Centralized preparation and automatic conveying system and method for polymerization additives

Abstract

The invention relates to the technical field of artificial intelligence, and discloses a polymerization additive centralized preparation and automatic conveying system and method.The system comprises an initial mixture obtaining module, a solvent optimization analysis module, a dynamic compensation calibration module, a solvent adjustment module and a quality control conveying decision module; obtaining an initial mixture; solvent optimization is carried out based on the deviation value of the initial mixture and the standard concentration product, and a solvent optimization proportion is obtained; performing dynamic ratio compensation analysis to obtain deviation configuration parameters; preparing an auxiliary mother solution according to the deviation configuration parameters, and performing solvent adjustment on the auxiliary mother solution and the initial mixture to obtain a target mixture; when the effective wave band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is smaller than a critical threshold value, starting a conveying pump to convey the target mixture to the polymerization reaction kettle through a special pipeline; the centralized preparation efficiency of the polymerization additive can be improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a centralized preparation and automatic delivery system and method for polymerization additives. Background Art

[0002] In the field of polymerization additive preparation and delivery, existing technologies often struggle to precisely control the coupling relationship between different components when handling polymer material ratios. This results in insufficient homogenization of the initial mixture, impacting the stability of subsequent polymerization reactions. Furthermore, traditional solvent addition relies heavily on empirical adjustments, failing to dynamically optimize based on real-time deviations between the initial mixture and the standard product. This results in low solvent ratio accuracy and, in turn, reduced polymerization additive preparation efficiency.

[0003] Furthermore, existing technologies lack efficient testing and feedback mechanisms in quality control. Prepared mixtures often undergo only simple concentration testing, making it difficult to accurately determine their consistency with the standard product through precise methods such as infrared spectroscopy. Furthermore, the lag in quality control results often leads to inappropriate timing of delivery decisions. This can lead to either premature delivery of substandard mixtures, impacting reaction performance, or excessive testing, delaying production. Overall, this hinders the continuity and efficiency of centralized preparation and delivery of polymerization additives. Summary of the Invention

[0004] The present invention provides a centralized preparation and automatic delivery system and method for polymerization aids, the main purpose of which is to solve the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention provides a centralized preparation and automatic delivery system for polymerization additives, characterized in that the system includes an initial mixture acquisition module, a solvent optimization and analysis module, a dynamic compensation calibration module, a solvent adjustment module, and a quality control and delivery decision module, wherein:

[0006] The initial mixture acquisition module is used to balance the polymer material ratio based on the implementation process of the polymerization aid to obtain the initial mixture of the polymerization aid;

[0007] The solvent optimization analysis module is used to optimize the solvent of the initial mixture based on the deviation value between the initial mixture and the standard concentration product in the implementation process to obtain the optimized solvent ratio of the initial mixture;

[0008] The dynamic compensation calibration module is used to perform dynamic ratio compensation analysis on the optimized solvent ratio to obtain the deviation configuration parameters of the initial mixture;

[0009] The solvent adjustment module is used to configure the auxiliary agent mother solution of the polymerization auxiliary agent according to the deviation configuration parameter, and perform solvent adjustment on the auxiliary agent mother solution and the initial mixture to obtain the target mixture of the polymerization auxiliary agent;

[0010] The quality control delivery decision module is used to start the delivery pump to deliver the target mixture to the polymerization reactor through a dedicated pipeline when the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than a critical threshold.

[0011] In a preferred embodiment, the initial mixture acquisition module is specifically used to:

[0012] Conducting component coupling analysis on the composition categories of the polymer material to obtain a ratio rule for the polymerization aid;

[0013] Topologically reconstructing the molecular chain structure of the polymer material based on the ratio rule to obtain a homogeneous prepolymer of the polymer material;

[0014] The homogeneous prepolymer is subjected to entropy flow balance to obtain an initial mixture of the polymerization aid.

[0015] In a preferred embodiment, the solvent optimization analysis module is specifically used to perform solvent optimization on the initial mixture based on the deviation value between the initial mixture and the standard concentration product in the implementation process to obtain the optimized solvent ratio of the initial mixture:

[0016] Performing real-time viscosity monitoring on the initial mixture to obtain real-time viscosity data of the initial mixture;

[0017] When the real-time viscosity data deviates from a viscosity threshold, feedback adjustment is performed on the solvent addition rate to obtain a dynamically optimized ratio of the initial mixture;

[0018] The initial mixture is subjected to a gradient osmotic response based on the dynamic optimization ratio to obtain the solvent optimization ratio of the initial mixture, wherein the solvent optimization ratio is calculated as follows:

[0019]

[0020] Where, Optimize the ratio of solvents, is the real-time viscosity deviation value, is the process coefficient, is the standard concentration threshold, is the solvent penetration efficiency, is the gradient compensation amount.

[0021] In a preferred embodiment, the solvent optimization analysis module is specifically configured to:

[0022] When the viscosity deviation value is positive, the initial mixture is subjected to viscosity reduction treatment using a low-polarity solvent;

[0023] When the viscosity deviation value is negative, a high-polarity solvent is used to reinforce the initial mixture.

[0024] In a preferred embodiment, when performing dynamic ratio compensation analysis on the optimized solvent ratio to obtain the deviation configuration parameters of the initial mixture, the dynamic compensation calibration module is specifically used to:

[0025] Deconstructing the time series characteristics of the solvent optimization ratio to obtain a ratio offset trajectory of the solvent optimization ratio;

[0026] Performing a stable interval logic comparison on the proportional offset trajectory to obtain a key compensation node of the proportional offset trajectory;

[0027] Compensation weights are configured for the key compensation nodes based on key compensation factors to obtain deviation configuration parameters of the initial mixture.

[0028] In a preferred embodiment, when the solvent adjustment module configures the polymerization aid mother solution according to the deviation configuration parameters and performs solvent adjustment on the mother solution and the initial mixture to obtain the target mixture of the polymerization aid, it is specifically configured to:

[0029] Performing vectorized analysis on the deviation configuration parameter to obtain a characteristic tensor of the deviation configuration parameter;

[0030] Co-mapping the characteristic tensor and the state characteristics of the initial mixture to obtain a dynamic coupling relationship of the polymerization aid;

[0031] The dynamic coupling relationship is converged and solidified based on a steady-state equilibrium point to obtain a target mixture of the polymerization aid.

[0032] In a preferred embodiment, when the solvent adjustment module performs collaborative mapping of the characteristic tensor and the state characteristics of the initial mixture to obtain the dynamic coupling relationship of the polymerization aid, it is specifically configured to:

[0033] Performing a nonlinear transformation on the characteristic tensor based on the state characteristics of the initial mixture to obtain a torque response spectrum of the polymerization aid;

[0034] performing a deviation comparison with a preset reference torque based on the torque response spectrum to obtain a torque deviation rate of the polymerization aid;

[0035] The torque deviation rate is subjected to a tolerance band convergence judgment to obtain a dynamic coupling relationship of the polymerization aid.

[0036] In a preferred embodiment, the quality control delivery decision module is specifically used to start the delivery pump to deliver the target mixture to the polymerization reactor through a dedicated pipeline when the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than a critical threshold:

[0037] Performing infrared spectroscopy scanning on a characteristic wavenumber range based on the target mixture to obtain absorption peak half-width data of the target mixture;

[0038] When the half-width of the absorption peak exceeds the standard peak shape range, performing peak shape calibration on the effective band intensity value to obtain a corrected intensity value of the target mixture;

[0039] Performing dynamic threshold detection on the correction intensity value and the critical threshold, and encoding the detection result as a start / stop instruction of the delivery pump;

[0040] When the corrected intensity value is less than the critical threshold, the delivery pump is started to deliver the target mixture to the polymerization reactor through a dedicated pipeline.

[0041] In a preferred embodiment, when the quality control delivery decision module performs dynamic threshold detection on the correction intensity value and the critical threshold and encodes the detection result as a start / stop instruction of the delivery pump, it is specifically configured to:

[0042] When the correction intensity value is greater than the critical threshold, a delivery pump stop instruction is triggered to obtain a stop control signal for the delivery pump;

[0043] When the correction intensity value is less than the critical threshold, a delivery pump start instruction is triggered to obtain a start control signal for the delivery pump.

[0044] In order to solve the above problems, the present invention also provides a method for centralized preparation and automatic delivery of polymerization aids, the method comprising:

[0045] S1. Based on the implementation process of the polymerization aid, the polymer material is balanced to obtain an initial mixture of the polymerization aid;

[0046] S2. Optimizing the solvent of the initial mixture based on the deviation between the initial mixture and the standard concentration product in the implementation process to obtain an optimized solvent ratio of the initial mixture;

[0047] S3. Dynamically compensate the ratio of the solvent to be optimized to obtain the deviation configuration parameters of the initial mixture;

[0048] S4. A mother solution of the polymerization aid is prepared according to the deviation configuration parameters, and the mother solution of the polymerization aid is solvent-adjusted with the initial mixture to obtain a target mixture of the polymerization aid;

[0049] S5. When the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than the critical threshold, start the delivery pump to deliver the target mixture to the polymerization reactor through a dedicated pipeline.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] 1. The present invention uses an initial mixture acquisition module to perform component coupling analysis and molecular chain structure topology reconstruction on polymer materials, combined with entropy flow balancing processing, to accurately obtain a homogenized initial mixture, thereby improving the stability of the basic ratio of the polymerization additive from the source, laying a reliable foundation for subsequent preparation links, and effectively improving the efficiency of the preliminary preparation of centralized preparation.

[0052] 2. The system dynamically calculates and adjusts solvent ratios through the solvent optimization and analysis module. Combined with the deviation parameter correction of the dynamic compensation calibration module, it can accurately configure the additive mother liquor and complete solvent adjustment. The quality control and delivery decision module uses infrared spectroscopy characteristic absorption peak comparison to perform strict quality control to ensure that the target mixture meets the standards and is delivered in a timely manner. The entire process is highly automated, and the coordinated operation of various modules significantly improves the efficiency of centralized preparation of polymerization additives and the accuracy of delivery. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 A system architecture diagram of a centralized preparation and automatic delivery system for polymerization aids provided in one embodiment of the present invention;

[0054] Figure 2 The present invention provides a flowchart of a method for centralized preparation and automatic delivery of polymerization aids according to an embodiment of the present invention.

[0055] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0056] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments belong to some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0057] The terms used in the embodiments of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The singular forms "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates otherwise, and "a plurality" generally includes at least two.

[0058] As used herein, the words “if” or “when” may be interpreted as “at the time of” or “when” or “in response to determining” or “in response to detecting,” depending on the context. Similarly, the phrases “if it is determined” or “if (stated condition or event) is detected” may be interpreted as “when it is determined” or “in response to the determination” or “when detecting (stated condition or event)” or “in response to detecting (stated condition or event),” depending on the context.

[0059] In addition, the step sequence in the following method embodiments is only an example and not a strict limitation.

[0060] In fact, the server-side device deployed by a centralized preparation and automatic delivery system for polymerization additives may be composed of one or more devices. The above-mentioned centralized preparation and automatic delivery system for polymerization additives can be implemented as: a business instance, a virtual machine, and a hardware device. For example, the centralized preparation and automatic delivery system for polymerization additives can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, the centralized preparation and automatic delivery system for polymerization additives can be understood as a software deployed on a cloud node, which is used to provide a centralized preparation and automatic delivery system for polymerization additives for each user terminal. Alternatively, the centralized preparation and automatic delivery system for polymerization additives can also be implemented as a virtual machine deployed on one or more devices in a cloud node. The virtual machine is installed with application software for managing each user terminal. Alternatively, the centralized preparation and automatic delivery system for polymerization additives can also be implemented as a server-side composed of many hardware devices of the same or different types, and one or more hardware devices are set up to provide a centralized preparation and automatic delivery system for polymerization additives for each user terminal.

[0061] In terms of implementation, a centralized polymerization agent preparation and automatic delivery system and a user terminal are mutually compatible. Specifically, if the centralized polymerization agent preparation and automatic delivery system is an application installed on a cloud service platform, the user terminal is a client that establishes a communication connection with the application; or if the centralized polymerization agent preparation and automatic delivery system is implemented as a website, the user terminal is implemented as a webpage; or if the centralized polymerization agent preparation and automatic delivery system is implemented as a cloud service platform, the user terminal is implemented as a mini-program within an instant messaging application.

[0062] like Figure 1 1 is a system architecture diagram of a centralized preparation and automatic delivery system for polymerization additives provided by one embodiment of the present invention.

[0063] The centralized polymerization additive preparation and automatic delivery system 100 described in the present invention can be installed in a cloud server. In terms of implementation, it can be implemented as one or more service devices, as an application installed in the cloud (e.g., a mobile service operator's server, server cluster, etc.), or developed as a website. Depending on the functionality implemented, the centralized polymerization additive preparation and automatic delivery system 100 can include an initial mixture acquisition module 101, a solvent optimization and analysis module 102, a dynamic compensation and calibration module 103, a solvent adjustment module 104, and a quality control and delivery decision module 105. The modules described in the present invention, also referred to as units, refer to a series of computer program segments that can be executed by an electronic device processor and perform fixed functions, and are stored in the electronic device's memory.

[0064] In an embodiment of the present invention, in a system for centralized preparation and automatic delivery of polymerization additives, each of the above modules can be independently implemented and called with other modules. The call here can be understood as a module that can connect to multiple modules of another type and provide corresponding services to the multiple modules connected to it. In a system for centralized preparation and automatic delivery of polymerization additives provided by an embodiment of the present invention, the scope of application of the architecture of a system for centralized preparation and automatic delivery of polymerization additives can be adjusted by adding modules and directly calling them without modifying the program code, thereby realizing cluster-type horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding a system for centralized preparation and automatic delivery of polymerization additives. In actual applications, the above modules can be set in the same device or different devices, or they can be set in virtual devices, such as service instances in cloud servers.

[0065] The following describes the various components and specific workflow of a centralized polymerization aid preparation and automatic delivery system in conjunction with specific embodiments:

[0066] The initial mixture acquisition module 101 is configured to proportionally balance the polymerization aid and the high polymer material based on an implementation process of the polymerization aid to obtain an initial mixture of the polymerization aid.

[0067] In the embodiment of the present application, when the initial mixture acquisition module is used to proportionally balance the polymerization aid and the high polymer material based on an implementation process of the polymerization aid to obtain an initial mixture of the polymerization aid, the initial mixture acquisition module is specifically configured to:

[0068] perform component coupling analysis on the composition categories of the high polymer material to obtain a proportioning rule of the polymerization aid;

[0069] perform topological reconstruction on the molecular chain structure of the high polymer material based on the proportioning rule to obtain a homogeneous prepolymer of the high polymer material;

[0070] perform entropy flow equalization on the homogeneous prepolymer to obtain the initial mixture of the polymerization aid.

[0071] Specifically, the component coupling analysis on the composition categories of the high polymer material is performed to obtain the proportioning rule of the polymerization aid, which specifically includes determining all the composition components contained in the high polymer material, clarifying the chemical properties, molecular structures and roles of each component in the material, analyzing the interaction modes between different components, and determining the proportion range of each composition component in the polymerization aid according to the strengths and characteristics of the interactions.

[0072] Further, the proportion range and the performance requirements are combined to form a set of clear and executable proportioning guidelines, which is the proportioning rule of the polymerization aid, while considering the expected performance requirements of the material.

[0073] Further, the topological reconstruction is performed on the molecular chain structure of the high polymer material based on the proportioning rule to obtain the homogeneous prepolymer of the high polymer material.

[0074] Further, the corresponding amount of high polymer material composition components is selected according to the proportion requirements of each component in the proportioning rule, and the components are placed in a specific reaction environment to promote the cross-linking, winding or grafting reactions between the molecular chains of different components by controlling the temperature, pressure and other conditions, so as to adjust the connection mode and spatial arrangement of the molecular chains, make the originally possible uneven molecular structure regular and uniform, and form a prepolymer with uniform structure and consistent performance of each part, which is the homogeneous prepolymer of the high polymer material.

[0075] Furthermore, the homogeneous prepolymer is subjected to entropy flow balancing to obtain the initial mixture of the polymerization aid. Specifically, the homogeneous prepolymer is placed in a closed system, the energy flow and molecular motion state in the system are monitored, and the diffusion and motion of the prepolymer molecules are promoted by adjusting the system parameters such as temperature and stirring speed, so that the entropy value in the system gradually reaches a equilibrium state, that is, the distribution and motion state of the molecules no longer change significantly. At this time, the energy distribution inside the prepolymer is uniform and the molecular arrangement is stable. The substance obtained after such treatment is the initial mixture of the polymerization aid.

[0076] In general, by analyzing the coupling of components of polymer materials, clarifying the ratio rules of polymerization additives, determining the interactions and adaptation ratios of different types of polymer materials, ensuring scientific mixing, providing a basis for ratio stability, reducing the quality problems of the initial mixture, and improving the stability and efficiency of the preparation.

[0077] In general, the topological structure of the molecular chain of the polymer material is reconstructed according to the ratio rules to obtain a homogeneous prepolymer, so that the molecular chains are regularly arranged and connected, avoiding local performance differences, ensuring the consistency of the prepolymer properties, providing a homogeneous basis for subsequent processing, and improving the quality stability and preparation efficiency of the initial mixture.

[0078] In general, the entropy flow balance of the homogeneous prepolymer is performed to obtain the initial mixture of the polymerization aid. The energy and molecular motion inside the prepolymer can be adjusted to reach a balanced state, thereby ensuring the overall stability and uniformity of the initial mixture, reducing the difficulty of adjustment during subsequent solvent optimization, and making it easier for the initial mixture to meet the standard concentration product requirements, thereby improving the efficiency of centralized preparation of polymerization aids.

[0079] The solvent optimization analysis module 102 is configured to optimize the solvent of the initial mixture based on the deviation between the initial mixture and the standard concentration product in the implemented process to obtain an optimized solvent ratio of the initial mixture;

[0080] In an embodiment of the present invention, when performing solvent optimization on the initial mixture based on the deviation value between the initial mixture and the standard concentration product in the implemented process to obtain the optimized solvent ratio of the initial mixture, the solvent optimization analysis module is specifically used to:

[0081] Performing real-time viscosity monitoring on the initial mixture to obtain real-time viscosity data of the initial mixture;

[0082] When the real-time viscosity data deviates from a viscosity threshold, feedback adjustment is performed on the solvent addition rate to obtain a dynamically optimized ratio of the initial mixture;

[0083] The initial mixture is subjected to a gradient osmotic response based on the dynamic optimization ratio to obtain the solvent optimization ratio of the initial mixture, wherein the solvent optimization ratio is calculated as follows:

[0084]

[0085] Where, Optimize the ratio of solvents, is the real-time viscosity deviation value, is the process coefficient, is the standard concentration threshold, is the solvent penetration efficiency, is the gradient compensation amount.

[0086] The solvent optimization analysis module is specifically used to perform feedback adjustment on the solvent addition rate when the real-time viscosity data deviates from the viscosity threshold to obtain the dynamic optimization ratio of the initial mixture:

[0087] When the viscosity deviation value is positive, the initial mixture is subjected to viscosity reduction treatment using a low-polarity solvent;

[0088] When the viscosity deviation value is negative, a high-polarity solvent is used to reinforce the initial mixture.

[0089] Specifically, the viscosity of the initial mixture is monitored in real time to obtain real-time viscosity data of the initial mixture. Specifically, the detection end of the viscosity monitoring instrument is continuously immersed in the initial mixture. While the mixture is stirred at a constant speed, the viscosity values ​​of the mixture are continuously collected at fixed time intervals. The time point and corresponding viscosity value of each collection are recorded to form a set of viscosity records that change with time. This set of records is the real-time viscosity data of the initial mixture.

[0090] Furthermore, when the real-time viscosity data deviates from the viscosity threshold, the solvent addition rate is feedback-adjusted to obtain the dynamic optimization ratio of the initial mixture. Specifically, the real-time viscosity data is continuously compared with the preset viscosity threshold. If the real-time viscosity is higher than the threshold, it means that the mixture is too thick and the solvent addition rate needs to be increased and the solvent injection amount needs to be accelerated; if the real-time viscosity is lower than the threshold, it means that the mixture is too thin and the solvent addition rate needs to be reduced and the solvent injection amount needs to be reduced. The solvent addition speed is adjusted through this real-time feedback so that the viscosity of the mixture gradually approaches the threshold. In this process, the proportional relationship between the amount of solvent added and the total amount of the initial mixture is recorded in real time. The ratio that changes with the adjustment process is the dynamic optimization ratio of the initial mixture.

[0091] Furthermore, a gradient osmotic response is performed on the initial mixture based on the dynamic optimization ratio to obtain the solvent optimization ratio of the initial mixture. Specifically, the ratio of the solvent to the initial mixture is determined according to the dynamic optimization ratio, and the solvent is gradually added to the initial mixture in stages and according to a concentration gradient. Stirring is maintained for a certain time in each stage, and the viscosity stability and uniformity of the mixture under different gradient solvents are observed. When the viscosity of the mixture at a certain gradient is stable within the threshold range and the overall texture is uniform and no longer changes significantly over time, the ratio of the solvent to the initial mixture at the gradient is recorded. This ratio is the solvent optimization ratio of the initial mixture.

[0092] Specifically, when the viscosity deviation value is positive, that is, the result of subtracting the viscosity threshold from the real-time viscosity data is a positive number, it indicates that the viscosity of the initial mixture is higher than the standard requirement. At this time, a low-polarity solvent with good compatibility with the basic components in the initial mixture is selected, and the low-polarity solvent is gradually added to the initial mixture according to a fixed small dose gradient. The mixture is immediately stirred evenly after each addition.

[0093] Furthermore, the real-time viscosity changes of the mixture are continuously monitored until the real-time viscosity data drops within the viscosity threshold range. During this process, the amount of low-polarity solvent added each time and the total amount of the initial mixture at the corresponding moment are recorded in real time. The ratio of the two changes dynamically with the addition process, forming a dynamically optimized ratio of the initial mixture.

[0094] Furthermore, when the viscosity deviation value is negative, that is, the result of subtracting the viscosity threshold from the real-time viscosity data is a negative number, indicating that the viscosity of the initial mixture is lower than the standard requirement, a high-polarity solvent that can enhance the intermolecular force in the initial mixture is selected, and the high-polarity solvent is gradually added to the initial mixture according to a fixed small-dose gradient. After each addition, the mixture is immediately stirred thoroughly to evenly disperse the solvent. At the same time, the real-time viscosity changes of the mixture are continuously monitored until the real-time viscosity data rises within the viscosity threshold range. During this process, the amount of high-polarity solvent added each time and the total amount of the initial mixture at the corresponding moment are recorded in real time. The ratio of the two is dynamically adjusted as the addition process progresses to form a dynamically optimized ratio of the initial mixture.

[0095] Specifically, It is the optimized ratio of solvent obtained by calculation. Its value is determined by other parameters in the formula and is used to express the best ratio of solvent to initial mixture. That is, the real-time viscosity deviation value, which is the result of subtracting the viscosity threshold from the real-time viscosity data. A positive value indicates that the real-time viscosity is higher than the threshold, and a negative value indicates that the real-time viscosity is lower than the threshold. This value comes from the comparison between the monitoring of the real-time viscosity of the initial mixture and the viscosity threshold. That is, the process coefficient, which is a fixed value pre-set according to the characteristics of the specific implementation process, such as temperature, pressure and other process conditions. Different processes correspond to different process coefficients. That is, the standard concentration threshold is the concentration standard value corresponding to the standard concentration product in the implementation process. This value comes from the preset process standard. That is, solvent penetration efficiency is a measure of the penetration speed and uniformity of the solvent in the initial mixture. It is obtained by monitoring the penetration process of the solvent in the initial mixture. The faster and more uniform the penetration, the larger the value. That is, the gradient compensation amount is a fixed value set to compensate for the deviation caused by different concentration gradients in the gradient osmotic response, and is determined according to the specific circumstances of the gradient division.

[0096] Furthermore, the significance of this formula is to comprehensively consider the real-time viscosity deviation, process conditions, standard concentration requirements, solvent penetration capacity and gradient compensation factors, and calculate the optimized solvent ratio that can make the initial mixture achieve the best solvent ratio, ensuring that after adding the solvent through this ratio, the viscosity of the initial mixture is stable within the threshold range and the concentration meets the standard requirements, providing a high-quality mixture foundation for subsequent processing.

[0097] Furthermore, when the real-time viscosity deviation value increases, the solvent optimization ratio will increase accordingly, because more solvent is needed to adjust the larger viscosity deviation; when the process coefficient increases, the solvent optimization ratio will increase, indicating that the influence of process conditions is enhanced and more solvents are needed to adapt to the process requirements; when the standard concentration threshold increases, the solvent optimization ratio will decrease, because a higher standard concentration requires a smaller solvent ratio; when the solvent penetration efficiency increases, the solvent optimization ratio will decrease, because the solvent penetration ability is strong, a smaller ratio can achieve the optimization effect; when the gradient compensation amount increases, the solvent optimization ratio will increase to compensate for the impact of gradient differences and ensure the accuracy of the optimization ratio.

[0098] In general, real-time viscosity monitoring of the initial mixture can obtain real-time viscosity data of the initial mixture, so as to grasp the viscosity change of the initial mixture in real time, promptly discover the deviation in viscosity between the initial mixture and the standard concentration product, and provide accurate real-time data support for subsequent solvent optimization, thereby avoiding untimely adjustments due to delayed viscosity information, ensuring the timeliness and pertinence of solvent optimization, and helping to improve the efficiency of polymerization additive preparation.

[0099] In general, when the real-time viscosity data deviates from the viscosity threshold, the solvent addition rate is feedback adjusted to obtain a dynamic optimization ratio of the initial mixture, and the speed of solvent addition can be adjusted in real time according to the specific situation of viscosity deviation, so that the amount of solvent addition matches the viscosity state of the initial mixture, the viscosity is quickly pulled back to a reasonable range, the state of the mixture is ensured to be close to the standard concentration product, invalid adjustment is reduced, and the accuracy and efficiency of solvent optimization are improved.

[0100] In general, the initial mixture is subjected to gradient permeation response based on the dynamic optimization ratio to obtain a solvent optimization ratio of the initial mixture, so that the solvent can gradually permeate into the initial mixture at an optimized ratio, the solvent and the mixture are ensured to be fully integrated, local uneven mixing caused by too fast or improper solvent addition is avoided, the solvent optimization ratio obtained finally is more in line with the requirements of the standard concentration product, and the efficiency and quality of the concentrated preparation of the polymerization aid are further improved.

[0101] In general, when the viscosity deviation value is positive, the initial mixture is subjected to viscosity reduction treatment by using a low-polarity solvent, the moderate compatibility of the low-polarity solvent with the high molecular material in the initial mixture is utilized, the intermolecular force is reduced through permeation and dispersion, the viscosity of the mixture is effectively reduced, the viscosity is quickly returned to the threshold range, the accuracy of subsequent solvent optimization is avoided from being affected by the high viscosity, the adjustment of the dynamic optimization ratio is ensured to be more accurate, and the pertinence and efficiency of solvent adjustment in the preparation process of the polymerization aid are improved.

[0102] In general, when the viscosity deviation value is negative, the initial mixture is subjected to reinforcement treatment by using a high-polarity solvent, the strong interaction of the high-polarity solvent with the molecular chain of the high molecular material is utilized, the intermolecular binding force is increased, the viscosity of the mixture is increased to the threshold range, the defect of low viscosity is made up, the dynamic optimization ratio is ensured to be adjusted based on a suitable viscosity basis, the proportioning deviation caused by insufficient viscosity is reduced, the effectiveness of solvent optimization is further enhanced, and the overall efficiency of the concentrated preparation of the polymerization aid is improved.

[0103] The dynamic compensation calibration module 103 is configured to perform dynamic proportioning compensation analysis on the solvent optimization ratio to obtain a deviation configuration parameter of the initial mixture.

[0104] In the embodiment of the present application, when the dynamic compensation calibration module performs dynamic proportioning compensation analysis on the solvent optimization ratio to obtain a deviation configuration parameter of the initial mixture, the dynamic compensation calibration module is specifically configured to:

[0105] perform time sequence feature deconstruction on the solvent optimization ratio to obtain a proportion offset trajectory of the solvent optimization ratio;

[0106] perform stable interval logic comparison on the proportion offset trajectory to obtain a key compensation node of the proportion offset trajectory.

[0107] Compensation weights are configured for the key compensation nodes based on key compensation factors to obtain deviation configuration parameters of the initial mixture.

[0108] Specifically, the time series characteristics of the solvent optimization ratio are deconstructed to obtain the proportional offset trajectory of the solvent optimization ratio. Specifically, the values ​​of the solvent optimization ratio are arranged in chronological order to form continuous time series data. The change amount and direction of the solvent optimization ratio between adjacent time points are analyzed segment by segment, and the amplitude and duration of each change are recorded. These change characteristics are matched with the time axis, and the values ​​of the solvent optimization ratio at each time point are connected with lines. The continuous curve formed is the proportional offset trajectory of the solvent optimization ratio, which fully reflects the offset change law of the solvent optimization ratio over time.

[0109] Furthermore, a stable interval logical comparison is performed on the proportional offset trajectory to obtain the key compensation nodes of the proportional offset trajectory. Specifically, a stable fluctuation interval of the solvent optimization ratio is pre-set, and each point on the proportional offset trajectory is compared one by one with the stable interval. When a point on the trajectory exceeds the stable interval, the time of the point and the corresponding solvent optimization ratio value are marked, and the degree of influence of these points exceeding the interval on the overall trajectory stability is analyzed, and the exceeding points with the greatest influence are screened out. These screened-out exceeding points are the key compensation nodes of the proportional offset trajectory.

[0110] Furthermore, the compensation weights of the key compensation nodes are configured based on the key compensation factors to obtain the deviation configuration parameters of the initial mixture. Specifically, the key compensation factors affecting the key compensation nodes are determined, including solvent volatility, ambient temperature fluctuations, etc. According to the degree of influence of each key compensation factor on the corresponding key compensation node, a corresponding compensation weight is assigned to each key compensation node. The greater the influence of the factor, the higher the corresponding node weight. The compensation weights of all key compensation nodes are arranged in chronological order and influence level to form a set of quantified parameters, which is the deviation configuration parameters of the initial mixture.

[0111] In general, by deconstructing the time series characteristics of the solvent optimization ratio and obtaining the proportion offset trajectory of the solvent optimization ratio, we can sort out the change pattern and offset trend of the solvent optimization ratio over time, clearly present the dynamic characteristics of the proportion fluctuation, and provide a comprehensive time series basis for the subsequent accurate identification of key nodes that need compensation, avoid missing important proportion offset information, lay the foundation for the determination of deviation configuration parameters, and help improve the targetedness of dynamic ratio compensation.

[0112] In general, a logical comparison of the stable interval of the proportional offset trajectory is performed to obtain the key compensation nodes of the proportional offset trajectory. By comparing with the stable interval, the key time points and proportion values ​​that deviate from the stable state and have a greater impact on the overall ratio can be accurately located, focusing on the positions that require key compensation, eliminating the interference of irrelevant offsets, ensuring that the compensation analysis is concentrated on the key links, and improving the accuracy of dynamic ratio compensation.

[0113] In general, the compensation weights of the key compensation nodes are configured based on the key compensation factors to obtain the deviation configuration parameters of the initial mixture. The influence of key compensation factors such as solvent volatility and environmental factors can be combined to assign reasonable compensation weights to each key compensation node, so that the deviation configuration parameters can fully reflect the compensation needs of each node, achieve targeted dynamic compensation, reduce ratio deviations, and thus improve the accuracy and efficiency of the polymerization additive preparation, providing reliable parameter support for subsequent solvent adjustments.

[0114] The solvent adjustment module 104 is configured to configure the polymerization aid mother solution according to the deviation configuration parameter, and perform solvent adjustment on the mother solution and the initial mixture to obtain the target mixture of the polymerization aid;

[0115] In an embodiment of the present invention, when the solvent adjustment module configures the polymerization aid mother solution according to the deviation configuration parameters and performs solvent adjustment on the auxiliary mother solution and the initial mixture to obtain the target mixture of the polymerization aid, it is specifically configured to:

[0116] Performing vectorized analysis on the deviation configuration parameter to obtain a characteristic tensor of the deviation configuration parameter;

[0117] Co-mapping the characteristic tensor and the state characteristics of the initial mixture to obtain a dynamic coupling relationship of the polymerization aid;

[0118] The dynamic coupling relationship is converged and solidified based on a steady-state equilibrium point to obtain a target mixture of the polymerization aid.

[0119] When the solvent adjustment module performs collaborative mapping of the characteristic tensor and the state characteristics of the initial mixture to obtain the dynamic coupling relationship of the polymerization aid, it is specifically used to:

[0120] Performing a nonlinear transformation on the characteristic tensor based on the state characteristics of the initial mixture to obtain a torque response spectrum of the polymerization aid;

[0121] performing a deviation comparison with a preset reference torque based on the torque response spectrum to obtain a torque deviation rate of the polymerization aid;

[0122] The torque deviation rate is subjected to a tolerance band convergence judgment to obtain a dynamic coupling relationship of the polymerization aid.

[0123] Specifically, the deviation configuration parameters are vectorized and analyzed to obtain the characteristic tensor of the deviation configuration parameters. Specifically, the numerical value of each compensation weight in the deviation configuration parameters and its corresponding influence dimension are extracted, and each parameter is converted into a vector, wherein each element of the vector corresponds to a characteristic attribute of the parameter. These vectors are then combined into a multidimensional array according to the association relationship between the parameters. Each dimension of the array reflects a different influence direction of the parameter. This multidimensional array is the characteristic tensor of the deviation configuration parameters.

[0124] Furthermore, the characteristic tensor and the state characteristics of the initial mixture are collaboratively mapped to obtain the dynamic coupling relationship of the polymerization aid. Specifically, the state characteristics of the initial mixture are first extracted, including quantifiable attributes such as viscosity, concentration, and uniformity. Each dimension of the characteristic tensor is matched one by one with the state characteristics of the initial mixture. It is analyzed how changes in the characteristic tensor cause changes in the state characteristics, and how the feedback of the state characteristics affects the characteristic tensor. The law and intensity of this interaction are recorded. The relationship network formed to describe the dynamic mutual influence between the two is the dynamic coupling relationship of the polymerization aid.

[0125] Furthermore, the dynamic coupling relationship is converged and solidified based on the steady-state equilibrium point to obtain the target mixture of the polymerization additive. Specifically, the steady-state equilibrium point is first determined, that is, the state condition under which the state characteristics of the initial mixture are stable within the standard range and no longer change with time, and the deviation configuration parameters corresponding to the characteristic tensor are adjusted according to the dynamic coupling relationship so that the state characteristics of the initial mixture gradually approach the steady-state equilibrium point. When the state characteristics reach the steady-state equilibrium point and remain stable, the adjustment is stopped. At this time, the mixture containing the additive mother liquor and the initial mixture is the target mixture of the polymerization additive.

[0126] Specifically, the characteristic tensor is nonlinearly transformed based on the state characteristics of the initial mixture to obtain the torque response spectrum of the polymerization aid. Specifically, the state characteristics of the initial mixture are first clarified, such as the current viscosity, concentration and molecular distribution uniformity, etc. These state characteristics are used as the basis for transformation, and each dimensional data in the characteristic tensor is adjusted. The adjustment method is determined according to the change law of the state characteristics.

[0127] For example, when the viscosity increases, the value of the dimension related to the amount of solvent added in the corresponding enhanced characteristic tensor is converted into a spectrum that can reflect the torque change of the polymerization additive during the stirring process after such nonlinear adjustment. The horizontal axis of the spectrum is time, and the vertical axis is the torque value. This spectrum is the torque response spectrum of the polymerization additive.

[0128] Further, the preset reference torque is compared with the torque response spectrum to obtain a torque deviation rate of the polymerization aid, specifically, actual torque values at different time points are extracted from the torque response spectrum, the actual torque values are compared with preset reference torque values one by one, a difference value between the actual torque at each time point and the reference torque is calculated, and then each difference value is divided by the reference torque to obtain a torque deviation proportion at each time point. The proportions are arranged in time sequence, and a sequence formed by reflecting the torque deviation degree changing with time is the torque deviation rate of the polymerization aid.

[0129] Further, tolerance band convergence determination is performed on the torque deviation rate to obtain a dynamic coupling relationship of the polymerization aid, specifically, a tolerance band range of the torque deviation rate, i.e., an upper limit and a lower limit of the allowed deviation, is preset, each value in the torque deviation rate is compared with the tolerance band, time intervals in which the deviation rate is within and exceeds the tolerance band are recorded, interaction modes between the characteristic tensor and the initial mixture state feature during convergence of the deviation rate to the tolerance band are analyzed, and influence relationships between the two when the deviation rate exceeds the tolerance band are analyzed. The interaction and influence relationship are sorted and summarized, and a rule set describing the dynamic correlation between the characteristic tensor and the initial mixture state feature is the dynamic coupling relationship of the polymerization aid.

[0130] In summary, the deviation configuration parameters are vectorized and analyzed to obtain the characteristic tensor of the deviation configuration parameters, which can convert the dispersed deviation configuration parameters into a structured multi-dimensional data form, integrate the feature attributes and influence dimensions of each parameter, provide a unified data basis for subsequent correlation analysis with the initial mixture state feature, ensure the integrity and operability of the parameter information, provide data support for precise configuration of the aid mother liquor, and help improve the scientificity of solvent adjustment.

[0131] In summary, the characteristic tensor and the state feature of the initial mixture are cooperatively mapped to obtain the dynamic coupling relationship of the polymerization aid, which can establish a dynamic correlation between the deviation configuration parameters and the initial mixture state (such as viscosity, concentration, etc.), clearly present the rules and strength of the interaction between the two, and clearly present the adaptation relationship between the aid mother liquor and the initial mixture, avoid adjustment deviation caused by disconnection between the parameters and the state, and improve the pertinence of solvent adjustment.

[0132] In summary, the dynamic coupling relationship is converged and solidified based on the steady-state equilibrium point to obtain the target mixture of the polymerization aid, which can guide the dynamic coupling relationship to converge to the steady-state equilibrium point, so that the aid mother liquor and the initial mixture are fully fused and reach a stable state, ensure that the performance indicators of the target mixture meet the standard concentration product requirements, reduce the adjustment cost of the subsequent quality control link, improve the stability and efficiency of the polymerization aid preparation, and lay a foundation for high-quality mixture for precise delivery.

[0133] In general, the characteristic tensor is nonlinearly transformed based on the state characteristics of the initial mixture to obtain the torque response spectrum of the polymerization aid. The characteristic tensor of the deviation configuration parameters can be associated with the state characteristics of the initial mixture through nonlinear transformation, and converted into a graph reflecting the torque changes during the stirring process, intuitively presenting the dynamic characteristics of the torque under the interaction between the two, providing a concrete torque basis for subsequent deviation analysis, enhancing the analyzability of characteristic association, and helping to accurately capture the dynamic coupling relationship.

[0134] In general, the torque deviation rate of the polymerization aid is obtained by comparing the deviation of the preset reference torque based on the torque response spectrum. By comparing the difference between the actual torque and the reference torque, the degree of deviation between the two can be quantified, and the torque deviation when the initial mixture state interacts with the deviation configuration parameters can be clarified. This provides a quantitative indicator for judging the rationality of the dynamic coupling relationship, avoids the deviation of subjective judgment, and improves the objectivity of the coupling relationship analysis.

[0135] In general, the torque deviation rate is subjected to a tolerance band convergence judgment to obtain the dynamic coupling relationship of the polymerization additive. The stable torque deviation state can be screened out through the preset tolerance band range, and the torque deviation law that converges within the tolerance band is summarized as a dynamic association rule between the characteristic tensor and the initial mixture state characteristics, ensuring that the obtained dynamic coupling relationship is stable and reliable, providing a clear association basis for the subsequent convergence and solidification of the dynamic relationship into a target mixture, thereby improving the accuracy and efficiency of the polymerization additive preparation.

[0136] The quality control delivery decision module 105 is used to start the delivery pump to deliver the target mixture to the polymerization reactor through a dedicated pipeline when the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than a critical threshold.

[0137] In an embodiment of the present invention, when the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than a critical threshold, the quality control delivery decision module starts the delivery pump to deliver the target mixture to the polymerization reactor through a dedicated pipeline, specifically for:

[0138] Performing infrared spectroscopy scanning on a characteristic wavenumber range based on the target mixture to obtain absorption peak half-width data of the target mixture;

[0139] When the half-width of the absorption peak exceeds the standard peak shape range, performing peak shape calibration on the effective band intensity value to obtain a corrected intensity value of the target mixture;

[0140] Performing dynamic threshold detection on the correction intensity value and the critical threshold, and encoding the detection result as a start / stop instruction of the delivery pump;

[0141] When the corrected intensity value is less than the critical threshold, the delivery pump is started to deliver the target mixture to the polymerization reactor through a dedicated pipeline.

[0142] When the quality control delivery decision module performs dynamic threshold detection on the correction intensity value and the critical threshold and encodes the detection result as a start / stop instruction of the delivery pump, it is specifically used to:

[0143] When the correction intensity value is greater than the critical threshold, a delivery pump stop instruction is triggered to obtain a stop control signal for the delivery pump;

[0144] When the correction intensity value is less than the critical threshold, a delivery pump start instruction is triggered to obtain a start control signal for the delivery pump.

[0145] Specifically, an infrared spectrum scan is performed on a characteristic wavenumber range based on the target mixture to obtain the absorption peak half-width data of the target mixture. Specifically, the target mixture is placed in a sample cell of an infrared spectrometer, and a characteristic wavenumber range corresponding to the characteristic absorption peak of the infrared spectrum of the standard concentration product is set. The infrared spectrometer is started to scan the target mixture within the range, and the absorption intensity at different wavenumbers is recorded during the scanning process. The peak position of each characteristic absorption peak is determined according to the scanning results, and the wavenumber difference between the absorption intensity on both sides of each peak is half of the peak is measured. This difference is the absorption peak half-width data of the target mixture.

[0146] Furthermore, when the half-width data of the absorption peak exceeds the standard peak shape range, the peak shape calibration is performed on the effective band intensity value to obtain the corrected intensity value of the target mixture. Specifically, the half-width data of the absorption peak is compared with the preset standard peak shape range. If it exceeds the range, it indicates that the peak shape is distorted. At this time, the half-width data within the standard peak shape range is selected as the benchmark, and the absorption intensity value within the effective band is adjusted according to the degree of distortion. For the case of peak broadening, the intensity value of the corresponding band is proportionally reduced. For the case of peak narrowing, the intensity value of the corresponding band is proportionally increased. The intensity value obtained after such adjustment is the corrected intensity value of the target mixture.

[0147] Furthermore, dynamic threshold detection is performed on the correction intensity value and the critical threshold, and the detection result is encoded as the start and stop instruction of the delivery pump. Specifically, the change of the correction intensity value is continuously monitored, and the correction intensity value at each moment is compared with the critical threshold. If the correction intensity value is greater than or equal to the critical threshold, an instruction code indicating stopping delivery is generated; if the correction intensity value is less than the critical threshold, an instruction code indicating starting delivery is generated. These instruction codes will be converted into electrical signals that can be recognized by the delivery pump to form the start and stop instructions of the delivery pump.

[0148] Furthermore, when the correction intensity value is less than the critical threshold, the delivery pump is started to deliver the target mixture to the polymerization reactor through a dedicated pipeline. Specifically, when the dynamic threshold detection determines that the correction intensity value is less than the critical threshold, the corresponding start instruction is transmitted to the control system of the delivery pump, and the control system triggers the start-up program of the delivery pump. The delivery pump starts to run and extracts the target mixture from the storage container through a dedicated pipeline and delivers it to the polymerization reactor along the pipeline. After the target mixture is completely delivered, the delivery pump automatically stops running.

[0149] Specifically, when the correction intensity value is greater than the critical threshold, the delivery pump stop instruction is triggered, and the delivery pump stop control signal is obtained. Specifically, the real-time obtained correction intensity value is compared with the critical threshold. If the value of the correction intensity value is greater than the value of the critical threshold, it indicates that the infrared spectrum characteristics of the target mixture do not meet the delivery standard. At this time, the logic judgment unit inside the system will generate an instruction signal indicating to stop delivery. The instruction signal is converted into an electrical signal recognizable by the delivery pump motor through the signal conversion module. This electrical signal will cut off the power circuit of the delivery pump motor and stop the delivery pump. The electrical signal used to control the stop of the delivery pump is the stop control signal of the delivery pump.

[0150] Furthermore, when the correction intensity value is less than the critical threshold, the delivery pump start instruction is triggered to obtain the delivery pump start control signal. Specifically, the real-time acquired correction intensity value is compared with the critical threshold. If the value of the correction intensity value is less than the value of the critical threshold, it indicates that the infrared spectrum characteristics of the target mixture meet the delivery standards. At this time, the logic judgment unit inside the system will generate an instruction signal indicating the start of delivery. The instruction signal is converted into an electrical signal recognizable by the delivery pump motor through the signal conversion module. This electrical signal will connect the power circuit of the delivery pump motor to start the delivery pump. This electrical signal used to control the start of the delivery pump is the delivery pump start control signal.

[0151] In summary, based on the target mixture, the infrared spectrum scanning is performed on the characteristic wave number range, the absorption peak half width data of the target mixture is obtained, the absorption peak shape characteristics of the target mixture at the characteristic wave number can be accurately captured by the infrared spectrum technology, the half width data can reflect the width of the absorption peak, and the peak shape basis for judging the consistency of the mixture and the standard concentration product is provided, the preliminary quality control of the target mixture is realized from the spectrum level, the data foundation is laid for subsequent accurate calibration and delivery decision, and the scientific nature of quality control is improved.

[0152] In summary, when the absorption peak half width data is out of the standard peak shape range, the peak shape calibration is performed on the effective waveband intensity value, the correction intensity value of the target mixture is obtained, the intensity value can be corrected for peak shape distortion, the intensity value deviation caused by peak shape anomaly is eliminated, the difference between the target mixture and the standard concentration product in the effective waveband is more truly reflected by the corrected intensity value, the quality control misjudgment caused by the peak shape problem is avoided, the accuracy of intensity value comparison is improved, and the reliability of quality control result is ensured.

[0153] In summary, the dynamic threshold detection is performed on the correction intensity value and the critical threshold value, the detection result is encoded as the start-stop instruction of the delivery pump, the relationship between the correction intensity value and the critical threshold value can be monitored in real time, the detection result is converted into an executable instruction of the delivery pump, the automatic conversion of quality control result to delivery action is realized, the manual intervention link is reduced, the response speed from quality control to delivery is improved, and the timeliness and accuracy of delivery decision are ensured.

[0154] In summary, when the correction intensity value is less than the critical threshold value, the delivery pump is started to deliver the target mixture to the polymerization reactor through a special pipeline, the delivery can be started in time when the target mixture meets the requirements of the standard concentration product, qualified target mixture can be quickly fed into the next production link, and the production progress is not affected by the retention of qualified materials, the safety and efficiency of the delivery process are ensured through special pipeline delivery, and the overall efficiency of the whole process from preparation to delivery of the polymerization aid is improved.

[0155] In summary, when the correction intensity value is greater than the critical threshold value, the delivery pump stop instruction is triggered, and the stop control signal of the delivery pump is obtained, when the infrared spectrum characteristics of the target mixture are greatly different from those of the standard concentration product and do not meet the requirements, the delivery is stopped in time, the unqualified target mixture is prevented from entering the polymerization reactor to affect the quality of subsequent reaction, the material qualification is strictly controlled from the end of quality control, the production loss caused by the delivery of unqualified materials is reduced, and the stability of the polymerization reaction is ensured.

[0156] In general, when the correction intensity value is less than the critical threshold, the delivery pump start instruction is triggered, and the delivery pump start control signal is obtained. When the target mixture meets the infrared spectrum characteristic requirements of the standard concentration product, the delivery process can be started immediately to ensure that qualified materials enter the polymerization reactor in a timely manner, avoid production delays caused by the retention of qualified materials, improve the timeliness and efficiency of material delivery, and make the preparation and delivery of polymerization additives smoothly connected, thereby improving the continuity and efficiency of the production process as a whole.

[0157] Reference Figure 2 FIG. 1 is a flow chart of a method for centralized preparation and automatic delivery of polymerization aids according to an embodiment of the present invention. In this embodiment, the method for centralized preparation and automatic delivery of polymerization aids includes:

[0158] S1. Based on the implementation process of the polymerization aid, the polymer material is balanced to obtain an initial mixture of the polymerization aid;

[0159] S2. Optimizing the solvent of the initial mixture based on the deviation between the initial mixture and the standard concentration product in the implementation process to obtain an optimized solvent ratio of the initial mixture;

[0160] S3. Dynamically compensate the ratio of the solvent to be optimized to obtain the deviation configuration parameters of the initial mixture;

[0161] S4. A mother solution of the polymerization aid is prepared according to the deviation configuration parameters, and the mother solution of the polymerization aid is solvent-adjusted with the initial mixture to obtain a target mixture of the polymerization aid;

[0162] S5. When the effective band intensity values ​​of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product are less than a critical threshold value, starting a delivery pump to deliver the target mixture to the polymerization reaction kettle via a dedicated pipeline. It will be apparent to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0163] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence refers to the theories, methods, technologies, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to achieve optimal results.

[0164] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A centralized preparation and automatic delivery system for polymerization aids, characterized in that: The system includes an initial mixture acquisition module, a solvent optimization analysis module, a dynamic compensation calibration module, a solvent adjustment module, and a quality control delivery decision module, wherein: The initial mixture acquisition module is used to balance the polymer material ratio based on the implementation process of the polymerization aid to obtain the initial mixture of the polymerization aid; The solvent optimization analysis module is used to optimize the solvent of the initial mixture based on the deviation value between the initial mixture and the standard concentration product in the implementation process to obtain the optimized solvent ratio of the initial mixture; The dynamic compensation calibration module is used to perform dynamic ratio compensation analysis on the optimized solvent ratio to obtain the deviation configuration parameters of the initial mixture; The solvent adjustment module is used to configure the auxiliary agent mother solution of the polymerization auxiliary agent according to the deviation configuration parameter, and perform solvent adjustment on the auxiliary agent mother solution and the initial mixture to obtain the target mixture of the polymerization auxiliary agent; The quality control delivery decision module is used to start the delivery pump to deliver the target mixture to the polymerization reactor through a dedicated pipeline when the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than a critical threshold.

2. A centralized preparation and automatic delivery system for polymerization aids according to claim 1, characterized in that: When the initial mixture acquisition module performs a polymerization aid-based implementation process to balance the polymer material ratio to obtain the initial mixture of the polymerization aid, it is specifically used to: Conducting component coupling analysis on the composition categories of the polymer material to obtain a ratio rule for the polymerization aid; Topologically reconstructing the molecular chain structure of the polymer material based on the ratio rule to obtain a homogeneous prepolymer of the polymer material; The homogeneous prepolymer is subjected to entropy flow balance to obtain an initial mixture of the polymerization aid.

3. A centralized preparation and automatic delivery system for polymerization aids according to claim 1, characterized in that: When the solvent optimization analysis module performs solvent optimization on the initial mixture based on the deviation value between the initial mixture and the standard concentration product in the implemented process to obtain the optimized solvent ratio of the initial mixture, it is specifically used to: Performing real-time viscosity monitoring on the initial mixture to obtain real-time viscosity data of the initial mixture; When the real-time viscosity data deviates from a viscosity threshold, feedback adjustment is performed on the solvent addition rate to obtain a dynamically optimized ratio of the initial mixture; The initial mixture is subjected to a gradient osmotic response based on the dynamic optimization ratio to obtain the solvent optimization ratio of the initial mixture, wherein the solvent optimization ratio is calculated as follows: ； Where, Optimize the ratio of solvents, is the real-time viscosity deviation value, is the process coefficient, is the standard concentration threshold, is the solvent penetration efficiency, is the gradient compensation amount.

4. A centralized preparation and automatic delivery system for polymerization aids according to claim 3, characterized in that: The solvent optimization analysis module is specifically used to perform feedback adjustment on the solvent addition rate when the real-time viscosity data deviates from the viscosity threshold to obtain the dynamic optimization ratio of the initial mixture: When the viscosity deviation value is positive, the initial mixture is subjected to viscosity reduction treatment using a low-polarity solvent; When the viscosity deviation value is negative, a high-polarity solvent is used to reinforce the initial mixture.

5. The centralized preparation and automatic delivery system for polymerization aids according to claim 1, characterized in that: When the dynamic compensation calibration module performs dynamic ratio compensation analysis on the optimized solvent ratio to obtain the deviation configuration parameters of the initial mixture, it is specifically used to: Deconstructing the time series characteristics of the solvent optimization ratio to obtain a ratio offset trajectory of the solvent optimization ratio; Performing a stable interval logic comparison on the proportional offset trajectory to obtain a key compensation node of the proportional offset trajectory; Compensation weights are configured for the key compensation nodes based on key compensation factors to obtain deviation configuration parameters of the initial mixture.

6. The centralized preparation and automatic delivery system for polymerization aids according to claim 1, characterized in that: When the solvent adjustment module configures the polymerization aid mother solution according to the deviation configuration parameters and performs solvent adjustment on the polymerization aid mother solution and the initial mixture to obtain the target polymerization aid mixture, the solvent adjustment module is specifically configured to: Performing vectorized analysis on the deviation configuration parameter to obtain a characteristic tensor of the deviation configuration parameter; Co-mapping the characteristic tensor and the state characteristics of the initial mixture to obtain a dynamic coupling relationship of the polymerization aid; The dynamic coupling relationship is converged and solidified based on a steady-state equilibrium point to obtain a target mixture of the polymerization aid.

7. A centralized preparation and automatic delivery system for polymerization aids according to claim 6, characterized in that: When the solvent adjustment module performs collaborative mapping of the characteristic tensor and the state characteristics of the initial mixture to obtain the dynamic coupling relationship of the polymerization aid, it is specifically used to: Performing a nonlinear transformation on the characteristic tensor based on the state characteristics of the initial mixture to obtain a torque response spectrum of the polymerization aid; performing a deviation comparison with a preset reference torque based on the torque response spectrum to obtain a torque deviation rate of the polymerization aid; The torque deviation rate is subjected to a tolerance band convergence judgment to obtain a dynamic coupling relationship of the polymerization aid.

8. The centralized preparation and automatic delivery system for polymerization aids according to claim 1, characterized in that: The quality control delivery decision module is specifically used to start the delivery pump to deliver the target mixture to the polymerization reactor through the dedicated pipeline when the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than a critical threshold: Performing infrared spectroscopy scanning on a characteristic wavenumber range based on the target mixture to obtain absorption peak half-width data of the target mixture; When the half-width of the absorption peak exceeds the standard peak shape range, performing peak shape calibration on the effective band intensity value to obtain a corrected intensity value of the target mixture; Performing dynamic threshold detection on the correction intensity value and the critical threshold, and encoding the detection result as a start / stop instruction of the delivery pump; When the corrected intensity value is less than the critical threshold, the delivery pump is started to deliver the target mixture to the polymerization reactor through a dedicated pipeline.

9. A centralized preparation and automatic delivery system for polymerization aids according to claim 8, characterized in that: When the quality control delivery decision module performs dynamic threshold detection on the correction intensity value and the critical threshold and encodes the detection result as a start / stop instruction of the delivery pump, it is specifically used to: When the correction intensity value is greater than the critical threshold, a delivery pump stop instruction is triggered to obtain a stop control signal for the delivery pump; When the correction intensity value is less than the critical threshold, a delivery pump start instruction is triggered to obtain a start control signal for the delivery pump.

10. A method for centralized preparation and automatic delivery of polymerization aids, characterized in that: The method comprises: S1. Based on the implementation process of the polymerization aid, the polymer material is balanced to obtain an initial mixture of the polymerization aid; S2. Optimizing the solvent of the initial mixture based on the deviation between the initial mixture and the standard concentration product in the implementation process to obtain an optimized solvent ratio of the initial mixture; S3. Dynamically compensate the ratio of the solvent to be optimized to obtain the deviation configuration parameters of the initial mixture; S4. A mother solution of the polymerization aid is prepared according to the deviation configuration parameters, and the mother solution of the polymerization aid is solvent-adjusted with the initial mixture to obtain a target mixture of the polymerization aid; S5. When the effective band intensity value of the infrared spectrum characteristic absorption peak of the target mixture and the infrared spectrum characteristic absorption peak of the standard concentration product is less than the critical threshold, start the delivery pump to deliver the target mixture to the polymerization reactor through a dedicated pipeline.

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