Method and apparatus for continuous extrusion optimization of high voltage polypropylene insulated cables

Abstract

The application provides a high-voltage polypropylene insulated cable continuous extrusion optimization method and device, relates to the technical field of polypropylene, and the method comprises the following steps: accessing an extruder system, reading device information, extrusion requirement information and raw material information of the extruder; performing control optimization of the extruder, and establishing calibration control parameters; controlling the extruder to perform forming control of the high-voltage polypropylene insulated cable; laying a temperature sensing network, and generating a first temperature optimization feedback; performing extrusion pressure deviation analysis on the extruder, and if the extrusion pressure deviation value meets a deviation threshold value, a second temperature optimization feedback is established; and performing continuous extrusion optimization. The application solves the technical problem that the product quality of the high-voltage polypropylene insulated cable is unstable due to low temperature control precision and large pressure fluctuation in the prior art, realizes accurate control and optimization of the continuous extrusion process of the high-voltage polypropylene insulated cable, and improves the product quality of the high-voltage polypropylene insulated cable.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of polypropylene, in particular to a high-pressure polypropylene insulated cable continuous extrusion optimization method and device. BACKGROUND

[0002] As a key material in the field of power transmission and transformation, high-pressure polypropylene insulated cables are widely used in key scenarios such as power transmission, power transmission engineering, and urban power grids. The insulation layer usually adopts high-purity polypropylene material and is coated by precise extrusion molding technology to ensure that the cable has excellent insulation performance and mechanical stability in high-pressure, high-temperature, and strong electric field environments. However, due to the inaccuracy of temperature and pressure control, the following problems often occur during the extrusion molding process of existing high-pressure polypropylene cables: first, the temperature distribution of polypropylene material during extrusion is uneven, which further causes unstable melt flowability, resulting in uneven thickness, bubbles, shrinkage, and other defects in the cable insulation layer; second, pressure control fluctuations will further affect the extrusion rate of the melt, causing surface scratches, core deviation, or uneven cable diameter, which seriously affects the consistency and long-term reliability of the product.

[0003] In summary, the existing technology has the technical problem of unstable product quality of high-pressure polypropylene insulated cables due to low temperature control accuracy and large pressure fluctuations. SUMMARY

[0004] The purpose of the present application is to provide a high-pressure polypropylene insulated cable continuous extrusion optimization method and device to solve the technical problem of unstable product quality of high-pressure polypropylene insulated cables due to low temperature control accuracy and large pressure fluctuations in the existing technology.

[0005] In view of the above problems, the present application provides a high-pressure polypropylene insulated cable continuous extrusion optimization method and device.

[0006] In a first aspect, the application provides a high-voltage polypropylene insulated cable continuous extrusion optimization method, which is realized by a high-voltage polypropylene insulated cable continuous extrusion optimization device. The method comprises the following steps: after accessing an extruder system, reading device information, extrusion requirement information and raw material information of the extruder; performing control optimization of the extruder according to the device information, the extrusion requirement information and the raw material information, establishing calibration control parameters, the calibration control parameters comprising extrusion pressure parameters, temperature control parameters and a hot zone temperature following curve; controlling the extruder to perform forming control of the high-voltage polypropylene insulated cable by using the calibration control parameters; arranging a temperature sensing network in a heating zone and a mold zone, performing temperature monitoring by using the temperature sensing network, establishing actual temperature feedback, generating first temperature optimization feedback according to the actual temperature feedback and the hot zone temperature following curve; performing extrusion pressure deviation analysis on the extruder, and if the extrusion pressure deviation value meets a deviation threshold, establishing second temperature optimization feedback according to the extrusion pressure deviation value, the second temperature optimization feedback being a cooperative optimization feedback; and performing continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback.

[0007] Optionally, the device information, the extrusion requirement information and the raw material information are taken as matching information to perform similar matching of a control database, and a similar matching result is established. After an initial solution is created according to the similar matching result, the device information and the raw material information are taken as constraint data to perform satisfaction optimization under the extrusion requirement information. The calibration control parameters are established according to a satisfaction optimization result.

[0008] Optionally, historical working data of the extruder is obtained, working stability analysis of the extruder is performed according to the historical working data, and stability compensation is established. After the satisfaction optimization result is adjusted by using the stability compensation, the calibration control parameters are established.

[0009] Optionally, heat transfer sequences of the heating zone and the mold zone are obtained. Deviation analysis of actual temperature feedback under a first heating position and the hot zone temperature following curve is performed according to the heat transfer sequences, a first control deviation is established, and the first heating position is a starting heating position in the heat transfer sequences. Actual temperature feedback of a second heating position is obtained, deviation analysis is performed by using the hot zone temperature following curve, a second control deviation is established, heat transfer negative influence compensation of the second control deviation is performed based on the actual temperature feedback under the first heating position, and the second control deviation is updated. After heat transfer negative influence compensation of the heating zone and the mold zone is performed according to the heat transfer sequences, the first temperature optimization feedback is generated according to all control deviations.

[0010] Optionally, the activation temperature coordination optimization channel is used to input the extrusion pressure deviation value and the extrusion demand information as input information, and to perform temperature coordination control optimization in the extrusion pressure deviation state to reconstruct a target temperature by taking the extrusion demand information as an achievement target.

[0011] Optionally, if the extrusion pressure deviation value cannot satisfy the deviation threshold value, a pressure adjustment instruction is generated, a multi-level pressure pursuit fitting scheme is generated according to the pressure adjustment instruction and the pressure deviation value, and after pressure control optimization of the extruder is performed by using the multi-level pressure pursuit fitting scheme, continuous extrusion optimization is performed according to a pressure control optimization result and the first temperature optimization feedback.

[0012] Optionally, a mapping target temperature is established by using the pressure control optimization result, and temperature control compensation is re-established according to the mapping target temperature and the first temperature optimization feedback, so as to perform continuous extrusion optimization by using the temperature control compensation and the pressure control optimization result.

[0013] Optionally, a feedback control deviation is established according to the first temperature optimization feedback, a target temperature is determined according to the second temperature optimization feedback, actual temperature control compensation under the feedback control deviation is performed by taking the target temperature as a control target, and continuous extrusion optimization is performed by using an actual temperature control compensation result.

[0014] Optionally, quality detection verification of the extruder is performed to generate a quality detection verification result, it is judged whether the quality detection verification result satisfies the extrusion demand information, and a detection feedback is established according to a judgment result to optimize control parameters of the extruder.

[0015] In a second aspect, the application further provides a high-voltage polypropylene insulated cable continuous extrusion optimization device for performing the high-voltage polypropylene insulated cable continuous extrusion optimization method of the first aspect, wherein the high-voltage polypropylene insulated cable continuous extrusion optimization device comprises: an extruder information reading module for reading device information, extrusion requirement information, and raw material information of an extruder after accessing an extruder system; a control parameter optimization module for performing control optimization of the extruder according to the device information, the extrusion requirement information, and the raw material information, establishing calibration control parameters, the calibration control parameters comprising extrusion pressure parameters and temperature control parameters, and configuring a hot zone temperature following curve; a molding control module for controlling the extruder to perform molding control of the high-voltage polypropylene insulated cable by using the calibration control parameters; a first optimization feedback module for arranging a temperature sensing network in a heating zone and a mold zone, performing temperature monitoring by using the temperature sensing network, establishing actual temperature feedback, and generating first temperature optimization feedback according to the actual temperature feedback and the hot zone temperature following curve; a second optimization feedback module for performing extrusion pressure deviation analysis on the extruder, establishing second temperature optimization feedback according to an extrusion pressure deviation value if the extrusion pressure deviation value meets a deviation threshold value, the second temperature optimization feedback being a collaborative optimization feedback; and a continuous extrusion optimization module for performing continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback.

[0016] The one or more technical solutions provided in the application have at least the following beneficial effects:

[0017] By reading device information, extrusion requirement information, and raw material information of an extruder after accessing an extruder system, performing control optimization of the extruder according to the device information, the extrusion requirement information, and the raw material information, establishing calibration control parameters, the calibration control parameters comprising extrusion pressure parameters and temperature control parameters, and configuring a hot zone temperature following curve, controlling the extruder to perform molding control of the high-voltage polypropylene insulated cable by using the calibration control parameters, arranging a temperature sensing network in a heating zone and a mold zone, performing temperature monitoring by using the temperature sensing network, establishing actual temperature feedback, generating first temperature optimization feedback according to the actual temperature feedback and the hot zone temperature following curve, performing extrusion pressure deviation analysis on the extruder, establishing second temperature optimization feedback according to an extrusion pressure deviation value if the extrusion pressure deviation value meets a deviation threshold value, the second temperature optimization feedback being a collaborative optimization feedback, and performing continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback, that is, corresponding calibration control parameters are obtained according to extruder information, molding control of the high-voltage polypropylene insulated cable is performed, first temperature optimization feedback is generated according to a temperature sensing network, second temperature optimization feedback is generated according to pressure deviation analysis, the extruder is continuously extruded and optimized in collaboration, and the product quality and production efficiency of the high-voltage polypropylene insulated cable are improved.

[0018] The above description is only a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application, and to implement the same according to the contents of the specification, and in order to enable the above and other purposes, features and advantages of the present application to be more apparent and easy to understand, the following specific embodiments of the present application are described. It should be understood that the contents described in this part are not intended to identify the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only exemplary, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the provided drawings.

[0020] Figure 1 The flowchart of the continuous extrusion optimization method for high-voltage polypropylene insulated cable of the present application.

[0021] Figure 2 The structural diagram of the continuous extrusion optimization device for high-voltage polypropylene insulated cable of the present application.

[0022] Explanation of reference signs: extruder information reading module 11, control parameter optimization module 12, molding control module 13, first optimization feedback module 14, second optimization feedback module 15, continuous extrusion optimization module 16. DETAILED DESCRIPTION

[0023] The present application provides a continuous extrusion optimization method and device for high-voltage polypropylene insulated cable, which solves the technical problem of unstable product quality of high-voltage polypropylene insulated cable caused by low temperature control precision and large pressure fluctuation in the prior art. The corresponding calibration control parameters are obtained according to the extruder information, the molding control of the high-voltage polypropylene insulated cable is performed, 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 optimization of the extruder is performed, thereby improving the product quality and production efficiency of the high-voltage polypropylene insulated cable.

[0024] Below, the technical solutions in the present application will be described clearly and completely with reference to the 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. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application. In addition, it should be noted that, for the convenience of description, only parts related to the present application are shown in the drawings, not all.

[0025] Embodiment one, please refer to the attached Figure 1 The present application provides a high-voltage polypropylene insulated cable continuous extrusion optimization method, wherein the high-voltage polypropylene insulated cable continuous extrusion optimization method is executed by a high-voltage polypropylene insulated cable continuous extrusion optimization device, and the high-voltage polypropylene insulated cable continuous extrusion optimization method specifically comprises the following steps:

[0026] S100: After accessing the extruder system, read the device information, extrusion requirement information and raw material information of the extruder.

[0027] Specifically, access the extruder system. The extruder is a mechanical device mainly used for heating and melting raw materials (such as plastics, polypropylene, etc.) and extruding them into products of desired shape through a die. In the production of high-voltage polypropylene insulated cable, the extruder system is one of the core devices responsible for plasticizing and molding process. The device information, extrusion requirement information and raw material information of the extruder are collected through sensors and data interfaces. The device information of the extruder includes the model, production capacity, maintenance record, etc. of the extruder. At the same time, the running state of the extruder is monitored through sensors to obtain parameters such as temperature, pressure, speed, power, etc.

[0028] The extrusion requirement information is obtained from the extrusion requirement information input by the operator according to the production plan, i.e. the extrusion conditions set according to the production requirements, including the specifications of high-voltage polypropylene insulated cable, extrusion speed, quality requirements, etc. For example, the production requires the outer diameter of the cable to be 2.5 mm, or the production speed requires 500 meters per minute. The raw material information refers to the detailed parameters of the raw materials used for producing the cable, including the type (such as polypropylene), particle size, density, flowability, etc. of the raw materials. 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 flowability of the material, and thus affect the temperature control and pressure control during the extrusion process. By accessing the extruder system and reading the device information, extrusion requirement information and raw material information in real time, the production process can be accurately monitored and adjusted in real time.

[0029] S200: According to the equipment information, extrusion requirement information, and raw material information, control optimization of the extruder is performed, calibration control parameters are established, and the calibration control parameters include extrusion pressure parameters, temperature control parameters, and a hot zone temperature following curve is configured.

[0030] Further, the present application S200 includes:

[0031] The equipment information, the extrusion requirement information, and the raw material information are used as matching information to perform similar matching of a control database, and a similar matching result is established. After an initial solution is created based on the similar matching result, the equipment information and the raw material information are used as constraint data to perform satisfaction optimization under the extrusion requirement information. Calibration control parameters are established based on a satisfaction optimization result.

[0032] Historical working data of the extruder are obtained, working stability analysis of the extruder is performed based on the historical working data, and stability compensation is established. After the satisfaction optimization result is adjusted using the stability compensation, the calibration control parameters are established.

[0033] Specifically, the equipment information, the extrusion requirement information, and the raw material information are used as matching information to perform similar matching in a control database, and the closest control parameters are found. The control database is a database that stores various extrusion process parameters and corresponding product performance in the past. According to the matching information, process parameters most similar to the matching information are found in the control database. Similar matching algorithms (such as cosine similarity, KNN algorithm, etc.) are used to compare the matching information with historical data in the control database, similar conditions in historical production records are compared, and historical data with conditions closest to the current production conditions are selected for analysis.

[0034] The similarity of each record to the current condition is calculated by comparing the current matching information with each historical production record in the control database. Before calculating the similarity, the data is usually standardized to eliminate the influence of different dimensions and convert each item of information into a uniform standard form. The similarity between two vectors is calculated by cosine similarity, and the most similar record is selected to obtain the similar matching result. For example, the extruder equipment information: model EX2000, production capacity 1000 meters / hour, and maintenance record shows that the last maintenance time was 1 month ago; the extrusion demand information: requires cable outer diameter 3.5 mm, production speed 400 meters / minute, and cable quality requirement insulation layer thickness 0.5 mm; raw material information: polypropylene raw material, particle size 600 μm, density 0.92 g / cm³, and melt flow index (MFI) 30. There are two historical records in the control database as follows: historical record 1: extruder model EX2000, production capacity 950 meters / hour, last maintenance time 2 months ago; extrusion demand: cable outer diameter 3.5 mm, production speed 420 meters / minute, insulation layer thickness 0.55 mm; raw material information: particle size 650 μm, density 0.93 g / cm³, and MFI 28. Historical record 2: extruder model EX1500, production capacity 850 meters / hour, last maintenance time 1 month ago; extrusion demand: cable outer diameter 3.6 mm, production speed 400 meters / minute, insulation layer thickness 0.5 mm; raw material information: particle size 600 μm, density 0.92 g / cm³, and MFI 30. The cosine similarity of historical record 1 to the current condition is 0.85, and the cosine similarity of historical record 2 to the current condition is 0.95, calculated by cosine similarity (after standardizing each feature, calculating the dot product and solving the length, the similarity value is obtained). Therefore, the historical record 2 closest to the current condition is selected as the similar matching result, and the extrusion pressure is 22 MPa, the temperature is 208°C, and the speed is 30 rpm.

[0035] According to the similar matching result, an initial solution is created, including preliminary process parameters such as temperature, pressure, and speed, as the starting point for optimization. In the optimization process, constraint data is used to limit the search space of the optimization process, ensuring that the optimization result meets the actual operating conditions and physical limitations. The equipment information is used as a constraint, i.e., the performance parameters of the extruder have actual limitations on the optimization process. For example, the maximum temperature of a certain model of extruder can only reach 220°C, and exceeding this value may damage the equipment. The raw material information is used as a constraint, and the raw material information (such as melt flow index MFI, particle size, and density) determines the processing characteristics. For example, a high MFI value of polypropylene means that it has good flowability and can be extruded at a lower temperature; while a low MFI value of the material may require higher temperature and pressure to ensure smooth extrusion.

[0036] According to the extrusion requirement 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, speed, etc. of the extruder, so that the produced cable outer diameter, thickness and insulation layer uniformity, etc. meet the requirements. By taking the equipment information and raw material information as constraint conditions, an optimal solution that meets these conditions is searched. Considering multiple indicators such as temperature, pressure, production speed, outer diameter, quality, etc., a target function is defined. Under the premise of meeting the constraint data, the optimization algorithm starts from the initial solution, gradually adjusts the control parameters, and after each adjustment, the quality of the current solution is evaluated by the target function, and whether to accept the current solution is decided according to the target function value, and finally an optimal solution (or a solution close to the optimal solution) is found. After several optimization iterations, a set of optimal control parameters is output, which meets the production requirements and does not exceed the constraints of equipment and raw materials.

[0037] The historical working data of the extruder is obtained, that is, the working parameters recorded by the extruder in the previous production process, including temperature, pressure, speed, production rate, etc. The working stability of the extruder is judged by methods such as fluctuation analysis and trend analysis of the historical working data. Fluctuation analysis refers to calculating the standard deviation of the working parameters. If the standard deviation is large, it indicates that the parameter fluctuation is large, and there may be instability; trend analysis refers to observing the trend of the working parameters over time through time series analysis to identify potential long-term instability. Through stability analysis, unstable factors are identified, such as stability decline due to equipment aging, raw material fluctuation, and external environmental changes.

[0038] On the basis of stability analysis, stability compensation is established. Stability compensation adjusts the working parameters dynamically to offset possible fluctuations. For example, if the temperature is too high for a certain period of time, temperature compensation is added in the control strategy, or the output of the cooling system is adjusted to compensate. Stability compensation refers to adjusting the control parameters based on the results of working stability analysis, combining 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.

[0039] Based on the control parameters obtained in the optimization process, the control parameters are adjusted through stability compensation to optimize the control parameters, so that even if fluctuations occur during the working process, the final product quality can still meet the standard, and the calibrated control parameters are obtained. For example, suppose the extrusion pressure in the preliminary optimization result is 22 MPa, the temperature is 208℃, and the speed is 30 rpm. However, due to historical data analysis, it is found that the temperature may fluctuate at some time, so the temperature parameter needs to be adjusted. The adjusted temperature parameter is 212℃ to ensure stability.

[0040] The calibration control parameters at least include extrusion pressure parameters and temperature control parameters for precisely controlling various conditions in the production process. The extrusion pressure parameters are the pressure applied to the raw materials during the extrusion process, which directly affects the flowability of the raw materials. Too high or too low pressure can affect the quality of the product. The temperature control parameters are the temperature setting values of each heating zone in the extruder, which are crucial for the flowability and viscosity of the raw materials during the extrusion process and the quality of the final product. The hot zone temperature following curve is configured, which is a curve for adjusting the temperature setting value of each heating zone according to the temperature change law of different heating zones in the extruder, equivalent to the target temperature of each heating zone, for ensuring smooth temperature change in the entire extrusion process and thus ensuring product consistency.

[0041] Since the temperature requirements of different heating zones are different, the temperature following curve can dynamically adjust the temperature of each heating zone to achieve smooth control of the production process. The heating zones of the extruder are usually divided into multiple independent areas (such as heating zone 1, heating zone 2, etc.), and the temperature of each area should be adjusted individually according to the flowability of the raw materials and the molding requirements. For polypropylene insulated cables, the temperature of the heating zone 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 proceeds, the temperature will be affected by factors such as the flowability of the raw materials, changes in environmental temperature, etc. The temperature following curve dynamically adjusts the temperature setting of each heating zone according to these real-time changes to maintain the stability of the production process. For example, assuming that during the production process, the particle size of the raw materials is large, resulting in poor flowability, the temperature of heating zone 1 is automatically increased (such as from 208°C to 212°C) through the hot zone temperature following curve to ensure that the raw materials can be fully melted and smoothly pass through the mold.

[0042] After stable compensation is performed, the final calibration control parameters are recalculated and updated as the final operation settings of the extruder, ensuring that each link in the production process can operate stably and avoiding fluctuations affecting the quality of the product. Through similar matching and satisfaction optimization, the best process parameters suitable for the current production requirements are quickly found under the consideration of equipment limitations and raw material characteristics, reducing trial and error costs, improving production efficiency, and ensuring the consistency of product quality.

[0043] S300: Control the extruder to perform the molding control of the high-voltage polypropylene insulated cable using the calibration control parameters.

[0044] Specifically, according to the determined calibration control parameters, the extruder is controlled to adjust the operating parameters of the extruder. The extruder adjusts according to the input calibration control parameters, and 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 amount and screw speed. The extruder starts to perform the molding process of the high-voltage polypropylene insulated cable according to the set calibration control parameters. During the molding 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 insulation layer. At the same time, the running 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 molding control, the extrusion process becomes more accurate and repeatable, improving the production efficiency and product quality of the high-voltage polypropylene insulated cable.

[0045] S400: Temperature sensing network is arranged in the heating area and the mold area, temperature monitoring is performed by using the temperature sensing network, actual temperature feedback is established, and first temperature optimization feedback is generated based on the actual temperature feedback and the heat zone temperature following curve.

[0046] Further, the S400 of the present application comprises:

[0047] The heat transfer sequence of the heating area and the mold area is obtained, deviation analysis of the actual temperature feedback at the first heating position and the heat zone temperature following curve is performed according to the heat transfer sequence, the first control deviation is established, the first heating position is the starting heating position in the heat transfer sequence, the actual temperature feedback of the second heating position is obtained, deviation analysis is performed by using the heat zone temperature following curve, the second control deviation is established, heat transfer negative influence compensation of the second control deviation is performed based on the actual temperature feedback at the first heating position, and the second control deviation is updated; after the heat transfer negative influence compensation of the heating area and the mold area is performed according to the heat transfer sequence, the first temperature optimization feedback is generated based on all the control deviations.

[0048] Specifically, temperature sensors are arranged in the heating area and the mold area of the extruder to monitor the temperature changes in the areas in real time and accurately understand the temperature state of each heating area. The temperature sensing network of the heating area and the mold area is arranged by a group of temperature sensors in different areas of the extruder to monitor the temperature state of these areas in real time. The heating area is responsible for heating the raw materials to maintain a proper molten state; the mold area shapes the outer sheath of the cable by molding the heated raw materials.

[0049] The temperature monitoring is performed by using the temperature sensing network to obtain actual temperature feedback. The actual temperature feedback refers to real-time temperature data collected by the temperature sensor, reflecting the current temperature state of the heating zone and the mold zone. The heat transfer sequence of the heating zone and the mold zone is obtained, reflecting the heat transfer process. Generally, the temperature starts from the heating zone 1 (i.e., the initial heating position) and is transferred backward, and different temperature changes are experienced during the transfer between each heating zone and the mold zone. For example, if the temperature of the heating zone 1 is too low, the temperature of the subsequent heating zone will also be affected, resulting in insufficient temperature of the mold zone, which may eventually affect the product quality.

[0050] The actual temperature feedback corresponding to the first heating position is obtained from the heat transfer sequence, i.e., 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 in the entire extrusion process. The obtained actual temperature is compared 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 the heating zone. According to the actual temperature feedback and the temperature at the corresponding position of the heat zone temperature following curve, a first control deviation is obtained. For example, the actual temperature of the first heating position (e.g., 215°C) is compared with the target temperature set by the heat zone temperature following curve (e.g., 220°C), and a deviation of -5°C is obtained. 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 the heating zone is insufficient, and the heating power needs to be increased; otherwise, it indicates that the heating is excessive, and the power needs to be reduced.

[0051] Similarly, the actual temperature feedback of the second heating position is obtained, i.e., the actual temperature of the second heating position, and a deviation analysis is performed using the heat zone temperature following curve to obtain a second control deviation. The second heating position is usually the second heating zone in the heat transfer sequence and is located after the first heating position. As the heat transfer progresses, the temperature gradually changes, and the temperature feedback of the second heating position is affected by the first heating position, so separate control and adjustment are needed.

[0052] Since heat is transferred 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 of the second heating position. By compensating for the negative impact of heat transfer from the first heating position to the second heating position, an actual second control deviation of the second heating position is determined. That is, the second control deviation is calculated based on the actual temperature feedback of the second heating position and the temperature of the second heating position corresponding to the heat zone temperature following curve, and then the second control deviation is updated by calculating the negative impact of heat transfer to obtain an updated second control deviation.

[0053] Exemplarily, assuming that the target temperature of the first heating position set by the hot zone temperature following curve is 220℃, the target temperature of the second heating position is 230℃, and the actual temperature feedback obtained is that the actual temperature of the first heating position is 215℃ and the actual temperature of the second heating position is 225℃. The temperature deviation analysis of the first heating position obtains a first control deviation of -5℃, and the temperature deviation analysis of the second heating position obtains a second control deviation of -5℃. Based on the influence of the first heating position deviation on the second heating position deviation, the preset compensation coefficient is 0.8, the compensation value is calculated as -5x0.8=-4℃, and the second control deviation is updated to -1℃.

[0054] According to the heat transfer sequence, the above steps are repeated for the heating zone and the mold zone to perform heat transfer negative influence compensation, that is, to correct the temperature deviation caused by heat transfer from one position to another, so as to obtain a first temperature optimization feedback, that is, an actual control deviation of temperature. Based on the control deviations of all regions, an overall temperature optimization feedback is generated for adjusting 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 adjustment to reduce the temperature fluctuation in the entire production process.

[0055] By laying out a temperature sensing network and performing temperature monitoring, the actual temperature conditions of the heating zone and the mold zone of the extruder are accurately understood, the problems and deficiencies in temperature control are identified by analyzing the heat transfer sequence and the control deviation, and targeted optimization feedback is generated, which helps to improve the temperature control accuracy of the extrusion process, reduce the fluctuation of product quality, and improve the production efficiency.

[0056] S500: Perform extrusion pressure deviation analysis on the extruder, and if the extrusion pressure deviation value meets the deviation threshold, a second temperature optimization feedback is established according to the extrusion pressure deviation value, and the second temperature optimization feedback is a cooperative optimization feedback.

[0057] Further, the S500 of the present application comprises:

[0058] The temperature cooperative optimization channel is activated, and the extrusion pressure deviation value and the extrusion demand information are input into the temperature cooperative optimization channel as input information; the temperature cooperative optimization channel is used to achieve the target of the extrusion demand information, to perform temperature cooperative control optimization under the state of extrusion pressure deviation, and to reconstruct the target temperature; and the reconstructed target temperature is output as the second temperature optimization feedback.

[0059] Specifically, during the extrusion process, the extrusion pressure is monitored and recorded in real time, and compared with the 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 failure or process problems. The target pressure refers to the extrusion pressure parameter in the index setting control parameter, such as 22 MPa. According to the difference between the actual pressure monitored in real time and the target pressure, the pressure deviation value is calculated.

[0060] A tolerance range, i.e. deviation threshold, is set for the extrusion pressure deviation value. If the extrusion pressure deviation value meets the deviation threshold, i.e. within the permitted deviation range, the temperature is used for cooperative control optimization, the target temperature is reconstructed, and the 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 the pressure control optimization is executed, and the continuous extrusion optimization is carried out in combination with the temperature optimization feedback.

[0061] The activation temperature synergy optimization channel is used to adjust temperature parameters during the extrusion process to work in synergy with the extrusion pressure. Based on the extrusion pressure deviation and related production requirements, the temperature parameters are dynamically adjusted to optimize the quality of the final product. The training process of the temperature synergy optimization channel aims to learn and adjust the control strategy repeatedly, so that the temperature can be adjusted in real time under various extrusion pressure deviations, ensuring that the final product quality meets the expected requirements. Historical operation data of the extrusion machine, including temperature data, pressure data, production rate, product quality, etc., are collected and recorded from sensors and production records in the production process. At the same time, feedback data of the corresponding heating zone and mold zone, as well as production requirements (such as cable specifications, speed, etc.), are obtained. The objective function is defined, i.e. the goal of the model is to minimize the production quality difference caused by temperature and pressure deviation. Based on existing experience data or set control rules, the initial model is determined, and the model is trained through historical operation data, constantly adjusting the model parameters to adapt to different extrusion pressure changes and production requirements. Real-time adjustments are made based on 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 the control strategy is updated according to this target temperature. If the extrusion pressure deviation value exceeds the threshold, the model will adjust 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 flowability of polypropylene. The target temperature is constantly adjusted to adapt to dynamic changes in the production process, such as pressure fluctuations, temperature changes, production requirement changes, etc. Through multiple iterations, 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. A portion of historical data or simulation data is used for verification to check whether the trained model can effectively optimize the temperature in the production process and maintain product quality consistency. The performance of the model is evaluated based on the relationship between the optimized temperature control results and the actual product quality. Common evaluation indicators include temperature fluctuations in the production process, product consistency, scrap rate, etc.

[0062] The extrusion pressure deviation value and extrusion requirement information are input into the temperature synergy optimization channel, and the temperature control optimization algorithm based on the pressure deviation state is executed using the extrusion requirement information as the target to determine how to adjust the temperature settings to compensate for insufficient or excessive pressure, thereby maintaining product quality. Temperature synergy control optimization is an optimization algorithm based on existing extruder operating conditions, which automatically adjusts and optimizes temperature settings based on pressure deviation and extrusion requirement information to ensure optimal efficiency and product quality in the production process. The optimization goal is to minimize the negative impact of pressure deviation and ensure that the extruder can still operate smoothly according to the established production requirements under the new pressure state.

[0063] Through temperature-coordinated control optimization, a new target temperature is recalculated based on the current production status and extrusion pressure deviation. This new target temperature is more suitable for the current extrusion pressure conditions than the original temperature. The reconstructed target temperature is used as a second temperature optimization feedback output to adjust the temperature control of the extruder's heating and die zones. For example, if the extrusion pressure deviation is -3 MPa, and the extrusion requirements include a cable specification of 150 square millimeters and a production speed of 20 meters per minute, the original target temperature was 230°C. However, due to the low pressure, the adjusted target temperature should be increased by 5°C; therefore, the new target temperature is reconstructed to 235°C.

[0064] By optimizing temperature coordination, the adverse effects caused by deviations in extrusion pressure are compensated, ensuring that temperature and pressure are optimally matched during the production process. This avoids production stoppages or quality problems caused by pressure fluctuations, ensuring the stability of the production process and product quality.

[0065] Furthermore, this application also includes the following steps:

[0066] If the extrusion pressure deviation value cannot meet the deviation threshold, a pressure adjustment command is generated; a multi-level pressure following fitting scheme is generated based on the pressure adjustment command and the pressure deviation value; after optimizing the pressure control of the extruder using the multi-level pressure following fitting scheme, continuous extrusion optimization is performed based on the pressure control optimization result and the first temperature optimization feedback.

[0067] A target temperature is established using the pressure control optimization results; temperature control compensation is re-established based on the target temperature and the first temperature optimization feedback; and continuous extrusion optimization is performed using the temperature control compensation and the pressure control optimization results.

[0068] Specifically, if the extrusion pressure deviation does not meet the deviation threshold, i.e., exceeds the permissible deviation range, it is considered that the pressure has seriously deviated from the expected range, requiring adjustment measures. The system automatically generates pressure adjustment commands, including adjusting certain control parameters in the extruder (such as adjusting hydraulic, pneumatic, or other control parameters) to restore the pressure to the set target range. Adjustment commands are automatically generated based on the current deviation value, including adjusting the operating parameters of the hydraulic or pneumatic system, or adjusting other equipment settings that affect pressure. For example, a request might be made to adjust the extrusion pressure from 33 MPa to 30 MPa to ensure the pressure returns to the target range.

[0069] According to the pressure adjustment instruction and the pressure deviation value, a multi-level pressure follow-up fitting scheme is involved, and multiple adjustment stages are designed according to the actual deviation degree of the extrusion pressure, so as to gradually adjust the pressure back to the target range. For example, the first level first adjusts the pressure from 33 MPa to 31 MPa, quickly approaching the target value; the second level performs more fine adjustment, adjusting the pressure from 31 MPa to 30 MPa; and the third level, for slight fluctuations, continues fine adjustment, and finally stabilizes at the target pressure of 30 MPa. The multi-level pressure follow-up fitting scheme is a step-by-step adjustment strategy that optimizes the extrusion pressure level by level according to the current pressure deviation. Each level represents a different adjustment level, starting from a larger amplitude adjustment and gradually decreasing until the pressure returns to the target range.

[0070] The multi-level pressure follow-up fitting scheme is used to optimize the pressure control of the extruder, that is, continuous optimization is performed to ensure that the pressure is adjusted as needed and to reduce the quality fluctuations caused by pressure fluctuations. Finally, after multi-level adjustment, the pressure of the extruder is stabilized in the target range (such as 30 MPa). The control optimization result at this time ensures the stability of the production process.

[0071] According to the pressure control optimization result, a mapping target temperature is established, that is, the target temperature obtained by back calculation according to the pressure control optimization result. That is, according to the change of the extrusion pressure, the ideal temperature required at the corresponding pressure is determined to ensure that the temperature control is also in the optimal state while the pressure is optimized. According to the mapping temperature target and the first temperature optimization feedback, the temperature control compensation is re-established to adjust the temperature control parameters to compensate for the temperature deviation caused by the change of the pressure, so as 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, by analyzing the difference between the mapping target temperature and the first temperature optimization feedback, the temperature control compensation is recalculated. The temperature control compensation and the pressure control optimization result are combined to continuously adjust the temperature and the pressure, ensuring the stability of the extrusion process.

[0072] Exemplarily, the extrusion pressure is adjusted through the pressure control optimization result (target pressure 30 MPa); based on the mapping 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 the temperature are continuously monitored in real time, and if there is a new deviation, adjustment is performed again to ensure that the pressure and the temperature are always maintained within the target range. Through this process, the pressure and the temperature are continuously adjusted to ensure that every link in the extrusion process can reach the ideal state, ensuring that the extruded product maintains stability in quality, while improving production efficiency and reducing waste.

[0073] In summary, in actual production process, the pressure of the extruder will fluctuate, and the pressure of the extruder is monitored in real time, and the deviation value, i.e. the difference between the actual extrusion pressure and the target extrusion pressure, is calculated. If the extrusion pressure deviation value is within the deviation threshold range, it is considered that the deviation is allowed, and further optimization adjustment can be made. If the deviation value exceeds the allowed range, the system needs to be optimized through pressure adjustment instructions. In the case that the extrusion pressure deviation value meets the deviation threshold, the second temperature optimization feedback is carried out, 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 proper fluidity and processing performance under the condition of increased pressure. Conversely, when the extrusion pressure decreases, the temperature may need to be reduced to avoid the influence of overheated material on product quality. The second temperature optimization feedback is a collaborative optimization feedback, i.e. the temperature and pressure are optimized collaboratively to achieve the optimal state in the extrusion process. The temperature is adjusted according to the pressure deviation to ensure that the material can be smoothly formed at the ideal temperature and pressure in the extrusion process. As the production process continues, feedback adjustment is continuously carried out according to the actually measured temperature and pressure data to ensure that the temperature and pressure in the entire extrusion process always remain within the optimized range.

[0074] S600: continuously extruding and optimizing according to the first temperature optimization feedback and the second temperature optimization feedback.

[0075] Further, the present application S600 comprises:

[0076] According to the first temperature optimization feedback, a feedback control deviation is established; according to the second temperature optimization feedback, a target temperature is determined, and the actual temperature control compensation under the feedback control deviation is performed with the target temperature as the control target, and the continuous extrusion optimization is carried out by using the actual temperature control compensation result.

[0077] Specifically, according to the first temperature optimization feedback, a feedback control deviation, i.e. the temperature deviation degree in the current operation, is established. The feedback control deviation refers to the difference between the actual temperature and the target temperature. According to the feedback control deviation, the temperature is corrected to be as close as possible to the expected target, so as to ensure that the temperature in 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 as the optimized target temperature output.

[0078] The target temperature is taken as the control target, and temperature control compensation is performed 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 that the feedback control deviation is +2°C (the actual temperature is lower than the target temperature), the temperature is compensated by increasing the heating power (such as increasing the heater power or prolonging the heating time), so that the temperature is adjusted to the target value 235°C.

[0079] After the temperature is gradually adjusted to the target value through temperature control compensation, real-time optimization is continuously performed to ensure the stability of the entire base process. According to the constantly changing process conditions (such as material properties, external environmental changes, etc.), the temperature and pressure are adjusted in real time 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 the properties of the material, the ambient temperature, etc. Through continuous optimization, the temperature and pressure in each time period can be maintained in the best state, thereby improving the production quality and product quality.

[0080] Further, the present application further comprises the following steps:

[0081] The quality detection and verification of the extruder is performed on the formed cable, and a quality detection and verification result is generated. It is determined whether the quality detection and verification result meets the extrusion requirement information. According to the determination result, a detection feedback is established, and the control parameters of the extruder are optimized based on the detection feedback.

[0082] Specifically, the extruder is used to extrude the cable product. During the extrusion process, the raw material (such as polypropylene or other plastics) is extruded into a specific cable shape through heating and pressurization, and the final cable product is formed through cooling and other processes. After the extrusion process is completed, the cable product must be subjected to comprehensive quality detection, including but not limited to the outer diameter and thickness of the cable, whether the surface of the cable is smooth and flawless, the mechanical strength (such as tensile strength, bending performance, etc.) of the cable, and the insulation performance (such as insulation resistance, dielectric strength, etc.) of the cable. The quality detection and verification result refers to the result obtained after a series of quality detection (such as size, appearance, mechanical properties, etc.) on the formed cable, which is usually performed by sensors, instruments or detection equipment, and the result usually includes whether it meets the predetermined quality standard.

[0083] Quality detection is usually performed using measuring instruments (such as laser range finders, mechanical property testing equipment, etc.), or through high-resolution cameras and visual inspection systems for automated inspection. For example, assuming that the extruded cable has an outer diameter of 10 mm, and the set requirement is 9.8 mm ± 0.1 mm. Through the measuring tool, the actual measured outer diameter of the cable is 10.2 mm, so this cable does not meet the specifications.

[0084] A certain number of cable samples are selected from the production line to ensure the representativeness and accuracy of the test results. The selected samples usually follow certain statistical principles, such as random sampling or sampling according to production batches. Devices such as laser range finders, calipers, sensors, etc. are used to measure the outer diameter, wall thickness, and other dimensions of the cable. For example, if the outer diameter requirement is 9.8 mm ± 0.1 mm, the actual outer diameter of the sample is detected using the measurement tool. If the test value is between 9.7 mm and 9.9 mm, it meets the requirements, otherwise it needs to be adjusted. The tensile strength of the cable is tested using a tensile testing machine to ensure that it meets or exceeds the standard requirements, and the bending performance and compression resistance of the cable are tested using a bending test device. For example, the tensile strength of the cable is required to be no less than 20 MPa, and the test result is 18 MPa, which means that the cable fails to meet the requirements and the production process needs to be adjusted.

[0085] The insulation resistance of the cable is detected using an insulation resistance tester to ensure that its electrical insulation performance meets the standard. The dielectric strength tester is used for electrical testing to ensure the voltage resistance of the cable. Artificial inspection or automatic visual system (such as using high-resolution camera) is used to check whether there are bubbles, cracks, scratches and other defects on the surface of the cable, and gloss meter and other tools are used to measure the smoothness of the cable surface to ensure that the surface is smooth and flawless. Each test result is recorded and compared with the predetermined extrusion requirement information (such as size, tolerance, strength, etc.). According to the standardized detection specification, it is determined whether the cable meets the requirements. If it does not meet the requirements, the type and range of deviation are recorded.

[0086] All test data are processed and analyzed to generate a detailed test report. For example, if the outer diameter of the cable is 10.2 mm, the tensile strength is 18 MPa, and the tolerance range of the outer diameter is 9.8 mm ± 0.1 mm, the tensile strength requirement is 20 MPa, the test report will show that the outer diameter is too large and the tensile strength is insufficient. According to the test report, it is determined whether the cable meets the production standard. If all test items meet the requirements, the cable is determined to be qualified; if any test item does not meet the requirements, the cable will be determined to be unqualified and the production process needs to be adjusted.

[0087] For example, assume that the extrusion requirement information of the cable manufactured by the production line is as follows: the outer diameter requirement is 9.8 mm ± 0.1 mm, the tensile strength requirement is greater than or equal to 20 MPa, the insulation resistance requirement is greater than or equal to 10 12 Ω, and the surface smoothness requirement is flawless. Three cable samples are selected from the production line and part of the example data obtained by quality testing is shown in Table 1:

[0088] Table 1 Part of the example data table of quality testing

[0089]

[0090] According to the test results, sample 1: the outer diameter is slightly larger, the tensile strength is slightly lower than the standard, and the surface smoothness is qualified. It is determined to be unqualified; sample 2: all test items meet the requirements, and it is determined to be qualified; sample 3: the surface smoothness is unqualified, and it is determined to be unqualified. Through quality detection verification, it can be ensured that the produced cable meets the standard, thereby improving the consistency of the product and reducing the occurrence of defective products. Timely detection of quality problems can avoid unqualified cables entering the market or subsequent processing, reducing resource waste.

[0091] Determine whether the quality detection verification result meets the extrusion requirement information, that is, compare the quality detection verification result with the preset extrusion requirement information, and determine whether it meets the standard. If the test result meets the extrusion requirement information (such as outer diameter, strength, etc.), it means that the production process is qualified, otherwise it means that there is deviation. If the quality detection result does not meet the requirements, generate feedback information to point out the deviation (such as size deviation, insufficient strength, etc.), which is used to further optimize the operation parameters of the extruder. The detection feedback content includes size deviation (such as outer diameter deviation, which needs to adjust the size of the mold or adjust the extrusion speed), strength problem (such as insufficient mechanical strength of the cable, which needs to adjust the material ratio or temperature setting), appearance problem (such as bubbles or unevenness on the surface of the cable, which needs to adjust the temperature or cooling rate) and the like.

[0092] According to the detection feedback, adjust the control parameters of the extruder (such as temperature, pressure, extrusion speed, etc.) to optimize the product quality. For example, if the outer diameter of the cable is too large, it may be due to the excessive extrusion pressure, which causes the material to flow excessively, so 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 the excessive or insufficient temperature, which causes the physical properties of the material to change, so adjust the heating temperature to optimize the processing performance of the material. Through continuous quality detection and feedback optimization, it can be ensured that each batch of products can meet the set quality standard, and the consistency of the production process is improved. Timely detection of deviation and adjustment can avoid the production of a large number of unqualified products, reduce the scrap rate, save raw materials and costs.

[0093] In summary, the high-pressure polypropylene insulated cable continuous extrusion optimization method provided by the present application has the following beneficial effects:

[0094] By reading the equipment information, extrusion requirement information and raw material information of the extruder after accessing the extruder system, the control optimization of the extruder is performed according to the equipment information, extrusion requirement information and raw material information, the calibration control parameters are established, the calibration control parameters include the extrusion pressure parameters and temperature control parameters, and the hot zone temperature following curve is configured; the calibration control parameters are used to control the extruder to perform the forming control of the high-voltage polypropylene insulated cable; the temperature sensing network is arranged in the heating zone and the mold zone, the temperature monitoring is performed by using the temperature sensing network, the actual temperature feedback is established, the first temperature optimization feedback is generated according to the actual temperature feedback and the hot zone temperature following curve; the extrusion pressure deviation analysis is performed on the extruder, if the extrusion pressure deviation value meets the deviation threshold value, the second temperature optimization feedback is established according to the extrusion pressure deviation value, and the second temperature optimization feedback is the cooperative optimization feedback; and the continuous extrusion optimization is performed according to the first temperature optimization feedback and the second temperature optimization feedback. That is, the corresponding calibration control parameters are obtained according to the extruder information, the forming control of the high-voltage polypropylene insulated cable is performed, 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, the continuous extrusion optimization of the extruder is cooperatively performed, and the product quality and production efficiency of the high-voltage polypropylene insulated cable are improved.

[0095] In the embodiment two, based on the same inventive concept as the high-voltage polypropylene insulated cable continuous extrusion optimization method in the aforementioned embodiment one, the application further provides a high-voltage polypropylene insulated cable continuous extrusion optimization device, please refer to the attached Figure 2 , the high-voltage polypropylene insulated cable continuous extrusion optimization device comprises:

[0096] The extruder information reading module 11 is used to read the equipment information, extrusion requirement information and raw material information of the extruder after accessing the extruder system; the control parameter optimization module 12 is used to perform the control optimization of the extruder according to the equipment information, extrusion requirement information and raw material information, establish the calibration control parameters, the calibration control parameters include the extrusion pressure parameters and temperature control parameters, and configure the hot zone temperature following curve; the forming control module 13 is used to control the extruder to perform the forming control of the high-voltage polypropylene insulated cable by using the calibration control parameters; the first optimization feedback module 14 is used to arrange the temperature sensing network in the heating zone and the mold zone, perform the temperature monitoring by using the temperature sensing network, establish the actual temperature feedback, and generate the first temperature optimization feedback according to the actual temperature feedback and the hot zone temperature following curve; the second optimization feedback module 15 is used to perform the extrusion pressure deviation analysis on the extruder, if the extrusion pressure deviation value meets the deviation threshold value, establish the second temperature optimization feedback according to the extrusion pressure deviation value, and the second temperature optimization feedback is the cooperative optimization feedback; and the continuous extrusion optimization module 16 is used to perform the continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback.

[0097] Further, the control parameter optimization module 12 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0098] Taking the equipment information, the extrusion requirement information, and the raw material information as matching information, performing similar matching of the control database, and establishing a similar matching result; after creating an initial solution based on the similar matching result, taking the equipment information and the raw material information as constraint data, performing satisfaction optimization under the extrusion requirement information; and establishing a calibration control parameter based on a satisfaction optimization result.

[0099] Further, the control parameter optimization module 12 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0100] Obtaining historical working data of the extruder, performing working stability analysis of the extruder based on the historical working data, and establishing a stability compensation; after adjusting the satisfaction optimization result by using the stability compensation, establishing the calibration control parameter.

[0101] Further, the first optimization feedback module 14 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0102] Obtaining a heat transfer sequence of the heating area and the mold area; performing actual temperature feedback under a first heating position and deviation analysis of a heat zone temperature following curve based on the heat transfer sequence, establishing a first control deviation, the first heating position being a starting heating position in the heat transfer sequence; obtaining actual temperature feedback of a second heating position, and performing deviation analysis by using a heat zone temperature following curve, establishing a second control deviation, compensating a heat transfer negative influence of the second control deviation based on the actual temperature feedback under the first heating position, and updating the second control deviation; after performing heat transfer negative influence compensation of the heating area and the mold area according to the heat transfer sequence, generating a first temperature optimization feedback based on all control deviations.

[0103] Further, the second optimization feedback module 15 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0104] Activating a temperature collaborative optimization channel, taking the extrusion pressure deviation value and the extrusion requirement information as input information, and inputting the input information into the temperature collaborative optimization channel; using the temperature collaborative optimization channel to perform temperature collaborative control optimization under an extrusion pressure deviation state to achieve the extrusion requirement information, and reconstructing a target temperature; and outputting the reconstructed target temperature as a second temperature optimization feedback.

[0105] Further, the second optimization feedback module 15 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0106] If the extrusion pressure deviation value fails to meet the deviation threshold, a pressure adjustment instruction is generated; a multi-level pressure pursuit fitting scheme is generated according to the pressure adjustment instruction and the pressure deviation value; after pressure control optimization of the extruder is performed by using the multi-level pressure pursuit fitting scheme, continuous extrusion optimization is performed according to a pressure control optimization result and the first temperature optimization feedback.

[0107] Further, the second optimization feedback module 15 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0108] A mapping target temperature is established by using the pressure control optimization result; a temperature control compensation is re-established according to the mapping target temperature and the first temperature optimization feedback; and continuous extrusion optimization is performed by using the temperature control compensation and the pressure control optimization result.

[0109] Further, the continuous extrusion optimization module 16 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0110] A feedback control deviation is established according to the first temperature optimization feedback; a target temperature is determined according to the second temperature optimization feedback; actual temperature control compensation under the feedback control deviation is performed by taking the target temperature as a control target; and continuous extrusion optimization is performed by using an actual temperature control compensation result.

[0111] Further, the continuous extrusion optimization module 16 in the high-voltage polypropylene insulated cable continuous extrusion optimization device is further used for:

[0112] Quality detection verification of the extruder for the molded cable is performed to generate a quality detection verification result; it is determined whether the quality detection verification result meets the extrusion requirement information; and a detection feedback is established according to a determination result to optimize a control parameter of the extruder.

[0113] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The foregoing Figure 1 The high-voltage polypropylene insulated cable continuous extrusion optimization method and specific examples in Embodiment One are also applicable to the high-voltage polypropylene insulated cable continuous extrusion optimization device of the present embodiment. Through the foregoing detailed description of the high-voltage polypropylene insulated cable continuous extrusion optimization method, those skilled in the art can clearly understand the high-voltage polypropylene insulated cable continuous extrusion optimization device in the present embodiment. Therefore, for the sake of brevity of the specification, the high-voltage polypropylene insulated cable continuous extrusion optimization device in the present embodiment will not be described in detail.

[0114] The above description of disclosed embodiments enables one of ordinary skill in the art to make or use the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein can be applied to other embodiments without departing from the spirit or scope of the application. Therefore, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0115] Obviously, many modifications and changes can be made to the application as set forth above without departing from the spirit and scope of the application. It is to be understood that the above description is intended to be illustrative, and not restrictive. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description. The scope of the application should, therefore, be determined not with reference to the above description, but instead with reference to the appended claims, along with their full scope of equivalents.

Claims

1. A method for the optimization of the continuous extrusion of high-voltage polypropylene insulated cables, characterized in that, The method comprises the following steps: After accessing the extruder system, read the device information, extrusion requirement information and raw material information of the extruder; According to the device information, extrusion requirement information and raw material information, control optimization of the extruder is performed, calibration control parameters are established, the calibration control parameters include extrusion pressure parameters and temperature control parameters, and a hot zone temperature following curve is configured; The calibration control parameters are used to control the extruder to perform forming control of the high-voltage polypropylene insulated cable; A temperature sensing network is arranged in the heating zone and the mold zone, temperature monitoring is performed by using the temperature sensing network, actual temperature feedback is established, and a first temperature optimization feedback is generated based on the actual temperature feedback and the hot zone temperature following curve; Extrusion pressure deviation analysis is performed on the extruder, if the extrusion pressure deviation value meets the deviation threshold, a second temperature optimization feedback is established based on the extrusion pressure deviation value, and the second temperature optimization feedback is a cooperative optimization feedback; Continuous extrusion optimization is performed according to the first temperature optimization feedback and the second temperature optimization feedback.

2. The high voltage polypropylene insulated cable continuous extrusion optimization method of claim 1, wherein, The first temperature optimization feedback is generated based on the actual temperature feedback and the hot zone temperature following curve, which comprises the following steps: Obtain the heat transfer sequence of the heating zone and the mold zone; According to the heat transfer sequence, deviation analysis of the actual temperature feedback and the hot zone temperature following curve at the first heating position is performed, a first control deviation is established, and the first heating position is the starting heating position in the heat transfer sequence; Obtain the actual temperature feedback of the second heating position, perform deviation analysis by using the hot zone temperature following curve, establish a second control deviation, compensate the negative influence of heat transfer based on the actual temperature feedback at the first heating position, update the second control deviation, and generate the first temperature optimization feedback according to all control deviations after the negative influence of heat transfer of the heating zone and the mold zone is compensated according to the heat transfer sequence. If the extrusion pressure deviation value meets the deviation threshold, a second temperature optimization feedback is established based on the extrusion pressure deviation value, which comprises the following steps:

3. The high voltage polypropylene insulated cable continuous extrusion optimization method of claim 1, wherein, Activate a temperature cooperative optimization channel, input the extrusion pressure deviation value and the extrusion requirement information into the temperature cooperative optimization channel as input information; Use the temperature cooperative optimization channel to perform temperature cooperative control optimization in the extrusion pressure deviation state 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. The continuous extrusion optimization is performed according to the first temperature optimization feedback and the second temperature optimization feedback, which comprises the following steps:

4. A high voltage polypropylene insulated cable continuous extrusion optimization method as claimed in claim 3, characterized in that, 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 use the actual temperature control compensation result to perform continuous extrusion optimization. The extrusion pressure deviation analysis on the extruder further comprises the following steps:

5. The high voltage polypropylene insulated cable continuous extrusion optimization method of claim 1 wherein, If the extrusion pressure deviation value cannot meet the deviation threshold, generate a pressure adjustment instruction; Generate a multi-level pressure following fitting scheme according to the pressure adjustment instruction and the pressure deviation value; ​ After the pressure control optimization of the extruder is performed by using the multi-level pressure pursuit fitting scheme, continuous extrusion optimization is performed according to the pressure control optimization result and the first temperature optimization feedback.

6. A high voltage polypropylene insulated cable continuous extrusion optimization method as claimed in claim 5, characterized in that, The continuous extrusion optimization according to the pressure control optimization result and the first temperature optimization feedback comprises: a mapping target temperature is established by using the pressure control optimization result; a temperature control compensation is re-established according to the mapping target temperature and the first temperature optimization feedback, and continuous extrusion optimization is performed by using the temperature control compensation and the pressure control optimization result.

7. The high voltage polypropylene insulated cable continuous extrusion optimization method of claim 1 wherein, The control optimization of the extruder according to the device information, the extrusion requirement information and the raw material information comprises: the device information, the extrusion requirement information and the raw material information are taken as matching information, and similar matching of a control database is performed to establish a similar matching result; after an initial solution is created by using the similar matching result, the device information and the raw material information are taken as constraint data, and satisfaction optimization under the extrusion requirement information is performed; a calibration control parameter is established according to the satisfaction optimization result.

8. A high voltage polypropylene insulated cable continuous extrusion optimization method as claimed in claim 7, characterized in that, The establishment of the calibration control parameter according to the satisfaction optimization result comprises: historical working data of the extruder are acquired, working stability analysis of the extruder is performed according to the historical working data, and a stability compensation is established; the calibration control parameter is established after the satisfaction optimization result is adjusted by using the stability compensation.

9. The high voltage polypropylene insulated cable continuous extrusion optimization method of claim 1 wherein, The continuous extrusion optimization according to the first temperature optimization feedback and the second temperature optimization feedback comprises: quality detection verification of the formed cable is performed on the extruder to generate a quality detection verification result; whether the quality detection verification result meets the extrusion requirement information is judged; a detection feedback is established according to the judgment result, and the control parameter of the extruder is optimized by using the detection feedback.

10. A continuous extrusion optimization device for high voltage polypropylene insulated cables, characterized in that, The high-pressure polypropylene insulated cable continuous extrusion optimization device for implementing the steps of the high-pressure polypropylene insulated cable continuous extrusion optimization method in any one of claims 1 to 9 comprises: an extruder information reading module, which is configured to read device information, extrusion requirement information and raw material information of an extruder after the extruder system is accessed; a control parameter optimization module, which is configured to perform control optimization of the extruder according to the device information, the extrusion requirement information and the raw material information, and establish a calibration control parameter, wherein the calibration control parameter comprises an extrusion pressure parameter and a temperature control parameter, and a hot zone temperature pursuit curve is configured; a forming control module, which is configured to control the extruder to perform forming control of a high-pressure polypropylene insulated cable by using the calibration control parameter; a first optimization feedback module, which is configured to arrange a temperature sensing network in a heating zone and a die zone, perform temperature monitoring by using the temperature sensing network, and establish an actual temperature feedback, wherein a first temperature optimization feedback is generated by using the actual temperature feedback and the hot zone temperature pursuit curve; a second optimization feedback module, which is configured to perform extrusion pressure deviation analysis on the extruder, and establish a second temperature optimization feedback according to an extrusion pressure deviation value if the extrusion pressure deviation value meets a deviation threshold value, wherein the second temperature optimization feedback is a cooperative optimization feedback. a continuous extrusion optimization module for performing continuous extrusion optimization based on the first temperature optimization feedback, the second temperature optimization feedback.

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