Extrusion control method, system and equipment for power line production and storage medium

Abstract

The invention relates to an extrusion control method, system and device for power line production and a storage medium, and relates to the field of wire intelligent manufacturing, and the method comprises the steps: carrying out extrusion thickness distribution simulation according to a first extrusion control parameter to obtain a first insulation layer thickness distribution sequence; performing uniformity and size accuracy analysis to obtain a first uniformity parameter, a first uniformity change parameter, a first size accuracy parameter and a first size change parameter; and calculating to obtain a first extrusion fitness, setting an extrusion adjustment step length according to the first uniformity change parameter and the first size change parameter, adjusting the first extrusion control parameter, and continuing iterative optimization to obtain an optimal extrusion control parameter. By means of the method, the technical problem that in an existing method, due to improper setting of extrusion control parameters, the defects of uneven thickness distribution, size deviation and the like of an insulating layer are likely to occur, and the quality of a power line product is poor can be solved, and the overall production quality of the power line product can be improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent manufacturing of electric wires, and in particular to an extrusion control method, system, equipment and storage medium for power cord production. Background Art

[0002] In the existing power cord production process, insulation layer extrusion control is one of the key links affecting product quality. The core control parameters of the extrusion process include temperature, pressure and extrusion speed, which directly affect the fluidity and molding effect of the insulation layer material.

[0003] At present, traditional power cord production methods often rely on manual experience or preset parameters for control, which is prone to insulation layer quality defects due to improper parameter settings. For example, unreasonable extrusion control parameter settings may lead to uneven thickness distribution of the insulation layer, resulting in local over-thickness or over-thinness, affecting insulation performance and product consistency; at the same time, inaccurate dimensional control will also bring large deviations, fail to meet design standards, and even affect the mechanical properties and electrical safety of the power cord, ultimately resulting in a decline in the overall quality of the product and an increase in rework and scrap rates.

[0004] In summary, the existing power cord production method has technical problems such as improper setting of insulation layer extrusion control parameters, which leads to defects such as uneven thickness distribution and dimensional deviation in the insulation layer, resulting in poor quality of power cord products. Summary of the invention

[0005] The present invention aims to solve the technical problem that in the existing power cord production method, due to improper setting of the insulation layer extrusion control parameters, the insulation layer is prone to defects such as uneven thickness distribution and dimensional deviation, resulting in poor quality of the power cord product. An extrusion control method, system, equipment and storage medium for power cord production are provided to solve the problem.

[0006] The technical solution of the present invention to solve the above technical problems is as follows:

[0007] In a first aspect, the present invention provides an extrusion control method for power cord production, comprising: obtaining an extrusion control parameter space for extrusion of an insulation layer of a power cord, and randomly selecting a first extrusion control parameter in the extrusion control parameter space; simulating the extrusion thickness distribution of the insulation layer of the power cord according to the first extrusion control parameter, and obtaining a first insulation layer thickness distribution sequence; performing insulation layer uniformity analysis and insulation layer dimensional accuracy analysis according to the first insulation layer thickness distribution sequence, and obtaining a first uniformity parameter, a first uniformity change parameter, a first dimensional accuracy parameter, and a first dimensional change parameter; calculating and obtaining a first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, setting an extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, adjusting the first extrusion control parameter, and continuing to iteratively optimize the extrusion control parameter to obtain the optimal extrusion control parameter, and performing extrusion control for power cord production.

[0008] In a second aspect, the present invention provides an extrusion control system for power cord production, including: an extrusion control parameter space acquisition module, used to acquire the extrusion control parameter space for extrusion of the power cord insulation layer, and randomly select a first extrusion control parameter in the extrusion control parameter space; an extrusion thickness distribution simulation module, used to simulate the extrusion thickness distribution of the power cord insulation layer according to the first extrusion control parameter, and obtain a first insulation layer thickness distribution sequence; an insulation layer quality analysis module, used to perform insulation layer uniformity analysis and insulation layer dimensional accuracy analysis according to the first insulation layer thickness distribution sequence, and obtain a first uniformity parameter, a first uniformity change parameter, a first dimensional accuracy parameter and a first dimensional change parameter; an extrusion control parameter optimization module, used to calculate and obtain a first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, set an extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, adjust the first extrusion control parameter, and continue to iteratively optimize the extrusion control parameter to obtain the optimal extrusion control parameter, and perform extrusion control for power cord production.

[0009] In a third aspect, the present invention further provides an electronic device, comprising:

[0010] At least one processor; a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor so that the at least one processor can perform the steps of the method in the first aspect above.

[0011] In a fourth aspect, a computer-readable storage medium is provided, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed, the steps of the method in the first aspect are implemented.

[0012] The beneficial effects of the present invention are as follows: by randomly selecting the first extrusion control parameter in the extrusion control parameter space, and based on machine learning, simulating the extrusion thickness distribution of the power cord insulation layer according to the first extrusion control parameter, obtaining the first insulation layer thickness distribution sequence; then performing insulation layer uniformity analysis and insulation layer dimensional accuracy analysis according to the first insulation layer thickness distribution sequence, obtaining the first uniformity parameter, the first uniformity change parameter, the first dimensional accuracy parameter and the first dimensional change parameter; then calculating and obtaining the first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, setting the extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, optimizing and adjusting the first extrusion control parameter, further using the same method, continuing to iteratively optimize the extrusion control parameter, obtaining the optimal extrusion control parameter with the maximum extrusion fitness; finally, performing power cord production extrusion control according to the optimal extrusion control parameter. In other words, by optimizing the extrusion control parameters, the scientificity, accuracy and reliability of the extrusion control parameter setting can be improved, and defects such as uneven thickness distribution and dimensional deviation in the insulation layer can be reduced or avoided, thereby significantly reducing the unqualified rate and improving the overall quality of power cord products. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A schematic flow chart of the extrusion control method for power cord production provided by the present invention;

[0014] Figure 2 A schematic diagram of the structure of an extrusion control system for producing power cords provided by the present invention;

[0015] Figure 3 A schematic diagram of the structure of an electronic device provided by the present invention;

[0016] Figure 4 A schematic diagram of the structure of a computer-readable storage medium provided by the present invention.

[0017] In the accompanying drawings, the components represented by the reference numerals are described as follows:

[0018] Extrusion control parameter space acquisition module 01, extrusion thickness distribution simulation module 02, insulation layer quality analysis module 03, extrusion control parameter optimization module 04, electronic device 500, memory 510, processor 520, first computer program 511, computer readable storage medium 600, second computer program 611. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0021] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0022] Embodiment 1, as Figure 1 As shown, an embodiment of the present invention provides an extrusion control method for power cord production, which specifically includes the following steps:

[0023] S100: Acquire an extrusion control parameter space for extrusion of an insulation layer of a power line, and randomly select a first extrusion control parameter in the extrusion control parameter space.

[0024] In one embodiment, step S100 of the present application further includes:

[0025] S110: Acquire the temperature parameter space, pressure parameter space and extrusion speed parameter space of the power line insulation layer extrusion; S120: Combine the temperature parameter space, pressure parameter space and extrusion speed parameter space to obtain the extrusion control parameter space.

[0026] Specifically, in the extrusion control process of the power cord insulation layer, it is first necessary to determine the extrusion control parameters, which include temperature parameters, pressure parameters and extrusion speed. The temperature parameters directly affect the melting point of the insulation material. If the temperature is too low, the material may not be completely melted, resulting in uneven extrusion, rough surface or substandard thickness; if the temperature is too high, the material may degrade, affecting the mechanical and electrical properties of the insulation layer. The pressure parameters affect the density of the material and the thickness distribution of the extruded layer. When the pressure is insufficient, the material may not fill the mold, resulting in a thinner insulation layer; excessive pressure may cause excessive thickness or uneven layers, increase material consumption and affect product consistency. The extrusion speed affects the dimensional accuracy and uniformity of the insulation layer. Too high a speed may cause the material to not be fully formed or unevenly cooled, resulting in dimensional deviations and surface defects.

[0027] Next, determine the range of each extrusion control parameter, including temperature parameter space, pressure parameter space and extrusion speed parameter space, where the temperature parameter space refers to the temperature range required for the insulating layer material during the extrusion process to ensure that the material's meltability and fluidity reach the optimal state; the pressure parameter space refers to the pressure range of the extrusion process to ensure that the material is uniformly formed during the extrusion process; the extrusion speed parameter space refers to the extrusion speed range, which is used to ensure that the material's forming speed matches the cooling process to control thickness and uniformity; for example, the temperature parameter space is 150 to 210 degrees Celsius, the pressure parameter space is 20 to 50 MPa, and the extrusion speed parameter space is 0.5 to 3 meters per minute.

[0028] Then, the temperature parameter space, pressure parameter space and extrusion speed parameter space are combined to construct a multidimensional extrusion control parameter space, which contains all possible temperature, pressure and speed combinations, providing a comprehensive range of choices for parameter optimization. Next, any combination is randomly selected in the extrusion control parameter space as the first extrusion control parameter, such as the first extrusion control parameter is a temperature of 180 degrees Celsius, a pressure of 30 MPa and an extrusion speed of 2 meters per minute.

[0029] S200: performing an extrusion thickness distribution simulation of an insulation layer of a power line according to the first extrusion control parameter to obtain a first insulation layer thickness distribution sequence.

[0030] In one embodiment, step S200 of the present application further includes:

[0031] S210: Use historical data of power cord insulation extrusion to train an extrusion thickness distribution simulator.

[0032] In one embodiment, step S210 of the present application further includes:

[0033] S211: Based on the historical extrusion data of the power cord insulation layer extrusion equipment, a set of sample extrusion control parameters is collected, and the insulation layer thickness distribution at multiple extrusion times when the power cord insulation layer is extruded using different sample extrusion control parameters, to obtain multiple sample insulation layer thickness distribution sets, wherein the insulation layer thickness distribution includes the insulation layer thickness in multiple directions of the power cord insulation layer; S212: Using the sample extrusion control parameter set as input data, and using the multiple sample insulation layer thickness distribution sets as output data respectively, to train multiple extrusion thickness distribution simulation branches until the training converges; S213: Combining the multiple extrusion thickness distribution simulation branches that have converged to obtain a thickness distribution simulator.

[0034] Specifically, historical extrusion data of the power cord insulation layer extrusion equipment is obtained, wherein the historical extrusion data generally includes key parameters in the extrusion process, such as temperature, pressure, speed, and corresponding product quality indicators, such as insulation layer thickness, uniformity, and dimensional accuracy. Then, sample extrusion control parameters are collected based on the historical extrusion data, and these parameters include temperature, pressure, and extrusion speed. Each group of parameter combinations represents a specific extrusion condition, and a sample extrusion control parameter set is obtained.

[0035] Further, the insulation layer thickness distribution under multiple extrusion times when the power cord insulation layer is extruded using different sample extrusion control parameters is collected, wherein the extrusion time refers to multiple time points in the extrusion process, such as the 2nd minute, the 4th minute, the 6th minute, etc., and the time interval can be set according to the scene requirements; the insulation layer thickness distribution includes the insulation layer thickness in multiple directions of the power cord insulation layer, wherein the directions include the four directions of the upper, lower, left and right directions of the power cord cross section, including the thickness of the insulation layer in these directions; wherein as the extrusion time increases, the melting point of the insulation layer material will change, and the influence of gravity will easily lead to uneven thickness distribution, for example, the thickness in the downward direction is thicker, while the thickness in the upward direction may be relatively thin, and this phenomenon is particularly obvious in a longer extrusion process, because the material may be offset by gravity in the mold, resulting in uneven fluidity and cooling process, thereby affecting the final thickness uniformity and product quality; multiple sample insulation layer thickness distribution sets are obtained, wherein the sample extrusion control parameters and the sample insulation layer thickness distribution sets correspond one to one.

[0036] Based on the BP neural network, multiple extrusion thickness distribution simulation branches are constructed, wherein each extrusion thickness distribution simulation branch corresponds to an extrusion time point (such as the 2nd minute, the 4th minute, and the 6th minute). For example, the extrusion thickness distribution simulation branch corresponding to the 2nd minute is used as the first branch, and the extrusion thickness distribution simulation branch corresponding to the 4th minute is used as the second branch. The extrusion thickness distribution simulation branch includes an input layer, multiple hidden layers and an output layer. The input data of the input layer is the extrusion control parameter, and the output data of the output layer is the thickness of the sample insulation layer at a single extrusion time point. Then, the sample extrusion control parameter set is used as input data, and the multiple sample insulation layer thickness distribution sets are used as output data respectively, and supervised training is performed on multiple extrusion thickness distribution simulation branches. First, the input data (extrusion control parameters) is passed to the hidden layer and the output layer through the input layer, and the output of each layer node is nonlinearly transformed by the activation function to generate the thickness prediction value of the current branch network at this time point; then, the error is calculated by the difference between the predicted value and the actual sample insulation layer thickness (target output), and the commonly used error function is the mean square error (MSE); then, the error is back-propagated from the output layer to each hidden layer through the BP algorithm, and the weight and bias value of each neuron are updated; the above training steps are repeated, and the network parameters are updated through multiple iterations to gradually reduce the prediction error until the model converges to a satisfactory error range or reaches the specified number of training rounds, and multiple extrusion thickness distribution simulation branches that have been trained are obtained.

[0037] Finally, the multiple trained extrusion thickness distribution simulation branches are combined, that is, the extrusion thickness distribution simulation branches at each time point are combined to form an overall thickness distribution simulator. By building a thickness distribution simulator based on the BP neural network, support can be provided for the simulation prediction of thickness distribution in the extrusion process, and the accuracy and efficiency of thickness distribution simulation prediction can be improved.

[0038] S220: Inputting the first extrusion control parameter into the extrusion thickness distribution simulator, outputting a plurality of first insulation layer thickness distributions at a plurality of extrusion times when the insulation layer is extruded according to the first extrusion control parameter, and obtaining a first insulation layer thickness distribution sequence.

[0039] Specifically, the first extrusion control parameter is input into the extrusion thickness distribution simulator for prediction. The simulator will calculate based on the first extrusion control parameter through multiple branches inside it (each branch corresponds to a different time point), and output the thickness distribution prediction under multiple extrusion times, wherein each time point corresponds to a thickness distribution prediction result, for example, the 2nd minute, the 4th minute, the 6th minute, etc. The prediction result at each time point shows the thickness distribution of the insulating layer in different directions; then the thickness distribution results at each time point are sorted in chronological order to generate the first insulating layer thickness distribution sequence. By obtaining the first insulating layer thickness distribution sequence, the effect of the first extrusion control parameter in the entire extrusion process can be analyzed, the uniformity and stability of the thickness can be evaluated, and data support can be provided for further optimization of the extrusion process.

[0040] S300: performing an insulation layer uniformity analysis and an insulation layer dimensional accuracy analysis according to the first insulation layer thickness distribution sequence to obtain a first uniformity parameter, a first uniformity variation parameter, a first dimensional accuracy parameter, and a first dimensional variation parameter.

[0041] In one embodiment, step S300 of the present application further includes:

[0042] S310: Calculate the insulation layer thickness variance of multiple first insulation layer thickness distributions in the first insulation layer thickness distribution sequence, obtain multiple first insulation layer thickness distribution variances, calculate the mean, and obtain a first uniformity parameter; S320: Obtain the standard insulation layer thickness of the power line insulation layer; S330: Calculate the average thickness deviations of the multiple first insulation layer thickness distributions and the standard insulation layer thickness respectively, obtain multiple first insulation layer size deviations, calculate the mean, and use 1 to subtract the mean of the multiple first insulation layer size deviations to obtain a first size accuracy parameter.

[0043] Specifically, first, for the thickness distribution at each time point in the first insulating layer thickness distribution sequence, the variance of the insulating layer thickness in multiple directions within each first insulating layer thickness distribution is calculated, and the thickness variance reflects the thickness deviation in different directions at that time point, and multiple first insulating layer thickness distribution variances are obtained. The mean of the multiple first insulating layer thickness distribution variances is calculated to obtain a first uniformity parameter, wherein the first uniformity parameter represents the thickness uniformity during the entire extrusion process. The smaller the variance mean, the smaller the first uniformity parameter, indicating that the thickness distribution is more uniform.

[0044] Next, obtain the standard insulation layer thickness of the power cord insulation layer, which can be obtained through production indicators; then calculate the average thickness deviations of the multiple first insulation layer thickness distributions and the standard insulation layer thickness, that is, for each extrusion time point insulation layer thickness distribution (i.e., thickness value set in each direction), calculate the ratio of the difference between the insulation layer thickness and the standard insulation layer thickness in each direction to the standard insulation layer thickness, and then calculate the mean of the thickness difference ratios in multiple directions, that is, calculate the average thickness deviation percentage of the thickness value set in the insulation layer thickness distribution at each extrusion time point and the standard insulation layer thickness, and obtain multiple first insulation layer size deviations. Further calculate the mean of the multiple first insulation layer size deviations, and use 1 minus the mean of the multiple first insulation layer size deviations, and use the difference calculation result as the first size accuracy parameter, wherein the larger the first size accuracy parameter, the closer the insulation layer thickness is to the standard insulation layer thickness, the higher the size accuracy, which is helpful to evaluate the accuracy of the extrusion control parameters and the extrusion quality.

[0045] S340: Analyze and calculate to obtain a first uniformity variation parameter based on the thickness distribution variances of the plurality of first insulating layers, and analyze and calculate to obtain a first size variation parameter based on the size deviations of the plurality of first insulating layers.

[0046] In one embodiment, step S340 of the present application further includes:

[0047] S341: Randomly extract a preset number of first insulation layer thickness distribution variances from the multiple first insulation layer thickness distribution variances, calculate the mean deviation amplitude from the first uniformity parameter, and obtain a first uniformity change parameter; S342: Randomly extract a preset number of first insulation layer size deviations from the multiple first insulation layer size deviations, subtract the preset number of first insulation layer size deviations from 1, and obtain a preset number of first insulation layer size accuracy parameters; S343: Calculate the mean deviation amplitude between a preset number of first insulation layer size accuracy parameters and the first size accuracy parameter, and obtain a first size change parameter.

[0048] Specifically, first, randomly extract a preset number of first insulation layer thickness distribution variances from the plurality of first insulation layer thickness distribution variances, wherein the preset number of extractions can be set according to the number of first insulation layer thickness distribution variances, such as setting the number of collections to 30%, that is, assuming that the first insulation layer thickness distribution variance is 10, then the preset number of extractions is 3, that is, randomly extracting 3; then for each extracted variance sample, calculate its deviation amplitude from the first uniformity parameter, that is, calculate the absolute value of the difference between the randomly extracted first insulation layer thickness distribution variance and the first uniformity parameter and the ratio of the first uniformity parameter as the deviation amplitude, and thus calculate the preset number of deviation amplitudes. And perform mean calculation on multiple deviation amplitudes to obtain the first uniformity change parameter, wherein the larger the first uniformity change parameter, the greater the fluctuation of the thickness distribution and the more unstable the uniformity; the smaller the first uniformity change parameter, the more stable the uniformity.

[0049] On the other hand, a preset number of first insulation layer size deviations are randomly selected from the plurality of first insulation layer size deviations, and the preset number of first insulation layer size deviations can be set according to actual conditions, such as 30% of the number of first insulation layer size deviations; then, the preset number of first insulation layer size deviations are subtracted from 1 to obtain the preset number of first insulation layer size accuracy parameters; then, the preset number of first insulation layer size accuracy parameters are compared with the overall first size accuracy parameters, and the deviation amplitude between each sample and the first size accuracy parameter is calculated, that is, the absolute value of the difference between each sampled first insulation layer size accuracy parameter and the first size accuracy parameter and the ratio of the first size accuracy parameter are calculated as the deviation amplitude. Then, the average of all deviation amplitudes is taken to obtain the first size change parameter, wherein the first size change parameter reflects the degree of fluctuation of size accuracy, and the larger the value, the more obvious the fluctuation of size deviation and the worse the stability of size control; the smaller the value, the more stable the size deviation and the better the size control effect.

[0050] S400: Calculate and obtain the first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, set the extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, adjust the first extrusion control parameter, and continue to iteratively optimize the extrusion control parameter to obtain the optimal extrusion control parameter and perform extrusion control for power cord production.

[0051] In one embodiment, step S400 of the present application further includes:

[0052] S410: Perform weighted calculation on the inverse of the first uniformity parameter and the first dimensional accuracy parameter to obtain a first extrusion fitness; S420: Calculate the mean of the first uniformity change parameter and the first dimensional change parameter to obtain an extrusion change parameter, and multiply it by a preset adjustment step to obtain an extrusion adjustment step; S430: Use the extrusion adjustment step to adjust the first extrusion control parameter to obtain a second extrusion control parameter; S440: Continue to iteratively optimize the extrusion control parameters until the optimization converges to obtain the optimal extrusion control parameters.

[0053] Specifically, first, the uniformity weight and dimensional accuracy weight are configured according to the insulation layer extrusion requirements, where the sum of the uniformity weight and dimensional accuracy weight is 1. For example, to evaluate the product's requirements for thickness uniformity and dimensional accuracy, for products with high insulation layer thickness uniformity requirements, the uniformity weight can be set larger; if dimensional accuracy is critical, the dimensional accuracy weight should be higher; if thickness uniformity and dimensional accuracy are equally important, the uniformity weight and dimensional accuracy weight can be set to 0.5. Then, according to the uniformity weight and dimensional accuracy weight, the inverse of the first uniformity parameter and the first dimensional accuracy parameter are weighted and calculated, and the weighted calculation result is used as the first extrusion fitness.

[0054] Then calculate the mean of the first uniformity change parameter and the first size change parameter, and use the mean calculation result as the extrusion change parameter, wherein, since the first uniformity change parameter and the first size change parameter are both between 0 and 1, the extrusion change parameter will also be in the range of 0 to 1, which is used to indicate the degree of instability of the overall change fluctuation of the thickness of the insulation layer during the extrusion process. Obtain the preset adjustment step in the process of optimizing the extrusion control parameters, the preset adjustment step includes the temperature parameter adjustment step, the pressure parameter adjustment step and the extrusion speed adjustment step, wherein the adjustment step can be set according to actual needs, such as setting the preset adjustment step to a temperature step of 0.5 degrees Celsius, a pressure step of 0.2 MPa, and a speed step of 0.02 meters per minute. Then multiply the extrusion change parameter by the preset adjustment step to obtain the extrusion adjustment step. Among them, when the extrusion variation parameters are large, it indicates that the thickness or size of the insulation layer is less stable. At this time, setting a larger step size can quickly adjust the extrusion control parameters and quickly approach the optimization area, thereby speeding up the optimization process and improving efficiency; when the extrusion variation parameters are small, it means that the thickness and size of the current extrusion process are relatively stable and close to the ideal parameters. At this time, a smaller step size can be used to finely adjust the control parameters, further improve the accuracy of the optimization, and find a better combination of extrusion parameters nearby. By optimizing and adjusting the step size based on the extrusion variation parameters, a balance between efficiency and accuracy can be achieved in the entire optimization process of the extrusion control parameters, greatly improving the optimization quality and efficiency of the extrusion control parameters.

[0055] Then, the first extrusion control parameter is adjusted by using the extrusion adjustment step length to generate a new parameter combination as the second extrusion control parameter, wherein the second extrusion control parameter updates the temperature, pressure and speed to make it closer to the ideal thickness and size control requirements, and the second extrusion control parameter satisfies the constraints of the extrusion control parameter space; then the first extrusion fitness of the second extrusion control parameter is calculated, and the extrusion control parameter is iteratively optimized using the same method until the preset number of optimizations is reached, multiple extrusion fitnesses of multiple extrusion control parameters are obtained, and the extrusion control parameter with the largest extrusion fitness is selected as the optimal extrusion control parameter. Finally, the power cord production extrusion control is performed according to the optimal extrusion control parameter.

[0056] The extrusion control method for power cord production provided by the embodiment of the present invention has at least the following technical effects:

[0057] 1. By optimizing the extrusion control parameters, the scientificity, accuracy and reliability of the extrusion control parameter settings can be improved, and defects such as uneven thickness distribution and dimensional deviation in the insulation layer can be reduced or avoided, thereby significantly reducing the unqualified rate and improving the overall quality of power cord products.

[0058] 2. By optimizing and adjusting the step size based on the extrusion change parameters, a balance between efficiency and accuracy can be achieved in the entire optimization process of the extrusion control parameters, greatly improving the optimization quality and efficiency of the extrusion control parameters.

[0059] Embodiment 2, as Figure 2 As shown, based on the same inventive concept as the extrusion control method for power cord production provided in Example 1, the embodiment of the present invention also provides an extrusion control system for power cord production, including:

[0060] An extrusion control parameter space acquisition module 01 is used to obtain the extrusion control parameter space of the power cord insulation layer extrusion, and randomly select the first extrusion control parameter in the extrusion control parameter space; an extrusion thickness distribution simulation module 02 is used to simulate the extrusion thickness distribution of the power cord insulation layer according to the first extrusion control parameter, and obtain a first insulation layer thickness distribution sequence; an insulation layer quality analysis module 03 is used to perform insulation layer uniformity analysis and insulation layer dimensional accuracy analysis according to the first insulation layer thickness distribution sequence, and obtain a first uniformity parameter, a first uniformity change parameter, a first dimensional accuracy parameter, and a first dimensional change parameter; an extrusion control parameter optimization module 04 is used to calculate and obtain a first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, set an extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, adjust the first extrusion control parameter, and continue to iteratively optimize the extrusion control parameter to obtain the optimal extrusion control parameter, and perform extrusion control for power cord production.

[0061] In one embodiment, the extrusion control system for power cord production further comprises:

[0062] The temperature parameter space, pressure parameter space and extrusion speed parameter space of the power line insulation layer extrusion are obtained; and the temperature parameter space, pressure parameter space and extrusion speed parameter space are combined to obtain the extrusion control parameter space.

[0063] In one embodiment, the extrusion control system for power cord production further comprises:

[0064] An extrusion thickness distribution simulator is trained using historical data of power cord insulation layer extrusion; the first extrusion control parameter is input into the extrusion thickness distribution simulator, and multiple first insulation layer thickness distributions at multiple extrusion times when the insulation layer is extruded according to the first extrusion control parameter are output to obtain a first insulation layer thickness distribution sequence.

[0065] In one embodiment, the extrusion control system for power cord production further comprises:

[0066] According to the historical extrusion data of the power cord insulation layer extrusion equipment, a sample extrusion control parameter set is collected, and the insulation layer thickness distribution at multiple extrusion times when different sample extrusion control parameters are used to extrude the power cord insulation layer, so as to obtain multiple sample insulation layer thickness distribution sets, wherein the insulation layer thickness distribution includes the insulation layer thickness in multiple directions of the power cord insulation layer; the sample extrusion control parameter set is used as input data, and the multiple sample insulation layer thickness distribution sets are respectively used as output data to train multiple extrusion thickness distribution simulation branches until the training converges; the multiple extrusion thickness distribution simulation branches that have converged are combined to obtain a thickness distribution simulator.

[0067] In one embodiment, the extrusion control system for power cord production further comprises:

[0068] Calculate the insulation layer thickness variance of multiple first insulation layer thickness distributions in the first insulation layer thickness distribution sequence to obtain multiple first insulation layer thickness distribution variances, and calculate the mean to obtain a first uniformity parameter; obtain the standard insulation layer thickness of the power line insulation layer; respectively calculate the average thickness deviations of the multiple first insulation layer thickness distributions and the standard insulation layer thickness to obtain multiple first insulation layer size deviations, and calculate the mean, and use 1 to subtract the mean of the multiple first insulation layer size deviations to obtain a first size accuracy parameter; according to the multiple first insulation layer thickness distribution variances, analyze and calculate to obtain a first uniformity change parameter, and according to the multiple first insulation layer size deviations, analyze and calculate to obtain a first size change parameter.

[0069] In one embodiment, the extrusion control system for power cord production further comprises:

[0070] A preset number of first insulation layer thickness distribution variances are randomly selected from the multiple first insulation layer thickness distribution variances, and the mean of the deviation amplitudes from the first uniformity parameter is calculated to obtain a first uniformity change parameter; a preset number of first insulation layer size deviations are randomly selected from the multiple first insulation layer size deviations, and a preset number of first insulation layer size deviations are subtracted from 1 to obtain a preset number of first insulation layer size accuracy parameters; the mean of the deviation amplitudes between a preset number of first insulation layer size accuracy parameters and the first size accuracy parameter is calculated to obtain a first size change parameter.

[0071] In one embodiment, the extrusion control system for power cord production further comprises:

[0072] The inverse of the first uniformity parameter and the first dimensional accuracy parameter are weightedly calculated to obtain a first extrusion fitness; the mean of the first uniformity change parameter and the first dimensional change parameter is calculated to obtain an extrusion change parameter, which is multiplied by a preset adjustment step to obtain an extrusion adjustment step; the first extrusion control parameter is adjusted using the extrusion adjustment step to obtain a second extrusion control parameter; and the iterative optimization of the extrusion control parameter is continued until the optimization converges to obtain the optimal extrusion control parameter.

[0073] For example 3, please refer to Figure 3 , Figure 3 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device 500, including a memory 510, a processor 520, and a first computer program 511 stored in the memory 510 and executable on the processor 520. When the processor 520 executes the first computer program 511, the following steps are implemented: obtaining an extrusion control parameter space for extrusion of an insulation layer of a power cord, and randomly selecting a first extrusion control parameter in the extrusion control parameter space; simulating the extrusion thickness distribution of the insulation layer of the power cord according to the first extrusion control parameter, and obtaining a first insulation layer thickness distribution sequence; performing insulation layer uniformity analysis and insulation layer dimensional accuracy analysis according to the first insulation layer thickness distribution sequence, and obtaining a first uniformity parameter, a first uniformity change parameter, a first dimensional accuracy parameter, and a first dimensional change parameter; calculating and obtaining a first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, setting an extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, adjusting the first extrusion control parameter, and continuing to perform iterative optimization of the extrusion control parameter to obtain an optimal extrusion control parameter, and performing extrusion control for power cord production.

[0074] Example 4, please refer to Figure 4 , Figure 4 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. Figure 4 As shown, this embodiment provides a computer-readable storage medium 600, on which a second computer program 611 is stored. When the second computer program 611 is executed by a processor, the following steps are implemented: obtaining an extrusion control parameter space for extrusion of an insulation layer of a power cord, and randomly selecting a first extrusion control parameter in the extrusion control parameter space; simulating the extrusion thickness distribution of the insulation layer of the power cord according to the first extrusion control parameter, and obtaining a first insulation layer thickness distribution sequence; performing insulation layer uniformity analysis and insulation layer dimensional accuracy analysis according to the first insulation layer thickness distribution sequence, and obtaining a first uniformity parameter, a first uniformity change parameter, a first dimensional accuracy parameter, and a first dimensional change parameter; calculating and obtaining a first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, setting an extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, adjusting the first extrusion control parameter, and continuing to perform iterative optimization of the extrusion control parameter to obtain the optimal extrusion control parameter, and performing extrusion control for power cord production.

[0075] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0076] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0077] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0078] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0080] Although preferred embodiments of the present invention have been described, additional changes and modifications may occur to these embodiments once those skilled in the art understand the basic inventive concepts.

[0081] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. An extrusion control method for power cord production, characterized in that the method include: Acquire an extrusion control parameter space for extrusion of an insulation layer of a power line, and randomly select a first extrusion control parameter in the extrusion control parameter space; According to the first extrusion control parameter, a simulation is performed on the extrusion thickness distribution of the power cord insulation layer to obtain a first insulation layer thickness distribution sequence; According to the first insulating layer thickness distribution sequence, performing insulating layer uniformity analysis and insulating layer dimensional accuracy analysis to obtain a first uniformity parameter, a first uniformity variation parameter, a first dimensional accuracy parameter and a first dimensional variation parameter; According to the first uniformity parameter and the first dimensional accuracy parameter, the first extrusion fitness is calculated, and according to the first uniformity change parameter and the first dimensional change parameter, the extrusion adjustment step is set, the first extrusion control parameter is adjusted, and the extrusion control parameter is continuously iterated to obtain the optimal extrusion control parameter, and then extrusion control for power cord production is performed.

2. The extrusion control method for power cord production according to claim 1, characterized in that: Get the extrusion control parameter space of the power cord insulation layer extrusion, including: Obtain the temperature parameter space, pressure parameter space and extrusion speed parameter space of the power cord insulation layer extrusion; The temperature parameter space, the pressure parameter space and the extrusion speed parameter space are combined to obtain the extrusion control parameter space.

3. The extrusion control method for power cord production according to claim 1, characterized in that: According to the first extrusion control parameter, an extrusion thickness distribution simulation of the power line insulation layer is performed to obtain a first insulation layer thickness distribution sequence, including: Use historical data of power cord insulation extrusion to train an extrusion thickness distribution simulator; The first extrusion control parameter is input into the extrusion thickness distribution simulator, and a plurality of first insulation layer thickness distributions at a plurality of extrusion times when the insulation layer is extruded according to the first extrusion control parameter are output to obtain a first insulation layer thickness distribution sequence.

4. The extrusion control method for power cord production according to claim 3, characterized in that: Using historical data from power cord insulation extrusion, the extrusion thickness distribution simulator is trained, including: According to the historical extrusion data of the power cord insulation layer extrusion equipment, a set of sample extrusion control parameters is collected, and the insulation layer thickness distribution at multiple extrusion times when the power cord insulation layer is extruded using different sample extrusion control parameters is collected to obtain multiple sets of sample insulation layer thickness distributions, wherein the insulation layer thickness distribution includes the insulation layer thickness in multiple directions of the power cord insulation layer; Using the sample extrusion control parameter set as input data and the plurality of sample insulation layer thickness distribution sets as output data, respectively, to train a plurality of extrusion thickness distribution simulation branches until the training converges; The plurality of converged extrusion thickness distribution simulation branches are combined to obtain a thickness distribution simulator.

5. The extrusion control method for power cord production according to claim 1, characterized in that: According to the first insulating layer thickness distribution sequence, performing insulating layer uniformity analysis and insulating layer dimensional accuracy analysis to obtain a first uniformity parameter, a first uniformity variation parameter, a first dimensional accuracy parameter and a first dimensional variation parameter, including: Calculating the insulation layer thickness variance of a plurality of first insulation layer thickness distributions in the first insulation layer thickness distribution sequence to obtain a plurality of first insulation layer thickness distribution variances, and calculating the mean to obtain a first uniformity parameter; Get the standard insulation thickness of the power cord insulation; Calculating the average thickness deviations of the plurality of first insulating layer thickness distributions and the standard insulating layer thickness respectively, obtaining a plurality of first insulating layer size deviations, and calculating the mean value, and subtracting the mean value of the plurality of first insulating layer size deviations from 1 to obtain a first size accuracy parameter; According to the thickness distribution variances of the plurality of first insulating layers, a first uniformity variation parameter is obtained by analysis and calculation, and according to the size deviations of the plurality of first insulating layers, a first size variation parameter is obtained by analysis and calculation.

6. The extrusion control method for power cord production according to claim 5, characterized in that: Analyzing and calculating to obtain a first uniformity variation parameter according to the thickness distribution variances of the plurality of first insulating layers, and analyzing and calculating to obtain a first size variation parameter according to the size deviations of the plurality of first insulating layers, including: Randomly extracting a preset number of first insulating layer thickness distribution variances from the plurality of first insulating layer thickness distribution variances, calculating a mean of the deviation amplitudes from the first uniformity parameter, and obtaining a first uniformity change parameter; Randomly extracting a preset number of first insulation layer size deviations from the multiple first insulation layer size deviations, and subtracting the preset number of first insulation layer size deviations from 1 to obtain a preset number of first insulation layer size accuracy parameters; The first dimension variation parameter is obtained by calculating the average deviation between the first dimension accuracy parameter of the preset number of first insulation layers extracted and the first dimension accuracy parameter.

7. The extrusion control method for power cord production according to claim 1, characterized in that: The first extrusion fitness is calculated according to the first uniformity parameter and the first dimensional accuracy parameter, the extrusion adjustment step is set according to the first uniformity change parameter and the first dimensional change parameter, the first extrusion control parameter is adjusted, and the iterative optimization of the extrusion control parameter is continued, including: Performing weighted calculation on the inverse of the first uniformity parameter and the first dimensional accuracy parameter to obtain a first extrusion fitness; Calculate the average of the first uniformity change parameter and the first size change parameter to obtain an extrusion change parameter, and multiply the average by a preset adjustment step length to obtain an extrusion adjustment step length; Using the extrusion adjustment step, adjusting the first extrusion control parameter to obtain a second extrusion control parameter; Continue to iterate the optimization of the extrusion control parameters until the optimization converges and the optimal extrusion control parameters are obtained.

8. Extrusion control system for power cord production, characterized in that: The steps for executing the extrusion control method for power cord production according to any one of claims 1 to 7 include: An extrusion control parameter space acquisition module is used to acquire an extrusion control parameter space for extruding the insulation layer of the power cord, and randomly select a first extrusion control parameter in the extrusion control parameter space; An extrusion thickness distribution simulation module, used for simulating the extrusion thickness distribution of the power cord insulation layer according to the first extrusion control parameter to obtain a first insulation layer thickness distribution sequence; an insulating layer quality analysis module, configured to perform an insulating layer uniformity analysis and an insulating layer dimensional accuracy analysis according to the first insulating layer thickness distribution sequence, and obtain a first uniformity parameter, a first uniformity variation parameter, a first dimensional accuracy parameter, and a first dimensional variation parameter; The extrusion control parameter optimization module is used to calculate the first extrusion fitness according to the first uniformity parameter and the first dimensional accuracy parameter, set the extrusion adjustment step according to the first uniformity change parameter and the first dimensional change parameter, adjust the first extrusion control parameter, and continue to iteratively optimize the extrusion control parameter to obtain the optimal extrusion control parameter and perform extrusion control for power cord production.

9. An electronic device, characterized in that: include: Memory for storing computer software programs; A processor is used to read and execute the computer software program, thereby implementing the steps of the extrusion control method for power cord production as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that: The storage medium stores a computer software program, which, when executed by a processor, implements the steps of the extrusion control method for power cord production as claimed in any one of claims 1 to 7.

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