Method and device for optimizing continuous extrusion of high-pressure polypropylene insulated cable

Abstract

The invention provides a continuous extrusion optimization method and device for a high-pressure polypropylene insulated cable, and relates to the technical field of polypropylene, and the method comprises the following steps: accessing an extruder system, and reading equipment information, extrusion demand information and raw material information of an extruder; performing control optimization of the extruder, and establishing calibration control parameters; controlling the extruder to perform molding control of the high-pressure polypropylene insulated cable; a temperature sensing network is laid, and first temperature optimization feedback is generated; carrying out extrusion pressure deviation analysis on the extruder, and if an extrusion pressure deviation value meets a deviation threshold value, establishing second temperature optimization feedback; and carrying out continuous extrusion optimization. The technical problem that in the prior art, due to low temperature control precision and large pressure fluctuation, the product quality of the high-pressure polypropylene insulated cable is unstable is solved, precise control and optimization of the continuous extrusion process of the high-pressure polypropylene insulated cable are achieved, and the product quality of the high-pressure polypropylene insulated cable is improved.

Description

Technical Field

[0001] This application relates to the technical field of polypropylene, and particularly to an optimization method and device for continuous extrusion of high-voltage polypropylene insulated cables. Background Art

[0002] As a key material in the field of power transmission and transformation, high-voltage polypropylene insulated cables are widely used in key scenarios such as power transmission, power transmission projects, and urban power grids. The insulating layer usually uses high-purity polypropylene materials and is coated by precision extrusion molding technology to ensure that the cable has excellent insulation performance and mechanical stability under high-voltage, high-temperature, and strong electric field environments. However, in the extrusion molding process of existing high-voltage polypropylene cables, due to insufficient temperature control accuracy and large fluctuations in extrusion pressure, the following problems often occur: First, the temperature distribution of the polypropylene material during extrusion is uneven, which in turn causes unstable melt fluidity, resulting in defects such as uneven thickness, bubbles, and shrinkage holes in the cable insulating layer; Second, pressure control fluctuations will further affect the extrusion rate of the melt, causing phenomena such as surface streaks, core deviation, or uneven cable diameter, which will seriously affect the consistency of the product and the reliability of long-term operation.

[0003] In summary, there is a technical problem in the prior art that due to low temperature control accuracy and large pressure fluctuations, the product quality of high-voltage polypropylene insulated cables is unstable. Summary of the Invention

[0004] The purpose of this application is to provide an optimization method and device for continuous extrusion of high-voltage polypropylene insulated cables to solve the technical problem in the prior art that due to low temperature control accuracy and large pressure fluctuations, the product quality of high-voltage polypropylene insulated cables is unstable.

[0005] In view of the above problems, this application provides an optimization method and device for continuous extrusion of high-voltage polypropylene insulated cables.

[0006] In a first aspect, the present application provides an optimization method for continuous extrusion of high-voltage polypropylene insulated cables. The optimization method for continuous extrusion of high-voltage polypropylene insulated cables is implemented through an optimization device for continuous extrusion of high-voltage polypropylene insulated cables. Among them, the optimization method for continuous extrusion of high-voltage polypropylene insulated cables includes: after accessing the extruder system, reading the equipment information, extrusion demand information, and raw material information of the extruder; performing control optimization of the extruder according to the equipment information, extrusion demand information, and raw material information, establishing calibration control parameters, where the calibration control parameters include extrusion pressure parameters and temperature control parameters, and configuring a hot zone temperature following curve; using the calibration control parameters to control the extruder to perform forming control of high-voltage polypropylene insulated cables; arranging a temperature sensing network in the heating zone and the die zone, using the temperature sensing network to perform temperature monitoring, establishing an actual temperature feedback, and generating a first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve; performing an extrusion pressure deviation analysis on the extruder, if the extrusion pressure deviation value meets the deviation threshold, then establishing a second temperature optimization feedback according to the extrusion pressure deviation value, and the second temperature optimization feedback is a collaborative optimization feedback; performing continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback.

[0007] Optionally, using the equipment information, the extrusion demand information, and the raw material information as matching information, performing a similarity match of the control database, and establishing a similarity match result; after creating an initial solution with the similarity match result, using the equipment information and the raw material information as constraint data, performing a satisfaction optimization under the extrusion demand information; establishing calibration control parameters according to the satisfaction optimization result.

[0008] Optionally, obtaining the historical working data of the extruder, performing a working stability analysis of the extruder according to the historical working data, and establishing a stability compensation; adjusting the satisfaction optimization result with the stability compensation, and then establishing the calibration control parameters.

[0009] Optionally, obtaining the heat transfer sequence of the heating zone and the die zone; performing a deviation analysis of the actual temperature feedback and the hot zone temperature following curve at the first heating position according to the heat transfer sequence, and establishing a first control deviation, where the first heating position is the starting heating position in the heat transfer sequence; obtaining the actual temperature feedback of the second heating position, and performing a deviation analysis using the hot zone temperature following curve, establishing a second control deviation, and compensating for the negative heat transfer impact of the second control deviation based on the actual temperature feedback at the first heating position, and updating the second control deviation; after performing a traversal of the heat transfer negative impact compensation for the heating zone and the die zone according to the heat transfer sequence, generating a first temperature optimization feedback according to all the control deviations.

[0010] Optionally, activate the temperature co-optimization channel, and input the extrusion pressure deviation value and the extrusion demand information as input information into the temperature co-optimization channel; use the temperature co-optimization channel to perform temperature co-control optimization under the extrusion pressure deviation state with the extrusion demand information as the achievement goal, and reconstruct the target temperature; output the reconstructed target temperature as the second temperature optimization feedback.

[0011] Optionally, if the extrusion pressure deviation value does not meet the deviation threshold, generate a pressure adjustment instruction; generate a multi-level pressure tracking fitting scheme according to the pressure adjustment instruction and the pressure deviation value; after optimizing the pressure control of the extruder using the multi-level pressure tracking fitting scheme, perform continuous extrusion optimization according to the pressure control optimization result and the first temperature optimization feedback.

[0012] Optionally, establish a mapped target temperature based on the pressure control optimization result; re-establish temperature control compensation according to the mapped target temperature and the first temperature optimization feedback, and perform continuous extrusion optimization with the temperature control compensation and the pressure control optimization result.

[0013] Optionally, establish a feedback control deviation according to the first temperature optimization feedback; determine the target temperature according to the second temperature optimization feedback, use the target temperature as the control target, perform actual temperature control compensation under the feedback control deviation, and perform continuous extrusion optimization using the actual temperature control compensation result.

[0014] Optionally, perform quality inspection and verification on the formed cable of the extruder to generate a quality inspection and verification result; determine whether the quality inspection and verification result meets the extrusion demand information; establish a detection feedback according to the determination result, and optimize the control parameters of the extruder with the detection feedback.

[0015] Second aspect, the present application also provides an optimization device for continuous extrusion of high-voltage polypropylene insulated cables, which is used to execute the optimization method for continuous extrusion of high-voltage polypropylene insulated cables as described in the first aspect. Among them, the optimization device for continuous extrusion of high-voltage polypropylene insulated cables includes: an extruder information reading module, which is used to read the equipment information, extrusion demand information, and raw material information of the extruder after accessing the extruder system; a control parameter optimization module, which is used to perform control optimization of the extruder according to the equipment information, extrusion demand information, and raw material information, establish calibrated control parameters, the calibrated control parameters include extrusion pressure parameters and temperature control parameters, and configure a hot zone temperature following curve; a forming control module, which is used to use the calibrated control parameters to control the extruder to execute the forming control of high-voltage polypropylene insulated cables; a first optimization feedback module, which is used to deploy a temperature sensing network in the heating zone and the die zone, use the temperature sensing network to perform temperature monitoring, establish an actual temperature feedback, and generate a first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve; a second optimization feedback module, which is used to perform an extrusion pressure deviation analysis on the extruder, and if the extrusion pressure deviation value meets the deviation threshold, establish a second temperature optimization feedback according to the extrusion pressure deviation value, and the second temperature optimization feedback is a collaborative optimization feedback; a continuous extrusion optimization module, which is used to perform continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback.

[0016] One or more technical solutions provided in the present application have at least the following beneficial effects: After accessing the extruder system, read the equipment information, extrusion demand information, and raw material information of the extruder; perform control optimization of the extruder according to the equipment information, extrusion demand information, and raw material information, establish calibrated control parameters, the calibrated control parameters include extrusion pressure parameters and temperature control parameters, and configure a hot zone temperature following curve; use the calibrated control parameters to control the extruder to execute the forming control of high-voltage polypropylene insulated cables; deploy a temperature sensing network in the heating zone and the die zone, use the temperature sensing network to perform temperature monitoring, establish an actual temperature feedback, and generate a first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve; perform an extrusion pressure deviation analysis on the extruder, and if the extrusion pressure deviation value meets the deviation threshold, establish a second temperature optimization feedback according to the extrusion pressure deviation value, and the second temperature optimization feedback is a collaborative optimization feedback; perform continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback. That is to say, obtain the corresponding calibrated control parameters according to the extruder information, execute the forming control of high-voltage polypropylene insulated cables, generate a first temperature optimization feedback according to the temperature sensing network, generate a second temperature optimization feedback according to the pressure deviation analysis, and collaboratively perform continuous extrusion optimization on the extruder, improving the product quality and production efficiency of high-voltage polypropylene insulated cables.

[0017] The above description is only an overview of the technical solution of the present application. In order to better understand the technical means of the present application, it can be implemented according to the content of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the specific embodiments of the present application are specifically exemplified below. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. Brief Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0019] Figure 1 It is a schematic flow chart of the continuous extrusion optimization method for high-voltage polypropylene insulated cables of the present application.

[0020] Figure 2 It is a schematic structural diagram of the continuous extrusion optimization device for high-voltage polypropylene insulated cables of the present application.

[0021] Description of the reference numerals: Extruder information reading module 11, control parameter optimization module 12, forming control module 13, first optimization feedback module 14, second optimization feedback module 15, continuous extrusion optimization module 16. Detailed Description of the Embodiments

[0022] The present application provides a continuous extrusion optimization method and device for high-voltage polypropylene insulated cables, which solves the technical problem in the prior art that the product quality of high-voltage polypropylene insulated cables is unstable due to low temperature control accuracy and large pressure fluctuations. The corresponding calibration control parameters are obtained according to the extruder information, the forming control of the high-voltage polypropylene insulated cable is executed, the first temperature optimization feedback is generated according to the temperature sensing network, the second temperature optimization feedback is generated according to the pressure deviation analysis, and the continuous extrusion of the extruder is optimized collaboratively, improving the product quality and production efficiency of the high-voltage polypropylene insulated cable.

[0023] Next, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application. Additionally, it should be noted that for the sake of description, only the parts related to the present application rather than all are shown in the accompanying drawings.

[0024] Embodiment 1. Please refer to the attached Figure 1 , the present application provides an optimization method for continuous extrusion of high-voltage polypropylene insulated cables. Among them, the optimization method for continuous extrusion of high-voltage polypropylene insulated cables is executed by an optimization device for continuous extrusion of high-voltage polypropylene insulated cables. The optimization method for continuous extrusion of high-voltage polypropylene insulated cables specifically includes the following steps: S100: After accessing the extruder system, read the equipment information, extrusion demand information, and raw material information of the extruder.

[0025] Specifically, access the extruder system. An extruder is a mechanical device mainly used to heat and melt raw materials (such as plastics, polypropylene, etc.) and extrude them into products of the required shape through a die. In the production of high-voltage polypropylene insulated cables, the extruder system is one of the core devices, responsible for the plasticization and forming processes. Collect the equipment information, extrusion demand information, and raw material information of the extruder through sensors and data interfaces. Read the equipment information of the extruder, including the model, production capacity, maintenance records, etc. of the extruder. At the same time, monitor the operating status of the extruder through sensors to obtain parameters such as temperature, pressure, rotation speed, and power.

[0026] Obtain the extrusion demand information from the extrusion demand information input by the operator according to the production plan, that is, the extrusion conditions set according to the production requirements, including the specifications of high-voltage polypropylene insulated cables, extrusion speed, quality requirements, etc. For example, the production requirement is that the outer diameter of the cable is 2.5 mm, or the production speed requirement is 500 meters per minute. The raw material information refers to the detailed parameters of the raw materials used to produce the cable, including the type of raw material (such as polypropylene), particle size, density, fluidity, etc. The parameters of the raw materials are also obtained through the production plan. For example, the particle size and melt flow index of polypropylene will affect the fluidity of the material, and thus affect the temperature control and pressure control during the extrusion process. By accessing the extruder system and real-time reading the equipment information, extrusion demand information, and raw material information, the production process can be accurately monitored and adjusted in real time.

[0027] S200: Optimize the control of the extruder based on the device information, extrusion requirement information, and raw material information, establish calibration control parameters, where the calibration control parameters include extrusion pressure parameters and temperature control parameters, and configure a hot zone temperature following curve.

[0028] Further, S200 of this application includes: Use the device information, the extrusion requirement information, and the raw material information as matching information to perform a similarity match in the control database and establish a similarity match result; after creating an initial solution based on the similarity match result, use the device information and the raw material information as constraint data to perform a satisfaction optimization under the extrusion requirement information; establish calibration control parameters according to the satisfaction optimization result.

[0029] Obtain the historical working data of the extruder, perform a working stability analysis of the extruder based on the historical working data, and establish a stability compensation; after adjusting the satisfaction optimization result using the stability compensation, establish the calibration control parameters.

[0030] Specifically, use the device information, extrusion requirement information, and raw material information as matching information, which is used to perform a similarity match in the control database to find the closest control parameters. The control database is a database that stores various past extrusion process parameters and corresponding product performances. According to the matching information, search for the process parameters in the control database that are most similar to the matching information. Use similarity match algorithms (such as cosine similarity, KNN algorithm, etc.) to compare the matching information with the historical data in the control database, compare the similar conditions in the historical production records, and select the historical data with the closest conditions to the current production conditions for analysis.

[0031] By comparing the current matching information with each historical production record in the control database, the similarity between each record and the current conditions is calculated. Before calculating the similarity, in order to eliminate the influence of different dimensions, it is usually necessary to standardize the data and convert each piece of information into a unified standard form. The similarity between two vectors is calculated through cosine similarity, and the most similar record is selected from them to obtain the similar matching result. For example, the extruder equipment information: the model is EX2000, the production capacity is 1000 meters per hour, and the maintenance record shows that the last maintenance time was 1 month ago; the extrusion requirement information: the required cable outer diameter is 3.5 mm, the production speed is 400 meters per minute, and the quality requirement of the cable is that the insulation layer thickness is 0.5 mm; the raw material information: polypropylene raw material, the particle size is 600 μm, the density is 0.92 g / cm³, and the melt flow index (MFI) is 30. There are two historical records in the control database as follows: Historical record 1: Extruder model: EX2000, production capacity: 950 meters per hour, last maintenance time: 2 months ago; Extrusion requirement: cable outer diameter 3.5 mm, production speed 420 meters per minute, insulation layer thickness 0.55 mm; Raw material information: particle size 650 μm, density 0.93 g / cm³, MFI is 28. Historical record 2: Extruder model: EX1500, production capacity: 850 meters per hour, last maintenance time: 1 month ago; Extrusion requirement: cable outer diameter 3.6 mm, production speed 400 meters per minute, insulation layer thickness 0.5 mm; Raw material information: particle size 600 μm, density 0.92 g / cm³, MFI is 30. Through cosine similarity calculation (after standardizing each feature, calculating the dot product and solving for the modulus length to obtain the similarity value), the cosine similarity between historical record 1 and the current conditions is 0.85, and the cosine similarity between historical record 2 and the current conditions is 0.95. Therefore, historical record 2, which is the closest to the current conditions, is selected as the similar matching result, and the obtained extrusion pressure is 22 MPa, the temperature is 208 °C, and the rotation speed is 30 rpm.

[0032] According to the similar matching result, an initial solution is created, including preliminary process parameters such as temperature, pressure, rotation speed, etc., as the starting point for optimization. During the optimization process, constraint data is used to limit the elements in the search space during the optimization process to ensure that the optimization result meets the actual operating conditions and physical limitations. The equipment information is used as a constraint, that is, the performance parameters of the extruder have practical limitations on the optimization process. For example, the maximum temperature of a certain type of extruder can only reach 220 °C, and exceeding this value may damage the equipment. The raw material information is used as a constraint. The raw material information (such as melt flow index MFI, particle size, density, etc.) determines the processing characteristics. For example, if the MFI value of polypropylene is high, it means that it has good fluidity and can be extruded at a lower temperature; while materials with a low MFI value may require higher temperature and pressure to ensure smooth extrusion.

[0033] According to the extrusion demand information, the optimization goal is to find process parameters that can meet the cable specifications, production speed, and quality requirements. By adjusting the temperature, pressure, rotation speed, etc. of the extruder, the outer diameter, thickness, and insulation layer uniformity of the produced cable meet the requirements. Taking the equipment information and raw material information as constraints, search for an optimal solution that can meet these conditions. Considering multiple indicators such as temperature, pressure, production speed, outer diameter, and quality comprehensively, define the objective function. On the premise of meeting the constraint data, the optimization algorithm starts from the initial solution, gradually adjusts the control parameters, evaluates the quality of the current solution through the objective function after each adjustment, and decides whether to accept the current solution according to the objective function value, and finally finds an optimal solution (or a solution close to the optimal). After several optimization iterations, output a set of optimal control parameters that meet the production requirements and do not exceed the constraints of the equipment and raw materials.

[0034] Obtain the historical working data of the extruder, that is, various working parameters recorded by the extruder during previous production processes, including temperature, pressure, rotation speed, production rate, etc. Use methods such as fluctuation analysis and trend analysis on the historical working data to judge the working stability of the extruder. Fluctuation analysis refers to calculating the standard deviation of the working parameters. If the standard deviation is large, it indicates that the parameters fluctuate greatly and there may be unstable phenomena; trend analysis refers to observing the change trend of the working parameters over time through time series analysis to identify potential long-term unstable phenomena. Through stability analysis, identify unstable factors, such as the decline in stability caused by equipment aging, raw material fluctuations, external environment changes, etc.

[0035] Based on the stability analysis, establish a stability compensation. The stability compensation dynamically adjusts the working parameters to offset possible fluctuations. For example, if the temperature is too high during a certain period, increase the temperature compensation in the control strategy or adjust the output of the cooling system to make up for it. Stability compensation means adjusting the control parameters based on the results of the working stability analysis, combined with the current working state and historical data, so that the extruder is more stable in the current or future working state and reduces the impact of fluctuations on the production process.

[0036] Based on the control parameters obtained in the optimization process, make adjustments through stability compensation to optimize the control parameters, so that even if fluctuations occur during the working process, the quality of the final product can still meet the standards, and calibrated control parameters are obtained. For example, assume that the extrusion pressure in the preliminary optimization result is 22 MPa, the temperature is 208 °C, and the rotation speed is 30 rpm. However, due to historical data analysis, it is found that the temperature may fluctuate during certain periods, so the temperature parameter needs to be compensated and adjusted. The adjusted temperature parameter is 212 °C to ensure stability.

[0037] The calibration control parameters at least include the extrusion pressure parameter and the temperature control parameter, which are used to accurately control various conditions in the production process. The extrusion pressure parameter is the pressure applied to the raw material during the extrusion process, which directly affects the fluidity of the raw material. Too high or too low pressure may affect the quality of the product. The temperature control parameter is the temperature setting value of each heating zone in the extruder, which is crucial for the fluidity, viscosity of the raw material during the extrusion process, and the quality of the final product. Configure the hot zone temperature follow-up curve. The hot zone temperature follow-up curve is a curve that adjusts the temperature setting value of each heating zone according to the temperature change law of different heating zones in the extruder, which is equivalent to the target temperature of each heating zone, and is used to ensure that the temperature changes smoothly during the entire extrusion process, thereby ensuring the consistency of the product.

[0038] Due to different temperature requirements for different heating zones, the temperature follow-up curve can dynamically adjust the temperature of each heating zone to achieve stable control of the production process. The heating zones of the extruder are usually divided into multiple independent zones (such as heating zone 1, heating zone 2, etc.), and the temperature of each zone should be adjusted separately according to the fluidity of the raw material and the forming requirements. For polypropylene insulated cables, the temperature of the heating zones is usually set in different ranges (such as 220°C for heating zone 1, 230°C for zone 2, and 240°C for zone 3) to meet the temperature control requirements at different stages. As the production progresses, the temperature will be affected by factors such as the fluidity of the raw material and changes in the ambient temperature. The temperature follow-up curve dynamically adjusts the temperature settings of each heating zone according to these real-time changes to maintain the stability of the production process. For example, assume that during the production process, the particle size of the raw material is relatively large, resulting in poor fluidity. The temperature of heating zone 1 is automatically increased (such as from 208°C to 212°C) through the hot zone temperature follow-up curve to ensure that the raw material can be fully melted and smoothly pass through the die.

[0039] After performing the stability compensation, recalculate and update the final calibration control parameters as the final operation settings of the extruder to ensure that each link in the production process can operate stably and avoid the impact of fluctuations on the product quality. Through similarity matching and optimization seeking, considering the equipment limitations and raw material characteristics, the best process parameters suitable for the current production requirements can be quickly found, reducing the trial-and-error cost, improving the production efficiency, and ensuring the consistency of the product quality.

[0040] S300: Use the calibration control parameters to control the extruder to perform the forming control of high-voltage polypropylene insulated cables.

[0041] Specifically, according to the determined calibration control parameters, the extruder is controlled to adjust its operating parameters. The extruder is adjusted according to the input calibration control parameters. The heating module adjusts the heating power in real time according to the set temperature to ensure the stability of the internal temperature of the extruder. The pressure module maintains the appropriate extrusion pressure by adjusting the feed rate and screw speed, etc. The extruder starts to execute the forming process of the high-voltage polypropylene insulated cable according to the set calibration control parameters. During the forming process, the extruder precisely controls the extrusion temperature and pressure to ensure that the polypropylene material is extruded in the best state to form a uniform insulating layer. At the same time, the operating state of the extruder is monitored in real time to ensure that the actual process parameters are consistent with the calibration control parameters. By using the calibration control parameters for forming control, the extrusion process becomes more precise and repeatable, improving the production efficiency and product quality of the high-voltage polypropylene insulated cable.

[0042] S400: Arrange a temperature sensing network in the heating zone and the die zone, use the temperature sensing network to perform temperature monitoring, establish an actual temperature feedback, and generate a first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve.

[0043] Further, S400 of the present application includes: Obtain the heat transfer sequence of the heating zone and the die zone; perform deviation analysis on the actual temperature feedback and the hot zone temperature following curve at the first heating position according to the heat transfer sequence to establish a first control deviation, where the first heating position is the starting heating position in the heat transfer sequence; obtain the actual temperature feedback of the second heating position, and perform deviation analysis using the hot zone temperature following curve to establish a second control deviation, and compensate for the negative heat transfer impact of the second control deviation based on the actual temperature feedback at the first heating position to update the second control deviation; after traversing the negative heat transfer impact compensation of the heating zone and the die zone according to the heat transfer sequence, generate a first temperature optimization feedback based on all the control deviations.

[0044] Specifically, temperature sensors are arranged in the heating zone and the die zone of the extruder respectively to monitor the temperature changes in the area in real time and precisely understand the temperature status of each heating area. The temperature sensing network in the heating zone and the die zone is arranged in different areas of the extruder through a group of temperature sensors to monitor the temperature status of these areas in real time. The heating zone is responsible for heating the raw materials to keep them in an appropriate molten state; the die zone forms the heated raw materials through the die to generate the outer sheath of the cable.

[0045] Temperature monitoring is carried out using a temperature sensing network to obtain actual temperature feedback. The actual temperature feedback refers to the real-time temperature data collected by temperature sensors, reflecting the current temperature states of the heating zone and the mold zone. Obtaining the heat transfer sequence of the heating zone and the mold zone reflects the heat transfer process. Generally, the temperature starts to transfer backward from Heating Zone 1 (i.e., the initial heating position), and different temperature changes will occur when transferring between each heating zone and the mold zone. For example, if the temperature of Heating Zone 1 is too low, the temperatures of subsequent heating zones will also be affected, resulting in insufficient temperature in the mold zone and ultimately potentially affecting product quality.

[0046] Obtain the actual temperature feedback corresponding to the first heating position from the heat transfer sequence, that is, obtain the actual temperature of the first heating position, which is usually the entrance position of the heating zone and the starting point of heat transfer during the entire extrusion process. Compare the obtained actual temperature with the preset target temperature (i.e., the temperature value of the heat zone temperature following curve). If there is a difference between the two, it indicates that there is a deviation in the temperature control of this heating zone. Conduct a deviation analysis based on the actual temperature feedback and the temperature at the corresponding position of the heat zone temperature following curve to obtain the first control deviation. For example, compare the actual temperature of the first heating position (such as 215°C) with the target temperature (such as 220°C) set by the heat zone temperature following curve, and the deviation is -5°C. If the actual temperature is lower than the temperature at the corresponding position of the heat zone temperature following curve, it indicates that the temperature control of this heating zone is insufficient and the heating power needs to be increased; otherwise, it indicates overheating and the power needs to be reduced.

[0047] Similarly, obtain the actual temperature feedback of the second heating position, that is, obtain the actual temperature of the second heating position, and perform a deviation analysis using the heat zone temperature following curve to obtain the second control deviation. The second heating position is usually the second heating zone in the heat transfer sequence, located after the first heating position. As the heat transfer progresses, the temperature gradually changes, and the temperature feedback of the second heating position will be affected by the first heating position, so separate control and adjustment are required.

[0048] Since heat transfers from the first heating position to the second heating position, the actual temperature feedback of the first heating position may affect the temperature of the second heating position. For example, if the actual temperature of the first heating position is lower than the target temperature, the temperature of the second heating position will also be affected, resulting in a temperature deviation at the second heating position. Determine the actual second control deviation at the second heating position by compensating for the negative heat transfer impact of the first heating position on the second heating position. That is, calculate the second control deviation based on the actual temperature feedback of the second heating position and the temperature at the corresponding second heating position of the heat zone temperature following curve, and then update the second control deviation by calculating and compensating for the negative heat transfer impact to obtain the updated second control deviation.

[0049] Exemplarily, assume that the target temperature of the first heating position set by the hot zone temperature following curve is 220 °C, and the target temperature of the second heating position is 230 °C. The actual temperature feedback obtained is as follows: the actual temperature of the first heating position is 215 °C, and the actual temperature of the second heating position is 225 °C. Through the temperature deviation analysis of the first heating position, the first control deviation is obtained as -5 °C. Through the temperature deviation analysis of the second heating position, the second control deviation is obtained as -5 °C. Based on the influence of the deviation of the first heating position on the deviation of the second heating position, the preset compensation coefficient is 0.8, and the compensation value is calculated as -5 × 0.8 = -4 °C. Then, the second control deviation is updated to -1 °C.

[0050] Repeat the above steps for the heating zone and the mold zone according to the heat transfer sequence to perform heat transfer negative impact compensation, that is, correct the temperature deviation generated by the heat transfer from one position to another, so as to obtain the first temperature optimization feedback, that is, the actual control deviation of the temperature. Based on the control deviations of all regions, an overall temperature optimization feedback is generated to adjust the heating control strategy of the extruder. The first temperature optimization feedback will include the control deviations of all regions to determine how to adjust the temperature to reduce the temperature fluctuations during the entire production process.

[0051] By arranging the temperature sensing network and performing temperature monitoring, accurately understand the actual temperature conditions of the heating zone and the mold zone of the extruder. By analyzing the heat transfer sequence and control deviations, identify the problems and deficiencies in temperature control, and generate targeted optimization feedback, which helps to improve the temperature control accuracy of the extrusion process, reduce the fluctuations in product quality, and improve production efficiency.

[0052] S500: Conduct an extrusion pressure deviation analysis on the extruder. If the extrusion pressure deviation value meets the deviation threshold, establish a second temperature optimization feedback based on the extrusion pressure deviation value. The second temperature optimization feedback is a collaborative optimization feedback.

[0053] Furthermore, S500 of this application includes: Activate the temperature collaborative optimization channel, input the extrusion pressure deviation value and the extrusion demand information as input information into the temperature collaborative optimization channel; use the temperature collaborative optimization channel to take the extrusion demand information as the achievement goal, perform temperature collaborative control optimization under the extrusion pressure deviation state, and reconstruct the target temperature; output the reconstructed target temperature as the second temperature optimization feedback.

[0054] Specifically, during the extrusion process, the extrusion pressure is monitored and recorded in real time and compared with a preset target pressure. The extrusion pressure deviation analysis is to calculate the difference between the actual extrusion pressure and the target pressure, which reflects the abnormality degree of the current working state of the equipment and can help identify potential equipment failures or process problems. The target pressure is the extrusion pressure parameter in the calibrated control parameters, such as 22 MPa. According to the difference between the actual pressure and the target pressure monitored in real time, the pressure deviation value is calculated.

[0055] A tolerance range, that is, a deviation threshold, is set for the extrusion pressure deviation value. If the extrusion pressure deviation value meets the deviation threshold, that is, within the permitted deviation range, then co-control optimization is carried out according to the temperature, the target temperature is reconstructed, and a second temperature optimization feedback is established. If the extrusion pressure deviation value does not meet the deviation threshold, a pressure adjustment instruction is generated, based on which pressure control optimization is executed, and continuous extrusion optimization is carried out in combination with the temperature optimization feedback.

[0056] The activation temperature co-optimization channel is used to adjust temperature parameters during the extrusion process to work in tandem with the extrusion pressure. According to the extrusion pressure deviation value and relevant production requirements, the temperature parameters are dynamically adjusted to optimize the quality of the final product. The training process of the temperature co-optimization channel aims to enable real-time temperature adjustment in various extrusion pressure deviation situations by repeatedly learning and adjusting control strategies, ensuring that the quality of the final product meets the expected requirements. Historical operation data of the extruder, including temperature data, pressure data, production rate, product quality, etc., are collected and recorded from sensors and production records during the production process. At the same time, feedback data for the corresponding heating zone and die zone, as well as production requirements (such as cable specifications, speed, etc.), are obtained. Define the objective function, that is, the goal of the model is to minimize the production quality difference caused by the deviation between temperature and pressure. Determine the initial model based on existing empirical data or set control rules, and train the model through historical operation data, continuously adjusting the model parameters to make it adapt to different extrusion pressure changes and production requirements. Make real-time adjustments according to the feedback information in actual production (such as pressure deviation value and temperature control deviation). After each adjustment, the model generates a new target temperature and updates the control strategy based on this target temperature. If the extrusion pressure deviation value exceeds the threshold, the model adjusts the temperature strategy to compensate for pressure fluctuations. For example, if the pressure is insufficient, the temperature of the heating zone is increased to ensure the fluidity of polypropylene. Continuously adjust the target temperature to adapt to dynamic changes in the production process, such as pressure fluctuations, temperature changes, production requirement changes, etc. Through multiple rounds of iteration, the training process gradually optimizes the model parameters, enabling the model to accurately predict and adjust the target temperature when facing different pressure fluctuations and production conditions. Use a part of the historical data or simulation data for verification to check whether the trained model can effectively optimize the temperature during the production process and maintain product quality consistency. Evaluate the performance of the model based on the relationship between the optimized temperature control results and the actual product quality. Common evaluation indicators include temperature fluctuations during the production process, product consistency, scrap rate, etc.

[0057] Input the extrusion pressure deviation value and extrusion demand information into the temperature co-optimization channel. Using the extrusion demand information as the target, execute the temperature control optimization algorithm based on the pressure deviation state to determine how to adjust the temperature settings to compensate for insufficient or excessive pressure, thereby maintaining product quality. Temperature co-control optimization is an optimization algorithm based on the existing operating conditions of the extruder, used to automatically adjust and optimize the temperature settings according to the pressure deviation value and extrusion demand information to ensure the best efficiency of the production process and product quality. The optimization goal is to minimize the negative impact caused by pressure deviation and ensure that the extruder can still operate smoothly according to the established production requirements under the new pressure state.

[0058] Through temperature collaborative control optimization, a new target temperature is recalculated according to the current production status and the extrusion pressure deviation value. This new target temperature is more suitable for the current extrusion pressure situation than the original temperature. The reconstructed target temperature is output as the second temperature optimization feedback for adjusting the temperature control of the heating zone and the die zone of the extruder. For example, if the extrusion pressure deviation value is -3 MPa, the extrusion requirement information includes a cable specification of 150 square millimeters and a production speed of 20 meters per minute, and the original target temperature is 230 °C. However, due to the low pressure, the adjusted target temperature should be increased by 5 °C, so the new target temperature is reconstructed as 235 °C.

[0059] Through temperature collaborative optimization, the adverse effects caused by the extrusion pressure deviation are compensated to ensure the best coordination between the temperature and the pressure during the production process, thereby avoiding production stagnation or quality problems caused by pressure fluctuations and ensuring the stability of the production process and the product quality.

[0060] Furthermore, the present application further includes the following steps: If the extrusion pressure deviation value does not meet the deviation threshold, a pressure adjustment instruction is generated; a multi-level pressure following fitting scheme is generated according to the pressure adjustment instruction and the pressure deviation value; after optimizing the pressure control of the extruder by using the multi-level pressure following fitting scheme, continuous extrusion optimization is performed according to the pressure control optimization result and the first temperature optimization feedback.

[0061] A mapped target temperature is established by using the pressure control optimization result; a temperature control compensation is re-established according to the mapped target temperature and the first temperature optimization feedback, and continuous extrusion optimization is performed with the temperature control compensation and the pressure control optimization result.

[0062] Specifically, if the extrusion pressure deviation value does not meet the deviation threshold, that is, it exceeds the permitted deviation range, it is considered that the pressure has seriously deviated from the expected range, and adjustment measures need to be taken. A pressure adjustment instruction is automatically generated, including adjusting some control parameters in the extruder (such as adjusting hydraulic pressure, air pressure or other control parameters) to restore to the set target pressure range. An adjustment instruction is automatically generated according to the current deviation value, including adjusting the working parameters of the hydraulic or pneumatic system, or adjusting the settings of other equipment that affects the pressure. For example, it is required to adjust the extrusion pressure from 33 MPa to 30 MPa to ensure that the pressure returns to the target range.

[0063] According to the pressure adjustment instruction and the pressure deviation value, it involves a multi-level pressure tracking fitting scheme. According to the actual deviation degree of the extrusion pressure, multiple adjustment stages are designed to gradually adjust the pressure back to the target range. For example, at the first level, the pressure is first adjusted from 33 MPa to 31 MPa to quickly approach the target value; at the second level, a more refined adjustment is carried out to adjust the pressure from 31 MPa to 30 MPa; at the third level, for minor fluctuations, continuous fine adjustment is continued until it finally stabilizes at the target pressure of 30 MPa. The multi-level pressure tracking fitting scheme is a step-by-step adjustment strategy that optimizes the extrusion pressure step by step according to the current pressure deviation. Each level represents a different adjustment level, starting from a larger adjustment amplitude and gradually decreasing until the pressure returns to the target range.

[0064] The multi-level pressure tracking fitting scheme is used to optimize the pressure control of the extruder, that is, continuous optimization is carried out to ensure that the pressure is adjusted as required and reduce the quality fluctuations caused by pressure fluctuations. Finally, after multi-level adjustment, the pressure of the extruder is stabilized within the target range (such as 30 MPa). The control optimization result at this time ensures the stability of the production process.

[0065] According to the pressure control optimization result, a mapped target temperature is established, that is, the target temperature obtained by reverse deduction based on the pressure control optimization result. That is to say, based on the change of the extrusion pressure, the ideal temperature required at the corresponding pressure is determined to ensure that while optimizing the pressure, the optimal state of temperature control can also be maintained. According to the mapped temperature target and the first temperature optimization feedback, the temperature control compensation is re-established, and the temperature control parameters are adjusted to compensate for the temperature deviation caused by the pressure change to ensure that the temperature is accurately controlled within the target range, thereby maintaining the stability of the extrusion process and the product quality. That is to say, by analyzing the difference between the mapped target temperature and the first temperature optimization feedback, the temperature control compensation is recalculated. Combining the temperature control compensation and the pressure control optimization result, the temperature and pressure are continuously adjusted to ensure the stability of the extrusion process.

[0066] Exemplarily, the extrusion pressure is adjusted through the pressure control optimization result (target pressure 30 MPa); based on the mapped target temperature (target 230 °C) and the first temperature optimization feedback (actual temperature 228 °C), the system performs temperature control compensation (compensation value 2 °C). After adjustment, the pressure and temperature are continuously monitored in real time. If there are new deviations, adjustments are made again to ensure that the pressure and temperature always remain within the target range. Through this process, the pressure and temperature are continuously adjusted to ensure that each link in the extrusion process can reach the ideal state, ensuring the stability of the quality of the extruded products, while improving production efficiency and reducing waste.

[0067] In summary, during the actual production process, the pressure of the extruder will fluctuate. The pressure of the extruder is monitored in real time and the deviation value is calculated, that is, the difference between the actual extrusion pressure and the target extrusion pressure. If the extrusion pressure deviation value is within the deviation threshold range, the deviation is considered acceptable and further optimization and adjustment can be carried out. If the deviation value exceeds the allowable range, the system needs to be optimized through a pressure adjustment instruction. When the extrusion pressure deviation value meets the deviation threshold, a second temperature optimization feedback is performed, and the temperature is adjusted according to the pressure deviation to ensure that the pressure and temperature work in a relatively coordinated state. In actual operation, when the extrusion pressure increases, the temperature usually needs to be slightly increased to ensure that the material still has appropriate fluidity and processing performance under increased pressure. Conversely, when the extrusion pressure decreases, the temperature may need to be decreased to avoid overheated material affecting the product quality. The second temperature optimization feedback is a collaborative optimization feedback, that is, the temperature and pressure are collaboratively optimized to reach an optimal state during the extrusion process. The temperature is adjusted according to the pressure deviation value to ensure that the material can be smoothly formed at the ideal temperature and pressure during the extrusion process. As the production process continues, continuous feedback adjustment is performed based on the actually measured temperature and pressure data to ensure that the temperature and pressure throughout the extrusion process always remain within the optimized range.

[0068] S600: Perform continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback.

[0069] Furthermore, S600 of the present application includes: Establish a feedback control deviation according to the first temperature optimization feedback; determine a target temperature according to the second temperature optimization feedback, use the target temperature as the control target, perform actual temperature control compensation under the feedback control deviation, and use the actual temperature control compensation result to perform continuous extrusion optimization.

[0070] Specifically, according to the first temperature optimization feedback, a feedback control deviation is established, that is, the degree of temperature deviation in the current operation. The feedback control deviation refers to the difference between the actual temperature and the target temperature. Correction is performed according to the feedback control deviation to make the temperature as close as possible to the expected target, thereby ensuring that the temperature during the production process remains within a suitable range. In the case of pressure deviation, the temperature is adjusted according to the second temperature optimization feedback. For example, when the extrusion pressure deviates from the target pressure, the temperature needs to be adjusted accordingly to ensure the collaborative optimization of temperature and pressure. According to the feedback control deviation and the second temperature optimization feedback, a new target temperature is calculated and output as the optimized target temperature.

[0071] Taking the target temperature as the control objective, temperature control compensation is carried out according to the feedback control deviation (i.e., the difference between the actual temperature and the target temperature). If the actual temperature is lower than the target temperature, the heating power is increased; if the actual temperature is higher than the target temperature, the heating power is decreased. The purpose of compensation is to reduce the temperature difference by adjusting the heating power so that the temperature gradually reaches the target value. For example, assuming the feedback control deviation is +2°C (the actual temperature is lower than the target temperature), the temperature deficiency is compensated by increasing the heating power (such as increasing the heater power or extending the heating time) to adjust the temperature to the target value of 235°C.

[0072] After the temperature is gradually adjusted to the target value through temperature control compensation, real-time optimization is continuously carried out to ensure the stability of the entire basic process. The temperature and pressure are adjusted in real time according to the changing process conditions (such as material characteristics, external environment changes, etc.) to ensure the stability of product quality and the efficiency of the process. In actual production, the extruder may fluctuate due to factors such as material characteristics and environmental temperature. Through continuous optimization, the temperature and pressure can be maintained in the best state within each period of time, thereby improving production quality and product quality.

[0073] Furthermore, the present application further includes the following steps: Carry out quality inspection and verification on the formed cable of the extruder to generate a quality inspection and verification result; judge whether the quality inspection and verification result meets the extrusion requirement information; establish a detection feedback according to the judgment result, and optimize the control parameters of the extruder with the detection feedback.

[0074] Specifically, through the extruder, a cable product is formed. During the extrusion process, raw materials (such as polypropylene or other plastics) are extruded into a specific cable shape through heating and pressurization, and the final cable product is formed through processes such as cooling. After the extrusion process is completed, a comprehensive quality inspection of the cable product must be carried out, including but not limited to the outer diameter and thickness of the cable, whether the cable surface is smooth and free of defects, the mechanical strength of the cable (such as tensile strength, bending performance, etc.), and the insulation performance of the cable (such as insulation resistance, dielectric strength, etc.). The quality inspection and verification result refers to the result obtained after a series of quality inspections (such as dimensions, appearance, mechanical properties, etc.) on the formed cable, usually carried out through sensors, instruments or testing equipment, and the result usually includes whether it meets the predetermined quality standards.

[0075] Quality inspection is usually carried out using measuring instruments (such as laser rangefinders, mechanical property testing equipment, etc.), or automated inspections are carried out through high-resolution cameras and vision inspection systems. For example, assuming the outer diameter of the extruded cable is 10 mm, and the set requirement is 9.8 mm ± 0.1 mm. Through the measuring tool, the actually measured outer diameter of the cable is 10.2 mm, then this cable does not meet the specifications.

[0076] Select a certain number of cable samples from the production line to ensure the representativeness and accuracy of the test results. Usually, the selected samples will follow a certain statistical principle, such as random sampling or sampling according to production batches. Use equipment such as laser rangefinders, calipers, and sensors to measure the outer diameter, wall thickness, and other dimensions of the cable. For example, if the required outer diameter is 9.8mm ± 0.1mm, use the measuring tool to detect the actual outer diameter of the sample. If the measured value is between 9.7mm and 9.9mm, it meets the requirements; otherwise, adjustments are needed. Use a tensile testing machine to test the tensile strength of the cable to ensure that it meets or exceeds the standard requirements, and use a bending test device to test the bending performance and compressive capacity of the cable. For example, if the required tensile strength of the cable is not less than 20MPa and the test result is 18MPa, then the cable fails to meet the requirements and the production process needs to be adjusted.

[0077] Use an insulation resistance tester to detect the insulation resistance of the cable to ensure that its electrical insulation performance meets the standard. Use a dielectric strength tester for electrical testing to ensure the voltage withstand capacity of the cable. Check the cable surface for defects such as bubbles, cracks, and scratches through manual inspection or an automated vision system (such as using a high-resolution camera), and use tools such as a gloss meter to measure the surface finish of the cable to ensure that the surface is smooth and free of defects. Record the results of each test and compare them with the predetermined extrusion requirement information (such as dimensions, tolerances, strength, etc.). According to the standardized test specifications, determine whether the cable meets the requirements. If it does not meet the requirements, record the type and range of deviations.

[0078] Process and analyze all the test data to generate a detailed test report. For example, if the outer diameter of the cable is 10.2mm, the tensile strength is 18MPa, the tolerance range of the outer diameter is 9.8mm ± 0.1mm, and the tensile strength requirement is 20MPa, then the test report will show "the outer diameter is too large and the tensile strength is insufficient". According to the test report, determine whether the cable meets the production standards. If all the test items meet the requirements, the cable is judged to be qualified; if any one of the test items does not meet the requirements, the cable will be judged to be unqualified and the production process needs to be adjusted again.

[0079] Exemplarily, assume that the extrusion requirement information of the cables manufactured by the production line is as follows: the required outer diameter is 9.8mm ± 0.1mm, the required tensile strength is greater than or equal to 20MPa, the required insulation resistance is greater than or equal to 10 12 Ω, and the requirement for surface smoothness is no defects. Three cable samples are selected from the production line and some example data obtained from the quality inspection are shown in Table 1: Table 1 Partial Example Data Table of Quality Inspection

[0080] According to the test results, sample 1: the outer diameter is too large, the tensile strength is slightly lower than the standard, and the surface smoothness is qualified. It is judged to be unqualified; sample 2: all test items meet the requirements and are judged to be qualified; sample 3: the surface smoothness is unqualified, and it is judged to be unqualified. Through quality inspection and verification, it can ensure that the produced cables meet the standards, thereby improving the consistency of products and reducing the occurrence of defective products. Timely discovery of quality problems can prevent unqualified cables from being put on the market or undergoing subsequent processing, reducing resource waste.

[0081] Determine whether the quality inspection and verification results meet the extrusion requirement information, that is, compare the quality inspection and verification results with the preset extrusion requirement information to determine whether they meet the standards. If the test results meet the extrusion requirement information (such as outer diameter, strength, etc.), it means that the production process is qualified, otherwise it means that there is a deviation. If the quality inspection results do not meet the requirements, feedback information is generated to point out the deviation (such as dimensional deviation, insufficient strength, etc.) for further optimization of the operating parameters of the extruder. The inspection feedback content includes dimensional deviation (such as outer diameter does not meet the requirements, the size of the mold needs to be adjusted or the extrusion speed needs to be adjusted), strength problems (such as the mechanical strength of the cable does not meet the standards, the material ratio or temperature setting needs to be adjusted), appearance problems (such as bubbles or unevenness on the cable surface, the temperature or cooling rate needs to be adjusted), etc.

[0082] According to the test feedback, adjust the control parameters of the extruder (such as temperature, pressure, extrusion speed, etc.) to optimize product quality. For example, if the outer diameter of the cable is too large, it may be due to excessive extrusion pressure, resulting in excessive material flow. Reduce the pressure or adjust the pressure distribution to reduce the outer diameter of the cable. If the mechanical strength of the cable is insufficient, it may be due to excessively high or low temperatures, resulting in changes in the physical properties of the material. Adjust the heating temperature and optimize the processing performance of the material. Through continuous quality testing and feedback optimization, ensure that each batch of products can meet the set quality standards and improve the consistency of the production process. Timely discover deviations and make adjustments to avoid the production of a large number of unqualified products, reduce scrap rates, and save raw materials and costs.

[0083] In summary, the high-voltage polypropylene insulated cable continuous extrusion optimization method provided in this application has the following beneficial effects: After accessing the extrusion machine system, read the equipment information, extrusion demand information, and raw material information of the extrusion machine; perform control optimization of the extrusion machine according to the equipment information, extrusion demand information, and raw material information, establish calibration control parameters, the calibration control parameters include extrusion pressure parameters and temperature control parameters, and configure a hot zone temperature following curve; use the calibration control parameters to control the extrusion machine to perform the forming control of high-voltage polypropylene insulated cables; arrange a temperature sensing network in the heating zone and the die zone, use the temperature sensing network to perform temperature monitoring, establish an actual temperature feedback, and generate a first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve; perform an extrusion pressure deviation analysis on the extrusion machine, if the extrusion pressure deviation value meets the deviation threshold, then establish a second temperature optimization feedback according to the extrusion pressure deviation value, and the second temperature optimization feedback is a collaborative optimization feedback; perform continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback. That is to say, obtain the corresponding calibration control parameters according to the extrusion machine information, perform the forming control of high-voltage polypropylene insulated cables, generate a first temperature optimization feedback according to the temperature sensing network, generate a second temperature optimization feedback according to the pressure deviation analysis, and collaboratively perform continuous extrusion optimization on the extruder, improving the product quality and production efficiency of high-voltage polypropylene insulated cables.

[0084] Embodiment 2, based on the same inventive concept as the continuous extrusion optimization method of high-voltage polypropylene insulated cables in the foregoing Embodiment 1, the present application also provides a continuous extrusion optimization device for high-voltage polypropylene insulated cables. Please refer to the attached Figure 2 , the continuous extrusion optimization device for high-voltage polypropylene insulated cables includes: An extrusion machine information reading module 11, configured to read the equipment information, extrusion demand information, and raw material information of the extrusion machine after accessing the extrusion machine system; a control parameter optimization module 12, configured to perform control optimization of the extrusion machine according to the equipment information, extrusion demand information, and raw material information, establish calibration control parameters, the calibration control parameters include extrusion pressure parameters and temperature control parameters, and configure a hot zone temperature following curve; a forming control module 13, configured to use the calibration control parameters to control the extrusion machine to perform the forming control of high-voltage polypropylene insulated cables; a first optimization feedback module 14, configured to arrange a temperature sensing network in the heating zone and the die zone, use the temperature sensing network to perform temperature monitoring, establish an actual temperature feedback, and generate a first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve; a second optimization feedback module 15, configured to perform an extrusion pressure deviation analysis on the extrusion machine, if the extrusion pressure deviation value meets the deviation threshold, then establish a second temperature optimization feedback according to the extrusion pressure deviation value, and the second temperature optimization feedback is a collaborative optimization feedback; a continuous extrusion optimization module 16, configured to perform continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback.

[0085] Furthermore, the control parameter optimization module 12 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: Using the equipment information, the extrusion requirement information, and the raw material information as matching information, perform a similarity match of the control database to establish a similarity match result; after creating an initial solution based on the similarity match result, use the equipment information and the raw material information as constraint data to perform optimization to meet the extrusion requirement information; establish calibrated control parameters according to the optimization result to meet the requirements.

[0086] Furthermore, the control parameter optimization module 12 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: Obtain the historical working data of the extruder, perform a working stability analysis of the extruder based on the historical working data, and establish a stability compensation; after adjusting the optimization result to meet the requirements using the stability compensation, establish the calibrated control parameters.

[0087] Furthermore, the first optimization feedback module 14 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: Obtain the heat transfer sequence of the heating zone and the die zone; perform an actual temperature feedback at the first heating position and a deviation analysis of the heat zone temperature following curve based on the heat transfer sequence to establish a first control deviation, where the first heating position is the starting heating position in the heat transfer sequence; obtain the actual temperature feedback at the second heating position, perform a deviation analysis using the heat zone temperature following curve, establish a second control deviation, and compensate for the negative heat transfer impact of the second control deviation based on the actual temperature feedback at the first heating position to update the second control deviation; after traversing the negative heat transfer impact compensation of the heating zone and the die zone according to the heat transfer sequence, generate a first temperature optimization feedback based on all the control deviations.

[0088] Furthermore, the second optimization feedback module 15 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: Activate the temperature collaborative optimization channel, input the extrusion pressure deviation value and the extrusion requirement information as input information into the temperature collaborative optimization channel; use the temperature collaborative optimization channel to perform temperature collaborative control optimization in the state of extrusion pressure deviation with the extrusion requirement information as the target to be achieved, and reconstruct the target temperature; output the reconstructed target temperature as the second temperature optimization feedback.

[0089] Furthermore, the second optimization feedback module 15 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: If the extrusion pressure deviation value cannot meet the deviation threshold, a pressure adjustment instruction is generated; a multi-level pressure tracking fitting scheme is generated according to the pressure adjustment instruction and the pressure deviation value; after optimizing the pressure control of the extruder by using the multi-level pressure tracking fitting scheme, continuous extrusion optimization is performed according to the pressure control optimization result and the first temperature optimization feedback.

[0090] Further, the second optimization feedback module 15 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: Establish a mapped target temperature by using the pressure control optimization result; re-establish temperature control compensation according to the mapped target temperature and the first temperature optimization feedback, and perform continuous extrusion optimization with the temperature control compensation and the pressure control optimization result.

[0091] Further, the continuous extrusion optimization module 16 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: Establish a feedback control deviation according to the first temperature optimization feedback; determine a target temperature according to the second temperature optimization feedback, take the target temperature as a control target, perform actual temperature control compensation under the feedback control deviation, and perform continuous extrusion optimization by using the actual temperature control compensation result.

[0092] Further, the continuous extrusion optimization module 16 in the continuous extrusion optimization device for high-voltage polypropylene insulated cables is further configured to: Perform quality inspection and verification on the formed cable of the extruder to generate a quality inspection and verification result; determine whether the quality inspection and verification result meets the extrusion requirement information; establish a detection feedback according to the judgment result, and optimize the control parameters of the extruder with the detection feedback.

[0093] The various embodiments in this specification are described in a progressive manner, and the key points of each embodiment are the differences from other embodiments. The Figure 1 High-voltage polypropylene insulated cable continuous extrusion optimization method and specific examples in the first embodiment are equally applicable to the high-voltage polypropylene insulated cable continuous extrusion optimization device in this embodiment. Through the detailed description of the high-voltage polypropylene insulated cable continuous extrusion optimization method above, those skilled in the art can clearly know the high-voltage polypropylene insulated cable continuous extrusion optimization device in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be described in detail here.

[0094] The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0095] Obviously, those skilled in the art can make several improvements and modifications to the present application without departing from the principles thereof, and these improvements and modifications also fall within the protection scope of the present application.

Claims

1. Optimization method for continuous extrusion of high-voltage polypropylene insulated cables, characterized in that, Including: After accessing the extruder system, read the equipment information, extrusion demand information, and raw material information of the extruder; Based on the equipment information, extrusion demand information, and raw material information, conduct control optimization of the extruder, establish calibration control parameters, the calibration control parameters include extrusion pressure parameters and temperature control parameters, and configure a hot zone temperature following curve; Use the calibration control parameters to control the extruder to perform the forming control of high-voltage polypropylene insulated cables; Deploy a temperature sensing network in the heating zone and the die zone, use the temperature sensing network to perform temperature monitoring, establish an actual temperature feedback, and generate a first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve; Conduct an extrusion pressure deviation analysis on the extruder. If the extrusion pressure deviation value meets the deviation threshold, establish a second temperature optimization feedback based on the extrusion pressure deviation value, and the second temperature optimization feedback is a collaborative optimization feedback; Conduct continuous extrusion optimization based on the first temperature optimization feedback and the second temperature optimization feedback.

2. The continuous extrusion optimization method for high-voltage polypropylene insulated cables according to claim 1, wherein The generating of the first temperature optimization feedback based on the actual temperature feedback and the hot zone temperature following curve includes: Obtain the heat transfer sequence of the heating zone and the die zone; Conduct a deviation analysis of the actual temperature feedback and the hot zone temperature following curve at the first heating position according to the heat transfer sequence, and establish a first control deviation, where the first heating position is the starting heating position in the heat transfer sequence; Obtain the actual temperature feedback of the second heating position, and use the hot zone temperature following curve to perform deviation analysis, establish a second control deviation, and compensate for the negative heat transfer impact of the second control deviation based on the actual temperature feedback at the first heating position to update the second control deviation; After traversing the compensation for the negative heat transfer impact of the heating zone and the die zone according to the heat transfer sequence, generate a first temperature optimization feedback based on all the control deviations.

3. The continuous extrusion optimization method of the high-voltage polypropylene insulated cable according to claim 1, characterized in that, The establishing of the second temperature optimization feedback based on the extrusion pressure deviation value if the extrusion pressure deviation value meets the deviation threshold includes: Activate the temperature collaborative optimization channel, and input the extrusion pressure deviation value and the extrusion demand information as input information into the temperature collaborative optimization channel; Use the temperature collaborative optimization channel to perform temperature collaborative control optimization under the extrusion pressure deviation state with the extrusion demand information as the achievement target, and reconstruct the target temperature; Output the reconstructed target temperature as the second temperature optimization feedback.

4. The continuous extrusion optimization method for high-voltage polypropylene insulated cables as described in claim 3, characterized in that, The conducting of continuous extrusion optimization based on the first temperature optimization feedback and the second temperature optimization feedback includes: Establish a feedback control deviation based on the first temperature optimization feedback; Determine the target temperature according to the second temperature optimization feedback, use the target temperature as the control target, perform actual temperature control compensation under the feedback control deviation, and use the actual temperature control compensation result to conduct continuous extrusion optimization.

5. The continuous extrusion optimization method for high-voltage polypropylene insulated cables according to claim 1, characterized in that The conducting of the extrusion pressure deviation analysis on the extruder further includes: If the extrusion pressure deviation value does not meet the deviation threshold, generate a pressure adjustment instruction; Generate a multi-level pressure following fitting scheme based on the pressure adjustment instruction and the pressure deviation value; After optimizing the pressure control of the extruder using the multi-level pressure tracking fitting scheme, continuous extrusion optimization is performed based on the pressure control optimization result and the first temperature optimization feedback.

6. The continuous extrusion optimization method of the high-voltage polypropylene insulated cable as claimed in claim 5, characterized in that, The continuous extrusion optimization performed according to the pressure control optimization result and the first temperature optimization feedback includes: Establishing a mapped target temperature using the pressure control optimization result; Re-establishing a temperature control compensation based on the mapped target temperature and the first temperature optimization feedback, and performing continuous extrusion optimization with the temperature control compensation and the pressure control optimization result.

7. The continuous extrusion optimization method of the high-voltage polypropylene insulated cable according to claim 1, characterized in that, The control optimization of the extruder based on the equipment information, extrusion demand information, and raw material information to establish calibrated control parameters includes: Using the equipment information, extrusion demand information, and raw material information as matching information to perform similarity matching of the control database and establish a similarity matching result; After creating an initial solution with the similarity matching result, using the equipment information and raw material information as constraint data to perform satisfaction optimization under the extrusion demand information; Establishing calibrated control parameters based on the satisfaction optimization result.

8. The continuous extrusion optimization method for high-voltage polypropylene insulated cables as described in claim 7, characterized in that, The establishment of calibrated control parameters based on the satisfaction optimization result includes: Obtaining the historical working data of the extruder, performing a working stability analysis of the extruder based on the historical working data, and establishing a stability compensation; After adjusting the satisfaction optimization result using the stability compensation, establishing the calibrated control parameters.

9. The continuous extrusion optimization method for high-voltage polypropylene insulated cables as described in claim 1, characterized in that The continuous extrusion optimization performed according to the first temperature optimization feedback and the second temperature optimization feedback includes: Performing quality inspection and verification on the formed cable of the extruder to generate a quality inspection and verification result; Determining whether the quality inspection and verification result meets the extrusion demand information; Establishing a detection feedback based on the determination result and optimizing the control parameters of the extruder with the detection feedback.

10. High-voltage polypropylene insulated cable continuous extrusion optimization device, characterized in that, Steps for implementing the high-voltage polypropylene insulated cable continuous extrusion optimization method according to any one of claims 1 to 9, the high-voltage polypropylene insulated cable continuous extrusion optimization device includes: An extruder information reading module for reading the equipment information, extrusion demand information, and raw material information of the extruder after accessing the extruder system; A control parameter optimization module for performing control optimization of the extruder based on the equipment information, extrusion demand information, and raw material information to establish calibrated control parameters, the calibrated control parameters including extrusion pressure parameters and temperature control parameters, and configuring a hot zone temperature tracking curve; A forming control module for controlling the extruder to perform forming control of the high-voltage polypropylene insulated cable using the calibrated control parameters; A first optimization feedback module for arranging a temperature sensing network in the heating zone and the die zone, performing temperature monitoring using the temperature sensing network to establish an actual temperature feedback, and generating a first temperature optimization feedback with the actual temperature feedback and the hot zone temperature tracking curve; A second optimization feedback module for performing an extrusion pressure deviation analysis on the extruder, and if the extrusion pressure deviation value meets the deviation threshold, establishing a second temperature optimization feedback based on the extrusion pressure deviation value, the second temperature optimization feedback being a collaborative optimization feedback; A continuous extrusion optimization module for performing continuous extrusion optimization based on the first temperature optimization feedback and the second temperature optimization feedback.

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