An automated production control system and method for shielded cables

Abstract

The present invention discloses an automatic production control system and method for shielded cables, which relates to the technical field of cable manufacturing, and includes: obtaining the application scenario information of the target shielded cable, extracting elements from the application scenario information to obtain cable application requirement element parameters; generating a production standard for shielded cable applications, and conducting cable process design to determine cable production process design parameters; activating the production line of cable production equipment; constructing a cable production process database, traversing and searching for optimization within the cable production process database with the cable production process design parameters as constraint parameters, outputting cable production process control parameters, and conducting pre-production tests on the target shielded cable to obtain cable production feedback parameters, and performing optimization control of cable production through the cable production feedback parameters. The present invention solves the technical problems of inaccurate production process control and unstable product quality existing in the prior art, and achieves the technical effects of improving the quality and production efficiency of cable products.

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's demand for shielded cables, the production process of shielded cables faces increasingly high requirements for quality and efficiency. However, traditional production control methods mainly rely on pre-set process parameters, resulting in inaccurate production process control, difficulty in responding promptly to process changes, and often problems such as low control accuracy and slow parameter adjustment, which in turn affect the consistency and performance stability of products, leading to unstable product quality. Summary of the Invention

[0003] This application provides an automated production control system and method for shielded cables, which are used to solve the technical problems of inaccurate production process control and unstable product quality existing in the prior art.

[0004] In view of the above problems, this application provides an automated production control system and method for shielded cables.

[0005] In the first aspect of this application, an automated production control system for shielded cables is provided. The system includes:

[0006] An element extraction module, which obtains the application scenario information of the target shielded cable, extracts elements from the application scenario information to obtain cable application requirement element parameters; a design parameter determination module, which quantifies the production standards for the cable application requirement element parameters, generates a production standard for shielded cable applications, and conducts cable process design based on the production standard for shielded cable applications to determine cable production process design parameters; a production line activation module, which activates the cable production equipment production line according to the cable production process design parameters; a process control parameter determination module, which constructs a cable production process database through the cable production equipment production line, traverses and searches for optimization within the cable production process database using the cable production process design parameters as constraint parameters, and outputs cable production process control parameters; a production optimization control module, which conducts pre-production testing on the target shielded cable based on the cable production process control parameters to obtain cable production feedback parameters, and conducts cable production optimization control through the cable production feedback parameters.

[0007] In the second aspect of this application, an automated production control method for shielded cables is provided. The method includes:

[0008] Obtain the application scenario information of the target shielded cable, extract the elements from the application scenario information to obtain the cable application requirement element parameters; quantify the cable application requirement element parameters into production standards to generate the shielded cable application production standards, and based on the shielded cable application production standards, conduct cable process design to determine the cable production process design parameters; according to the cable production process design parameters, activate the cable production equipment production line; construct a cable production process database through the cable production equipment production line, use the cable production process design parameters as constraint parameters to perform traversal search and optimization in the cable production process database, and output the cable production process control parameters; based on the cable production process control parameters, conduct pre-production testing on the target shielded cable to obtain cable production feedback parameters, and perform cable production optimization control through the cable production feedback parameters.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application obtains the application scenario information of the target shielded cable, extracts the elements from the application scenario information to obtain the cable application requirement element parameters; quantifies the cable application requirement element parameters into production standards to generate the shielded cable application production standards, and based on the shielded cable application production standards, conducts cable process design to determine 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 perform traversal search and optimization in the cable production process database, and outputs the cable production process control parameters; based on the cable production process control parameters, conducts pre-production testing on the target shielded cable to obtain cable production feedback parameters, and performs cable production optimization control through the cable production feedback parameters. This invention solves the technical problems of inaccurate production process control and unstable product quality existing in the prior art. By extracting application requirement parameters, quantifying and generating production standards, activating the production line after process design, constructing a process database and traversing and searching to optimize process control parameters, and through pre-production testing and feedback optimization, it realizes the precise control of the production process and achieves the technical effects of improving the quality and production efficiency of cable products. Description of the Drawings

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0012] Figure 1Schematic diagram of the structure of an automatic production control system for shielded cables provided by an embodiment of the present application;

[0013] Figure 2 Schematic diagram of the process of an automatic production control method for shielded cables provided by an embodiment of the present application.

[0014] Explanation of 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 implementation manners

[0015] By providing an automatic production control system and method for shielded cables, the present application aims to solve the technical problems of inaccurate production process control and unstable product quality in the prior art. By extracting application requirement parameters, quantifying and generating production standards, activating the production line after process design, constructing a process database and traversing and searching for optimized process control parameters, and through pre-production testing and feedback optimization, precise control of the production process is achieved, and the technical effects of improving the quality and production efficiency of cable products are achieved.

[0016] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0017] It should be noted that any variations of the terms "including" and "having" 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 clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0018] Embodiment 1, as Figure 1 shown, an embodiment of the present application provides an automatic production control system for shielded cables, and the system includes:

[0019] An element extraction module 11, which obtains the application scenario information of the target shielded cable, extracts elements from the application scenario information, and obtains cable application requirement element parameters.

[0020] In the embodiment of the present application, first, the application scenario information of the target shielded cable is obtained from a preset database, including the environment where the cable is used (such as temperature, humidity, etc.) and electrical requirements (such as voltage, frequency, etc.).

[0021] Next, perform element extraction on the application scenario information to obtain the cable application requirement element parameters. The cable application requirement element parameters include environmental attributes, physical attributes, electrical attributes, etc. For example, environmental attributes include the operating temperature range, humidity range, and ultraviolet resistance of the cable; physical attributes involve the tensile strength, bendability, flexibility, etc. of the cable; electrical attributes include the voltage level, transmission frequency, current type, etc. of the cable.

[0022] The design parameter determination module 12 quantifies the cable application requirement element parameters according to production standards, generates the production standards for shielded cable applications, and conducts cable process design based on the production standards for shielded cable applications to determine the cable production process design parameters.

[0023] In the embodiment of the present application, first classify the cable application requirement elements, such as environmental conditions, physical characteristics, electrical performance, etc., and extract the key performance indicators. Then, based on these performance indicators, quantify the cable application requirements into specific production standards to ensure that the cable design matches its actual application environment. Next, based on these production standards, compare the historical process design data with the corresponding production performance data, select the most suitable production process parameters through similarity analysis, and conduct difference analysis and optimization to finally determine the cable production process design parameters.

[0024] Furthermore, in the system provided by the embodiment of the application, the design parameter determination module 12 is further configured to:

[0025] Perform attribute classification on the cable application requirement element parameters to obtain the cable application requirement attributes. The cable application requirement attributes include environmental attributes, physical attributes, electrical attributes, and special performance; extract associated indicators respectively based on the cable application requirement attributes to construct a cable application attribute evaluation index set; conduct correlation analysis and index dimension reduction on each index information in the cable application attribute evaluation index set to obtain a cable key application performance index set; quantify the cable application requirement element parameters according to production standards based on the cable key application performance index set to generate the production standards for shielded cable applications.

[0026] In the embodiment of the present application, first perform attribute classification on the cable application requirement element parameters. Specifically, adopt a rule-driven automatic classification method to classify the cable application requirement elements into environmental attributes, physical attributes, electrical attributes, and special performance 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 performance includes fire resistance, ultraviolet resistance, etc.

[0027] Next, relevant index extraction is carried out based on the cable application requirement attributes respectively. Through the data screening method, important indexes related to each type of attribute are screened out from historical data and industry standards. For example, under the electrical attribute, voltage, current, and frequency are selected as key electrical indexes; under the physical attribute, tensile strength, flexibility, bendability, etc. are extracted as indexes, and these indexes are integrated to complete the construction of the cable application attribute evaluation index set.

[0028] Subsequently, correlation analysis and index dimensionality reduction are carried out on the index information in the cable application attribute evaluation index set. Through the Pearson correlation coefficient analysis method, the correlation between each pair of indexes is calculated to identify which indexes have a correlation higher than the preset threshold and which indexes are lower than the preset threshold. Next, principal component analysis is applied to perform dimensionality reduction on the indexes with a correlation higher than the preset threshold, and the most representative set of cable key application performance indexes is extracted. The preset threshold is set in advance by technical experts and can be set to 0.8.

[0029] After dimensionality reduction, standardization processing is performed on the set of cable key application performance indexes. Specifically, the design parameter determination module converts each performance index into a unified standard range through a normalization method, such as min-max normalization, so that different indexes are comparable in terms of numerical values. For example, indexes such as voltage, current, and tensile strength are uniformly converted into a standardized interval (such as between 0 and 1) to ensure that these indexes can be compared and comprehensively analyzed on the same quantization scale.

[0030] Finally, based on the standardized set of cable key application performance indexes, a production standard for shielded cable applications is generated.

[0031] Furthermore, in the system provided by the application embodiment, the design parameter determination module 12 is further configured to:

[0032] Mine and obtain a cable production design database, where the cable production design database includes historical cable production process design parameters and corresponding cable application production performance data; calculate the similarity between the shielded cable application production standard and each design data in the cable production design database to obtain a set of cable design parameter similarities; optimize the cable production design database according to the set of cable design parameter similarities to obtain matching production process design parameters; perform difference analysis and parameter optimization on the matching production process design parameters to determine the cable production process design parameters.

[0033] In the embodiments of the present application, first, a cable production design database is obtained through mining. This database contains a large amount of historical cable production process design parameters and corresponding cable application production performance data. To extract useful data, SQL queries are used to retrieve historical cable production parameters and corresponding cable application performance data (such as electrical performance, tensile strength, bendability, etc.) from the database. After extracting these historical data, preprocessing is performed, including data cleaning, missing value filling, and outlier handling. For example, if there are missing values in certain production parameters or performance data, they are filled by mean filling or interpolation methods, and outliers are removed through standard deviation or box plot analysis. The preprocessed data is standardized so that data with different units and scales can be effectively compared, facilitating subsequent analysis. Through this process, historical cable production process design parameters and corresponding cable application production performance data are obtained.

[0034] Next, similarity calculations are performed based on the shielded cable application production standards and each design data in the cable production design database. First, the cable application production standards are first transformed into a standardized vector form, which includes various indicators such as environmental requirements (such as temperature, humidity), physical properties (such as tensile strength, bendability), and electrical requirements (such as voltage, current). Then, the cosine similarity is used to calculate the similarity between the current production standards and the historical design data, and a cable design parameter similarity set is obtained through calculation.

[0035] After that, 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.

[0036] Finally, difference analysis and parameter optimization are performed on the matching production process design parameters. Specifically, first, according to the matching production process design parameters, the application production performance information of the cable is determined. Then, by calculating the difference between the cable production performance and the shielded cable application production standards, the cable production performance deviation parameters are obtained. To further optimize these differences, historical cable production process design parameters and corresponding production performance data are used for predictive fitting to construct a cable design performance prediction model. Finally, based on this prediction model, the cable production performance deviation parameters are compensated and optimized to determine the cable production process design parameters.

[0037] Furthermore, in the system provided by the application embodiments, the design parameter determination module 12 is further configured to:

[0038] Determine the cable application production performance information according to the matched production process design parameters; take the difference between the cable application production performance information and the shielded cable application production standard as the cable production performance deviation parameter; perform predictive fitting on the historical cable production process design parameters and the corresponding cable application production performance data to obtain a cable design performance prediction model; based on the cable design performance prediction model, compensate and optimize the cable production performance deviation parameter to determine the cable production process design parameters.

[0039] In the embodiment of the present application, first, according to the matched production process design parameters, extract the corresponding cable application production performance information from the cable production design database through the SQL query method, including historical production performance information related to electrical performance, tensile strength, bendability, etc.

[0040] Next, through the difference calculation method, compare the obtained cable application production performance information with the shielded cable application production standard, calculate the difference of each performance, and take it as the cable production performance deviation parameter. For example, if the actual tensile strength of the cable is 480N while the standard requirement is 500N, the deviation parameter is -20N, indicating that the performance does not meet the standard. Next, use the regression analysis method, such as linear regression or multiple regression, to fit the historical cable production process design parameters and their corresponding production performance data to construct a cable design performance prediction model. This model reveals the relationship between production parameters and cable application performance, so as to predict how the actual performance of the cable will be under given design parameters.

[0041] Based on the cable design performance prediction model, adopt an optimization algorithm, such as a genetic algorithm, to compensate and optimize the cable production performance deviation parameter. The optimization algorithm simulates the natural selection process, iteratively adjusts the production process design parameters, and gradually reduces the deviation between the cable performance and the production standard until the optimized design parameters that meet the standard are obtained. Finally, through the rule screening method, compare and confirm the optimized cable production process design parameters with the shielded cable application production standard to ensure that the optimized design parameters meet the standard requirements, so as to finally determine the cable production process design parameters.

[0042] A production line activation module 13, and the production line activation module 13 activates the cable production equipment production line according to the cable production process design parameters.

[0043] 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 the parameter setting is completed, the cable production equipment production line is activated and the equipment is started.

[0044] The process control parameter determination module 14 constructs a cable production process database through the cable production equipment line, traverses and searches for optimization within the cable production process database using the cable production process design parameters as constraint parameters, and outputs the cable production process control parameters.

[0045] 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 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 summarized to complete the construction of the cable production process database, which records the relationship between different process parameters and their corresponding production results.

[0046] Then, the cable production process design parameters are input into the database as constraint parameters. By traversing the cable production process database and matching it with the design parameters, parameter search and optimization are carried out to find the best combination of process control parameters, and finally the optimized cable production process control parameters are output.

[0047] Furthermore, in the system provided by the embodiment of the application, the process control parameter determination module 14 is further configured to:

[0048] Match and divide the cable production process design parameters as constraint parameters within the cable production process database to obtain a cable production process optimization database; perform parameter search within the cable production process optimization database according to the global search step size to obtain a global process control parameter set; extract and evaluate and fit indicators based on the cable production process database to construct a production control evaluation fitness function; use the production control evaluation fitness function to compare and optimize the global process control parameters to obtain the cable production process control parameters.

[0049] In the embodiment of the present application, first, the cable production process design parameters are used as constraint parameters and are matched and divided within the cable production process database. Specifically, by using a classification and matching algorithm, such as K-means clustering, historical data is divided into multiple subsets according to production conditions and results to form a cable production process optimization database.

[0050] Then, according to the preset global search step size, such as the particle velocity in the particle swarm optimization algorithm, parameter search is carried out within the cable production process optimization database. Through step-by-step search, multiple possible combinations of process parameters are found in the database to form a global process control parameter set.

[0051] After obtaining the global process control parameter set, the process control parameter determination module further extracts and evaluates and fits indicators based on the cable production process database to construct a production control evaluation fitness function. Specifically, first, key process parameters (such as temperature, pressure, drawing 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 the cable performance as core indicators to support the evaluation and fitting. Then, feature selection is carried out to optimize these preliminary indicators and further remove unimportant features. By using the variance threshold method to calculate the variance of each parameter, parameters with a greater impact on production performance are screened out, and parameters with a variance lower than the set threshold are removed. Through this process, process parameters with a significant impact on production results are retained, thus obtaining an optimized set of key process parameters to provide accurate data for the construction of the fitness function.

[0052] Based on the screened key process parameters, a fitness function model is constructed using the multiple regression analysis method. The form of this fitness function is , where Y represents the cable production performance (such as tensile strength, flexibility, etc.), , ,..., are different production process parameters (such as temperature, drawing speed, etc.), , ,..., are regression coefficients obtained by fitting historical data.

[0053] Subsequently, the fitness function is used to evaluate the global process control parameter set to determine the optimal control parameters. In this process, the greedy algorithm is adopted, and the process parameters are gradually updated through iteration to gradually approach the optimal solution, thus 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 production standards for shielded cable applications, and finally the cable production process control parameters are obtained.

[0054] Furthermore, in the system provided by the application embodiment, the process control parameter determination module 14 is further used for:

[0055] Use 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; based on the global control parameter fitness set, perform gradient ascent calculation on the global process control parameter set to determine a local direction control parameter set; perform iterative search evaluation and gradient calculation comparison on the local direction control parameter set until a preset number of iterations is reached to obtain a target direction control parameter set; based on the target direction control parameter set, perform global comparison and optimization to obtain the cable production process control parameters.

[0056] In the embodiment of the present application, first use the production control evaluation fitness function to perform fitness evaluation on the global process control parameter set to measure their impact on production performance, and finally obtain a global control parameter fitness set, which contains the fitness values of each parameter combination.

[0057] Subsequently, based on the global control parameter fitness set, further perform gradient ascent calculation on the global process control parameter set to determine a 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 increase the fitness value. After this process, a local direction control parameter set is obtained, that is, the parameter combination further optimized on the basis of the global parameter set.

[0058] Next, perform iterative search evaluation and gradient calculation comparison on the local direction control parameter set. In each iteration, first evaluate the fitness value of the current parameter set, and then adjust the parameter combination by calculating the gradient of the fitness function to gradually increase the fitness value. This process continuously updates the local direction control parameter set to converge it to the optimal solution. The iteration continues until the preset number of iterations is reached, and finally a target direction control parameter set is obtained, which represents the optimal process control parameter combination under local optimization conditions.

[0059] After determining the target direction control parameter set, the module performs global comparison and optimization to finally obtain the cable production process control parameters. In this step, compare the target direction control parameter set with the global parameter set, and further optimize the parameter combination through screening and optimization strategies. First, perform a global comparison to screen out those parameter combinations that also have high fitness under global conditions. Then, fine-tune these excellent parameter combinations to ensure that the fitness value is maximized. Finally, select the parameter combination with the highest fitness value among all candidate parameters and determine it as the cable production process control parameters.

[0060] The production optimization control module 15 pre - produces and tests 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.

[0061] In the embodiment of the present application, first, a pre - production test is performed on the target shielded cable 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, and trial production is started. During the pre - production process, the production equipment collects various feedback data during the cable production process in real - time through sensors and data acquisition systems. These cable production feedback parameters include information such as the actual production temperature, pressure, speed, and preliminary cable performance (such as tensile strength, electrical performance, etc.).

[0062] Next, the feedback parameters are compared with the cable application production standard to identify process deviations and obtain the 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 cable production process control parameters are fine - tuned and optimized according to these rules. The production conditions are gradually adjusted to make the production results closer to the standard requirements. Through this closed - loop feedback method, the cable production process control is continuously optimized until all process indicators reach the predetermined standard, and finally, the cable production optimization control is completed.

[0063] Furthermore, in the system provided by the embodiment of the application, the production optimization control module 15 is further configured to:

[0064] Perform process improvement analysis on the cable production feedback parameters according to the shielded cable application production standard to obtain the cable process performance parameters to be improved; perform production process optimization analysis on the cable process performance parameters to be improved to determine the fine - tuning variation rules of the control parameters; perform variation fine - tuning optimization on the cable production process control parameters based on the fine - tuning variation rules of the control parameters to obtain the cable production process optimization control parameters, and perform cable production optimization control through the cable production process optimization control parameters.

[0065] In the embodiment of the present application, first, based on the shielded cable application production standard, process improvement analysis is performed on the production feedback parameters. Specifically, the difference calculation and standard comparison method are used to compare the actual production feedback parameters such as temperature, pressure, speed, and tensile strength with the production standard item by item, and calculate the deviation of each parameter. For example, if the production standard requires a temperature of 180°C and the actual feedback temperature is 170°C, the temperature deviation is - 10°C. Through this difference calculation, all parameters that do not meet the production standard are identified and integrated to obtain the cable process performance parameters to be improved.

[0066] Next, perform production process optimization analysis on the process performance parameters to be improved to determine the specific fine-tuning variation rules for control parameters. During this process, directly perform data mining 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 past similar conditions. Through association rule mining, identify the influence patterns of process parameters on production performance. For example, if historical data shows that increasing the temperature will increase the tensile strength, the module will directly generate a fine-tuning variation rule of increasing the heating power by 5% each time; if it is found that reducing the drawing speed can improve the tensile strength, a rule of reducing the drawing speed by 1% each time will be generated.

[0067] After obtaining the fine-tuning variation rules, perform variation fine-tuning optimization on the cable production process control parameters. Adopt progressive adjustment and closed-loop feedback control, gradually adjust the process control parameters according to the variation rules, and collect new feedback parameters in real time after each adjustment. Specifically, first make small adjustments to one or more process parameters according to the fine-tuning rules (such as increasing the temperature or reducing the drawing speed); then collect the adjusted feedback data in real time through sensors, such as the latest values of temperature, speed, and tensile strength. Next, compare the new feedback parameters with the production standards again to calculate the new deviation value. By comparing the new and old deviations, judge whether the adjustment direction is correct. If the new deviation value shrinks, it indicates that the adjustment direction is correct, and continue to adjust in this direction; if the deviation increases, adjust the process parameters in the reverse direction. Through repeated adjustments and real-time feedback comparisons, gradually reduce the deviation, and finally obtain the cable production process control parameters that meet the production standards.

[0068] Finally, input the obtained optimized control parameters of the cable production process into the production equipment to complete the optimized control of cable production.

[0069] In the embodiments of the present application, in summary, the embodiments of the present application at least have the following technical effects:

[0070] This application obtains the application scenario information of the target shielded cable, extracts the elements of the application scenario information to obtain the cable application requirement element parameters; quantifies the cable application requirement element parameters to generate the shielded cable application production standard, and conducts cable process design based on the shielded cable application production standard to determine the cable production process design parameters; activates the cable production equipment production line according to the cable production process design parameters; constructs a cable production process database through the cable production equipment production line, performs traversal search optimization in the cable production process database with the cable production process design parameters as the constraint parameters, and outputs the cable production process control parameters; conducts pre-production testing on the target shielded cable based on the cable production process control parameters to obtain the cable production feedback parameters, and performs cable production optimization control 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. By extracting application requirement parameters, quantifying and generating production standards, activating the production line after process design, constructing a process database and traversing search to optimize process control parameters, and through pre-production testing and feedback optimization, precise control of the production process is achieved, and the technical effects of improving the quality and production efficiency of cable products are achieved.

[0071] Embodiment 2. Based on the same inventive concept as the automated production control system for a shielded cable in the foregoing embodiment, as Figure 2 shown, an embodiment of the present application provides an automated production control method for a shielded cable, and the method includes:

[0072] Obtain the application scenario information of the target shielded cable, extract the elements of the application scenario information to obtain the cable application requirement element parameters; quantify the cable application requirement element parameters to generate the shielded cable application production standard, and conduct cable process design based on the shielded cable application production standard to determine the 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, perform traversal search optimization in the cable production process database with the cable production process design parameters as the constraint parameters, and output the cable production process control parameters; conduct pre-production testing on the target shielded cable based on the cable production process control parameters to obtain the cable production feedback parameters, and perform cable production optimization control through the cable production feedback parameters.

[0073] Further, for the generation of the shielded cable application production standard, the method further includes:

[0074] Classify the attribute of the cable application requirement element parameters to obtain the cable application requirement attributes, where the cable application requirement attributes include environmental attributes, physical attributes, electrical attributes, and special performance; extract relevant indicators based on the cable application requirement attributes respectively to construct a cable application attribute evaluation index set; perform correlation analysis and index dimensionality reduction on the index information in the cable application attribute evaluation index set to obtain a cable key application performance index set; quantify the production standards for the cable application requirement element parameters based on the cable key application performance index set to generate the production standard for the shielded cable application.

[0075] Further, for determining the cable production process design parameters, the method further includes:

[0076] Mine and obtain a cable production design database, where the cable production design database includes historical cable production process design parameters and corresponding cable application production performance data; calculate the similarity between the production standard of the shielded cable application and each design data in the cable production design database to obtain a cable design parameter similarity set; select the cable production design database according to the cable design parameter similarity set to obtain matching production process design parameters; perform difference analysis and parameter optimization on the matching production process design parameters to determine the cable production process design parameters.

[0077] Further, for determining the cable production process design parameters, the method further includes:

[0078] Determine the cable application production performance information according to the matching production process design parameters; use the difference between the cable application production performance information and the production standard of the shielded cable application as the cable production performance deviation parameter; perform prediction fitting on the historical cable production process design parameters and the corresponding cable application production performance data to obtain a cable design performance prediction model; compensate and optimize the cable production performance deviation parameter based on the cable design performance prediction model to determine the cable production process design parameters.

[0079] Further, for outputting the cable production process control parameters, the method further includes:

[0080] Use the cable production process design parameters as constraint parameters to perform matching 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 size to obtain a global process control parameter set; extract indicators and perform evaluation fitting based on the cable production process database to construct a production control evaluation fitness function; use the production control evaluation fitness function to compare and optimize the global process control parameter set to obtain the cable production process control parameters.

[0081] Further, for obtaining the control parameters of the cable production process, the method further includes:

[0082] Evaluating the fitness of the global process control parameter set by using the production control evaluation fitness function to obtain a global control parameter fitness set; performing 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 direction control parameter set until a preset number of iterations is reached to obtain a target direction control parameter set; performing global comparison and optimization based on the target direction control parameter set to obtain the control parameters of the cable production process.

[0083] Further, for performing cable production optimization control through the cable production feedback parameters, the method further includes:

[0084] Performing process improvement analysis on the cable production feedback parameters according to the production standard of the shielded cable 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 to determine the control parameter fine-tuning mutation rule; performing mutation fine-tuning optimization on the control parameters of the cable production process based on the control parameter fine-tuning mutation rule to obtain the optimized control parameters of the cable production process, and performing cable production optimization control through the optimized control parameters of the cable production process.

[0085] It should be noted that the above sequence of embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above specific embodiments of this specification have been described. The processes depicted in the 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.

[0086] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

[0087] This specification and the drawings are only exemplary descriptions of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications 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 equivalent technologies, the present application is intended to include these changes and modifications.

Claims

1. An automatic production control system for shielded cables, characterized in that, The system includes: An element extraction module, which obtains the 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, which quantifies the cable application requirement element parameters according to production standards, generates a production standard for shielded cable applications, and conducts cable process design based on the production standard for shielded cable applications to determine cable production process design parameters; A production line activation module, which activates the cable production equipment production line according to the cable production process design parameters; A process control parameter determination module, which constructs a cable production process database through the cable production equipment production line, traverses and searches for optimization within the cable production process database with the cable production process design parameters as constraint parameters, and outputs cable production process control parameters; A production optimization control module, which conducts pre-production testing on the target shielded cable based on the cable production process control parameters, obtains cable production feedback parameters, and conducts cable production optimization control through the cable production feedback parameters; The determination of the cable production process design parameters includes: Mining and obtaining a cable production design database, which includes historical cable production process design parameters and corresponding cable application production performance data; Calculating the similarity between the production standard for shielded cable applications and each design data in the cable production design database to obtain a cable design parameter similarity set; Selecting the cable production design database according to the cable design parameter similarity set to obtain matching production process design parameters; Conducting difference analysis and parameter optimization on the matching production process design parameters to determine the cable production process design parameters; The determination of the cable production process design parameters includes: Determining cable application production performance information according to the matching production process design parameters; Taking the difference between the cable application production performance information and the production standard for shielded cable applications as a cable production performance deviation parameter; Performing predictive fitting on the historical cable production process design parameters and the corresponding cable application production performance data to obtain a cable design performance prediction model; Compensating and optimizing the cable production performance deviation parameter based on the cable design performance prediction model to determine the cable production process design parameters.

2. The automatic production control system of a shielded cable according to claim 1, characterized in that, The generation of the production standard for shielded cable applications includes: Classifying the attributes of the cable application requirement element parameters to obtain cable application requirement attributes, where the cable application requirement attributes include environmental attributes, physical attributes, electrical attributes, and special performance; Extracting associated indicators respectively based on the cable application requirement attributes to construct a cable application attribute evaluation index set; Conducting correlation analysis and index dimensionality reduction on each index information in the cable application attribute evaluation index set to obtain a set of key cable application performance indicators; Quantify the production standards of the cable application requirement element parameters based on the set of key application performance indicators of the cable, and generate the production standard of the shielded cable application.

3. The automated production control system for a shielded cable as described in claim 1, wherein, The output cable production process control parameters include: Use the cable production process design parameters as constraint parameters to perform matching and partitioning in the cable production process database to obtain an optimized cable production process database; Perform parameter search in the optimized cable production process database according to the global search step to obtain a global process control parameter set; Extract indicators and perform evaluation fitting based on the cable production process database to construct a production control evaluation fitness function; Use the production control evaluation fitness function to compare and optimize the global process control parameter set to obtain the cable production process control parameters.

4. The automatic production control system of a shielded cable according to claim 3, wherein Obtaining the cable production process control parameters includes: Use the production control evaluation fitness function to evaluate the fitness of the global process control parameter set to obtain a global control parameter fitness set; Perform 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; Perform iterative search evaluation and gradient calculation comparison on the local direction control parameter set until the preset number of iterations to obtain a target direction control parameter set; Perform global comparison and optimization based on the target direction control parameter set to obtain the cable production process control parameters.

5. The automated production control system of a shielded cable as described in claim 1, characterized in that, The cable production optimization control through the cable production feedback parameters includes: Perform process improvement analysis on the cable production feedback parameters according to the production standard of the shielded cable application to obtain the cable process performance parameters to be improved; Perform production process optimization analysis on the cable process performance parameters to be improved to determine the control parameter fine-tuning mutation rule; Perform mutation fine-tuning optimization on the cable production process control parameters based on the control parameter fine-tuning mutation rule to obtain optimized cable production process control parameters, and perform cable production optimization control through the optimized cable production process control parameters.

6. An automated production control method for shielded cables, characterized in that, The method is executed by an automated production control system for a shielded cable according to any one of claims 1 to 5, and includes: Obtain the application scenario information of the target shielded cable, extract elements from the application scenario information to obtain cable application requirement element parameters; Quantify the production standards of the cable application requirement element parameters to generate the production standard of the shielded cable application, and perform cable process design based on the production standard of the shielded cable application to determine the 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 perform traversal search and optimization in the cable production process database, and output the 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; The design parameter determination module is further configured to: Mine and obtain a cable production design database, where the cable production design database includes historical cable production process design parameters and corresponding cable application production performance data; calculate the similarity between the shielded cable application production standard and each design data in the cable production design database to obtain a cable design parameter similarity set; optimize the cable production design database according to the cable design parameter similarity set to obtain matching production process design parameters; perform difference analysis and parameter optimization on the matching production process design parameters to determine the cable production process design parameters. Determine cable application production performance information according to the matching production process design parameters; use the difference between the cable application production performance information and the shielded cable application production standard as the cable production performance deviation parameter; perform predictive fitting on the historical cable production process design parameters and the corresponding cable application production performance data to obtain a cable design performance prediction model; perform compensation optimization on the cable production performance deviation parameter based on the cable design performance prediction model to determine the cable production process design parameters.

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