Method and equipment for testing resistance of high polymer material

Abstract

The invention relates to the technical field of material detection, and provides a high polymer material resistance testing method and equipment, and the method comprises the steps: obtaining electromagnetic response data information of a high polymer material; obtaining complex dielectric constant information of the high polymer material based on the electromagnetic response data information; acquiring intrinsic impedance information of the high polymer material based on the complex dielectric constant information, and acquiring surface impedance information of the high polymer material based on the intrinsic impedance information; and generating a target equivalent circuit model of the high polymer material based on the surface impedance information, and obtaining a resistance value of the high polymer material based on the target equivalent circuit model. According to the method, the non-contact measurement of the resistance test of the high polymer material is realized, the test error caused by poor contact is avoided, and the accuracy and the reliability of the test result are improved.

Description

Technical Field

[0001] The present application relates to the technical field of material detection, and in particular to a method and device for testing the resistance of polymer materials. Background Art

[0002] Polymer materials are widely used in electronics, electrical engineering, aerospace and other fields due to their excellent physical and chemical properties. In these applications, the resistance characteristics of the material are one of the important parameters affecting its performance and reliability. Accurately measuring the resistance value of polymer materials is of great significance for the design, optimization and application of materials.

[0003] Traditional polymer resistance measurement methods mainly include DC four-probe method, AC impedance method and contact resistance measurement. However, many polymer materials have smooth surfaces or special surface properties. These measurement methods can easily lead to poor contact between polymer materials and electrodes during the measurement process, affecting the measurement accuracy. Summary of the invention

[0004] The present application provides a polymer material resistance testing method and device to solve the problems raised by the above background technology.

[0005] In a first aspect, the present application provides a method for testing the resistance of a polymer material, comprising: Performing electromagnetic excitation on the polymer material multiple times at a preset frequency step within a frequency range of [1 MHz, 10 GHz], and obtaining the transmission coefficient of the polymer material under each electromagnetic excitation to obtain electromagnetic response data information of the polymer material; Acquire the complex dielectric constant information of the polymer material based on the electromagnetic response data information; Acquire intrinsic impedance information of the polymer material based on the complex dielectric constant information, and acquire surface impedance information of the polymer material based on the intrinsic impedance information; A target equivalent circuit model of the polymer material is generated based on the surface impedance information, and a resistance value of the polymer material is acquired based on the target equivalent circuit model.

[0006] In a possible implementation manner, the acquiring the complex dielectric constant information of the polymer material based on the electromagnetic response data information includes: For each electromagnetic excitation, the complex refractive index corresponding to the electromagnetic excitation is obtained based on the transmission coefficient corresponding to the electromagnetic excitation, and the complex dielectric constant corresponding to the electromagnetic excitation is obtained based on the complex refractive index; each of the complex dielectric constants constitutes the complex dielectric constant information.

[0007] In a possible implementation manner, the acquiring the intrinsic impedance information of the polymer material based on the complex dielectric constant information includes: Obtaining the complex magnetic permeability of the polymer material; For each electromagnetic excitation, an intrinsic impedance corresponding to the electromagnetic excitation is determined based on the complex dielectric constant and the complex magnetic permeability corresponding to the electromagnetic excitation; each of the intrinsic impedances constitutes the intrinsic impedance information.

[0008] In a possible implementation manner, the acquiring the surface impedance information of the polymer material based on the intrinsic impedance information includes: Obtaining the complex magnetic permeability of the polymer material; For each electromagnetic excitation, determining the complex propagation constant corresponding to the polymer material under the electromagnetic excitation based on the complex dielectric constant corresponding to the electromagnetic excitation, the electromagnetic wave frequency corresponding to the electromagnetic excitation, and the complex magnetic permeability; For each electromagnetic excitation, the surface impedance corresponding to the electromagnetic excitation is determined based on the complex propagation constant corresponding to the electromagnetic excitation, the intrinsic impedance corresponding to the electromagnetic excitation and the thickness of the polymer material in the electromagnetic excitation direction; each of the surface impedances constitutes the surface impedance information.

[0009] In a possible implementation manner, generating a target equivalent circuit model of the polymer material based on the surface impedance information includes: For each electromagnetic excitation, constructing a corresponding relationship between the electromagnetic wave frequency corresponding to the electromagnetic excitation and the surface impedance; Constructing a first change curve and a second change curve based on each of the corresponding relationships; wherein the first change curve is a curve showing that the real part of the surface impedance changes with the frequency of the electromagnetic wave, and the second change curve is a curve showing that the imaginary part of the surface impedance changes with the frequency of the electromagnetic wave; Inputting the first change curve and the second change curve into a preset equivalent circuit selection model to obtain an initial equivalent circuit model corresponding to the polymer material; Based on the corresponding relationships, various parameters of the initial equivalent circuit model are solved to obtain the target equivalent circuit model; wherein the various parameters include the resistance value of the polymer material.

[0010] In a possible implementation, solving the parameters of the initial equivalent circuit model based on the corresponding relationships to obtain the target equivalent circuit model includes: Dividing each of the corresponding relationships into a training set and an optimization set; Training the initial equivalent circuit model based on the training set to obtain an intermediate equivalent circuit model; The parameters of the intermediate equivalent circuit model are optimized based on the optimization set to obtain the target equivalent circuit model.

[0011] In a possible implementation, the optimizing the parameters of the intermediate equivalent circuit model based on the optimization set to obtain the target equivalent circuit model includes: For each corresponding relationship in the optimization set, input the electromagnetic wave frequency in the corresponding relationship into the intermediate equivalent circuit model to obtain a surface predicted impedance, and calculate the absolute value of the difference between the surface predicted impedance and the surface impedance in the corresponding relationship; Taking the reciprocal of the maximum absolute value among the absolute values ​​as the fitness of the intermediate equivalent circuit model, and comparing the fitness with a preset fitness; If the fitness is not greater than the preset fitness; Mutating the parameters of the intermediate equivalent circuit model based on a preset mutation algorithm to obtain a first generation population; Calculate the first individual fitness of each first-generation individual in the first-generation population respectively; Determine whether the maximum first individual fitness among the first individual fitnesses is greater than the preset fitness; If not, the first-generation individual corresponding to the maximum first-generation individual fitness is used as the target first-generation individual; Based on a preset mutation algorithm, the target first-generation individuals are mutated to obtain a second-generation population; Calculate the second individual fitness of each second generation individual in the second generation population respectively; Determine whether the maximum second individual fitness among the second individual fitnesses is greater than the preset fitness; If not, taking the second-generation individual corresponding to the maximum second-individual fitness as the target second-generation individual, iterating the steps after taking the first-generation individual corresponding to the maximum first-individual fitness as the target first-generation individual, until the target population is obtained; wherein the maximum target individual fitness in the target population is greater than the preset fitness; The target individual corresponding to the maximum target individual fitness is used to update the parameters of the intermediate equivalent circuit model to obtain the target equivalent circuit model.

[0012] In a second aspect, the present application provides a polymer material resistance testing device, comprising: The first acquisition module is used to perform electromagnetic excitation on the polymer material multiple times at a preset frequency step within a frequency range of [1 MHz, 10 GHz], and obtain the transmission coefficient corresponding to the polymer material under each electromagnetic excitation to obtain electromagnetic response data information of the polymer material; A second acquisition module, used for acquiring complex dielectric constant information of the polymer material based on the electromagnetic response data information; A third acquisition module, configured to acquire intrinsic impedance information of the polymer material based on the complex dielectric constant information, and acquire surface impedance information of the polymer material based on the intrinsic impedance information; A generating module is used to generate a target equivalent circuit model of the polymer material based on the surface impedance information, and to obtain a resistance value of the polymer material based on the target equivalent circuit model.

[0013] The present application provides a method and device for testing the resistance of polymer materials. The method includes: performing electromagnetic excitation on the polymer material multiple times at a preset frequency step within the frequency range of [1MHz, 10GHz], and obtaining the transmission coefficient corresponding to the polymer material under each electromagnetic excitation, and obtaining the electromagnetic response data information of the polymer material; obtaining the complex dielectric constant information of the polymer material based on the electromagnetic response data information; obtaining the intrinsic impedance information of the polymer material based on the complex dielectric constant information, and obtaining the surface impedance information of the polymer material based on the intrinsic impedance information; generating a target equivalent circuit model of the polymer material based on the surface impedance information, and obtaining the resistance value of the polymer material based on the target equivalent circuit model. This method, on the one hand, realizes non-contact measurement of the resistance test of the polymer material, avoids the test error caused by poor contact, and improves the accuracy and reliability of the test results. On the other hand, by generating a target equivalent circuit model based on the surface impedance information, the resistance value and other circuit parameters of the material are obtained. This method not only provides the resistance value, but also reveals the electrical behavior characteristics of the material through the circuit model, providing an important reference for material performance analysis and circuit design. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0015] Figure 1 A schematic diagram of a process for testing the resistance of a polymer material provided in an embodiment of the present application; Figure 2 A schematic block diagram of the structure of a polymer material resistance testing device provided in an embodiment of the present application; Figure 3 A schematic block diagram of the structure of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0017] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0018] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0019] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0020] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0021] See also Figure 1 , Figure 1 A schematic diagram of a polymer material resistance testing method provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the polymer material resistance testing method provided in the embodiment of the present application includes steps S1 to S4.

[0022] Step S1, electromagnetically excite the polymer material multiple times in a frequency range of [1 MHz, 10 GHz] at a preset frequency step, and obtain the transmission coefficient of the polymer material under each electromagnetic excitation to obtain electromagnetic response data information of the polymer material.

[0023] Specifically, an automated dielectric spectrometer is used to perform electromagnetic excitation on a polymer material multiple times in a frequency range of [1 MHz, 10 GHz] with a preset frequency step. Each time the polymer material is electromagnetically excited, a transmission coefficient of the polymer material is obtained, and the transmission coefficient is the ratio of the transmission frequency after the electromagnetic wave penetrates the polymer material to the original frequency of the electromagnetic wave. The frequency step is no greater than 10 Hz. It can be understood that multiple transmission coefficients of the polymer material from low-frequency electromagnetic waves to high-frequency electromagnetic waves can be obtained through step S1.

[0024] Step S2: acquiring complex dielectric constant information of the polymer material based on the electromagnetic response data information.

[0025] Specifically, for each electromagnetic excitation, the complex refractive index corresponding to the electromagnetic excitation is obtained based on the transmission coefficient corresponding to the electromagnetic excitation, and the complex dielectric constant corresponding to the electromagnetic excitation is obtained based on the complex refractive index; each of the complex dielectric constants constitutes the complex dielectric constant information. Specifically, the complex refractive index is calculated using formula (1), and the complex dielectric constant is calculated using formula (2).

[0026] (1) in, is the complex refractive index; d is the thickness of the polymer material in the electromagnetic excitation direction; c is the speed of light; f is the frequency of the electromagnetic wave; T is the projection coefficient; j Represents the imaginary unit.

[0027] (2) in, is the complex dielectric constant.

[0028] Step S3: acquiring intrinsic impedance information of the polymer material based on the complex dielectric constant information, and acquiring surface impedance information of the polymer material based on the intrinsic impedance information.

[0029] Specifically, the step of acquiring the intrinsic impedance information of the polymer material based on the complex dielectric constant information comprises the following steps: Obtaining the complex magnetic permeability of the polymer material; it should be noted that the method for obtaining the complex magnetic permeability of the polymer material is a prior art and will not be described in detail here; For each electromagnetic excitation, the intrinsic impedance corresponding to the electromagnetic excitation is determined based on the complex dielectric constant and the complex magnetic permeability corresponding to the electromagnetic excitation; each of the intrinsic impedances constitutes the intrinsic impedance information. Specifically, the intrinsic impedance is determined using formula (3); (3) in, is the intrinsic impedance, is the complex magnetic permeability of the polymer material, Z 0=377Ω is the wave impedance in vacuum.

[0030] The step of obtaining the surface impedance information of the polymer material based on the intrinsic impedance information comprises the following steps: Obtaining the complex magnetic permeability of the polymer material; For each electromagnetic excitation, the complex propagation constant corresponding to the polymer material under the electromagnetic excitation is determined based on the complex dielectric constant corresponding to the electromagnetic excitation, the electromagnetic wave frequency corresponding to the electromagnetic excitation, and the complex magnetic permeability; specifically, the complex propagation constant is determined using formula (4); (4) in, is the complex propagation constant; For each electromagnetic excitation, the surface impedance corresponding to the electromagnetic excitation is determined based on the complex propagation constant corresponding to the electromagnetic excitation, the intrinsic impedance corresponding to the electromagnetic excitation and the thickness of the polymer material in the electromagnetic excitation direction; each of the surface impedances constitutes the surface impedance information; specifically, the surface impedance is determined using formula (5); (5) Step S4: generating a target equivalent circuit model of the polymer material based on the surface impedance information, and acquiring a resistance value of the polymer material based on the target equivalent circuit model.

[0031] Specifically, generating a target equivalent circuit model of the polymer material based on the surface impedance information comprises the following steps: For each electromagnetic excitation, constructing a corresponding relationship between the electromagnetic wave frequency corresponding to the electromagnetic excitation and the surface impedance; Constructing a first change curve and a second change curve based on each of the corresponding relationships; wherein the first change curve is a curve showing that the real part of the surface impedance changes with the frequency of the electromagnetic wave, and the second change curve is a curve showing that the imaginary part of the surface impedance changes with the frequency of the electromagnetic wave; Inputting the first change curve and the second change curve into a preset equivalent circuit selection model to obtain an initial equivalent circuit model corresponding to the polymer material; wherein the equivalent circuit selection model is a pre-trained neural network model; Based on the corresponding relationships, various parameters of the initial equivalent circuit model are solved to obtain the target equivalent circuit model; wherein the various parameters include the resistance value of the polymer material.

[0032] Wherein, solving each parameter of the initial equivalent circuit model based on each corresponding relationship to obtain the target equivalent circuit model includes the following steps: Dividing each of the corresponding relationships into a training set and an optimization set; Training the initial equivalent circuit model based on the training set to obtain an intermediate equivalent circuit model; The parameters of the intermediate equivalent circuit model are optimized based on the optimization set to obtain the target equivalent circuit model.

[0033] The step of optimizing the parameters of the intermediate equivalent circuit model based on the optimization set to obtain the target equivalent circuit model comprises the following steps: For each corresponding relationship in the optimization set, input the electromagnetic wave frequency in the corresponding relationship into the intermediate equivalent circuit model to obtain a surface predicted impedance, and calculate the absolute value of the difference between the surface predicted impedance and the surface impedance in the corresponding relationship; Taking the reciprocal of the maximum absolute value among the absolute values ​​as the fitness of the intermediate equivalent circuit model, and comparing the fitness with a preset fitness; If the fitness is not greater than the preset fitness; Mutating the parameters of the intermediate equivalent circuit model based on a preset mutation algorithm to obtain a first generation population; Calculate the first individual fitness of each first-generation individual in the first-generation population respectively; specifically, for each first-generation individual, use the first-generation individual to update the parameters of the intermediate equivalent circuit model to obtain an updated intermediate equivalent circuit model; for each corresponding relationship in the optimization set, input the electromagnetic wave frequency in the corresponding relationship into the updated intermediate equivalent circuit model to obtain a surface prediction impedance, and calculate the absolute value of the difference between the surface prediction impedance and the surface impedance in the corresponding relationship; take the reciprocal of the maximum absolute value of each absolute value as the first individual fitness of the first-generation individual; Determine whether the maximum first individual fitness among the first individual fitnesses is greater than the preset fitness; If not, the first-generation individual corresponding to the maximum first-generation individual fitness is used as the target first-generation individual; Based on a preset mutation algorithm, the target first-generation individuals are mutated to obtain a second-generation population; The second individual fitness of each second-generation individual in the second-generation population is calculated respectively; specifically, for each second-generation individual, the parameters of the intermediate equivalent circuit model are updated using the second-generation individual to obtain an updated intermediate equivalent circuit model; for each corresponding relationship in the optimization set, the electromagnetic wave frequency in the corresponding relationship is input into the updated intermediate equivalent circuit model to obtain a surface prediction impedance, and the absolute value of the difference between the surface prediction impedance and the surface impedance in the corresponding relationship is calculated; the reciprocal of the maximum absolute value of each absolute value is taken as the second individual fitness of the second-generation individual; Determine whether the maximum second individual fitness among the second individual fitnesses is greater than the preset fitness; If not, taking the second-generation individual corresponding to the maximum second-individual fitness as the target second-generation individual, iterating the steps after taking the first-generation individual corresponding to the maximum first-individual fitness as the target first-generation individual, until the target population is obtained; wherein the maximum target individual fitness in the target population is greater than the preset fitness; The target individual corresponding to the maximum target individual fitness is used to update the parameters of the intermediate equivalent circuit model to obtain the target equivalent circuit model.

[0034] It should be noted that the above-mentioned individual refers to a set of values ​​of various parameters of the intermediate equivalent circuit model.

[0035] The method provided in this embodiment, on the one hand, realizes non-contact measurement of polymer material resistance test, avoids test errors caused by poor contact, and improves the accuracy and reliability of test results. On the other hand, by generating a target equivalent circuit model based on surface impedance information, the resistance value and other circuit parameters of the material are obtained. This method not only provides the resistance value, but also reveals the electrical behavior characteristics of the material through the circuit model, providing an important reference for material performance analysis and circuit design.

[0036] See also Figure 2 , Figure 2 The structure schematic block diagram of the polymer material resistance testing device 100 provided in the embodiment of the present application is as follows: Figure 2 As shown, the polymer material resistance testing device 100 provided in the embodiment of the present application includes: The first acquisition module 110 is used to perform electromagnetic excitation on the polymer material multiple times in a frequency range of [1 MHz, 10 GHz] at a preset frequency step, and obtain the transmission coefficient corresponding to the polymer material under each electromagnetic excitation to obtain electromagnetic response data information of the polymer material.

[0037] The second acquisition module 120 is used to acquire the complex dielectric constant information of the polymer material based on the electromagnetic response data information.

[0038] The third acquisition module 130 is used to acquire the intrinsic impedance information of the polymer material based on the complex dielectric constant information, and acquire the surface impedance information of the polymer material based on the intrinsic impedance information.

[0039] The generating module 140 is used to generate a target equivalent circuit model of the polymer material based on the surface impedance information, and obtain the resistance value of the polymer material based on the target equivalent circuit model.

[0040] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process of the equipment and each module described above can refer to the corresponding process in the aforementioned polymer material resistance testing method embodiment, and will not be repeated here.

[0041] The polymer material resistance testing device 100 provided in the above embodiment can be implemented in the form of a computer program. The computer program can be used in Figure 3 The system is run on the terminal device 200 shown.

[0042] See also Figure 3 , Figure 3 The present invention provides a schematic block diagram of the structure of a terminal device 200 according to an embodiment of the present application. The terminal device 200 includes a processor 201 and a memory 202. The processor 201 and the memory 202 are connected via a device bus 203, wherein the memory 202 may include a non-volatile storage medium and an internal memory.

[0043] The non-volatile storage medium can store a computer program. The computer program includes program instructions, and when the program instructions are executed by the processor 201, the processor 201 can execute any of the above-mentioned polymer material resistance testing methods.

[0044] The processor 201 is used to provide computing and control capabilities to support the operation of the entire terminal device 200.

[0045] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor 201, the processor 201 can execute any of the above-mentioned polymer material resistance testing methods.

[0046] Those skilled in the art will understand that Figure 3The structure shown in the figure is only a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the terminal device 200 involved in the scheme of the present application. The specific terminal device 200 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0047] It should be understood that the processor 201 may be a central processing unit (CPU), and the processor 201 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0048] In some embodiments, the processor 201 is used to run a computer program stored in the memory to implement the following steps: Performing electromagnetic excitation on the polymer material multiple times at a preset frequency step within a frequency range of [1 MHz, 10 GHz], and obtaining the transmission coefficient of the polymer material under each electromagnetic excitation to obtain electromagnetic response data information of the polymer material; Acquire the complex dielectric constant information of the polymer material based on the electromagnetic response data information; Acquire intrinsic impedance information of the polymer material based on the complex dielectric constant information, and acquire surface impedance information of the polymer material based on the intrinsic impedance information; A target equivalent circuit model of the polymer material is generated based on the surface impedance information, and a resistance value of the polymer material is acquired based on the target equivalent circuit model.

[0049] It should be noted that those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the terminal device 200 described above can refer to the corresponding process of the aforementioned polymer material resistance testing method, and will not be repeated here.

[0050] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by one or more processors, the one or more processors implement the polymer material resistance testing method provided in the embodiment of the present application.

[0051] The computer-readable storage medium may be an internal storage unit of the terminal device 200 in the aforementioned embodiment, such as a hard disk or memory of the terminal device 200. The computer-readable storage medium may also be an external storage device of the terminal device 200, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped with the terminal device 200.

[0052] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for testing the resistance of polymer materials, characterized in that: include: Performing electromagnetic excitation on the polymer material multiple times at a preset frequency step within a frequency range of [1 MHz, 10 GHz], and obtaining the transmission coefficient of the polymer material under each electromagnetic excitation to obtain electromagnetic response data information of the polymer material; Acquire the complex dielectric constant information of the polymer material based on the electromagnetic response data information; Acquire intrinsic impedance information of the polymer material based on the complex dielectric constant information, and acquire surface impedance information of the polymer material based on the intrinsic impedance information; A target equivalent circuit model of the polymer material is generated based on the surface impedance information, and a resistance value of the polymer material is acquired based on the target equivalent circuit model.

2. The polymer material resistance testing method according to claim 1, characterized in that: The step of acquiring the complex dielectric constant information of the polymer material based on the electromagnetic response data information includes: For each electromagnetic excitation, the complex refractive index corresponding to the electromagnetic excitation is obtained based on the transmission coefficient corresponding to the electromagnetic excitation, and the complex dielectric constant corresponding to the electromagnetic excitation is obtained based on the complex refractive index; each of the complex dielectric constants constitutes the complex dielectric constant information.

3. The polymer material resistance testing method according to claim 1, characterized in that: The step of acquiring the intrinsic impedance information of the polymer material based on the complex dielectric constant information includes: Obtaining the complex magnetic permeability of the polymer material; For each electromagnetic excitation, an intrinsic impedance corresponding to the electromagnetic excitation is determined based on the complex dielectric constant and the complex magnetic permeability corresponding to the electromagnetic excitation; each of the intrinsic impedances constitutes the intrinsic impedance information.

4. The polymer material resistance testing method according to claim 1, characterized in that: The obtaining the surface impedance information of the polymer material based on the intrinsic impedance information includes: Obtaining the complex magnetic permeability of the polymer material; For each electromagnetic excitation, determining the complex propagation constant corresponding to the polymer material under the electromagnetic excitation based on the complex dielectric constant corresponding to the electromagnetic excitation, the electromagnetic wave frequency corresponding to the electromagnetic excitation, and the complex magnetic permeability; For each electromagnetic excitation, the surface impedance corresponding to the electromagnetic excitation is determined based on the complex propagation constant corresponding to the electromagnetic excitation, the intrinsic impedance corresponding to the electromagnetic excitation and the thickness of the polymer material in the electromagnetic excitation direction; each of the surface impedances constitutes the surface impedance information.

5. The polymer material resistance testing method according to claim 1, characterized in that: The generating a target equivalent circuit model of the polymer material based on the surface impedance information comprises: For each electromagnetic excitation, constructing a corresponding relationship between the electromagnetic wave frequency corresponding to the electromagnetic excitation and the surface impedance; Constructing a first change curve and a second change curve based on each of the corresponding relationships; wherein the first change curve is a curve showing that the real part of the surface impedance changes with the frequency of the electromagnetic wave, and the second change curve is a curve showing that the imaginary part of the surface impedance changes with the frequency of the electromagnetic wave; Inputting the first change curve and the second change curve into a preset equivalent circuit selection model to obtain an initial equivalent circuit model corresponding to the polymer material; Based on the corresponding relationships, various parameters of the initial equivalent circuit model are solved to obtain the target equivalent circuit model; wherein the various parameters include the resistance value of the polymer material.

6. The polymer material resistance testing method according to claim 5, characterized in that: The step of solving the parameters of the initial equivalent circuit model based on the corresponding relationships to obtain the target equivalent circuit model includes: Dividing each of the corresponding relationships into a training set and an optimization set; Training the initial equivalent circuit model based on the training set to obtain an intermediate equivalent circuit model; The parameters of the intermediate equivalent circuit model are optimized based on the optimization set to obtain the target equivalent circuit model.

7. The polymer material resistance testing method according to claim 6, characterized in that: The optimizing the parameters of the intermediate equivalent circuit model based on the optimization set to obtain the target equivalent circuit model includes: For each corresponding relationship in the optimization set, input the electromagnetic wave frequency in the corresponding relationship into the intermediate equivalent circuit model to obtain a surface predicted impedance, and calculate the absolute value of the difference between the surface predicted impedance and the surface impedance in the corresponding relationship; Taking the reciprocal of the maximum absolute value among the absolute values ​​as the fitness of the intermediate equivalent circuit model, and comparing the fitness with a preset fitness; If the fitness is not greater than the preset fitness; Mutating the parameters of the intermediate equivalent circuit model based on a preset mutation algorithm to obtain a first generation population; Calculate the first individual fitness of each first-generation individual in the first-generation population respectively; Determine whether the maximum first individual fitness among the first individual fitnesses is greater than the preset fitness; If not, the first-generation individual corresponding to the maximum first-generation individual fitness is used as the target first-generation individual; Based on a preset mutation algorithm, the target first-generation individuals are mutated to obtain a second-generation population; Calculate the second individual fitness of each second generation individual in the second generation population respectively; Determine whether the maximum second individual fitness among the second individual fitnesses is greater than the preset fitness; If not, taking the second-generation individual corresponding to the maximum second-individual fitness as the target second-generation individual, iterating the steps after taking the first-generation individual corresponding to the maximum first-individual fitness as the target first-generation individual, until the target population is obtained; wherein the maximum target individual fitness in the target population is greater than the preset fitness; The target individual corresponding to the maximum target individual fitness is used to update the parameters of the intermediate equivalent circuit model to obtain the target equivalent circuit model.

8. A polymer material resistance testing device, characterized in that: include: The first acquisition module is used to perform electromagnetic excitation on the polymer material multiple times at a preset frequency step within a frequency range of [1 MHz, 10 GHz], and obtain the transmission coefficient corresponding to the polymer material under each electromagnetic excitation to obtain electromagnetic response data information of the polymer material; A second acquisition module, used for acquiring complex dielectric constant information of the polymer material based on the electromagnetic response data information; A third acquisition module, configured to acquire intrinsic impedance information of the polymer material based on the complex dielectric constant information, and acquire surface impedance information of the polymer material based on the intrinsic impedance information; A generating module is used to generate a target equivalent circuit model of the polymer material based on the surface impedance information, and to obtain a resistance value of the polymer material based on the target equivalent circuit model.

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