A method and device for controlling preparation of a hydrophilic adsorbent material, a medium and a computer device
By combining sodium hydroxide and oxygen-enriched activation processes with machine vision sensing technology, we have achieved synergistic regulation of deep pore expansion and surface hydrophilicity of carbon-based adsorbent materials. This solves the problems of insufficient deep pore expansion or excessive burn-off in traditional methods, ensuring precise adsorption capacity for polar pollutants and consistent product quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HANGZHOU HUISHUI TECH CO LTD
- Filing Date
- 2026-04-01
- Publication Date
- 2026-07-10
AI Technical Summary
Existing carbon-based adsorbent materials suffer from insufficient deep pore-expansion capacity or excessive burn-off during preparation, and it is difficult to achieve precise targeted adsorption of polar pollutants. Traditional detection methods are highly subjective and have large errors, and cannot achieve dynamic synergistic control between gas-phase exothermic pore expansion and liquid-phase etching to create polarity.
By employing sodium hydroxide and oxygen-enriched activation processes, combined with machine vision sensing technology, the mesoporosity and sedimentation characteristics of modified activated carbon are monitored and collected in real time. By constructing a two-dimensional feature state vector, a gas-liquid synergistic control strategy is triggered to dynamically adjust parameters such as the ratio of sodium hydroxide and oxygen enrichment, and activation temperature, ensuring the development of pore structure and surface hydrophilicity.
It achieves precise targeted adsorption of new polar pollutants, solves the problem of balancing deep pore expansion and surface hydrophilicity, reduces the lag and subjective error of manual testing, and improves product quality consistency.
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Figure CN122369713A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a control method, apparatus, medium, and computer equipment for the preparation of hydrophilic adsorbent materials, belonging to the interdisciplinary technical field of next-generation information technology and energy-saving and environmentally friendly new material manufacturing, and is classified as G05B19 / 418. Background Technology
[0002] With the development of modern industry, new pollutants, represented by short-chain perfluorinated and polyfluoroalkyl substances, are frequently found in water bodies. These polar or highly water-soluble, recalcitrant organic compounds pose a significant challenge to traditional water treatment processes. Currently, targeted adsorption using carbon-based adsorbent materials is a recognized highly efficient method. To achieve precise targeted adsorption of these polar pollutants, the carbon-based materials must not only possess a highly developed mesoporous structure but also have extremely strong hydrophilicity on their surface.
[0003] Existing activated carbon activation and modification processes typically employ a single chemical reagent or gas to etch pores and modify the surface of the carbon matrix. However, in actual industrial production, existing control technologies have the following drawbacks: In traditional modification processes, while liquid-phase chemical impregnation and activation can effectively graft oxygen-containing functional groups onto the carbon surface, it suffers from high resistance to penetration and diffusion into the carbon framework, resulting in insufficient deep pore-expanding capacity. Conversely, activation with high-concentration oxidizing gases, while achieving rapid deep pore-expanding, is prone to excessive carbon framework burn-off due to the intense exothermic oxidation reaction, and it is difficult to precisely control the amount and distribution of surface polar groups. Existing technologies often rely on fixed production parameters for single-phase blind production, failing to dynamically coordinate gas-liquid processes based on the real-time state of the material in the furnace, leading to excessively high burn-off rates or substandard hydrophilic porosity.
[0004] Secondly, the industry often relies on manual observation for the detection of material porosity and the assessment of hydrophilicity, which is time-consuming, subjective, and prone to errors. Furthermore, the control is severely lagging, making it impossible for the system to correct production deviations in a timely manner.
[0005] Therefore, there is an urgent need in this field for a system and method for preparing hydrophilic adsorbent materials that can integrate machine vision perception technology and perform gas-liquid synergistic adaptive regulation based on multidimensional state characteristics. Summary of the Invention
[0006] In view of the shortcomings of the prior art, the purpose of this invention is to provide a control method, apparatus, medium and computer equipment for the preparation of hydrophilic adsorbent materials. According to an embodiment of the present invention, a first embodiment is provided as follows: a control method for preparing hydrophilic adsorbent materials, comprising the following steps: Step S1: controlling the activation equipment to treat the coke to be activated using sodium hydroxide and oxygen-enriched activation processes, monitoring the activation process through a monitoring device and obtaining modified activated carbon samples in segments according to a preset cycle; Step S2: collecting characteristic data of the modified activated carbon samples, the characteristic data including current mesoporosity characteristic data and sedimentation characteristic data, wherein the current mesoporosity characteristic data is determined by a pore detection device and is used to characterize the degree of pore structure development of the sample, and the sedimentation characteristic data is calculated by the water absorption rate and settling rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample; Step S3: Match the current mesoporosity characteristic data and the sedimentation characteristic data to construct a two-dimensional characteristic state vector. Perform bias analysis on the two-dimensional characteristic state vector with the preset hydrophilicity target state to define the current polarity conversion progress state. Step S4: When the current polarity conversion progress state does not reach the hydrophilicity target state, trigger the gas-liquid synergistic control strategy and generate corresponding synergistic control instructions based on the state deviation calculation. Step S5: Adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature, and reaction time in the activation device according to the feedback of the synergistic control instructions. The oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
[0007] Further, the step of collecting the current mesoporosity characteristic data in step S2 includes: Step S201: Pre-processing the segmented modified activated carbon samples to remove moisture and volatile impurities from the pores of the modified activated carbon samples; Step S202: Performing isothermal adsorption and desorption tests on the pre-processed modified activated carbon samples at multiple pressure points and obtaining the adsorption and desorption isotherm characteristic data of the modified activated carbon samples; Step S203: Calling a preset pore size distribution analytical model to perform analytical calculations on the adsorption and desorption isotherm characteristic data, and performing integral calculations to obtain the total pore volume of the modified activated carbon samples and the mesopore volume within the preset mesopore size range; Step S204: The percentage result of the ratio calculation of the mesopore volume and the total pore volume is the current mesoporosity characteristic data.
[0008] Further, the step of collecting sedimentation feature data in step S2 includes: Step S211: Placing the segmented modified activated carbon sample into a backlit, high-contrast, translucent water tank, and collecting a real-time dynamic image sequence of the modified activated carbon sample after entering a preset water environment; Step S212: Processing the real-time dynamic image sequence using a preset target segmentation and tracking algorithm, and extracting the surface reflectance change features and vertical displacement features of multiple coke particles in the modified activated carbon sample; Step S213: Deciphering the reciprocal of the time interval between the sudden change of the surface grayscale from the initial state to the preset wet grayscale value as the water absorption rate, and calculating the terminal descent speed of the coke particles in the water body based on the vertical displacement features as the sinking rate; Step S214: Inputting the water absorption rate and the sinking rate into a preset hydrophilic mapping function for proportional weighted calculation, and outputting the sedimentation feature data used to characterize the hydrophilicity bias, wherein the larger the water absorption rate and the higher the sinking rate, the stronger the hydrophilicity represented by the output sedimentation feature data.
[0009] Further, the step of defining the current activation progress state in step S3 includes: Step S301: Synchronously aligning the current mesoporosity characteristic data and the sedimentation characteristic data within the same sampling period on the time axis to construct a two-dimensional characteristic state vector; Step S302: Comparing and analyzing the two-dimensional characteristic state vector with the preset hydrophilicity target state, calculating and outputting the pore development deviation and the hydrophilic polarity deviation respectively; Step S303: Inputting the pore development deviation and the hydrophilic polarity deviation into the working condition determination unit, performing cross-classification through preset logical determination rules, and defining the current polarity conversion progress state as belonging to one of the following abnormal working conditions: pores not meeting the standard and polarity weak, pores meeting the standard but polarity weak, and polarity meeting the standard but pores not meeting the standard.
[0010] Further, the step of generating the collaborative control command in step S4 includes: Step S401: intercepting the definition result of the polarity conversion progress status in real time, and triggering the corresponding calculation channel according to the specific abnormal status type when it is determined that the hydrophilicity target status has not been reached; Step S402: when the trigger status is that the porosity meets the standard but the polarity is weak, calling the liquid phase-dominated calculation unit, with the goal of increasing the sodium hydroxide injection ratio by a preset step size and maintaining the current activation temperature, and calculating to generate the liquid phase-dominated control command; Step S403: when the trigger status is that the polarity meets the standard but the porosity does not meet the standard, calling the gas phase-dominated calculation unit, with the goal of locking the current sodium hydroxide injection amount and further increasing the oxygen enrichment ratio and activation temperature, and calculating to generate the gas phase-dominated control command; Step S404: when the trigger status is that the porosity does not meet the standard and the polarity is weak, calling the biphase enhancement calculation unit, and calculating to generate the biphase enhancement command for simultaneously increasing the sodium hydroxide injection ratio, oxygen enrichment ratio and activation temperature.
[0011] Further, the step of feedback adjustment according to the collaborative control command in step S5 includes: Step S501: Sending the generated collaborative control commands to the feedback adjustment module that is communicatively connected to the activation equipment; Step S502: Controlling the liquid phase injection pump and gas phase mixing valve in the feedback adjustment module to dynamically adjust the sodium hydroxide injection amount and oxygen enrichment amount according to the liquid phase dominant control command or the biphase enhancement command, and forcibly clamping the oxygen enrichment ratio in the adjusted gas to ≥30% through the underlying hardware constraint program, and forcibly introducing surface polarity by utilizing the gas-liquid synergistic reaction; Step S503: Controlling the furnace body temperature regulator in the feedback adjustment module to dynamically adjust the heating power and heat preservation residence time of the activation equipment according to the gas phase dominant control command or the biphase enhancement command; Step S504: Driving the closed-loop monitoring unit to continuously cycle through steps S1 to S5 until the latest collected feature data meets the hydrophilicity target state where the mesoporosity is greater than 40% and the sedimentation feature data reaches the preset high hydrophilicity sedimentation threshold.
[0012] Further, the specific steps in step S502 of adjusting the sodium hydroxide injection amount and the oxygen enrichment inlet amount, and ensuring that the oxygen enrichment ratio in the gas after forced clamping adjustment is ≥30%, include: Step S5021: Controlling the liquid phase injection pump and the gas phase mixing valve to execute gas-liquid decoupling collaborative logic, while issuing instructions to adjust the sodium hydroxide liquid phase injection ratio to supplement the oxygen-containing functional groups on the surface, simultaneously monitoring and maintaining the valve opening of the oxygen enrichment channel to meet the lower limit requirement of the oxygen enrichment ratio; Step S5022: Utilizing the exothermic oxidation reaction between the high proportion of oxygen enrichment after clamping and the carbon matrix to accelerate deep physical pore expansion, and coordinating with the sodium hydroxide to perform chemical etching and polar grafting on the surface of the expanded mesoporous structure, thereby maximizing the introduction of hydrophilic oxygen-containing functional groups while ensuring the development of mesoporous ratio, so that the product meets the requirement of hydrophilicity bias.
[0013] Furthermore, the preset hydrophilic target state also includes a final state parameter index, which specifically refers to the modified activated carbon obtained having an adsorption capacity of 85 mg / g for polar new pollutants; the polar new pollutants include short-chain perfluorinated and polyfluoroalkyl substances as well as pharmaceuticals.
[0014] Further, the specific implementation steps for extracting surface grayscale change features and vertical displacement features in step S212 include: Step S2121: When calling the target segmentation and tracking algorithm, a multi-scale edge detection model is used to segment the coke particle body in the real-time dynamic image sequence into an outer dynamic vaporization coating boundary and an inner rigid particle entity boundary; Step S2122: Based on the instantaneous pixel area change enclosed by the dynamic vaporization coating boundary, the instantaneous displaced water volume of the coke particle body during the sinking process is continuously calculated, and the volume generated due to high temperature sample entry is calculated. Additional buoyancy interference compensation coefficient caused by water vaporization; Step S2123: When extracting the vertical displacement features and calculating the sinking rate, the additional buoyancy interference compensation coefficient is used to perform kinematic positive compensation on the observed actual descent speed to filter out the deceleration error caused by the dynamic vaporization coating; Step S2124: When extracting the surface grayscale change features, a dynamic image mask is generated based on the rigid particle entity boundary to shield the high light reflection interference in the boundary region of the dynamic vaporization coating, and only the real surface grayscale change data inside the rigid particle entity boundary is calculated.
[0015] According to an embodiment of the present invention, utilizing the control method for preparing hydrophilic adsorbent materials in the first embodiment of the present invention, a second embodiment is provided as follows: A control device for preparing hydrophilic adsorbent materials, comprising: The sample acquisition module is used to control the activation equipment to process the coke to be activated using sodium hydroxide and oxygen-enriched activation processes. The activation process is monitored by the monitoring equipment and modified activated carbon samples are acquired in segments according to a preset cycle. The data acquisition module is used to collect characteristic data of the modified activated carbon sample. The characteristic data includes current mesoporosity characteristic data and sedimentation characteristic data. The current mesoporosity characteristic data is measured by a pore detection device and is used to characterize the degree of pore structure development of the sample. The sedimentation characteristic data is calculated by the water absorption rate and sinking rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample. The state definition module is used to match the current mesoporosity feature data and the sedimentation feature data with the feature state and construct a two-dimensional feature state vector. The two-dimensional feature state vector is then compared with the preset hydrophilicity target state to define the current polarity conversion progress state. The instruction calculation module is used to trigger the gas-liquid synergistic control strategy and generate corresponding synergistic control instructions based on the state deviation calculation when the current polarity conversion progress state has not reached the hydrophilicity target state. The feedback adjustment module is used to adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time in the activation device according to the collaborative control command. The oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
[0016] A computer device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the following steps: The activation equipment uses sodium hydroxide and oxygen-enriched activation processes to treat the coke to be activated. The activation process is monitored by a monitoring device, and modified activated carbon samples are acquired in segments according to a preset cycle. Characteristic data of the modified activated carbon samples are collected, including current mesoporosity and sedimentation characteristics. The current mesoporosity is measured by a pore detection device to characterize the degree of pore structure development of the sample. The sedimentation characteristics are calculated based on the water absorption rate and settling rate of the sample in a preset aquatic environment to characterize the sample's hydrophilicity bias. The current mesoporosity and sedimentation characteristics are then compared... The data undergoes feature state matching to construct a two-dimensional feature state vector. This vector is then compared with a preset hydrophilicity target state using bias analysis to define the current polarity conversion progress state. When the current polarity conversion progress state fails to reach the hydrophilicity target state, a gas-liquid coordinated control strategy is triggered, and a corresponding coordinated control command is generated based on the state deviation calculation. The sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature, and reaction time within the activation device are adjusted according to the coordinated control command. The oxygen enrichment ratio in the adjusted gas is constrained to ≥30%, until the feature data meets the hydrophilicity target state.
[0017] A computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the following steps: The activation equipment uses sodium hydroxide and oxygen-enriched activation processes to treat the coke to be activated. The activation process is monitored by a monitoring device, and modified activated carbon samples are acquired in segments according to a preset cycle. Characteristic data of the modified activated carbon samples are collected, including current mesoporosity and sedimentation characteristics. The current mesoporosity is measured by a pore detection device to characterize the degree of pore structure development of the sample. The sedimentation characteristics are calculated based on the water absorption rate and settling rate of the sample in a preset aquatic environment to characterize the sample's hydrophilicity bias. The current mesoporosity and sedimentation characteristics are then compared... The data undergoes feature state matching to construct a two-dimensional feature state vector. This vector is then compared with a preset hydrophilicity target state using bias analysis to define the current polarity conversion progress state. When the current polarity conversion progress state fails to reach the hydrophilicity target state, a gas-liquid coordinated control strategy is triggered, and a corresponding coordinated control command is generated based on the state deviation calculation. The sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature, and reaction time within the activation device are adjusted according to the coordinated control command. The oxygen enrichment ratio in the adjusted gas is constrained to ≥30%, until the feature data meets the hydrophilicity target state.
[0018] Compared with the prior art, the unique advantages of the technical solution provided in this application are as follows: This invention, by real-time acquisition and matching of pore structure development and hydrophilicity bias, enables the system to accurately define the actual operating conditions of polarity conversion progress and calculate gas-liquid synergistic feedback commands based on multi-dimensional state deviation. The feedback regulation execution mechanism incorporates a low-level hardware logic constraint of ≥30% oxygen enrichment in the regulated gas, resolving the contradiction between deep pore expansion and polarity orientation in traditional single-process methods. This mechanism utilizes the exothermic oxidation reaction of a high-proportion oxygen-enriched gas to accelerate deep physical pore expansion and allows sodium hydroxide to chemically etch and polarly graft onto the expanded pore surface. This maximizes the introduction of surface hydrophilic oxygen-containing functional groups while effectively expanding the mesopore structure, ensuring that the prepared modified material possesses precise targeted adsorption capabilities for new polar pollutants. Attached Figure Description
[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0020] in: Figure 1 This is one of the flowcharts for a control method of preparing a hydrophilic adsorbent material in one embodiment; Figure 2 This is a second flowchart of a control method for preparing a hydrophilic adsorbent material in one embodiment; Figure 3 This is the third flowchart of a control method for preparing a hydrophilic adsorbent material in one embodiment; Figure 4 This is a structural block diagram of a control device prepared from a hydrophilic adsorbent material in one embodiment; Figure 5 This is a structural block diagram of a computer device in one embodiment. Detailed Implementation
[0021] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0022] Example 1 Existing activated carbon activation and modification processes typically employ a single chemical reagent or gas to etch and modify the carbon matrix for pore formation and surface modification. However, in actual industrial production, existing control technologies suffer from the following drawbacks: In traditional modification processes, while liquid-phase chemical reagent impregnation activation can effectively graft oxygen-containing functional groups onto the carbon surface, its penetration and diffusion resistance into the carbon skeleton is high, resulting in insufficient deep pore-expanding capacity. Conversely, while high-concentration oxidizing gas activation offers rapid deep pore-expanding, the intense exothermic oxidation reaction easily leads to excessive carbon skeleton burn-off, and it is difficult to control the amount and distribution of surface polar groups. Existing technologies largely rely on fixed production parameters for single-phase blind production, failing to dynamically coordinate gas-liquid processes based on the real-time state of the material in the furnace, which can easily lead to excessively high burn-off rates or substandard hydrophilic porosity.
[0023] See Figure 1 , Figure 2 and Figure 3 As shown, this embodiment provides a method for controlling the preparation of hydrophilic adsorbent materials, including the following steps: Step S1: Control the activation equipment to process the coke to be activated using sodium hydroxide and oxygen-enriched activation processes. Monitor the activation process using monitoring equipment and obtain modified activated carbon samples in segments according to a preset cycle. In step S1, sodium hydroxide and oxygen enrichment are introduced simultaneously into the activation equipment for a combined activation process, avoiding the limitations of single gas-phase or single liquid-phase activation. The synergistic reaction of the gas-liquid two-phase medium at high temperature is utilized to treat the coke to be activated. Simultaneously, samples are acquired in segments according to a preset cycle using monitoring equipment for dynamic monitoring.
[0024] Step S2: Collect characteristic data of the modified activated carbon sample. The characteristic data includes current mesoporosity characteristic data and sedimentation characteristic data. The current mesoporosity characteristic data is measured by a pore detection device and is used to characterize the degree of pore structure development of the sample. The sedimentation characteristic data is calculated by the water absorption rate and sinking rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample. In step S2, the current mesoporosity characteristic data reflects the degree of openness of the internal physical space of the modified activated carbon, that is, the degree of pore structure development; the sedimentation characteristic data, through the two physical phenomena of the sample's water absorption rate and sinking rate in the water body, objectively and quickly reflects the surface's hydrophilicity bias.
[0025] Step S3: Match the current mesoporosity feature data and the sedimentation feature data with the feature state and construct a two-dimensional feature state vector. Perform bias analysis on the two-dimensional feature state vector and the preset hydrophilicity target state to define the current polarity conversion progress state. In step S3, the dispersed physical porosity and chemical hydrophilicity indices are fused to construct a two-dimensional feature state vector. By performing bias analysis between the multidimensional state vector and the hydrophilic target state, the current polarity conversion progress can be quantified.
[0026] Step S4: When the current polarity conversion progress state has not reached the hydrophilicity target state, the gas-liquid synergistic control strategy is triggered and the corresponding synergistic control command is generated based on the state deviation calculation. In step S4, when the system determines that the current state does not meet the standard, it no longer relies on manual experience for adjustment, but triggers the gas-liquid control strategy to calculate and generate targeted collaborative control commands based on the deviation direction of the two-dimensional state.
[0027] Step S5: Adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time in the activation device according to the feedback of the collaborative control command, wherein the oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
[0028] In step S5, multiple parameters in the activation equipment are dynamically and closed-loop adjusted according to the calculation instructions, such as sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time. The oxygen enrichment ratio in the adjusted gas is constrained to ≥30%. The exothermic oxidation reaction between the high proportion of oxygen enrichment and the carbon matrix is used to accelerate the deep physical pore expansion. At the same time, sodium hydroxide is used to chemically etch and polar graft on the surface of the expanded mesopore structure.
[0029] It should be noted that by real-time acquisition and matching of pore structure development degree and hydrophilicity bias, the system can define the actual working condition of polarity conversion progress and calculate gas-liquid synergistic feedback commands in real time based on multi-dimensional state deviations, thus solving the lag and subjective errors caused by manual detection. In the feedback regulation execution mechanism, the oxygen enrichment ratio in the regulated gas is ≥30%, utilizing the exothermic oxidation reaction of high-proportion oxygen-rich gas to accelerate deep physical pore expansion. Based on the oxygen-enriched accelerated physical pore expansion, sodium hydroxide undergoes chemical etching and polar grafting on the expanded pore surface. Under the premise of effectively expanding the mesopore structure, hydrophilic oxygen-containing functional groups are introduced to the surface. Through the above-mentioned dynamic gas-liquid coordination and regulation, the prepared modified material is ultimately ensured to have precise targeted adsorption capability for polar new pollutants (such as short-chain perfluorinated and polyfluoroalkyl substances).
[0030] Example 2 This embodiment provides a further technical solution based on Embodiment 1.
[0031] In this embodiment, the step of collecting current mesoporosity characteristic data in step S2 includes: Step S201: Pre-treat the segmented modified activated carbon samples to remove moisture and volatile impurities from the pores of the modified activated carbon samples. In step S201, based on the principle of desorption and impurity removal, the moisture and volatile impurities that are pre-existing in the physical pores inside the modified activated carbon are emptied by pretreatment methods such as heating or vacuuming, and the containment space of the carbon matrix is cleared, so as to provide an interference-free surface for the complete entry of subsequent detection gases.
[0032] Step S202: The pretreated modified activated carbon sample is subjected to isothermal adsorption and desorption tests at multiple pressure points, and the adsorption and desorption isotherm characteristic data of the modified activated carbon sample are obtained. In step S202, by applying a multi-pressure gradient, the probe gas molecules undergo monolayer adsorption, multilayer adsorption, and capillary condensation within the pores of the modified activated carbon. By recording the amount of gas adsorption and desorption under different pressures, the adsorption and desorption isotherm characteristics of the pore structure are reflected.
[0033] Step S203: Call the preset pore size distribution analytical model to analyze and calculate the adsorption and desorption isotherm characteristic data, and perform integral calculations to obtain the total pore volume of the modified activated carbon sample and the mesopore volume within the preset mesopore size range. In step S203, a preset pore size distribution analytical model is invoked to solve the nonlinear adsorption and desorption isotherm characteristic data in reverse, and the continuous distribution curve is integrated to separate and quantify the total pore volume of the sample and the mesopore volume within the preset mesopore size range.
[0034] Step S204: The percentage result of the ratio calculation between the mesopore volume and the total pore volume is the current mesopore ratio characteristic data.
[0035] In step S204, the complex absolute volume value is converted into a relative proportional characteristic constant to quantify the relative abundance of the mesoporous structure in the overall pores, i.e., the current mesoporous ratio characteristic data.
[0036] It should be noted that the pretreatment process effectively eliminates detection errors caused by moisture and volatile impurities occupying the pores, ensuring that gas molecules can truly explore the material's limiting pore size during subsequent multi-pressure point testing, thus guaranteeing data reliability. Through multi-pressure point isothermal adsorption and desorption tests, the complete physical behavior of pore filling and emptying within the material can be captured, obtaining high-resolution adsorption and desorption isotherm characteristic data, avoiding structural blind spots caused by single-point measurements. For the large molecular dynamics diameter of polar new pollutants, micropores often cannot perform adsorption due to steric hindrance. Through pore size distribution analytical models and integral calculations, the mesopore volume that can truly accommodate new pollutants was extracted.
[0037] In this embodiment, the step of collecting settlement characteristic data in step S2 includes: Step S211: Place the segmented modified activated carbon samples into a backlit, high-contrast, transparent water tank and collect a real-time dynamic image sequence of the modified activated carbon samples after they enter the preset water environment. Step S212: Call the preset target segmentation and tracking algorithm to process the real-time dynamic image sequence, and extract the surface reflectance change features and vertical displacement features of multiple coke particles in the modified activated carbon sample; Step S213: The reciprocal of the time interval between the sudden change of the surface grayscale from the initial state to the preset wet grayscale value is analyzed as the water absorption rate, and the terminal descent speed of the coke particle body in the water body is calculated based on the vertical displacement characteristics as the sinking rate. Step S214: Input the water absorption rate and the sinking rate into a preset hydrophilicity mapping function for proportional weighted calculation, and output the sedimentation characteristic data used to characterize the hydrophilicity bias. The higher the water absorption rate and the higher the sinking rate, the stronger the hydrophilicity represented by the output sedimentation characteristic data.
[0038] It should be noted that by utilizing a translucent water tank and capturing dynamic image sequences, the complex chemical polarity assessment is transformed into an intuitive visual analysis, significantly shortening the detection cycle and eliminating human error. Single indicators are easily affected by the randomness of individual sample shapes or densities. This embodiment simultaneously extracts surface reflectance change features (characterizing instantaneous surface hydrophilic wetting) and vertical displacement features (characterizing the increase in specific gravity due to water absorption in deep pores). Cross-validation is achieved through a weighted calculation of these two features, enabling the final sedimentation characteristic data to more comprehensively reflect the overall hydrophilicity bias of the material. By using high-contrast backlighting combined with a preset target segmentation and tracking algorithm, visual interference from impurities, bubbles, or changes in lighting can be stably shielded in dynamic aquatic environments, ensuring the accuracy of tracking multiple coke particles and the continuity of the data stream.
[0039] In this embodiment, the step of defining the current activation progress state in step S3 includes: Step S301: Synchronously align the current mesoporosity feature data and the sedimentation feature data within the same sampling period on the time axis to construct a two-dimensional feature state vector; Step S302: Compare and analyze the two-dimensional feature state vector with the preset hydrophilic target state, and calculate and output the pore development deviation and hydrophilic polarity deviation respectively; Step S303: Input the pore development deviation and the hydrophilic polarity deviation into the working condition determination unit, and perform cross-classification through preset logic determination rules to determine that the current polarity conversion progress status belongs to one of the following abnormal working conditions: pores not meeting the standard and polarity is weak, pores meeting the standard but polarity is weak, and polarity meeting the standard but pores not meeting the standard.
[0040] It should be noted that by strictly synchronizing and aligning the current mesoporosity and sedimentation characteristic data within the same sampling period on the time axis, the temporal misalignment of multi-dimensional detection data is effectively eliminated. This ensures that the physical pore state and chemical polarity state evaluated by the system always correspond to the same carbon matrix at the same time and in the same batch, preventing control system oscillations or misjudgments caused by asynchronous data.
[0041] In this embodiment, the step of generating cooperative control instructions in step S4 includes: Step S401: Intercept the determination result of the polarity conversion progress status in real time, and when it is determined that the hydrophilicity target status has not been reached, trigger the corresponding solution channel according to the specific abnormal status type; Step S402: When the trigger state is that the pore size meets the standard but the polarity is weak, the liquid phase dominant calculation unit is called to calculate and generate liquid phase dominant control instructions with the goal of increasing the sodium hydroxide injection ratio by a preset step size and maintaining the current activation temperature. Step S403: When the trigger state is the state where the polarity meets the standard but the porosity does not meet the standard, the gas phase dominant calculation unit is called to calculate and generate gas phase dominant control commands with the goal of locking the current sodium hydroxide injection amount and further improving the oxygen enrichment ratio and activation temperature. Step S404: When the trigger state is that the pore size is not up to standard and the polarity is weak, the biphase strengthening calculation unit is invoked to calculate and generate biphase strengthening instructions for simultaneously increasing the sodium hydroxide injection ratio, oxygen enrichment ratio and activation temperature.
[0042] It should be noted that the system intercepts the polarity conversion progress status of the upstream output in real time. Once it detects that the target has not been met, the system will no longer take unified adjustments. Instead, it will automatically trigger the corresponding independent calculation channel based on the specific abnormal state type as the trigger condition. When the system determines that the physical containment space of the carbon matrix has been fully opened, but the surface chemical active sites are insufficient, the system calls the liquid-phase dominant calculation unit. When the surface polarity has been established, but the internal physical microspace still does not meet the requirements, the gas-phase dominant calculation unit is called. When the trigger state is that the porosity is not up to standard and the polarity is weak, the two-phase enhanced calculation unit is called.
[0043] In this embodiment, step S5, which involves adjusting based on feedback from the coordinated control command, includes: Step S501: Send the generated collaborative control commands to the feedback adjustment module that is communicatively connected to the activation device; Step S502: Control the liquid phase injection pump and gas phase mixing valve in the feedback adjustment module to dynamically adjust the sodium hydroxide injection amount and oxygen enrichment amount according to the liquid phase dominant control command or the two-phase enhancement command, and force the oxygen enrichment ratio in the gas after clamping adjustment to be ≥30% through the underlying hardware constraint program, and forcibly introduce surface polarity by gas-liquid synergistic reaction. Step S503: Control the furnace body temperature regulator in the feedback adjustment module to dynamically adjust the heating power and heat preservation residence time of the activation equipment according to the gas phase dominant control command or the two-phase enhancement command; Step S504: Drive the closed-loop monitoring unit to continuously execute steps S1 to S5 in a loop until the latest collected feature data meets the hydrophilicity target state where the mesoporosity is greater than 40% and the sedimentation feature data reaches the preset high hydrophilicity sedimentation threshold.
[0044] It should be noted that the furnace temperature regulator within the control feedback adjustment module dynamically adjusts the heating power and holding time of the activation equipment according to gas-phase dominant or biphase enhanced commands, constructing a continuous correction and iteration process. The exothermic oxidation reaction of a high-proportion oxygen-rich gas accelerates deep physical pore expansion, and sodium hydroxide chemically etches and polarly grafts onto the expanded pore surface. The control and feedback mechanism of this embodiment avoids the collapse or excessive burn-off of the carbon framework caused by blindly applying single-phase reagents, and can effectively expand the mesoporous structure while increasing the introduction of hydrophilic oxygen-containing functional groups on the surface.
[0045] In this embodiment, the specific steps in step S502, which involve adjusting the sodium hydroxide injection rate and the oxygen enrichment rate, and ensuring that the oxygen enrichment ratio in the gas after forced clamping adjustment is ≥30%, include: Step S5021: Control the liquid phase injection pump and the gas phase mixing valve to execute the gas-liquid decoupling cooperative logic. While issuing instructions to adjust the sodium hydroxide liquid phase injection ratio to replenish the oxygen-containing functional groups on the surface, simultaneously monitor and maintain the valve opening of the oxygen-enriched channel to meet the lower limit requirement of the oxygen-enriched ratio. Step S5022: The exothermic oxidation reaction between the oxygen-rich material and the carbon matrix after clamping is accelerated to expand the deep physical pores. The sodium hydroxide is used in conjunction to chemically etch and polarly graft on the surface of the expanded mesoporous structure, thereby maximizing the introduction of hydrophilic oxygen-containing functional groups while ensuring the development of mesoporous ratio, so that the product meets the requirements of the hydrophilicity bias.
[0046] It should be noted that while issuing instructions to adjust the sodium hydroxide liquid phase injection ratio to replenish oxygen-containing functional groups on the surface, the valve opening of the oxygen-enriched channel is simultaneously monitored and maintained to meet the lower limit requirement of the oxygen-enriched ratio. The high proportion of oxygen after clamping and the exothermic oxidation reaction between the oxygen-enriched material and the carbon matrix accelerate deep physical pore expansion. Because gaseous molecules possess extremely strong pore penetration and diffusion capabilities, the localized high concentration of oxygen reacts violently with the carbon framework, releasing heat. This not only rapidly opens the mesopore channels inward, but the resulting localized high temperature also lowers the activation energy of subsequent chemical reactions.
[0047] Specifically, this embodiment utilizes the exothermic oxidation reaction of a high-proportion oxygen-rich gas to accelerate deep physical pore expansion, and enables sodium hydroxide to chemically etch and polarly graft onto the expanded pore surface. This enhances the introduction of hydrophilic oxygen-containing functional groups while ensuring mesoporosity development, thus meeting the requirements for hydrophilicity. It resolves the contradiction between deep pore expansion and polar orientation in traditional single-process methods, and avoids the risk of excessive carbon skeleton burn-off caused by blind activation with traditional high-concentration oxidizing gases.
[0048] Example 3 This embodiment provides a further technical solution based on Embodiment 1 or Embodiment 2.
[0049] In this embodiment, the preset hydrophilicity target state further includes a final state parameter index, which specifically includes: The modified activated carbon prepared has an adsorption capacity of 85 mg / g for polar new pollutants, including short-chain perfluorinated and polyfluoroalkyl substances as well as pharmaceuticals.
[0050] It should be noted that achieving precise targeted adsorption of polar pollutants requires not only a highly developed mesoporous structure in the carbon-based material, but also extremely strong hydrophilicity on its surface to achieve an adsorption capacity of up to 85 mg / g for polar pollutants.
[0051] In this embodiment, the specific implementation steps for extracting surface grayscale change features and vertical displacement features in step S212 include: Step S2121: When calling the target segmentation and tracking algorithm, a multi-scale edge detection model is used to segment the main body of coke particles in the real-time dynamic image sequence into the outer dynamic vaporization coating boundary and the inner rigid particle entity boundary. In step S2121, when invoking the target segmentation and tracking algorithm, a multi-scale edge detection model is used to segment the main body of coke particles in the real-time dynamic image sequence into two independent contours: the outer dynamic vaporization coating boundary and the inner rigid particle entity boundary. When the modified activated carbon sample at high temperature is first immersed in water, the intense heat exchange on the surface causes the water to vaporize instantly, forming a layer of steam bubbles surrounding the particles. Through multi-scale recognition, the false contour of this gas-liquid interface is successfully separated from the real solid entity contour.
[0052] Step S2122: Based on the instantaneous pixel area change enclosed by the boundary of the dynamic vaporization film, continuously calculate the instantaneous water volume displaced by the coke particle body during the sinking process, and calculate and generate the additional buoyancy interference compensation coefficient caused by the vaporization of the high-temperature sample entering the water. In step S2122, based on the instantaneous pixel area change enclosed by the boundary of the dynamic vaporization membrane, the instantaneous water volume displaced by the coke particle body during the sinking process is continuously calculated. The volume expansion of the outer vapor membrane will displace more water, thereby generating additional upward buoyancy. Through the integral derivation from area to volume, the additional buoyancy interference compensation coefficient caused by the vaporization of the high-temperature sample entering the water is calculated and generated.
[0053] Step S2123: When extracting the vertical displacement features and calculating the sinking rate, the observed actual descent speed is kinematically compensated using the additional buoyancy interference compensation coefficient to filter out the deceleration error caused by the dynamic vaporization membrane. In step S2123, when extracting vertical displacement features and calculating the sinking rate, the kinematic positive compensation of the observed actual descent speed is performed using the additional buoyancy interference compensation coefficient generated above, thereby filtering out the deceleration error caused by the dynamic vaporization coating.
[0054] Step S2124: When extracting the surface grayscale change features, a dynamic image mask is generated based on the rigid particle entity boundary to shield the high light reflection interference of the dynamic vaporization coating boundary region, and only the real surface grayscale change data inside the rigid particle entity boundary is calculated.
[0055] In step S2124, when extracting surface grayscale change features, a dynamic image mask is generated based on the rigid particle entity boundary of the inner layer. This mask can spatially shield the high-light reflection interference generated by the boundary region of the dynamic vaporization coating, thereby calculating only the true surface grayscale abrupt change data inside the rigid particle entity boundary. This ensures that the measured grayscale change originates from the change in optical refractive index caused by water molecules penetrating into the carbon skeleton.
[0056] It should be noted that by using algorithm-level double-boundary segmentation, the thermodynamically generated vapor phase and the actual solid carbon phase are decoupled visually and physically. This allows the detection system to be directly used for real-time observation of high-temperature online samples, eliminating the lengthy sample cooling time. Through kinematic positive compensation, this artifact error is filtered out, restoring the true settling rate of the particles and greatly improving the accuracy of sedimentation characteristic data in representing hydrophilicity.
[0057] Example 4 See Figure 4 As shown, this embodiment provides a control device for the preparation of hydrophilic adsorbent materials, used to apply the control method for the preparation of hydrophilic adsorbent materials in the above embodiment. The device includes: The sample acquisition module 100 is used to control the activation equipment to process the coke to be activated using sodium hydroxide and oxygen-enriched activation processes, and to monitor the activation process through monitoring equipment and acquire modified activated carbon samples in segments according to a preset cycle. The data acquisition module 200 is used to acquire characteristic data of the modified activated carbon sample. The characteristic data includes current mesoporosity characteristic data and sedimentation characteristic data. The current mesoporosity characteristic data is measured by a pore detection device and is used to characterize the degree of pore structure development of the sample. The sedimentation characteristic data is calculated by the water absorption rate and sinking rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample. The state definition module 300 is used to match the current mesoporosity characteristic data and the sedimentation characteristic data with the characteristic state and construct a two-dimensional characteristic state vector, and to perform bias analysis on the two-dimensional characteristic state vector with the preset hydrophilicity target state to define the current polarity conversion progress state. The instruction calculation module 400 is used to trigger the gas-liquid synergistic control strategy and generate corresponding synergistic control instructions based on the state deviation calculation when the current polarity conversion progress state has not reached the hydrophilicity target state. The feedback adjustment module 500 is used to adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time in the activation device according to the collaborative control command. The oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
[0058] This embodiment, by real-time acquisition and matching of pore structure development degree and hydrophilicity bias, enables the system to define the actual operating conditions of polarity conversion progress and calculate gas-liquid synergistic feedback commands based on multi-dimensional state deviation. A low-level hardware logic constraint of ≥30% oxygen enrichment ratio in the regulated gas is introduced into the feedback regulation execution mechanism, resolving the contradiction between deep pore expansion and polarity orientation in traditional single processes. This mechanism utilizes the exothermic oxidation reaction of a high-proportion oxygen-enriched gas to accelerate deep physical pore expansion and precisely coordinates sodium hydroxide to chemically etch and polarly graft onto the expanded pore surface. This effectively expands the mesopore structure while enhancing the introduced surface hydrophilic oxygen-containing functional groups, ensuring that the prepared modified material possesses precise targeted adsorption capability for new polar pollutants.
[0059] Figure 5 An internal structural diagram of a computer device in one embodiment is shown. This computer device can specifically be a terminal or a server. Figure 5 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and may also store a computer program. When executed by the processor, this computer program enables the processor to implement a control method for preparing hydrophilic adsorbent materials. The memory may also store a computer program, which, when executed by the processor, enables the processor to implement the control method for preparing hydrophilic adsorbent materials. Those skilled in the art will understand that... Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0060] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the following steps: Step S1: Control the activation equipment to process the coke to be activated using sodium hydroxide and oxygen-enriched activation processes. Monitor the activation process using monitoring equipment and obtain modified activated carbon samples in segments according to a preset cycle. Step S2: Collect characteristic data of the modified activated carbon sample. The characteristic data includes current mesoporosity characteristic data and sedimentation characteristic data. The current mesoporosity characteristic data is measured by a pore detection device and is used to characterize the degree of pore structure development of the sample. The sedimentation characteristic data is calculated by the water absorption rate and sinking rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample. Step S3: Match the current mesoporosity feature data and the sedimentation feature data with the feature state and construct a two-dimensional feature state vector. Perform bias analysis on the two-dimensional feature state vector and the preset hydrophilicity target state to define the current polarity conversion progress state. Step S4: When the current polarity conversion progress state has not reached the hydrophilicity target state, the gas-liquid synergistic control strategy is triggered and the corresponding synergistic control command is generated based on the state deviation calculation. Step S5: Adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time in the activation device according to the feedback of the collaborative control command, wherein the oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
[0061] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, causes the processor to perform the following steps: Step S1: Control the activation equipment to process the coke to be activated using sodium hydroxide and oxygen-enriched activation processes. Monitor the activation process using monitoring equipment and obtain modified activated carbon samples in segments according to a preset cycle. Step S2: Collect characteristic data of the modified activated carbon sample. The characteristic data includes current mesoporosity characteristic data and sedimentation characteristic data. The current mesoporosity characteristic data is measured by a pore detection device and is used to characterize the degree of pore structure development of the sample. The sedimentation characteristic data is calculated by the water absorption rate and sinking rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample. Step S3: Match the current mesoporosity feature data and the sedimentation feature data with the feature state and construct a two-dimensional feature state vector. Perform bias analysis on the two-dimensional feature state vector and the preset hydrophilicity target state to define the current polarity conversion progress state. Step S4: When the current polarity conversion progress state has not reached the hydrophilicity target state, the gas-liquid synergistic control strategy is triggered and the corresponding synergistic control command is generated based on the state deviation calculation. Step S5: Adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time in the activation device according to the feedback of the collaborative control command, wherein the oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
[0062] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.
[0063] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0064] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for controlling the preparation of a hydrophilic adsorbent material, characterized in that, Includes the following steps: Step S1: Control the activation equipment to process the coke to be activated using sodium hydroxide and oxygen-enriched activation processes. Monitor the activation process using monitoring equipment and obtain modified activated carbon samples in segments according to a preset cycle. Step S2: Collect characteristic data of the modified activated carbon sample. The characteristic data includes current mesoporosity characteristic data and sedimentation characteristic data. The current mesoporosity characteristic data is measured by a pore detection device and is used to characterize the degree of pore structure development of the sample. The sedimentation characteristic data is calculated by the water absorption rate and sinking rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample. Step S3: Match the current mesoporosity feature data and the sedimentation feature data with the feature state and construct a two-dimensional feature state vector. Perform bias analysis on the two-dimensional feature state vector and the preset hydrophilicity target state to define the current polarity conversion progress state. Step S4: When the current polarity conversion progress state has not reached the hydrophilicity target state, the gas-liquid synergistic control strategy is triggered and the corresponding synergistic control command is generated based on the state deviation calculation. Step S5: Adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time in the activation device according to the feedback of the collaborative control command, wherein the oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
2. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 1, characterized in that, The step of collecting the current mesoporosity characteristic data in step S2 includes: Step S201: Pre-treat the segmented modified activated carbon samples to remove moisture and volatile impurities from the pores of the modified activated carbon samples. Step S202: The pretreated modified activated carbon sample is subjected to isothermal adsorption and desorption tests at multiple pressure points, and the adsorption and desorption isotherm characteristic data of the modified activated carbon sample are obtained. Step S203: Call the preset pore size distribution analytical model to analyze and calculate the adsorption and desorption isotherm characteristic data, and perform integral calculations to obtain the total pore volume of the modified activated carbon sample and the mesopore volume within the preset mesopore size range. Step S204: The percentage result of the ratio calculation between the mesopore volume and the total pore volume is the current mesopore ratio characteristic data.
3. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 1, characterized in that, The step of collecting settlement characteristic data in step S2 includes: Step S211: Place the segmented modified activated carbon samples into a backlit, high-contrast, transparent water tank and collect a real-time dynamic image sequence of the modified activated carbon samples after they enter the preset water environment. Step S212: Call the preset target segmentation and tracking algorithm to process the real-time dynamic image sequence, and extract the surface reflectance change features and vertical displacement features of multiple coke particles in the modified activated carbon sample; Step S213: The reciprocal of the time interval between the sudden change of the surface grayscale from the initial state to the preset wet grayscale value is analyzed as the water absorption rate, and the terminal descent speed of the coke particle body in the water body is calculated based on the vertical displacement characteristics as the sinking rate. Step S214: Input the water absorption rate and the sinking rate into a preset hydrophilicity mapping function for proportional weighted calculation, and output the sedimentation characteristic data used to characterize the hydrophilicity bias. The higher the water absorption rate and the higher the sinking rate, the stronger the hydrophilicity represented by the output sedimentation characteristic data.
4. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 1, characterized in that, The step S3, which defines the current activation progress status, includes: Step S301: Synchronously align the current mesoporosity feature data and the sedimentation feature data within the same sampling period on the time axis to construct a two-dimensional feature state vector; Step S302: Compare and analyze the two-dimensional feature state vector with the preset hydrophilic target state, and calculate and output the pore development deviation and hydrophilic polarity deviation respectively; Step S303: Input the pore development deviation and the hydrophilic polarity deviation into the working condition determination unit, and perform cross-classification through preset logic determination rules to determine that the current polarity conversion progress status belongs to one of the following abnormal working conditions: pores not meeting the standard and polarity is weak, pores meeting the standard but polarity is weak, and polarity meeting the standard but pores not meeting the standard.
5. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 4, characterized in that, The step of generating cooperative control instructions in step S4 includes: Step S401: Intercept the determination result of the polarity conversion progress status in real time, and when it is determined that the hydrophilicity target status has not been reached, trigger the corresponding solution channel according to the specific abnormal status type; Step S402: When the trigger state is that the pore size meets the standard but the polarity is weak, the liquid phase dominant calculation unit is called to calculate and generate liquid phase dominant control instructions with the goal of increasing the sodium hydroxide injection ratio by a preset step size and maintaining the current activation temperature. Step S403: When the trigger state is the state where the polarity meets the standard but the porosity does not meet the standard, the gas phase dominant calculation unit is called to calculate and generate gas phase dominant control commands with the goal of locking the current sodium hydroxide injection amount and further improving the oxygen enrichment ratio and activation temperature. Step S404: When the trigger state is that the pore size is not up to standard and the polarity is weak, the biphase strengthening calculation unit is invoked to calculate and generate biphase strengthening instructions for simultaneously increasing the sodium hydroxide injection ratio, oxygen enrichment ratio and activation temperature.
6. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 5, characterized in that, The step S5, which involves adjusting based on feedback from the coordinated control command, includes: Step S501: Send the generated collaborative control commands to the feedback adjustment module that is communicatively connected to the activation device; Step S502: Control the liquid phase injection pump and gas phase mixing valve in the feedback adjustment module to dynamically adjust the sodium hydroxide injection amount and oxygen enrichment amount according to the liquid phase dominant control command or the two-phase enhancement command, and force the oxygen enrichment ratio in the gas after clamping adjustment to be ≥30% through the underlying hardware constraint program, and forcibly introduce surface polarity by gas-liquid synergistic reaction. Step S503: Control the furnace body temperature regulator in the feedback adjustment module to dynamically adjust the heating power and heat preservation residence time of the activation equipment according to the gas phase dominant control command or the two-phase enhancement command; Step S504: Drive the closed-loop monitoring unit to continuously execute steps S1 to S5 in a loop until the latest collected feature data meets the hydrophilicity target state where the mesoporosity is greater than 40% and the sedimentation feature data reaches the preset high hydrophilicity sedimentation threshold.
7. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 6, characterized in that, The specific steps in step S502, which involve adjusting the sodium hydroxide injection rate and the oxygen enrichment rate, and ensuring that the oxygen enrichment ratio in the gas after forced clamping adjustment is ≥30%, include: Step S5021: Control the liquid phase injection pump and the gas phase mixing valve to execute the gas-liquid decoupling cooperative logic. While issuing instructions to adjust the sodium hydroxide liquid phase injection ratio to replenish the oxygen-containing functional groups on the surface, simultaneously monitor and maintain the valve opening of the oxygen-enriched channel to meet the lower limit requirement of the oxygen-enriched ratio. Step S5022: The exothermic oxidation reaction between the oxygen-rich material and the carbon matrix after clamping is accelerated to expand the deep physical pores. The sodium hydroxide is used in conjunction to chemically etch and polarly graft on the surface of the expanded mesoporous structure, thereby maximizing the introduction of hydrophilic oxygen-containing functional groups while ensuring the development of mesoporous ratio, so that the product meets the requirements of the hydrophilicity bias.
8. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 1, characterized in that, The preset hydrophilicity target state also includes a final state parameter index, which specifically includes: The modified activated carbon prepared has an adsorption capacity of 85 mg / g for polar new pollutants, including short-chain perfluorinated and polyfluoroalkyl substances as well as pharmaceuticals.
9. The method for controlling the preparation of hydrophilic adsorbent materials according to claim 3, characterized in that, The specific implementation steps for extracting surface grayscale change features and vertical displacement features in step S212 include: Step S2121: When calling the target segmentation and tracking algorithm, a multi-scale edge detection model is used to segment the main body of coke particles in the real-time dynamic image sequence into the outer dynamic vaporization coating boundary and the inner rigid particle entity boundary. Step S2122: Based on the instantaneous pixel area change enclosed by the boundary of the dynamic vaporization film, continuously calculate the instantaneous water volume displaced by the coke particle body during the sinking process, and calculate and generate the additional buoyancy interference compensation coefficient caused by the vaporization of the high-temperature sample entering the water. Step S2123: When extracting the vertical displacement features and calculating the sinking rate, the observed actual descent speed is kinematically compensated using the additional buoyancy interference compensation coefficient to filter out the deceleration error caused by the dynamic vaporization membrane. Step S2124: When extracting the surface grayscale change features, a dynamic image mask is generated based on the rigid particle entity boundary to shield the high light reflection interference of the dynamic vaporization coating boundary region, and only the real surface grayscale change data inside the rigid particle entity boundary is calculated.
10. A control device for preparing hydrophilic adsorbent materials, characterized in that, A control method for preparing a hydrophilic adsorbent material according to any one of claims 1 to 9, the apparatus comprising: The sample acquisition module is used to control the activation equipment to process the coke to be activated using sodium hydroxide and oxygen-enriched activation processes. The activation process is monitored by the monitoring equipment and modified activated carbon samples are acquired in segments according to a preset cycle. The data acquisition module is used to collect characteristic data of the modified activated carbon sample. The characteristic data includes current mesoporosity characteristic data and sedimentation characteristic data. The current mesoporosity characteristic data is measured by a pore detection device and is used to characterize the degree of pore structure development of the sample. The sedimentation characteristic data is calculated by the water absorption rate and sinking rate of the sample in a preset water environment and is used to characterize the hydrophilicity bias of the sample. The state definition module is used to match the current mesoporosity feature data and the sedimentation feature data with the feature state and construct a two-dimensional feature state vector. The two-dimensional feature state vector is then compared with the preset hydrophilicity target state to define the current polarity conversion progress state. The instruction calculation module is used to trigger the gas-liquid synergistic control strategy and generate corresponding synergistic control instructions based on the state deviation calculation when the current polarity conversion progress state has not reached the hydrophilicity target state. The feedback adjustment module is used to adjust the sodium hydroxide injection ratio, oxygen enrichment ratio, activation temperature and reaction time in the activation device according to the collaborative control command. The oxygen enrichment ratio in the adjusted gas is constrained to ≥30% until the characteristic data meets the hydrophilicity target state.
11. A computer-readable storage medium, characterized in that, The device stores a computer program that, when executed by a processor, causes the processor to perform the steps of the method as described in any one of claims 1 to 9.
12. A computer device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method as described in any one of claims 1 to 9.