Cable production management method and system, equipment and storage medium

Abstract

The invention provides a cable production management method and system, equipment and a storage medium, and belongs to the technical field of production management, and the method comprises the steps: obtaining the cable model of a target cable, and carrying out the matching from a cable type classification table based on the cable model to obtain the cable type of the target cable; if the cable type of the target cable belongs to one type of cables, initial cable production parameters are determined based on the cable type of the target cable and a production parameter look-up table; adjusting the initial cable production parameters based on the cable production raw material data and the production environment data of the target cable to obtain target cable production parameters; the production parameter lookup table comprises a one-to-one correspondence relationship between cable models and cable production parameters; and if the cable type of the target cable belongs to the second-type cable, determining cable production parameters based on the cable type of the target cable and the production parameter look-up table. The management efficiency of the production parameters in the cable production management process can be improved, and the stability of the quality of the finished cable is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of production management, and more particularly relates to a cable production management method and system, equipment and a storage medium. BACKGROUND

[0002] Cable production is a complex process including extrusion, cooling, traction and cabling, and the quality of finished products is highly dependent on the accurate control of production parameters in each link. Different cable models have significant differences in the adaptability of production parameters due to differences in structure and performance requirements.

[0003] In the prior art, the management of cable production parameters mostly adopts a unified mode, such as setting parameters based on operator experience, which lacks flexibility. However, in actual production, different cables have different characteristics, and the quality of the produced cables is uneven due to environmental influences, resulting in unstable or substandard finished product quality.

[0004] Therefore, the existing cable production management method cannot achieve differentiated and accurate control of parameters according to the characteristics of different cable models, and there is a problem of difficulty in balancing quality stability and production efficiency. SUMMARY

[0005] The purpose of the present application is to provide a cable production management method and system, equipment and a storage medium to improve the management efficiency of production parameters in the cable production management process, thereby improving the stability of the quality of finished cable products.

[0006] The first aspect of the embodiment of the present application provides a cable production management method, comprising: obtaining a cable model of a target cable, and matching a cable type of the target cable from a cable type classification table based on the cable model; the target cable is a cable to be produced, and the cable type classification table includes a one-to-one correspondence relationship between the cable model and the cable type; if the cable type of the target cable belongs to a first type of cable, determining initial cable production parameters based on the cable model of the target cable and a production parameter query table; adjusting the initial cable production parameters based on cable production raw material data and production environment data of the target cable to obtain target cable production parameters; the production parameter query table includes a one-to-one correspondence relationship between the cable model and the cable production parameters; if the cable type of the target cable belongs to a second type of cable, determining initial cable production parameters based on the cable model of the target cable and the production parameter query table as the target cable production parameters; the environmental sensitivity coefficient of the first type of cable is greater than that of the second type of cable, and the raw material data fluctuation coefficient of the first type of cable is greater than that of the second type of cable.

[0007] The second aspect of the embodiment of the present application provides a cable production management system, comprising: a cable classification module configured to obtain a cable model of a target cable, and match a cable type of the target cable from a cable type classification table based on the cable model, the target cable being a cable to be produced, and the cable type classification table including a one-to-one correspondence between the cable model and the cable type; a first cable management module configured to, if the cable type of the target cable belongs to a first type of cable, determine initial cable production parameters based on the cable model of the target cable and a production parameter query table, and adjust the initial cable production parameters based on cable production material data and production environment data of the target cable to obtain target cable production parameters, the production parameter query table including a one-to-one correspondence between the cable model and the cable production parameters; a second cable management module configured to, if the cable type of the target cable belongs to a second type of cable, determine initial cable production parameters based on the cable model of the target cable and the production parameter query table, and use the initial cable production parameters as the target cable production parameters, the first type of cable having a larger environmental sensitivity coefficient and a larger material data fluctuation coefficient than the second type of cable.

[0008] In a third aspect, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the cable production management method when executing the computer program.

[0009] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program implements the steps of the cable production management method when executed by a processor.

[0010] The cable production management method and system, device, and storage medium provided by the embodiments of the present application have the following advantages: The embodiments of the present application divide cable models into the first type of cable and the second type of cable and implement differentiated production parameter management, which can balance production quality stability and management efficiency. For the first type of cable, after determining the initial parameters based on the model, the parameters are further adjusted in combination with the material data and the environment data, so that the parameters can adapt to the fluctuation of material characteristics and the change of the environment, and avoid quality defects (such as substandard insulation layer performance) caused by material or environmental fluctuations, thereby significantly improving the finished product qualification rate of the cable. For the second type of cable, the parameters are directly called based on the model, which saves the redundant adjustment link, reduces the time cost and operation complexity of parameter setting, improves the production preparation efficiency, and reduces the management resource consumption.

[0011] The classification management logic of the embodiment of the present application not only realizes accurate parameter adaptation for cable models sensitive to raw materials and environment, but also simplifies the process for cable models with strong tolerance, solving the problem that quality stability and production efficiency are difficult to balance under the unified parameter management mode. BRIEF DESCRIPTION OF DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0013] Figure 1 A flowchart of a cable production management method provided by an embodiment of the present application is shown in FIG. 1. Figure 2 A structural block diagram of a cable production management system provided by an embodiment of the present application is shown in FIG. 2. Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 3. DETAILED DESCRIPTION

[0014] In the following description, specific details such as specific system structures, techniques, etc. are presented in order to thoroughly understand the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits and methods are omitted to avoid unnecessary details that hinder the description of the present application.

[0015] In order to make the purpose, technical solutions and advantages of the present application clearer, the following will be described by specific embodiments with reference to the drawings.

[0016] Reference Figure 1 , Figure 1 A flowchart of a cable production management method provided by an embodiment of the present application is shown in FIG. 1. The method can be executed by an electronic device, and specifically, the method can include S101-S103.

[0017] S101: Obtain the cable model of a target cable, and match the cable type of the target cable from a cable type classification table based on the cable model; the target cable is a cable to be produced, and the cable type classification table includes a one-to-one correspondence between the cable model and the cable type.

[0018] In the embodiment, the target cable refers to a cable product to be produced. The cable model is a combination of characters used to uniquely identify a type of cable product, which can be classified according to attributes such as conductor material, insulation type, voltage level, and core number. The cable type classification table is a data table storing the correspondence between cable models and cable types. The cable type is a category classified according to cable characteristics, such as raw material sensitivity and environmental sensitivity. The one-to-one correspondence means that each cable model corresponds to only one cable type, ensuring the certainty of classification.

[0019] In the embodiment, the cable model of the cable to be produced is associated with the type through the pre-established cable type classification table, and the corresponding cable type is directly obtained through model retrieval before production. The consideration behind the embodiment is that different models of cables have different structural material performance requirements and production management needs, and the pre-established correspondence between the model and the type can quickly determine the management strategy during production preparation, avoid low efficiency caused by complex model analysis, and ensure the consistency of subsequent production parameter management through standardized classification.

[0020] For example, the specific implementation process of obtaining the cable type of the target cable based on the cable model from the cable type classification table can include: (1) The embodiment can pre-construct a cable type classification table. Specifically, the embodiment can obtain all historical and planned production cable models of the factory through the cable production management system, determine the cable type to which each cable model belongs by analyzing the production characteristics corresponding to each model, and then establish a one-to-one correspondence between the cable model and the cable type. The embodiment can record this correspondence in the database of the production management system to form a structured cable type classification table, which is regularly maintained according to the addition of new cable models or the update of type classification standards.

[0021] (2) The embodiment can obtain the cable model of the target cable. Specifically, when a production task is generated, the target cable is the cable to be produced, and the embodiment can automatically obtain the cable model of the target cable from the cable production management system. If automatic acquisition fails, the operator inputs the cable model of the target cable on the operation interface of the cable production management system.

[0022] (3) The embodiment can match the cable type based on the cable model. Specifically, the embodiment can call the cable type classification table in the database, use the obtained cable model of the target cable as the retrieval keyword, and retrieve in the cable type classification table. The cable type of the target cable is extracted from the record corresponding to the cable model through accurate matching. Finally, the embodiment uses the matched cable type of the target cable as the basis for determining the production parameter management strategy.

[0023] S102: If the cable type of the target cable belongs to a type of cable, determine initial cable production parameters based on the cable model of the target cable and a production parameter query table; adjust the initial cable production parameters based on cable production material data and production environment data of the target cable to obtain target cable production parameters; the production parameter query table includes a one-to-one correspondence between the cable model and the cable production parameters.

[0024] In this embodiment, the execution order between S103 and S102 is not limited, S102 can be executed first and then S103, or S103 can be executed first and then S102.

[0025] In this embodiment, the type of cable refers to a category of cable sensitive to fluctuations in material properties and changes in production environment. The production parameter query table is a data table storing the correspondence between the cable model and the production parameters, which is used to quickly retrieve the reference production parameters of the corresponding cable. The initial cable production parameters are the production parameters preliminarily determined based on the cable model, which can include, for example, extrusion temperature, pulling speed, and cooling water temperature. The cable production material data is the characteristic data of the material used in production, which can include, for example, copper hardness, insulation material melt index, etc. The production environment data is the environmental characteristic data of the production site, which can include, for example, workshop temperature, humidity, and dust concentration, etc. The target cable production parameters are the final parameters used in actual production after adjustment. The one-to-one correspondence means that each cable model corresponds to a set of production parameters, which is used to ensure the determinacy of parameter calling.

[0026] In this embodiment, the initial cable production parameters are first determined based on the cable model of the type of cable and the production parameter query table, and then the initial cable production parameters are adjusted in combination with the cable production material data and the production environment data of the target cable to obtain the target cable production parameters. The consideration behind this embodiment is that the type of cable has higher sensitivity to fluctuations in material properties and changes in production environment due to its own structure, material or performance requirements, and it is difficult to ensure production quality relying on fixed parameters only. The production parameter query table provided in this embodiment can provide uniform reference initial parameters, ensure that parameter setting has a standard basis, and improve parameter management efficiency; at the same time, in order to improve the finished product quality stability and the qualified rate of the type of cable, this embodiment adjusts the initial cable production parameters in combination with real-time material data and environment data, which can make the parameters adapt to the actual production conditions, avoid quality defects caused by fluctuations, and at the same time improve the precision of production control through standardized processes.

[0027] For example, if the cable type of the target cable belongs to a type of cable, the specific implementation process of determining the target cable production parameters can include: (1) This embodiment can pre-construct a production parameter query table. Specifically, this embodiment can obtain the cable models of all cables in the factory through the cable production management system, analyze the historical qualified production data of each model, determine the initial cable production parameters corresponding to each cable model based on the corresponding production parameters when the finished product qualification rate is high, and establish a one-to-one correspondence between the cable model and the initial parameters. This embodiment can form a structured production parameter query table based on this correspondence, and regularly update and maintain it according to newly added cable models or production experience.

[0028] (2) This embodiment can determine the initial cable production parameters based on the cable model and the production parameter query table. Specifically, when a production task for a target cable is generated, this embodiment can obtain the cable model of the target cable through the cable production management system, then call the production parameter query table in the database, and use the model as the retrieval basis to extract the corresponding initial cable production parameters.

[0029] (3) This embodiment can determine the cable type of the target cable by the cable model. If the target cable is a Class I cable, the cable production raw material data and production environment data of the target cable are collected. Specifically, this embodiment can obtain cable production raw material data, such as copper resistivity and insulation material density, through raw material testing equipment; and collect production environment data, such as real-time temperature and humidity, through sensors deployed in the workshop.

[0030] (4) This embodiment can adjust the initial cable production parameters based on the collected data to obtain target cable production parameters. Specifically, this embodiment can use the cable production management system to correlate and analyze the initial parameters with raw material data and environmental data, and optimize the initial parameters according to preset adjustment rules. For example, the extrusion temperature can be adjusted according to the insulation material melt index deviation, and the cooling water temperature can be adjusted according to the workshop temperature deviation. Ultimately, the target cable production parameters are obtained as the basis for actual production execution.

[0031] S103: If the cable type of the target cable belongs to Class II cable, the initial cable production parameters are determined based on the cable model and production parameter query table of the target cable as the target cable production parameters; the environmental sensitivity coefficient of Class I cable is greater than the environmental sensitivity coefficient of Class II cable, and the raw material data fluctuation coefficient of Class I cable is greater than the raw material data fluctuation coefficient of Class II cable.

[0032] In this embodiment, cable production parameters are directly determined by querying a table based on the cable model and production parameters of Category II cables. The consideration behind this embodiment is that Category II cables are less sensitive to fluctuations in raw materials and the environment, eliminating the need for complex adjustments. Directly calling parameters can simplify the process and thus improve production efficiency.

[0033] For example, if the cable type of the target cable belongs to the second type of cable, the specific implementation process of determining the cable production parameter can include: (1) The embodiment can pre-construct a production parameter query table. Specifically, the embodiment can collect all cable models of the second type of cable through the cable production management system, determine the corresponding cable production parameters of each model based on historical stable production data, establish the correspondence between the model and the parameter, and input the system database to form a structured table.

[0034] (2) The embodiment can determine the cable production parameter based on the cable model of the target cable (second type of cable) and the query table. Specifically, the embodiment can call the production parameter query table, use the cable model of the target cable as the retrieval basis, match the corresponding cable production parameter, and use the cable production parameter as the production execution basis.

[0035] From the above, it can be concluded that the embodiment of the present application can balance production quality stability and management efficiency by classifying cable models into the first type of cable and the second type of cable and implementing differentiated production parameter management. For the first type of cable, after determining the initial parameter based on the model, further adjustment is made in combination with the raw material data and the environmental data, so that the parameter can adapt to the fluctuation of raw material characteristics and environmental changes, avoiding quality defects (such as substandard insulation layer performance) caused by fluctuations in raw materials or environment, and significantly improving the finished product qualification rate of this type of cable; for the second type of cable, the parameter is directly called based on the model, which saves the redundant adjustment link, reduces the time cost and operation complexity of parameter setting, improves the production preparation efficiency, and reduces the management resource consumption.

[0036] The classification control logic of the embodiment of the present application not only realizes accurate parameter adaptation for cable models sensitive to raw materials and environment, but also simplifies the process for cable models with strong tolerance, solving the problem that quality stability and production efficiency are difficult to balance under the unified parameter management mode.

[0037] In an embodiment of the present application, before obtaining the cable model of the target cable, it further includes: obtaining the cable models of all historical production cables; determining the cable types corresponding to each cable model, and constructing a cable type classification table based on the cable models of all historical production cables and the cable types corresponding to each cable model; Among them, for each cable model of the historical production cable, the determination method of the cable type corresponding to the cable model includes: determining the raw material data fluctuation coefficient and the environmental sensitivity coefficient corresponding to the cable model based on the historical production data corresponding to the cable model; if the raw material data fluctuation coefficient is greater than the first fluctuation coefficient threshold, or the environmental sensitivity coefficient is greater than the first environmental sensitivity coefficient threshold, then the cable type corresponding to the cable model is determined as the first type of cable; If the raw material data fluctuation coefficient is less than or equal to the first fluctuation coefficient threshold value, and the environmental sensitivity coefficient is less than or equal to the first environmental sensitivity coefficient threshold value, it is determined that the cable type corresponding to the cable model is a second type of cable.

[0038] In the embodiment, the historical production data of the cable model includes first cable production data corresponding to each of a plurality of historical production batches; the first cable production data includes historical cable production raw material data; the historical cable production raw material data includes historical conductor raw material data, historical insulation raw material data, historical shielding raw material data, and historical sheath raw material data; and the raw material data fluctuation coefficient of the cable model is determined based on the historical production data of the cable model, including: calculating the raw material data fluctuation coefficient of the cable model based on the historical conductor raw material data, the historical insulation raw material data, the historical shielding raw material data, and the historical sheath raw material data corresponding to each of the plurality of historical production batches of the cable model.

[0039] In the embodiment, the historical production cable refers to a cable product that has been produced in the past. The historical production data refers to relevant data generated during the production of the historical production cable. The plurality of historical production batches refers to a plurality of production units divided according to production time periods or batches of the historical production cable. The first cable production data refers to a set of production data corresponding to one historical production batch. The historical conductor raw material data refers to characteristic data of the conductor raw material in the historical production, which may include, for example, copper rod resistivity, aluminum rod hardness, etc. The historical insulation raw material data refers to characteristic data of the insulation raw material in the historical production, which may include, for example, XLPE pellet melt index, PVC density, etc. The historical shielding raw material data refers to characteristic data of the shielding raw material in the historical production, which may include, for example, semi-conductive tape volume resistivity, etc. The historical sheath raw material data refers to characteristic data of the sheath raw material in the historical production, which may include, for example, PE material tensile strength, etc. The raw material data fluctuation coefficient refers to an index representing the fluctuation degree of the raw material characteristics of the cable model. The first fluctuation coefficient threshold value refers to a critical value for determining whether the raw material data fluctuation is significant. The first environmental sensitivity coefficient threshold value refers to a critical value for determining whether the environmental sensitivity is significant.

[0040] In this embodiment, the cable type classification table is constructed by obtaining all historical cable production cable models, calculating the raw material data fluctuation coefficient and the environmental sensitivity coefficient of each cable model based on its historical production data, comparing the coefficients with the corresponding threshold values, and dividing them into one type of cable or two types of cable. The consideration behind this embodiment is that different cable models have different sensitivities to raw material characteristics fluctuations and environmental changes due to differences in raw material composition, structural design, etc. This embodiment can objectively distinguish the sensitive characteristics by quantifying the raw material data fluctuation coefficient and the environmental sensitivity coefficient. By dividing the cable types through the first fluctuation coefficient threshold and the first environmental sensitivity coefficient threshold, this embodiment can clearly determine which cable models need fine parameter adjustment (one type of cable) and which cable models can simplify management (two types of cable). The construction of the cable type classification table in this embodiment can provide a unified basis for subsequent production parameter management, avoid improper control caused by subjective judgment, and balance quality stability and production efficiency.

[0041] For example, the specific implementation process of constructing the cable type classification table can include: (1) This embodiment can obtain all historical cable production cable models. Specifically, this embodiment can obtain all cable models produced by the factory in the past through the cable production management system to form a historical model list, ensuring that there is no omission.

[0042] (2) This embodiment can obtain the historical production data of each historical cable production cable model through the cable production management system. Specifically, this embodiment can retrieve the first cable production data corresponding to each historical production batch of each cable model in the historical model list from the database of the cable production management system, focusing on extracting historical conductor raw material data, historical insulation raw material data, historical shielding raw material data, and historical sheath raw material data such as copper material hardness, insulation material melt index, etc., and organizing and archiving them by batch.

[0043] (3) This embodiment can calculate the raw material data fluctuation coefficient of the cable model based on the historical raw material data. Specifically, this embodiment can integrate the conductor, insulation, shielding, and sheath raw material data of all historical production batches for each model, calculate the fluctuation degree of each type of raw material characteristics through statistical analysis, and comprehensively obtain the raw material data fluctuation coefficient of the model. The environmental sensitivity coefficient calculation process is the same.

[0044] (4) This embodiment can determine the cable type based on the size comparison result of the coefficients and the threshold values. Specifically, this embodiment can compare the calculated raw material data fluctuation coefficient with the first fluctuation coefficient threshold and the environmental sensitivity coefficient with the first environmental sensitivity coefficient threshold: if the raw material data fluctuation coefficient exceeds the threshold or the environmental sensitivity coefficient exceeds the threshold, it is determined as one type of cable; if neither exceeds the threshold, it is determined as two types of cable.

[0045] (5) The embodiment can construct a cable type classification table. Specifically, the embodiment can associate all historical cable production cable models with corresponding determined cable types one by one, enter the production management system database, form a structured cable type classification table, and regularly update and maintain according to new historical production data.

[0046] The embodiment objectively divides the cable type by quantitatively calculating the raw material data fluctuation coefficient and the environmental sensitivity coefficient based on historical production data, avoiding the deviation of relying on experience and subjective judgment, and making the corresponding relationship between the cable model and the type more accurate. The embodiment clearly indicates that one type of cable needs fine parameter adjustment, and the other type of cable can be simplified for management, realizing differentiated management and control, which can ensure the quality stability for sensitive models, simplify the process for strong tolerance models, and improve production efficiency. The cable type classification table constructed by the embodiment provides a unified standard for subsequent production parameter management, ensures the consistency and standardization of management strategies, reduces quality problems or efficiency loss caused by improper management, and balances production quality and management economy.

[0047] In an embodiment of the present application, the historical production data of the cable model includes second cable production data corresponding to each of a plurality of historical production batches; the second cable production data includes historical cable production raw material data, historical cable production parameter data, historical cable quality evaluation data, and historical production environment data; the environmental sensitivity coefficient of the cable model is determined based on the historical production data of the cable model, including: The historical production data of the cable model is divided into a plurality of historical data subsets based on the historical cable quality evaluation data; each historical data subset includes second cable production data corresponding to at least one historical production batch; the raw material data variation range is determined based on all historical cable production raw material data in the historical production data of the cable model, and the production parameter variation range is determined based on all historical cable production parameter data in the historical production data of the cable model; For each historical data subset, the second cable production data corresponding to each of all historical production batches in the historical data subset is filtered based on the raw material data variation range and the production parameter variation range to obtain a filtered historical data subset; the correlation coefficient between the historical cable quality evaluation data and the historical production environment data is calculated based on all filtered historical data subsets, and the environmental sensitivity coefficient of the cable model is determined based on the correlation coefficient.

[0048] In the embodiment, the second cable production data corresponding to each of all historical production batches in the historical data subset is filtered based on the raw material data variation range and the production parameter variation range to obtain a filtered historical data subset, specifically including: Based on the first proportional coefficient, the raw material data variation range is narrowed to obtain the narrowed raw material data variation range; based on the first proportional coefficient, the production parameter variation range is narrowed to obtain the narrowed production parameter variation range; based on the narrowed raw material data variation range and the narrowed production parameter variation range, the second cable production data corresponding to all historical production batches in the historical data subset are filtered to obtain the filtered historical data subset.

[0049] In this embodiment, the second cable production data refers to a set of production data corresponding to a historical production batch and containing multiple types of data. The historical cable quality assessment data refers to the evaluation data on the quality of historically produced cables, for example, it may include the finished product qualification rate and quality assessment score, etc. The historical data subset refers to the historical production data grouping based on the historical cable quality assessment data, and each subset contains at least one batch of second cable production data. The raw material data variation range refers to the fluctuation range of the historical cable production raw material data in the historical data subset, such as the difference between the maximum and minimum values ​​of the copper hardness. The production parameter variation range refers to the fluctuation range of the historical cable production parameter data in the historical data subset, such as the difference between the maximum and minimum values ​​of the extrusion temperature. The correlation coefficient is an indicator that characterizes the degree of correlation between the historical cable quality assessment data and the historical production environment data.

[0050] In this embodiment, the first proportional coefficient is a preset proportional value used to narrow the range of variation of raw material data and the range of variation of production parameters. The role of the first proportional coefficient is to improve the strictness of data screening by narrowing the range of variation of raw material data and the range of variation of production parameters, thereby accurately eliminating the interference of raw material characteristic fluctuations and production parameter adjustments on quality assessment. Specifically, the original raw material data variation range and production parameter variation range contain abnormal data with large fluctuations, and it is difficult to ensure the stability of raw materials and parameters in the data when directly used for data analysis; after narrowing the range by the first proportional coefficient, historical production batch data with smoother fluctuations in raw materials and parameters can be retained, so that the filtered historical data subset is more focused on the independent impact of environmental factors on quality, providing a purer sample for the subsequent calculation of the correlation coefficient between historical cable quality assessment data and historical production environment data, and ensuring that the environmental sensitivity coefficient can truly reflect the degree of impact of the environment on quality.

[0051] In this embodiment, this embodiment distinguishes production batches with different quality levels by dividing historical cable quality assessment data into multiple historical data subsets; this embodiment calculates the range of variation of raw materials and production parameters for each subset, and filters the data after reducing it by a first proportional coefficient to eliminate interference from raw material and parameter fluctuations; this embodiment then calculates the correlation coefficient between the historical cable quality assessment data and the historical production environment data in each subset, and comprehensively determines the environmental sensitivity coefficient of the cable model.

[0052] The consideration behind the present embodiment is that dividing historical production data into multiple historical data subsets based on historical cable quality evaluation data can longitudinally compare the characteristics of historical production environment data in different quality batches, for example, whether the environment data in the corresponding data subset presents a certain distribution as the quality evaluation data increases, or whether the environment data in the corresponding data subset fluctuates as the quality evaluation data decreases. The present embodiment can control the stability of raw materials and parameters within the same quality level, more clearly observe the correlation between quality changes and environment data changes, such as whether the quality evaluation data fluctuates when the environment temperature changes, and the correlation coefficient calculated after data screening can accurately reflect the influence trend of the environment on the quality under different quality levels, ensure that the environment sensitive coefficient truly quantifies the correlation degree between the environment and the quality, and provide a reliable basis for subsequent classification.

[0053] For example, the specific implementation process of determining the environment sensitive coefficient based on the historical production data of the cable model can include: (1) The present embodiment can divide the historical data subsets based on the historical cable quality evaluation data. Specifically, the present embodiment can extract all second cable production data of the cable model through the cable production management system, and then extract the historical cable quality evaluation data such as historical finished product pass rate and / or historical quality evaluation score therefrom. For example, the present embodiment can divide the quality evaluation scores into 3 levels (such as 90 points and above, 80-90 points, and 80 points and below), and the present embodiment can classify the historical production batches corresponding to each level into a historical data subset.

[0054] (2) The present embodiment can determine the raw material data variation range and the production parameter variation range. Specifically, the present embodiment can calculate the maximum value and the minimum value of all historical cable production raw material data (such as copper material resistivity and insulation material melt index) for each historical data subset, calculate the difference to obtain the raw material data variation range; the present embodiment can calculate the maximum value and the minimum value of all historical cable production parameter data (such as extrusion temperature and traction speed), and calculate the difference to obtain the production parameter variation range.

[0055] (3) The present embodiment can narrow the range and filter the data. Specifically, the present embodiment can set the first proportion coefficient to 0.7, multiply the raw material data variation range by 0.7 to obtain the narrowed raw material data variation range, multiply the production parameter variation range by 0.7 to obtain the narrowed production parameter variation range; filter the second cable production data from the historical data subset, wherein the historical cable production raw material data and the historical cable production parameter data are within the corresponding narrowed range, to form a filtered historical data subset.

[0056] (4) The embodiment can calculate the correlation coefficient and determine the environmental sensitivity coefficient. Specifically, the embodiment can calculate the correlation coefficient of the historical cable quality evaluation data and the historical production environment data (such as workshop temperature, humidity) for all filtered historical data subsets, and take the weighted average of the correlation coefficients of the environmental parameters such as workshop temperature and humidity and the historical cable quality evaluation data as the environmental sensitivity coefficient of the cable model, to quantify the influence degree of the environment on the quality.

[0057] In the embodiment, the second cable production data corresponding to each historical production batch in the historical data subset is filtered based on the reduced raw material data variation range and the reduced production parameter variation range to obtain a filtered historical data subset, specifically including: For the second cable production data corresponding to each historical production batch in the historical data subset: if the historical cable production raw material data in the second cable production data is within the reduced raw material data variation range, and the historical cable production parameter data is within the reduced production parameter variation range, the second cable production data is added to the filtered historical data subset.

[0058] In the embodiment, the historical cable quality evaluation data includes historical finished product qualification rate data and historical quality evaluation score data; the historical production data of the cable model is divided into multiple historical data subsets based on the historical cable quality evaluation data, which can specifically include: Multiple finished product qualification rate intervals are determined based on the historical finished product qualification rate data, and multiple quality evaluation levels are divided based on the historical quality evaluation score data; the historical production data of the cable model is divided into multiple historical data subsets based on the multiple finished product qualification rate intervals and the multiple quality evaluation levels.

[0059] In the embodiment, the historical finished product qualification rate data refers to the proportion data of qualified finished products in the total finished products in the historical production batch. The historical quality evaluation score data refers to the quantitative score data of the historical production cable quality. The finished product qualification rate interval refers to the range divided according to the historical finished product qualification rate data, such as 98% and above, 95%-98%, etc. The quality evaluation level refers to the level divided according to the historical quality evaluation score data, such as A level, B level and C level, etc.

[0060] In the embodiment, the consideration behind the embodiment is that in the historical production data of the same cable model, the quality level may differ, and the quality difference may mask the real influence of the environment on the quality. By dividing the subsets according to the qualification rate interval and the quality level, the historical cable quality evaluation data features in each subset can be ensured to be similar, the interference of quality fluctuations on subsequent environmental sensitivity coefficient calculation is reduced, and the divided subsets are more suitable for analyzing the correlation between environmental factors and quality, laying a foundation for accurately calculating the environmental sensitivity coefficient.

[0061] For example, the specific implementation process of dividing the historical production data of the cable model into multiple historical data subsets based on the historical cable quality evaluation data can include: (1) The embodiment can determine the division standards of the finished product yield rate interval and the quality evaluation grade. Specifically, the embodiment can analyze the historical finished product yield rate data of the cable model, and set intervals according to the distribution characteristics (such as 98% and above, 95%-98%, and 95% and below); the embodiment can analyze the historical quality evaluation score data, and divide the grades according to the score range (such as A grade for 90 points and above, B grade for 80-90 points, and C grade for 80 points and below).

[0062] (2) The embodiment can associate the historical production batches with the quality indicators. Specifically, the embodiment can extract the second cable production data corresponding to each historical production batch of the cable model, determine the historical finished product yield rate interval to which each batch belongs, and the historical quality evaluation score grade to which each batch belongs.

[0063] (3) The embodiment can divide the historical data subsets. Specifically, the embodiment can group the second cable production data corresponding to all historical production batches belonging to the same finished product yield rate interval and belonging to the same quality evaluation grade into one historical data subset, so as to ensure that the quality evaluation data in each subset is consistent in characteristics.

[0064] By dividing the subsets based on the historical finished product yield rate data and the historical quality evaluation score data, the embodiment can accurately distinguish production batches of different quality levels, realize longitudinal comparison of the historical production environment data characteristics in different quality batches, avoid covering the real correlation between the environment and the quality due to overall quality fluctuations, and lay a foundation for subsequent analysis. By reducing the variation range of the raw material data and the production parameters through the first proportion coefficient and filtering the data, the embodiment can effectively exclude the interference of raw material characteristic fluctuations and production parameter adjustments on quality evaluation, ensure that the filtered data set focuses more on the independent influence of environmental factors on quality, and improve the purity of environmental and quality correlation analysis. Based on the filtered subsets, the embodiment calculates the correlation coefficient and determines the environmental sensitivity coefficient, which can objectively quantify the influence of the environment on the cable quality, so that the environmental sensitivity coefficient more truly reflects the actual correlation, provides a reliable basis for subsequent cable model classification, and improves the stability and scientific nature of cable production quality.

[0065] In an embodiment of the present application, before obtaining the cable model of the target cable, the method further includes: obtaining the cable model of all historical production cables; for each cable model of the historical production cable, if the cable model belongs to a type of cable, performing a first operation to obtain the reference cable production parameter corresponding to the cable model: The first operation includes: obtain third cable production data corresponding to each of a plurality of historical production batches of the cable model, the third cable production data including historical cable production material data, historical cable production parameter data, historical cable quality evaluation data, and historical production environment data; determine, based on the first screening condition, third cable production data of a target historical production batch from the third cable production data corresponding to each of the plurality of historical production batches of the cable model; the first screening condition is that the historical cable quality evaluation data is higher than a first quality evaluation threshold; determine, based on the third cable production data of the target historical production batch, reference cable production parameters corresponding to the cable model; the reference cable production parameters are used to construct a production parameter query table.

[0066] In the embodiment, after obtaining the cable model of all the historical production cables, the following operations are further included: For each cable model of the historical production cables, if the cable model belongs to the second type of cable, a second operation is performed to obtain reference cable production parameters corresponding to the cable model; construct a production parameter query table based on the reference cable production parameters corresponding to each cable model of the historical production cables; The second operation includes: obtain fourth cable production data corresponding to each of a plurality of historical production batches of the cable model, the fourth cable production data including historical cable production parameter data and historical cable quality evaluation data; determine, based on the second screening condition, fourth cable production data of a target historical production batch from the fourth cable production data corresponding to each of the plurality of historical production batches of the cable model; the second screening condition is that the cable quality evaluation data is higher than a second quality evaluation threshold, and the second quality evaluation threshold is higher than the first quality evaluation threshold; determine, based on the fourth cable production data of the target historical production batch, reference cable production parameters corresponding to the cable model.

[0067] In the embodiment, the third cable production data refers to a production data set of a first type of cable historical production batch. The fourth cable production data refers to a production data set of a second type of cable historical production batch. The first screening condition refers to a condition for screening a high-quality batch of the first type of cable, with the historical cable quality evaluation data being higher than a first quality evaluation threshold as the standard. The second screening condition refers to a condition for screening a high-quality batch of the second type of cable, with the cable quality evaluation data being higher than a second quality evaluation threshold as the standard. The first quality evaluation threshold refers to a critical value for the quality of the first type of cable to be qualified, and the second quality evaluation threshold refers to a critical value for the quality of the second type of cable to be qualified and is higher than the first threshold. The reference cable production parameters refer to standard production parameters corresponding to each cable model, serving as a reference for subsequent production.

[0068] In the embodiment, for a type of cable, the embodiment screens batches with historical quality evaluation data higher than a first quality evaluation threshold, determines reference parameters based on third cable production data including raw materials, parameters and environment, etc. of the batches, for a second type of cable, the embodiment screens batches with quality evaluation data higher than a second higher quality evaluation threshold, determines reference parameters based on fourth cable production data including parameters and quality of the batches, and finally constructs a production parameter query table.

[0069] The consideration behind the embodiment is that the first type of cable is sensitive to raw materials and environment, and reference parameters need to be determined based on high-quality batches including multiple types of data to provide a basis for subsequent adjustment; the second type of cable is strong in tolerance, simplifies the data dimension (only parameters and quality), and sets a higher second threshold to ensure that the reference parameters are more stable and reliable. The embodiment can guarantee the effectiveness of the reference parameters by classifying and screening high-quality batch data, and the query table constructed can provide a unified standard for setting production parameters for different types of cables, taking into account accuracy and efficiency.

[0070] For example, the specific implementation process of constructing the production parameter query table can include: (1) The embodiment can process the determination of reference parameters for the first type of cable. Specifically, the embodiment can obtain, for each historical production cable belonging to the first type of cable, third cable production data of multiple historical production batches of the cable model through a production management system; the embodiment can set a first quality evaluation threshold (such as a quality evaluation score of 85), and screen out target historical production batches with historical cable quality evaluation data higher than the threshold; the embodiment can integrate historical cable production parameter data of these batches, and take the mean or mode as the reference cable production parameters corresponding to the model.

[0071] (2) The embodiment can process the determination of reference parameters for the second type of cable. Specifically, the embodiment can obtain, for each historical production cable belonging to the second type of cable, fourth cable production data of multiple historical production batches of the cable model; the embodiment can set a second quality evaluation threshold (such as a quality evaluation score of 90, higher than the first threshold), and screen out target historical production batches with cable quality evaluation data higher than the threshold; the embodiment can integrate historical cable production parameter data of these batches, and take the mean or mode as the reference cable production parameters corresponding to the model.

[0072] (3) The embodiment can construct a production parameter query table. Specifically, the embodiment can associate all historical production cable models with the corresponding determined reference cable production parameters one by one to form a structured production parameter query table.

[0073] The embodiment determines the reference parameters through classification of a type of cable and a type of cable, and takes into account the characteristic requirements of different types of cables. The type of cable determines the reference based on a high-quality batch containing multiple types of data, providing a comprehensive reference for subsequent parameter adjustment; the type of cable simplifies the data dimension and sets a higher quality threshold, ensuring that the reference parameters are more stable and reliable. The embodiment filters high-quality batch data as the reference source, ensuring the effectiveness and rationality of the reference cable production parameters. The production parameter query table constructed in the embodiment provides a unified parameter standard for various types of cables, reduces the subjectivity of parameter setting, improves the standardization of production parameter management, and can guarantee the quality adjustment basis of the type of cable and improve the production efficiency of the type of cable, taking into account the production quality and management economy.

[0074] The cable production management method corresponding to the above embodiment, Figure 2 The structure block diagram of the cable production management system provided by an embodiment of the present application is shown. For ease of illustration, only the parts related to the embodiments of the present application are shown. Reference is made to Figure 2 The cable production management system 20 includes a cable classification module 21, a first cable management module 22, and a second cable management module 23.

[0075] The cable classification module 21 is configured to obtain the cable model of a target cable, and match the cable type of the target cable from a cable type classification table based on the cable model. The target cable is a cable to be produced, and the cable type classification table includes a one-to-one correspondence between the cable model and the cable type. The first cable management module 22 is configured to, if the cable type of the target cable belongs to the type of cable, determine the initial cable production parameters based on the cable model of the target cable and a production parameter query table. The initial cable production parameters are adjusted based on the cable production raw material data and the production environment data of the target cable to obtain the target cable production parameters. The production parameter query table includes a one-to-one correspondence between the cable model and the cable production parameters. The second cable management module 23 is configured to, if the cable type of the target cable belongs to the type of cable, determine the initial cable production parameters based on the cable model of the target cable and the production parameter query table as the target cable production parameters. The environmental sensitivity coefficient of the type of cable is greater than that of the type of cable, and the raw material data fluctuation coefficient of the type of cable is greater than that of the type of cable.

[0076] In an embodiment of the present application, the cable production management system 20 further includes: The cable type analysis module is configured to: Obtain the cable model of all historical production cables; Determine the cable type corresponding to each cable model, and construct a cable type classification table based on the cable model of all historical production cables and the cable type corresponding to each cable model. wherein, for each cable model of the historical cable production, the determination of the cable type corresponding to the cable model comprises: determining, based on the historical production data corresponding to the cable model, a raw material data fluctuation coefficient and an environmental sensitivity coefficient corresponding to the cable model; if the raw material data fluctuation coefficient is greater than a first fluctuation coefficient threshold or the environmental sensitivity coefficient is greater than a first environmental sensitivity coefficient threshold, determining that the cable type corresponding to the cable model is a first cable type; if the raw material data fluctuation coefficient is less than or equal to the first fluctuation coefficient threshold and the environmental sensitivity coefficient is less than or equal to the first environmental sensitivity coefficient threshold, determining that the cable type corresponding to the cable model is a second cable type.

[0077] In an embodiment of the present application, the historical production data of the cable model comprises first cable production data corresponding to each of a plurality of historical production batches; the first cable production data comprises historical cable production raw material data; the historical cable production raw material data comprises historical conductor raw material data, historical insulation raw material data, historical shielding raw material data, and historical sheath raw material data; and the cable type analysis module is specifically configured to: calculate, based on the historical conductor raw material data, the historical insulation raw material data, the historical shielding raw material data, and the historical sheath raw material data corresponding to each of the plurality of historical production batches of the cable model, a raw material data fluctuation coefficient of the cable model.

[0078] In an embodiment of the present application, the historical production data of the cable model comprises second cable production data corresponding to each of a plurality of historical production batches; the second cable production data comprises historical cable production raw material data, historical cable production parameter data, historical cable quality evaluation data, and historical production environment data; and the cable type analysis module is specifically further configured to: divide, based on the historical cable quality evaluation data, the historical production data of the cable model into a plurality of historical data subsets; each historical data subset comprises second cable production data corresponding to at least one historical production batch; determine a raw material data variation range based on all the historical cable production raw material data in the historical production data of the cable model, and determine a production parameter variation range based on all the historical cable production parameter data in the historical production data of the cable model; for each historical data subset, filter, based on the raw material data variation range and the production parameter variation range, the second cable production data corresponding to all the historical production batches in the historical data subset, to obtain a filtered historical data subset; calculate a correlation coefficient between the historical cable quality evaluation data and the historical production environment data based on all the filtered historical data subsets, and determine an environmental sensitivity coefficient of the cable model based on the correlation coefficient.

[0079] In an embodiment of the present application, the cable type analysis module is further configured to: reduce the raw material data variation range based on the first scale factor to obtain a reduced raw material data variation range, reduce the production parameter variation range based on the first scale factor to obtain a reduced production parameter variation range, and filter the second cable production data corresponding to all historical production batches in the historical data subset based on the reduced raw material data variation range and the reduced production parameter variation range to obtain a filtered historical data subset.

[0080] In an embodiment of the present application, the cable production management system 20 further comprises: a production parameter analysis module configured to obtain the cable model of all historical production cables; For each cable model of the historical production cables, if the cable model belongs to a first type of cable, a first operation is performed to obtain the reference cable production parameter corresponding to the cable model: The first operation comprises: obtaining third cable production data corresponding to each of the plurality of historical production batches of the cable model, the third cable production data comprising historical cable production raw material data, historical cable production parameter data, historical cable quality evaluation data, and historical production environment data; determining the third cable production data of the target historical production batch from the third cable production data corresponding to each of the plurality of historical production batches of the cable model based on a first filtering condition; the first filtering condition being that the historical cable quality evaluation data is higher than a first quality evaluation threshold; determining the reference cable production parameter corresponding to the cable model based on the third cable production data of the target historical production batch; the reference cable production parameter being used to construct a production parameter query table.

[0081] In an embodiment of the present application, the production parameter analysis module is further configured to: For each cable model of the historical production cables, if the cable model belongs to a second type of cable, a second operation is performed to obtain the reference cable production parameter corresponding to the cable model; constructing a production parameter query table based on the reference cable production parameters corresponding to the cable models of the historical production cables respectively; The second operation comprises: obtaining fourth cable production data corresponding to each of the plurality of historical production batches of the cable model, the fourth cable production data comprising historical cable production parameter data and historical cable quality evaluation data; determining, based on a second screening condition, fourth cable production data of a target historical production batch from fourth cable production data corresponding to each of a plurality of historical production batches of the cable model; wherein the second screening condition is that the cable quality assessment data is higher than a second quality assessment threshold, and the second quality assessment threshold is higher than the first quality assessment threshold; Determine the benchmark cable production parameters corresponding to the cable model based on the fourth cable production data of the target historical production batch.

[0082] See also Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided in one embodiment of the present application. Figure 3 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned system embodiments, such as Figure 2 The functions of the cable classification module 21, the first cable management module 22 and the second cable management module 23 are shown.

[0083] It should be understood that in the embodiment of the present application, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0084] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0085] The memory 304 can include read-only memory and random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 can also include non-volatile random access memory. For example, the memory 304 can also store cable type information.

[0086] In specific implementations, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present application can perform the implementation manners described in the embodiments of the cable production management method provided by the embodiments of the present application, and can also perform the implementation manners of the electronic device 300 described in the embodiments of the present application, which will not be described here.

[0087] In another embodiment of the present application, a computer readable storage medium is provided, which stores a computer program. The computer program includes program instructions, which are executed by a processor to implement all or part of the processes of the above-mentioned embodiments. The computer program can also be used to instruct related hardware to complete the implementation. The computer program can be stored in a computer readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0088] The computer readable storage medium can be an internal storage unit of the electronic device of any of the above-mentioned embodiments, such as a hard disk or a memory of the electronic device. The computer readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the computer readable storage medium can include both the internal storage unit and the external storage device of the electronic device. The computer readable storage medium is used to store the computer program and other programs and data required by the electronic device. The computer readable storage medium can also be used to temporarily store data that has been output or will be output.

[0089] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the electronic device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

[0090] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the electronic device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

[0091] In several embodiments provided in the present application, it should be understood that the disclosed electronic device and method can be implemented in other ways. For example, the system embodiments described above are merely schematic, for example, the division of the module / unit is only a logical function division, and actual implementation can have another division manner, for example, a plurality of modules, units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be indirect coupling or communication connection through some interfaces or modules / units, and can also be electrical, mechanical or other form of connection.

[0092] The module / unit described as a separate component can be or can not be physically separated, and the component displayed as a module / unit can be or can not be a physical module / unit, that is, can be located in one place, or can be distributed to a plurality of network modules / units. Part or all of the modules / units can be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0093] In addition, each functional module / unit in each embodiment of the present application can be integrated in one processing module / unit, or each module / unit can exist physically, or two or more modules / units can be integrated in one module / unit. The integrated module / unit can be realized in the form of hardware or in the form of a software functional module / unit.

[0094] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present application, and these modifications or replacements should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A cable production management method, characterized in that: include: Obtaining a cable model of a target cable, and obtaining a cable type of the target cable by matching the cable model from a cable type classification table; The target cable is a cable to be produced, and the cable type classification table includes a one-to-one correspondence between cable models and cable types; If the cable type of the target cable belongs to Class I cable, determining initial cable production parameters based on the cable model of the target cable and a production parameter query table; Adjusting the initial cable production parameters based on the cable production raw material data and production environment data of the target cable to obtain target cable production parameters; The production parameter query table includes a one-to-one correspondence between cable models and cable production parameters; If the target cable type belongs to a Class II cable, determining initial cable production parameters based on the target cable model and a production parameter query table as the target cable production parameters; The environmental sensitivity coefficient of the first category cable is greater than that of the second category cable, and the raw material data fluctuation coefficient of the first category cable is greater than that of the second category cable.

2. The cable production management method according to claim 1, characterized in that: Before obtaining the cable model of the target cable, the method further includes: Get the cable models of all historically produced cables; Determine the cable type corresponding to each cable model, and build a cable type classification table based on the cable models of all historically produced cables and the cable types corresponding to each cable model; For each cable model of historically produced cables, the method for determining the cable type corresponding to the cable model includes: Determine the raw material data fluctuation coefficient and environmental sensitivity coefficient corresponding to the cable model based on the historical production data corresponding to the cable model; If the raw material data fluctuation coefficient is greater than the first fluctuation coefficient threshold, or the environmental sensitivity coefficient is greater than the first environmental sensitivity coefficient threshold, determining that the cable type corresponding to the cable model is a Class I cable; If the raw material data fluctuation coefficient is less than or equal to the first fluctuation coefficient threshold, and the environmental sensitivity coefficient is less than or equal to the first environmental sensitivity coefficient threshold, it is determined that the cable type corresponding to the cable model is a Class II cable.

3. The cable production management method according to claim 2, characterized in that: The historical production data of the cable model includes first cable production data corresponding to each of a plurality of historical production batches; the first cable production data includes historical cable production raw material data; the historical cable production raw material data includes historical conductor raw material data, historical insulation raw material data, historical shielding raw material data and historical sheath raw material data; The raw material data fluctuation coefficient of the cable model is determined based on the historical production data of the cable model, including: The raw material data fluctuation coefficient of the cable model is calculated based on the historical conductor raw material data, historical insulation raw material data, historical shielding raw material data and historical sheath raw material data corresponding to multiple historical production batches of the cable model.

4. The cable production management method according to claim 2, characterized in that: The historical production data of the cable model includes second cable production data corresponding to each of a plurality of historical production batches; the second cable production data includes historical cable production raw material data, historical cable production parameter data, historical cable quality assessment data, and historical production environment data; The environmental sensitivity coefficient of the cable model is determined based on the historical production data of the cable model, including: Dividing the historical production data of the cable model into a plurality of historical data subsets based on the historical cable quality assessment data; each historical data subset includes second cable production data corresponding to at least one historical production batch; Determine a raw material data variation range based on all historical cable production raw material data in the historical production data of the cable model, and determine a production parameter variation range based on all historical cable production parameter data in the historical production data of the cable model; For each historical data subset, filtering the second cable production data corresponding to all historical production batches in the historical data subset based on the raw material data variation range and the production parameter variation range to obtain a filtered historical data subset; The correlation coefficient between the historical cable quality assessment data and the historical production environment data is calculated based on all filtered historical data subsets, and the environmental sensitivity coefficient of the cable model is determined based on the correlation coefficient.

5. The cable production management method according to claim 4, characterized in that: The second cable production data corresponding to each of all historical production batches in the historical data subset is filtered based on the raw material data variation range and the production parameter variation range to obtain a filtered historical data subset, including: reducing the raw material data variation range based on a first proportional coefficient to obtain a reduced raw material data variation range; Narrowing the production parameter variation range based on the first proportional coefficient to obtain a narrowed production parameter variation range; The second cable production data corresponding to all historical production batches in the historical data subset are filtered based on the narrowed raw material data variation range and the narrowed production parameter variation range to obtain a filtered historical data subset.

6. The cable production management method according to claim 1, characterized in that: Before obtaining the cable model of the target cable, the method further includes: Get the cable models of all historically produced cables; For each cable model of historically produced cables, if the cable model belongs to a category of cables, the first operation is performed to obtain the benchmark cable production parameters corresponding to the cable model: The first operation includes: Obtaining third cable production data corresponding to each of multiple historical production batches of the cable model, wherein the third cable production data includes historical cable production raw material data, historical cable production parameter data, historical cable quality assessment data, and historical production environment data; Determining the third cable production data of the target historical production batch from the third cable production data corresponding to each of multiple historical production batches of the cable model based on a first screening condition; the first screening condition being that the historical cable quality assessment data is higher than a first quality assessment threshold; The benchmark cable production parameters corresponding to the cable model are determined based on the third cable production data of the target historical production batch; the benchmark cable production parameters are used to construct a production parameter query table.

7. The cable production management method according to claim 6, characterized in that: After obtaining the cable models of all historically produced cables, the following steps are also included: For each cable model of historically produced cables, if the cable model belongs to Category II cable, perform the second operation to obtain the benchmark cable production parameters corresponding to the cable model; Constructing a production parameter query table based on the benchmark cable production parameters corresponding to each cable model of historically produced cables; The second operation includes: Obtaining fourth cable production data corresponding to each of multiple historical production batches of the cable model, wherein the fourth cable production data includes historical cable production parameter data and historical cable quality assessment data; Determining, based on a second screening condition, fourth cable production data of a target historical production batch from fourth cable production data corresponding to each of multiple historical production batches of the cable model; wherein the second screening condition is that the cable quality assessment data is higher than a second quality assessment threshold, and the second quality assessment threshold is higher than the first quality assessment threshold; The benchmark cable production parameters corresponding to the cable model are determined based on the fourth cable production data of the target historical production batch.

8. A cable production management system, characterized in that: include: A cable classification module is used to obtain a cable model of a target cable and obtain a cable type of the target cable by matching the cable model from a cable type classification table; The target cable is a cable to be produced, and the cable type classification table includes a one-to-one correspondence between cable models and cable types; a first cable management module, configured to determine initial cable production parameters based on the cable model of the target cable and a production parameter query table if the cable type of the target cable belongs to a Class I cable; Adjusting the initial cable production parameters based on the cable production raw material data and production environment data of the target cable to obtain target cable production parameters; The production parameter query table includes a one-to-one correspondence between cable models and cable production parameters; a second cable management module, configured to determine, if the target cable belongs to a Class II cable, initial cable production parameters based on the target cable model and a production parameter query table, as the target cable production parameters; The environmental sensitivity coefficient of the first category cable is greater than that of the second category cable, and the raw material data fluctuation coefficient of the first category cable is greater than that of the second category cable.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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