Intelligent control system for graphene-based high-adsorption physical dehumidification based on data acquisition

Abstract

This invention discloses a graphene-based intelligent control system for highly adsorbent physical dehumidification based on data acquisition, relating to the field of dehumidification control technology. The invention first collects a real-time dehumidification status dataset of the target dehumidification unit and dehumidification equipment, and generates a target temperature and humidity distribution map based on the dataset. A dehumidification texture map is then defined within this map, and dehumidification areas are further delineated. Based on the target dehumidification unit's movement speed along the dehumidification slide within the graphene dehumidification device, the environmental parameters included in the real-time dehumidification status dataset, and the spatial coordinates and status data of each device within the graphene dehumidification device, a graphene unit is selected for dynamic dehumidification simulation. Dynamic dehumidification control commands are generated and executed based on the simulation results.

Description

Technical Field

[0001] This invention relates to the field of dehumidification control technology, specifically to a graphene-based intelligent control system for highly adsorbent physical dehumidification based on data acquisition. Background Technology

[0002] In many fields such as industrial production, warehousing, and precision environmental control, precise control of air humidity is directly related to product quality, equipment lifespan, and energy efficiency. Traditional dehumidification technologies mainly rely on condensation dehumidification, solution absorption dehumidification, or rotary adsorption dehumidification. Condensation dehumidification cools the air below the dew point to precipitate water. Although the technology is mature, it suffers from high energy consumption and a significant decrease in energy efficiency when dealing with low dew point or low temperature conditions. Solution absorption dehumidification has inherent drawbacks such as highly corrosive solutions, complex regeneration processes, and difficult waste liquid treatment. Although rotary adsorption dehumidification can achieve continuous operation, its adsorption materials are mostly silica gel or molecular sieves, with limited adsorption capacity and high regeneration temperatures, resulting in low overall system thermal efficiency and difficulty in meeting increasingly stringent energy-saving and carbon-reduction requirements.

[0003] In recent years, graphene materials, due to their extremely high specific surface area, abundant surface functional groups, and excellent physical adsorption properties, have been gradually introduced into the field of humidity control, demonstrating the potential for efficient adsorption at room temperature and regeneration at low temperatures. However, existing graphene dehumidification applications mostly remain at the material level or are simple fixed adsorption devices, lacking dynamic and precise intelligent control methods tailored to actual target objects. This makes it difficult to generate adaptive dehumidification strategies based on the real-time humidity distribution, spatial location changes, and equipment operating status of the target object. Furthermore, the lack of coordinated scheduling and regeneration timing optimization for multiple graphene units leads to insufficient dehumidification uniformity, low unit utilization, and difficulty in fully realizing the overall energy efficiency of the system.

[0004] Therefore, there is an urgent need for a system that can accurately perceive, dynamically simulate, and adaptively control the entire process of the target dehumidification unit. To this end, a data-driven graphene-based physical dehumidification intelligent control system is provided. Summary of the Invention

[0005] The purpose of this invention is to provide a graphene-based intelligent control system for high-adsorption physical dehumidification based on data acquisition, so as to solve the problems in the background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: The graphene-based high-adsorption physical dehumidification intelligent control system based on data acquisition includes a hardware control terminal, a cloud data analysis terminal, and a graphene dehumidification device. The hardware control terminal is equipped with a data sensing unit and a dehumidification device unit; The data sensing unit is used to connect the sensing devices on the graphene dehumidification device. After each dehumidification sensing cycle, it acquires the real-time status data of the target dehumidification unit, the spatial coordinates and status data of each device in the graphene dehumidification device, and the environmental parameters inside the device, and integrates them to generate a real-time dehumidification status dataset. The dehumidification equipment unit is used to receive and execute dynamic dehumidification control commands from the cloud data analysis terminal, and then control the real-time power and spatial coordinates of each device in the graphene dehumidification device according to the dynamic dehumidification control commands to achieve point-to-point dehumidification of the target dehumidification unit. The cloud data analysis terminal is used to generate a target temperature and humidity distribution map, divide a dehumidification texture map in the target temperature and humidity distribution map, and divide a dehumidification area in the dehumidification texture map. Based on the moving speed of the target dehumidification unit along the dehumidification slide in the graphene dehumidification device, the environmental parameters contained in the real-time dehumidification status dataset, and the spatial coordinates and device status data of each device in the graphene dehumidification device, a graphene unit is selected to perform dynamic dehumidification simulation. Based on the dynamic dehumidification simulation results, a dynamic dehumidification control command is generated and executed. The graphene dehumidification device consists of a sensing device, a dehumidification slide, a graphene-based adsorption device, an air circulation fan, and a regeneration heating device, wherein the graphene-based adsorption device is composed of several graphene units.

[0007] Furthermore, the process by which the data sensing unit generates a real-time dehumidification status dataset through sensing devices includes: Each device within the graphene dehumidification device, including the graphene-based adsorption device, the air circulation fan, and the regenerative heating device, is independently bound to at least one sensing device. After the target dehumidification unit enters the dehumidification chute, the hardware control terminal starts the first round of data acquisition according to the preset dehumidification sensing cycle; During the first dehumidification sensing cycle, the data sensing unit acquires the real-time status data of the target dehumidification unit through the sensing device. The real-time status data specifically includes the volume status data of the target dehumidification unit and the three-dimensional temperature and humidity distribution at various locations inside it. Meanwhile, the data sensing unit also collects the spatial coordinates and equipment status data of each device in the graphene dehumidification device, as well as the environmental parameters inside the device. At the end of the first dehumidification sensing cycle, the data sensing unit integrates the real-time status data of the target dehumidification unit, the spatial coordinates and status data of each device, and the environmental parameters inside the device to generate a real-time dehumidification status dataset.

[0008] Furthermore, the cloud data analytics platform generates a target temperature and humidity distribution map, and then divides the target temperature and humidity distribution map into a dehumidification texture map. The process of dividing the dehumidification area into the dehumidification texture map includes: After receiving the first real-time dehumidification status dataset, the cloud data analysis terminal immediately initiates the process of generating a target temperature and humidity distribution map for the target dehumidification unit. The target temperature and humidity distribution map is based on the three-dimensional geometric model of the target dehumidification unit. The model is filled with interpolation based on the temperature and humidity distribution of each internal location contained in the real-time status data to form a temperature and humidity heat map covering the entire spatial area of ​​the target dehumidification unit. The temperature and humidity heat map uses color levels or thermal stripes to represent the humidity values ​​at different locations. The dehumidification texture map is obtained by image segmentation on the target temperature and humidity distribution map by setting a humidity gradient threshold and spatial continuity conditions. Based on the dehumidification texture map, the cloud data analysis terminal further divides it into several dehumidification areas. Each dehumidification area corresponds to a spatial block with relatively independent humidity and consistent internal humidity characteristics. The area size of the dehumidification area is equal to the adsorption area of ​​the graphene unit.

[0009] Furthermore, the process of selecting graphene units includes: The cloud data analysis terminal sets the dehumidification priority based on the temperature and humidity values ​​of each dehumidification zone and the user's preset dehumidification target standard. The rule for setting the dehumidification priority is: the greater the deviation of the current humidity from the target dehumidification standard, the higher the dehumidification priority. For dehumidification zones with the same degree of deviation, the size of the zone volume or area is used as the secondary sorting basis, so that areas with high humidity and high concentration receive priority in dehumidification resource allocation. Then, the cloud data analysis terminal checks the working status of all graphene units based on the equipment status data of the graphene-based adsorption device in the real-time dehumidification status data set. This includes whether the unit is currently in the adsorption stage, the regeneration stage, or the standby state, as well as its current remaining adsorption capacity and real-time temperature. Graphene units that are in the standby state, have sufficient adsorption capacity, and are within the normal operating temperature range are selected as candidate units for dehumidification. Based on the spatial location of the dehumidification area, the candidate graphene units are scheduled and allocated according to the optimal distance principle.

[0010] Furthermore, the process of generating dynamic dehumidification control commands based on dynamic dehumidification simulation includes: After the selection and allocation of graphene units are completed, the cloud data analysis terminal uses the current moving speed and expected trajectory of the target dehumidification unit along the dehumidification slide in the graphene dehumidification device, combined with the environmental parameters in the real-time dehumidification status dataset, the spatial coordinates of each device in the graphene dehumidification device, and the device status data, to perform dynamic dehumidification simulation for the next dehumidification sensing cycle. The dynamic dehumidification simulation is based on a multi-physics coupling model. By coupling and solving the physical field coupling model in numerical space, the cloud data analysis terminal can simulate the humidity change process of the target dehumidification unit in each dehumidification area during the next dehumidification sensing cycle in the simulation environment, as well as the temperature and humidity change process of each graphene unit during the dehumidification process. The expected temperature and humidity change trends of each dehumidification zone and graphene unit are obtained through dynamic simulation results, and the internal simulation data of the graphene dehumidification device is output. Based on the dynamic dehumidification simulation results, the cloud data analysis terminal further generates control instructions for the air circulation fan and regenerative heating device in the next dehumidification sensing cycle. At the same time, the cloud data analysis terminal also generates scheduling instructions for the graphene units. The scheduling instructions are used to indicate the spatial position adjustment direction and distance of each graphene unit, the start and end time of the adsorption action, the adsorption duration, and when a graphene unit is saturated or ends its dehumidification behavior, to call up the graphene unit in standby state to take over its dehumidification behavior.

[0011] Furthermore, the multiphysics coupling model includes an airflow model, a humidity diffusion model, a graphene adsorption kinetics model, and a thermal regeneration model; The airflow model is used to calculate the evolution of the velocity field, pressure field, and impurity distribution of the air inside the device under the action of the air circulation fan. The humidity diffusion model calculates the migration and evaporation process of moisture inside and on the surface of the target dehumidification unit. The graphene adsorption kinetics model calculates the adsorption and removal rate of moisture under the current humidity conditions based on the adsorption isotherm and adsorption rate equation of the graphene unit. The thermal regeneration model simulates the heat transfer and desorption process when the regeneration heating device needs to heat and regenerate the saturated graphene unit.

[0012] Furthermore, the execution process of the dynamic dehumidification control command: Based on the real-time temperature and humidity status of the graphene units, the duration of dehumidification behavior performed by different graphene units is set to adaptively change. When the humidity of a dehumidification area is still higher than the dehumidification standard, but the graphene unit currently responsible for the dehumidification area has reached adsorption saturation or is about to end its adsorption cycle, the scheduling command will pre-generate a new scheduling command for the graphene unit. The control commands of the air circulation fan, the regenerative heating device, and the graphene unit are integrated to generate dynamic dehumidification control commands. These commands are then sent from the cloud data analysis terminal to the dehumidification equipment unit at the hardware control terminal. Upon receiving the dynamic dehumidification control commands, the dehumidification equipment unit parses the command content and distributes the parsed specific equipment control signals to the corresponding equipment. This enables real-time power adjustment, position movement, and working status switching of each device within the graphene dehumidification device, ultimately completing the targeted dehumidification action at the physical level.

[0013] Furthermore, after each dehumidification sensing cycle, the cloud data analysis terminal determines whether the temperature and humidity at each location of the target dehumidification unit have reached the dehumidification standard. The dehumidification standard is a point-by-point judgment condition based on the user's preset target humidity value and allowable deviation range. If the humidity values ​​of all sampling points inside the target dehumidification unit have reached or fallen below the dehumidification standard, it means that the target dehumidification unit as a whole has met the dehumidification requirements. At this time, the cloud data analysis terminal generates a dehumidification completion instruction and integrates it into the dynamic dehumidification control instruction. The dehumidification equipment unit controls the slide inlet and outlet of the dehumidification slide, so that the target dehumidification unit leaves the graphene dehumidification device from the slide outlet. If, at the end of a dehumidification sensing cycle, some locations of the target dehumidification unit still fail to meet the dehumidification standard, the target dehumidification unit will not leave from the slide outlet. Instead, it will continue to circulate along the dehumidification slide or remain in its current position, continuing to receive fixed-point dehumidification control in the next dehumidification sensing cycle until the humidity at all locations meets the dehumidification standard.

[0014] The technical effects and advantages provided by the present invention in the above technical solution are as follows: 1. This invention utilizes a multi-level intelligent architecture consisting of a hardware control terminal, a cloud data analysis terminal, and a graphene dehumidification device. By continuously collecting real-time status data and environmental parameters of the target dehumidification unit during the dehumidification sensing cycle, it achieves precise perception and dynamic closed-loop control of the entire dehumidification process. Simultaneously, based on real-time data, it generates a target temperature and humidity distribution map and divides the dehumidification area. Combined with dynamic dehumidification simulation to predict temperature and humidity change trends, it generates refined scheduling instructions for the air circulation fan, regenerative heating device, and graphene unit, achieving targeted dehumidification and improving dehumidification accuracy and humidity uniformity of the target object to a certain extent.

[0015] 2. This invention achieves online monitoring and dynamic scheduling of the adsorption state, real-time temperature and humidity, and spatial position of multiple graphene units in a graphene-based adsorption device. Before the dehumidification standard is reached in the dehumidification area, the saturated unit is automatically replaced. In conjunction with the regeneration heating device, low-temperature and high-efficiency regeneration is carried out as needed, so that the graphene units always maintain high adsorption activity. This effectively avoids the dehumidification interruption problem caused by the shutdown regeneration of traditional fixed adsorption devices. At the same time, it optimizes regeneration energy consumption and maximizes the energy efficiency ratio under continuous operation. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0017] Figure 1This is a system block diagram of the present invention.

[0018] Figure 2 This is a schematic diagram of the graphene dehumidification device described in this invention; The attached diagram is labeled as follows: 2 dehumidification slide, 5 graphene-based adsorption device, 1 air circulation fan, 3 regeneration heating device, 4 heating air outlet, and 6 slide outlet. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figure 1 As shown, the graphene-based high-adsorption physical dehumidification intelligent control system based on data acquisition includes a hardware control terminal, a cloud data analysis terminal, and a graphene dehumidification device. Please see Figure 2 As shown, the graphene dehumidification device consists of a sensing device, a dehumidification slide 2, a graphene-based adsorption device 5, an air circulation fan 1, a regeneration heating device 3, a heating air outlet 4, and a slide outlet 6. The hardware control terminal is equipped with a data sensing unit and a dehumidification device unit; The data sensing unit is used to connect the sensing devices on the graphene dehumidification device. After each dehumidification sensing cycle, it acquires the real-time status data of the target dehumidification unit, the spatial coordinates and status data of each device in the graphene dehumidification device, and the environmental parameters inside the device, and integrates them to generate a real-time dehumidification status dataset. The dehumidification equipment unit is used to receive and execute dynamic dehumidification control commands from the cloud data analysis terminal, and then control the real-time power and spatial coordinates of each device in the graphene dehumidification device according to the dynamic dehumidification control commands to achieve point-to-point dehumidification of the target dehumidification unit. The cloud data analysis terminal is used to generate a target temperature and humidity distribution map, divide a dehumidification texture map in the target temperature and humidity distribution map, and divide a dehumidification area in the dehumidification texture map. Based on the moving speed of the target dehumidification unit along the dehumidification slide 2 in the graphene dehumidification device, the environmental parameters contained in the real-time dehumidification status dataset, and the spatial coordinates and device status data of each device in the graphene dehumidification device, a graphene unit is selected to perform dynamic dehumidification simulation. Based on the dynamic dehumidification simulation results, a dynamic dehumidification control command is generated and executed. The sensing devices consist of temperature and humidity sensors, power sensors, and other sensing devices. Each device in the graphene dehumidification device has a built-in sensing device. The graphene-based adsorption device 5, the air circulation fan 1, and the regeneration heating device 3 are distributed around the dehumidification slide 2. The graphene-based adsorption device 5 consists of several graphene units, each of which contains graphene and can move within the dehumidification slide 2.

[0021] The working principle of the present invention is illustrated below through examples: Before dehumidification, the target dehumidification unit is sent into the dehumidification slide 2 of the graphene dehumidification device. The target dehumidification unit moves along the dehumidification slide 2 at a set speed. At the same time, the data sensing unit in the hardware control terminal is immediately activated and connected to all the sensing devices on the graphene dehumidification device. The sensing devices include temperature and humidity sensors, power sensors, air flow rate sensors, and air quality impurity sensors. Each device in the graphene dehumidification device, including each graphene unit in the graphene-based adsorption device 5, the air circulation fan 1, and the regeneration heating device 3, is independently bound to at least one sensing device, thereby forming a complete device status monitoring network. After the target dehumidification unit enters the dehumidification slide 2, the hardware control terminal starts the first round of data acquisition according to the preset dehumidification sensing cycle; During the first dehumidification sensing cycle, the data sensing unit acquires the real-time status data of the target dehumidification unit through the sensing device. The real-time status data specifically includes the volume status data of the target dehumidification unit and the three-dimensional temperature and humidity distribution at various locations inside it. The volumetric state data describes the geometric shape, cross-sectional area change, and real-time position of the target dehumidification unit in the dehumidification chute 2; the three-dimensional temperature and humidity distribution represents the temperature and relative humidity values ​​at several sampling points arranged in a grid form inside the target dehumidification unit. The sampling points are divided according to the actual spatial size of the target dehumidification unit, and each sampling point corresponds to a set of temperature and humidity data. Meanwhile, the data sensing unit also collects the spatial coordinates and equipment status data of each device in the graphene dehumidification device; The spatial coordinates are used to determine the real-time three-dimensional position of each graphene unit, air circulation fan 1, and regeneration heating device 3 in the graphene dehumidification device 5; the equipment status data includes the real-time temperature and humidity data, power data, operating speed, valve opening, etc. In addition, the data sensing unit synchronously collects environmental parameters inside the device. These environmental parameters include the temperature and humidity distribution, air velocity distribution, and air quality impurity concentration inside the graphene dehumidification device. These parameters reflect the basic state of the overall dehumidification environment inside the device. At the end of the first dehumidification sensing cycle, the data sensing unit integrates the real-time status data of the target dehumidification unit, the spatial coordinates and status data of each device, and the environmental parameters inside the device to generate a real-time dehumidification status dataset, and sends it to the cloud data analysis terminal. The real-time dehumidification status dataset is indexed by the timestamp of the dehumidification sensing cycle and archived in the order of the dehumidification sensing cycle to form continuous time series data, providing a data foundation for subsequent dynamic simulation and control decisions.

[0022] Furthermore, after receiving the first real-time dehumidification status dataset, the cloud data analysis terminal immediately initiates the process of generating a target temperature and humidity distribution map for the target dehumidification unit. The target temperature and humidity distribution map is based on the three-dimensional geometric model of the target dehumidification unit. The model is filled with interpolation based on the temperature and humidity distribution of each internal location contained in the real-time status data, forming a temperature and humidity heat map covering the entire spatial area of ​​the target dehumidification unit. The temperature and humidity heat map uses color levels or thermal stripes to represent the humidity values ​​at different locations, making high humidity areas and low humidity areas clearly distinguishable. After generating the target temperature and humidity distribution map, the cloud data analysis terminal performs texture analysis on it to divide it into a dehumidification texture map. The dehumidification texture map is obtained by image segmentation on the target temperature and humidity distribution map by setting a humidity gradient threshold and spatial continuity conditions. Its essence is to extract the spatial heterogeneity features in the humidity distribution. Based on the dehumidification texture map, the cloud data analysis terminal further divides it into several dehumidification areas. Each dehumidification area corresponds to a spatial block with relatively independent humidity and consistent internal humidity characteristics. The area size of the dehumidification area is kept equal to the adsorption area of ​​the graphene unit to ensure that a graphene unit can completely cover a dehumidification area at any time for fixed-point adsorption and dehumidification. After the dehumidification zones are divided, the cloud data analysis terminal sets the dehumidification priority based on the temperature and humidity values ​​of each dehumidification zone and the user's preset dehumidification target standard. The rule for setting the dehumidification priority is: the greater the deviation of the current humidity from the target dehumidification standard, the higher the dehumidification priority. For dehumidification zones with the same degree of deviation, the size of the zone volume or area is used as the secondary sorting basis, so that areas with high humidity and high concentration receive priority in dehumidification resource allocation. Then, the cloud data analysis terminal selects the graphene unit to perform dehumidification based on the equipment status data of the graphene-based adsorption device 5 in the real-time dehumidification status dataset. The specific selection process is as follows: check the working status of all graphene units, including whether they are currently in the adsorption stage, the regeneration stage, or the standby state, the current remaining adsorption capacity, and the real-time temperature. Prioritize the selection of graphene units that are in the standby state with sufficient adsorption capacity and temperature within the normal operating range as candidate units to perform dehumidification. According to the spatial location of the dehumidification area, the candidate graphene units are scheduled and allocated according to the distance optimization principle, that is, the graphene unit closest to the slide position of the target dehumidification area is scheduled to be placed above the dehumidification area to minimize response time and position adjustment energy consumption.

[0023] Furthermore, after the selection and allocation of graphene units are completed, the cloud data analysis terminal uses the current moving speed and expected trajectory of the target dehumidification unit along the dehumidification slide 2 in the graphene dehumidification device, combined with the environmental parameters in the real-time dehumidification status dataset, the spatial coordinates of each device in the graphene dehumidification device, and the device status data, to perform dynamic dehumidification simulation for the next dehumidification sensing cycle. The dynamic dehumidification simulation is based on a multi-physics coupling model, including an air flow model, a humidity diffusion model, a graphene adsorption kinetics model, and a thermal regeneration model. The air flow model is used to calculate the evolution of the velocity field, pressure field and impurity distribution of the air inside the device under the action of the air circulation fan 1. The humidity diffusion model calculates the migration and evaporation process of moisture inside and on the surface of the target dehumidification unit. The graphene adsorption kinetics model calculates the adsorption and removal rate of moisture under the current humidity conditions based on the adsorption isotherm and adsorption rate equation of the graphene unit. The thermal regeneration model simulates the heat transfer and desorption process of the regeneration heating device 3 when it is necessary to heat and regenerate the saturated graphene unit. By coupling and solving the physical field coupling model in numerical space, the cloud data analysis terminal can simulate the humidity change process of the target dehumidification unit in each dehumidification area during the next dehumidification sensing cycle in the simulation environment, as well as the temperature and humidity change process of each graphene unit during the dehumidification process. The expected temperature and humidity change trends of each dehumidification zone and graphene unit are obtained through dynamic simulation results. Simultaneously, simulated data such as the expected temperature and humidity distribution changes inside the graphene dehumidification device and the pressure difference changes in the flow channels before and after the air circulation fan 1 are output. Based on the dynamic dehumidification simulation results, the cloud data analysis terminal further generates control instructions for the air circulation fan 1 and the regeneration heating device 3 in the next dehumidification sensing cycle. The control instructions for the air circulation fan 1 include parameters such as the target value of the speed adjustment and the air supply direction, so as to ensure that the air flow inside the graphene dehumidification device meets the dehumidification requirements and avoids local moisture accumulation. The control instructions for the regeneration heating device 3 include the heating temperature setpoint, heating period and heating power curve, so as to ensure that there is sufficient heat for efficient desorption when the graphene unit needs to be regenerated. Meanwhile, the cloud data analysis terminal also generates scheduling instructions for the graphene units. These instructions are used to indicate the spatial position adjustment direction and distance of each graphene unit, the start and end times of the adsorption action, the adsorption duration, and when a graphene unit is saturated or ends its dehumidification behavior, to call up a graphene unit in standby mode to take over its dehumidification behavior. It should be noted that, based on the real-time temperature and humidity status of the graphene units, the duration of dehumidification behavior performed by different graphene units is set to adaptively change. When the humidity in a dehumidification area is still higher than the dehumidification standard, but the graphene unit currently responsible for the dehumidification area has reached adsorption saturation or is about to end its adsorption cycle, the scheduling command will pre-generate a new scheduling command for the graphene unit to ensure seamless replacement of graphene units in the same dehumidification area and ensure the continuity of dehumidification behavior. The control commands of the air circulation fan 1, the control commands of the regenerative heating device 3, and the scheduling commands of the graphene unit are ultimately integrated to generate dynamic dehumidification control commands. These commands are sent from the cloud data analysis terminal to the dehumidification equipment unit at the hardware control terminal. After receiving the dynamic dehumidification control commands, the dehumidification equipment unit parses the command content and distributes the parsed specific equipment control signals to the corresponding equipment. This enables real-time power adjustment, position movement, and working status switching of each device within the graphene dehumidification device, ultimately completing the targeted dehumidification action of the target dehumidification unit at the physical level.

[0024] Furthermore, after each dehumidification sensing cycle, the cloud data analysis terminal determines whether the temperature and humidity at each location of the target dehumidification unit have reached the dehumidification standard. The dehumidification standard is a point-by-point judgment condition based on the user's preset target humidity value and allowable deviation range. If the humidity values ​​of all sampling points inside the target dehumidification unit have reached or fallen below the dehumidification standard, it means that the target dehumidification unit as a whole has met the dehumidification requirements. At this time, the cloud data analysis terminal generates a dehumidification completion instruction and integrates it into the dynamic dehumidification control instruction. The dehumidification equipment unit controls the slide inlet and outlet of the dehumidification slide 2, so that the target dehumidification unit leaves the graphene dehumidification device from the slide outlet 6. If, at the end of a dehumidification sensing cycle, some locations of the target dehumidification unit still fail to meet the dehumidification standard, the target dehumidification unit will not leave from the slide outlet 6, but will continue to cycle along the dehumidification slide 2 or remain in the current position, and continue to receive fixed-point dehumidification control in the next dehumidification sensing cycle until the humidity of all locations meets the dehumidification standard. It should be noted that for high humidity areas that still fail to meet the standards after multiple cycles, the cloud data analysis terminal dynamically increases the dehumidification priority and adds more graphene units for parallel adsorption. At the same time, the local air supply intensity of the air circulation fan 1 and the desorption auxiliary power of the regeneration heating device 3 in this area are increased accordingly. It should be further explained that the graphene-based adsorption device 5 in the graphene dehumidification device is composed of multiple independent and controllable graphene units. Each graphene unit has a layer of graphene material with high adsorption capacity. However, the adsorption capacity of the graphene unit is limited. As the amount of water adsorbed increases, its surface adsorption sites are gradually occupied, the adsorption rate decreases, and its own temperature will rise slightly due to the exothermic adsorption, which will affect the adsorption performance to a certain extent. Therefore, after each graphene unit has been working for a certain period of time, its real-time temperature and humidity data will reflect this trend of adsorption capacity decay. When the cloud data analysis terminal determines that the adsorption capacity of a graphene unit has dropped to a preset threshold, or that the dehumidification area under the responsibility of the graphene unit has not yet reached the dehumidification standard but is close to saturation, a new graphene unit will be scheduled to replace it in the dynamic dehumidification control command. The replaced graphene unit will move along the circulation path around the dehumidification slide 2 to the vicinity of the regeneration heating device 3, where it will be heated and regenerated by the regeneration heating device 3. During the regeneration process, the regeneration heating device 3 heats the graphene unit uniformly according to the current water content of the graphene unit, the target water content of regeneration, and the optimal thermal desorption curve, so that the adsorbed water molecules can obtain enough energy to desorb and release. The released water vapor is discharged into the exhaust channel or condensation recovery system through the air circulation fan 1, thereby allowing the graphene unit to restore its high adsorption capacity and return to the standby state, waiting for the next distribution. In addition, within the internal environment of the graphene dehumidification device, the air circulation fan 1 is used to guide the humid air to flow across the surface of the graphene unit. It also includes maintaining a reasonable distribution of airflow organization within the device to avoid airflow short-circuiting or stagnation in local high-humidity areas. The cloud data analysis terminal continuously monitors the airflow velocity distribution and air quality impurity data inside the device, and can finely adjust the fan speed and airflow direction in dynamic dehumidification simulation.

[0025] As dehumidification continues, the real-time dehumidification status dataset will accumulate continuously. The cloud data analysis terminal uses this long-term data to continuously optimize the interpolation accuracy of the target temperature and humidity distribution map, the division threshold of the dehumidification texture map, the weight parameters of the dehumidification priority, and the correction coefficients of the multiphysics coupling model.

[0026] Through the entire process described above, this invention enables the rapid generation of optimal dehumidification strategies for different types of target dehumidification units (such as different materials, different initial moisture content distributions, and different geometric shapes), significantly improving dehumidification quality and energy efficiency ratio. Ultimately, through real-time data acquisition and command execution at the hardware control end, dynamic simulation and strategy optimization at the cloud data analysis end, the ultra-high adsorption capacity of the graphene-based adsorption device 5 in the graphene dehumidification device, the process scheduling of the dehumidification slide 2, and the coordinated cooperation of the air circulation fan 1 and the regeneration heating device 3, high-precision, high-efficiency, continuous dynamic and intelligent physical dehumidification control of the target dehumidification unit is achieved.

[0027] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A graphene-based high adsorptive physical dehumidification intelligent control system based on data acquisition, characterized in that, This includes a hardware control unit, a cloud data analysis unit, and a graphene dehumidification device. The hardware control terminal is equipped with a data sensing unit and a dehumidification device unit; The data sensing unit is used to connect the sensing devices on the graphene dehumidification device. After each dehumidification sensing cycle, it acquires the real-time status data of the target dehumidification unit, the spatial coordinates and status data of each device in the graphene dehumidification device, and the environmental parameters inside the device, and integrates them to generate a real-time dehumidification status dataset. The dehumidification equipment unit is used to receive and execute dynamic dehumidification control commands from the cloud data analysis terminal, and then control the real-time power and spatial coordinates of each device in the graphene dehumidification device according to the dynamic dehumidification control commands to achieve point-to-point dehumidification of the target dehumidification unit. The cloud data analysis terminal is used to generate a target temperature and humidity distribution map, divide a dehumidification texture map in the target temperature and humidity distribution map, and divide a dehumidification area in the dehumidification texture map. Based on the moving speed of the target dehumidification unit along the dehumidification slide in the graphene dehumidification device, the environmental parameters contained in the real-time dehumidification status dataset, and the spatial coordinates and device status data of each device in the graphene dehumidification device, a graphene unit is selected to perform dynamic dehumidification simulation. Based on the dynamic dehumidification simulation results, a dynamic dehumidification control command is generated and executed. The graphene dehumidification device consists of a sensing device, a dehumidification slide, a graphene-based adsorption device, an air circulation fan, and a regeneration heating device, wherein the graphene-based adsorption device is composed of several graphene units.

2. The graphene-based high-adsorption physical dehumidification intelligent control system based on data acquisition according to claim 1, characterized in that, The process by which the data sensing unit generates a real-time dehumidification status dataset through sensing devices includes: Each device within the graphene dehumidification device, including the graphene-based adsorption device, the air circulation fan, and the regenerative heating device, is independently bound to at least one sensing device. After the target dehumidification unit enters the dehumidification chute, the hardware control terminal starts the first round of data acquisition according to the preset dehumidification sensing cycle; During the first dehumidification sensing cycle, the data sensing unit acquires the real-time status data of the target dehumidification unit through the sensing device. The real-time status data specifically includes the volume status data of the target dehumidification unit and the three-dimensional temperature and humidity distribution at various locations inside it. Meanwhile, the data sensing unit also collects the spatial coordinates and equipment status data of each device in the graphene dehumidification device, as well as the environmental parameters inside the device. At the end of the first dehumidification sensing cycle, the data sensing unit integrates the real-time status data of the target dehumidification unit, the spatial coordinates and status data of each device, and the environmental parameters inside the device to generate a real-time dehumidification status dataset.

3. The graphene-based high-adsorption physical dehumidification intelligent control system based on data acquisition according to claim 2, characterized in that, The cloud data analytics platform generates a target temperature and humidity distribution map, and then divides a dehumidification texture map into the target temperature and humidity distribution map. The process of dividing the dehumidification area into the dehumidification texture map includes: After receiving the first real-time dehumidification status dataset, the cloud data analysis terminal immediately initiates the process of generating a target temperature and humidity distribution map for the target dehumidification unit. The target temperature and humidity distribution map is based on the three-dimensional geometric model of the target dehumidification unit. The model is filled with interpolation based on the temperature and humidity distribution of each internal location contained in the real-time status data to form a temperature and humidity heat map covering the entire spatial area of ​​the target dehumidification unit. The temperature and humidity heat map uses color levels or thermal stripes to represent the humidity values ​​at different locations. The dehumidification texture map is obtained by image segmentation on the target temperature and humidity distribution map by setting a humidity gradient threshold and spatial continuity conditions. Based on the dehumidification texture map, the cloud data analysis terminal further divides it into several dehumidification areas. Each dehumidification area corresponds to a spatial block with relatively independent humidity and consistent internal humidity characteristics. The area size of the dehumidification area is equal to the adsorption area of ​​the graphene unit.

4. The graphene-based high adsorptive physical dehumidification intelligent control system based on data collection according to claim 3, characterized in that, The process of selecting graphene units includes: The cloud data analysis terminal sets the dehumidification priority based on the temperature and humidity values ​​of each dehumidification zone and the user's preset dehumidification target standard. The rule for setting the dehumidification priority is: the greater the deviation of the current humidity from the target dehumidification standard, the higher the dehumidification priority. For dehumidification zones with the same degree of deviation, the size of the zone volume or area is used as the secondary sorting basis, so that areas with high humidity and high concentration receive priority in dehumidification resource allocation. Then, the cloud data analysis terminal checks the working status of all graphene units based on the equipment status data of the graphene-based adsorption device in the real-time dehumidification status data set. This includes whether the unit is currently in the adsorption stage, the regeneration stage, or the standby state, as well as its current remaining adsorption capacity and real-time temperature. Graphene units that are in the standby state, have sufficient adsorption capacity, and are within the normal operating temperature range are selected as candidate units for dehumidification. Based on the spatial location of the dehumidification area, the candidate graphene units are scheduled and allocated according to the optimal distance principle.

5. The data acquisition based graphene based high adsorptive physical dehumidification intelligent control system according to claim 4, wherein, The process of generating dynamic dehumidification control commands based on dynamic dehumidification simulation includes: After the selection and allocation of graphene units are completed, the cloud data analysis terminal uses the current moving speed and expected trajectory of the target dehumidification unit along the dehumidification slide in the graphene dehumidification device, combined with the environmental parameters in the real-time dehumidification status dataset, the spatial coordinates of each device in the graphene dehumidification device, and the device status data, to perform dynamic dehumidification simulation for the next dehumidification sensing cycle. The dynamic dehumidification simulation is based on a multi-physics coupling model. By coupling and solving the physical field coupling model in numerical space, the cloud data analysis terminal can simulate the humidity change process of the target dehumidification unit in each dehumidification area during the next dehumidification sensing cycle in the simulation environment, as well as the temperature and humidity change process of each graphene unit during the dehumidification process. Based on the dynamic dehumidification simulation results, the cloud data analysis terminal further generates control instructions for the air circulation fan and regenerative heating device in the next dehumidification sensing cycle. At the same time, the cloud data analysis terminal also generates scheduling instructions for the graphene units. The scheduling instructions are used to indicate the spatial position adjustment direction and distance of each graphene unit, the start and end time of the adsorption action, the adsorption duration, and when a graphene unit is saturated or ends its dehumidification behavior, to call up the graphene unit in standby state to take over its dehumidification behavior.

6. The data acquisition based graphene based high adsorptive physical dehumidification intelligent control system according to claim 5, wherein, The multiphysics coupling model includes an airflow model, a humidity diffusion model, a graphene adsorption kinetics model, and a thermal regeneration model. The airflow model is used to calculate the evolution of the velocity field, pressure field, and impurity distribution of the air inside the device under the action of the air circulation fan. The humidity diffusion model calculates the migration and evaporation process of moisture inside and on the surface of the target dehumidification unit. The graphene adsorption kinetics model calculates the adsorption and removal rate of moisture under the current humidity conditions based on the adsorption isotherm and adsorption rate equation of the graphene unit. The thermal regeneration model simulates the heat transfer and desorption process when the regeneration heating device needs to heat and regenerate the saturated graphene unit.

7. The data acquisition based graphene based high adsorptive physical dehumidification intelligent control system according to claim 5, wherein, The execution process of dynamic dehumidification control commands: Based on the real-time temperature and humidity status of the graphene units, the duration of dehumidification behavior performed by different graphene units is set to adaptively change. When the humidity of a dehumidification area is still higher than the dehumidification standard, but the graphene unit currently responsible for the dehumidification area has reached adsorption saturation or is about to end its adsorption cycle, the scheduling command will pre-generate a new scheduling command for the graphene unit. The control commands of the air circulation fan, the regenerative heating device, and the graphene unit are integrated to generate dynamic dehumidification control commands. These commands are then sent from the cloud data analysis terminal to the dehumidification equipment unit at the hardware control terminal. Upon receiving the dynamic dehumidification control commands, the dehumidification equipment unit parses the command content and distributes the parsed specific equipment control signals to the corresponding equipment. This enables real-time power adjustment, position movement, and working status switching of each device within the graphene dehumidification device, ultimately completing the targeted dehumidification action at the physical level.

8. The graphene-based high adsorptive physical dehumidification intelligent control system based on data collection according to claim 7, characterized in that, After each dehumidification sensing cycle, the cloud data analysis terminal judges whether the temperature and humidity at each location of the target dehumidification unit have reached the dehumidification standard. The dehumidification standard is a point-by-point judgment condition based on the user's preset target humidity value and allowable deviation range. If the humidity values ​​of all sampling points inside the target dehumidification unit have reached or fallen below the dehumidification standard, it means that the target dehumidification unit as a whole has met the dehumidification requirements. At this time, the cloud data analysis terminal generates a dehumidification completion instruction and integrates it into the dynamic dehumidification control instruction. The dehumidification equipment unit controls the slide inlet and outlet of the dehumidification slide, so that the target dehumidification unit leaves the graphene dehumidification device from the slide outlet. If, at the end of a dehumidification sensing cycle, some locations of the target dehumidification unit still fail to meet the dehumidification standard, the target dehumidification unit will not leave from the slide outlet. Instead, it will continue to circulate along the dehumidification slide or remain in its current position, continuing to receive fixed-point dehumidification control in the next dehumidification sensing cycle until the humidity at all locations meets the dehumidification standard.

Images