Intelligent distribution and adjustment method and system for cooling water of polymerizer

Abstract

The application discloses a kind of polymerizer cooling water intelligent distribution regulation method and system.The method first obtains the parameter of current polymerization reactor;Monomer feeding amount of current polymerization reactor is input into real-time heat release model, and the maximum heat load in current polymerization reactor is obtained;Determine the advanced control total regulation coefficient based on the maximum heat load in current polymerization reactor and the temperature measurement value in kettle, and establish advanced control model;The control of each cooling water pipeline regulating valve in polymerization kettle is realized by the advanced control model, and the intelligent distribution regulation of current polymerization reactor cooling water is realized.The present application realizes accurate distribution and control to cooling water, so that the temperature of polymerization kettle production whole process is stably controlled within the range of process requirement, and the problem of quality fluctuation and production limitation caused by unreasonable cooling water distribution is solved.

Description

Technical Field

[0001] This invention relates to the field of temperature control technology for polymerization reactors, and in particular to a method and system for intelligent distribution and regulation of cooling water in polymerization reactors. Background Technology

[0002] With the rapid development of the domestic chemical industry, the reaction temperature in the polymerization reactor is the most important process parameter in the polymerization process. Its control accuracy and dynamic quality are closely related to the quality of the product and production safety. Its temperature control accuracy directly affects the stability and safety of the polymerization reactor system.

[0003] In actual field operations, temperature control of the polymerization reactor is generally achieved through manual operation or single-loop PID control. Based on the temperature inside the polymerization reactor, the cooling water in the jacket and the cooling water in the internal cooling pipe are controlled separately. Two independent PID controllers are used, with a simultaneous temperature setpoint, and the PID parameters are adjusted according to the actual situation.

[0004] However, existing temperature control systems for polymerization reactors have the following problems:

[0005] (1) In actual field, the temperature control of the polymerization reactor is generally carried out by manual operation or single-loop PID control, which has the problems of insufficient temperature control accuracy and excessive change of control variables.

[0006] (2) The different PID loop control of each cooling water leads to excessive deviation in the flow rate of each cooling water, resulting in excessive cooling water consumption and unreasonable temperature field distribution in the polymerization reactor, which in turn leads to excessive fluctuation range in product quality.

[0007] (3) The unreasonable distribution of cooling water has made cooling water a bottleneck in production output. Summary of the Invention

[0008] Based on this, the embodiments of this application provide a method and system for intelligent distribution and regulation of cooling water in a polymerization reactor. By achieving precise distribution and control of cooling water, the temperature of the polymerization reactor is stably controlled within the process requirements throughout the entire production process, and the problems of quality fluctuations and limited output caused by unreasonable distribution of cooling water are solved.

[0009] Firstly, a method for intelligent distribution and regulation of cooling water in a polymerization reactor is provided, the method comprising:

[0010] Obtain the parameters of the current polymerization reactor reaction; wherein, the parameters include at least the measured value of the reactor temperature and the monomer feed rate;

[0011] Input the current monomer feed rate in the polymerization reactor into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction;

[0012] Based on the maximum heat load and measured temperature inside the polymerization reactor, the overall regulation coefficient of the advanced control system is determined, and an advanced control model is established.

[0013] The advanced control model is used to control the regulating valves of each cooling water pipeline in the polymerization reactor, thereby achieving intelligent distribution and regulation of the cooling water for the current polymerization reactor reaction.

[0014] Optionally, the monomer feed rate of the current polymerization reactor is input into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction, including:

[0015] The total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate in the polymerization reactor.

[0016] After calculating the average heat load, the heat load distribution index is derived through data regression, thereby determining the maximum heat load in the current polymerization reactor reaction.

[0017] Optionally, the total polymerization heat load of the polymerization reactor is determined based on the current monomer feed rate in the polymerization reactor, including:

[0018] The total polymerization heat load of the current polymerization reactor reaction is determined by a first formula, which specifically includes:

[0019] ∑Q=Δr×H×G×C

[0020] Where G is the monomer feed rate, C is the final conversion rate, Δr is the heat of polymerization, and H is the current enthalpy of the material.

[0021] Optionally, the total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate in the polymerization reactor, including:

[0022] The average heat load of the current polymerization reactor reaction is determined by a second formula, which specifically includes:

[0023]

[0024] Where ∑Q is the total polymerization heat load of the current polymerization reactor, and t is the reaction time.

[0025] Optionally, the maximum heat load in the current polymerization reactor reaction can be determined by regressing the heat load distribution index from the data, including:

[0026] The maximum heat load is determined by a third formula, which specifically includes:

[0027]

[0028] Among them, Q max R represents the maximum heat load of the current polymerization reactor reaction, and R is the heat load distribution index. The average heat load of the current polymerization reactor reaction.

[0029] Optionally, the overall advanced control regulation coefficient is determined based on the maximum heat load and measured temperature inside the polymerization reactor, including:

[0030] Through Q max / Q determines the overall adjustment coefficient of the advanced control system; where Q represents the current real-time heat load of the polymerization reactor.

[0031] Optionally, the advanced control model is used to control the regulating valves of each cooling water pipe in the polymerization reactor, including:

[0032] Control all jacketed water pipes and internal cooling water pipes in the polymerization reactor.

[0033] Optionally, the advanced control model is used to control the regulating valves of each cooling water pipe in the polymerization reactor, thereby achieving intelligent distribution and regulation of the current polymerization reactor reaction cooling water, including:

[0034] The self-optimizing algorithm is used for control optimization. Specifically, the optimization increment of the internal cooling pipe cooling water flow rate is selected as the optimization step size. The optimization objective function is the current total cooling water volume, and the downward trend of the optimization objective function is taken as the optimization target direction. The stability of temperature control is used as a constraint condition. An appropriate optimization step size is selected in the optimization process. After the single-step optimization result is judged, it is determined whether to continue adjusting the cooling water flow rate in the current direction. Finally, the optimization stops when the total cooling water volume is minimized under the current operating conditions. After the interval time is satisfied, another stage of optimization begins.

[0035] Secondly, a smart distribution and regulation system for cooling water in a polymerization reactor is provided, the system comprising:

[0036] The acquisition module is used to acquire the parameters of the current polymerization reactor reaction; the parameters include at least the measured value of the reactor temperature and the monomer feed rate;

[0037] The first processing module is used to input the current monomer feed rate of the polymerization reactor into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction.

[0038] The second processing module determines the overall adjustment coefficient of the advanced control based on the maximum heat load and the measured temperature inside the polymerization reactor, and establishes an advanced control model.

[0039] The adjustment module is used to control the regulating valves of each cooling water pipeline in the polymerization reactor through the advanced control model, so as to realize the intelligent distribution and adjustment of the cooling water in the current polymerization reactor reaction.

[0040] Optionally, the first processing module includes:

[0041] The total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate in the polymerization reactor.

[0042] After calculating the average heat load, the heat load distribution index is derived through data regression, thereby determining the maximum heat load in the current polymerization reactor reaction.

[0043] The technical solution provided in this application first obtains the parameters of the current polymerization reactor reaction; inputs the monomer feed rate of the current polymerization reactor reaction into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction; determines the advanced control overall adjustment coefficient based on the maximum heat load of the current polymerization reactor reaction and the measured temperature inside the reactor, and establishes an advanced control model; and controls the regulating valves of each cooling water pipeline in the polymerization reactor through the advanced control model to realize the intelligent distribution and adjustment of the cooling water in the current polymerization reactor reaction.

[0044] The beneficial effects of the technical solutions provided in this application include at least the following:

[0045] (1) It solves the problem that the control accuracy of the single-loop PID control of cooling water in the temperature control of the polymerization reactor varies too much at different stages, and cannot meet the process requirements at a certain stage.

[0046] (2) It solved the problem of unreasonable temperature field distribution and reduced production caused by uneven distribution of cooling water in the jacket and internal cooling pipe of the polymerization reactor. Attached Figure Description

[0047] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0048] Figure 1 A schematic diagram of a polymerization reactor cooling water process is provided for an embodiment of this application;

[0049] Figure 2 A flowchart of the intelligent distribution and adjustment method for cooling water in a polymerization reactor provided in this application embodiment;

[0050] Figure 3 A schematic diagram of the prior control model provided in the embodiments of this application;

[0051] Figure 4 A block diagram illustrating the engineering implementation of self-optimization provided in the embodiments of this application. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0053] In the description of this invention, the terms “comprising,” “having,” and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are expressly listed, but may also include other steps or units that are not expressly listed but are inherent to these processes, methods, products, or apparatuses, or steps or units added based on further optimizations of the inventive concept.

[0054] Existing temperature control methods for polymerization reactors are mostly based on a single PID controller. This method controls the jacket cooling water and the internal cooling pipe cooling water separately according to the temperature inside the polymerization reactor. It uses two independent PID controllers with a simultaneous temperature setpoint and adjusts the PID parameters according to the actual situation.

[0055] Disadvantages of existing technology: 1. Drastic fluctuations in cooling water regulation occur in both the initial and later stages of the reaction, affecting product quality. Although the temperature change inside the reactor is not significant, analysis of heat transfer characteristics and pressure curves confirm that this process has a significant impact on the actual temperature field distribution of the polymerization reaction. The main reason for this phenomenon is that the process characteristics of the polymerization reactor change significantly at different reaction stages, and the PID parameters cannot fully adapt.

[0056] 2. Significant unevenness in the regulation of the jacket water and the internal cooling pipe cooling water affects the internal quality and increases cooling water consumption. Since the jacket cooling water and the internal cooling pipe cooling water are controlled independently using PID algorithms, their parameters P and Ti differ considerably due to heat transfer characteristics. When there are large fluctuations in regulation, the proportional and integral actions inevitably cause deviations between the two. After each reactor experiences significant fluctuations, the jacket water flow rate increases while the internal cooling pipe water flow rate decreases. The magnitude of the deviation is related to the number and amplitude of control fluctuations.

[0057] This application is used for temperature control in polymerization reactors, particularly for the intelligent distribution of multiple cooling water streams during the temperature process to ensure effective temperature control. For example... Figure 1This application provides a schematic diagram of the cooling water process flow in the polymerization reactor, as shown in the figure below. The heat released during the polymerization reactor reaction can be carried away by circulating water in the reactor jacket and internal cooling pipes. Reaction temperature is the most important process parameter in the polymerization reaction; its control precision and dynamic quality are closely related to product quality and production safety. In this system, all jacket cooling water is controlled by a single regulating valve FV1, and the internal cooling pipe cooling water is controlled by a single regulating valve FV2. The flow rates of the two cooling water lines are measured by FI1 and FI2. The inlet temperatures of the jacket cooling water and the internal cooling pipe cooling water are both T01 (connected to the main pipe). The return temperature of the jacket cooling water is T02, and the return temperature of the internal cooling pipe cooling water is T03. The measured temperature inside the reactor is T04. This invention mainly focuses on controlling the precision of T04 and the intelligent allocation of FI1 and FI2.

[0058] This invention achieves precise distribution and control of cooling water, ensuring stable temperature control within the required process range throughout the polymerization reactor production process, and resolving quality fluctuations and yield limitations caused by improper cooling water distribution. To address the issues of insufficient control precision and improper cooling water distribution, this invention models the exothermic reaction process and calculates the reactor's maximum heat exchange requirement using historical data and current real-time parameters. This calculation guides the parameters of an advanced controller, while simultaneously utilizing disturbance observation and intelligent servo functions within the advanced control system to improve control quality. Furthermore, it employs a self-optimizing principle to perform online real-time adjustments to the cooling water distribution, using cooling water volume and temperature field distribution as optimization targets to seek the optimal cooling water match, thereby improving product quality and increasing production capacity.

[0059] For details, please refer to Figure 2 The document illustrates a flowchart of a method for intelligent distribution and regulation of cooling water in a polymerization reactor, provided in an embodiment of this application. This method may include the following steps:

[0060] Step 101: Obtain the parameters of the current polymerization reactor reaction.

[0061] The parameters include at least the measured temperature inside the reactor and the amount of monomers fed.

[0062] The single-loop PID control of the polymerization reactor exhibits significant fluctuations in cooling water flow control at certain stages, almost resembling two-position control in extreme cases. One reason for this oscillating response is that the PID parameters lack self-adjustment capabilities at different stages, inevitably resulting in varying control quality for the same parameter at different times. When the initiator's action time is superimposed or it suddenly takes effect, the parameters are clearly unable to adapt to the operating conditions at that time.

[0063] The second reason is that there is pure time delay in the cooling water control of the polymerization reactor (including time delay in resistance measurement, time delay in jacket heat transfer characteristics, and control time delay). Traditional PID can only ensure the stability of the controlled variable by sacrificing the stability of some control variables, increasing the adjustment range, and speeding up the adjustment when there is a large pure time delay.

[0064] Therefore, in this embodiment of the application, the parameters of the current polymerization reactor reaction are obtained to address the arbitrariness caused by the above-mentioned changes in multiple factors, and a real-time exothermic model is established based on the parameters, which is then combined with an advanced control model for resolution.

[0065] Step 102: Input the current monomer feed rate in the polymerization reactor into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction.

[0066] In this embodiment, the total polymerization heat load and average heat load of the polymerization reactor are determined based on the monomer feed rate of the current polymerization reactor reaction. After calculating the average heat load, the heat load distribution index is obtained through data regression, thereby determining the maximum heat load in the current polymerization reactor reaction. The heat load model combines historical data with current reaction parameters and duration.

[0067] Specifically, the total polymerization heat load of the current polymerization reactor reaction is determined by a first formula, which includes:

[0068] ∑Q=Δr×H×G×C

[0069] Where G is the monomer feed rate, C is the final conversion rate, Δr is the heat of polymerization, and H is the current enthalpy of the material.

[0070] The average heat load of the current polymerization reactor reaction is then determined using a second formula, which specifically includes:

[0071]

[0072] Where ∑Q is the total polymerization heat load of the current polymerization reactor, and t is the reaction time.

[0073] The heat load distribution index is derived through data regression, thereby determining the maximum heat load in the current polymerization reactor reaction, including:

[0074] The maximum heat load is determined using the third formula, and this value is used as the maximum tolerance reference for tuning the advanced control parameters. The third formula specifically includes:

[0075]

[0076] Among them, Q max R represents the maximum heat load of the current polymerization reactor reaction, and R is the heat load distribution index. The average heat load of the current polymerization reactor reaction.

[0077] Step 103: Determine the overall adjustment coefficient of the advanced control based on the maximum heat load and the measured temperature inside the reactor in the current polymerization reactor reaction, and establish the advanced control model.

[0078] like Figure 3 This application provides an advanced control model for embodiments of the present application, which may specifically include fuzzy control, predictive control, overlapping control, adaptive control, decoupling control, and expert control.

[0079] Among them, fuzzy control is used to ensure that the temperature of the polymerization reactor is controlled within the allowable fluctuation range, and is used for coarse adjustment; predictive control effectively predicts and corrects temperature change trends, reduces system overshoot, and shortens response time; overlap control is used to overcome disturbances in real time, adding a reverse real-time adjustment effect to the disturbance response analysis results; adaptive control is used to correct control parameters in real time after changes in the heat exchange characteristics of the polymerization reactor, ensuring control quality; decoupling control can accurately decouple changes in the cooling water main temperature, providing system response speed and control accuracy; expert control is used to input expert experience into the model one by one to ensure smooth control in overdrive or when the system tends to diverge.

[0080] Specifically:

[0081] The perturbation observer model can respond to slight changes reflected at the measuring point, effectively capturing the trend of change at the measuring point, based on different current temperature change rates T. rate Different sampling periods are applied to the valve position output. This can minimize the impact of external disturbances.

[0082] The intelligent soft servo model anthropomorphizes the pure time delay and full response time in the judgment process. It only makes a judgment and proceeds to the next adjustment after the response time has elapsed following the output action. This effectively solves the overshoot problem of PID control in temperature control. Here, the advanced control overall regulation coefficient K is selected from the Q calculated above. max / Q, where Q represents the current real-time heat load of the polymerization reactor.

[0083] Step 104: The advanced control model is used to control the regulating valves of each cooling water pipeline in the polymerization reactor to achieve intelligent distribution and regulation of the current polymerization reactor reaction cooling water.

[0084] In this embodiment of the application, step 104 mainly achieves the coordination between the water in the polymerization reactor jacket and the water in the baffle.

[0085] The key to successful intelligent cooling water distribution and regulation lies in maintaining a matched ratio between the jacket water flow and the internal cooling pipe water flow throughout the entire reaction process, achieving minimal consumption while meeting the heat removal requirements. This is addressed using a self-optimizing method. For example... Figure 4 A flowchart for the engineering implementation of self-optimization is provided.

[0086] The optimized increment of the internal cooling pipe cooling water flow rate is selected as the single-step SOP for optimization. The optimization objective function f is the current total cooling water volume, and the downward trend of f is taken as the optimization objective direction. Temperature control stability is used as a constraint. An appropriate SOP step size is selected during the optimization process. When stability deteriorates, the optimization process automatically returns to the previous step. After the single-step optimization result is evaluated, it is determined whether to continue adjusting the cooling water flow rate in the current direction. Ultimately, the optimization stops when the total cooling water volume is minimized under the current operating conditions. The next optimization stage begins after the TOP interval is satisfied.

[0087] The self-optimization program must be seamlessly integrated with the loop control model. If the control loop fluctuations are too large, the optimization program will not be able to start. The optimization program can only run after the control stability index reaches the required range.

[0088] In correcting the cooling water flow rate coordination deviation, a large step size is selected for rapid optimization. The parameters are set without affecting the current reactor temperature control quality, and the coordination optimization goal is expected to be achieved.

[0089] In summary, this application establishes a control strategy that combines a real-time exothermic model with feedback control during the cooling water control process of the polymerization reactor, ensuring the temperature control accuracy at different reaction stages. At the same time, it establishes a cooling water volume optimization control model to dynamically allocate the flow rates of jacket cooling water and internal cooling pipe cooling water, ensuring minimum cooling water volume and optimal reactor temperature field.

[0090] This application also provides an intelligent distribution and regulation system for cooling water in a polymerization reactor. The system includes:

[0091] The acquisition module is used to acquire the parameters of the current polymerization reactor reaction; the parameters include at least the measured value of the reactor temperature and the monomer feed rate.

[0092] The first processing module is used to input the current monomer feed rate of the polymerization reactor into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction.

[0093] The second processing module determines the overall adjustment coefficient of the advanced control based on the maximum heat load and the measured temperature inside the polymerization reactor, and establishes an advanced control model.

[0094] The regulating module is used to control the regulating valves of each cooling water pipeline in the polymerization reactor through an advanced control model, so as to realize the intelligent distribution and regulation of the cooling water in the current polymerization reactor reaction.

[0095] In an optional embodiment of this application, the first processing module includes:

[0096] The total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate in the polymerization reactor.

[0097] After calculating the average heat load, the heat load distribution index is derived through data regression, thereby determining the maximum heat load in the current polymerization reactor reaction.

[0098] The intelligent distribution and regulation system for cooling water in the polymerization reactor provided in this application embodiment is used to implement the aforementioned intelligent distribution and regulation method for cooling water in the polymerization reactor. Specific limitations of the intelligent distribution and regulation system for cooling water in the polymerization reactor can be found in the limitations of the intelligent distribution and regulation method for cooling water in the polymerization reactor described above, and will not be repeated here. Each part of the aforementioned intelligent distribution and regulation system for cooling water in the polymerization reactor can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in the device in hardware form, or stored in the memory of the device in software form, so that the processor can call and execute the operations corresponding to each module.

[0099] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0100] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for intelligent distribution and regulation of cooling water in a polymerization reactor, characterized in that, The method includes: Obtain the parameters of the current polymerization reactor reaction; wherein, the parameters include at least the measured value of the reactor temperature and the monomer feed rate; Input the current monomer feed rate in the polymerization reactor into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction; Based on the maximum heat load and measured temperature inside the polymerization reactor, the overall regulation coefficient of the advanced control system is determined, and an advanced control model is established. The advanced control model is used to control the regulating valves of each cooling water pipe in the polymerization reactor, thereby realizing the intelligent distribution and regulation of the cooling water in the current polymerization reactor reaction. The current monomer feed rate in the polymerization reactor is input into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction, including: The total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate in the polymerization reactor. After calculating the average heat load, the heat load distribution index is obtained by data regression, and then the maximum heat load in the current polymerization reactor reaction is determined. The total polymerization heat load of the polymerization reactor is determined based on the current monomer feed rate, including: The total polymerization heat load of the current polymerization reactor reaction is determined by a first formula, which specifically includes: ， Where G is the monomer feed rate, C is the final conversion rate, Δr is the heat of polymerization, and H is the current enthalpy of the material; The total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate, including: The average heat load of the current polymerization reactor reaction is determined by a second formula, which specifically includes: ， in, The total polymerization heat load of the current polymerization reactor is given by t, where t is the reaction time. The heat load distribution index is derived through data regression, thereby determining the maximum heat load in the current polymerization reactor reaction, including: The maximum heat load is determined by a third formula, which specifically includes: ， in, R represents the maximum heat load of the current polymerization reactor reaction, and R is the heat load distribution index. The average heat load of the current polymerization reactor reaction; The overall advanced control regulation coefficient is determined based on the maximum heat load and measured temperature inside the polymerization reactor, including: pass Determine the overall regulation coefficient of the advanced control system; where Q represents the current real-time heat load of the polymerization reactor; The advanced control model controls the regulating valves of each cooling water pipe in the polymerization reactor, enabling intelligent distribution and regulation of the cooling water in the reactor reaction, including: The self-optimizing algorithm is used for control optimization. Specifically, the optimization increment of the internal cooling pipe cooling water flow rate is selected as the optimization step size. The optimization objective function is the current total cooling water volume, and the downward trend of the optimization objective function is taken as the optimization target direction. The stability of temperature control is used as a constraint condition. An appropriate optimization step size is selected in the optimization process. After the single-step optimization result is judged, it is determined whether to continue adjusting the cooling water flow rate in the current direction. Finally, the optimization stops when the total cooling water volume is minimized under the current operating conditions. After the interval time is satisfied, another stage of optimization begins.

2. The intelligent distribution and adjustment method for cooling water in the polymerization reactor according to claim 1, characterized in that, The advanced control model is used to control the regulating valves of each cooling water pipe in the polymerization reactor, including: Control all jacketed water pipes and internal cooling water pipes in the polymerization reactor.

3. A smart distribution and regulation system for cooling water in a polymerization reactor, characterized in that, The system includes: The acquisition module is used to acquire the parameters of the current polymerization reactor reaction; the parameters include at least the measured value of the reactor temperature and the monomer feed rate; The first processing module is used to input the current monomer feed rate of the polymerization reactor into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction. The second processing module determines the overall adjustment coefficient of the advanced control based on the maximum heat load and the measured temperature inside the polymerization reactor, and establishes an advanced control model. The adjustment module is used to control the regulating valves of each cooling water pipeline in the polymerization reactor through the advanced control model, so as to realize the intelligent distribution and adjustment of the current polymerization reactor reaction cooling water; The current monomer feed rate in the polymerization reactor is input into the real-time exothermic model to obtain the maximum heat load in the current polymerization reactor reaction, including: The total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate in the polymerization reactor. After calculating the average heat load, the heat load distribution index is obtained by data regression, and then the maximum heat load in the current polymerization reactor reaction is determined. The total polymerization heat load of the polymerization reactor is determined based on the current monomer feed rate, including: The total polymerization heat load of the current polymerization reactor reaction is determined by a first formula, which specifically includes: ， Where G is the monomer feed rate, C is the final conversion rate, Δr is the heat of polymerization, and H is the current enthalpy of the material; The total polymerization heat load and average heat load of the polymerization reactor are determined based on the current monomer feed rate, including: The average heat load of the current polymerization reactor reaction is determined by a second formula, which specifically includes: ， in, The total polymerization heat load of the current polymerization reactor is given by t, where t is the reaction time. The heat load distribution index is derived through data regression, thereby determining the maximum heat load in the current polymerization reactor reaction, including: The maximum heat load is determined by a third formula, which specifically includes: ， in, R represents the maximum heat load of the current polymerization reactor reaction, and R is the heat load distribution index. The average heat load of the current polymerization reactor reaction; The overall advanced control regulation coefficient is determined based on the maximum heat load and measured temperature inside the polymerization reactor, including: pass Determine the overall regulation coefficient of the advanced control system; where Q represents the current real-time heat load of the polymerization reactor; The advanced control model controls the regulating valves of each cooling water pipe in the polymerization reactor, enabling intelligent distribution and regulation of the cooling water in the reactor reaction, including: The self-optimizing algorithm is used for control optimization. Specifically, the optimization increment of the internal cooling pipe cooling water flow rate is selected as the optimization step size. The optimization objective function is the current total cooling water volume, and the downward trend of the optimization objective function is taken as the optimization target direction. The stability of temperature control is used as a constraint condition. An appropriate optimization step size is selected in the optimization process. After the single-step optimization result is judged, it is determined whether to continue adjusting the cooling water flow rate in the current direction. Finally, the optimization stops when the total cooling water volume is minimized under the current operating conditions. After the interval time is satisfied, another stage of optimization begins.

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