Intelligent analysis system for withstand voltage test data of power cable

Abstract

The invention discloses a power cable withstand voltage test data intelligent analysis system, which comprises an input unit; a data acquisition module; a data preprocessing module; a feature extraction module; an intelligent analysis module; the data storage module is used for storing the collected original data, the preprocessed data and an analysis result of the intelligent analysis module; a user interaction module; aiming at the problem that the thermal conductivity of a cable material is neglected in traditional voltage withstanding test data analysis, the thermal conductivity is incorporated into an evaluation model, and the heat dissipation difference of cables made of different materials in a voltage withstanding test is accurately reflected, so that the accuracy of insulation state evaluation is remarkably improved, unnecessary maintenance or replacement caused by misjudgment is avoided, the operation and maintenance cost is directly reduced, and the working efficiency is improved. Meanwhile, based on the analysis of the thermal conductivity, the aging trend of the insulation performance can be more sensitively captured, the accuracy of a withstand voltage test result can be effectively improved, potential faults can be warned in advance, and the operation reliability of a power system is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of cable detection, and particularly to an intelligent analysis system for power cable withstand voltage test data. Background Art

[0002] As a key component of modern power transmission systems, the insulation performance of power cables is directly related to the safe and stable operation of power systems. To ensure the reliability of power cables during long-term operation, the withstand voltage test is widely used as an important detection method. The withstand voltage test applies a test voltage higher than the normal operating voltage to the power cable to simulate its working state under extreme conditions, thereby evaluating its insulation performance. However, in the analysis of traditional withstand voltage test data, there are often some limitations, especially in considering the influence of cable material characteristics on the test results.

[0003] Traditional methods for analyzing withstand voltage test data mainly focus on the simple statistics and analysis of electrical parameters such as voltage, current, and partial discharge quantity collected during the test. Although these methods can reflect the insulation state of power cables to a certain extent, they ignore a key factor - the thermal conductivity of the cable material. Thermal conductivity is the ability of a material to conduct heat, and it plays a crucial role in the withstand voltage test of power cables. Under the action of high voltage, heat is generated inside the power cable, and the thermal conductivity of the cable material directly affects its heat dissipation performance. If the thermal conductivity of the cable material is low, heat is difficult to dissipate quickly, resulting in a local temperature increase in the cable. This local overheating phenomenon will accelerate the aging of the insulation material, reduce its insulation performance, and thus affect the accuracy of the test results and the prediction of the remaining service life of the power cable.

[0004] In the patent document with the publication number CN119378288A, the thermal conductivity is not taken into consideration. This makes it impossible to comprehensively and accurately reflect the actual situation when evaluating the insulation state of power cables, easily leading to misjudgment and posing potential risks to the safe operation of power systems. For example, when conducting withstand voltage tests on power cables made of different materials, if the thermal conductivity differences are not considered, similar electrical parameter performances may be obtained, but in fact, their insulation performances and remaining service lives may be very different. Such inaccurate evaluations will not only increase the risk of power cable failures but also result in unnecessary repairs or replacements, increasing the operation and maintenance costs of power systems. Summary of the Invention

[0005] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title. However, such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In view of the problems existing in the above-mentioned existing intelligent analysis system for the withstand voltage test data of power cables, the present invention is proposed.

[0007] Therefore, the object of the present invention is to provide an intelligent analysis system for the withstand voltage test data of power cables.

[0008] To solve the above technical problems, the present invention provides the following technical solutions: An intelligent analysis system for the withstand voltage test data of power cables, including an input unit for receiving test parameters input by a user; A data acquisition module for real-time acquisition of data during the withstand voltage test of a power cable; A data preprocessing module for preprocessing the acquired data to obtain preprocessed data; A feature extraction module for extracting feature parameters from the preprocessed data; An intelligent analysis module for evaluating the insulation state of a power cable according to the extracted feature parameters and predicting the remaining service life of the power cable; A data storage module for storing the acquired original data, preprocessed data, and the analysis results of the intelligent analysis module; A user interaction module for displaying the insulation state evaluation result and the remaining service life of the power cable to the user and providing a warning function.

[0009] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable according to the present invention, wherein: the intelligent analysis module includes a classifier based on machine learning for classifying the insulation state of the power cable to determine its insulation state, and the insulation state includes a normal state, an aging state, or a fault state; An evaluation model for calculating the remaining service life of the power cable according to the classification result.

[0010] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable according to the present invention, wherein: the calculation formula of the evaluation model is,

[0011] wherein, V rated is the rated voltage of the power cable, V pd is the partial discharge inception voltage, f rep is the discharge repetition, is the pulse width, and k is a thermal conductivity constant taken according to the thermal conductivity of the cable material.

[0012] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable according to the present invention, wherein: the formula for taking the value of the thermal conductivity constant k is,

[0013] Among them, is the thermal conductivity of the cable material, and α is a calibration coefficient used to adjust the value range of the thermal conductivity constant k to make the value reasonable. Here, the value of α is 0.1.

[0014] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable described in the present invention, wherein: the data acquisition module further includes an environmental parameter acquisition unit for acquiring the temperature, humidity, and air pressure data of the test environment.

[0015] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable described in the present invention, wherein: the user interaction module further includes an early warning threshold setting unit, and the user can set different early warning thresholds according to the actual operation conditions of the power cable.

[0016] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable described in the present invention, wherein: the intelligent analysis module further includes a trend analysis unit for analyzing the change trend of the insulation state of the power cable and predicting the insulation state in a future period of time.

[0017] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable described in the present invention, wherein: the data storage module adopts a distributed storage architecture, which can store a large amount of test data and analysis results, and supports fast retrieval and backup of data; The data storage module further includes a data analysis and optimization unit for analyzing and optimizing the stored data.

[0018] As a preferred solution of the intelligent analysis system for the withstand voltage test data of the power cable described in the present invention, wherein: the data preprocessing module includes a filtering unit that filters the acquired data using a Butterworth low-pass filter; a denoising unit that denoises the filtered data using wavelet transform; a normalization unit that normalizes the denoised data using the min-max normalization method; The filtering formula of the filtering unit is

[0019] Among them, y(t) is the function value of the filtered output signal at time t, which is the signal after filtering, that is, the final required result. x(t) is the function value of the original input signal at time t, which is the original data obtained from the data acquisition module and needs to be filtered to remove noise; b i is the forward coefficient of the filter, a jis the backward coefficient of the filter, n is the order of the filter, i is the time delay index of the input signal, and j is the time delay index of the output signal.

[0020] Advantages of the present invention: Aiming at the problem of ignoring the thermal conductivity of cable materials in the analysis of traditional withstand voltage test data, the present invention incorporates the thermal conductivity into the evaluation model, accurately reflects the heat dissipation differences of cables made of different materials during the withstand voltage test, thereby significantly improving the accuracy of insulation condition assessment, avoiding unnecessary repairs or replacements caused by misjudgment, directly reducing the operation and maintenance costs. At the same time, the analysis based on thermal conductivity can more sensitively capture the aging trend of insulation performance, effectively improve the accuracy of withstand voltage test results, early warning of potential faults, and enhance the operation reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. Among them: Figure 1 is the overall architecture diagram of the intelligent analysis system for power cable withstand voltage test data of the present invention.

[0022] Figure 2 is the computer equipment diagram of the intelligent analysis system for power cable withstand voltage test data of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention in conjunction with the drawings of the specification.

[0024] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0025] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure or characteristic that can be included in at least one implementation manner of the present invention. The "in one embodiment" that appears in different places in this specification does not all refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0026] Next, the present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally out of the general scale, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0027] Example, refer to Figure 1-2 , as shown in the figure, an intelligent analysis system for power cable withstand voltage test data includes an input unit for receiving test parameters input by a user; a data acquisition module for real-time collecting data during the power cable withstand voltage test; a data preprocessing module for preprocessing the collected data to obtain preprocessed data; a feature extraction module for extracting feature parameters from the preprocessed data; an intelligent analysis module for evaluating the insulation state of the power cable according to the extracted feature parameters and predicting the remaining service life of the power cable; a data storage module for storing the collected original data, preprocessed data, and the analysis results of the intelligent analysis module; a user interaction module for displaying the insulation state evaluation result and the remaining service life of the power cable to the user and providing a warning function; The user interaction module of the present invention has a warning threshold setting function. Combining with the real-time evaluation ability of the intelligent analysis module, it can timely detect abnormal changes in the insulation state of the power cable and send out a warning signal. Compared with traditional methods, since the present invention takes into account the influence of thermal conductivity on insulation performance, it can more sensitively capture early signs that may lead to failures. This timely and effective fault warning function provides sufficient time for power system operation and maintenance personnel to take preventive measures, avoid the occurrence of failures, and reduce economic losses and social impacts caused by failures.

[0028] Specifically, the intelligent analysis module includes a classifier based on machine learning for classifying the insulation state of the power cable and judging its insulation state, and the insulation state includes a normal state, an aging state, or a fault state; An evaluation model for calculating the remaining service life of the power cable according to the classification result. Based on the consideration of thermal conductivity in this model, the evaluation model of the present invention can more scientifically predict the remaining service life of the power cable, avoiding the problem that traditional methods often lead to inaccurate prediction of the remaining service life due to neglecting the influence of thermal conductivity on insulation performance aging. By introducing thermal conductivity-related parameters and combining with other electrical parameters, a more comprehensive and accurate prediction model is constructed. This model can more truly reflect the performance change trend of the cable during long-term operation, provide a more reliable decision-making basis for power system operation and maintenance personnel, help them reasonably arrange the maintenance and replacement plans of the cable, avoid power outages caused by cable failures, and improve the power supply reliability and economy of the power system.

[0029] Further, the calculation formula of the evaluation model is

[0030] where V rated is the rated voltage of the power cable, V pd is the partial discharge inception voltage, f rep is the discharge repetition rate, is the pulse width, and k is the thermal conductivity constant obtained according to the thermal conductivity of the cable material.

[0031] Among them, the thermal conductivity is the ability of the material to conduct heat; in the withstand voltage test of the power cable, the thermal conductivity will affect the heat dissipation performance of the cable under high voltage. If the thermal conductivity of the cable material is low, heat is not easily dissipated, which may lead to local overheating, thus affecting the insulation performance and withstand voltage ability of the cable. Here, by comprehensively considering the thermal conductivity of the cable material, the limitation of the traditional method that only relies on electrical parameters for analysis is overcome; the thermal conductivity, as a key factor affecting the heat dissipation performance of the cable, is directly related to the aging speed of the insulating material under high voltage and the stability of the insulation performance; incorporating the thermal conductivity into the analysis model can more accurately reflect the insulation state of the power cable under actual operating conditions, thus significantly improving the accuracy of insulation state evaluation. This enables the operation and maintenance personnel of the power system to more reliably judge whether the cable is in a normal state, an aging state or a fault state, providing stronger guarantee for the safe operation of the power system.

[0032] Therefore, the thermal conductivity is an important factor affecting the withstand voltage test data of the cable, and the heat dissipation characteristics of different materials can be reflected by adjusting the constant k where the formula for obtaining the thermal conductivity constant k is

[0033] where is the thermal conductivity of the cable material, and α is the calibration coefficient used to adjust the value range of the thermal conductivity constant k to make the value reasonable. Here, α is taken as 0.1, For example, if the cable uses polyethylene insulation material, its thermal conductivity is about 0.4 W / m·k, then the value of k can be calculated as , If the cable uses rubber insulation material, its thermal conductivity is about 0.15 W / m·k, then the value of k can be calculated as , and in this way, the thermal conductivity constant k can be adjusted according to the thermal conductivity of the cable material so as to more accurately reflect the influence of the heat dissipation characteristics of different materials on the withstand voltage test in the evaluation model.

[0034] It should be noted that the data acquisition module further includes an environmental parameter acquisition unit for acquiring temperature, humidity, and air pressure data of the test environment. The user interaction module further includes an early warning threshold setting unit, through which the user can set different early warning thresholds according to the actual operating conditions of the power cable. The temperature, humidity, air pressure, and other data of the test environment are collected by the data acquisition module and incorporated into the analysis model, enabling the system to adapt to withstand voltage tests under different environmental conditions. Meanwhile, when the system analyzes power cables made of different materials, it can conduct targeted evaluations based on their thermal conductivity differences, avoiding evaluation biases caused by neglecting material differences in traditional methods. This adaptability to various cable materials and operating environments gives the present invention a wider application scope, enabling it to meet the detection requirements of different types of cables in the power system and providing strong support for the comprehensive maintenance of the power system.

[0035] Particularly, the intelligent analysis module further includes a trend analysis unit for analyzing the change trend of the insulation state of the power cable and predicting the insulation state in a future period of time. The data storage module adopts a distributed storage architecture, capable of storing a large amount of test data and analysis results, and supporting rapid data retrieval and backup. The data storage module further includes a data analysis and optimization unit for analyzing and optimizing the stored data.

[0036] Furthermore, the data preprocessing module includes a filtering unit that filters the collected data using a Butterworth low-pass filter; a denoising unit that denoises the filtered data using wavelet transform; a normalization unit that normalizes the denoised data using the minimum-maximum normalization method; The filtering formula of the filtering unit is

[0037] where y(t) is the function value of the filtered output signal at time t, which is the signal after filtering, i.e., the final required result, and x(t) is the function value of the original input signal at time t, which is the original data obtained from the data acquisition module and needs to be filtered to remove noise; b i is the forward coefficient of the filter, a j is the backward coefficient of the filter, n is the order of the filter, i is the time delay index of the input signal, and j is the time delay index of the output signal; here, a Butterworth low-pass filter is adopted, and b i , a j can be calculated through the design formula of the Butterworth filter; The purpose of filtering is to remove high-frequency noise and retain the main features of the signal. A low-pass filter is used to filter the collected voltage, current, partial discharge quantity, and temperature data. Its transfer function is

[0038] where f is the signal frequency, f c is the cut-off frequency, and n is the order of the filter; Then, denoising is performed. The purpose of denoising is to further reduce the impact of noise on the signal. Wavelet transform is used for denoising, and the formula is

[0039] where x(n) represents the input signal, is the wavelet basis function, and C j,k is the wavelet coefficient; The noise in the wavelet coefficients is removed through soft thresholding. The expression formula is

[0040] where represents the threshold parameter, and its selection method formula is

[0041] where σ is the standard deviation of the noise, which can be estimated from the high-frequency part of the signal, N is the length of the signal, and ln represents the natural logarithm; Here, for example, assuming the signal length N = 1024 and the noise standard deviation σ = 0.1, then the threshold parameter is

[0042] where the function sign(x) is a sign function used to return the sign of the input value, expressed as follows

[0043] Subsequently, normalization also needs to be performed. The min-max normalization method is used. For the input data x, the normalized data is

[0044] where min(x) is the minimum value of the data, and max(x) is the maximum value of the data. Normalization scales the data to the range [0, 1] to enhance the efficiency and accuracy of subsequent analysis.

[0045] Furthermore, if the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods according to various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, and other various media that can store program codes.

[0046] The logic and / or steps represented in the flowchart or otherwise depicted herein, for example, can be considered as a predefined sequence of executable instructions for implementing a logical function, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with such instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0047] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette case (magnetic device), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), fiber optic device, and portable compact disc read-only memory (CDROM). Additionally, a computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or, if necessary, other appropriate processing, and then stored in a computer memory.

[0048] Operation process: The operator first starts the power cable withstand voltage test data intelligent analysis system, and the system immediately enters the self-check state to comprehensively check the operation status of the hardware module and software system to ensure that everything is normal. After the self-check is completed, the system automatically loads the default test parameters, which cover the rated voltage of the power cable, the initial temperature, humidity and air pressure of the test environment and other key information. The operator can flexibly adjust these parameters through the input unit according to the actual test requirements to ensure the accuracy and reliability of the test.

[0049] After the test parameters are set, the operator enters the specific parameters of this withstand voltage test through the input unit. These parameters include the starting voltage, the ending voltage, the test time, and the partial discharge threshold, which will provide clear guidance for subsequent data collection and analysis. At the same time, the operator also needs to use the warning threshold setting unit in the user interaction module to carefully set the warning threshold for insulation status assessment according to the actual operation of the power cable. The setting of this threshold is very important. When the evaluation result is lower than the threshold, the system will promptly issue a warning signal to remind the operator to take appropriate measures to ensure the safe operation of the power cable.

[0050] With the official start of the test, the data acquisition module quickly entered the working state and collected various data in real time during the power cable withstand voltage test. These data include key indicators such as voltage, current, partial discharge and temperature, which directly reflect the performance of the power cable in the withstand voltage test. At the same time, the environmental parameter acquisition unit is also not far behind, synchronously collecting the temperature, humidity and air pressure data of the test environment. These environmental parameters are also indispensable for the comprehensive evaluation of the insulation status of the power cable. The collected data is quickly and accurately sent to the data preprocessing module through data lines or wireless transmission methods to prepare for the next step of data processing.

[0051] After receiving the collected data, the data preprocessing module immediately starts the filtering unit to filter the data, effectively remove high-frequency noise, retain the main features of the signal, and provide a clearer and more accurate data basis for subsequent analysis. Next, the denoising unit comes on stage, which uses advanced wavelet transform technology to denoise the filtered data, further reducing the impact of noise on the signal and making the data purer. Finally, the normalization unit takes over the baton and uses the minimum-maximum normalization method to normalize the denoised data and scale the data to a uniform range. This processing process not only enhances the efficiency of subsequent analysis, but also improves the accuracy of the analysis results, providing a strong guarantee for the efficient operation of the feature extraction and intelligent analysis modules.

[0052] After the data preprocessing is completed, the feature extraction module quickly takes over and accurately extracts feature parameters closely related to the insulation state of the power cable from the preprocessed data. These feature parameters are like the "fingerprints" of the insulation state of the power cable and can provide key basis for subsequent intelligent analysis. At the same time, the classifier based on machine learning in the intelligent analysis module is also ready. It classifies the insulation state of the power cable in great detail and accurately judges whether it is in a normal state, an aging state or a fault state. Once the classification is completed, the evaluation model scientifically calculates the remaining service life of the power cable, providing valuable reference information for the safe operation and maintenance of the power cable.

[0053] At the same time, the data storage module obtains all the collected original data, preprocessed data and the analysis results of the intelligent analysis module and stores them properly. These data not only provide a complete record for the current test, but also lay a solid foundation for subsequent query and analysis. The user interaction module is like the "window" of the system. It clearly displays the insulation state evaluation result and the remaining service life of the power cable to the user, enabling the user to intuitively understand the operation status of the power cable. When the evaluation result is lower than the set warning threshold, the system will automatically send a warning signal to remind the operator to take measures in time to ensure the safe operation of the power cable.

[0054] When the test is successfully completed, the operator presses the close button and the system starts to execute the shutdown process. Before shutdown, the system will automatically save the data and analysis results to ensure the integrity and traceability of the test. Finally, the system conducts a comprehensive self-check to confirm that all modules have been safely shut down, and then officially enters the sleep state, waiting for the call of the next test. The whole operation process is closely linked and well-connected, fully demonstrating the high efficiency, accuracy and reliability of the intelligent analysis system for the power cable withstand voltage test data, providing strong technical support for the safe operation and maintenance of the power cable.

[0055] Importantly, it should be noted that the construction and arrangement of the present application shown in multiple different exemplary embodiments are merely illustrative. Although only a few embodiments are described in detail in this disclosure, those who refer to this disclosure should easily understand that many modifications are possible without materially departing from the novel teachings and advantages of the subject matter described in this application (e.g., changes in the dimensions, scales, structures, shapes and proportions of various elements, as well as parameter values (such as temperature, pressure, etc.), installation arrangements, use of materials, colors, orientations, etc.). For example, an element shown as integrally formed may be composed of multiple parts or elements, the position of the element may be inverted or otherwise changed, and the nature, number or position of discrete elements may be altered or changed. Accordingly, all such modifications are intended to be included within the scope of the present invention. The order or sequence of any process or method steps may be changed or reordered according to alternative embodiments. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present invention. Therefore, the present invention is not limited to specific embodiments, but extends to various modifications that still fall within the scope of the appended claims.

[0056] In addition, to provide a concise description of the exemplary embodiments, all features of the actual embodiments may not be described (i.e., those features that are not relevant to the currently contemplated best mode of carrying out the present invention or those that are not relevant to the implementation of the present invention).

[0057] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous specific implementation decisions may be made. Such development efforts may be complex and time-consuming, but for those of ordinary skill in the art who benefit from this disclosure, without undue experimentation, such development efforts will be a routine task of design, manufacture and production.

[0058] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention may be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. An intelligent analysis system for power cable withstand voltage test data, characterized in that: include, An input unit, used for receiving test parameters input by a user; Data acquisition module, used to collect data in real time during the power cable withstand voltage test; A data preprocessing module is used to preprocess the collected data and obtain the preprocessed data; A feature extraction module is used to extract feature parameters from the preprocessed data; Intelligent analysis module, which evaluates the insulation status of power cables based on the extracted characteristic parameters and predicts the remaining service life of power cables; A data storage module is used to store the collected raw data, pre-processed data and the analysis results of the intelligent analysis module; The user interaction module is used to display the insulation status assessment results and remaining service life of the power cable to the user and provide an early warning function.

2. The intelligent analysis system for power cable withstand voltage test data according to claim 1, characterized in that: The intelligent analysis module includes a classifier based on machine learning, which is used to classify the insulation state of the power cable and determine its insulation state, wherein the insulation state includes a normal state, an aging state or a fault state; An evaluation model is used to calculate the remaining useful life of power cables based on the classification results.

3. The intelligent analysis system for power cable withstand voltage test data according to claim 2, characterized in that: The calculation formula of the evaluation model is: Among them, V rated is the rated voltage of the power cable, V pd is the partial discharge inception voltage, f rep is the discharge repetition rate, is the pulse width, and k is the thermal conductivity constant which is determined according to the thermal conductivity of the cable material.

4. The intelligent analysis system for power cable withstand voltage test data according to claim 3, characterized in that: The formula for the value of the thermal conductivity constant k is: in, is the thermal conductivity of the cable material, and α is the calibration coefficient, which is used to adjust the value range of the thermal conductivity constant k to make the value reasonable. Here, α is taken as 0.

1.

5. The intelligent analysis system for power cable withstand voltage test data according to claim 1, characterized in that: The data acquisition module also includes an environmental parameter acquisition unit for collecting temperature, humidity and air pressure data of the test environment.

6. The intelligent analysis system for power cable withstand voltage test data according to claim 1 or 5, characterized in that: The user interaction module also includes a warning threshold setting unit, and the user can set different warning thresholds according to the actual operation of the power cable.

7. The intelligent analysis system for power cable withstand voltage test data according to claim 1 or 5, characterized in that: The intelligent analysis module also includes a trend analysis unit for analyzing the changing trend of the insulation state of the power cable and predicting the insulation state within a period of time in the future.

8. The intelligent analysis system for power cable withstand voltage test data according to claim 7, characterized in that: The data storage module adopts a distributed storage architecture, which can store a large amount of test data and analysis results, and supports rapid retrieval and backup of data; The data storage module also includes a data analysis and optimization unit for analyzing and optimizing the stored data.

9. The intelligent analysis system for power cable withstand voltage test data according to claim 1, characterized in that: The data preprocessing module includes: The filtering unit uses a Butterworth low-pass filter to filter the collected data; A denoising unit uses wavelet transform to denoise the filtered data; A normalization unit, which uses a minimum-maximum normalization method to normalize the denoised data; The filtering formula of the filtering unit is: Among them, y(t) is the function value of the filtered output signal at time t, which is the signal after filtering, that is, the final result required, and x(t) is the function value of the original input signal at time t, which is the original data obtained from the data acquisition module and needs to be filtered to remove noise; b i is the forward coefficient of the filter, a j is the backward coefficient of the filter, n is the order of the filter, i is the time delay index of the input signal, and j is the time delay index of the output signal.

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