and needs to be cooled, the three-way solenoid valve at the refrigerator end connects the path from the refrigerator to the incubator cavity 2, fills in cold air, and the three-way solenoid valve at the radiator 12 end connects the path from the incubator cavity 2 to the hot air exhaust port, discharges the hot air, and thus achieves the cooling operation of the incubator cavity 2.

[0067] See also Figure 6 As shown, as a possible implementation of this embodiment, the carbon dioxide concentration adjustment module 4 includes a plurality of reaction material storage cavities, which are connected to the reaction chamber 24 through pipes, each of which is equipped with a solenoid valve. The reaction chamber 24 is connected to a carbon dioxide gas cylinder, which is connected to the incubator cavity 2 through a pipe, wherein a pressure reducing valve and a solenoid valve are installed on the pipe between the carbon dioxide gas cylinder and the incubator cavity 2;

[0068] The reaction material storage chamber includes a sodium bicarbonate storage box 22 and a dilute hydrochloric acid storage box 23. The input ratio of the two is controlled by a solenoid valve, and the carbon dioxide is input into the reaction chamber 24 for reaction to generate carbon dioxide, which is injected into a carbon dioxide gas cylinder for storage, and then the carbon dioxide is input into the incubator chamber 2 through the carbon dioxide gas cylinder; wherein the reaction chamber 24 is provided with a sewage outlet, and waste can be discharged through the sewage outlet after each carbon dioxide generation is completed.

[0069] Example 2

[0070] The difference between this embodiment 2 and embodiment 1 is only the structure of the temperature adjustment module 3, which is as follows:

[0071] See also Figure 3 and Figure 4 As shown, the temperature regulation module 3 includes a semiconductor refrigerator 11 and a radiator 12, wherein surface A of the semiconductor refrigerator 11 is in close contact with an outer wall of the incubator cavity 2, and surface B of the semiconductor refrigerator 11 is connected to the radiator 12, and the gas is discharged through the exhaust pipe on the radiator 12; a power positive and negative phase module 13 is used to switch the polarity of the power supply 8 input to the semiconductor refrigerator, thereby realizing the switching of cooling or heating mode.

[0072] The power supply positive and negative phase module 13 includes a double-pole double-throw relay and a contact group; the contact group includes contact group A and contact group B; wherein contact group A includes a positive first refrigeration plate terminal and a negative second refrigeration plate terminal; contact group B includes a positive second refrigeration plate terminal and a negative first refrigeration plate terminal. When the double-pole double-throw relay is connected to contact group A, it provides a forward current; when connected to contact group B, it provides a reverse current, thereby realizing the switching of cooling and heating modes.

[0073] Example 3

[0074] The difference between this embodiment 3 and embodiment 1 is only the structure of the temperature adjustment module 3, which is as follows:

[0075] The temperature regulating module 3 includes a heating unit and a cooling unit. The heating unit includes a heating wire 17 installed around the incubator cavity 2. The heating wire 17 is driven by the power supply 8 to heat the incubator cavity 2.

[0076] The cooling unit includes multiple reaction material storage boxes and a reaction chamber 20, which are connected to the reaction chamber 20 by pipes, and a solenoid valve is provided on the pipes; the reaction chamber 20 and the incubator cavity 2 share an outer wall, which is a heat-conducting surface 21. Based on the cooling of the reaction chamber 20, the heat of the incubator cavity 2 is dissipated through the heat-conducting surface 21; illustratively, the reaction material storage boxes are an ammonium chloride storage box 18 and a barium hydroxide storage box 19. Ammonium chloride and barium hydroxide are mixed and cooled in the reaction chamber 20, and the cold energy is transferred to the incubator cavity 2 through the heat-conducting surface 21 to achieve cooling of the incubator cavity 2.

[0077] Referring to Examples 1 to 3, the best embodiment of the present invention is Example 2. Through the coordination of Example 2, a compact mechanical structure can be formed, which is very consistent with the requirements of portability.

[0078] Example 4

[0079] A method for controlling temperature and humidity of a portable transport incubator is provided, wherein the method comprises the following steps:

[0080] Data acquisition: Collect temperature sensor array data, humidity sensor data, semiconductor module operating current and voltage, and external environment temperature and humidity data of the box;

[0081] Data processing: Outliers are removed from the sensor data, and the thermal inertia coefficient is calculated using the physical parameters of the incubator cavity 2. The temperature data is compensated based on the calculated thermal inertia coefficient. Based on this, the temperature and humidity data after outliers are removed and the temperature data after thermal inertia compensation are obtained;

[0082] As a possible implementation of this embodiment, the temperature data after thermal inertia compensation is obtained based on the following steps:

[0083] To eliminate abnormal data, we can determine whether the data is abnormal by calculating the standard deviation of the measurement values ​​of the four temperature sensors. If the temperature data of a sensor deviates from the mean by more than 3 times the standard deviation, the data is considered an outlier and is eliminated.

[0084] For humidity data, if the difference between the two humidity sensors exceeds 5% RH, the data is considered unstable. At this time, the calibration procedure is started, and the sensor with the most stable historical data is selected as the main input. The output of the other sensor is adjusted to make it close to the data of the main sensor.

[0085] Calculate the thermal inertia coefficient based on the current temperature and the set temperature:

[0086] Q thermal =0.05×V×C×ρ×|T current -T set |;

[0087] Where: Q thermal represents the thermal inertia coefficient; ρ represents the density of the incubator material; V represents the volume of the incubator; C represents the specific heat capacity of the incubator; T current Indicates the current temperature; T set Indicates the set temperature;

[0088] Calculate the heat capacity of the box based on its physical parameters:

[0089] C box =C×ρ×V;

[0090] Where: C box represents heat capacity;

[0091] Based on the calculated thermal inertia coefficient and the heat capacity of the box, calculate the thermal inertia compensation:

[0092]

[0093] Where: ΔT thermal Indicates thermal inertia compensation;

[0094] Then, based on the current temperature and the thermal inertia compensation amount, the temperature data after thermal inertia compensation is obtained.

[0095] In this embodiment, the accuracy of the temperature sensor data is improved through four-point redundant measurement and cross-checking. At the same time, the outliers in the data are eliminated through the standard deviation method and automatic calibration mechanism to ensure that the data output by the sensor is stable and reliable. Combined with the thermal inertia compensation calculation, the system can adjust the power output more accurately, avoid temperature fluctuations caused by the thermal inertia of the box, and provide reliable data support for subsequent control links.

[0096] Model Predictive Control Optimization: Model predictive control is used to optimize temperature and humidity control. By regularly updating the dynamic models of temperature and humidity, the transfer function is dynamically adjusted based on the latest temperature and humidity deviations to optimize control parameters. The optimal control strategy is solved by combining historical data with the predictive model through a rolling horizon optimization algorithm.

[0097] Actuator collaborative control: The power of the semiconductor module and the humidity actuator are adjusted according to the optimal control strategy output by the model predictive control. The power of the semiconductor module is precisely controlled through PWM modulation, and the heating or cooling mode dynamically adjusts the power output according to real-time needs. The humidity actuator controls the water volume of the humidifier or adjusts the fan speed of the dehumidifier through pulse width modulation according to the humidity regulation requirements.

[0098] As a possible implementation of this embodiment, the steps of the model predictive control optimization are as follows:

[0099] At the beginning of each control cycle, the model predictive control optimization algorithm first collects the current temperature and humidity data and calculates the current temperature and humidity deviations, and then calculates the initial time constant;

[0100] τ T =15×e -0.03|ΔT| ;

[0101] Where: ΔT represents the temperature deviation; e represents the base of the natural logarithm; τ T represents the temperature time constant;

[0102] τ H =5×(1+0.02ΔH);

[0103] Where: ΔH represents humidity deviation; τ H represents the humidity time constant;

[0104] Based on the calculated temperature time constant and humidity time constant, a temperature prediction model and a humidity prediction model are used to predict the future temperature and humidity respectively;

[0105] As a possibility of this embodiment, the humidity prediction model is as follows:

[0106]

[0107] Where: H k+1 Indicates the predicted humidity at the next moment; H k Indicates the current humidity; Q water Indicates the amount of humidification water; α indicates the influence coefficient of temperature on humidity; C h represents the humidity capacity; τ H Indicates the time constant of humidity; E indicates the base of natural logarithm; ΔT indicates the control period; T k Indicates the current temperature; T set Indicates the set target temperature value;

[0108] The temperature prediction model is as follows:

[0109]

[0110] Where: T k+1 Indicates the predicted temperature at the next moment; T k Indicates the current temperature; P semiconductor Indicates the power instruction of the semiconductor module; k h Represents the temperature and humidity coupling coefficient; H adjust Represents the humidity adjustment input; C t represents the heat capacity of the box; τ T The time constant representing the temperature.

[0111] Then, the objective function is used to balance the temperature and humidity errors, and under the constraints, the optimal control strategy is calculated through rolling optimization to calculate the optimal semiconductor power and humidity control parameters. The objective function is as follows:

[0112]

[0113] Where: T k represents the temperature value at the predicted time k; T set Indicates the set target temperature value; H k Represents the humidity value at the predicted time k; H set Indicates the set target humidity value.

[0114] In this embodiment, a rolling time domain optimization algorithm is adopted, combined with historical data and prediction models, so that the system can adjust the control strategy in real time according to each control cycle; through real-time feedback of current temperature and humidity data, the system can continuously adjust the temperature time constant and humidity time constant, accurately predict and optimize temperature and humidity control, and ensure that the system can maintain precise control even when the environment changes or the equipment load changes.

[0115] In this embodiment, temperature and humidity decoupling control is implemented, and a temperature priority control strategy is adopted. The temperature control is used as the outer loop and the humidity control is used as the inner loop for decoupling control. The temperature control loop calculates the temperature deviation in real time and adjusts the power of the semiconductor module through the PID control algorithm to give priority to adjusting the temperature; the humidity control is adjusted through the compensation loop, and the operation required for humidification or dehumidification is calculated according to the humidity deviation, wherein humidification is achieved by calculating the amount of atomized water, and dehumidification is achieved by exhaust fans to discharge excess moisture in the air; it should be noted that when installing the exhaust fan, a ventilation solenoid valve needs to be installed at the output end of the exhaust fan, and the solenoid valve is opened when dehumidification is required. The wind solenoid valve can then open the exhaust fan to discharge excess moisture, so that the incubator cavity 2 remains sealed when dehumidification is not required; that is, the temperature and humidity control is optimized through the model predictive control (MPC) method, and the system can simultaneously consider the dynamic changes of temperature and humidity to ensure independent control between the two; the temperature and humidity decoupling control avoids the problem of mutual interference between temperature and humidity; especially in the humidity control link, the reasonable setting of the temperature and humidity coupling coefficient makes the humidity control not excessively affected by temperature changes, avoids the expansion of humidity errors during the temperature adjustment process, and ensures that the temperature and humidity in the environment can operate independently and stably near their respective set target values.

[0116] In this embodiment, through the combination of model predictive control and thermal inertia compensation, the system can quickly respond and make automatic adjustments when temperature and humidity deviations occur without human intervention; it greatly reduces errors in human operation and can maintain stable temperature and humidity control under various external environmental changes. It has strong adaptability and can cope with various scenarios and complex transportation environment requirements.

[0117] The above is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A portable transport incubator, characterized in that: It includes an incubator cavity, a temperature adjustment module, a carbon dioxide concentration adjustment module, a humidity adjustment module, a power supply module and a main controller arranged in a suitcase; A carbon dioxide concentration collector and a temperature and humidity collector are installed in the incubator cavity to collect the carbon dioxide concentration and temperature and humidity in the incubator cavity; The humidity adjustment module includes a water storage container and multi-layer absorbent paper, the multi-layer absorbent paper is arranged in the incubator cavity, the water storage container is connected to the incubator cavity through a pipeline, and a first solenoid valve is arranged on the pipeline.

2. A portable transport incubator according to claim 1, characterized in that: The temperature regulation module includes a semiconductor refrigerator, a radiator and a cooler, wherein the radiator is tightly fitted to the hot end of the semiconductor refrigerator; the cooler is tightly fitted to the cold end of the semiconductor refrigerator; and the radiator and the cooler are both connected to the incubator cavity through an air supply pipe; and an exhaust port is provided on the air supply pipe.

3. The portable transport incubator according to claim 1, characterized in that: The temperature adjustment module includes a semiconductor refrigerator and a radiator, wherein surface A of the semiconductor refrigerator is in close contact with an outer wall of the incubator cavity, and surface B of the semiconductor refrigerator is connected to the radiator, and gas is discharged through the exhaust pipe on the radiator; A power positive and negative phase module is used to switch the power polarity of the input semiconductor refrigeration chip, thereby realizing the switching of cooling or heating mode.

4. The portable shipping incubator according to claim 3, characterized in that: The power supply positive and negative phase module includes a double-pole double-throw relay and a contact group; the contact group includes contact group A and contact group B; wherein contact group A includes a positive first refrigeration plate terminal and a negative second refrigeration plate terminal; contact group B includes a positive second refrigeration plate terminal and a negative first refrigeration plate terminal. When the double-pole double-throw relay is connected to contact group A, it provides forward current; when connected to contact group B, it provides reverse current.

5. The portable transport incubator according to claim 1, characterized in that: The carbon dioxide concentration adjustment module includes multiple reaction material storage cavities, which are connected to the reaction chamber through pipes, each of which is equipped with a solenoid valve. The reaction chamber is connected to a carbon dioxide gas cylinder, which is connected to the incubator cavity through a pipe, wherein a pressure reducing valve and a solenoid valve are installed on the pipe between the carbon dioxide gas cylinder and the incubator cavity.

6. The portable transport incubator according to claim 1, characterized in that: The temperature regulating module includes a heating unit and a cooling unit. The heating unit includes a heating wire installed around the incubator cavity. The heating wire is driven by a power supply to heat the incubator cavity. The cooling unit includes a plurality of reaction material storage boxes and a reaction chamber, wherein the plurality of reaction material storage boxes are connected to the reaction chamber via a pipe, and a solenoid valve is provided on the pipe; the reaction chamber and the incubator cavity share an outer wall, which is a heat-conducting surface. Based on the cooling of the reaction chamber, heat is dissipated to the incubator cavity through the heat-conducting surface.

7. A method for controlling temperature and humidity of a portable transport incubator, characterized in that: A method for controlling temperature and humidity using a portable transport incubator according to any one of claims 1 to 5 comprises the following steps: Data acquisition: Collect temperature sensor array data, humidity sensor data, semiconductor module operating current and voltage, and external environment temperature and humidity data of the box; Data processing: Outliers are removed from the sensor data, and the thermal inertia coefficient is calculated using the physical parameters of the incubator cavity. The temperature data is compensated based on the calculated thermal inertia coefficient. Based on this, the temperature and humidity data after outliers are removed and the temperature data after thermal inertia compensation are obtained. Model Predictive Control Optimization: Model predictive control is used to optimize temperature and humidity control. By regularly updating the dynamic models of temperature and humidity, the transfer function is dynamically adjusted based on the latest temperature and humidity deviations to optimize control parameters. The optimal control strategy is solved by combining historical data with the predictive model through a rolling horizon optimization algorithm. Actuator collaborative control: The power of the semiconductor module and the humidity actuator are adjusted according to the optimal control strategy output by the model predictive control. The power of the semiconductor module is precisely controlled through PWM modulation, and the heating or cooling mode dynamically adjusts the power output according to real-time needs. The humidity actuator controls the water volume of the humidifier or adjusts the fan speed of the dehumidifier through pulse width modulation according to the humidity regulation requirements.

8. The temperature and humidity control method of a portable transport incubator according to claim 7, characterized in that: The temperature data after thermal inertia compensation is obtained based on the following steps: Calculate the thermal inertia coefficient based on the current temperature and the set temperature: Q thermal =0.05×V×C×ρ×|T current -T set |; Where: Q thermal represents the thermal inertia coefficient; ρ represents the density of the incubator material; V represents the volume of the incubator; C represents the specific heat capacity of the incubator; T current Indicates the current temperature; T set Indicates the set temperature; Calculate the heat capacity of the box based on its physical parameters: C box =C×ρ×V; Where: C box represents heat capacity; Based on the calculated thermal inertia coefficient and the heat capacity of the box, calculate the thermal inertia compensation: Where: ΔT thermal Indicates thermal inertia compensation; Then, based on the current temperature and the thermal inertia compensation amount, the temperature data after thermal inertia compensation is obtained.

9. The temperature and humidity control method of a portable transport incubator according to claim 7, characterized in that: The steps of the model predictive control optimization are as follows: At the beginning of each control cycle, the model predictive control optimization algorithm first collects the current temperature and humidity data and calculates the current temperature and humidity deviations, and then calculates the initial time constant; t T =15×e -0.03|ΔT| ; Where: ΔT represents the temperature deviation; e represents the base of the natural logarithm; τ T represents the temperature time constant; t H =5×(1+0.02ΔH); Where: ΔH represents the humidity deviation; τ H represents the humidity time constant; Based on the calculated temperature time constant and humidity time constant, a temperature prediction model and a humidity prediction model are used to predict the future temperature and humidity respectively; Then, the objective function is used to balance the temperature and humidity errors, and under the constraints, the optimal control strategy is calculated through rolling optimization to calculate the optimal semiconductor power and humidity control parameters. The objective function is as follows: Where: T k represents the temperature value at the predicted time k; T set Indicates the set target temperature value; H k Represents the humidity value at the predicted time k; H set Indicates the set target humidity value.

10. The temperature and humidity control method of a portable transport incubator according to claim 1, characterized in that: The humidity prediction model is as follows: Where: H k+1 Indicates the predicted humidity at the next moment; H k Indicates the current humidity; Q water Indicates the amount of humidification water; α indicates the influence coefficient of temperature on humidity; C h represents the humidity capacity; τ H represents the time constant of humidity; e represents the base of natural logarithm; Δt represents the control period; T k Indicates the current temperature; T set Indicates the set target temperature value; The temperature prediction model is as follows: Where: T k+1 Indicates the predicted temperature at the next moment; T k Indicates the current temperature; P semiconductor Indicates the power instruction of the semiconductor module; k h Represents the temperature and humidity coupling coefficient; H adjust Represents the humidity adjustment input; C t represents the heat capacity of the box; τ T The time constant representing the temperature.

Images