Shielded cable automatic production control system and method thereof

Abstract

The invention discloses a shielded cable automatic production control system and method, and relates to the technical field of cable manufacturing, and the method comprises the steps: obtaining application scene information of a target shielded cable, carrying out the element extraction of the application scene information, and obtaining cable application demand element parameters; generating a shielded cable application production standard, and performing cable process design to determine cable production process design parameters; activating a cable production equipment production line; constructing a cable production process database, performing traversal search optimization in the cable production process database by taking the cable production process design parameters as constraint parameters, outputting cable production process control parameters, and performing pre-production test on a target shielding cable to obtain cable production feedback parameters; and performing cable production optimization control through the cable production feedback parameters. The technical problems of inaccurate production process control and unstable product quality in the prior art are solved, and the technical effect of improving the cable product quality and the production efficiency is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable manufacturing, and in particular to an automated production control system and method for shielded cables. Background Art

[0002] With the rapid growth of industrial production demand for shielded cables, the production process of shielded cables faces increasingly higher quality and efficiency requirements. However, traditional production control methods mainly rely on pre-set process parameters, resulting in inaccurate production process control and difficulty in responding to process changes in a timely manner. Problems such as low control accuracy and slow parameter adjustment often occur, which in turn affects product consistency and performance stability, resulting in unstable product quality. Summary of the invention

[0003] The present application provides a shielded cable automated production control system and method thereof, which are used to solve the technical problems of inaccurate production process control and unstable product quality in the prior art.

[0004] In view of the above problems, the present application provides a shielded cable automated production control system and method thereof.

[0005] In a first aspect of the present application, a shielded cable automated production control system is provided, the system comprising: An element extraction module, the element extraction module obtains application scenario information of the target shielded cable, extracts elements from the application scenario information, and obtains cable application requirement element parameters; a design parameter determination module, the design parameter determination module quantifies the cable application requirement element parameters to produce standards, generates shielded cable application production standards, and performs cable process design based on the shielded cable application production standards to determine cable production process design parameters; a production line activation module, the production line activation module activates the cable production equipment production line according to the cable production process design parameters; a process control parameter determination module, the process control parameter determination module constructs a cable production process database through the cable production equipment production line, uses the cable production process design parameters as constraint parameters to perform traversal search and optimization in the cable production process database, and outputs cable production process control parameters; a production optimization control module, the production optimization control module performs pre-production testing on the target shielded cable based on the cable production process control parameters to obtain cable production feedback parameters, and performs cable production optimization control through the cable production feedback parameters.

[0006] A second aspect of the present application provides a shielded cable automated production control method, the method comprising: Acquire application scenario information of the target shielded cable, extract elements of the application scenario information, and obtain cable application requirement element parameters; quantify the cable application requirement element parameters to produce production standards, generate shielded cable application production standards, and perform cable process design based on the shielded cable application production standards to determine cable production process design parameters; activate the cable production equipment production line according to the cable production process design parameters; construct a cable production process database through the cable production equipment production line, use the cable production process design parameters as constraint parameters to traverse and search for optimization in the cable production process database, and output cable production process control parameters; perform pre-production testing on the target shielded cable based on the cable production process control parameters to obtain cable production feedback parameters, and perform cable production optimization control through the cable production feedback parameters.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: The present application obtains the application scenario information of the target shielded cable, extracts the elements of the application scenario information, and obtains the cable application demand element parameters; quantifies the production standard of the cable application demand element parameters, generates the shielded cable application production standard, and performs cable process design based on the shielded cable application production standard, and determines the cable production process design parameters; according to the cable production process design parameters, activates the cable production equipment production line; constructs a cable production process database through the cable production equipment production line, uses the cable production process design parameters as constraint parameters to traverse and search for optimization in the cable production process database, and outputs the cable production process control parameters; performs pre-production testing on the target shielded cable based on the cable production process control parameters, obtains the cable production feedback parameters, and optimizes the cable production through the cable production feedback parameters. The present invention solves the technical problems of inaccurate production process control and unstable product quality in the prior art, extracts application demand parameters, quantifies and generates production standards, activates the production line after process design, constructs a process database and traverses and searches to optimize the process control parameters, and realizes precise control of the production process through pre-production testing and feedback optimization, so as to achieve the technical effect of improving the quality of cable products and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic diagram of the structure of a shielded cable automated production control system provided in an embodiment of the present application; Figure 2 A schematic flow chart of a method for automated production control of shielded cables provided in an embodiment of the present application.

[0010] Explanation of the reference numerals: element extraction module 11 , design parameter determination module 12 , production line activation module 13 , process control parameter determination module 14 , production optimization control module 15 . DETAILED DESCRIPTION

[0011] The present application provides a shielded cable automated production control system and method thereof, aiming to solve the technical problems of inaccurate production process control and unstable product quality in the prior art. By extracting application requirement parameters and quantifying and generating production standards, activating the production line after process design, building a process database and traversing and searching to optimize process control parameters, the application achieves precise control of the production process through pre-production testing and feedback optimization, thereby achieving the technical effect of improving cable product quality and production efficiency.

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0013] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0014] Embodiment 1, as Figure 1 As shown, an embodiment of the present application provides a shielded cable automated production control system, the system comprising: The element extraction module 11 obtains application scenario information of the target shielded cable, extracts elements from the application scenario information, and obtains cable application requirement element parameters.

[0015] In an embodiment of the present application, the application scenario information of the target shielded cable is first obtained from a preset database, including the environment in which the cable is used (such as temperature, humidity, etc.) and electrical requirements (such as voltage, frequency, etc.).

[0016] Next, the application scenario information is extracted to obtain the cable application requirement factor parameters. The cable application requirement factor parameters include environmental attributes, physical attributes, and electrical attributes. For example, environmental attributes include the cable's operating temperature range, humidity range, and UV resistance; physical attributes involve the cable's tensile strength, bendability, and flexibility; electrical attributes include the cable's voltage level, transmission frequency, and current type.

[0017] The design parameter determination module 12 quantifies the production standard of the cable application requirement factor parameters, generates the shielded cable application production standard, performs cable process design based on the shielded cable application production standard, and determines the cable production process design parameters.

[0018] In the embodiment of the present application, the application demand elements of the cable, such as environmental conditions, physical properties, electrical performance, etc., are first classified, and key performance indicators are extracted. Then, based on these performance indicators, the application requirements of the cable are quantified into specific production standards to ensure that the design of the cable matches its actual application environment. Next, based on these production standards, the historical process design data is compared with the corresponding production performance data, the most suitable production process parameters are selected through similarity analysis, and difference analysis and optimization are performed to finally determine the cable production process design parameters.

[0019] Furthermore, in the system provided in the embodiment of the application, the design parameter determination module 12 is also used for: The cable application requirement factor parameters are attribute-classified to obtain cable application requirement attributes, wherein the cable application requirement attributes include environmental attributes, physical attributes, electrical attributes and special performances; related indicators are extracted based on the cable application requirement attributes to construct a cable application attribute evaluation indicator set; correlation analysis and indicator dimension reduction are performed on each indicator information in the cable application attribute evaluation indicator set to obtain a cable key application performance indicator set; production standards are quantified for the cable application requirement factor parameters based on the cable key application performance indicator set to generate the shielded cable application production standard.

[0020] In the embodiment of the present application, the cable application requirement factor parameters are first classified by attributes. Specifically, a rule-driven automatic classification method is adopted to classify the cable application requirement factors into environmental attributes, physical attributes, electrical attributes and special properties through preset classification rules. Environmental attributes include temperature range, humidity, etc., physical attributes include tensile strength, flexibility, etc., electrical attributes involve voltage, frequency, current type, etc., and special properties include fire resistance, UV resistance, etc.

[0021] Next, we extract related indicators based on the cable application demand attributes, and select important indicators related to each type of attribute from historical data and industry standards through data screening methods. For example, under electrical attributes, voltage, current, and frequency are selected as key electrical indicators; under physical attributes, tensile strength, flexibility, bendability, etc. are extracted as indicators, and these indicators are integrated to complete the construction of the cable application attribute evaluation indicator set.

[0022] Then, the correlation analysis and indicator dimension reduction are performed on the indicator information in the cable application attribute evaluation indicator set. The Pearson correlation coefficient analysis method is used to calculate the correlation between each pair of indicators, and identify which indicators have a correlation higher than the preset threshold and which indicators are lower than the preset threshold. Next, the principal component analysis is used to reduce the dimension of indicators with correlation higher than the preset threshold, and the most representative set of cable key application performance indicators is extracted. The preset threshold is pre-set by technical experts and can be set to 0.8.

[0023] After dimensionality reduction, the set of key application performance indicators of cables is standardized. Specifically, the design parameter determination module converts various performance indicators into a unified standard range through normalization methods, such as minimum-maximum normalization, so that different indicators are comparable in value. For example, indicators such as voltage, current, and tensile strength are uniformly converted into a standardized interval (such as between 0 and 1) to ensure that these indicators can be compared and comprehensively analyzed on the same quantitative scale.

[0024] Finally, based on the standardized set of key cable application performance indicators, the shielded cable application production standards are generated.

[0025] Furthermore, in the system provided in the embodiment of the application, the design parameter determination module 12 is also used for: Mining and acquiring a cable production design database, wherein the cable production design database includes historical cable production process design parameters and corresponding cable application production performance data; performing similarity calculation based on the shielded cable application production standard and each design data in the cable production design database to obtain a cable design parameter similarity set; optimizing the cable production design database according to the cable design parameter similarity set to obtain matching production process design parameters; performing difference analysis and parameter optimization on the matching production process design parameters to determine the cable production process design parameters.

[0026] In an embodiment of the present application, a cable production design database is first obtained by mining, and this database contains a large number of historical cable production process design parameters and corresponding cable application production performance data. In order to extract useful data, SQL queries are used to retrieve historical cable production parameters and corresponding cable application performance data (such as electrical properties, tensile strength, bendability, etc.) from the database. After extracting these historical data, preprocessing is performed, including data cleaning, missing value filling and outlier processing. For example, if there are missing values ​​in certain production parameters or performance data, they are filled by mean filling or interpolation, and outliers are eliminated by standard deviation or box plot analysis. The preprocessed data is standardized so that data of different units and scales can be effectively compared, which is convenient for subsequent analysis. Through this process, historical cable production process design parameters and corresponding cable application production performance data are obtained.

[0027] Next, the similarity calculation is performed based on the shielded cable application production standards and the design data in the cable production design database. First, the cable application production standards are converted into standardized vector form, which includes various indicators such as environmental requirements (such as temperature and humidity), physical properties (such as tensile strength and bending), and electrical requirements (such as voltage and current). Then the similarity between the current production standard and the historical design data is calculated through cosine similarity, and the cable design parameter similarity set is obtained through calculation.

[0028] Then, the cable production design database is optimized according to the cable design parameter similarity set, and the historical cable production process design parameters with the highest similarity are selected as the matching production process design parameters.

[0029] Finally, the matching production process design parameters are analyzed for differences and parameter optimization. Specifically, the application production performance information of the cable is first determined based on the matching production process design parameters. Then, the cable production performance deviation parameters are obtained by calculating the difference between the cable production performance and the shielded cable application production standard. In order to further optimize these differences, the historical cable production process design parameters and the corresponding production performance data are used for prediction fitting to build a cable design performance prediction model. Finally, based on the prediction model, the cable production performance deviation parameters are compensated and optimized to determine the cable production process design parameters.

[0030] Furthermore, in the system provided in the embodiment of the application, the design parameter determination module 12 is also used for: According to the matching production process design parameters, the cable application production performance information is determined; the difference between the cable application production performance information and the shielded cable application production standard is used as the cable production performance deviation parameter; the historical cable production process design parameters and the corresponding cable application production performance data are predicted and fitted to obtain a cable design performance prediction model; based on the cable design performance prediction model, the cable production performance deviation parameters are compensated and optimized to determine the cable production process design parameters.

[0031] In an embodiment of the present application, firstly, according to the matching production process design parameters, the corresponding cable application production performance information is extracted from the cable production design database through the SQL query method, including historical production performance information related to electrical performance, tensile strength, bending, etc.

[0032] Next, the obtained cable application production performance information is compared with the shielded cable application production standard through the difference calculation method, and the difference of each performance is calculated as the cable production performance deviation parameter. For example, if the actual tensile strength of the cable is 480N, and the standard requirement is 500N, the deviation parameter is -20N, indicating that the performance does not meet the standard. Next, using regression analysis methods such as linear regression or multivariate regression, the historical cable production process design parameters and their corresponding production performance data are fitted to construct a cable design performance prediction model. This model reveals the relationship between production parameters and cable application performance, so that it can predict the actual performance of the cable under given design parameters.

[0033] Based on the cable design performance prediction model, optimization algorithms, such as genetic algorithms, are used to compensate and optimize the cable production performance deviation parameters. The optimization algorithm simulates the natural selection process and iteratively adjusts the production process design parameters to gradually reduce the deviation between the cable performance and the production standard until the optimized design parameters that meet the standard are obtained. Finally, the optimized cable production process design parameters are compared and confirmed with the shielded cable application production standards through the rule screening method to ensure that the optimized design parameters meet the standard requirements, thereby finally obtaining the cable production process design parameters.

[0034] The production line activation module 13 activates the cable production equipment production line according to the cable production process design parameters.

[0035] In the embodiment of the present application, the production line activation module receives the cable production process design parameters and sets the cable production equipment. The cable production process design parameters include key parameters in the production process, such as temperature, pressure, speed, material ratio, etc. After completing the parameter setting, the cable production equipment production line is activated and the equipment is started.

[0036] The process control parameter determination module 14 constructs a cable production process database through the cable production equipment production line, uses the cable production process design parameters as constraint parameters to traverse and search for optimization in the cable production process database, and outputs the cable production process control parameters.

[0037] In the embodiment of the present application, first, the process control parameter determination module collects process data in the historical production process through the cable production equipment production line, including various process parameters (such as temperature, pressure, speed, time, etc.) and their corresponding production results (such as the tensile strength, flexibility, electrical performance, etc. of the cable). These data are aggregated to complete the construction of the cable production process database, which records the relationship between different process parameters and their corresponding production results.

[0038] Then the cable production process design parameters are input into the database as constraint parameters. By traversing the cable production process database and matching with the design parameters, the parameters are searched and optimized to find the best process control parameter combination, and finally the optimized cable production process control parameters are output.

[0039] Furthermore, in the system provided in the embodiment of the application, the process control parameter determination module 14 is also used for: The cable production process design parameters are used as constraint parameters to perform matching and division in the cable production process database to obtain a cable production process optimization database; parameter search is performed in the cable production process optimization database according to a global search step to obtain a global process control parameter set; indicator extraction and evaluation fitting are performed based on the cable production process database to construct a production control evaluation fitness function; the global process control parameters are compared and optimized using the production control evaluation fitness function to obtain the cable production process control parameters.

[0040] In the embodiment of the present application, the cable production process design parameters are first used as constraint parameters to match and divide the cable production process database. Specifically, by using a classification matching algorithm, such as K-means clustering, the historical data is divided into multiple subsets according to production conditions and results to form a cable production process optimization database.

[0041] Then, according to the pre-set global search step size, such as the particle speed in the particle swarm optimization algorithm, the parameter search is performed in the cable production process optimization database. Through step-by-step search, multiple possible process parameter combinations are found in the database to form a global process control parameter set.

[0042] After obtaining the global process control parameter set, the process control parameter determination module further extracts indicators and evaluates and fits based on the cable production process database to construct a production control evaluation fitness function. Specifically, first, key process parameters (such as temperature, pressure, stretching speed, etc.) and corresponding production results (such as tensile strength, flexibility, etc.) are extracted from the process database. These parameters directly affect production performance. Through data mining methods, such as association rule analysis, parameters closely related to the target production performance are identified, so as to determine a set of process parameters and results highly related to cable performance as core indicators to provide support for evaluation and fitting. Next, feature selection is performed to optimize these preliminary indicators and further remove unimportant features. The variance of each parameter is calculated by using the variance threshold method to screen out parameters that have a greater impact on production performance and remove parameters with variances below the set threshold. Through this process, process parameters that have a significant impact on production results are retained, thereby obtaining an optimized set of key process parameters to provide accurate data for the construction of the fitness function.

[0043] Based on the screened key process parameters, a fitness function model is constructed using the multivariate regression analysis method. The form of the fitness function is , where Y represents the cable production performance (such as tensile strength, flexibility, etc.), , , ..., For different production process parameters (such as temperature, stretching speed, etc.), , , ..., is the regression coefficient, obtained by fitting historical data.

[0044] Subsequently, the global process control parameter set is evaluated using the fitness function to determine the optimal control parameters. In this process, a greedy algorithm is used to gradually iterate and update the process parameters to gradually approach the optimal solution, thereby obtaining a set of optimized process control parameters. Next, for further optimization, the gradient ascent method is used to optimize the local direction control parameter set. The gradient ascent method adjusts the production parameters by calculating the gradient of the fitness function to improve the cable production performance. After each adjustment, the fitness function is re-evaluated until the local optimal solution is reached. After local optimization, the control parameter set in the target direction is further optimized through iterative search. Each iteration adjusts the parameters through gradient calculation, and compares the effects of different parameter sets until the preset maximum number of iterations is reached. Finally, through global comparison and optimization, it is ensured that the optimized cable production process control parameters meet the shielded cable application production standards, and finally the cable production process control parameters are obtained.

[0045] Furthermore, in the system provided in the embodiment of the application, the process control parameter determination module 14 is also used for: The fitness of the global process control parameter set is evaluated by using the production control evaluation fitness function to obtain a global control parameter fitness set; a gradient ascent calculation is performed on the global process control parameter set based on the global control parameter fitness set to determine a local directional control parameter set; an iterative search evaluation and gradient calculation comparison are performed on the local directional control parameter set until a preset number of iterations are reached to obtain a target directional control parameter set; a global comparison and optimization is performed based on the target directional control parameter set to obtain the cable production process control parameters.

[0046] In an embodiment of the present application, the fitness of the global process control parameter set is first evaluated using the production control evaluation fitness function to measure their impact on production performance, and ultimately a global control parameter fitness set is obtained, which contains the fitness value of each parameter combination.

[0047] Then, based on the global control parameter fitness set, the global process control parameter set is further gradient-ascended to determine the local direction control parameter set. The gradient ascent method is used to optimize the fitness value. By calculating the partial derivative of the fitness function with respect to each process parameter, the gradient vector of the current parameter combination is obtained. The gradient vector indicates the adjustment direction of each parameter to improve the fitness value. After this process, the local direction control parameter set is obtained, which is a parameter combination that is further optimized based on the global parameter set.

[0048] Then, the local directional control parameter set is iteratively searched, evaluated, and gradient calculated. In each iteration, the fitness value of the current parameter set is first evaluated, and then the gradient of the fitness function is calculated to further adjust the parameter combination so that the fitness value gradually increases. This process continuously updates the local directional control parameter set so that it converges to the optimal solution. The iteration continues until the preset number of iterations is reached, and finally the target directional control parameter set is obtained, which represents the optimal process control parameter combination under local optimization conditions.

[0049] After determining the target direction control parameter set, the module performs a global comparison and optimization to finally obtain the cable production process control parameters. In this step, the target direction control parameter set is compared with the global parameter set, and the parameter combination is further optimized through screening and optimization strategies. First, a global comparison is performed to screen out those parameter combinations that also have high fitness under global conditions. Then, these excellent parameter combinations are fine-tuned to ensure that the fitness value is maximized. Finally, the parameter combination with the highest fitness value is selected from all candidate parameters and determined as the cable production process control parameter.

[0050] The production optimization control module 15 performs a pre-production test on the target shielded cable based on the cable production process control parameters, obtains cable production feedback parameters, and performs cable production optimization control through the cable production feedback parameters.

[0051] In the embodiment of the present application, the target shielded cable is first pre-produced and tested based on the cable production process control parameters. At this stage, process control parameters such as temperature, pressure, and stretching speed are input into the production equipment to start trial production. During the pre-production process, the production equipment collects various feedback data in the cable production process in real time through sensors and data acquisition systems. These cable production feedback parameters include information such as actual production temperature, pressure, speed, and preliminary cable properties (such as tensile strength, electrical properties, etc.).

[0052] Next, the feedback parameters are compared with the cable application production standards to identify process deviations and obtain process performance parameters to be improved. For these parameters to be improved, the fine-tuning variation rules of the control parameters are determined, and the production process control parameters are fine-tuned and optimized according to these rules, and the production conditions are gradually adjusted to make the production results closer to the standard requirements. Through this closed-loop feedback method, the production process control is continuously optimized until all process indicators reach the predetermined standards, and finally the cable production optimization control is completed.

[0053] Furthermore, in the system provided in the embodiment of the application, the production optimization control module 15 is also used for: According to the shielded cable application production standard, the cable production feedback parameters are analyzed for process improvement to obtain the process performance parameters of the cable to be improved; the cable process performance parameters to be improved are analyzed for production process optimization to determine the control parameter fine-tuning variation rules; based on the control parameter fine-tuning variation rules, the cable production process control parameters are mutated and fine-tuned to find the best, to obtain the cable production process optimization control parameters, and the cable production optimization control is performed through the cable production process optimization control parameters.

[0054] In the embodiment of the present application, firstly, based on the shielded cable application production standard, the production feedback parameters are analyzed for process improvement. Specifically, the difference calculation and standard comparison method are used to compare the actual production feedback parameters, such as temperature, pressure, speed, tensile strength, etc., with the production standards one by one, and the deviation of each parameter is calculated. For example, if the production standard requires a temperature of 180°C, and the actual temperature of the feedback is 170°C, the temperature deviation is -10°C. Through this difference calculation, all parameters that do not meet the production standards are identified and integrated to obtain the cable process performance parameters to be improved.

[0055] Then, the process performance parameters to be improved are analyzed for production process optimization to determine the specific control parameter fine-tuning variation rules. In this process, data mining is directly performed to extract data samples similar to the current production conditions and deviations from the historical database, including process parameters and corresponding production performance feedback under similar conditions in the past. Through association rule mining, the impact pattern of process parameters on production performance is identified. For example, if historical data shows that increasing temperature increases tensile strength, the module will directly generate a fine-tuning variation rule that increases the heating power by 5% each time; if it is found that reducing the stretching speed can improve the tensile strength, a rule is generated to reduce the stretching speed by 1% each time.

[0056] After obtaining the fine-tuning variation rules, the cable production process control parameters are mutated and fine-tuned to find the best. Using progressive adjustment and closed-loop feedback control, the process control parameters are gradually adjusted according to the variation rules, and new feedback parameters are collected in real time after each adjustment. Specifically, first, one or more process parameters are adjusted slightly according to the fine-tuning rules (such as increasing the temperature or reducing the stretching speed); then the adjusted feedback data, such as the latest values ​​of temperature, speed and tensile strength, are collected in real time through sensors. Then the new feedback parameters are compared with the production standards again to calculate the new deviation values. By comparing the new and old deviations, it is determined whether the adjustment direction is correct. If the new deviation value is reduced, indicating that the adjustment direction is correct, continue to adjust in this direction; if the deviation increases, adjust the process parameters in the opposite direction. Through repeated adjustments and real-time feedback comparisons, the deviation is gradually reduced, and finally the cable production process control parameters that meet the production standards are obtained.

[0057] Finally, the obtained cable production process optimization control parameters are input into the production equipment to complete the cable production optimization control.

[0058] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects: The present application obtains the application scenario information of the target shielded cable, extracts the elements of the application scenario information, and obtains the cable application demand element parameters; quantifies the production standard of the cable application demand element parameters, generates the shielded cable application production standard, and performs cable process design based on the shielded cable application production standard, and determines the cable production process design parameters; according to the cable production process design parameters, activates the cable production equipment production line; constructs a cable production process database through the cable production equipment production line, uses the cable production process design parameters as constraint parameters to traverse and search for optimization in the cable production process database, and outputs the cable production process control parameters; performs pre-production testing on the target shielded cable based on the cable production process control parameters, obtains the cable production feedback parameters, and optimizes the cable production through the cable production feedback parameters. The present invention solves the technical problems of inaccurate production process control and unstable product quality in the prior art, extracts application demand parameters, quantifies and generates production standards, activates the production line after process design, constructs a process database and traverses and searches to optimize the process control parameters, and realizes precise control of the production process through pre-production testing and feedback optimization, so as to achieve the technical effect of improving the quality of cable products and production efficiency.

[0059] Embodiment 2 is based on the same inventive concept as the automatic production control system for shielded cables in the above embodiment. Figure 2 As shown, an embodiment of the present application provides a shielded cable automated production control method, the method comprising: Acquire application scenario information of the target shielded cable, extract elements of the application scenario information, and obtain cable application requirement element parameters; quantify the cable application requirement element parameters to produce production standards, generate shielded cable application production standards, and perform cable process design based on the shielded cable application production standards to determine cable production process design parameters; activate the cable production equipment production line according to the cable production process design parameters; construct a cable production process database through the cable production equipment production line, use the cable production process design parameters as constraint parameters to traverse and search for optimization in the cable production process database, and output cable production process control parameters; perform pre-production testing on the target shielded cable based on the cable production process control parameters to obtain cable production feedback parameters, and perform cable production optimization control through the cable production feedback parameters.

[0060] Furthermore, the method for generating the shielded cable application production standard further includes: The cable application requirement factor parameters are attribute-classified to obtain cable application requirement attributes, wherein the cable application requirement attributes include environmental attributes, physical attributes, electrical attributes and special performances; related indicators are extracted based on the cable application requirement attributes to construct a cable application attribute evaluation indicator set; correlation analysis and indicator dimension reduction are performed on each indicator information in the cable application attribute evaluation indicator set to obtain a cable key application performance indicator set; production standards are quantified for the cable application requirement factor parameters based on the cable key application performance indicator set to generate the shielded cable application production standard.

[0061] Furthermore, the method for determining the cable production process design parameters further includes: Mining and acquiring a cable production design database, wherein the cable production design database includes historical cable production process design parameters and corresponding cable application production performance data; performing similarity calculation based on the shielded cable application production standard and each design data in the cable production design database to obtain a cable design parameter similarity set; optimizing the cable production design database according to the cable design parameter similarity set to obtain matching production process design parameters; performing difference analysis and parameter optimization on the matching production process design parameters to determine the cable production process design parameters.

[0062] Furthermore, the method for determining the cable production process design parameters further includes: According to the matching production process design parameters, the cable application production performance information is determined; the difference between the cable application production performance information and the shielded cable application production standard is used as the cable production performance deviation parameter; the historical cable production process design parameters and the corresponding cable application production performance data are predicted and fitted to obtain a cable design performance prediction model; based on the cable design performance prediction model, the cable production performance deviation parameters are compensated and optimized to determine the cable production process design parameters.

[0063] Furthermore, the output cable production process control parameters, the method also includes: The cable production process design parameters are used as constraint parameters to perform matching and division in the cable production process database to obtain a cable production process optimization database; parameter search is performed in the cable production process optimization database according to a global search step to obtain a global process control parameter set; indicator extraction and evaluation fitting are performed based on the cable production process database to construct a production control evaluation fitness function; the global process control parameter set is compared and optimized using the production control evaluation fitness function to obtain the cable production process control parameters.

[0064] Furthermore, the method for obtaining the cable production process control parameters further includes: The fitness of the global process control parameter set is evaluated by using the production control evaluation fitness function to obtain a global control parameter fitness set; a gradient ascent calculation is performed on the global process control parameter set based on the global control parameter fitness set to determine a local directional control parameter set; an iterative search evaluation and gradient calculation comparison are performed on the local directional control parameter set until a preset number of iterations are reached to obtain a target directional control parameter set; a global comparison and optimization is performed based on the target directional control parameter set to obtain the cable production process control parameters.

[0065] Furthermore, the cable production optimization control is performed by using the cable production feedback parameters, and the method further includes: According to the shielded cable application production standard, the cable production feedback parameters are analyzed for process improvement to obtain the process performance parameters of the cable to be improved; the cable process performance parameters to be improved are analyzed for production process optimization to determine the control parameter fine-tuning variation rules; based on the control parameter fine-tuning variation rules, the cable production process control parameters are mutated and fine-tuned to find the best, to obtain the cable production process optimization control parameters, and the cable production optimization control is performed through the cable production process optimization control parameters.

[0066] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0067] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0068] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A shielded cable automated production control system, characterized in that: The system comprises: An element extraction module, wherein the element extraction module obtains application scenario information of a target shielded cable, extracts elements from the application scenario information, and obtains element parameters of cable application requirements; A design parameter determination module, wherein the design parameter determination module quantifies the production standard of the cable application requirement factor parameters, generates a shielded cable application production standard, performs cable process design based on the shielded cable application production standard, and determines the cable production process design parameters; A production line activation module, wherein the production line activation module activates a cable production equipment production line according to the cable production process design parameters; A process control parameter determination module, wherein the process control parameter determination module constructs a cable production process database through the cable production equipment production line, uses the cable production process design parameters as constraint parameters to perform traversal search and optimization in the cable production process database, and outputs the cable production process control parameters; A production optimization control module, wherein the production optimization control module performs a pre-production test on the target shielded cable based on the cable production process control parameters, obtains cable production feedback parameters, and performs cable production optimization control through the cable production feedback parameters.

2. A shielded cable automated production control system as claimed in claim 1, characterized in that: The shielded cable shall be produced according to the following production standards: Classifying the cable application requirement factor parameters to obtain cable application requirement attributes, wherein the cable application requirement attributes include environmental attributes, physical attributes, electrical attributes, and special performances; Based on the cable application requirement attributes, associated indicators are extracted respectively to construct a set of cable application attribute evaluation indicators; Performing correlation analysis and indicator dimension reduction on each indicator information in the cable application property evaluation indicator set to obtain a cable key application performance indicator set; The production standard of the cable application requirement factor parameters is quantified based on the cable key application performance indicator set to generate the shielded cable application production standard.

3. The shielded cable automated production control system according to claim 1, characterized in that: Determining the cable production process design parameters includes: Mining and acquiring a cable production design database, wherein the cable production design database includes historical cable production process design parameters and corresponding cable application production performance data; Based on the shielded cable application production standard and each design data in the cable production design database, similarity calculation is performed to obtain a cable design parameter similarity set; Optimizing the cable production design database according to the cable design parameter similarity set to obtain matching production process design parameters; The matching production process design parameters are subjected to difference analysis and parameter optimization to determine the cable production process design parameters.

4. A shielded cable automated production control system as claimed in claim 3, characterized in that: Determining the cable production process design parameters includes: Determining cable application production performance information according to the matching production process design parameters; The difference between the cable application production performance information and the shielded cable application production standard is used as a cable production performance deviation parameter; The historical cable production process design parameters and the corresponding cable application production performance data are predicted and fitted to obtain a cable design performance prediction model; The cable production performance deviation parameters are compensated and optimized based on the cable design performance prediction model to determine the cable production process design parameters.

5. The shielded cable automated production control system according to claim 1, characterized in that: The output cable production process control parameters include: The cable production process design parameters are used as constraint parameters to perform matching and division in the cable production process database to obtain a cable production process optimization database; Perform parameter search in the cable production process optimization database according to the global search step length to obtain a global process control parameter set; Based on the cable production process database, index extraction and evaluation fitting are performed to construct a production control evaluation fitness function; The production control evaluation fitness function is used to compare and optimize the global process control parameter set to obtain the cable production process control parameters.

6. A shielded cable automated production control system as claimed in claim 5, characterized in that: The obtaining of the cable production process control parameters comprises: Using the production control evaluation fitness function to perform fitness evaluation on the global process control parameter set to obtain a global control parameter fitness set; Performing a gradient ascent calculation on the global process control parameter set based on the global control parameter fitness set to determine a local direction control parameter set; Performing iterative search evaluation and gradient calculation comparison on the local directional control parameter set until a preset number of iterations is performed to obtain a target directional control parameter set; A global comparison and optimization is performed based on the target direction control parameter set to obtain the cable production process control parameters.

7. The automatic production control system for shielded cables according to claim 1, characterized in that: The cable production optimization control is performed by using the cable production feedback parameters, including: Performing process improvement analysis on the cable production feedback parameters according to the shielded cable application production standards to obtain the process performance parameters of the cable to be improved; Performing production process optimization analysis on the process performance parameters of the cable to be improved, and determining the variation rules for fine-tuning the control parameters; Based on the control parameter fine-tuning variation rule, the cable production process control parameters are mutated and fine-tuned to find the best, the cable production process optimization control parameters are obtained, and the cable production optimization control is performed through the cable production process optimization control parameters.

8. A shielded cable automated production control method, characterized in that: The method is performed by a shielded cable automated production control system according to any one of claims 1 to 7, comprising: Acquire application scenario information of the target shielded cable, extract elements from the application scenario information, and obtain cable application requirement element parameters; Quantifying the production standards of the cable application demand factor parameters, generating shielded cable application production standards, and performing cable process design based on the shielded cable application production standards to determine cable production process design parameters; Activate the cable production equipment production line according to the cable production process design parameters; Building a cable production process database through the cable production equipment production line, using the cable production process design parameters as constraint parameters to perform traversal search and optimization in the cable production process database, and outputting the cable production process control parameters; Based on the cable production process control parameters, a pre-production test is performed on the target shielded cable to obtain cable production feedback parameters, and cable production optimization control is performed using the cable production feedback parameters.

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