A processing control method, processing control device and system for plastic granulation.

Abstract

The present application relates to the technical field of plastic production control, and in particular to a processing control method, a processing control device and a system for plastic granulation. The method collects information at multiple positions of a granulation extruder, uses the correlation coefficient of the extrusion speed sequence and the screw zone pressure sequence, the fluctuation of the die zone pressure and the die zone temperature to obtain the final blockage characteristics. Based on the final blockage characteristics, the theoretical extrusion speed under the current feedback moment affected by the die blockage of the extruder is further obtained, the real die blockage ratio can be evaluated by the difference between the theoretical extrusion speed and the extrusion speed at the current feedback moment, and then the optimal feedback coefficient is determined to obtain the optimal feeding speed. The present application effectively quantifies the blockage characteristics based on the data of the plastic extruder in multiple dimensions, and then accurately evaluates the real die blockage ratio through the theoretical extrusion speed to obtain the optimal feeding speed, thereby ensuring the production stability of plastic granulation.

Description

Technical Field

[0001] This invention relates to the field of plastic production control technology, specifically to a processing control method, processing control device and system for plastic granulation. Background Technology

[0002] In the plastic granulation process, raw materials are extruded into plastic strips through a plastic extruder, and then granulated. When the speed of the plastic strip in the extruder increases, the amount of plastic extruded increases. In order to meet the granulation stability, the feeding speed also needs to be increased, so as to ensure that the raw material supply is consistent with the production speed of the molten plastic and achieve a stable processing process.

[0003] In actual plastic granulation processes, extruder dies may become clogged, obstructing melt flow and preventing molten plastic from passing smoothly through the die, thus reducing plastic flow rate. In this case, even if the extrusion speed remains constant, the amount of plastic extruded will still be reduced. If the feedback adjustment coefficient before the clog is applied, it will lead to excessive raw material supply, affecting the overall production stability. Furthermore, in practice, a decrease in extrusion speed is not always due to clogging; it could also be caused by changes in screw operation. Therefore, analyzing only the changes in extrusion speed cannot accurately assess the clog situation, and consequently, cannot obtain an accurate feedback adjustment coefficient to adjust the feeding speed. Summary of the Invention

[0004] To address the technical problem in existing technologies where the feedback adjustment coefficient cannot be adapted to actual extruder blockage changes, resulting in poor feed rate adjustment, the present invention aims to provide a processing control method, processing control device, and system for plastic granulation. The specific technical solution adopted is as follows:

[0005] This invention proposes a processing control method for plastic granulation, the method comprising:

[0006] Between the current feedback moment and the previous feedback moment, obtain the extrusion speed sequence at the extrusion port of the granulation extruder; obtain the die pressure sequence and die temperature sequence in the die area inside the extruder; obtain the screw pressure sequence in the screw area.

[0007] Obtain the correlation coefficient between the extrusion speed sequence and the screw zone pressure sequence; obtain the preliminary clogging characteristics at the current feedback moment based on the correlation coefficient and the fluctuation of the die zone pressure sequence; obtain the final clogging characteristics based on the die zone temperature in the die zone temperature sequence and the preliminary clogging characteristics.

[0008] Based on the difference in extrusion speed between the current feedback time and the previous feedback time, and the final clogging characteristics, the theoretical extrusion speed at the current feedback time due to extruder die clogging is obtained; the actual die clogging ratio is obtained based on the difference between the theoretical extrusion speed and the extrusion speed at the previous feedback time.

[0009] The initial feedback coefficient at the current feedback moment is adjusted based on the actual die blockage ratio to obtain the optimal feedback adjustment coefficient; the extrusion speed is then adjusted using the optimal feedback adjustment coefficient to obtain the optimal feeding speed.

[0010] Furthermore, the correlation coefficient is the absolute value of the Pearson correlation coefficient.

[0011] Furthermore, the method for obtaining the preliminary blockage features includes:

[0012] The normalized value of the variance of the elements in the pressure sequence of the mold head region is taken as the volatility. The correlation coefficient is negatively correlated and normalized to obtain the abnormal weight. The product of the volatility and the abnormal weight is taken as the preliminary blockage feature.

[0013] Furthermore, the method for obtaining the final blockage feature includes:

[0014] The final blockage feature is obtained by normalizing the sum of the temperature in the mold head area temperature sequence and then multiplying it with the preliminary blockage feature.

[0015] Furthermore, the method for obtaining the theoretical extrusion speed includes:

[0016] The difference between the extrusion speed at the previous feedback moment and the extrusion speed at the current feedback moment is taken as the change in extrusion speed; the change in extrusion speed is multiplied by the normalized final blockage characteristic to obtain the theoretical speed change; the theoretical extrusion speed is obtained by subtracting the theoretical speed change from the extrusion speed at the previous feedback moment.

[0017] Furthermore, the method for obtaining the actual mold head blockage ratio includes:

[0018] The ratio of the theoretical extrusion speed to the extrusion speed at the previous feedback moment is obtained, and the square of the ratio is negatively correlated to obtain the actual die blockage ratio.

[0019] Furthermore, the method for obtaining the optimal feedback adjustment coefficient includes:

[0020] The actual head blockage ratio is negatively correlated and normalized to obtain the blockage weight. The product of the blockage weight and the initial feedback coefficient is used as the optimal feedback adjustment coefficient.

[0021] Furthermore, the method for obtaining the optimal feeding speed includes:

[0022] The optimal feeding speed is obtained by multiplying the optimal feedback adjustment coefficient by the extrusion speed at the current feedback moment.

[0023] The present invention also proposes a processing control device for plastic granulation, the device comprising:

[0024] The plastic granulation extruder information acquisition module is used to obtain the extrusion speed sequence of the extrusion port of the granulation extruder between the current feedback time and the previous feedback time; obtain the die pressure sequence and die temperature sequence of the die area inside the extruder; and obtain the screw pressure sequence of the screw area.

[0025] The blockage detection module is used to obtain the correlation coefficient between the extrusion speed sequence and the screw zone pressure sequence; obtain the preliminary blockage characteristics at the current feedback moment based on the correlation coefficient and the fluctuation of the die zone pressure sequence; and obtain the final blockage characteristics based on the die zone temperature in the die zone temperature sequence and the preliminary blockage characteristics.

[0026] The actual die blockage ratio analysis module is used to obtain the theoretical extrusion speed at the current feedback time due to die blockage, based on the difference in extrusion speed between the current feedback time and the previous feedback time, and the final blockage characteristics; and to obtain the actual die blockage ratio based on the difference between the theoretical extrusion speed and the extrusion speed at the current feedback time.

[0027] The extrusion speed control module is used to adjust the initial feedback coefficient at the current feedback moment based on the actual die blockage ratio to obtain the optimal feedback adjustment coefficient; and to adjust the extrusion speed using the optimal feedback adjustment coefficient.

[0028] The present invention also proposes a processing control system for plastic granulation, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the steps of the processing control method for plastic granulation.

[0029] The present invention has the following beneficial effects:

[0030] This invention collects information from multiple locations within a granulation extruder. A higher correlation coefficient between the extrusion speed sequence and the screw pressure sequence indicates that changes in the current extrusion speed are primarily driven by screw operation variations, resulting in less clogging characteristics. Furthermore, considering that greater pressure fluctuations in the die area indicate significant material resistance from clogging, the initial clogging characteristics can be effectively quantified. Further considering that the prolonged time plastic remains in the die area during clogging leads to a temperature rise at the die due to continuous operation of the die heating system, the final clogging characteristics can be obtained by combining die area temperature information. To obtain more accurate clogging characteristics, the theoretical extrusion speed at the current feedback moment due to die clogging is obtained based on the final clogging characteristics. The difference between the theoretical extrusion speed and the current extrusion speed allows for the assessment of the actual die clogging ratio, thereby determining the optimal feedback coefficient and obtaining the optimal feeding speed. This invention effectively quantifies clogging characteristics based on data from multiple dimensions of the plastic extruder, and then accurately assesses the actual die clogging ratio using the theoretical extrusion speed, obtaining the optimal feeding speed and ensuring the production stability of plastic granulation. Attached Figure Description

[0031] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 A processing control method for plastic granulation is provided as an embodiment of the present invention;

[0033] Figure 2 This is a schematic diagram of a plastic extruder provided in one embodiment of the present invention;

[0034] Figure 3 This is a schematic diagram of the data sequence of various dimensions of a plastic extruder provided in an embodiment of the present invention. Detailed Implementation

[0035] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a plastic granulation processing control method, processing control device, and system proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0037] The following description, in conjunction with the accompanying drawings, details the specific scheme of the processing control method, processing control device, and system for plastic granulation provided by the present invention.

[0038] Please see Figure 1 The diagram illustrates a process control method for plastic granulation according to an embodiment of the present invention, the method comprising:

[0039] Step S1: Between the current feedback time and the previous feedback time, obtain the extrusion speed sequence of the extrusion port of the granulation extruder; obtain the die pressure sequence and die temperature sequence of the die area inside the extruder; obtain the screw pressure sequence of the screw area.

[0040] In the plastic granulation process, plastic is first added to the hopper and fed into the screw's feeding zone by gravity. The screw rotates, causing the raw material to move along the cavity. Simultaneously, the heating zone heats the raw material to its melting point, causing it to melt. The molten plastic forms a uniform melt, which is then extruded through the die. Figure 2 The diagram illustrates a schematic of a plastic extruder according to an embodiment of the present invention. During the extruder's operation, the extrusion speed at the extrusion nozzle, the die pressure and temperature in the internal die area, and the screw pressure are key data points for the extruder's operation. Therefore, this embodiment of the invention uses a laser detector to measure the extrusion speed and pressure and temperature sensors to measure them. This allows for the acquisition of a sequence of these three data points between the current feedback moment and the previous feedback moment. Figure 3 As shown, this diagram illustrates a schematic representation of data sequences across various dimensions of a plastic extruder according to an embodiment of the present invention. In this embodiment, the extruder's feedback time is 5 seconds, and the data acquisition frequency is 10Hz.

[0041] It should be noted that, since the embodiments of the present invention require correlation analysis of data in each dimension in subsequent steps, in order to facilitate data analysis, it is necessary to perform dimensionless standardization on the data in each dimension. Range standardization can be used to normalize the data in each dimension. Those skilled in the art can choose existing dimensionless standardization algorithms to implement this, which will not be limited or elaborated here.

[0042] Step S2: Obtain the correlation coefficient between the extrusion speed sequence and the screw zone pressure sequence; obtain the preliminary clogging characteristics at the current feedback moment based on the correlation coefficient and the fluctuation of the die zone pressure sequence; obtain the final clogging characteristics based on the die zone temperature in the die zone temperature sequence and the preliminary clogging characteristics.

[0043] Changes in extrusion speed in an extruder are not necessarily caused by die blockage. In an extruder, the screw rotates to feed material from the hopper into the screw zone, where it is heated, melted, and then pushed into the die for forming. Under normal circumstances, the screw's driving force directly affects the material's flowability in the screw zone, thus affecting the overall extrusion speed. When the screw's driving force decreases, the material's flow thrust is insufficient, leading to a decrease in pressure in the screw zone, reduced flow resistance, and consequently, a decrease in extrusion speed. Conversely, if the driving force increases, the screw zone pressure increases, flow resistance increases, and the extrusion speed also increases. Therefore, if there is a significant correlation between the extrusion speed and the screw zone pressure, it indicates that the change in extrusion speed is normal and not caused by extruder blockage. Therefore, this embodiment of the invention obtains the correlation coefficient between the extrusion speed sequence and the screw pressure sequence. The smaller the correlation coefficient, the more likely the change in extrusion speed is caused by blockage.

[0044] When the die head is clogged, the blockage hinders the normal flow of molten plastic, preventing the material from passing smoothly through the die head. This blockage then accumulates in the screw area or in front of the die head, causing drastic pressure changes and resulting in severe pressure fluctuations. Therefore, based on these intuitive characteristics, combined with correlation coefficients and the volatility of the pressure sequence in the die head area, the initial blockage characteristics at the current feedback moment can be obtained.

[0045] Furthermore, considering that when the die head is blocked, the pressure rises sharply, the material flow slows down, and the plastic stays in the die head area for a longer time. As the die head heating system continues to heat the material, the blockage makes it difficult for the molten plastic temperature to disperse, causing temperature accumulation and resulting in a significantly higher temperature characteristic in the die head area. Therefore, you can obtain the final blockage characteristics by combining the die head temperature sequence with the initial blockage characteristics.

[0046] Preferably, in this embodiment of the invention, the correlation coefficient is the absolute value of the Pearson correlation coefficient. The larger the absolute value of the Pearson correlation coefficient, the more correlated the two sequences are.

[0047] Preferably, in this embodiment of the invention, the method for obtaining preliminary blockage features includes:

[0048] The normalized variance of the elements in the pressure sequence of the mold head region is taken as volatility. The correlation coefficient is negatively correlated and normalized to obtain anomaly weights. The product of volatility and anomaly weights is taken as the initial blockage feature. It should be noted that, because the correlation coefficient in one embodiment of this invention uses the absolute value of the Pearson correlation coefficient, whose range is 0 to 1, the negative correlation mapping and normalization can be achieved directly by subtracting the correlation coefficient from the positive integer 1 to obtain the anomaly weights. For the variance normalization method, the following can be used... The function can be implemented, or the hyperbolic tangent function mapping can be used. Those skilled in the art can use other basic mathematical algorithms to achieve the normalization purpose, which will not be elaborated here. The normalization content in the following description will also not be elaborated.

[0049] Preferably, in this embodiment of the invention, the method for obtaining the final blockage feature includes:

[0050] The sum of the die head area temperatures in the die head area temperature sequence is normalized and then multiplied by the preliminary blockage feature to obtain the final blockage feature. It should be noted that in some embodiments of the present invention, because the sum of the die head area temperatures is normalized, and the preliminary blockage feature is also data in the range of 0 to 1, the obtained final blockage feature is also data in the range of 0 to 1.

[0051] Step S3: Based on the difference in extrusion speed between the current feedback time and the previous feedback time, and the final clogging characteristics, obtain the theoretical extrusion speed at the current feedback time that is blocked by the extruder die; obtain the actual die blockage ratio based on the difference between the theoretical extrusion speed and the extrusion speed at the current feedback time.

[0052] To further assess the actual blockage situation at the current feedback moment and avoid misinterpreting changes in other normal operating conditions, such as those in the screw section, as changes caused by blockage, this embodiment of the invention can obtain the theoretical extrusion speed at the current feedback moment due to extruder die blockage based on the difference in extrusion speed between the current and previous feedback moments, and the final blockage characteristics. In other words, the theoretical extrusion speed is the extrusion speed that should occur at the current feedback moment under the influence of the final blockage characteristics. The smaller the theoretical extrusion speed is compared to the extrusion speed at the previous feedback moment, the more severe the current blockage. Therefore, the actual die blockage ratio can be obtained based on the difference between the theoretical extrusion speed and the extrusion speed at the previous feedback moment. That is, the actual die blockage ratio reflects a more realistic die blockage situation.

[0053] Preferably, in this embodiment of the invention, the method for obtaining the theoretical extrusion speed includes:

[0054] The difference between the extrusion speed at the previous feedback moment and the extrusion speed at the current feedback moment is taken as the change in extrusion speed. The change in extrusion speed represents the actual change that occurs under real-world conditions. Because the current feedback moment may be affected by normal factors other than blockage, resulting in a decrease in extrusion speed, the change in extrusion speed at this time can be used as the upper limit of the change. That is, theoretically, the change caused by blockage should be less than this basic speed change.

[0055] Therefore, the change in extrusion speed is multiplied by the normalized final clogging characteristic to obtain the theoretical speed change. The theoretical extrusion speed is then obtained by subtracting the theoretical speed change from the extrusion speed at the previous feedback moment.

[0056] Preferably, in this embodiment of the invention, the method for obtaining the actual die head clogging ratio includes:

[0057] The ratio of the theoretical extrusion speed to the extrusion speed at the previous feedback moment is obtained. This ratio reflects the difference between the theoretical baseline speed and the baseline speed at the previous feedback moment. The smaller the ratio, the smaller the theoretical baseline speed is relative to the previous feedback moment, and the more severe the actual blockage should be. To improve the significance of the difference between the two speeds, this embodiment uses a squared form for amplification. The square of the speed ratio is negatively correlated to obtain the actual die blockage ratio.

[0058] It should be noted that, in this embodiment of the invention, the method for negatively mapping the speed ratio score is to use the opposite of the data as the power of an exponential function with the natural constant as the base. The output of the exponential function is the result of the negative correlation mapping, and the value range of the output result is between 0 and 1, which facilitates the calculation of subsequent data.

[0059] Step S4: Adjust the initial feedback coefficient at the current feedback moment based on the actual die blockage ratio to obtain the optimal feedback adjustment coefficient; use the optimal feedback adjustment coefficient to adjust the extrusion speed to obtain the optimal feeding speed.

[0060] When the die is clogged, a fixed feedback adjustment coefficient cannot match the raw material supply with the actual extrusion volume. As the proportion of die clogging increases, the amount of molten plastic extruded at the same speed decreases. In this case, the feedback adjustment coefficient needs to decrease to reduce the feeding speed and achieve a balance between extrusion and feeding. Therefore, the initial feedback coefficient at the current feedback moment can be adjusted based on the actual die clogging proportion to obtain the optimal feedback adjustment coefficient. Then, the extrusion speed is adjusted using the optimal feedback adjustment coefficient to obtain the optimal feeding speed. By continuously running the above steps, the feeding speed can be adaptively controlled throughout the production process, ensuring balance in the granulation process.

[0061] Preferably, in this embodiment of the invention, the method for obtaining the optimal feedback adjustment coefficient includes:

[0062] The actual die clogging ratio is negatively correlated and normalized to obtain the clogging weight. It should be noted that, since the actual die clogging ratio in this embodiment of the invention ranges from 0 to 1, the clogging weight can be obtained by directly subtracting the actual die clogging ratio from the positive integer 1. That is, the larger the actual die clogging ratio, the smaller the required feedback adjustment coefficient, and thus the smaller the clogging weight. The product of the clogging weight and the initial feedback coefficient is taken as the optimal feedback adjustment coefficient. It should be noted that the initial feedback coefficient is the initial value of the system's response to the extrusion speed at the current feedback moment, which can be directly obtained through the extruder feedback control system and does not require separate calculation.

[0063] In this embodiment of the invention, since the feedback adjustment coefficient is a data between 0 and 1, it can be used as an adjustment ratio. The optimal feedback adjustment coefficient is multiplied by the extrusion speed at the current feedback moment to obtain the optimal feeding speed.

[0064] In summary, this invention collects information from multiple locations within the granulation extruder, utilizing the correlation coefficient between the extrusion speed sequence and the screw zone pressure sequence, as well as the pressure fluctuation and temperature in the die zone, to obtain the final clogging characteristics. Based on these final clogging characteristics, the theoretical extrusion speed at the current feedback moment due to die blockage is further obtained. The difference between the theoretical extrusion speed and the extrusion speed at the current feedback moment can be used to assess the actual die blockage ratio, thereby determining the optimal feedback coefficient and obtaining the optimal feeding speed. This invention effectively quantifies clogging characteristics based on data from multiple dimensions of the plastic extruder, and then accurately assesses the actual die blockage ratio through the theoretical extrusion speed, obtaining the optimal feeding speed and ensuring the production stability of plastic granulation.

[0065] Based on the same inventive concept, the present invention also proposes a processing control device for plastic granulation, the device comprising:

[0066] The plastic granulation extruder information acquisition module is used to obtain the extrusion speed sequence of the extrusion port of the granulation extruder between the current feedback time and the previous feedback time; obtain the die pressure sequence and die temperature sequence of the die area inside the extruder; and obtain the screw pressure sequence of the screw area.

[0067] The blockage detection module is used to obtain the correlation coefficient between the basic velocity sequence and the screw zone pressure sequence; obtain the preliminary blockage characteristics at the current feedback moment based on the correlation coefficient and the fluctuation of the die zone pressure sequence; and obtain the final blockage characteristics based on the die zone temperature in the die zone temperature sequence and the preliminary blockage characteristics.

[0068] The actual die blockage ratio analysis module is used to obtain the theoretical extrusion speed at the current feedback time due to die blockage, based on the difference in extrusion speed between the current feedback time and the previous feedback time, and the final blockage characteristics; and to obtain the actual die blockage ratio based on the difference between the theoretical extrusion speed and the extrusion speed at the current feedback time.

[0069] The extrusion speed control module is used to adjust the initial feedback coefficient at the current feedback moment based on the actual die blockage ratio to obtain the optimal feedback adjustment coefficient; and to adjust the extrusion speed using the optimal feedback adjustment coefficient.

[0070] The present invention also proposes a processing control system for plastic granulation, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the steps of the processing control method for plastic granulation.

[0071] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0072] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method of process control for plastic pelletization, characterized by, The method comprises: obtaining an extrusion speed sequence of an extrusion port of a granulating extruder between a current feedback time and a previous feedback time; obtaining a die zone pressure sequence and a die zone temperature sequence of a die zone inside the extruder; and obtaining a screw zone pressure sequence of a screw zone; obtaining a correlation coefficient between the extrusion speed sequence and the screw zone pressure sequence; obtaining a preliminary blockage feature of the current feedback time according to the correlation coefficient and fluctuation of the die zone pressure sequence; and obtaining a final blockage feature according to a die zone temperature in the die zone temperature sequence and in combination with the preliminary blockage feature; obtaining a theoretical extrusion speed under blockage of a die of the extruder at the current feedback time according to a difference in extrusion speed between the current feedback time and the previous feedback time and the final blockage feature; and obtaining a real die blockage ratio according to a difference between the theoretical extrusion speed and an extrusion speed at the previous feedback time; adjusting an initial feedback coefficient at the current feedback time based on the real die blockage ratio to obtain an optimal feedback adjustment coefficient; and adjusting the extrusion speed by using the optimal feedback adjustment coefficient to obtain an optimal feeding speed.

2. The method of claim 1, wherein The correlation coefficient is an absolute value of a Pearson correlation coefficient.

3. The method of claim 1, wherein the plastic pelletizing process is controlled by the controller. The method for obtaining the preliminary blockage feature comprises: normalizing a variance of elements in the die zone pressure sequence as the fluctuation, negatively correlating and normalizing the correlation coefficient to obtain an abnormal weight, and multiplying the fluctuation and the abnormal weight to obtain the preliminary blockage feature.

4. The method of claim 1, wherein the plastic pelletizing process is controlled by the controller. The method for obtaining the final blockage feature comprises: multiplying the preliminary blockage feature by a normalized sum of the die zone temperatures in the die zone temperature sequence to obtain the final blockage feature.

5. The method of claim 1, wherein the plastic pelletizing process is controlled by the controller. The method for obtaining the theoretical extrusion speed comprises: taking a difference between the extrusion speed at the previous feedback time and the extrusion speed at the current feedback time as an extrusion speed variation; multiplying the extrusion speed variation and the normalized final blockage feature to obtain a theoretical speed variation; and subtracting the theoretical speed variation from the extrusion speed at the previous feedback time to obtain the theoretical extrusion speed.

6. The method of claim 1, wherein the plastic pelletizing process is controlled by the controller. The method for obtaining the real die blockage ratio comprises: obtaining a speed ratio of the theoretical extrusion speed and the extrusion speed at the previous feedback time, negatively correlating and mapping the square of the speed ratio to obtain the real die blockage ratio.

7. The method of claim 1, wherein the plastic pelletizing process is controlled by the controller. The method for obtaining the optimal feedback adjustment coefficient comprises: negatively correlating and normalizing the real die blockage ratio to obtain a blockage weight, and multiplying the blockage weight and the initial feedback coefficient to obtain the optimal feedback adjustment coefficient.

8. The method of claim 1, wherein the plastic pelletizing process is controlled by the controller. The method for obtaining the optimal feeding speed comprises: multiplying the optimal feedback adjustment coefficient and the extrusion speed at the current feedback time to obtain the optimal feeding speed.

9. A processing control device for plastic pelletizing, characterized by The device comprises: a plastic granulating extruder information acquisition module configured to obtain an extrusion speed sequence of an extrusion port of a granulating extruder between a current feedback time and a previous feedback time; obtain a die zone pressure sequence and a die zone temperature sequence of a die zone inside the extruder; and obtain a screw zone pressure sequence of a screw zone; The blockage judgment module is configured to obtain a correlation coefficient between the extrusion speed sequence and the screw zone pressure sequence; obtain a preliminary blockage feature at a current feedback moment according to the correlation coefficient and fluctuation of the die zone pressure sequence; and obtain a final blockage feature according to a die zone temperature in the die zone temperature sequence and in combination with the preliminary blockage feature; The real die blockage proportion analysis module is configured to obtain a theoretical extrusion speed under the die blockage of the extruder at the current feedback moment according to a difference between the extrusion speeds between the current feedback moment and a previous feedback moment and the final blockage feature; and obtain a real die blockage proportion according to a difference between the theoretical extrusion speed and the extrusion speed at the previous feedback moment. The extrusion speed control module is configured to adjust an initial feedback coefficient at the current feedback moment based on the real die blockage proportion to obtain an optimal feedback adjustment coefficient; and adjust the extrusion speed by using the optimal feedback adjustment coefficient to obtain an optimal feeding speed.

10. A process control system for plastic pelletization, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the plastic pelletizing processing control method according to any one of claims 1-8.

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