Nondestructive testing method for internal defects of main insulation of power cable and related device

By applying excitation signals on the power cable and processing the response signals using the signal analysis model, accurate non-destructive detection of internal defects of the main insulation of the cable is achieved, solving the defect detection problems in the power system, reducing the failure risk and maintenance costs.

CN119510996APending Publication Date: 2025-02-25XINING ELECTRIC POWER IND CO
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Patent Information

Application Number
CN202411587418.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-08
Publication Date
2025-02-25

AI Technical Summary

Technical Problem

It is difficult to accurately and timely detect internal defects of the main insulation of the power cable, resulting in increased safety hazards and maintenance costs of the power system.

Method used

By determining the excitation signal parameters, applying the excitation signal to the cable, obtaining the response signal, and using the trained signal analysis model for inference processing, obtaining the detection results of defect status, type and position.

Benefits of technology

It realizes accurate non-destructive detection of internal defects of main insulation of power cables, reduces misjudgment and misjudgment, provides accurate maintenance guidance, and ensures the safe and stable operation of the power system.

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Abstract

The invention discloses a non-destructive testing method, a non-destructive testing device, non-destructive testing equipment and a computer readable storage medium for internal defects of main insulation of a power cable, and the method comprises the following steps: determining excitation signal parameters according to the type and specification of a target cable, applying an excitation signal to the target cable through the excitation signal parameter and an excitation signal generator; wherein the excitation signal parameters comprise amplitude, phase, frequency and waveform; obtaining a response signal of the target cable to the excitation signal, and collecting and storing the response signal; reasoning the response signal based on a trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training the initial classification model based on the electromagnetic induction characteristic data of the excitation signal and the response signal training data; processing the analysis result to obtain a detection result; wherein the detection result comprises a defect state, a defect type and a defect position.
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Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and more specifically, relates to a nondestructive detection method for internal defects of main insulation of a power cable, a nondestructive detection device for internal defects of main insulation of a power cable, nondestructive detection equipment, and a computer-readable storage medium. Background Art

[0002] In the power system, power cables are key equipment for power transmission, and their reliability and safety are of vital importance. With the continuous growth of power demand and the continuous expansion of the power grid, the use of power cables is also increasing sharply.

[0003] The main insulation of power cables undertakes the important task of isolating conductors from the external environment and ensuring the safe transmission of electric energy. However, problems that affect the performance of the main insulation may occur at various stages of cable manufacturing, installation, operation and maintenance. During the manufacturing process, defects such as tiny bubbles, impurities or uneven local insulation thickness may appear inside the main insulation of the cable due to unstable quality of raw materials and improper production process control. During the installation stage, the cable may be damaged by external forces, such as excessive bending and excessive stretching, which may cause cracks or deformation inside the main insulation. In the long-term operation process, the cable will be affected by various factors such as electric field, thermal field, and mechanical stress. The long-term effect of the electric field may cause the aging of the insulation material and the formation of electrical dendrites; the influence of the thermal field may cause the performance of the insulation material to deteriorate; and mechanical stress may gradually expand the originally tiny defects.

[0004] It can be seen that if the defects inside the main insulation cannot be discovered and handled in time, it will bring serious safety hazards to the power system. On the one hand, the defects may cause partial discharge of the cable, which will gradually erode the insulation material, further expand the scope of the defects, and eventually cause insulation breakdown failure of the cable, causing power outages and affecting the stable operation of the power system. On the other hand, even if the defects do not cause serious failures in the short term, they will reduce the insulation performance of the cable, shorten the service life of the cable, and increase the maintenance cost of the power system.

[0005] Therefore, how to accurately and non-destructively detect the internal defects of power cables so as to timely discover potential problems without affecting the normal operation of the cables, take corresponding maintenance and repair measures, and ensure the safe and reliable operation of the power system is a key issue of concern to technical personnel in this field. Summary of the invention

[0006] The purpose of the present application is to provide a nondestructive detection method for internal defects of the main insulation of a power cable, a nondestructive detection device for internal defects of the main insulation of a power cable, nondestructive detection equipment, and a computer-readable storage medium. The method can accurately and nondestructively detect the internal defects of the power cable so as to timely discover potential problems without affecting the normal operation of the cable.

[0007] In view of the above defects or improvement needs of the prior art, the present invention provides a non-destructive detection method for internal defects of the main insulation of a power cable, comprising:

[0008] Determine the excitation signal parameters according to the type and specification of the target cable, and apply the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, and waveform;

[0009] Acquiring a response signal of the target cable to the excitation signal, and collecting and storing the response signal;

[0010] The response signal is inferred and processed based on a trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training an initial classification model based on electromagnetic induction feature data of the excitation signal and response signal training data;

[0011] The analysis results are processed to obtain detection results; wherein the detection results include: defect status, defect type, and defect location.

[0012] Optionally, determining excitation signal parameters according to the type and specification of the target cable, and applying the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator, comprises:

[0013] Determining the excitation signal parameters and the contact type according to the type and specification of the target cable and the defect type;

[0014] The generated excitation signal is applied to the target cable through the excitation signal parameters, the excitation signal generator, and the contact type.

[0015] Optionally, obtaining a response signal of the target cable to the excitation signal, and collecting and storing the response signal, includes:

[0016] Acquiring corresponding response signals at different positions of the target cable through a signal receiver;

[0017] The response signal is collected and stored.

[0018] Optionally, performing inference processing on the response signal based on a trained signal analysis model to obtain an analysis result includes:

[0019] Acquiring electromagnetic induction characteristic data of the excitation signal and the response signal training data;

[0020] Performing feature parameter extraction processing on the electromagnetic induction feature data of the excitation signal and the response signal training data respectively to obtain training data;

[0021] Training the initial classification model based on the training data to obtain the trained signal analysis model;

[0022] The response signal is inferred and processed based on the trained signal analysis model to obtain an analysis result.

[0023] Optionally, also include:

[0024] Generate a test report based on the test results; wherein the test report includes: test data, analysis results, conclusions and suggestions.

[0025] The present application also provides a non-destructive detection device for internal defects of main insulation of a power cable, comprising:

[0026] An excitation signal applying module, used to determine excitation signal parameters according to the type and specification of the target cable, and apply the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, and waveform;

[0027] A signal acquisition module, used for acquiring a response signal of the target cable to the excitation signal, and collecting and storing the response signal;

[0028] A signal data analysis module, used for performing inference processing on the response signal based on a trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training an initial classification model based on the electromagnetic induction characteristic data of the excitation signal and the response signal training data;

[0029] The detection result output module is used to process the analysis result to obtain the detection result; wherein the detection result includes: defect status, defect type, and defect location.

[0030] Optionally, the excitation signal application module is specifically used to determine the excitation signal parameters and contact type according to the type and specification of the target cable and the defect type; and apply the generated excitation signal to the target cable through the excitation signal parameters, the excitation signal generator and the contact type.

[0031] Optionally, the signal acquisition module is specifically used to acquire corresponding response signals at different positions of the target cable through a signal receiver; and to acquire and store the response signals.

[0032] The present application also provides a non-destructive testing device, comprising:

[0033] Memory for storing computer programs;

[0034] A processor is used to implement the steps of the nondestructive testing method as described above when executing the computer program.

[0035] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the nondestructive testing method described above are implemented.

[0036] The present application provides a nondestructive detection method for internal defects of the main insulation of a power cable, comprising: determining excitation signal parameters according to the type and specification of the target cable, applying the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, and waveform; obtaining a response signal of the target cable to the excitation signal, and collecting and storing the response signal; performing inference processing on the response signal based on a trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training an initial classification model based on electromagnetic induction feature data of the excitation signal and response signal training data; processing the analysis result to obtain a detection result; wherein the detection result includes: defect status, defect type, and defect location.

[0037] It has the following beneficial effects:

[0038] By determining the excitation signal parameters based on the cable type and specifications, it can be well matched with the cable characteristics, effectively stimulate electromagnetic induction, improve the detection pertinence, obtain and process the response signal, and use the trained model for accurate analysis to reduce misjudgment and missed judgment. Finally, detailed detection results such as defect status, type and location are obtained, providing precise guidance for cable maintenance and repair, ensuring the safe and stable operation of the power system, reducing the risk of failure, extending the service life of the cable, and saving maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0040] Figure 1 A flowchart of a method for nondestructive detection of internal defects of main insulation of a power cable provided in an embodiment of the present application;

[0041] Figure 2 A schematic diagram of the structure of a nondestructive detection device for internal defects of the main insulation of a power cable provided in an embodiment of the present application;

[0042] Figure 3 This is a schematic diagram of the structure of the nondestructive testing equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The core of this application is to provide a nondestructive detection method for internal defects of the main insulation of a power cable, a nondestructive detection device for internal defects of the main insulation of a power cable, nondestructive detection equipment, and a computer-readable storage medium. This method can accurately and nondestructively detect the internal defects of the power cable so as to timely discover potential problems without affecting the normal operation of the cable.

[0044] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0045] The following is an example of a non-destructive detection method for internal defects of the main insulation of a power cable provided by the present application.

[0046] Please refer to Figure 1 , Figure 1 A flow chart of a method for nondestructive detection of internal defects in the main insulation of a power cable provided in an embodiment of the present application.

[0047] In this embodiment, the method may include:

[0048] S101, determining excitation signal parameters according to the type and specification of the target cable, and applying the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, and waveform;

[0049] In this step, cables of different types and specifications have different electrical properties, including conductor material, insulation material, length, diameter, etc. Determining the excitation signal parameters (amplitude, phase, frequency, waveform) based on these characteristics is based on the principle of electromagnetic induction. Appropriate excitation signal parameters can match the excitation signal with the cable characteristics and stimulate effective electromagnetic induction inside the cable. When the excitation signal is applied to the cable, the current in the cable will generate a magnetic field, which is induced in the main insulation of the cable and the surrounding environment. If there are defects inside the main insulation, the defects will change the magnetic field distribution and affect the characteristics of the induced signal.

[0050] First, determine the type and specifications of the target cable, such as rated voltage, conductor cross-sectional area, insulation material type, etc. Then, determine the amplitude, phase, frequency, and waveform of the excitation signal based on this information. For example, a high-voltage cable may require a higher amplitude excitation signal, and a higher frequency signal may be required to detect tiny defects. Finally, use an excitation signal generator to apply the excitation signal to the target cable through a suitable connection method (such as direct contact or non-contact methods such as electromagnetic induction coupling).

[0051] By accurately determining the excitation signal parameters and applying the excitation signal reasonably, the electromagnetic induction inside the cable can be better stimulated, improving the pertinence and effectiveness of the detection. The subsequent analysis of the response signal is more accurate, laying the foundation for the accurate detection of internal defects in the cable main insulation.

[0052] Optionally, this step may include:

[0053] Step 1, determining the excitation signal parameters and contact type according to the type and specification of the target cable and the defect type;

[0054] Step 2: applying the generated excitation signal to the target cable through the excitation signal parameters, excitation signal generator, and contact type.

[0055] S102, obtaining a response signal of the target cable to the excitation signal, and collecting and storing the response signal;

[0056] The response signal contains the internal structure information of the cable main insulation. When the excitation signal propagates in the cable, the defects inside the main insulation will change the propagation characteristics of the excitation signal, and these changes will be reflected in the response signal. The response signal is collected and stored for subsequent detailed analysis to extract information about the defects.

[0057] Use signal receivers at different locations on the target cable to obtain response signals. The signal receiver can be moved along the length of the cable to obtain comprehensive information. Then, use the data acquisition system to collect and store the acquired response signals. Set the appropriate sampling frequency and sampling time, convert the analog signal into a digital signal and store it in a storage device.

[0058] It can fully obtain the response of the cable to the excitation signal, providing a rich data basis for subsequent analysis, ensuring that no signal information that may be related to defects is missed, and improving the accuracy and reliability of detection.

[0059] Optionally, this step may include:

[0060] Step 1, obtaining corresponding response signals at different positions of the target cable through a signal receiver;

[0061] Step 2: Collect and store the response signal.

[0062] S103, performing inference processing on the response signal based on the trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training an initial classification model based on the electromagnetic induction feature data of the excitation signal and the response signal training data;

[0063] The trained signal analysis model is obtained by training the initial classification model based on the electromagnetic induction feature data of the excitation signal and the response signal training data. Through a large amount of known defective and non-defective cable sample data training, the model learns the characteristic patterns of the response signal under different defect conditions. When the collected response signal is input, the model infers based on the learned pattern to determine whether there is a defect and the relevant characteristics of the defect.

[0064] First, the electromagnetic induction characteristic data of the excitation signal and the response signal training data are obtained, and characteristic parameter extraction processing is performed on them to obtain training data. The initial classification model (such as a neural network model, a support vector machine model, etc.) is trained using these training data to obtain a trained signal analysis model. The collected response signal is input into the trained signal analysis model to obtain the analysis result.

[0065] Using a well-trained model for analysis can efficiently and accurately determine whether there are defects inside the cable main insulation and the type of defects, etc. This reduces the subjectivity and errors of manual analysis and improves the accuracy and efficiency of detection.

[0066] Optionally, this step may include:

[0067] Step 1, obtaining electromagnetic induction characteristic data of the excitation signal and response signal training data;

[0068] Step 2, performing feature parameter extraction processing on the electromagnetic induction feature data of the excitation signal and the response signal training data respectively to obtain training data;

[0069] Step 3, training the initial classification model based on the training data to obtain a trained signal analysis model;

[0070] Step 4: Perform inference processing on the response signal based on the trained signal analysis model to obtain the analysis result.

[0071] S104, processing the analysis result to obtain a detection result; wherein the detection result includes: defect status, defect type, and defect location.

[0072] The analysis results include information about whether there are defects inside the cable main insulation and some preliminary characteristic information. The analysis results are processed to further clarify the specific state (such as existence or non-existence), type (such as bubbles, cracks, etc.) and location information of the defects. This may be achieved based on the characteristic parameters output by the model and some specific algorithms and rules.

[0073] Determine the state of the defect based on the characteristic information in the analysis results, combined with relevant algorithms and rules. Determine the defect type by comparing the characteristic patterns of known defect types. Determine the defect location by using methods such as signal propagation time difference and signal amplitude attenuation, combined with information such as the cable's geometric dimensions and signal receiving position.

[0074] Finally, clear test results are obtained, providing accurate and detailed information for cable maintenance and repair, enabling maintenance personnel to take targeted measures to improve the efficiency and effectiveness of cable maintenance and ensure the safe operation of cables.

[0075] Furthermore, this embodiment may also include:

[0076] Generate a test report based on the test results; the test report includes: test data, analysis results, conclusions and suggestions.

[0077] In summary, this embodiment determines the excitation signal parameters by cable type and specification, which can be well matched with the cable characteristics, effectively stimulate electromagnetic induction, improve detection pertinence, obtain and process response signals, and use the trained model for accurate analysis to reduce misjudgment and missed judgment. Finally, detailed detection results such as defect status, type and location are obtained, providing accurate guidance for cable maintenance and repair, ensuring safe and stable operation of the power system, reducing failure risks, extending the service life of cables, and saving maintenance costs.

[0078] The following is an introduction to a nondestructive detection device for internal defects of the main insulation of a power cable provided in an embodiment of the present application. The nondestructive detection device for internal defects of the main insulation of a power cable and a nondestructive detection method for internal defects of the main insulation of a power cable described below can be referenced to each other.

[0079] Please refer to Figure 2 , Figure 2 A schematic diagram of the structure of a nondestructive detection device for internal defects of the main insulation of a power cable provided in an embodiment of the present application.

[0080] In this embodiment, the device may include:

[0081] The excitation signal applying module 100 is used to determine the excitation signal parameters according to the type and specification of the target cable, and apply the excitation signal to the target cable through the excitation signal parameters and the excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, waveform;

[0082] The signal acquisition module 200 is used to acquire the response signal of the target cable to the excitation signal, and to collect and store the response signal;

[0083] The signal data analysis module 300 is used to perform inference processing on the response signal based on the trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training the initial classification model based on the electromagnetic induction characteristic data of the excitation signal and the response signal training data;

[0084] The detection result output module 400 is used to process the analysis result to obtain the detection result; wherein the detection result includes: defect status, defect type, and defect location.

[0085] Optionally, an excitation signal application module is specifically used to determine the excitation signal parameters and contact type according to the type and specification of the target cable and the defect type; and apply the generated excitation signal to the target cable through the excitation signal parameters, excitation signal generator, and contact type.

[0086] Optionally, the signal acquisition module is specifically used to obtain corresponding response signals at different positions of the target cable through a signal receiver; and to collect and store the response signals.

[0087] This application also provides non-destructive testing equipment, please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of the nondestructive testing equipment provided in an embodiment of the present application. The nondestructive testing equipment may include:

[0088] Memory for storing computer programs;

[0089] A processor, when used to execute a computer program, can implement the steps of any of the above-mentioned non-destructive testing methods.

[0090] like Figure 3 , which is a schematic diagram of the composition structure of a nondestructive testing device, the nondestructive testing device may include: a processor 10, a memory 11, a communication interface 12 and a communication bus 13. The processor 10, the memory 11 and the communication interface 12 communicate with each other through the communication bus 13.

[0091] In the embodiment of the present application, the processor 10 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0092] The processor 10 may call a program stored in the memory 11. Specifically, the processor 10 may execute operations in an embodiment of the abnormal IP identification method.

[0093] The memory 11 is used to store one or more programs, which may include program codes, and the program codes include computer operation instructions. In the embodiment of the present application, the memory 11 at least stores programs for implementing the following functions:

[0094] Determine the excitation signal parameters according to the type and specification of the target cable, and apply the excitation signal to the target cable through the excitation signal parameters and the excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, and waveform;

[0095] Obtaining the response signal of the target cable to the excitation signal, and collecting and storing the response signal;

[0096] The response signal is inferred and processed based on the trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training an initial classification model based on the electromagnetic induction characteristic data of the excitation signal and the response signal training data;

[0097] The analysis results are processed to obtain the detection results; wherein the detection results include: defect status, defect type, and defect location.

[0098] In a possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0099] In addition, the memory 11 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0100] The communication interface 12 may be an interface of a communication module, and is used to connect to other devices or systems.

[0101] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the nondestructive testing equipment in the embodiment of the present application. In actual applications, the nondestructive testing equipment may include Figure 3 More or fewer components than shown, or combinations of certain components.

[0102] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned nondestructive testing methods can be implemented.

[0103] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0104] For an introduction to the computer-readable storage medium provided in this application, please refer to the above method embodiment, and this application will not go into details here.

[0105] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0106] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0107] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0108] The above is a detailed introduction to a nondestructive detection method for internal defects of the main insulation of a power cable, a nondestructive detection device for internal defects of the main insulation of a power cable, a nondestructive detection equipment, and a computer-readable storage medium provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A nondestructive detection method for internal defects of main insulation of power cable, characterized in that: include: Determine the excitation signal parameters according to the type and specification of the target cable, and apply the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, and waveform; Acquiring a response signal of the target cable to the excitation signal, and collecting and storing the response signal; The response signal is inferred and processed based on a trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training an initial classification model based on electromagnetic induction feature data of the excitation signal and response signal training data; The analysis results are processed to obtain detection results; wherein the detection results include: defect status, defect type, and defect location.

2. The nondestructive testing method according to claim 1, characterized in that: Determining excitation signal parameters according to the type and specification of the target cable, and applying the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator, including: Determining the excitation signal parameters and the contact type according to the type and specification of the target cable and the defect type; The generated excitation signal is applied to the target cable through the excitation signal parameters, the excitation signal generator, and the contact type.

3. The nondestructive testing method according to claim 2, characterized in that: Acquiring a response signal of the target cable to the excitation signal, and collecting and storing the response signal, including: Acquiring corresponding response signals at different positions of the target cable through a signal receiver; The response signal is collected and stored.

4. The nondestructive testing method according to claim 3, characterized in that: The response signal is subjected to inference processing based on the trained signal analysis model to obtain an analysis result, including: Acquiring electromagnetic induction characteristic data of the excitation signal and the response signal training data; Performing feature parameter extraction processing on the electromagnetic induction feature data of the excitation signal and the response signal training data respectively to obtain training data; Training the initial classification model based on the training data to obtain the trained signal analysis model; The response signal is inferred and processed based on the trained signal analysis model to obtain an analysis result.

5. The nondestructive testing method according to claim 4, characterized in that: Also includes: Generate a test report based on the test results; wherein the test report includes: test data, analysis results, conclusions and suggestions.

6. A nondestructive detection device for internal defects of main insulation of power cable, characterized in that: include: An excitation signal applying module, used to determine excitation signal parameters according to the type and specification of the target cable, and apply the excitation signal to the target cable through the excitation signal parameters and an excitation signal generator; wherein the excitation signal parameters include: amplitude, phase, frequency, and waveform; A signal acquisition module, used for acquiring a response signal of the target cable to the excitation signal, and collecting and storing the response signal; A signal data analysis module, used for performing inference processing on the response signal based on a trained signal analysis model to obtain an analysis result; wherein the trained signal analysis model is obtained by training an initial classification model based on the electromagnetic induction characteristic data of the excitation signal and the response signal training data; The detection result output module is used to process the analysis result to obtain the detection result; wherein the detection result includes: defect status, defect type, and defect location.

7. The nondestructive testing device according to claim 6, characterized in that: The excitation signal applying module is specifically used to determine the excitation signal parameters and contact type according to the type and specification of the target cable and the defect type; and apply the generated excitation signal to the target cable through the excitation signal parameters, the excitation signal generator, and the contact type.

8. The nondestructive testing device according to claim 7, characterized in that: The signal acquisition module is specifically used to acquire corresponding response signals at different positions of the target cable through a signal receiver; and to acquire and store the response signals.

9. A non-destructive testing device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the nondestructive testing method according to any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the non-destructive testing method according to any one of claims 1 to 5 are implemented.