Device and method for testing conductivity of filler for polymer

Abstract

The invention relates to the technical field of conductivity testing, and provides a device and a method for testing the conductivity of a filler for a polymer, which can improve the accuracy and the reliability of testing by integrating data of a plurality of testing methods and constructing a conductivity testing model knowledge base. The device comprises five units, namely, a data acquisition unit, a data processing unit, a model matching unit, a result generation unit and an optimization unit, and a full-automatic conductivity testing process is realized. The change rule of the conductivity of the filler under different conditions can be deeply understood by controlling a variable dynamic test. According to the invention, personal errors are reduced, the test efficiency is improved, the comparability of test data among different laboratories or research institutions is promoted, and powerful support is provided for research and application of the conductivity of the filler for the polymer. The device and the method have a wide application prospect.

Description

Technical Field

[0001] The invention relates to the technical field of conductive performance testing, and in particular to a conductive performance testing device and method for polymer fillers. Background Art

[0002] Fillers for polymers play an important role in the polymer modification process. They are mainly used to enhance the performance of polymers, adjust rheological properties and reduce costs. Polymer fillers are widely used in various polymer products, such as plastics, rubbers and coatings. Adding fillers to plastics can improve their mechanical properties, increase hardness and reduce costs; adding fillers such as carbon black to rubber can improve its physical properties.

[0003] The conductivity of polymer fillers is affected by many factors, such as filler type and properties, filler content and dispersion, polymer matrix properties, and processing conditions and processes. The existing methods for testing the conductivity of polymer fillers and their corresponding devices are mainly the following: Four-probe method and corresponding device testing method: The four-probe method is a commonly used method to accurately measure the resistance of conductive polymer composite materials. The resistance value is calculated by applying current to the sample and measuring the voltage drop on the sample using four probes.

[0004] The four-probe test device usually includes four equally spaced probes that contact the sample surface and apply current through a constant current source. The device can accurately measure and record the voltage and current values, thereby calculating the resistivity.

[0005] Degenerate layer method and corresponding device testing method: The degenerate layer method is used to characterize the conductivity of conductive polymer sheets. It uses a metal layer with lower resistivity as an electrode. The conductive polymer sheet is covered on the metal layer. The conductivity of the sample is calculated by testing the resistance between the electrodes.

[0006] The degenerate layer test device usually includes a metal substrate (such as copper foil or aluminum foil) as an electrode, which is covered with a conductive polymer film to be tested. The electrode is connected to the electrode through a dedicated test fixture or probe to measure the resistance value.

[0007] Two-probe method and corresponding device testing method: The two-probe method is to calculate the resistance or conductivity of the material by applying current to the material and using two probes to measure the voltage drop. Although the accuracy may be slightly lower than the four-probe method, its device is simple and easy to operate.

[0008] The two-probe test setup consists of two probes that make contact with the sample and measure the voltage drop. It is usually connected to a constant current source and a voltmeter to record and calculate the resistance value.

[0009] Hall effect test and corresponding device test method: Hall effect test uses the Hall effect principle to measure the conductivity of materials. When current passes through a conductor placed in a magnetic field, the charge will be deflected by the Lorentz force, generating Hall voltage. By measuring the Hall voltage, key parameters such as carrier concentration and mobility can be inferred.

[0010] The Hall effect test setup consists of a magnetic field generator, current source, voltage measurement device and sample holder. The sample is placed in the magnetic field and a constant current is passed through it while the Hall voltage is measured to evaluate the conductivity.

[0011] Flexible filler conductivity test device test method: The test device for testing the conductivity of flexible filler includes a box for conductivity test, in which a test cavity is provided, wherein a pressurized partition and a counterweight are provided to simulate different pressure environments. The test cavity is also provided with a resistance test line terminal and a water and soil pressure sensor.

[0012] The flexible filler conductivity test device can simulate the conductivity test in a complex engineering environment. It is connected to the resistance tester through the preset resistance test line end to measure the resistance value change under different pressures. At the same time, the water and soil pressure sensor is connected to the pressure test line to monitor and record the pressure changes during the test.

[0013] In summary, there are various existing methods for testing the conductive properties of polymer fillers and their corresponding devices. Each method has its unique advantages and scope of application. When selecting test methods and devices, comprehensive consideration can be made based on specific needs and material properties.

[0014] When conducting the conductivity test of polymer fillers, the accuracy of the test is affected by many factors, such as the type, content, dispersion of the filler, and the properties of the polymer matrix, which makes the analysis of the test data of the conductivity of polymer fillers complicated and requires comprehensive consideration of the impact of various variables on the results. At present, there is a lack of unified testing standards and data processing methods, which makes it difficult to directly compare data between different laboratories or research institutions. This lack of standardization limits the widespread application of conductivity test data. Summary of the invention

[0015] In view of the shortcomings of the prior art, the present invention provides a device and method for testing the conductive properties of polymer fillers, which solves the problem that the accuracy of the conductive properties test of polymer fillers is affected by various factors, making the analysis of the conductive properties test data of polymer fillers complicated, and the influence of various variables on the results needs to be comprehensively considered. At present, there is a lack of unified testing standards and data processing methods, which makes it difficult to directly compare data between different laboratories or research institutions.

[0016] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In a first aspect, the present invention provides a device for testing the conductive properties of a filler for a polymer, comprising: A data acquisition unit, which acquires the test result of the sample detection device on the conductive performance test sample of the polymer filler, and also acquires the conductive performance test device information of the polymer filler, the conductive performance test device information of the polymer filler includes a four-probe method test device, a degenerate layer method test device, a two-probe method test device, a Hall effect test device and an electrochemical impedance spectroscopy test device; A data processing unit pre-processes the test result of the sample detection device on the conductive performance test sample of the polymer filler and the information of the conductive performance test device for the polymer filler to obtain the test result of the sample detection device on the conductive performance test sample of the polymer filler after the pre-processing and the information of the conductive performance test device for the polymer filler after the pre-processing; The conductive performance test model matching unit builds a conductive performance test model knowledge base according to the pre-processed four-probe test device, degenerate layer test device, two-probe test device, Hall effect test device and electrochemical impedance spectroscopy test device, matches the conductive performance test sample of the polymer filler with the conductive performance test model knowledge base by the pre-processed sample detection device, and obtains the conductive performance test model corresponding to the conductive performance test sample of the polymer filler; A test result generating unit matches the conductive performance test model corresponding to the conductive performance test sample of the polymer filler with the conductive performance test device information of the polymer filler, obtains the conductive performance test device of the polymer filler corresponding to the conductive performance test model corresponding to the conductive performance test sample of the polymer filler, and uses the conductive performance test device of the polymer filler to test the conductive performance test sample of the polymer filler to obtain the conductive performance test result of the polymer filler; The test optimization unit retrieves the historical data of the conductive performance test of polymer fillers from the database, optimizes the historical data of the conductive performance test of polymer fillers, the conductive performance test results of polymer fillers and the conductive performance test model corresponding to the conductive performance test samples of polymer fillers through a genetic algorithm, obtains the conductive performance test model corresponding to the optimized conductive performance test sample, and updates the conductive performance test model corresponding to the conductive performance test sample in the conductive performance test model knowledge base.

[0017] Furthermore, the present invention provides a conductive performance test device for a polymer filler, and a conductive performance test mode matching unit, comprising: A preprocessing unit, wherein the preprocessed conductive performance test device information of polymer fillers includes conductive performance test data of polymer fillers by a four-probe method test device, conductive performance test data of polymer fillers by a degenerate layer method test device, conductive performance test data of polymer fillers by a two-probe method test device, conductive performance test data of polymer fillers by a Hall effect test device, and conductive performance test data of polymer fillers by an electrochemical impedance spectroscopy test device; A feature extraction unit extracts resistivity, carrier concentration and mobility features from the test data of the conductive performance of polymer fillers by a four-probe method test device, the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the test data of the conductive performance of polymer fillers by a two-probe method test device, the test data of the conductive performance of polymer fillers by a Hall effect test device and the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device, to obtain a first feature data set, a second feature data set, a third feature data set, a fourth feature data set and a fifth feature data set; A feature matching unit, wherein the first feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a four-probe method test device, the second feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the third feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a two-probe method test device, the fourth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a Hall effect test device, and the fifth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device; The conductive performance test model construction unit trains the neural network model with the first feature data set, the second feature data set, the third feature data set, the fourth feature data set and the fifth feature data set in turn to construct the first conductive performance test model, the second conductive performance test model, the third conductive performance test model, the fourth conductive performance test model and the fifth conductive performance test model.

[0018] Furthermore, the present invention provides a device for testing the conductive properties of a filler for a polymer, and a test result generating unit, comprising: The test result classification unit, the test results of the conductive performance of polymer fillers include single test results and control variable dynamic test results; A single test result generating unit, using a polymer filler conductive performance testing device to test a polymer filler conductive performance test sample according to a preset detection parameter fixed value, to obtain a single test result; The control variable dynamic test result generating unit determines the carbon black content in the preset test parameters as a variable, takes the carbon black dispersion information, temperature, and pressure as constants, generates a sample test parameter group according to the variables and constants in the preset test parameters, and uses a polymer filler conductive property test device to test the polymer filler conductive property test sample according to the variables and constants in the sample test parameter group to obtain the control variable dynamic test result; The test result analysis unit analyzes the single test result and the control variable dynamic test result through the variance analysis method to obtain the data on the influence of the variable on the conductive performance.

[0019] Furthermore, the present invention provides a conductive performance testing device for polymer fillers, a testing optimization unit, comprising: Historical data unit, the historical data of the conductive performance test of fillers for polymers includes the conductive performance test results of different fillers under different test conditions; The optimization target determination unit defines the historical data of the conductive performance test of polymer fillers as the optimization objective function, takes the current conductive performance test results of polymer fillers and the conductive performance test model as input, uses the genetic algorithm to solve the optimization objective function, and optimizes the conductive performance test model through iteration.

[0020] Furthermore, the present invention provides a conductive performance testing device for polymer fillers, a testing optimization unit, comprising: The conductivity test model optimization unit initializes the population, each individual represents a conductivity test model parameter combination, and the parameters include the adjustment of the current conductivity test model or the new conductivity test model parameter combination. The fitness of each individual in the population is evaluated, that is, the difference between its test results and historical data is compared, and individuals with high fitness are selected as parents according to the fitness. The parent individuals are cross-operated to generate new individuals through gene exchange. The new individuals guide the conductivity test model parameter combination, mutate the new individuals, randomly change the parameters in the conductivity test model parameter combination, add new conductivity test model parameter combinations, stop when the conditions are met, such as reaching the number of iterations or the upper limit of fitness improvement, output the individual with the highest fitness as the optimization model, and update the optimized model in the conductivity test model knowledge base.

[0021] In a second aspect, a method for testing the conductive properties of a polymer filler is applied to the conductive properties of a polymer filler testing device, comprising: Step S101, obtaining the test result of the sample detection device on the conductive performance test sample of the polymer filler, and also obtaining the conductive performance test device information of the polymer filler, the conductive performance test device information of the polymer filler includes a four-probe method test device, a degenerate layer method test device, a two-probe method test device, a Hall effect test device and an electrochemical impedance spectroscopy test device; Step S102, preprocessing the test result of the sample detection device on the conductive performance test sample of the polymer filler and the information of the conductive performance test device for the polymer filler to obtain the test result of the sample detection device on the conductive performance test sample of the polymer filler after preprocessing and the information of the conductive performance test device for the polymer filler after preprocessing; Step S103, constructing a conductivity test model knowledge base according to the pre-processed four-probe test device, degenerate layer test device, two-probe test device, Hall effect test device and electrochemical impedance spectroscopy test device, matching the pre-processed sample detection device with the conductivity test model knowledge base for the polymer filler conductivity test sample, and obtaining a conductivity test model corresponding to the polymer filler conductivity test sample; Step S104, matching the conductivity test model corresponding to the conductive performance test sample of the polymer filler with the conductive performance test device information of the polymer filler, obtaining the conductive performance test device for the polymer filler corresponding to the conductive performance test model corresponding to the conductive performance test sample of the polymer filler, and using the conductive performance test device for the polymer filler to test the conductive performance test sample of the polymer filler to obtain the conductive performance test result of the polymer filler; Step S105, retrieve the historical data of the conductive performance test of polymer fillers from the database, optimize the historical data of the conductive performance test of polymer fillers, the conductive performance test results of polymer fillers and the conductive performance test model corresponding to the conductive performance test samples of polymer fillers through a genetic algorithm, obtain the conductive performance test model corresponding to the optimized conductive performance test sample, and update the conductive performance test model corresponding to the conductive performance test sample in the conductive performance test model knowledge base.

[0022] Furthermore, the present invention provides a method for testing the conductive properties of a polymer filler, step S103, comprising: The information of the conductive performance test device for polymer fillers after pretreatment includes the conductive performance test data of polymer fillers by four-probe method test device, the conductive performance test data of polymer fillers by degenerate layer method test device, the conductive performance test data of polymer fillers by two-probe method test device, the conductive performance test data of polymer fillers by Hall effect test device and the conductive performance test data of polymer fillers by electrochemical impedance spectroscopy test device; Sequentially extract resistivity, carrier concentration and mobility features from the test data of the conductive performance of polymer fillers by a four-probe method test device, the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the test data of the conductive performance of polymer fillers by a two-probe method test device, the test data of the conductive performance of polymer fillers by a Hall effect test device and the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device to obtain a first feature data set, a second feature data set, a third feature data set, a fourth feature data set and a fifth feature data set; The first feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the four-probe method test device, the second feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the degenerate layer method test device, the third feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the two-probe method test device, the fourth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the Hall effect test device, and the fifth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the electrochemical impedance spectroscopy test device; The first feature data set, the second feature data set, the third feature data set, the fourth feature data set and the fifth feature data set are used to train the neural network model in turn to construct the first conductivity performance test model, the second conductivity performance test model, the third conductivity performance test model, the fourth conductivity performance test model and the fifth conductivity performance test model.

[0023] Furthermore, the present invention provides a method for testing the conductive properties of a polymer filler, step S104, comprising: The test results of the conductive properties of polymer fillers include single test results and dynamic test results of controlled variables; Using a polymer filler conductivity test device to test a polymer filler conductivity test sample according to a preset fixed value of a detection parameter, and obtaining a single test result; Determine the content of carbon black in the preset detection parameters as a variable, and take the carbon black dispersion information, temperature, and pressure as constants; Generate a sample detection parameter group according to the variables and invariants in the preset detection parameters; Using a conductive performance test device for a polymer filler, testing a conductive performance test sample for a polymer filler according to variables and constants in a sample detection parameter group, and obtaining a dynamic test result of a controlled variable; The single test results and the dynamic test results of the control variables were analyzed by variance analysis method to obtain the data on the influence of the variables on the conductive properties.

[0024] Furthermore, the present invention provides a method for testing the conductive properties of a polymer filler, step S105, comprising: The test history data of conductive properties of polymer fillers include the test results of conductive properties of different fillers under different test conditions; The historical data of the conductive performance test of polymer fillers is defined as the optimization objective function, and the current conductive performance test results of polymer fillers and the conductive performance test model are used as input. The genetic algorithm is used to solve the optimization objective function, and the conductive performance test model is optimized through iteration.

[0025] Furthermore, the present invention provides a method for testing the conductive properties of a polymer filler, step S105, comprising: Initialize the population, each individual represents a conductivity test model parameter combination, the parameters include the adjustment of the current conductivity test model or a new conductivity test model parameter combination; Evaluate the fitness of each individual in the population, that is, compare the difference between its test results and historical data, select individuals with high fitness as parents according to the fitness, perform crossover operations on the parent individuals, generate new individuals through gene exchange, the new individuals guide the conductive performance test model parameter combination, mutate the new individuals, randomly change the parameters in the conductive performance test model parameter combination, and add new conductive performance test model parameter combinations; When the conditions are met, such as reaching the upper limit of the number of iterations or the fitness improvement, the process stops, outputs the individual with the highest fitness as the optimization model, and updates the optimized model in the conductivity test model knowledge base.

[0026] Beneficial effects of the present invention: The present invention significantly reduces the time and error of manual operation through automated and intelligent data processing and testing processes, thereby improving testing efficiency. Secondly, the present invention integrates data from multiple conductivity test methods, intelligently matches test samples with the most appropriate conductivity test model, and optimizes test results using genetic algorithms, thereby enhancing test accuracy.

[0027] In addition, the present invention improves the reliability of the test through data preprocessing, dynamic testing and analysis, and improves the overall intelligence level through intelligent matching and selection, automated processing, etc. Finally, by constructing a standardized conductivity test model knowledge base and using genetic algorithms to continuously optimize and share the conductivity test model, the present invention promotes the comparability of data between different laboratories or research institutions.

[0028] In summary, the present invention has achieved remarkable results in improving test efficiency, accuracy, reliability, intelligence level, and promoting data comparability. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 A schematic diagram of a device provided in an embodiment of the present invention.

[0031] Figure 2 A schematic diagram of a method flow chart provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0033] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0034] See also Figure 1 In a first aspect, the present invention provides a device for testing the conductive properties of a polymer filler, comprising: A data acquisition unit, which acquires the test result of the sample detection device on the conductive performance test sample of the polymer filler, and also acquires the conductive performance test device information of the polymer filler, the conductive performance test device information of the polymer filler includes a four-probe method test device, a degenerate layer method test device, a two-probe method test device, a Hall effect test device and an electrochemical impedance spectroscopy test device; The data acquisition unit is responsible for acquiring the test results of the sample detection device on the conductive performance test sample of the polymer in the conductive performance test device for the polymer, and collecting information about the test device at the same time.

[0035] In terms of obtaining sample test results, the data acquisition unit communicates with the sample testing device to read and record key data generated during the test, such as resistivity, carrier concentration and mobility.

[0036] In addition, the data acquisition unit is also responsible for collecting information on the test device for the conductive properties of polymer fillers. Specifically, it records the type of test device currently used, including a four-probe test device, a degenerate layer test device, a two-probe test device, a Hall effect test device, and an electrochemical impedance spectroscopy test device.

[0037] In terms of implementation, the data acquisition unit may communicate with each detection device through a predefined interface (such as API or serial communication), send requests and receive responses to obtain the required data and status information. Subsequently, the raw data will be parsed and processed to extract key test results and device information, and finally stored for subsequent use.

[0038] In summary, the data acquisition unit ensures accurate acquisition of sample test results and test device information through effective communication, data analysis and processing, and data storage.

[0039] A data processing unit pre-processes the test result of the sample detection device on the conductive performance test sample of the polymer filler and the information of the conductive performance test device for the polymer filler to obtain the test result of the sample detection device on the conductive performance test sample of the polymer filler after the pre-processing and the information of the conductive performance test device for the polymer filler after the pre-processing; Data preprocessing includes the following aspects: First, data cleaning. In this step, erroneous, missing or abnormal data points will be removed or corrected, and the data will be formatted to ensure data consistency and accuracy. Next is data standardization or normalization, which aims to convert features of different dimensions to the same dimension to facilitate unified processing of the model. In addition, the dataset is optimized by selecting features that have a significant impact on the test results and removing irrelevant or redundant features.

[0040] Feature transformation involves encoding features or performing aggregation and splitting operations to generate new features. Data partitioning is to divide the data set into training sets, validation sets, and test sets. At the same time, missing value processing and outlier processing are also indispensable links in data preprocessing, which fill or correct missing values ​​and outliers in the data respectively. Finally, data integration integrates data from different sources to improve the consistency and accuracy of the overall data.

[0041] The conductive performance test model matching unit builds a conductive performance test model knowledge base according to the pre-processed four-probe test device, degenerate layer test device, two-probe test device, Hall effect test device and electrochemical impedance spectroscopy test device, matches the conductive performance test sample of the polymer filler with the conductive performance test model knowledge base by the pre-processed sample detection device, and obtains the conductive performance test model corresponding to the conductive performance test sample of the polymer filler; The test device information of the conductive performance of the pretreated polymer filler includes data of a four-probe method, a degenerate layer method, a two-probe method, a Hall effect test device and an electrochemical impedance spectroscopy test device.

[0042] The feature extraction unit extracts features such as resistivity, carrier concentration, and mobility from the data of each test device in turn, and generates different feature data sets (a first feature data set, a second feature data set, etc.).

[0043] The conductive performance test model construction unit uses these feature data sets to train the neural network model to construct a first conductive performance test model, a second conductive performance test model, etc. for different test methods.

[0044] The conductivity test model matching unit matches the data of the conductive performance test sample of the polymer filler by the pre-processed sample detection device with the constructed conductive performance test model knowledge base. The matching process is based on the data characteristics of the sample, such as resistivity, carrier concentration, mobility, etc., and compares them with the model parameters in the knowledge base.

[0045] According to the matching results, the conductive performance test model that best matches the sample characteristics is selected as the test model corresponding to the sample. The specific process is as follows; Data input: Obtain the test results of the sample by the sample testing device and the test device information.

[0046] Data preprocessing: Clean and standardize the acquired data.

[0047] Feature extraction: Extract key feature data.

[0048] Model training: Use feature data to train the neural network model and generate multiple conductivity performance test models.

[0049] Model matching: Match the preprocessed sample data with the model in the knowledge base.

[0050] Result output: Get the conductivity test model that best matches the sample.

[0051] A test result generating unit matches the conductive performance test model corresponding to the conductive performance test sample of the polymer filler with the conductive performance test device information of the polymer filler, obtains the conductive performance test device of the polymer filler corresponding to the conductive performance test model corresponding to the conductive performance test sample of the polymer filler, and uses the conductive performance test device of the polymer filler to test the conductive performance test sample of the polymer filler to obtain the conductive performance test result of the polymer filler; The test result generation unit first receives the conductive performance test model output by the conductive performance test model matching unit. According to the requirements and characteristics of the test model, the matching unit will select the most suitable test device from the known test device information (including four-probe test device, degenerate layer test device, etc.). The selection process is based on the specific requirements of the test model, such as test accuracy and sample test device, and the test result generation unit will configure the device to perform the conductive performance test.

[0052] The testing device tests the conductive performance test sample of the polymer filler according to the preset detection parameters and the requirements of the conductive performance test model.

[0053] During the test, the device will record key electrical parameters (such as voltage, current, etc.), which will be used for subsequent conductivity performance calculation and analysis.

[0054] Result acquisition: After the test is completed, the test device sends the collected data to the test result generation unit. The test result generation unit processes the data and calculates using the conductivity test model to finally obtain the conductivity test results of the polymer filler, including resistivity, conductivity or other key indicators related to conductivity.

[0055] The test result generation unit outputs the conductivity test results for further analysis and application by the user. The user can perform variance analysis, trend prediction or other statistical processing on the test results as needed to gain a deeper understanding of the conductivity characteristics of the polymer filler. In this way, the test result generation unit ensures the accuracy and reliability of the conductivity test, while improving the automation and intelligence level of the test process.

[0056] The test optimization unit retrieves the historical data of the conductive performance test of polymer fillers from the database, optimizes the historical data of the conductive performance test of polymer fillers, the conductive performance test results of polymer fillers and the conductive performance test model corresponding to the conductive performance test samples of polymer fillers through a genetic algorithm, obtains the conductive performance test model corresponding to the optimized conductive performance test sample, and updates the conductive performance test model corresponding to the conductive performance test sample in the conductive performance test model knowledge base.

[0057] The test optimization unit first retrieves the historical data of the conductive performance test of polymer fillers stored in the database, which includes the conductive performance test results of different fillers under different test conditions.

[0058] The test history data of the conductive performance of polymer fillers is defined as the optimization objective function, and the input data includes the current test results of the conductive performance of polymer fillers and the conductive performance test model. These results and models are based on the current test samples.

[0059] The genetic algorithm is used to solve the optimization objective function. The genetic algorithm is a search heuristic algorithm that simulates natural selection and genetic mechanisms and optimizes the solution to the problem through an iterative process.

[0060] The genetic algorithm includes the following main steps: initializing the population, evaluating fitness, selecting individuals with high fitness as parents, performing crossover operations to generate new individuals, mutating the new individuals to increase diversity, and stopping iteration when the stopping condition is met.

[0061] Model optimization: During the iteration process of the genetic algorithm, the conductivity test model will be continuously adjusted and optimized to minimize the difference between the predicted results and historical data.

[0062] Each generation will update the model parameters according to the fitness of the current population until the stopping condition is met (such as reaching a preset number of iterations or the fitness improvement reaches an upper limit).

[0063] Update the model knowledge base: When the genetic algorithm completes the iteration and outputs the individual with the highest fitness, the individual represents the optimized conductivity performance test model.

[0064] The test optimization unit updates the optimized conductivity test model in the conductivity test model knowledge base so as to be used in future tests.

[0065] By continuously collecting new test data and optimizing the model, the test optimization unit is able to ensure the accuracy and reliability of the conductivity test model while adapting to a wider range of testing needs.

[0066] In this way, the test optimization unit effectively improves the accuracy and reliability of the test of the conductive properties of fillers for polymers and promotes the comparability of data between different laboratories or research institutions.

[0067] Specifically, the present invention provides a conductive performance testing device for a polymer filler, and a conductive performance testing mode matching unit, comprising: A preprocessing unit, wherein the preprocessed conductive performance test device information of polymer fillers includes conductive performance test data of polymer fillers by a four-probe method test device, conductive performance test data of polymer fillers by a degenerate layer method test device, conductive performance test data of polymer fillers by a two-probe method test device, conductive performance test data of polymer fillers by a Hall effect test device, and conductive performance test data of polymer fillers by an electrochemical impedance spectroscopy test device; A feature extraction unit extracts resistivity, carrier concentration and mobility features from the test data of the conductive performance of polymer fillers by a four-probe method test device, the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the test data of the conductive performance of polymer fillers by a two-probe method test device, the test data of the conductive performance of polymer fillers by a Hall effect test device and the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device, to obtain a first feature data set, a second feature data set, a third feature data set, a fourth feature data set and a fifth feature data set; A feature matching unit, wherein the first feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a four-probe method test device, the second feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the third feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a two-probe method test device, the fourth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a Hall effect test device, and the fifth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device; The conductive performance test model construction unit trains the neural network model with the first feature data set, the second feature data set, the third feature data set, the fourth feature data set and the fifth feature data set in turn to construct the first conductive performance test model, the second conductive performance test model, the third conductive performance test model, the fourth conductive performance test model and the fifth conductive performance test model.

[0068] Specifically, the present invention provides a device for testing the conductive properties of a filler for a polymer, and a test result generating unit, comprising: The test result classification unit, the test results of the conductive performance of polymer fillers include single test results and control variable dynamic test results; A single test result generating unit, using a polymer filler conductive performance testing device to test a polymer filler conductive performance test sample according to a preset detection parameter fixed value, to obtain a single test result; The control variable dynamic test result generating unit determines the carbon black content in the preset test parameters as a variable, takes the carbon black dispersion information, temperature, and pressure as constants, generates a sample test parameter group according to the variables and constants in the preset test parameters, and uses a polymer filler conductive property test device to test the polymer filler conductive property test sample according to the variables and constants in the sample test parameter group to obtain the control variable dynamic test result; The test result analysis unit analyzes the single test result and the control variable dynamic test result through the variance analysis method to obtain the data on the influence of the variable on the conductive performance.

[0069] First, the test results were divided into two categories: single test results and controlled variable dynamic test results. Then, using a special test device, the samples were tested under fixed preset test parameters to obtain a single test result. In order to further study the effect of carbon black content on conductive properties, the carbon black content was set as a variable, while other factors such as carbon black dispersion information, temperature, and pressure remained unchanged. Based on these variables and invariants, multiple groups of sample test parameters were generated, and each group of parameters was tested to obtain controlled variable dynamic test results. Finally, the single test results and the controlled variable dynamic test results were compared and analyzed by the variance analysis method, so as to accurately evaluate the specific impact of changes in carbon black content on conductive properties.

[0070] Classification of test results: The test results of the conductive properties of polymer fillers are divided into single test results and controlled variable dynamic test results.

[0071] Generation of a single test result: Using the polymer filler conductivity test device, the sample is tested according to the preset fixed values ​​of the detection parameters. These preset parameters do not change during the test process, so the test results under fixed conditions are obtained, that is, a single test result.

[0072] Determination of control variables: In the preset detection parameters, the content of carbon black is selected as the variable, while other factors such as the dispersion information of carbon black, temperature, and pressure are selected as constants.

[0073] Generation of sample test parameter groups: Generate multiple groups of different sample test parameters based on the variables (carbon black content) and invariants (carbon black dispersion information, temperature, and pressure) in the preset test parameters.

[0074] Generation of dynamic test results of controlled variables: Using a polymer filler conductivity test device, the samples are tested according to the detection parameters of each group of samples (i.e. different carbon black contents, but other conditions remain unchanged) to obtain the conductivity test results at different carbon black contents, i.e. the dynamic test results of controlled variables.

[0075] Variance analysis: The single test results obtained are compared and analyzed with the control variable dynamic test results through variance analysis. This statistical method can help determine the specific impact of changes in carbon black content on conductive properties, thereby deriving the relationship between the variable (carbon black content) and conductive properties.

[0076] Through this testing and analysis method, the present invention can more accurately evaluate the conductive properties of polymer fillers under different conditions, especially the effect of carbon black content on its conductive properties.

[0077] Specifically, the present invention provides a conductive performance testing device for a polymer filler, a testing optimization unit, comprising: Historical data unit, the historical data of the conductive performance test of polymer fillers includes the conductive performance test results of different fillers under different test conditions; The optimization target determination unit defines the historical data of the conductive performance test of polymer fillers as the optimization objective function, takes the current conductive performance test results of polymer fillers and the conductive performance test model as input, uses the genetic algorithm to solve the optimization objective function, and optimizes the conductive performance test model through iteration.

[0078] Specifically, the present invention provides a conductive performance testing device for a polymer filler, a testing optimization unit, comprising: The conductivity test model optimization unit initializes the population, each individual represents a conductivity test model parameter combination, and the parameters include the adjustment of the current conductivity test model or the new conductivity test model parameter combination. The fitness of each individual in the population is evaluated, that is, the difference between its test results and historical data is compared, and individuals with high fitness are selected as parents according to the fitness. The parent individuals are cross-operated to generate new individuals through gene exchange. The new individuals guide the conductivity test model parameter combination, mutate the new individuals, randomly change the parameters in the conductivity test model parameter combination, add new conductivity test model parameter combinations, stop when the conditions are met, such as reaching the number of iterations or the upper limit of fitness improvement, output the individual with the highest fitness as the optimization model, and update the optimized model in the conductivity test model knowledge base.

[0079] See also Figure 2 In a second aspect, a method for testing the conductive properties of a polymer filler is applied to the conductive properties of a polymer filler testing device, comprising: Step S101, obtaining the test result of the sample detection device on the conductive performance test sample of the polymer filler, and also obtaining the conductive performance test device information of the polymer filler, the conductive performance test device information of the polymer filler includes a four-probe method test device, a degenerate layer method test device, a two-probe method test device, a Hall effect test device and an electrochemical impedance spectroscopy test device; Step S102, preprocessing the test result of the sample detection device on the conductive performance test sample of the polymer filler and the information of the conductive performance test device for the polymer filler to obtain the test result of the sample detection device on the conductive performance test sample of the polymer filler after preprocessing and the information of the conductive performance test device for the polymer filler after preprocessing; Step S103, constructing a conductivity test model knowledge base according to the pre-processed four-probe test device, degenerate layer test device, two-probe test device, Hall effect test device and electrochemical impedance spectroscopy test device, matching the pre-processed sample detection device with the conductivity test model knowledge base for the polymer filler conductivity test sample, and obtaining a conductivity test model corresponding to the polymer filler conductivity test sample; Step S104, matching the conductivity test model corresponding to the conductive performance test sample of the polymer filler with the conductive performance test device information of the polymer filler, obtaining the conductive performance test device for the polymer filler corresponding to the conductive performance test model corresponding to the conductive performance test sample of the polymer filler, and using the conductive performance test device for the polymer filler to test the conductive performance test sample of the polymer filler to obtain the conductive performance test result of the polymer filler; Step S105, retrieve the historical data of the conductive performance test of polymer fillers from the database, optimize the historical data of the conductive performance test of polymer fillers, the conductive performance test results of polymer fillers and the conductive performance test model corresponding to the conductive performance test samples of polymer fillers through a genetic algorithm, obtain the conductive performance test model corresponding to the optimized conductive performance test sample, and update the conductive performance test model corresponding to the conductive performance test sample in the conductive performance test model knowledge base.

[0080] Specifically, the present invention provides a method for testing the conductive properties of a polymer filler, step S103, comprising: The information of the conductive performance test device for polymer fillers after pretreatment includes the conductive performance test data of polymer fillers by four-probe method test device, the conductive performance test data of polymer fillers by degenerate layer method test device, the conductive performance test data of polymer fillers by two-probe method test device, the conductive performance test data of polymer fillers by Hall effect test device and the conductive performance test data of polymer fillers by electrochemical impedance spectroscopy test device; Sequentially extract resistivity, carrier concentration and mobility features from the test data of the conductive performance of polymer fillers by a four-probe method test device, the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the test data of the conductive performance of polymer fillers by a two-probe method test device, the test data of the conductive performance of polymer fillers by a Hall effect test device and the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device to obtain a first feature data set, a second feature data set, a third feature data set, a fourth feature data set and a fifth feature data set; The first feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the four-probe method test device, the second feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the degenerate layer method test device, the third feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the two-probe method test device, the fourth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the Hall effect test device, and the fifth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the electrochemical impedance spectroscopy test device; The first feature data set, the second feature data set, the third feature data set, the fourth feature data set and the fifth feature data set are used to train the neural network model in turn to construct the first conductivity performance test model, the second conductivity performance test model, the third conductivity performance test model, the fourth conductivity performance test model and the fifth conductivity performance test model.

[0081] Specifically, the present invention provides a method for testing the conductive properties of a polymer filler, step S104, comprising: The test results of the conductive properties of polymer fillers include single test results and dynamic test results of controlled variables; Using a polymer filler conductivity test device to test a polymer filler conductivity test sample according to a preset fixed value of a detection parameter, and obtaining a single test result; Determine the content of carbon black in the preset detection parameters as a variable, and take the carbon black dispersion information, temperature, and pressure as constants; Generate a sample detection parameter group according to the variables and invariants in the preset detection parameters; Using a conductive performance test device for a polymer filler, testing a conductive performance test sample for a polymer filler according to variables and constants in a sample detection parameter group, and obtaining a dynamic test result of a controlled variable; The single test results and the dynamic test results of the control variables were analyzed by variance analysis method to obtain the data on the influence of the variables on the conductive properties.

[0082] Specifically, the present invention provides a method for testing the conductive properties of a polymer filler, step S105, comprising: The test history data of conductive properties of polymer fillers include the test results of conductive properties of different fillers under different test conditions; The historical data of the conductive performance test of polymer fillers is defined as the optimization objective function, and the current conductive performance test results of polymer fillers and the conductive performance test model are used as input. The genetic algorithm is used to solve the optimization objective function, and the conductive performance test model is optimized through iteration.

[0083] Specifically, the present invention provides a method for testing the conductive properties of a polymer filler, step S105, comprising: Initialize the population, each individual represents a conductivity test model parameter combination, the parameters include the adjustment of the current conductivity test model or a new conductivity test model parameter combination; Evaluate the fitness of each individual in the population, that is, compare the difference between its test results and historical data, select individuals with high fitness as parents according to the fitness, perform crossover operations on the parent individuals, generate new individuals through gene exchange, the new individuals guide the conductive performance test model parameter combination, mutate the new individuals, randomly change the parameters in the conductive performance test model parameter combination, and add new conductive performance test model parameter combinations; When the conditions are met, such as reaching the upper limit of the number of iterations or the fitness improvement, the process stops, outputs the individual with the highest fitness as the optimization model, and updates the optimized model in the conductivity test model knowledge base.

[0084] The technical solution of the present invention solves the accuracy, complexity and standardization problems of the conductive property test of polymer fillers in the following ways: Multi-method data integration and analysis: By integrating data from multiple conductivity test methods and comprehensively considering various information, the accuracy and comprehensiveness of the test can be improved.

[0085] Build a knowledge base of conductive performance test models: match the most appropriate test model according to sample characteristics to reduce errors caused by improper testing methods.

[0086] Intelligent matching and dynamic testing: Intelligently match the test sample with the conductive performance test model and select the most suitable test device. At the same time, it supports dynamic testing of control variables and analyzes the impact of variables on conductive performance.

[0087] Genetic algorithm optimization: Optimize test results through genetic algorithms to improve the accuracy and reliability of the model, making data between different laboratories or research institutions more comparable.

[0088] Automated and intelligent processing: Reduce errors caused by human factors, improve test efficiency and the accuracy of data analysis.

[0089] Real-time update and knowledge base expansion: adapt to a wider range of testing needs and maintain the advancement and accuracy of testing methods.

[0090] In summary, the present invention effectively solves the accuracy, complexity and standardization problems of the test of the conductive properties of polymer fillers, and improves the reliability and comprehensiveness of the test.

[0091] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A device for testing the conductive properties of polymer fillers, characterized in that: include: A data acquisition unit, which acquires the test result of the sample detection device on the conductive performance test sample of the polymer filler, and also acquires the conductive performance test device information of the polymer filler, the conductive performance test device information of the polymer filler includes a four-probe method test device, a degenerate layer method test device, a two-probe method test device, a Hall effect test device and an electrochemical impedance spectroscopy test device; A data processing unit pre-processes the test result of the sample detection device on the conductive performance test sample of the polymer filler and the information of the conductive performance test device for the polymer filler to obtain the test result of the sample detection device on the conductive performance test sample of the polymer filler after the pre-processing and the information of the conductive performance test device for the polymer filler after the pre-processing; The conductive performance test model matching unit builds a conductive performance test model knowledge base according to the pre-processed four-probe test device, degenerate layer test device, two-probe test device, Hall effect test device and electrochemical impedance spectroscopy test device, matches the conductive performance test sample of the polymer filler with the conductive performance test model knowledge base by the pre-processed sample detection device, and obtains the conductive performance test model corresponding to the conductive performance test sample of the polymer filler; A test result generating unit matches the conductive performance test model corresponding to the conductive performance test sample of the polymer filler with the conductive performance test device information of the polymer filler, obtains the conductive performance test device of the polymer filler corresponding to the conductive performance test model corresponding to the conductive performance test sample of the polymer filler, and uses the conductive performance test device of the polymer filler to test the conductive performance test sample of the polymer filler to obtain the conductive performance test result of the polymer filler; The test optimization unit retrieves the historical data of the conductive performance test of polymer fillers from the database, optimizes the historical data of the conductive performance test of polymer fillers, the conductive performance test results of polymer fillers and the conductive performance test model corresponding to the conductive performance test samples of polymer fillers through a genetic algorithm, obtains the conductive performance test model corresponding to the optimized conductive performance test sample, and updates the conductive performance test model corresponding to the conductive performance test sample in the conductive performance test model knowledge base.

2. The conductive performance testing device for polymer fillers according to claim 1, characterized in that: Conductive performance test pattern matching unit, including: A preprocessing unit, wherein the preprocessed conductive performance test device information of polymer fillers includes conductive performance test data of polymer fillers by a four-probe method test device, conductive performance test data of polymer fillers by a degenerate layer method test device, conductive performance test data of polymer fillers by a two-probe method test device, conductive performance test data of polymer fillers by a Hall effect test device, and conductive performance test data of polymer fillers by an electrochemical impedance spectroscopy test device; A feature extraction unit extracts resistivity, carrier concentration and mobility features from the test data of the conductive performance of polymer fillers by a four-probe method test device, the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the test data of the conductive performance of polymer fillers by a two-probe method test device, the test data of the conductive performance of polymer fillers by a Hall effect test device and the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device, to obtain a first feature data set, a second feature data set, a third feature data set, a fourth feature data set and a fifth feature data set; A feature matching unit, wherein the first feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a four-probe method test device, the second feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the third feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a two-probe method test device, the fourth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by a Hall effect test device, and the fifth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device; The conductive performance test model construction unit trains the neural network model with the first feature data set, the second feature data set, the third feature data set, the fourth feature data set and the fifth feature data set in turn to construct the first conductive performance test model, the second conductive performance test model, the third conductive performance test model, the fourth conductive performance test model and the fifth conductive performance test model.

3. The conductive performance testing device for polymer fillers according to claim 1, characterized in that: The test result generating unit includes: The test result classification unit, the test results of the conductive performance of polymer fillers include single test results and control variable dynamic test results; A single test result generating unit, using a polymer filler conductive performance testing device to test a polymer filler conductive performance test sample according to a preset detection parameter fixed value, to obtain a single test result; The control variable dynamic test result generating unit determines the carbon black content in the preset test parameters as a variable, takes the carbon black dispersion information, temperature, and pressure as constants, generates a sample test parameter group according to the variables and constants in the preset test parameters, and uses a polymer filler conductive property test device to test the polymer filler conductive property test sample according to the variables and constants in the sample test parameter group to obtain the control variable dynamic test result; The test result analysis unit analyzes the single test result and the control variable dynamic test result through the variance analysis method to obtain the data on the influence of the variable on the conductive performance.

4. The conductive performance testing device for polymer fillers according to claim 1, characterized in that: Test optimization unit, including: Historical data unit, the historical data of the conductive performance test of polymer fillers includes the conductive performance test results of different fillers under different test conditions; The optimization target determination unit defines the historical data of the conductive performance test of polymer fillers as the optimization objective function, takes the current conductive performance test results of polymer fillers and the conductive performance test model as input, uses the genetic algorithm to solve the optimization objective function, and optimizes the conductive performance test model through iteration.

5. The conductive performance testing device for polymer fillers according to claim 5, characterized in that: Test optimization unit, including: The conductivity test model optimization unit initializes the population, each individual represents a conductivity test model parameter combination, and the parameters include the adjustment of the current conductivity test model or the new conductivity test model parameter combination. The fitness of each individual in the population is evaluated, that is, the difference between its test results and historical data is compared, and individuals with high fitness are selected as parents according to the fitness. The parent individuals are cross-operated to generate new individuals through gene exchange. The new individuals guide the conductivity test model parameter combination, mutate the new individuals, randomly change the parameters in the conductivity test model parameter combination, add new conductivity test model parameter combinations, stop when the conditions are met, such as reaching the number of iterations or the upper limit of fitness improvement, output the individual with the highest fitness as the optimization model, and update the optimized model in the conductivity test model knowledge base.

6. A method for testing the electrical conductivity of a filler for a polymer, applied to the device for testing the electrical conductivity of a filler for a polymer as claimed in any one of claims 1 to 5, characterized in that: include: Step S101, obtaining the test result of the sample detection device on the conductive performance test sample of the polymer filler, and also obtaining the conductive performance test device information of the polymer filler, the conductive performance test device information of the polymer filler includes a four-probe method test device, a degenerate layer method test device, a two-probe method test device, a Hall effect test device and an electrochemical impedance spectroscopy test device; Step S102, preprocessing the test result of the sample detection device on the conductive performance test sample of the polymer filler and the information of the conductive performance test device for the polymer filler to obtain the test result of the sample detection device on the conductive performance test sample of the polymer filler after preprocessing and the information of the conductive performance test device for the polymer filler after preprocessing; Step S103, constructing a conductivity test model knowledge base according to the pre-processed four-probe test device, degenerate layer test device, two-probe test device, Hall effect test device and electrochemical impedance spectroscopy test device, matching the pre-processed sample detection device with the conductivity test model knowledge base for the polymer filler conductivity test sample, and obtaining a conductivity test model corresponding to the polymer filler conductivity test sample; Step S104, matching the conductivity test model corresponding to the conductive performance test sample of the polymer filler with the conductive performance test device information of the polymer filler, obtaining the conductive performance test device for the polymer filler corresponding to the conductive performance test model corresponding to the conductive performance test sample of the polymer filler, and using the conductive performance test device for the polymer filler to test the conductive performance test sample of the polymer filler to obtain the conductive performance test result of the polymer filler; Step S105, retrieve the historical data of the conductive performance test of polymer fillers from the database, optimize the historical data of the conductive performance test of polymer fillers, the conductive performance test results of polymer fillers and the conductive performance test model corresponding to the conductive performance test samples of polymer fillers through a genetic algorithm, obtain the conductive performance test model corresponding to the optimized conductive performance test sample, and update the conductive performance test model corresponding to the conductive performance test sample in the conductive performance test model knowledge base.

7. The method for testing the conductive properties of polymer fillers according to claim 6, characterized in that: Step S103 includes: The information of the conductive performance test device for polymer fillers after pretreatment includes the conductive performance test data of polymer fillers by four-probe method test device, the conductive performance test data of polymer fillers by degenerate layer method test device, the conductive performance test data of polymer fillers by two-probe method test device, the conductive performance test data of polymer fillers by Hall effect test device and the conductive performance test data of polymer fillers by electrochemical impedance spectroscopy test device; Sequentially extract resistivity, carrier concentration and mobility features from the test data of the conductive performance of polymer fillers by a four-probe method test device, the test data of the conductive performance of polymer fillers by a degenerate layer method test device, the test data of the conductive performance of polymer fillers by a two-probe method test device, the test data of the conductive performance of polymer fillers by a Hall effect test device and the test data of the conductive performance of polymer fillers by an electrochemical impedance spectroscopy test device to obtain a first feature data set, a second feature data set, a third feature data set, a fourth feature data set and a fifth feature data set; The first feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the four-probe method test device, the second feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the degenerate layer method test device, the third feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the two-probe method test device, the fourth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the Hall effect test device, and the fifth feature data set is used to summarize the data features of the test data of the conductive performance of polymer fillers by the electrochemical impedance spectroscopy test device; The first feature data set, the second feature data set, the third feature data set, the fourth feature data set and the fifth feature data set are used to train the neural network model in turn to construct the first conductivity performance test model, the second conductivity performance test model, the third conductivity performance test model, the fourth conductivity performance test model and the fifth conductivity performance test model.

8. The method for testing the conductive properties of polymer fillers according to claim 6, characterized in that: Step S104 includes: The test results of the conductive properties of polymer fillers include single test results and dynamic test results of controlled variables; Using a polymer filler conductivity test device to test a polymer filler conductivity test sample according to a preset fixed value of a detection parameter, and obtaining a single test result; Determine the content of carbon black in the preset detection parameters as a variable, and take the carbon black dispersion information, temperature, and pressure as constants; Generate a sample detection parameter group according to the variables and invariants in the preset detection parameters; Using a conductive performance test device for a polymer filler, testing a conductive performance test sample for a polymer filler according to variables and constants in a sample detection parameter group, and obtaining a dynamic test result of a controlled variable; The single test results and the dynamic test results of the control variables were analyzed by variance analysis method to obtain the data on the influence of the variables on the conductive properties.

9. The method for testing the conductive properties of polymer fillers according to claim 6, characterized in that: Step S105 includes: The test history data of conductive properties of polymer fillers include the test results of conductive properties of different fillers under different test conditions; The historical data of the conductive performance test of polymer fillers is defined as the optimization objective function, and the current conductive performance test results of polymer fillers and the conductive performance test model are used as input. The genetic algorithm is used to solve the optimization objective function, and the conductive performance test model is optimized through iteration.

10. The method for testing the conductive properties of polymer fillers according to claim 9, characterized in that: Step S105 includes: Initialize the population, each individual represents a conductivity test model parameter combination, the parameters include the adjustment of the current conductivity test model or a new conductivity test model parameter combination; Evaluate the fitness of each individual in the population, that is, compare the difference between its test results and historical data, select individuals with high fitness as parents according to the fitness, perform crossover operations on the parent individuals, generate new individuals through gene exchange, the new individuals guide the conductive performance test model parameter combination, mutate the new individuals, randomly change the parameters in the conductive performance test model parameter combination, and add new conductive performance test model parameter combinations; When the conditions are met, such as reaching the upper limit of the number of iterations or the fitness improvement, the process stops, outputs the individual with the highest fitness as the optimization model, and updates the optimized model in the conductivity test model knowledge base.

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