A foamed copper-based dehumidification material, device and online optimization control method

Abstract

The application relates to the technical field of air treatment, and discloses a foamed copper-based dehumidification material, a device and an online optimization control method. The foamed copper-based dehumidification material is composed of a foamed copper base material and a polyvinyl alcohol-hygroscopic salt composite dehumidifier, and the high porosity and good heat conduction performance of the foamed copper are used to improve the heat and mass transfer efficiency. The foamed copper-based rotary dehumidification device comprises a rotary base, a foamed metal-based dehumidification material, a rotary base, a motor, a transmission shaft and a dynamic optimization control module. The online optimization control method realizes the optimization of the dehumidification performance by establishing a linear driving force model, updating the model parameters in real time, and dynamically adjusting the rotary speed of the rotary. The application effectively improves the hygroscopic capacity, regeneration efficiency and long-term operation stability of the dehumidification system, and is widely applicable to air dehumidification systems.

Description

Technical Field

[0001] This invention relates to the field of copper foam dehumidification, and particularly to a copper foam dehumidification material, device, and online optimization control method. Background Technology

[0002] Dehumidification is a crucial step in air handling, and current mainstream dehumidification technologies mainly include two categories: cooling dehumidification and adsorbent dehumidification. Cooling dehumidification typically involves cooling the air below its dew point temperature to cause water vapor to condense and precipitate. Although the technology is relatively mature, it generally suffers from high energy consumption. In contrast, adsorbent dehumidification relies on the adsorption of moisture in the air by dehumidifying materials to achieve dehumidification. It has advantages such as energy saving, cleanliness, and ease of control, and therefore has been increasingly widely used in air conditioning, independent fresh air treatment, and environmental humidity control scenarios.

[0003] The performance of adsorbent dehumidification technology largely depends on the moisture absorption capacity, heat and mass transfer efficiency, and regeneration performance of the dehumidifying material. Existing commonly used dehumidifying materials, such as silica gel and molecular sieves, while exhibiting relatively stable moisture absorption, typically have high regeneration temperatures, generally 80–120°C. This results in poor utilization of low-grade heat sources, increasing regeneration energy consumption. Meanwhile, traditional granular dehumidifiers are often loosely packed in rotors or other dehumidification components, which can easily lead to high airflow resistance, low mass transfer efficiency, and pulverization and shedding during long-term adsorption-desorption cycles, ultimately causing a decline in dehumidification performance.

[0004] Furthermore, existing rotary dehumidifiers also have significant shortcomings in their control methods. Current optimized control typically relies on offline experiments to establish a fixed model and achieves control through pre-stored "operating condition-optimal speed" relationships. However, in actual operation, dehumidifying materials undergo aging and contamination over time, and their adsorption / desorption performance is not constant. Simultaneously, on-site operating conditions such as temperature, humidity, and airflow velocity often deviate from laboratory conditions. Because traditional control schemes rely on fixed model parameters, they struggle to reflect changes in material performance and fluctuations in operating conditions in a timely manner, easily leading to significant discrepancies between the model and actual operating conditions, making it difficult to maintain optimal dehumidification performance over the long term.

[0005] Therefore, there is an urgent need to provide a new dehumidification material, a rotary dehumidification device, and its control method to improve the heat and mass transfer performance and regeneration efficiency of the dehumidification material, and to enable the control strategy to be dynamically adjusted according to changes in material state and operating conditions, thereby improving the long-term operating efficiency and stability of the dehumidification system. Summary of the Invention

[0006] In view of the above analysis, the present invention aims to provide a foamed copper-based dehumidification material, device, and online optimization control method to solve the problems in the prior art.

[0007] The objective of this invention is mainly achieved through the following technical solutions:

[0008] The present invention provides a copper foam-based desiccant material in a first aspect, comprising a copper foam substrate and a composite desiccant loaded on the surface and internal pores of the copper foam substrate, wherein the composite desiccant comprises polyvinyl alcohol and moisture-absorbing salt.

[0009] The foamed copper substrate is a three-dimensional foamed copper with a connected pore structure, which is used as a carrier for composite desiccant and to improve heat and mass transfer efficiency. The polyvinyl alcohol is used to attach the hygroscopic salt to the foamed copper substrate, thereby forming a foamed copper-based desiccant material that can be adsorbed, dehumidified and regenerated by heating.

[0010] In a preferred embodiment, the polyvinyl alcohol solution has a mass concentration of 5 wt%, the hygroscopic salt is lithium chloride and / or calcium chloride, and the mass ratio of the hygroscopic salt to polyvinyl alcohol is 10 wt% to 25 wt%. The foamed copper substrate is pre-treated by drying before loading the composite desiccant, and after loading, it is sequentially treated by air drying, heat drying, and vacuum drying to obtain the foamed copper-based desiccant.

[0011] A second aspect of the present invention provides a foamed copper-based rotary dehumidifier, comprising a rotary wheel base, a foamed copper-based dehumidifier material disposed within the rotary wheel base, a drive mechanism, and a dynamic optimization control module;

[0012] The rotating wheel base is divided into a dehumidification zone and a regeneration zone along the circumference, and the rotating wheel base has multiple fan-shaped chambers for accommodating foamed copper-based dehumidification materials.

[0013] The dynamic optimization control module is connected to the detection unit and the drive mechanism respectively located at the inlet and outlet of the dehumidification zone and the regeneration zone. It is used to dynamically update the adsorption / desorption model parameters according to the device operation data, and adjust the rotation speed of the rotor substrate in real time according to the updated model parameters.

[0014] In a preferred embodiment, the impeller base is an aluminum alloy frame structure, the dehumidification zone occupies 60% to 70% of the impeller circumference, the regeneration zone occupies 30% to 40% of the impeller circumference, and a heat-insulating and sealing partition is provided between the dehumidification zone and the regeneration zone; regeneration hot air at a temperature of 50 to 60°C is introduced into the regeneration zone.

[0015] The present invention provides, in a third aspect, an online optimization control method for a foamed copper-based rotary dehumidifier, applied to the aforementioned foamed copper-based rotary dehumidifier, comprising the following steps:

[0016] S1. Establish an adsorption / desorption model for the copper-based foam dehumidifier under different operating conditions, and determine the initial model parameters and the corresponding initial rotor speed based on the adsorption / desorption model;

[0017] S2. During the operation of the device, real-time operating data of the dehumidification zone and the regeneration zone are collected, and state parameters characterizing the current adsorption / desorption performance are obtained based on the operating data.

[0018] S3. Based on the operating data and the state parameters, update the model parameters of the adsorption / desorption model online to obtain the updated model parameters under the current operating conditions;

[0019] S4. Recalculate the optimal adsorption time and optimal desorption time under the current operating conditions based on the updated model parameters, and determine the updated optimal rotor speed accordingly;

[0020] S5. Control the drive mechanism to drive the rotor to run according to the updated optimal rotor speed, and repeat steps S2 to S4 to form a closed-loop online optimization control.

[0021] In a preferred embodiment, in step S1, the adsorption / desorption model is a linear driving force model, and the model parameters include at least the equilibrium adsorption amount parameter and the rate constant parameter; during offline modeling, the adsorption / desorption kinetic curves are measured and fitted within the operating conditions of 20-40℃ and 30%-90% relative humidity.

[0022] In a preferred embodiment, in step S2, the operating data includes at least the temperature and humidity data of the dehumidification zone inlet and outlet, the temperature and humidity data of the regeneration zone inlet and outlet, and the actual rotation speed data of the impeller; the state parameters include at least the actual adsorption amount and the actual adsorption rate.

[0023] In a preferred embodiment, in step S3, the actual operating data of the most recent predetermined number of operating cycles is used as a sample to refit the linear driving force model in order to update the equilibrium adsorption parameter and the rate constant parameter.

[0024] In a preferred embodiment, the predetermined number is 5 running cycles, and the model parameters are regularly updated according to a preset update cycle, which is once every 10 running cycles; when the humidity change exceeds 5% or the actual adsorption amount deviates from the model prediction value by more than 10%, an immediate update is triggered.

[0025] In a preferred embodiment, in step S4, the optimal adsorption time and the optimal desorption time are determined with the goal of maximizing the single-cycle adsorption capacity, and the optimal rotor speed is determined in combination with the circumferential length relationship between the rotor dehumidification zone and the regeneration zone; when the updated rate constant parameter decreases, the optimal adsorption time is extended and the rotor speed is reduced.

[0026] Compared with the prior art, the present invention has at least the following beneficial effects:

[0027] (1) This invention uses copper foam as a carrier for dehumidifying materials and loads a polyvinyl alcohol-hygroscopic salt composite dehumidifier on its surface and in its internal pores. It makes full use of the high porosity, three-dimensional interconnected pore structure and good thermal conductivity of copper foam, so that the dehumidifying material can maintain a high moisture absorption capacity while also improving the heat and mass transfer efficiency and regeneration efficiency. At the same time, polyvinyl alcohol can enhance the adhesion between the composite dehumidifier and the copper foam substrate, and the hygroscopic salt can increase the moisture absorption capacity of the material, thereby helping to reduce the risk of dehumidifier shedding and performance degradation during long-term adsorption-desorption cycles and improving the stability of the material in cycle use.

[0028] (2) This invention constructs a foamed copper-based rotary dehumidifier. By arranging the foamed copper-based dehumidifying material in the fan-shaped chamber of the rotary wheel substrate and dividing the rotary wheel into a dehumidification zone and a regeneration zone, the adsorption dehumidification and desorption regeneration of the dehumidifying material can be carried out continuously, which is conducive to achieving continuous and stable operation of the device. At the same time, the excellent thermal conductivity of the foamed copper substrate combined with the rotary wheel structure is also conducive to shortening the regeneration time, improving the regeneration effect, and reducing the system's operating energy consumption.

[0029] (3) This invention establishes an online optimization control method based on a linear driving force model. By collecting temperature, humidity, speed and airflow parameters during the operation of the device in real time, the model parameters are updated online. The optimal adsorption time, optimal desorption time and optimal rotor speed are calculated in real time based on the updated model parameters. This enables the control model to continuously match the material aging state and actual working condition changes, overcoming the problems of poor adaptability and control lag of traditional fixed models. It is beneficial to maintain a high single-cycle adsorption capacity and better dehumidification performance under different operating conditions, thereby improving the long-term operating stability and working condition adaptability of the entire dehumidification system.

[0030] In summary, this invention organically combines foamed copper-based high-efficiency dehumidification materials, rotary dehumidification structures, and dynamic model optimization control methods, which can effectively solve the problems of insufficient heat and mass transfer efficiency, poor regeneration performance, large deviation between the model and actual operating conditions, and insufficient long-term operational stability in traditional dehumidification systems, and therefore has good application value.

[0031] In this invention, the above-described technical solutions can be combined with each other to achieve more preferred combinations. Other features and advantages of this invention will be set forth in the following description, and some advantages may become apparent from the description or be learned by practicing the invention. The objects and other advantages of this invention can be realized and obtained from the description and drawings, which are particularly pointed out. Attached Figure Description

[0032] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts.

[0033] Figure 1 This is a schematic diagram of the structure of the foam copper-based rotary dehumidifier of the present invention.

[0034] Figure 2 This is a schematic diagram of the integrated component of the rotary base and dehumidifying material of the present invention.

[0035] Figure 3 This is the optimized control logic diagram of the dynamic LDF model of the present invention.

[0036] Explanation of reference numerals in the attached diagram: 1. Rotary wheel base; 2. Foam metal-based dehumidifying material; 3. Rotary wheel base; 4. Motor; 5. Drive shaft. Detailed Implementation

[0037] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which constitute a part of the present invention and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0038] The technical solution of the present invention will be further described below with reference to specific embodiments. However, the present invention should not be limited to these embodiments. Unless specifically stated otherwise, all features can be replaced by other equivalent or similar features. Unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features. The terminology used in the present invention, unless otherwise stated, generally has the meaning commonly understood by those skilled in the art. In the following embodiments, unless otherwise stated, concentration % refers to mass percentage; all substances used are commercially available.

[0039] Example 1: Preparation of Copper-Based Foamed Dehumidifying Material

[0040] In this embodiment, the foamed copper-based dehumidifying material is composed of a foamed copper substrate and a composite dehumidifier loaded on its surface and internal pores.

[0041] The foamed copper substrate is made of three-dimensional interconnected porous foamed copper with a porosity of 90% and a thickness of 5 mm. The interconnected pores are uniformly distributed inside the foamed copper, which can increase the specific surface area per unit volume, providing sufficient loading sites for the desiccant, while reducing airflow resistance and improving mass transfer efficiency; the high thermal conductivity of the foamed copper can also accelerate heat transfer during the regeneration stage, thereby shortening the regeneration time and improving the regeneration efficiency.

[0042] In this embodiment, a PVA-LiCl composite polymer desiccant is selected. Polyvinyl alcohol (PVA) serves as a binder carrier to ensure the hygroscopic salt adheres stably to the surface and pores of the copper foam; lithium chloride (LiCl) acts as the hygroscopic component to improve the desiccant's performance.

[0043] The specific preparation process is as follows:

[0044] (1) Weigh 5g of PVA powder, add it to 95g of deionized water, and stir for 3h under constant temperature oil bath at 90℃ to obtain a PVA solution with a mass concentration of 5wt%.

[0045] (2) After cooling the PVA solution to room temperature, add 1g of LiCl and stir vigorously for 1h to obtain a uniform PVA-LiCl composite solution.

[0046] The formula for calculating the mass ratio of LiCl is:

[0047] R = MLiCl / MPVA × 100%

[0048] Where MLiCl represents the mass of lithium chloride and MPVA represents the mass of polyvinyl alcohol.

[0049] In this embodiment:

[0050] R = 1 / 5 × 100% = 20%

[0051] (3) Place the copper foam substrate in a 90°C drying oven for 2 hours to pre-dry, cool it to room temperature, and then immerse it in the PVA-LiCl composite solution for 12 hours to allow the composite desiccant to fully penetrate the surface and internal pores of the copper foam.

[0052] (4) Take out the soaked copper foam and air dry it naturally for 12 hours to remove excess solution from the surface.

[0053] (5) Place the naturally air-dried foamed copper into a drying oven and dry it at 90°C for 2 hours to remove most of the moisture.

[0054] (6) Finally, place the foamed copper in a vacuum drying oven at 100°C and continue drying for 2 hours to completely desorb the residual moisture and obtain the foamed copper-based dehumidifying material.

[0055] Example 2: Foamed Copper-Based Rotary Dehumidifier

[0056] Please see Figure 1-2 The foam copper-based rotary dehumidifier in this embodiment includes a rotary base 1, a foam metal-based dehumidifying material 2, a rotary base 3, a motor 4, a transmission shaft 5, a PLC controller, and a temperature and humidity sensor.

[0057] The impeller base 1 is a cylindrical structure with a diameter of 500 mm and a thickness of 80 mm, made of an aluminum alloy frame. The impeller base 1 is divided into a dehumidification zone and a regeneration zone along its circumference, with the dehumidification zone occupying 65% of the impeller circumference and the regeneration zone occupying 35%. A 4 mm thick high-temperature resistant silicone heat-insulating sealing partition is installed between the dehumidification zone and the regeneration zone to prevent airflow mixing between the two zones.

[0058] The rotor base 1 has multiple fan-shaped chambers evenly distributed inside. Each fan-shaped chamber has a groove matching the thickness of the foam metal-based dehumidifying material 2. The groove depth is 7 mm, and a 0.3 mm thick silicone sealing strip is attached to the inner wall of the groove. The foam metal-based dehumidifying material 2 prepared in Example 1 is fixed in the groove by positioning pins and local epoxy resin adhesive to form an integral rotor dehumidifying assembly.

[0059] In this embodiment, the wheel base 1 is mounted on the wheel base 3, which provides support and a mounting foundation for the wheel base 1 to ensure the structural stability of the wheel during operation. The motor 4 is located on one side of the wheel base 3 and is connected to the wheel base 1 via a drive shaft 5. The motor 4 drives the drive shaft 5 to rotate, thereby causing the wheel base 1 to rotate continuously around its central axis. Preferably, the drive shaft 5 is arranged along the axial direction of the wheel base 1 and is fixedly connected to it, ensuring that the driving force can be stably transmitted to the wheel base 1. The PLC controller is electrically connected to the motor 4 and controls the output speed of the motor 4 according to the calculated optimal speed to achieve online adjustment of the rotation speed of the wheel base 1.

[0060] When the device is running, the humid air to be treated enters from one side of the dehumidification zone, is evenly distributed by the airflow distribution plate, and then flows through the foam metal-based dehumidification material 2. The moisture in the air is adsorbed, and the treated dry air is discharged from the other side of the dehumidification zone. The airflow velocity in the dehumidification zone is set to 1.8 m / s.

[0061] Regeneration hot air is introduced into the regeneration zone. The temperature of the regeneration hot air is set to 55℃, the flow rate is set to 1.0 m / s, and the airflow direction is opposite to that of the dehumidification zone. When the regeneration hot air flows through the foam metal-based dehumidifying material 2, it carries away the desorbed moisture, and the hot and humid air is discharged from the other side of the regeneration zone.

[0062] Temperature and humidity sensors are installed at the inlet and outlet of the dehumidification zone, the inlet and outlet of the regeneration zone, respectively. Each sensor is electrically connected to the PLC controller, and the sensor data acquisition frequency is set to once per minute.

[0063] Example 3: Online Optimization Control Method

[0064] Please see Figure 3 The online optimization control method of this embodiment is applied to the foam copper-based rotary dehumidifier described in Embodiment 2. With the goal of maximizing the single-cycle adsorption capacity, the rotary dehumidifier is subjected to closed-loop dynamic optimization control.

[0065] 1. Establishment of a linear driving force model

[0066] The adsorption kinetics of the copper-based foam desiccant material is described using a linear driving force model, the expression of which is:

[0067] .

[0068] Where k represents the adsorption rate coefficient, q e q represents the equilibrium water adsorption capacity. t This represents the dynamic water adsorption capacity at time t.

[0069] Integrating the above differential equation under the initial conditions t=0 and q(0)=0, we can obtain:

[0070] .

[0071] The parameter q can be obtained by fitting experimental data using this formula. e and k.

[0072] 2. Offline initialization

[0073] Before the device was put into operation, the adsorption / desorption kinetics of the foamed copper-based desiccant prepared in Example 1 were tested under conditions of 30°C and 60% relative humidity. The initial model parameters q were obtained by fitting the linear driving force model described above. e and k.

[0074] Subsequently, with the goal of maximizing the single-cycle adsorption capacity, the ratio of the initial optimal adsorption time to the optimal desorption time was determined to be 3:1, and an initial rotation speed control table was established.

[0075] 3. Relationship between adsorption time, desorption time and rotation speed

[0076] Let the total circumference of the rotor be L, the arc length of the dehumidification zone be L1, the arc length of the regeneration zone be L2, and the rotor speed be n. Then the adsorption time t1 and desorption time t2 satisfy the following conditions:

[0077] , .

[0078] Based on the optimal adsorption time t1 obtained from offline optimization, the optimal rotational speed n0 can be calculated in reverse:

[0079] .

[0080] 4. Online data acquisition and model updates

[0081] After the device is started, the PLC controller collects the inlet and outlet temperatures and humidity of the dehumidification zone, the inlet and outlet temperatures and humidity of the regeneration zone, the actual rotation speed of the rotor, and the airflow velocity in real time. Based on the humidity difference between the inlet and outlet and the airflow velocity, it calculates the actual single-cycle adsorption capacity and the actual adsorption rate.

[0082] In this embodiment, the model is updated every 10 cycles by default. During each update, the actual adsorption amount and adsorption time data from the last 5 cycles are used as samples, and the linear driving force model is refitted using the least squares method to update the q under the current operating condition. e and the k parameter.

[0083] When the temperature and humidity changes exceed ±5%, or the actual adsorption amount deviates from the model prediction by more than 10%, the model will be updated immediately.

[0084] 5. Speed ​​optimization control

[0085] The PLC controller is updated according to q. e Using the k parameter, the optimal adsorption time t1 and optimal desorption time t2 under the current operating conditions are recalculated, and the new optimal rotational speed n0 is obtained by reverse calculation using the formula. Then, the variable speed motor is controlled to adjust the rotational speed of the impeller.

[0086] When the updated k decreases, it indicates a decrease in the material adsorption rate. In this case, the adsorption time t1 should be extended, and the rotor speed reduced. When the updated q... e When the value decreases, it indicates that the material's equilibrium adsorption capacity has decreased. At this point, the ratio of adsorption time to desorption time should be re-optimized to increase the single-cycle adsorption capacity while ensuring sufficient regeneration.

[0087] During the operation of the device, the PLC controller continuously executes a closed-loop control process of "data acquisition - model update - speed recalculation - motor adjustment" to achieve online optimized control of the foam copper-based rotary dehumidifier.

[0088] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A foamed copper-based dehumidifying material, characterized in that, The invention includes a copper foam substrate and a composite desiccant loaded on the surface and internal pores of the copper foam substrate, wherein the composite desiccant includes polyvinyl alcohol and moisture-absorbing salt. The foamed copper substrate is a three-dimensional foamed copper with a connected pore structure, which is used as a carrier for composite desiccant and to improve heat and mass transfer efficiency. The polyvinyl alcohol is used to attach the hygroscopic salt to the foamed copper substrate, thereby forming a foamed copper-based desiccant material that can be adsorbed, dehumidified and regenerated by heating.

2. The foamed copper-based dehumidifying material according to claim 1, characterized in that, The polyvinyl alcohol solution has a mass concentration of 5 wt%, the hygroscopic salt is lithium chloride and / or calcium chloride, and the mass ratio of the hygroscopic salt to polyvinyl alcohol is 10 wt% to 25 wt%. The foamed copper substrate is pre-treated by drying before loading the composite desiccant, and after loading, it is sequentially treated by air drying, heat drying and vacuum drying to obtain the foamed copper-based desiccant material.

3. A foamed copper-based rotary dehumidifier, characterized in that, It includes a rotor base, a copper-based foam dehumidifying material disposed within the rotor base, a drive mechanism, and a dynamic optimization control module; The rotating wheel base is divided into a dehumidification zone and a regeneration zone along the circumference, and the rotating wheel base has multiple fan-shaped chambers for accommodating foamed copper-based dehumidification materials. The dynamic optimization control module is connected to the detection unit and the drive mechanism respectively located at the inlet and outlet of the dehumidification zone and the regeneration zone. It is used to dynamically update the adsorption / desorption model parameters according to the device operation data, and adjust the rotation speed of the rotor substrate in real time according to the updated model parameters.

4. The foamed copper-based rotary dehumidifier according to claim 3, characterized in that, The rotor base is an aluminum alloy frame structure. The dehumidification zone occupies 60% to 70% of the rotor circumference, and the regeneration zone occupies 30% to 40% of the rotor circumference. A heat-insulating and sealing partition is provided between the dehumidification zone and the regeneration zone. Regeneration hot air at a temperature of 50 to 60°C is introduced into the regeneration zone.

5. An online optimized control method for a foamed copper-based rotary dehumidifier, characterized in that, The application of the foamed copper-based rotary dehumidifier according to claim 3 or 4 includes the following steps: S1. Establish an adsorption / desorption model for the copper-based foam dehumidifier under different operating conditions, and determine the initial model parameters and the corresponding initial rotor speed based on the adsorption / desorption model; S2. During the operation of the device, real-time operating data of the dehumidification zone and the regeneration zone are collected, and state parameters characterizing the current adsorption / desorption performance are obtained based on the operating data. S3. Based on the operating data and the state parameters, update the model parameters of the adsorption / desorption model online to obtain the updated model parameters under the current operating conditions; S4. Recalculate the optimal adsorption time and optimal desorption time under the current operating conditions based on the updated model parameters, and determine the updated optimal rotor speed accordingly; S5. Control the drive mechanism to drive the rotor to run according to the updated optimal rotor speed, and repeat steps S2 to S4 to form a closed-loop online optimization control.

6. The online optimization control method according to claim 5, characterized in that, In step S1, the adsorption / desorption model is a linear driving force model, and the model parameters include at least the equilibrium adsorption amount parameter and the rate constant parameter. During offline modeling, the adsorption / desorption kinetic curves are measured and fitted within the operating conditions of 20-40℃ and 30%-90% relative humidity.

7. The online optimization control method according to claim 5, characterized in that, In step S2, the operating data includes at least the temperature and humidity data of the dehumidification zone inlet and outlet, the temperature and humidity data of the regeneration zone inlet and outlet, and the actual rotation speed data of the impeller. The state parameters include at least the actual adsorption amount and the actual adsorption rate.

8. The online optimization control method according to claim 5, characterized in that, In step S3, the actual operating data of the most recent predetermined number of operating cycles are used as samples to refit the linear driving force model in order to update the equilibrium adsorption parameter and the rate constant parameter.

9. The online optimization control method according to claim 8, characterized in that, The predetermined number is 5 running cycles, and the model parameters are updated regularly according to a preset update cycle, which is once every 10 running cycles; when the humidity change exceeds 5% or the actual adsorption amount deviates from the model prediction value by more than 10%, an immediate update is triggered.

10. The online optimization control method according to claim 5, characterized in that, In step S4, the optimal adsorption time and the optimal desorption time are determined with the goal of maximizing the single-cycle adsorption capacity, and the optimal rotor speed is determined by combining the circumferential length relationship between the rotor dehumidification zone and the regeneration zone; when the updated rate constant parameter decreases, the optimal adsorption time is extended and the rotor speed is reduced.

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