A method for preparing aging-resistant cable material

Abstract

The present application provides a method for preparing aging-resistant cable materials, which relates to the technical field of cable preparation. The method randomly selects auxiliary agent parameters in the auxiliary agent parameter space, and combines the fusion working environment parameters to predict the aging resistance after a preset operation time, and obtains the aging resistance performance parameters; analyzes the decline of strength performance and insulation performance according to the auxiliary agent parameters, and obtains the loss strength performance parameters and the loss insulation performance parameters; analyzes the strength performance and insulation performance after a preset operation time in combination with the auxiliary agent parameters and the fusion working environment parameters, and obtains the attenuation strength performance parameters and the attenuation insulation performance parameters; calculates the aging resistance adaptability according to all the above performance parameters, optimizes the auxiliary agent parameters, obtains the optimal auxiliary agent parameters, and prepares the aging-resistant cable material. The present application solves the technical problems that the existing methods lack scientific and systematic optimization means when selecting auxiliary agents, and it is difficult to take into account the balance between different performances, and significantly improves the service life and environmental adaptability of cable materials.

Description

Technical Field

[0001] The present application relates to the technical field of cable preparation, and in particular to a method for preparing an aging-resistant cable material. Background Art

[0002] In modern power transmission systems, cables are key components, and their performance directly affects the efficiency and safety of power transmission, especially the aging resistance of cables, which is directly related to the service life of cables and the stability of power transmission. In order to extend the service life of cables, anti-aging additives such as antioxidants, UV absorbers and stabilizers are usually added to cable materials to improve their ability to resist environmental factors such as oxidation, UV radiation and high temperature.

[0003] The existing technology lacks systematic parameter optimization for the addition of anti-aging additives, and is often based on experience or simple trial and error, which leads to unstable effects in improving anti-aging performance. At the same time, it ignores the impact of cable working environment factors on aging performance, making it difficult to guarantee the performance of the cable under actual use conditions. In addition, while the addition of these additives enhances the cable's anti-aging ability, it may have a negative impact on other key properties of the cable, such as mechanical strength and insulation performance. The existing technology's assessment of the impact of additives is mostly focused on anti-aging performance, lacking a comprehensive consideration of strength and insulation performance loss, which may lead to an imbalance in the overall performance of cable materials and affect their long-term stability and reliability. Summary of the invention

[0004] The present application provides a method for preparing aging-resistant cable materials, which solves the technical problem that the existing methods lack scientific and systematic optimization means when selecting and proportioning additives, and it is difficult to take into account the balance between different performances, resulting in the comprehensive performance of the cable materials not being fully guaranteed. The application achieves the technical effect of comprehensively optimizing the comprehensive performance of the cable materials and significantly improving the service life and environmental adaptability of the cable materials.

[0005] In view of the above problems, the present application provides a method for preparing aging-resistant cable materials, the method comprising: obtaining an additive parameter space for adding additives to the cable material, randomly selecting a first additive parameter in the additive parameter space, and combining the fusion working environment parameters of the cable to predict the aging resistance of the cable material after a preset operation time to obtain a first aging resistance performance parameter; according to the first additive parameter, performing a strength performance and insulation performance decline analysis of the prepared cable material to obtain a first loss strength performance parameter and a first loss insulation performance parameter; combining the first additive parameter and the fusion working environment parameter, performing a strength performance and insulation performance analysis after a preset operation time to calculate and obtain a first attenuation strength performance parameter and a first attenuation insulation performance parameter; according to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, calculating and obtaining a first aging resistance adaptability of the first additive parameter, and according to the first aging resistance adaptability, continuing to optimize the additive parameters to obtain the optimal additive parameters, and preparing an aging-resistant cable material.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] Obtain an additive parameter space for adding additives to the cable material, randomly select a first additive parameter in the additive parameter space, and combine the fusion working environment parameters of the cable to predict the aging resistance of the cable material after a preset operation time to obtain a first aging resistance performance parameter; according to the first additive parameter, analyze the decline in strength and insulation performance of the prepared cable material to obtain a first loss strength performance parameter and a first loss insulation performance parameter; combine the first additive parameter and the fusion working environment parameters to analyze the strength and insulation performance after a preset operation time, and calculate to obtain a first attenuation strength performance parameter and a first attenuation insulation performance parameter; according to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, calculate to obtain a first aging resistance fitness of the first additive parameter, and according to the first aging resistance fitness, continue to optimize the additive parameters to obtain the optimal additive parameters, and prepare an aging-resistant cable material. In summary, this application quantifies the specific performance loss after the addition of the additive by analyzing the strength and insulation performance degradation of the cable material under the first additive parameter, as well as the attenuation after the preset operation time, identifies and minimizes the negative impact of the additive on the strength and insulation performance, and ensures that the cable meets the anti-aging requirements while the key performance degradation is minimized. At the same time, the working environment parameters of the cable are included in the analysis during the performance prediction process to ensure that the cable material can maintain good strength and insulation performance even under harsh or specific environmental conditions after the addition of additives, thereby improving the environmental adaptability and reliability of the cable; through the calculation of aging resistance fitness and iterative optimization of additive parameters, not only the anti-aging performance of the cable material is optimized, but also the maintenance of strength and insulation performance is taken into account, avoiding the disadvantages of sacrificing other performances for the optimization of a single performance, effectively balancing the anti-aging performance of the cable material with its strength and insulation performance, achieving a comprehensive improvement in cable performance, and at the same time enhancing the environmental adaptability and service life of the cable.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A schematic diagram of a process for preparing an aging-resistant cable material provided in an embodiment of the present application;

[0010] Figure 2 A schematic flow chart of obtaining a first attenuation strength performance parameter and a first attenuation insulation performance parameter in a method for preparing an aging-resistant cable material provided in an embodiment of the present application. DETAILED DESCRIPTION

[0011] The embodiments of the present application provide a method for preparing aging-resistant cable materials, thereby solving the technical problem that the existing methods lack scientific and systematic optimization means when selecting and proportioning additives, making it difficult to strike a balance between different performances, resulting in the comprehensive performance of the cable materials not being fully guaranteed. The technical effect of comprehensively optimizing the comprehensive performance of the cable materials and significantly improving the service life and environmental adaptability of the cable materials is achieved.

[0012] like Figure 1 As shown, the embodiment of the present application provides a method for preparing an aging-resistant cable material, the method comprising:

[0013] The auxiliary agent parameter space for adding auxiliary agents to the cable material is obtained, and a first auxiliary agent parameter is randomly selected in the auxiliary agent parameter space. The aging resistance of the cable material is predicted after a preset operation time in combination with the fusion working environment parameters of the cable to obtain a first aging resistance performance parameter.

[0014] Specifically, the additives added in the preparation process of aging-resistant cable materials include antioxidants, UV absorbers and stabilizers. The parameter ranges of these additives in multiple dimensions, such as the type, content and proportion of these additives, constitute the additive parameter space, in which each additive and its corresponding proportion combination can be regarded as a point. The integrated working environment parameters refer to the reference values ​​determined in the preparation process of aging-resistant cable materials for defining the environmental conditions for cable use, including temperature, humidity, UV radiation, etc. These parameters are determined by integrating the historical environmental data and current environmental data of the cable.

[0015] Establish an additive parameter space containing all available additives and their different combinations and proportions, and randomly select a set of additive parameter combinations in the constructed additive parameter space, which is called the first additive parameter. Predict the aging enhancement of the aging-resistant cable material prepared according to the first additive parameter after the preset working time under the fusion working environment parameters. The prediction process usually relies on laboratory accelerated aging tests or computer simulation tools. For example, through high temperature, ultraviolet rays and humidity accelerated aging tests, the aging of cable materials in several years or even decades can be simulated in a few days or weeks. The prediction process can also be simulated using a material aging model. Through the prediction, the first aging resistance performance parameter, that is, the aging resistance of the cable material, is obtained. Among them, the preset working time refers to the length of time that the cable material is expected to be used in the simulation, which is used to predict the long-term performance of the cable in the actual use environment. The first aging resistance performance parameter refers to the aging performance parameter of the cable material under the first additive parameter and the fusion working environment parameter after the preset working time, which usually includes the physical changes of the material, the degree of oxidation, etc., and can be expressed by the inverse of the performance degradation after the preset working time. The less the performance degradation, the greater the aging resistance performance parameter.

[0016] According to the first auxiliary agent parameter, the strength performance and insulation performance degradation analysis of the cable material preparation is performed to obtain the first loss strength performance parameter and the first loss insulation performance parameter. Specifically, the strength performance refers to the mechanical properties of the cable material such as tensile strength, compression, and bending under the action of external forces, such as tensile strength and elongation at break, which usually determine whether the cable can withstand tension, pressure and other mechanical loads during installation and use. Insulation performance refers to the ability of the cable material to prevent the passage of electric current, ensuring that the cable will not have dangerous situations such as leakage and short circuit during use. Insulation performance is usually measured by indicators such as insulation resistance and dielectric constant.

[0017] The cable material prepared under the first additive parameter is analyzed to see the degree of decline in strength and insulation performance compared with the material without additives or under different parameter conditions. The strength performance index and insulation performance index of the cable material prepared under the first additive parameter are obtained according to the analysis results, namely the first loss strength performance parameter and the first loss insulation performance parameter. These two sets of parameters reflect the specific values ​​of the material strength and insulation performance under the first additive parameter. The analysis process can be carried out through small batch experiments or through historical data prediction. Through these tests and analyses, the negative effects brought by the additives can be judged, thus providing a reference for the subsequent optimization of the additive formula.

[0018] For example, during the manufacturing process of cables, an antioxidant was added. After analysis, it was found that the tensile strength of the material dropped from the original 150MPa to 130MPa. The insulation resistance of the cable material was originally 200MΩ, but after adding the additive, the resistance dropped to 150MΩ. At this time, 130MPa is the first loss strength performance parameter, and 150MΩ is the first loss insulation performance parameter.

[0019] In combination with the first auxiliary agent parameters and the fusion working environment parameters, the strength performance and insulation performance analysis after the preset operation time is performed, and the first attenuation strength performance parameters and the first attenuation insulation performance parameters are calculated.

[0020] Specifically, the first attenuation strength performance parameter refers to the specific value of the attenuation of the strength performance of the cable material after the first auxiliary agent parameter is added and the preset operation time. The first attenuation insulation performance parameter refers to the specific value of the attenuation of the insulation performance of the cable material after the first auxiliary agent parameter is added and the preset operation time. The strength performance and insulation performance changes of the cable material prepared under the first auxiliary agent parameter after working for a preset operation time under the integrated working environment parameter are predicted by accelerated aging test or numerical simulation. For example, a thermal oxygen aging box is used to simulate the actual working environment conditions to conduct an accelerated aging test; or a finite element analysis software such as ANSYS or COMSOL is used for numerical simulation. According to the prediction results, the first attenuation strength performance parameter and the first attenuation insulation performance parameter are calculated and determined. These two parameters quantify the specific degree of decline in the strength and insulation performance of the cable material after the preset operation time due to aging and the influence of the working environment. For example, the preset operation time is five years, and it is predicted that the tensile strength of the cable material prepared under the first auxiliary agent parameter will drop from 100MPa to 90MPa after five years, then the attenuation strength performance parameter is 10MPa. Five years later, the insulation resistance of the cable material drops from 100MΩ to 90MΩ, so the attenuation insulation performance parameter is 10MΩ.

[0021] Through this step, the performance degradation of cable materials after long-term use can be clearly predicted, and the attenuation parameters can be calculated to provide a basis for the optimization of additive parameters.

[0022] According to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, the first aging resistance adaptability of the first auxiliary agent parameter is calculated, and according to the first aging resistance adaptability, the auxiliary agent parameter optimization is continued to obtain the optimal auxiliary agent parameter, and the aging-resistant cable material is prepared.

[0023] Specifically, the first aging resistance fitness is a comprehensive indicator, which quantifies the effect of the additive combination based on the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter obtained above. Usually, each parameter is quantified and weighted through a mathematical model, such as a weighted average or a multi-objective optimization model, to calculate the first aging resistance fitness. Among them, the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, and the aging resistance fitness are positively correlated, and the larger the value, the better the aging resistance fitness; the first attenuation strength performance parameter and the first attenuation insulation performance parameter are negatively correlated with the aging resistance fitness, and the smaller the value, the better the aging resistance fitness.

[0024] Through the calculated first aging resistance fitness, the comprehensive performance of the first additive parameter can be intuitively understood. The aging resistance fitness not only considers the improvement of a single performance, but also systematically balances various key indicators, so that the cable material has long-term reliability under various working conditions. If the first aging resistance fitness is low, it means that although the first additive parameter improves the aging resistance performance, the damage to the strength or insulation performance is too large; if the first aging resistance fitness is high, it means that the first additive parameter achieves a balance of performance. According to the aging resistance fitness score, the additive parameters are iteratively optimized, and algorithm tools such as genetic algorithms and simulated annealing algorithms are usually used to optimize the additive parameters. In each optimization process, by slightly adjusting the type and proportion of the additives, that is, the points in the parameter space, a new aging resistance fitness can be recalculated until an optimal point is found. For example, if the initial additive combination causes a large loss of strength of the material, the proportion of antioxidants can be reduced and the content of stabilizers or ultraviolet absorbers can be increased. After each adjustment, the aging resistance fitness is recalculated to find a balance between aging resistance, strength, and insulation performance.

[0025] Through multiple optimizations, the optimal solution found is the optimal additive parameters. This optimal parameter improves the cable's aging resistance while minimizing the loss of strength and insulation performance. Based on this parameter, actual material preparation is carried out, and finally a cable material with excellent aging resistance is obtained.

[0026] Furthermore, the embodiment of the present application obtains the auxiliary agent parameter space for adding auxiliary agents to the cable material, including:

[0027] Obtain the antioxidant parameter space, ultraviolet absorber parameter space and stabilizer parameter space for adding antioxidants, ultraviolet absorbers and stabilizers to the cable material; combine the antioxidant parameter space, ultraviolet absorber parameter space and stabilizer parameter space to obtain the auxiliary agent parameter space. Specifically, the antioxidant parameter space refers to the combination range of all possible antioxidant types, concentrations, addition methods and other parameters used to improve the antioxidant performance of the material during the preparation of the cable material. The ultraviolet absorber parameter space refers to the combination range of all possible ultraviolet absorber types, concentrations, addition sequences and other parameters during the preparation of the cable material, which is used to improve the ability of the cable material to resist ultraviolet aging. The stabilizer parameter space covers all possible combinations of stabilizer types, concentrations, reaction conditions and other parameters to improve the thermal stability and mechanical stability of the cable material. The antioxidant parameter space, ultraviolet absorber parameter space and stabilizer parameter space are combined, that is, the three parameter spaces are subjected to Cartesian product operations to generate all possible combinations, each combination represents a cable material auxiliary agent addition scheme, thereby constructing a comprehensive auxiliary agent parameter space. This step can be implemented by programming in computer software, such as using Python's Pandas library or MATLAB's matrix operations to construct a matrix or data table of parameter combinations.

[0028] For example, antioxidant types include hindered phenols, phosphites, etc., with concentrations ranging from 0.1% to 2%, and addition methods include direct mixing, premixing, etc. UV absorbers such as benzophenones and benzotriazoles may have concentrations ranging from 0.2% to 1%, and the order of addition may be before or after the substrate is mixed. Stabilizer types include calcium zinc stabilizers, lead salt stabilizers, etc., with concentrations ranging from 0.5% to 1.5%, and the reaction temperature range is set at 80°C to 120°C. Through programming, all possible concentration combinations are generated to form a three-dimensional parameter space matrix.

[0029] Through the above steps, an additive parameter space is constructed that comprehensively covers all possible parameter combinations of antioxidants, UV absorbers and stabilizers, providing a parameter selection range for subsequent additive parameter optimization and cable material performance evaluation.

[0030] Furthermore, the embodiment of the present application randomly selects a first auxiliary agent parameter in the auxiliary agent parameter space, combines the fusion working environment parameters of the cable, performs an aging resistance prediction of the cable material after a preset operation time, and obtains a first aging resistance performance parameter, including:

[0031] Randomly select and obtain the first additive parameter in the additive parameter space; collect the current working environment parameters of the cable, and fuse the historical working environment parameters to obtain the fused working environment parameters of the cable; according to the fused working environment parameters and the first additive parameter, predict the aging resistance of the cable material after the preset operation time, and obtain the first aging resistance performance parameter. Specifically, in order to find the best additive combination, it is first necessary to randomly select a combination from the additive parameter space. The extraction process can be implemented by a computer program, using Monte Carlo random sampling or Latin hypercube sampling and other technologies to select a combination scheme from the huge parameter space. This randomly selected combination scheme is called the first additive parameter, which contains specific additive types and proportions, such as antioxidant A (3%), ultraviolet absorber B (2%), and stabilizer C (1%).

[0032] Next, the current working environment parameters of the cable are collected and integrated with the historical working environment parameters to obtain the integrated working environment parameters of the cable. The working environment parameters include the actual conditions of the area where the cable is located, such as temperature, humidity, ultraviolet intensity, mechanical load, etc. These parameters can be obtained in real time through sensors or data loggers. At the same time, since the working environment of the cable is not a stable and single environment, it is also necessary to consider the historical working environment data of the cable material in the past period of time, integrate the historical data and current data, and predict future environmental conditions. This integrated environmental parameter more accurately reflects the actual conditions of the cable material.

[0033] Then, according to the fusion working environment parameters and the first additive parameters, the aging prediction model is used to predict the aging resistance of the cable material after the preset operation time. This prediction model predicts the aging degree of the material based on the fusion working environment parameters and the additive combination. For example, it predicts whether the strength and oxidation resistance of the cable material still meet the standards after 5 years in a high temperature and high humidity environment. After the prediction analysis, the first aging resistance performance parameter is obtained.

[0034] Furthermore, the embodiment of the present application collects the current working environment parameters of the cable and integrates the historical working environment parameters, including:

[0035] Acquire the real-time working environment parameters under the real-time time frame; adjust the preset fusion time range according to the deviation between the real-time working environment parameters and the historical average working environment parameters to obtain the fusion time range, wherein the size of the deviation is positively correlated with the size of the fusion time range; perform fusion calculation on the historical working environment parameters within the fusion time range within the historical time of the real-time time frame to obtain the fused working environment parameters. Specifically, a specific way to obtain the fused working environment parameters of the cable includes: first, collect the environmental data of the cable at the current moment through a sensor or a monitoring system, such as the current temperature, humidity, ultraviolet intensity, etc., to obtain the real-time working environment parameters under the real-time time frame. For example, the current time is 10 am, and the sensor shows that the temperature is 32°C, the humidity is 60%, and the ultraviolet index is 5. This data set is the real-time working environment parameters.

[0036] Query historical records, calculate the average value of historical environment parameter data in the past period of time, determine the historical average working environment parameters, and then calculate the deviation between the real-time working environment parameters and the historical average working environment parameters. The deviation reflects the difference between the real-time working environment parameters and the historical average working environment parameters, which is used to measure whether the current environment has changed significantly from the previous one. According to the deviation between the real-time working environment parameters and the historical average working environment parameters, adjust the preset fusion time range. The larger the deviation, the greater the difference between the current environment and the historical environment, and a longer time period is required to smooth out the difference. Therefore, the size of the fusion time range will increase with the increase of the deviation to more comprehensively reflect environmental changes. Among them, the preset fusion time range refers to the time range of the historical working environment parameters considered in the fusion calculation.

[0037] The adjustment of the fusion time range can be achieved through a specific algorithm. For example, first calculate the difference between the real-time working environment parameters and the historical average working environment parameters, then calculate the inverse of the ratio of the difference to the historical average working environment parameters, and then multiply it by the preset fusion time range to obtain the adjusted fusion time range.

[0038] Collect historical working environment parameters within the fusion time range, process and weight the collected historical working environment parameters, and obtain a working environment parameter that comprehensively considers the current real-time environment and historical environment data, that is, the fused working environment parameter. This fused working environment parameter can more accurately reflect the actual operating environment of the cable and be used for subsequent aging resistance performance prediction. Exemplarily, the fusion calculation can collect historical working environment parameters within the fusion time range through the mean calculation method, combine the current real-time working environment parameters, calculate the mean, and use it as the fused working environment parameter.

[0039] Furthermore, the embodiment of the present application predicts the aging resistance of the cable material after a preset operating time based on the fused working environment parameters and the first auxiliary agent parameters, including: collecting a sample working environment parameter set and a sample auxiliary agent parameter set based on the aging test data of the cable material, and obtaining the aging parameters of the cable material with different sample auxiliary agent parameters after the preset operating time under different sample working environment parameters, and marking the obtained sample aging resistance performance parameter set; using the sample working environment parameter set, the sample auxiliary agent parameter set and the sample aging resistance performance parameter set to train an aging resistance predictor; using the aging resistance predictor to predict the aging resistance of the cable material after the preset operating time for the fused working environment parameters and the first auxiliary agent parameters, to obtain the first aging resistance performance parameter.

[0040] Specifically, the aging test data of cable materials under different working environment parameters and additive parameters are collected, including working environment parameters, additive parameters and performance parameters after aging. The working environment parameters are summarized into a sample working environment parameter set, the additive parameters are summarized into a sample additive parameter set, and the corresponding working environment parameters and additive parameters are annotated for the aging performance parameters to form a complete data set, namely, a sample aging resistance performance parameter set. The sample aging resistance performance parameter set contains the material aging resistance performance data obtained under different working environments and different additive parameters, and records the aging characteristics of the material.

[0041] Use machine learning algorithms, such as linear regression, decision tree, random forest algorithm, neural network, etc., input the collected aging data into the model, train the model, and establish a model that can predict the aging of cable materials according to new working environment conditions and additive combinations, that is, an aging resistance predictor. For example, taking the random forest algorithm as an example, use Python's machine learning library (such as scikit-learn, TensorFlow, PyTorch) for model training. Use 70% of the data as a training set and 30% of the data as a test set. Use the training set to train the model, adjust the model parameters, such as the number of trees, feature selection methods, etc., and use the test set to evaluate the prediction performance of the model until the model obtains satisfactory prediction accuracy on the test set, and obtains a trained aging resistance predictor.

[0042] The fusion working environment parameters and the first additive parameters are used as input, and the trained anti-aging predictor is used for prediction, and the first anti-aging performance parameters of the cable material are output. The anti-aging predictor can quickly determine the anti-aging performance of different additive combinations under different working environments, so as to optimize the additive combination and extend the service life of the cable material.

[0043] Furthermore, the embodiment of the present application performs a strength performance and insulation performance degradation analysis of the cable material according to the first auxiliary agent parameter to obtain a first loss strength performance parameter and a first loss insulation performance parameter, including:

[0044] Collect a set of sample additive parameters, and obtain the strength performance and insulation performance of the cable material under different sample additive parameters, and annotate to obtain a sample loss strength performance parameter set and a sample loss insulation performance parameter set; use the sample additive parameter set, the sample loss strength performance parameter set and the sample loss insulation performance parameter set to train a performance loss analyzer; use the performance loss analyzer to analyze the decline of the strength performance and insulation performance of the cable material prepared by the first additive parameter, and obtain a first loss strength performance parameter and a first loss insulation performance parameter. Specifically, through experiments, the strength performance and insulation performance data of the cable material under different additive parameters are obtained, and the loss strength performance parameters and the loss insulation performance parameters are annotated according to different additive parameters to obtain a sample loss strength performance parameter set and a sample loss insulation performance parameter set. Using machine learning algorithms such as linear regression, support vector regression, neural networks, etc., based on the sample additive parameter set, the sample loss strength performance parameter set and the sample loss insulation performance parameter set, a model is trained to predict the influence of additive parameters on the performance loss of the cable material, and a performance loss analyzer is obtained. The training process of the performance loss analyzer is similar to that of the aging resistance predictor, and will not be repeated here. The first additive parameter is input into the trained performance loss analyzer, and the predicted values ​​of the strength performance and insulation performance of the cable material prepared according to the first additive parameter, namely the first loss strength performance parameter and the first loss insulation performance parameter, are output.

[0045] Further, such as Figure 2 As shown, the embodiment of the present application combines the first auxiliary agent parameters and the fusion working environment parameters to perform strength performance and insulation performance analysis after a preset operation time, and also includes:

[0046] Collect a set of sample additive parameters and a set of sample working environment parameters, obtain the strength performance parameters and insulation performance parameters of cable materials with different sample additive parameters after working in different sample working environment parameters for preset working time, and mark the obtained sample working strength performance parameter set and sample working insulation performance parameter set; use the sample additive parameter set, sample working environment parameter set, sample working strength performance parameter set and sample working insulation performance parameter set to train an operating performance predictor; use the operating performance predictor to predict the strength performance and insulation performance of the first additive parameter and the fused working environment parameter after a preset working time, and obtain a first operating strength performance parameter set and a first operating insulation performance parameter; according to the first operating strength performance parameter set and the first operating insulation performance parameter, combined with the first loss strength performance parameter and the first loss insulation performance parameter, calculate the attenuation amplitude of the strength performance and the insulation performance as the first attenuation strength performance parameter and the first attenuation insulation performance parameter.

[0047] Specifically, through experiments or simulations, the strength performance and insulation performance data of the cable material after the preset operation time under different auxiliary agent parameter sets and working environment parameter sets are obtained, and the sample auxiliary agent parameter set and the sample working environment parameter set are then labeled with the corresponding auxiliary agent parameters and working environment parameters to obtain the sample operation strength performance parameter set and the sample operation insulation performance parameter set. Using machine learning algorithms, such as support vector machines, neural networks, etc., with the sample auxiliary agent parameter set and the sample working environment parameter set as input data, and the current operation strength performance parameter set and the sample operation insulation performance parameter set as output data, the model is trained to predict the operation performance of the cable material. The first auxiliary agent parameter and the fused working environment parameter are input into the operation performance predictor to predict the performance parameters of the cable material after the preset operation time, that is, the first operation strength performance parameter set and the first operation insulation performance parameter. The difference between the first operation strength performance parameter set and the first operation insulation performance parameter and the first loss strength performance parameter and the first loss insulation performance parameter is calculated respectively to determine the attenuation amplitude of the strength performance and the insulation performance, that is, the first attenuation strength performance parameter and the first attenuation insulation performance parameter. These two attenuation performance parameters reflect the performance attenuation of the cable material after the first auxiliary agent parameters and the integrated working environment parameters have been operated for a preset period of time, providing a theoretical basis for the optimization of auxiliary agent parameters and the preparation of cable materials.

[0048] Further, the embodiment of the present application calculates the first aging resistance fitness of the first auxiliary agent parameter according to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, and continues to optimize the auxiliary agent parameters, including: according to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, calculate the first aging resistance fitness of the first auxiliary agent parameter, as follows: Among them, ARF is the aging resistance adaptability, , , , , is the weight, K is a constant, For aging resistance performance parameters, and is the loss strength performance parameter and the loss insulation performance parameter, and

[0049] It is the attenuation strength performance parameter and the attenuation insulation performance parameter.

[0050] Continue to iteratively optimize the additive parameters in the additive parameter space until convergence, and output the additive parameters with the largest aging resistance fitness as the optimal additive parameters. Specifically, according to the qualitative relationship between the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter, the first attenuation insulation performance parameter and the first aging resistance fitness, the aging resistance fitness calculation formula is designed as shown above, and the aging resistance fitness value is finally obtained by multiplying each performance parameter by the corresponding weight and adjusting it according to the constant K. , , , , , are the weights corresponding to each performance parameter, representing the degree of influence of each parameter on the aging resistance fitness. The distribution of weights determines the priority of different performances in the fitness calculation. The constant K is used to adjust the units of various performance parameters to ensure that different parameters have comparable scales. As time goes by, the strength and insulation performance of cable materials gradually decay, and the attenuated strength performance parameter and the attenuated insulation performance parameter gradually increase. Therefore, in this formula, the attenuated strength performance parameter and the attenuated insulation performance parameter are taken inversely. The aging resistance fitness calculation formula comprehensively considers the various properties of the material and comprehensively evaluates the comprehensive performance of the cable material under different additive parameters to obtain reliable evaluation results.

[0051] According to the calculation formula of the above anti-aging fitness, the first anti-aging fitness is calculated. Then, in the additive parameter space, the additive parameters are continuously adjusted through iterative optimization algorithms such as genetic algorithm, particle swarm optimization, gradient descent, etc. to maximize the anti-aging fitness. This process can use Python's optimization library (such as scipy.optimize, deap) to optimize the additive parameters. In the iterative optimization process, the additive parameters and the corresponding anti-aging fitness of each iteration are recorded, and the additive parameters are continuously updated until the algorithm converges, and the additive parameters with the largest anti-aging fitness are output as the optimal additive parameters.

[0052] Taking genetic algorithm as an example, the optimization process is as follows: first, set the number of iterations and optimization algorithm parameters, including population size, crossover probability, mutation probability, etc. Set the number of iterations to 100, the population size to 50, the crossover probability to 0.7, and the mutation probability to 0.01, with the goal of maximizing the aging resistance fitness.

[0053] First, 50 groups of additive parameters are randomly generated, including antioxidant concentration, UV absorber concentration, and stabilizer concentration. The aging resistance fitness is calculated for each group of additive parameters. According to the aging resistance fitness, the additive parameters with better performance are selected to enter the next round. Two groups of additive parameters selected in the previous round are randomly selected for crossover to generate new additive parameters. The newly generated additive parameters are mutated to fine-tune the parameter values. Repeat the above process for 100 rounds until the algorithm converges. The additive parameters with the largest aging resistance fitness are selected as the optimal additive parameters. By using this set of parameters to prepare cable materials, their aging resistance can be significantly improved and their service life can be extended.

[0054] In summary, the method for preparing an aging-resistant cable material provided in the embodiment of the present application has the following technical effects: obtaining the auxiliary agent parameter space for adding auxiliary agents to the cable material, randomly selecting the first auxiliary agent parameter in the auxiliary agent parameter space, combining the fusion working environment parameters of the cable, and performing an aging resistance prediction of the cable material after a preset operation time to obtain the first aging resistance performance parameter. The definition and random selection of the auxiliary agent parameter space in this step ensure the comprehensiveness of the exploration, avoid blind spots based on experience, and provide a broad parameter basis for subsequent performance optimization. The aging resistance prediction takes into account the actual working conditions, ensuring that the evaluated cable performance is more in line with the actual usage scenario, and improving the accuracy of the prediction and the practicality of the auxiliary agent parameter optimization. According to the first auxiliary agent parameter, the strength performance and insulation performance decline analysis of the cable material preparation is performed to obtain the first loss strength performance parameter and the first loss insulation performance parameter. This step clarifies the impact of auxiliary agent addition on the strength and insulation of the cable material, provides specific indicators for parameter optimization, and avoids performance imbalance. Combined with the first additive parameter and the integrated working environment parameter, the strength performance and insulation performance analysis after the preset operation time is carried out, and the first attenuation strength performance parameter and the first attenuation insulation performance parameter are calculated to further refine the performance changes of the cable material under the working environment, ensuring the comprehensiveness and reliability of the additive parameter optimization. According to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, the first aging resistance fitness of the first additive parameter is calculated, and according to the first aging resistance fitness, the additive parameter optimization is continued to obtain the optimal additive parameter, and the aging-resistant cable material is prepared. This step achieves a significant improvement in the anti-aging performance by iteratively searching for the optimal additive parameters, while taking into account other key performances of the cable.

[0055] In general, the embodiment of the present application analyzes the strength performance and insulation performance degradation of the cable material under the first auxiliary agent parameter, as well as the attenuation after the preset operation time, quantifies the specific loss of performance after the auxiliary agent is added, identifies and minimizes the negative impact of the auxiliary agent on the strength and insulation performance, and ensures that the cable meets the anti-aging requirements while the key performance degradation is minimized. At the same time, the working environment parameters of the cable are included in the analysis during the performance prediction process to ensure that the cable material after adding the auxiliary agent can maintain good strength and insulation performance even under harsh or specific environmental conditions, thereby improving the environmental adaptability and reliability of the cable; through the calculation of aging resistance fitness and iterative optimization of auxiliary agent parameters, not only the anti-aging performance of the cable material is optimized, but also the maintenance of strength and insulation performance is taken into account, avoiding the disadvantages of sacrificing other performances by optimizing a single performance, effectively balancing the anti-aging performance of the cable material with strength and insulation performance, achieving a comprehensive improvement of the cable performance, and enhancing the environmental adaptability and service life of the cable. The above description of the disclosed embodiments enables professionals and technicians in this field to implement or use the present application. The various modifications to these embodiments will be obvious to professionals and technicians in this field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Thus, the present application will not be limited to the embodiments shown herein but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for preparing an aging-resistant cable material, characterized in that: The method comprises: Acquire an additive parameter space for adding additives to the cable material, randomly select a first additive parameter in the additive parameter space, and perform an aging resistance prediction of the cable material after a preset operation time in combination with the fusion working environment parameters of the cable to obtain a first aging resistance performance parameter; According to the first auxiliary agent parameter, a strength performance and insulation performance degradation analysis of the cable material is performed to obtain a first loss strength performance parameter and a first loss insulation performance parameter; Combining the first auxiliary agent parameter and the fusion working environment parameter, performing strength performance and insulation performance analysis after a preset operation time, and calculating and obtaining a first attenuation strength performance parameter and a first attenuation insulation performance parameter; According to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, the first aging resistance fitness of the first auxiliary agent parameter is calculated, and according to the first aging resistance fitness, the auxiliary agent parameter optimization is continued to obtain the optimal auxiliary agent parameter, and the aging-resistant cable material is prepared; According to the first auxiliary agent parameter, the strength performance and insulation performance degradation analysis of the cable material is performed to obtain the first loss strength performance parameter and the first loss insulation performance parameter, including: Collect a set of sample additive parameters, and obtain the strength performance and insulation performance of cable materials prepared under different sample additive parameters, and mark the obtained sample loss strength performance parameter set and sample loss insulation performance parameter set; Using the sample auxiliary agent parameter set, the sample loss strength performance parameter set and the sample loss insulation performance parameter set to train a performance loss analyzer; Using the performance loss analyzer, analyzing the decline of strength performance and insulation performance of cable material prepared by the first auxiliary agent parameter to obtain a first loss strength performance parameter and a first loss insulation performance parameter; Combining the first auxiliary agent parameters and the fusion working environment parameters, the strength performance and insulation performance analysis after the preset working time is performed, including: Collect a set of sample additive parameters and a set of sample working environment parameters, obtain strength performance parameters and insulation performance parameters of cable materials with different sample additive parameters after working for preset working time with different sample working environment parameters, and mark the obtained sample working strength performance parameter set and sample working insulation performance parameter set; Using the sample auxiliary agent parameter set, the sample working environment parameter set, the sample operation intensity performance parameter set and the sample operation insulation performance parameter set to train an operation performance predictor; Using the operation performance predictor, predict the strength performance and insulation performance of the first auxiliary agent parameter and the integrated working environment parameter after a preset operation time, and obtain a first operation strength performance parameter set and a first operation insulation performance parameter; According to the first operating strength performance parameter set and the first operating insulation performance parameter, combined with the first loss strength performance parameter and the first loss insulation performance parameter, calculate the attenuation amplitude of the strength performance and the insulation performance as the first attenuation strength performance parameter and the first attenuation insulation performance parameter; According to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, the first aging resistance adaptability of the first auxiliary agent parameter is calculated and the auxiliary agent parameter optimization is continued, including: According to the first aging resistance performance parameter, the first loss strength performance parameter, the first loss insulation performance parameter, the first attenuation strength performance parameter and the first attenuation insulation performance parameter, the first aging resistance adaptability of the first auxiliary agent parameter is calculated as follows: Among them, ARF is the aging resistance adaptability, w1, w2, w3, w4, w5 are weights, K is a constant, R n is the aging resistance performance parameter, F s and J s is the loss strength performance parameter and the loss insulation performance parameter, F d and J d are attenuation strength performance parameters and attenuation insulation performance parameters; Continue to iteratively optimize the additive parameters in the additive parameter space until convergence, and output the additive parameters with the largest aging resistance fitness as the optimal additive parameters.

2. The method for preparing an aging-resistant cable material according to claim 1, characterized in that: Obtain the additive parameter space for adding additives to cable materials, including: Obtaining antioxidant parameter space, ultraviolet absorber parameter space and stabilizer parameter space for adding antioxidant, ultraviolet absorber and stabilizer to cable materials; The antioxidant parameter space, the ultraviolet absorber parameter space and the stabilizer parameter space are combined to obtain the auxiliary agent parameter space.

3. The method for preparing an aging-resistant cable material according to claim 1, characterized in that: The first auxiliary agent parameter is randomly selected in the auxiliary agent parameter space, and the aging resistance prediction of the cable material after the preset operation time is performed in combination with the fusion working environment parameter of the cable to obtain the first aging resistance performance parameter, including: Randomly selecting a first auxiliary agent parameter in the auxiliary agent parameter space; The current working environment parameters of the cable are collected, and the historical working environment parameters are integrated to obtain the integrated working environment parameters of the cable; According to the fusion working environment parameters and the first auxiliary agent parameters, the aging resistance of the cable material after a preset operation time is predicted, and the first aging resistance performance parameters are obtained through processing.

4. The method for preparing an aging-resistant cable material according to claim 3, characterized in that: Collect the current working environment parameters of the cable and integrate the historical working environment parameters, including: Get real-time working environment parameters under real-time time frame; According to the deviation between the real-time working environment parameter and the historical average working environment parameter, the preset fusion time range is adjusted to obtain the fusion time range, wherein the size of the deviation is positively correlated with the size of the fusion time range; The historical working environment parameters within the fusion time range within the real-time time frame history time are fused and calculated to obtain fused working environment parameters.

5. The method for preparing an aging-resistant cable material according to claim 3, characterized in that: According to the fusion working environment parameter and the first auxiliary agent parameter, the aging resistance prediction of the cable material after the preset operation time is performed, including: According to the aging test data of the cable material, a sample working environment parameter set and a sample additive parameter set are collected, and the aging parameters of the cable materials with different sample additive parameters after the preset working time under different sample working environment parameters are obtained, and the sample aging resistance performance parameter set is marked; Using the sample working environment parameter set, the sample additive parameter set and the sample anti-aging performance parameter set to train an anti-aging predictor; The aging resistance predictor is used to predict the aging resistance of the cable material after a preset operation time for the fusion working environment parameter and the first auxiliary agent parameter to obtain the first aging resistance performance parameter.

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