A defoaming control method and system based on dynamic balance adjustment

Abstract

The present invention belongs to the technical field of defoaming control, and particularly relates to a defoaming control method and system based on dynamic balance adjustment. Through the real-time acquisition and fusion of multiple parameters, the invention realizes the precise monitoring of the bubble state, can quickly identify abnormal states, avoids deviations caused by a single index, adjusts the defoaming strategy based on real-time feedback, makes the defoaming process have high precision and controllability, can effectively reduce the residual bubble concentration, the dynamic monitoring of the defoaming container parameters can adapt to different external interferences, ensures stable operation under different working conditions, the adaptive feedback adjustment mechanism can continuously optimize the operating parameters, makes a rapid response to environmental changes, can ensure the maintenance of dynamic balance during long-term operation, reduces process fluctuations caused by abnormal bubbles, and has an obvious positive effect on improving product quality.

Description

Technical Field

[0001] The present invention belongs to the technical field of defoaming control, and particularly relates to a defoaming control method and system based on dynamic balance regulation. Background Art

[0002] In multiple industrial scenarios such as chemical engineering, biopharmaceuticals, food processing, material manufacturing, semiconductors, and precision electronics, liquid media often inevitably entrain air bubbles during the processes of flowing, mixing, or reacting. If these air bubbles are not removed in a timely and effective manner, they will not only affect the purity, stability, and performance of the products, but may also cause problems such as pipeline blockage, equipment wear, and decreased reaction efficiency. Therefore, efficient and precise defoaming control methods are of great significance for ensuring process stability and product quality.

[0003] Most of the existing defoaming control methods rely on fixed process parameters or static control strategies, and there are generally technical bottlenecks. Traditional defoaming methods often only rely on a single air bubble concentration or apparent density index for judgment, ignoring multi-dimensional physical parameters, which results in an incomplete and inaccurate identification of abnormal air bubble states and an inability to effectively respond to different types or stages of air bubble abnormalities. During the actual defoaming process, the parameters inside the container will significantly affect the generation and removal efficiency of air bubbles. Traditional control schemes often do not regard the dynamic state of the defoaming container as a key regulation factor, making the strategy adjustment lack the perception of the overall operating environment of the system and having limited regulation ability. Since the air bubble state and the container state are constantly changing, the strategy within a single execution cycle often cannot cope with the system fluctuations during long-term operation. Summary of the Invention

[0004] The purpose of the present invention is to provide a defoaming control method and system based on dynamic balance regulation, which can effectively solve the problems of single detection, fixed strategy, and untimely feedback existing in traditional methods by comprehensively collecting and integrating multi-dimensional state data of fluids and containers and adopting closed-loop feedback and adaptive control strategies.

[0005] The technical solutions adopted by the present invention are specifically as follows:

[0006] A defoaming control method based on dynamic balance regulation, comprising:

[0007] Obtain fluid air bubble state data, where the fluid air bubble state data includes air bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information, and obtain air bubble abnormality information according to the fluid air bubble state data;

[0008] Obtain the state parameters of the defoaming container, where the state parameters of the defoaming container include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtain the defoaming container compensation information according to the state parameters of the defoaming container;

[0009] Obtain a defoaming strategy based on the bubble abnormality information and the defoaming container compensation information, and execute the defoaming strategy;

[0010] Construct a verification period according to the defoaming strategy, and obtain the change information of the bubble concentration after executing the defoaming strategy within the verification period;

[0011] Judge whether the change information of the bubble concentration meets the preset conditions. If not, obtain the bubble abnormality information and the defoaming container compensation information after executing the defoaming strategy, and combine the change information of the bubble concentration to obtain a verified defoaming strategy, and execute the verified defoaming strategy;

[0012] Obtain a new verification period after executing the verified defoaming strategy, and re-judge the change information of the bubble concentration according to the new verification period.

[0013] In a preferred solution, obtain fluid bubble state data, where the fluid bubble state data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information, and the steps of obtaining bubble abnormality information according to the fluid bubble state data include:

[0014] Obtain fluid bubble state data, where the fluid bubble state data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information;

[0015] Obtain the corresponding bubble distribution density matrix, liquid phase viscosity matrix, and gas-liquid interface tension matrix according to the bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information respectively, and obtain the corresponding multiple bubble distribution density vectors, multiple liquid phase viscosity vectors, and multiple gas-liquid interface tension vectors according to the bubble distribution density matrix, liquid phase viscosity matrix, and gas-liquid interface tension matrix respectively;

[0016] Obtain a bubble state value according to the multiple bubble distribution density vectors, multiple liquid phase viscosity vectors, and multiple gas-liquid interface tension vectors;

[0017] Obtain a bubble state threshold, and judge whether the bubble state value exceeds the bubble state threshold;

[0018] If the bubble state value exceeds the bubble state threshold, determine that the bubble state is abnormal and mark it as bubble abnormality information;

[0019] If the bubble state value does not exceed the bubble state threshold, determine that the bubble state is normal and mark it as bubble normal information.

[0020] In a preferred solution, obtain defoaming container state parameters, where the defoaming container state parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and the steps of obtaining defoaming container compensation information according to the defoaming container state parameters include:

[0021] Obtain the defoaming container status parameters, where the defoaming container status parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information;

[0022] Respectively obtain the corresponding pressure fluctuation frequency vector, temperature field vector, and mechanical disturbance frequency vector according to the pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information;

[0023] Obtain the defoaming container status value according to the pressure fluctuation frequency vector, temperature field vector, and mechanical disturbance frequency vector;

[0024] Obtain the defoaming compensation table, where the defoaming compensation table includes multiple defoaming container status intervals and the defoaming container compensation information corresponding to each defoaming container status interval;

[0025] Obtain the corresponding defoaming container compensation information from the defoaming compensation table according to the defoaming container status interval corresponding to the defoaming container status value.

[0026] In a preferred solution, the steps of obtaining the defoaming strategy according to the bubble abnormality information and the defoaming container compensation information and executing the defoaming strategy include:

[0027] Obtain the corresponding bubble status value according to the bubble abnormality information;

[0028] Obtain the corresponding defoaming container status value according to the defoaming container compensation information;

[0029] Obtain the initial strategy value according to the bubble status value and the defoaming container status value;

[0030] Obtain the initial strategy table, where the initial strategy table includes multiple initial strategy intervals and the defoaming strategies corresponding to each initial strategy interval;

[0031] Obtain the corresponding defoaming strategy from the initial strategy table according to the initial strategy interval corresponding to the initial strategy value.

[0032] In a preferred solution, the steps of constructing a verification period according to the defoaming strategy and obtaining the bubble concentration change information after executing the defoaming strategy within the verification period include:

[0033] Construct a verification period according to the defoaming strategy;

[0034] Obtain the bubble concentration change data after executing the defoaming strategy within the verification period, and obtain the bubble concentration change matrix according to the bubble concentration change data, and extract multiple bubble concentration change vectors from the bubble concentration change matrix;

[0035] Obtain the corresponding bubble concentration change value according to the multiple bubble concentration change vectors;

[0036] Obtaining a bubble change table, wherein the bubble change table includes a plurality of bubble concentration change intervals and bubble concentration change information corresponding to each bubble concentration change interval;

[0037] The corresponding bubble concentration change information is obtained from the bubble change table according to the bubble concentration change interval corresponding to the bubble concentration change value.

[0038] In a preferred embodiment, the step of establishing a verification cycle according to the degassing strategy includes:

[0039] Obtain the corresponding initial strategy value according to the degassing strategy;

[0040] Get the standard duration and benchmark strategy value;

[0041] Obtain the corresponding verification duration based on the initial policy value, the baseline policy value, and the standard duration;

[0042] Get the time node for executing the degassing strategy and mark it as the start time of the verification cycle;

[0043] Get the end time of the verification period based on the verification duration and the start time of the verification period, and build the verification period.

[0044] In a preferred embodiment, it is determined whether the bubble concentration change information meets the preset conditions. If not, the bubble abnormality information and the degassing container compensation information after the degassing strategy is executed are obtained, and the degassing strategy is verified in combination with the bubble concentration change information. The steps of verifying the degassing strategy are performed, including:

[0045] Obtain corresponding bubble concentration change value according to bubble concentration change information;

[0046] Get the bubble concentration change threshold;

[0047] Determine whether the bubble concentration change value exceeds the bubble concentration change threshold;

[0048] If the bubble concentration change value exceeds the bubble concentration change threshold, degassing is determined to be abnormal, and the bubble abnormality information and degassing container compensation information after the degassing strategy is executed are obtained and marked as verification bubble abnormality information and verification degassing container compensation information respectively;

[0049] If the bubble concentration change value does not exceed the bubble concentration change threshold, the degassing is determined to be stable;

[0050] Acquire the verification bubble abnormality information, the verification degassing container compensation information and the bubble concentration change information to obtain the verification degassing strategy, and execute the verification degassing strategy.

[0051] In a preferred solution, a defoaming verification strategy is obtained based on the verification bubble anomaly information, the verification defoaming container compensation information, and the bubble concentration change information, and the steps of executing the defoaming verification strategy include:

[0052] Respectively obtain the corresponding verification bubble status value, verification defoaming container status value, and bubble concentration change value according to the verification bubble anomaly information, the verification defoaming container compensation information, and the bubble concentration change information;

[0053] Obtain a verification strategy value according to the verification bubble status value, the verification defoaming container status value, and the bubble concentration change value;

[0054] Obtain a verification strategy table, where the verification strategy table includes multiple verification strategy intervals and the corresponding defoaming verification strategies for each verification strategy interval;

[0055] Obtain the corresponding defoaming verification strategy from the verification strategy table according to the verification strategy interval corresponding to the verification strategy value, and execute the defoaming verification strategy.

[0056] The present invention also provides a defoaming control system based on dynamic balance adjustment for the above-mentioned defoaming control method based on dynamic balance adjustment, including:

[0057] A bubble status module for obtaining fluid bubble status data, where the fluid bubble status data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information, and obtaining bubble anomaly information according to the fluid bubble status data;

[0058] A defoaming container module for obtaining defoaming container status parameters, where the defoaming container status parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtaining defoaming container compensation information according to the defoaming container status parameters;

[0059] A defoaming strategy module for obtaining a defoaming strategy according to the bubble anomaly information and the defoaming container compensation information, and executing the defoaming strategy;

[0060] A bubble concentration module for constructing a verification period according to the defoaming strategy and obtaining the bubble concentration change information after executing the defoaming strategy within the verification period;

[0061] A verification module for determining whether the bubble concentration change information meets a preset condition. If not, obtain the bubble anomaly information and the defoaming container compensation information after executing the defoaming strategy, and combine the bubble concentration change information to obtain a defoaming verification strategy, and execute the defoaming verification strategy;

[0062] A feedback module for obtaining a new verification period after executing the defoaming verification strategy, and re-determining the bubble concentration change information according to the new verification period.

[0063] And, a defoaming control terminal based on dynamic balance adjustment, comprising:

[0064] One or more processors;

[0065] A storage device on which one or more programs are stored;

[0066] When the one or more programs are executed by the one or more processors, the one or more processors implement a defoaming control method based on dynamic balance adjustment.

[0067] The technical effects achieved by the present invention are as follows:

[0068] In the present invention, through real-time acquisition and fusion of multiple parameters, precise monitoring of the bubble state is achieved, abnormal states can be quickly identified, avoiding deviations caused by a single indicator, adjusting the defoaming strategy based on real-time feedback, making the defoaming process have high precision and controllability, effectively reducing the residual bubble concentration, the dynamic monitoring of the defoaming container parameters can adapt to different external interferences, ensuring stable operation under different working conditions, the adaptive feedback adjustment mechanism can continuously optimize the operating parameters, quickly respond to environmental changes, the entire control process relies on real-time data monitoring and closed-loop feedback adjustment, effectively reducing the uncertainty brought by manual intervention and experience-based control, ensuring dynamic balance can be maintained during long-term operation, reducing process fluctuations caused by abnormal bubbles, and having an obvious positive effect on improving product quality. Description of the Drawings

[0069] Figure 1 is the flowchart of the method provided by the present invention.

[0070] Figure 2 is the system module diagram provided by the present invention. Detailed Embodiments

[0071] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the accompanying drawings of the specification.

[0072] In the following description, many specific details are set forth to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0073] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The "in a preferred embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selectively exclusive embodiment from other embodiments.

[0074] Next, the present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein.

[0075] Please refer to the attached Figure 1 As shown, a defoaming control method based on dynamic balance adjustment is provided, including:

[0076] S1. Obtain fluid bubble state data, where the fluid bubble state data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information, and obtain bubble abnormality information according to the fluid bubble state data;

[0077] S2. Obtain defoaming container state parameters, where the defoaming container state parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtain defoaming container compensation information according to the defoaming container state parameters;

[0078] S3. Obtain a defoaming strategy according to the bubble abnormality information and the defoaming container compensation information, and execute the defoaming strategy;

[0079] S4. Construct a verification period according to the defoaming strategy, and obtain the change information of the bubble concentration after executing the defoaming strategy within the verification period;

[0080] S5. Judge whether the change information of the bubble concentration meets the preset conditions. If not, obtain the bubble abnormality information and the defoaming container compensation information after executing the defoaming strategy, and obtain a verified defoaming strategy in combination with the change information of the bubble concentration, and execute the verified defoaming strategy;

[0081] S6. Obtain a new verification period after executing the verified defoaming strategy, and re-judge the change information of the bubble concentration according to the new verification period.

[0082] In the above steps S1 to S6, a comprehensive collection of the bubble state in the fluid is carried out, including key indicators such as the distribution density of bubbles, the viscosity of the liquid phase, and the gas-liquid interfacial tension. These data not only reflect the current distribution and state of the bubbles but also can be used to judge whether there are abnormal bubble conditions, such as abnormal concentration, uneven distribution, etc. At the same time, the state of the degassing container itself is monitored to obtain parameters such as the pressure fluctuation frequency, the change of the temperature field, and the mechanical perturbation frequency. These data reflect the dynamic environmental state inside the container. Combining the abnormal information in the fluid bubble state with the container compensation information can form a multi-dimensional real-time feedback. Through this information fusion, the current degassing environmental conditions can be comprehensively judged. According to the above-fused information, the key points of dynamic balance adjustment are extracted, and a targeted degassing strategy is formulated. This strategy not only considers the bubble state of the fluid itself but also takes into account the external environment and container factors. Through intelligent algorithms and control logics, the degassing parameters are accurately adjusted to achieve the best degassing effect. After the strategy is executed, by setting a verification period (i.e., feedback monitoring within a certain time interval), the change information of the bubble concentration after degassing is collected in real time, so as to judge the actual effect of the degassing strategy. If the monitored change in the bubble concentration does not meet the preset requirements, new bubble abnormal information and container compensation information are obtained again, combined with the current data after degassing, and an optimized verification degassing strategy is re-formulated and executed. Then, a new verification period is started to form a closed-loop feedback regulation, so as to continuously optimize until the preset degassing conditions are met. Through the real-time collection and fusion of multiple parameters, the accurate monitoring of the bubble state can be realized, and abnormal states can be quickly identified, avoiding deviations caused by a single indicator. Based on the real-time feedback, the degassing strategy is adjusted, making the degassing process have high precision and controllability, effectively reducing the residual bubble concentration. The dynamic monitoring of the degassing container parameters can adapt to different external interferences (such as temperature, pressure fluctuations, and mechanical perturbations), ensuring stable operation under different working conditions. The adaptive feedback regulation mechanism can continuously optimize the operating parameters and quickly respond to environmental changes. The entire control process relies on real-time data monitoring and closed-loop feedback regulation, effectively reducing the uncertainty brought by manual intervention and experience-based control, ensuring dynamic balance during long-term operation, and reducing process fluctuations caused by abnormal bubbles, which has an obvious positive effect on improving product quality.

[0083] In a preferred embodiment, the step of obtaining fluid bubble state data, wherein the fluid bubble state data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interfacial tension information, and obtaining bubble abnormal information according to the fluid bubble state data, includes:

[0084] S101. Obtain fluid bubble state data, wherein the fluid bubble state data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interfacial tension information;

[0085] S102. Obtain the corresponding bubble distribution density matrix, liquid-phase viscosity matrix, and gas-liquid interfacial tension matrix according to the bubble distribution density information, liquid-phase viscosity information, and gas-liquid interfacial tension information respectively, and obtain the corresponding multiple bubble distribution density vectors, multiple liquid-phase viscosity vectors, and multiple gas-liquid interfacial tension vectors according to the bubble distribution density matrix, liquid-phase viscosity matrix, and gas-liquid interfacial tension matrix respectively;

[0086] S103. Obtain the bubble state value according to the multiple bubble distribution density vectors, multiple liquid-phase viscosity vectors, and multiple gas-liquid interfacial tension vectors;

[0087] S104. Obtain the bubble state threshold and determine whether the bubble state value exceeds the bubble state threshold;

[0088] If the bubble state value exceeds the bubble state threshold, it is determined that the bubble state is abnormal and marked as bubble abnormal information;

[0089] If the bubble state value does not exceed the bubble state threshold, it is determined that the bubble state is normal and marked as bubble normal information.

[0090] In the above steps S101 to S104, the data information of the three indicators of bubble distribution density, liquid-phase viscosity, and gas-liquid interfacial tension is collected. By obtaining this data from different sensors or detection systems, the comprehensive monitoring of the bubble characteristics in the fluid is ensured. The collected raw data is respectively converted into matrix form, namely: the bubble distribution density matrix, which reflects the density distribution of bubbles in each region of the fluid; the liquid-phase viscosity matrix, which reflects the flow viscosity state of the fluid at different positions; the gas-liquid interfacial tension matrix, which reflects the interaction strength between the bubble and the liquid interface. These matrices are further subdivided into multiple vectors, and these vectors correspond to the detection data in different regions or time periods. Through this decomposition of data dimensions, a more refined description of the bubble state can be obtained. The multiple bubble distribution density vectors, liquid-phase viscosity vectors, and gas-liquid interfacial tension vectors are used to calculate the bubble state value. The calculation formula of the bubble state value is , where Q represents the bubble state value, i represents the numbers of the multiple bubble distribution density vectors, multiple liquid-phase viscosity vectors, and multiple gas-liquid interfacial tension vectors, i = 1, 2, 3…n, G i represents the i-th bubble distribution density vector, N i represents the i-th liquid-phase viscosity vector, L iDenoted as the i-th gas-liquid interfacial tension vector, for automated determination, it is necessary to preset the threshold range of the bubble state in advance. Compare the obtained bubble state value with this preset threshold. If the state value exceeds the preset threshold, it indicates that there are abnormal conditions in the bubbles, such as excessive bubbles or uneven distribution, abnormal changes in the liquid flow characteristics, etc. At this time, it is determined as "abnormal bubbles" and the corresponding abnormal information is generated. If the state value does not exceed the threshold, it is considered that the current bubble state is within the normal range, and it is marked as "normal bubbles" information. By simultaneously collecting three different indicators: bubble distribution density, liquid phase viscosity, and gas-liquid interfacial tension, the fluid state can be more comprehensively described, reducing the risk of misjudgment that may be brought by a single indicator, thereby ensuring the accuracy of the monitoring results. After synthesizing multiple physical indicators into a single or multiple bubble state values, the comprehensive state of the fluid can be more intuitively reflected, making the subsequent process control more targeted and flexible.

[0091] In a preferred embodiment, the steps of obtaining the degassing container state parameters, where the degassing container state parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtaining the degassing container compensation information according to the degassing container state parameters, include:

[0092] S201. Obtain the degassing container state parameters, where the degassing container state parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information;

[0093] S202. Obtain the corresponding pressure fluctuation frequency vector, temperature field vector, and mechanical disturbance frequency vector according to the pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information respectively;

[0094] S203. Obtain the degassing container state value according to the pressure fluctuation frequency vector, temperature field vector, and mechanical disturbance frequency vector;

[0095] S204. Obtain the degassing compensation table, where the degassing compensation table includes multiple degassing container state intervals and the degassing container compensation information corresponding to each degassing container state interval;

[0096] S205. Obtain the corresponding degassing container compensation information from the degassing compensation table according to the degassing container state interval corresponding to the degassing container state value.

[0097] As in the above steps S201 to S205, the dynamic environmental state of the degassing container is comprehensively monitored, and the following three types of parameters are mainly collected: pressure fluctuation frequency information, which reflects the frequency characteristics of the pressure change inside the container; temperature field information, which describes the distribution of temperature in the container and its fluctuation; mechanical disturbance frequency information, which records the state frequency caused by mechanical vibration or external disturbance. These information constitute the basic data source for the working state of the degassing container, and the collected state parameters are converted into corresponding vectors respectively: the pressure fluctuation frequency information is converted into the pressure fluctuation frequency vector, the temperature field information is converted into the temperature field vector, and the mechanical disturbance frequency information is converted into the mechanical disturbance frequency vector. Based on the above three vectors (pressure fluctuation, temperature field, mechanical disturbance), the state value of the degassing container is calculated. The calculation formula of the state value of the degassing container is: In the formula, R represents the state value of the degassing container, Y represents the pressure fluctuation frequency vector, W represents the temperature field vector, and J represents the mechanical disturbance frequency vector. A degassing compensation table is pre-built or stored. The table is divided into multiple state intervals according to the state value of the container, and corresponding compensation information is formulated for each state interval. The compensation information can include adjustment strategy, parameter compensation amount, control logic, etc. The purpose is to provide the best adjustment plan for the working condition fluctuations under different container states. According to the state value of the degassing container, the specific state interval it falls into is identified, and then the compensation information of the corresponding interval is extracted from the degassing compensation table. At the same time, multi-dimensional parameters such as pressure, temperature and mechanical disturbance are collected, making the monitoring of the container state more comprehensive and preventing the overall working condition from being misjudged due to the fluctuation of a single parameter, thereby improving the accuracy and real-time performance of the detection. The setting of the compensation table and the vectorized calculation can flexibly respond to the state changes under different working conditions, and quickly match the corresponding compensation plan, thereby increasing the adaptability to external disturbances.

[0098] In a preferred embodiment, the steps of obtaining a degassing strategy based on the bubble abnormality information and the degassing container compensation information and executing the degassing strategy include:

[0099] S301, obtaining a corresponding bubble status value according to bubble abnormality information;

[0100] S302, obtaining a corresponding degassing container state value according to the degassing container compensation information;

[0101] S303, obtaining an initial strategy value according to the bubble state value and the degassing container state value;

[0102] S304: Obtain an initial strategy table, wherein the initial strategy table includes multiple initial strategy intervals and a degassing strategy corresponding to each initial strategy interval;

[0103] S305 . Obtain the corresponding degassing strategy from the initial strategy table according to the initial strategy interval corresponding to the initial strategy value.

[0104] In the above steps S301 to S305, by processing the collected bubble anomaly information, a value for quantitatively describing the abnormal state of bubbles in the fluid is extracted. At the same time, according to the degassing container compensation information, that is, the information obtained by processing state parameters such as monitored pressure fluctuations, temperature fields, and mechanical disturbances before, a degassing container state value is extracted. Using these two key state values, an initial strategy value is calculated. The calculation formula for the initial strategy value is C = Q * R, where C represents the initial strategy value, R represents the degassing container state value, and Q represents the bubble state value. An initial strategy table is pre-constructed. Multiple initial strategy intervals are defined in the table, and each interval is associated with a corresponding degassing strategy. The division of the strategy intervals depends on the combined performance of the bubble state value and the container state value, and is used to match the optimal control scheme under different working conditions. The calculated initial strategy value is matched with the interval correspondence in the preset strategy table to determine the specific degassing strategy plan. This strategy plan is the execution plan for specifically solving the bubble anomaly problem under the current working conditions, ensuring that the effect of the degassing process meets the requirements of the production process. By fusing the bubble anomaly information and the container compensation information, the key working condition factors involved in the actual degassing process can be fully reflected, thereby generating a more targeted and accurate initial strategy value, ensuring the matching degree between the strategy selection and the actual state.

[0105] In a preferred embodiment, the steps of constructing a verification period according to the degassing strategy and obtaining the bubble concentration change information after executing the degassing strategy within the verification period include:

[0106] S401. Construct a verification period according to the degassing strategy;

[0107] S402. Obtain the bubble concentration change data after executing the degassing strategy within the verification period, and obtain a bubble concentration change matrix according to the bubble concentration change data. Extract multiple bubble concentration change vectors from the bubble concentration change matrix;

[0108] S403. Obtain the corresponding bubble concentration change values according to the multiple bubble concentration change vectors;

[0109] S404. Obtain a bubble change table, where the bubble change table includes multiple bubble concentration change intervals and the corresponding bubble concentration change information for each bubble concentration change interval;

[0110] S405. Obtain the corresponding bubble concentration change information from the bubble change table according to the bubble concentration change interval corresponding to the bubble concentration change value.

[0111] In the above steps S401 to S405, according to the defoaming strategy executed in the previous stage, a reasonable time window is set as the verification period. During this period, the change in bubble concentration after executing the defoaming strategy will be continuously monitored to timely judge the actual effect of the strategy. During the verification period, data on the change in bubble concentration is collected using sensors or on-line monitoring devices. These data are processed to form a matrix of changes in bubble concentration. Further, multiple vectors of changes in bubble concentration are extracted from the matrix. According to the extracted multiple vectors of changes in bubble concentration, the corresponding comprehensive value of the change in bubble concentration is calculated. The calculation formula for the value of the change in bubble concentration is , where d represents the value of the change in bubble concentration, q represents the number of multiple vectors of changes in bubble concentration, q = 1, 2, 3... f, D q represents the qth vector of changes in bubble concentration. A bubble change table is established in advance. This table divides the possible changes in bubble concentration into multiple intervals, and each interval corresponds to specific information on the change in bubble concentration (such as the amplitude, speed, or trend of the change, etc.). The preset bubble change table standardizes complex numerical information. Through interval division, it can be quickly judged which category the current change in bubble concentration belongs to, thereby simplifying the decision-making process. The previously calculated value of the change in bubble concentration is matched with the intervals in the bubble change table to extract the corresponding information on the change in bubble concentration. By collecting data on the change in bubble concentration in real time during the verification period, the actual defoaming effect can be quickly obtained. Through the fusion calculation of multiple vectors of changes in bubble concentration, subtle changes in working conditions can be captured, and the sensitivity to environmental fluctuations and changes in production parameters can be improved.

[0112] In a preferred embodiment, the steps of constructing the verification period according to the defoaming strategy include:

[0113] S4011. Obtain the corresponding initial strategy value according to the defoaming strategy;

[0114] S4012. Obtain the standard duration and the reference strategy value;

[0115] S4013. Obtain the corresponding verification duration according to the initial strategy value, the reference strategy value, and the standard duration;

[0116] S4014. Obtain the time node for executing the defoaming strategy and mark it as the start time of the verification period;

[0117] S4015. Obtain the end time of the verification period according to the verification duration and the start time of the verification period, and construct the verification period.

[0118] In the above steps S4011 to S4015, by extracting data from the degassing strategy, an initial strategy value is obtained. A standard duration and a reference strategy value are preset in advance based on professional experience and actual process requirements. These two pieces of data respectively represent the time within which the degassing strategy should achieve the expected effect under ideal or expected conditions, and the reference value of the corresponding strategy. By comparing the initial strategy value with the reference strategy value, according to the numerical deviation and process requirements, the verification duration is calculated. The calculation formula for the verification duration is , where T verify represents the verification duration, C represents the initial strategy value, and C benchmark represents the reference strategy value, and T standard represents the standard duration. Record the time when the degassing strategy officially starts to execute as the starting point of the verification period. After knowing the verification duration and the starting time, the end time of the verification period is determined through simple time calculations, thus constructing a complete time window. Within this time window, the degassing effect is comprehensively monitored and data is collected. By comparing the initial strategy value with the reference strategy value and dynamically determining the verification duration, the time required for the degassing process to achieve the expected effect can be accurately grasped, providing a quantitative basis for real-time feedback. Automatically calculating the verification duration according to the current working conditions not only avoids fixed-time design, has the ability of adaptive regulation, and can flexibly respond to the degassing requirements under different states. Data collection within the verification period enables abnormal situations to be discovered and fed back to the control system in a short time, so as to timely execute subsequent optimization measures and effectively prevent the spread of abnormalities.

[0119] In a preferred embodiment, it is determined whether the bubble concentration change information meets the preset conditions. If not, the bubble abnormal information and the degassing container compensation information after executing the degassing strategy are obtained, and the verification degassing strategy is obtained in combination with the bubble concentration change information, and the steps of executing the verification degassing strategy include:

[0120] S501. Obtain the corresponding bubble concentration change value according to the bubble concentration change information;

[0121] S502. Obtain the bubble concentration change threshold;

[0122] S503. Determine whether the bubble concentration change value exceeds the bubble concentration change threshold;

[0123] If the bubble concentration change value exceeds the bubble concentration change threshold, it is determined that the degassing is abnormal, and the bubble abnormal information and the degassing container compensation information after executing the degassing strategy are obtained, and are respectively marked as the verification bubble abnormal information and the verification degassing container compensation information;

[0124] If the bubble concentration change value does not exceed the bubble concentration change threshold, it is determined that the degassing is stable;

[0125] S504. Obtain the calibration bubble anomaly information, the calibration degassing container compensation information, and the bubble concentration change information to obtain the calibration degassing strategy, and execute the calibration degassing strategy.

[0126] In the above steps S501 to S504, the corresponding bubble concentration change values are extracted from the bubble concentration change information collected during the calibration period. A bubble concentration change threshold is preset, which is a standard determined based on process requirements, historical data, and expected effects. By comparing the bubble concentration change value with the set threshold, it is judged whether the effect after the execution of the degassing strategy meets the expected standard. If the bubble concentration change value exceeds the preset threshold, it is determined that an anomaly occurs during the execution of the degassing strategy. At this time, it is necessary to further obtain the bubble anomaly information and the degassing container compensation information after the execution of the strategy, and mark them as the calibration bubble anomaly information and the calibration degassing container compensation information respectively. If the bubble concentration change value does not exceed the threshold, it is determined that the current degassing process is stable, indicating that the strategy has met the expected requirements and no additional strategy verification is required. When it is judged as "degassing anomaly", the calibration bubble anomaly information, the calibration degassing container compensation information, and the bubble concentration change information are integrated. By obtaining and analyzing the bubble concentration change in real time, it is possible to quickly judge whether there is an anomaly in the current degassing process, forming a closed-loop control. With the help of threshold setting and real-time data collection, fine-tuning can be carried out to reduce the uncertainty of subjective judgment.

[0127] In a preferred embodiment, the steps of obtaining the calibration degassing strategy according to the calibration bubble anomaly information, the calibration degassing container compensation information, and the bubble concentration change information, and executing the calibration degassing strategy include:

[0128] S5041. Respectively obtain the corresponding calibration bubble status value, calibration degassing container status value, and bubble concentration change value according to the calibration bubble anomaly information, the calibration degassing container compensation information, and the bubble concentration change information;

[0129] S5042. Obtain the calibration strategy value according to the calibration bubble status value, the calibration degassing container status value, and the bubble concentration change value;

[0130] S5043. Obtain the calibration strategy table, where the calibration strategy table includes multiple calibration strategy intervals and the corresponding calibration degassing strategies for each calibration strategy interval;

[0131] S5044. Obtain the corresponding calibration degassing strategy from the calibration strategy table according to the calibration strategy interval corresponding to the calibration strategy value, and execute the calibration degassing strategy.

[0132] In the above steps S5041 to S5044, key indicators are respectively extracted from the verification bubble anomaly information, the verification degassing container compensation information, and the bubble concentration change information, namely the verification bubble state value, the verification degassing container state value, and the bubble concentration change value. Using the obtained three key state values (verification bubble state value, verification degassing container state value, and bubble concentration change value), a comprehensive verification strategy value is calculated. The calculation formula of the verification strategy value is , where F represents the verification strategy value, Q verify represents the verification bubble state value, R verify represents the verification degassing container state value, d represents the bubble concentration change value. The verification strategy table is established in advance through experimental data and process requirements and consists of multiple verification strategy intervals. Each interval corresponds to a set of verified degassing strategies. The obtained verification strategy value is matched with the strategy intervals defined in the verification strategy table, and the corresponding degassing strategy is selected. After the matching is completed, the verification strategy is immediately executed. After obtaining the verification information in the process, through real-time calculation and matching of strategies, a complete closed-loop feedback system is formed. When an anomaly is detected, the verification strategy can be immediately activated to correct the anomaly, effectively ensuring that the degassing process is in an ideal state. Dynamic verification and timely adjustment ensure the stability of the degassing process throughout the process, prevent product defects caused by bubble anomalies, and improve product quality.

[0133] Please refer to the appendix Figure 2 As shown, the present invention also provides a degassing control system based on dynamic balance adjustment for the above degassing control method based on dynamic balance adjustment, including:

[0134] A bubble state module for obtaining fluid bubble state data, where the fluid bubble state data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information, and obtaining bubble anomaly information according to the fluid bubble state data;

[0135] A degassing container module for obtaining degassing container state parameters, where the degassing container state parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtaining degassing container compensation information according to the degassing container state parameters;

[0136] A degassing strategy module for obtaining a degassing strategy according to the bubble anomaly information and the degassing container compensation information and executing the degassing strategy;

[0137] A bubble concentration module for constructing a verification period according to the degassing strategy and obtaining bubble concentration change information after executing the degassing strategy within the verification period;

[0138] A verification module, which is used to determine whether the bubble concentration change information meets the preset conditions. If not, it obtains the bubble abnormality information and the defoaming container compensation information after executing the defoaming strategy, combines the bubble concentration change information to obtain a verified defoaming strategy, and executes the verified defoaming strategy;

[0139] A feedback module, which is used to obtain a new verification cycle after executing the verified defoaming strategy, and re-judge the bubble concentration change information according to the new verification cycle.

[0140] As described above, the bubble state module is responsible for collecting the state data of various bubbles in the fluid in real time, mainly including information such as bubble distribution density, liquid phase viscosity, and gas-liquid interface tension. By converting the collected data into forms such as matrices and vectors, it can calculate a comprehensive bubble state value, and based on a preset threshold, judge whether there is a bubble abnormality situation currently, and then generate "bubble abnormality information". The defoaming container module monitors the state parameters inside the defoaming container, including pressure fluctuation frequency, temperature field distribution, and mechanical disturbance frequency, etc. By performing vectorization, matrix processing, and algorithm calculation on these state parameters, it obtains the comprehensive state value of the container, and at the same time refers to the preset compensation table to output the corresponding "defoaming container compensation information". The defoaming strategy module takes the bubble abnormality information and the defoaming container compensation information as inputs, and uses preset algorithms and logical relationships to generate a defoaming strategy for the current working condition from them, and immediately executes this strategy. The bubble concentration module constructs a verification cycle after executing the defoaming strategy, and collects the bubble concentration change information within this time window. By collecting feedback data to construct a bubble concentration change matrix, extracting multiple vectors from it, and calculating the bubble concentration change value, it can intuitively reflect the implementation effect of the strategy. The verification module judges whether the defoaming effect meets the requirements according to the bubble concentration change information and compares it with the preset conditions. If the bubble concentration change is within the allowable range, it indicates that the current strategy is executed stably. If it exceeds the preset threshold, it is determined that there is an abnormality. Further, it obtains the bubble abnormality information and the defoaming container compensation information after executing the defoaming strategy, and combines the bubble concentration change to generate a verified defoaming strategy. The feedback module monitors the new data after executing the verified defoaming strategy, reconstructs the verification cycle, further judges the bubble concentration change, and uses the verification result as the input for subsequent strategy adjustment to form a complete feedback closed-loop, realizing the continuous self-optimization and adaptation of the system. Through the multi-dimensional monitoring of the bubble state and the container state, it can comprehensively reflect the actual working condition, avoid misjudgment caused by a single index, and use the preset strategy table and dynamic data fusion algorithm to automatically generate, match, and execute the best defoaming plan, reduce manual intervention, identify and correct bubble abnormalities in time, effectively control the bubble concentration, and thus avoid affecting product quality due to bubble problems, and improve the consistency and stability of products.

[0141] And, a defoaming control terminal based on dynamic balance adjustment, including:

[0142] One or more processors;

[0143] A storage device on which one or more programs are stored;

[0144] When the one or more programs are executed by the one or more processors, the one or more processors implement a defoaming control method based on dynamic balance adjustment.

[0145] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention. The structures, devices, and operation methods not specifically described and explained in the present invention are implemented according to the conventional means in the art without special description and limitation.

Claims

1. A defoaming control method based on dynamic balance adjustment, characterized in that Including: Obtain fluid bubble state data, where the fluid bubble state data includes bubble distribution density information, liquid-phase viscosity information, and gas-liquid interface tension information, and obtain bubble anomaly information based on the fluid bubble state data; Obtain the state parameters of the degassing container, where the state parameters of the degassing container include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtain the degassing container compensation information based on the state parameters of the degassing container; Obtain a degassing strategy based on the bubble anomaly information and the degassing container compensation information, and execute the degassing strategy; Construct a verification period according to the degassing strategy, and obtain the change information of the bubble concentration after executing the degassing strategy within the verification period; Judge whether the change information of the bubble concentration meets the preset conditions. If not, obtain the bubble anomaly information and the degassing container compensation information after executing the degassing strategy, and combine the change information of the bubble concentration to obtain a verified degassing strategy, and execute the verified degassing strategy; Obtain a new verification period after executing the verified degassing strategy, and re-judge the change information of the bubble concentration according to the new verification period; The step of obtaining fluid bubble state data, where the fluid bubble state data includes bubble distribution density information, liquid-phase viscosity information, and gas-liquid interface tension information, and obtaining bubble anomaly information based on the fluid bubble state data, includes: Obtain fluid bubble state data, where the fluid bubble state data includes bubble distribution density information, liquid-phase viscosity information, and gas-liquid interface tension information; Respectively obtain corresponding bubble distribution density matrices, liquid-phase viscosity matrices, and gas-liquid interface tension matrices according to the bubble distribution density information, liquid-phase viscosity information, and gas-liquid interface tension information, and respectively obtain corresponding multiple bubble distribution density vectors, multiple liquid-phase viscosity vectors, and multiple gas-liquid interface tension vectors according to the bubble distribution density matrices, liquid-phase viscosity matrices, and gas-liquid interface tension matrices; Obtain the bubble state value based on multiple bubble distribution density vectors, multiple liquid phase viscosity vectors, and multiple gas-liquid interface tension vectors. The calculation formula for the bubble state value is , where Q represents the bubble state value, i represents the numbers of multiple bubble distribution density vectors, multiple liquid phase viscosity vectors, and multiple gas-liquid interface tension vectors, i = 1, 2, 3…n, G i represents the i-th bubble distribution density vector, N i represents the i-th liquid phase viscosity vector, L i represents the i-th gas-liquid interface tension vector; Obtain a bubble state threshold, and judge whether the bubble state value exceeds the bubble state threshold; If the bubble state value exceeds the bubble state threshold, determine that the bubble state is abnormal and mark it as bubble anomaly information; If the bubble state value does not exceed the bubble state threshold, determine that the bubble state is normal and mark it as bubble normal information.

2. The defoaming control method based on dynamic balance adjustment according to claim 1, wherein The step of obtaining the state parameters of the degassing container, where the state parameters of the degassing container include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtaining the degassing container compensation information based on the state parameters of the degassing container, includes: Obtain the state parameters of the degassing container, where the state parameters of the degassing container include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information; Respectively obtain corresponding pressure fluctuation frequency vectors, temperature field vectors, and mechanical disturbance frequency vectors according to the pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information; Obtain the state value of the degassing container according to the pressure fluctuation frequency vector, temperature field vector, and mechanical disturbance frequency vector; Obtain a degassing compensation table, where the degassing compensation table includes multiple degassing container state intervals and the degassing container compensation information corresponding to each degassing container state interval; Obtain the corresponding degassing container compensation information from the degassing compensation table according to the degassing container state interval corresponding to the degassing container state value.

3. The defoaming control method based on dynamic balance adjustment according to claim 1, wherein Steps to obtain a defoaming strategy based on bubble anomaly information and defoaming container compensation information and execute the defoaming strategy, including: Obtain the corresponding bubble status value according to the bubble anomaly information; Obtain the corresponding defoaming container status value according to the defoaming container compensation information; Obtain the initial strategy value according to the bubble status value and the defoaming container status value; Obtain the initial strategy table, where the initial strategy table includes multiple initial strategy intervals and the defoaming strategies corresponding to each initial strategy interval; Obtain the corresponding defoaming strategy from the initial strategy table according to the initial strategy interval corresponding to the initial strategy value.

4. The defoaming control method based on dynamic balance adjustment according to claim 1, characterized in that Steps to construct a verification period according to the defoaming strategy and obtain the bubble concentration change information after executing the defoaming strategy within the verification period, including: Construct a verification period according to the defoaming strategy; Obtain the bubble concentration change data after executing the defoaming strategy within the verification period, and obtain the bubble concentration change matrix according to the bubble concentration change data, and extract multiple bubble concentration change vectors from the bubble concentration change matrix; Obtain the corresponding bubble concentration change value according to the multiple bubble concentration change vectors; Obtain the bubble change table, where the bubble change table includes multiple bubble concentration change intervals and the bubble concentration change information corresponding to each bubble concentration change interval; Obtain the corresponding bubble concentration change information from the bubble change table according to the bubble concentration change interval corresponding to the bubble concentration change value.

5. The defoaming control method based on dynamic balance adjustment according to claim 4, characterized in that Steps to construct a verification period according to the defoaming strategy, including: Obtain the corresponding initial strategy value according to the defoaming strategy; Obtain the standard duration and the benchmark strategy value; Obtain the corresponding verification duration according to the initial strategy value, the benchmark strategy value and the standard duration; Obtain the time node for executing the defoaming strategy and mark it as the start time of the verification period; Obtain the end time of the verification period according to the verification duration and the start time of the verification period, and construct the verification period.

6. The defoaming control method based on dynamic balance adjustment according to claim 1, wherein Judge whether the bubble concentration change information meets the preset conditions. If not, obtain the bubble anomaly information and the defoaming container compensation information after executing the defoaming strategy, and combine the bubble concentration change information to obtain the verification defoaming strategy and execute the verification defoaming strategy. The steps include: Obtain the corresponding bubble concentration change value according to the bubble concentration change information; Obtain the bubble concentration change threshold; Judge whether the bubble concentration change value exceeds the bubble concentration change threshold; If the bubble concentration change value exceeds the bubble concentration change threshold, determine that the defoaming is abnormal, and obtain the bubble anomaly information and the defoaming container compensation information after executing the defoaming strategy, and mark them as the verification bubble anomaly information and the verification defoaming container compensation information respectively; If the bubble concentration change value does not exceed the bubble concentration change threshold, determine that the defoaming is stable; Obtain the verification defoaming strategy according to the verification bubble anomaly information, the verification defoaming container compensation information and the bubble concentration change information, and execute the verification defoaming strategy.

7. The defoaming control method based on dynamic balance adjustment according to claim 6, wherein Steps to obtain the verification defoaming strategy according to the verification bubble anomaly information, the verification defoaming container compensation information and the bubble concentration change information, and execute the verification defoaming strategy, including: Obtain the corresponding verification bubble status value, verification defoaming container status value and bubble concentration change value according to the verification bubble anomaly information, the verification defoaming container compensation information and the bubble concentration change information respectively; Obtain a calibration strategy value based on the calibration bubble status value, the calibration degassing container status value, and the bubble concentration change value; Obtain a calibration strategy table, where the calibration strategy table includes multiple calibration strategy intervals and the corresponding degassing strategies for each calibration strategy interval; Obtain the corresponding degassing strategy from the calibration strategy table according to the calibration strategy interval corresponding to the calibration strategy value, and execute the degassing strategy.

8. A defoaming control system based on dynamic balance adjustment, which is applied to the defoaming control method based on dynamic balance adjustment described in any one of claims 1 to 7, and is characterized in that, Include: A bubble status module for obtaining fluid bubble status data, where the fluid bubble status data includes bubble distribution density information, liquid phase viscosity information, and gas-liquid interface tension information, and obtaining bubble abnormality information according to the fluid bubble status data; A degassing container module for obtaining degassing container status parameters, where the degassing container status parameters include pressure fluctuation frequency information, temperature field information, and mechanical disturbance frequency information, and obtaining degassing container compensation information according to the degassing container status parameters; A degassing strategy module for obtaining a degassing strategy according to the bubble abnormality information and the degassing container compensation information, and executing the degassing strategy; A bubble concentration module for constructing a calibration period according to the degassing strategy and obtaining the bubble concentration change information after executing the degassing strategy within the calibration period; A calibration module for determining whether the bubble concentration change information meets a preset condition. If not, obtain the bubble abnormality information and the degassing container compensation information after executing the degassing strategy, and combine the bubble concentration change information to obtain a calibration degassing strategy, and execute the calibration degassing strategy; A feedback module for obtaining a new calibration period after executing the calibration degassing strategy, and re-determining the bubble concentration change information according to the new calibration period.

9. A defoaming control terminal based on dynamic balance adjustment, characterized in that, Include: One or more processors; A storage device storing one or more programs thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the degassing control method based on dynamic balance adjustment according to any one of claims 1 to 7.

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