Segmentation compensation-based cable defect degree detection method, equipment and medium

Abstract

The invention discloses a segment compensation-based cable defect degree detection method and device and a medium, and the method comprises the steps: testing a cable through an impedance analyzer to collect an impedance data set, and carrying out the data processing of the impedance data set to determine an original positioning function; determining a plurality of defect peaks of the cable according to the plurality of peak values of the original positioning function, and segmenting the cable according to the plurality of defect peaks to obtain a plurality of cable segments; performing step-by-step recursive calculation on the plurality of cable sections to obtain a plurality of sub-attenuation coefficient frequency domain distribution average values corresponding to the plurality of cable sections, and performing segmented compensation on the original positioning function according to the plurality of sub-attenuation coefficient frequency domain distribution average values to obtain a compensation positioning function; and performing normalization processing on the compensation positioning function to obtain a defect peak amplitude, thereby determining the defect degree of the cable according to the defect peak amplitude. The method is high in precision, high in adaptability and simple and convenient to operate, and the efficiency and accuracy of cable defect detection are remarkably improved.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method, equipment and medium for detecting the degree of cable defects based on segmented compensation. Background Technology

[0002] With the continuous construction and development of power systems, cables have become increasingly crucial in power transmission and distribution, earning them the reputation of being the "blood vessels" and "nerves" of the power system. However, as their service life increases, cables may face various deterioration problems such as insulation aging, localized damage, and water immersion. If these problems are not detected and addressed effectively in a timely manner, they will gradually worsen, potentially leading to serious permanent failures, causing localized or even large-scale power outages, posing a significant challenge and threat to the safe and stable operation of the power system. Summary of the Invention

[0003] To address the aforementioned issues, this application proposes a cable defect severity detection method based on segmented compensation, comprising: testing the cable using an impedance analyzer to collect impedance data sets; processing the impedance data sets to determine an original location function; determining multiple defect peaks of the cable based on multiple peak values ​​of the original location function; segmenting the cable based on the multiple defect peaks to obtain multiple cable segments; performing step-by-step recursive calculations on the multiple cable segments to obtain the average frequency domain distribution of multiple sub-attenuation coefficients corresponding to the multiple cable segments; performing segmented compensation on the original location function based on the average frequency domain distribution of the multiple sub-attenuation coefficients to obtain a compensated location function; normalizing the compensated location function to obtain the defect peak amplitude; and determining the defect severity of the cable based on the defect peak amplitude.

[0004] In one example, testing a cable using an impedance analyzer specifically includes: determining the positive and negative terminals of the impedance analyzer, and identifying the first and second core ends of the cable; connecting the positive terminal to the first core end and the negative terminal to the metal shielding layer of the cable; disconnecting the second core end from the metal shielding layer and testing it using the impedance analyzer to obtain first impedance data; and connecting the second core end back to the metal shielding layer and testing it using the impedance analyzer to obtain second impedance data.

[0005] In one example, data processing of the impedance data set specifically includes: calculating based on the impedance data set to obtain a frequency-varying attenuation coefficient and a frequency-varying phase shift coefficient; determining the average frequency domain distribution of the attenuation coefficient of the cable based on the frequency-varying attenuation coefficient; and determining the average frequency domain distribution of the wave velocity of the cable based on the frequency-varying phase shift coefficient.

[0006] In one example, data processing of the impedance data set specifically includes: determining first impedance data of the impedance data set, and performing defect location algorithm processing on the first impedance data to obtain the original location function, wherein the expression of the original location function is:

[0007] y(x)=FFT{angle[O(f)]·Chebwin(N)}

[0008]

[0009] Where y(x) is the original cable positioning function, FFT represents Fast Fourier Transform, angle represents the phase angle of the complex number, O(f) is the first impedance data, Chebwin(N) is the Chebyshev window function, N is the window length, t is the time variable sequence, Δf is the frequency interval between adjacent sweep points, x is the position variable sequence, and v ent This represents the average frequency domain distribution of the cable's wave velocity.

[0010] In one example, determining multiple defect peaks of the cable based on multiple peaks of the original positioning function specifically includes: determining the first peak and the last peak of the original positioning function, and determining multiple intermediate peaks between the first peak and the last peak; and sequentially marking the multiple intermediate peaks to determine the multiple defect peaks.

[0011] In one example, before performing a step-by-step recursive calculation on the plurality of cable segments, the method further includes: determining the last cable segment and the first cable segment of the plurality of cable segments; determining the average frequency domain distribution of the attenuation coefficient of the cable, and determining the average frequency domain distribution of the sub-attenuation coefficient corresponding to the last cable segment based on the average frequency domain distribution of the attenuation coefficient; determining the factory parameters of the cable, and determining the average frequency domain distribution of the sub-attenuation coefficient corresponding to the first cable segment based on the factory parameters.

[0012] In one example, the calculation of the multiple cable segments is performed step by step, specifically including: based on the average frequency domain distribution of the sub-attenuation coefficient corresponding to the last cable segment and the average frequency domain distribution of the sub-attenuation coefficient corresponding to the first cable segment, the average frequency domain distribution of the sub-attenuation coefficient corresponding to the multiple cable segments is obtained.

[0013] In one example, the original positioning function is segmented and compensated based on the average frequency domain distribution of the plurality of sub-attenuation coefficients. Specifically, this includes: determining the segmented compensation parameters corresponding to the plurality of cable segments; determining the segmented compensation function based on the segmented compensation parameters and the average frequency domain distribution of the plurality of sub-attenuation coefficients; and determining the compensated positioning function based on the segmented compensation function and the original positioning function.

[0014] On the other hand, this application also proposes a cable defect severity detection device based on segmented compensation, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the cable defect severity detection device based on segmented compensation to perform: testing the cable with an impedance analyzer to collect impedance data sets; processing the impedance data sets to determine an original location function; determining multiple defect peaks of the cable based on multiple peaks of the original location function; segmenting the cable based on the multiple defect peaks to obtain multiple cable segments; performing a step-by-step recursive calculation on the multiple cable segments to obtain the average frequency domain distribution of multiple sub-attenuation coefficients corresponding to the multiple cable segments; performing segmented compensation on the original location function based on the average frequency domain distribution of the multiple sub-attenuation coefficients to obtain a compensated location function; normalizing the compensated location function to obtain the defect peak amplitude, thereby determining the defect severity of the cable based on the defect peak amplitude.

[0015] On the other hand, this application also proposes a non-volatile computer storage medium storing computer-executable instructions, which are configured to: test a cable using an impedance analyzer to collect impedance data sets; process the impedance data sets to determine an original positioning function; determine multiple defect peaks of the cable based on multiple peaks of the original positioning function; segment the cable based on the multiple defect peaks to obtain multiple cable segments; perform step-by-step recursive calculations on the multiple cable segments to obtain the average frequency domain distribution of multiple sub-attenuation coefficients corresponding to the multiple cable segments; perform segmented compensation on the original positioning function based on the average frequency domain distribution of the multiple sub-attenuation coefficients to obtain a compensated positioning function; normalize the compensated positioning function to obtain the defect peak amplitude, thereby determining the defect degree of the cable based on the defect peak amplitude.

[0016] This application utilizes an impedance analyzer to test cables, enabling precise acquisition of impedance data and providing a reliable foundation for subsequent data processing. Simultaneously, the data processing considers frequency-varying attenuation coefficients and frequency-varying phase shift coefficients, thus more accurately reflecting the electrical characteristics of the cable. By determining multiple peaks of the original location function, accurate identification of cable defect peaks is achieved. Based on this, the cable is segmented, allowing for step-by-step recursive calculations for different cable segments, improving the accuracy and efficiency of defect detection. This application introduces the concept of segmented compensation, effectively correcting errors in the original location function and improving location accuracy by segmenting and compensating for the average frequency domain distribution of sub-attenuation coefficients corresponding to multiple cable segments. This segmented compensation method is applicable not only to different types of cables but also to the testing needs of cables of varying lengths. Defect peak amplitudes are obtained through normalization, providing a direct reflection of the cable's defect severity. This facilitates real-time monitoring and early warning of cable health status, providing a scientific basis for cable maintenance and management. This application boasts advantages such as high accuracy, strong adaptability, and ease of operation, significantly improving the efficiency and accuracy of cable defect detection and providing strong support for the safe and stable operation of power systems. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a schematic diagram of the amplitude attenuation effect caused by distance and defects in the FDR positioning curve in the embodiments of this application;

[0019] Figure 2 This is a flowchart illustrating a cable defect severity detection method based on segmented compensation in an embodiment of this application.

[0020] Figure 3 This is a schematic diagram of the detection device in an embodiment of this application;

[0021] Figure 4 This is a schematic diagram of the original cable positioning curve in an embodiment of this application;

[0022] Figure 5 This is a schematic diagram of the unified compensation positioning curve in the embodiments of this application;

[0023] Figure 6 This is a schematic diagram of the segmented compensation positioning curve in an embodiment of this application;

[0024] Figure 7 This is a schematic diagram of a cable defect detection device based on segmented compensation in an embodiment of this application. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0027] Frequency Domain Reflectometry (FDR) is a fast, non-destructive, and accurate cable inspection method that is rapidly developing due to its excellent detection capabilities for subtle defects in cables. It obtains data such as the cable's wideband input impedance or reflection coefficient by injecting a continuous low-voltage sweeping signal into the cable, and then converts the frequency domain data into a spatial domain location curve using various analysis methods, thereby enabling the detection and location of cable defects. However, the FDR method still has certain limitations in cable defect diagnosis. Because the signal attenuates with increasing propagation distance in the cable, the amplitude of the defect peak decreases the further the defect location is from the cable end in the FDR location curve; that is, FDR exhibits a distance attenuation effect. Furthermore, in cables with multiple defects, the signal energy is attenuated as it passes through each local defect due to reflection and refraction at the defect site. This leads to a decrease in the peak amplitude of subsequent defects due to attenuation caused by preceding defects. The further back the defect is located and the more defects pass through before it, the more significant the decrease in peak amplitude of subsequent defects becomes. This demonstrates a significant multi-point defect attenuation effect in FDR (Fixed-Diameter Reduction). Because of these two attenuation effects, the amplitude of the defect peak in the FDR location curve often fails to accurately reflect the severity of the defect. Even for defects of the same severity, the peak amplitude will differ depending on its location within the cable.

[0028] Existing frequency domain reflection (FDR) methods suffer from significant distance attenuation effects in locating and diagnosing localized defects in cables. Specifically, as the distance between the defect location and the cable end increases, the amplitude of the defect peak in the FDR location curve gradually decreases. This is because the signal amplitude gradually attenuates with increasing propagation distance within the cable. Consequently, for defects of the same severity, the amplitude of the defect peak in the location curve varies depending on its location within the cable, making it impossible to accurately assess the severity of the defect based solely on the peak amplitude.

[0029] In addition to attenuation due to distance, the signal also attenuates during propagation due to local defects in the cable. When a signal passes through a local defect, it is reflected at that defect, resulting in the signal energy continuing to propagate after refraction being less than the energy of the original incident signal. Therefore, when there are multiple defects in the cable, the peak amplitude of the defect behind will decrease due to attenuation caused by the defects in front, and the further back the defect is located, the more pronounced the decrease in peak amplitude caused by attenuation from multiple defects in front.

[0030] like Figure 1 As shown, keeping the severity of all defects the same, the location curves obtained using FDR are used. Three defect scenarios are sequentially set up in a 300m long coaxial cable: First, two defects are simultaneously set at 100m and 200m from the beginning; second, only one defect is set at 100m; third, only one defect is set at 200m.

[0031] It can be seen that when single-point defects of the same severity are located at 100m and 200m respectively, their defect peak amplitudes exhibit a significant distance attenuation effect. However, when multiple defects exist in the cable, the defect peak amplitudes at 100m and 200m are simultaneously magnified to the same scale (10). -3 It can be observed that the peak amplitude of the defect at 100m under multi-point defects is the same as that under "single-point defect - 100m", while the peak amplitude of the defect at 200m is significantly lower under multi-point defects than under "single-point defect - 200m". This is because the signal attenuates when it passes through the first defect, resulting in a significantly lower signal energy when it propagates to the second defect compared to the case where the signal propagates directly to the second defect without attenuation by the preceding defect.

[0032] like Figure 2 As shown, in order to solve the above problems, this application provides a cable defect degree detection method based on segmented compensation, the method including:

[0033] S101. The cable is tested using an impedance analyzer to collect impedance data sets, and the impedance data sets are processed to determine the original positioning function.

[0034] In one embodiment, such as Figure 3 As shown, the computer, impedance analyzer, and cable under test are connected. The test clamp leading from the impedance analyzer is connected to the first end of the cable under test, with the positive terminal of the clamp connected to the cable core (referred to here as the first core end) and the negative terminal connected to the cable's metal shielding layer.

[0035] With the cable end core (referred to here as the second core end) connected and disconnected from the metal shielding layer respectively, a set of broadband input impedance data of the cable is collected using an impedance analyzer. Specifically, the cable end core is kept disconnected from the metal shielding layer in an unloaded state, and the broadband input impedance O(f) of the cable at this time is measured (referred to here as the first impedance data); the cable end core is then connected to the metal shielding layer using a metal conductor, and the broadband input impedance S(f) of the cable at this time is measured (referred to here as the second impedance data).

[0036] In one embodiment, the frequency-varying attenuation coefficient is calculated based on the impedance data set, and the calculation formula is as follows:

[0037]

[0038] The frequency-varying phase shift coefficient is calculated based on the impedance data set. The calculation formula is as follows:

[0039]

[0040] Where f is the incident signal frequency, l is the total length of the cable under test, Re represents taking the real part, and Im represents taking the imaginary part.

[0041] The average frequency domain distribution of the cable's attenuation coefficient is calculated based on the frequency-varying attenuation coefficient. The formula for calculation is as follows:

[0042]

[0043] Where, α ent f is the average value of the frequency domain distribution of the attenuation coefficient of the cable under test. min f is the lower limit of the frequency sweep range. max This represents the upper limit of the frequency sweep range.

[0044] The average value of the wave velocity frequency domain distribution of the cable is calculated based on the frequency-varying phase shift coefficient. The formula is as follows:

[0045]

[0046] Among them, v ent This represents the average frequency domain distribution of the wave velocity of the cable under test.

[0047] In one embodiment, the measured broadband input impedance O(f) of the cable is processed by a defect location algorithm to obtain the original cable location function, the specific formula of which is:

[0048] y(x)=FFT{angle[O(f)]·Chebwin(N)}

[0049]

[0050] Where y(x) is the original cable positioning function, FFT represents Fast Fourier Transform, angle represents the phase angle of the complex number, O(f) is the wideband input impedance of the cable, Chebwin(N) is the Chebyshev window function, N is the window length, t is the time variable sequence, Δf is the frequency interval between adjacent sweep points, and x is the position variable sequence.

[0051] Furthermore, by plotting the curve of y(x) as a function of x, the original positioning curve of the cable can be obtained.

[0052] S102. Determine multiple defect peaks of the cable based on multiple peaks of the original positioning function, and segment the cable according to the multiple defect peaks to obtain multiple cable segments.

[0053] In one embodiment, the original positioning curve of the cable is observed to locate the cable's beginning peak and end peak, and all defect peaks between the beginning and end peaks are identified. The coordinates of all these peak points are read and recorded. Let (x0, y0) be the coordinates of the cable's beginning peak, and (x1, y1), (x2, y2), ..., (x... n y n Let be the coordinates of each defect peak, where n is the number of defect peaks, i.e., the number of local defects present in the cable. The defect peaks are sequentially labeled as the 1st, 2nd, ..., nth defect peaks, from the beginning to the end of the cable. Let (x...) L y L () represents the peak coordinates at the end of the cable.

[0054] In one embodiment, n defect peaks divide the entire cable into n+1 segments, which are sequentially labeled as segment 1, segment 2, ..., segment n+1 from the beginning to the end of the cable. The average frequency domain distribution values ​​α1, α2, ..., αn of the sub-attenuation coefficient of each cable segment are calculated sequentially using a step-by-step recursive method. n+1 .

[0055] S103. Perform step-by-step recursive calculations on the multiple cable segments to obtain the average frequency domain distribution of multiple sub-attenuation coefficients corresponding to the multiple cable segments, and perform segmented compensation on the original positioning function based on the average frequency domain distribution of the multiple sub-attenuation coefficients to obtain the compensated positioning function.

[0056] In one embodiment, first, calculate α of the (n+1)th segment of the cable at the very end. n+1 Because α ent This represents the average frequency domain distribution of the attenuation coefficient of the entire tested cable, encompassing the attenuation caused by all n defects. When the signal reaches the (n+1)th segment of the cable, since the signal has already passed through all the preceding n defects, the α value of the (n+1)th segment of the cable... n+1It also includes the attenuation caused by all n defects. Therefore:

[0057] α n+1 =α ent

[0058] Find α1 of the first segment of the cable at the very beginning. Since the signal has not yet been attenuated by any defects when it reaches the first segment of the cable at the very beginning, α1 of the first segment of the cable at the very beginning is equal to the average frequency domain distribution of the attenuation coefficient of the intact cable. This value can be obtained by measuring an intact cable of the same type beforehand, or by consulting the parameter manual of the same type of cable, accessing a database, etc.

[0059] Secondly, calculate α of the nth cable segment. n The calculation formula is:

[0060] Γ L =1

[0061]

[0062] Among them, Γ L Γ is the reflection coefficient at the cable end, which has a value of 1 when the cable end is unloaded; n Let l be the reflection coefficient at the nth defect in the cable under test; n+1 Let l be the length of the (n+1)th cable segment. n+1 =x L -x n Γ1 is the reflection coefficient at the first defect in the cable under test; α n Let α be the average frequency domain distribution of the attenuation coefficient of the nth cable segment. When the signal reaches the nth cable segment, it has already passed through the preceding defect from the first defect to the (n-1)th defect. Therefore, α n This includes the attenuation caused by defects from the 1st to the (n-1th)th, while α n This also represents the average frequency domain distribution of the attenuation coefficient of the cable segment between the 1st and nth defects; 1-n Let l be the distance between the 1st defect and the nth defect. 1-n =x n -x1; Γ0 is the reflection coefficient at the beginning of the cable; l1 is the distance from the beginning of the cable to the first defect, i.e., l1 = x1 - x0; R0 is the internal resistance of the impedance analyzer, usually 50Ω.

[0063] Calculate α of the (n-1)th cable segment n-1 The calculation formula is:

[0064]

[0065] Among them, Γ n-1 Let l be the reflection coefficient at the (n-1)th defect in the cable under test;n Let l be the length of the nth cable segment. n =x n -x n-1 ;α n-1 Let α be the average frequency domain distribution of the attenuation coefficient of the (n-1)th cable segment. When the signal reaches the (n-1)th cable segment, it has already passed through the first defect to the (n-2)th defect, hence α n-1 This includes the attenuation caused by defects from the 1st to the (n-2nd)th, while α n-1 This also represents the average frequency domain distribution of the attenuation coefficient of the cable segment between the first defect and the (n-1)th defect; 1-(n-1) The distance from the 1st defect to the (n-1)th defect is l. 1-(n-1) =x n-1 -x1.

[0066] By iteratively calculating step by step forward, we can obtain α for the i-th cable segment. i Where i = 2, 3, ..., n-2, the recursive formula is:

[0067]

[0068] Among them, Γ i Γ is the reflection coefficient at the i-th defect in the cable under test; i+1 α is the reflection coefficient at the (i+1)th defect in the cable under test; i+1 α is the average frequency domain distribution value of the attenuation coefficient of the (i+1)th cable segment; i Let l be the average frequency domain distribution of the attenuation coefficient of the i-th cable segment; i+1 Let l be the length of the (i+1)th cable segment. i+1 =x i+1 -x i ;l 1-i Let l be the distance from the first defect to the i-th defect. 1-i =x i -x1.

[0069] Thus, the frequency domain average values ​​α1, α2, ..., αn of the sub-attenuation coefficients of the 1st, 2nd, ..., n+1th cable segments are obtained. n+1 .

[0070] In one embodiment, the original cable positioning curve is segmented and compensated, and the compensated positioning curve is plotted. Based on α1, α2, ..., α... n+1 Construct a piecewise compensation function, the expression of which is:

[0071]

[0072] Where Comp(x) is the piecewise compensation function, k1, k2, ..., kn k n+1 This is a parameter of the piecewise compensation function, and its calculation formula is as follows:

[0073]

[0074] The expression for the compensated positioning function is:

[0075] y comp (x) = y(x) / Comp(x)

[0076] Among them, y comp (x) is the location function after piecewise compensation, i.e., the compensated location function. Plot y comp The positioning curve after piecewise compensation can be obtained by finding the curve of (x) as a function of x.

[0077] S104. The compensation positioning function is normalized to obtain the defect peak amplitude value, and the defect degree of the cable is determined based on the defect peak amplitude value.

[0078] Using the peak amplitude value at the cable end after segmented compensation as a benchmark, comprehensive normalization of the positioning curve after segmented compensation is crucial to ensuring the accuracy of the assessment results. This process yields normalized defect peak amplitude values, accurately and quantitatively characterizing the severity of each defect in the cable. At this point, the obtained defect peak amplitude value becomes a pure function, depending solely on the severity of the defect itself, and no longer affected by the defect's location within the cable. This characteristic, when dealing with cables with multiple defects, allows for an objective and accurate assessment of the severity of each defect by directly comparing the defect peak amplitude values ​​at different locations. This not only provides strong data support for cable maintenance personnel but also helps them develop more scientific and effective maintenance plans, thereby ensuring the safe and stable operation of the power system.

[0079] In one embodiment, a 300m long RG-58 coaxial cable is used as the simulation modeling object. Two local defects are simultaneously set at 100m and 200m from the cable end, keeping the severity of the defects the same, and the frequency sweep range is set to 0.01~50MHz. Figure 4 As shown, this is the original cable location curve without compensation, obtained based on FDR. In the original cable location curve, due to the distance attenuation effect and the multi-point defect attenuation effect, defects of the same severity at different locations exhibit significant attenuation in their defect peak amplitude values, with large differences between the two. In this case, it is impossible to accurately determine the severity of the defect based on the defect peak amplitude.

[0080] like Figure 5As shown, the original cable positioning curve is compensated for attenuation using a unified standard, resulting in a unified compensated positioning curve. After unified compensation, the amplitude values ​​of the two defect peaks become nearly identical, with an absolute difference of 0.0103. The compensation error, i.e., the percentage difference, is 9.74%. The unified compensation method can only compensate for the distance attenuation effect present in the original cable positioning curve, but cannot compensate for the attenuation effect of multi-point defects, therefore, a significant compensation error still exists.

[0081] like Figure 6 As shown, the segmented compensation positioning curve obtained in the above embodiment is used. After segmented compensation, the amplitude values ​​of the two defect peaks are almost the same, with an absolute difference of 0.0001, and the compensation error is 0.10%. Compared with the uniform compensation method, the compensation accuracy is improved by 97.3 times. This segmented compensation method can effectively compensate for the distance attenuation effect and multi-point defect attenuation effect in the original cable positioning curve, significantly improving the compensation accuracy and enabling accurate and quantitative assessment of the defect degree of cables with multi-point defects.

[0082] like Figure 7 As shown in the illustration, this application also provides a cable defect severity detection device based on segmented compensation, comprising:

[0083] At least one processor; and,

[0084] A memory communicatively connected to the at least one processor; wherein,

[0085] The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the cable defect detection device based on segmented compensation to perform the following:

[0086] The cable is tested using an impedance analyzer to collect impedance data sets, and the impedance data sets are processed to determine the original positioning function.

[0087] Multiple defect peaks of the cable are determined based on multiple peak values ​​of the original positioning function, and the cable is segmented based on the multiple defect peaks to obtain multiple cable segments;

[0088] The multiple cable segments are recursively calculated step by step to obtain the average frequency domain distribution of multiple sub-attenuation coefficients corresponding to the multiple cable segments, and the original positioning function is segmented and compensated according to the average frequency domain distribution of the multiple sub-attenuation coefficients to obtain the compensated positioning function.

[0089] The compensation positioning function is normalized to obtain the defect peak amplitude, and the degree of defect of the cable is determined based on the defect peak amplitude.

[0090] This application embodiment also provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0091] The cable is tested using an impedance analyzer to collect impedance data sets, and the impedance data sets are processed to determine the original positioning function.

[0092] Multiple defect peaks of the cable are determined based on multiple peak values ​​of the original positioning function, and the cable is segmented based on the multiple defect peaks to obtain multiple cable segments;

[0093] The multiple cable segments are recursively calculated step by step to obtain the average frequency domain distribution of multiple sub-attenuation coefficients corresponding to the multiple cable segments, and the original positioning function is segmented and compensated according to the average frequency domain distribution of the multiple sub-attenuation coefficients to obtain the compensated positioning function.

[0094] The compensation positioning function is normalized to obtain the defect peak amplitude, and the degree of defect of the cable is determined based on the defect peak amplitude.

[0095] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device and medium embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the description of the method embodiments.

[0096] The devices and media provided in this application are one-to-one with the methods. Therefore, the devices and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0097] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0101] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0102] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0103] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0104] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0105] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A cable defect degree detection method based on segmented compensation, characterized in that: include: Testing the cable by using an impedance analyzer to collect an impedance data set, and performing data processing on the impedance data set to determine an original positioning function; Determining multiple defect peaks of the cable according to multiple peaks of the original positioning function, and segmenting the cable according to the multiple defect peaks to obtain multiple cable segments; Performing recursive calculations on the multiple cable segments step by step to obtain frequency domain distribution average values ​​of multiple sub-attenuation coefficients corresponding to the multiple cable segments, and performing segmented compensation on the original positioning function according to the frequency domain distribution average values ​​of the multiple sub-attenuation coefficients to obtain a compensated positioning function; The compensation positioning function is normalized to obtain a defect peak amplitude, so as to determine the defect degree of the cable according to the defect peak amplitude.

2. The method according to claim 1, characterized in that The cable is tested using an impedance analyzer, including: Determine the positive pole and the negative pole of the impedance analyzer, and determine the first core end and the second core end of the cable; Connecting the positive electrode to the first wire core end, and connecting the negative electrode to the metal shielding layer of the cable; Disconnecting the second wire core end from the metal shielding layer and testing it with the impedance analyzer to obtain first impedance data; The second wire core end is connected to the metal shielding layer and tested by the impedance analyzer to obtain second impedance data.

3. The method according to claim 1, characterized in that The impedance data group is subjected to data processing, specifically comprising: Calculating according to the impedance data group to obtain a frequency-dependent attenuation coefficient and a frequency-dependent phase shift coefficient; The frequency domain distribution average value of the attenuation coefficient of the cable is determined according to the frequency-variable attenuation coefficient, and the frequency domain distribution average value of the wave velocity of the cable is determined according to the frequency-variable phase shift coefficient.

4. The method according to claim 1, characterized in that The impedance data group is processed, specifically including: Determine the first impedance data of the impedance data group, and perform defect location algorithm processing on the first impedance data to obtain the original location function, wherein the expression of the original location function is: y(x)=FFT{angle[O(f)]·Chebwin(N)} Wherein, y(x) is the original cable positioning function, FFT stands for fast Fourier transform, angle stands for the phase angle of the complex number, O(f) is the first impedance data, Chebwin(N) is the Chebyshev window function, N is the window length, t is the time variable sequence, Δf is the frequency interval between adjacent sweep points, x is the position variable sequence, v ent is the average value of the wave velocity distribution in the cable in the frequency domain.

5. The method according to claim 1, characterized in that Determining the multiple defect peaks of the cable according to the multiple peaks of the original positioning function specifically includes: Determine a first end peak and a terminal peak of the original positioning function, and determine a plurality of intermediate peaks between the first end peak and the terminal peak; The multiple intermediate peaks are marked in sequence to determine the multiple defect peaks.

6. The method according to claim 1, characterized in that Before performing step-by-step recursive calculation on the plurality of cable segments, the method further includes: Determine the end-most cable segment and the beginning-most cable segment of the plurality of cable segments; Determine a frequency domain distribution average value of the attenuation coefficient of the cable, and determine a frequency domain distribution average value of the sub-attenuation coefficient corresponding to the terminal cable segment according to the frequency domain distribution average value of the attenuation coefficient; The factory parameters of the cable are determined, and the average value of the frequency domain distribution of the sub-attenuation coefficient corresponding to the first-end cable segment is determined according to the factory parameters.

7. The method according to claim 6, characterized in that The multiple cable segments are recursively calculated step by step, specifically including: The average frequency domain distribution value of the sub-attenuation coefficient corresponding to the endmost cable segment and the average frequency domain distribution value of the sub-attenuation coefficient corresponding to the beginningmost cable segment are recursively deduced step by step to obtain the average frequency domain distribution value of the sub-attenuation coefficient corresponding to the multiple cable segments.

8. The method according to claim 1, characterized in that The original positioning function is segmentedly compensated according to the average values ​​of the frequency domain distribution of the multiple sub-attenuation coefficients, specifically comprising: Determine segmented compensation parameters corresponding to the plurality of cable segments, and determine a segmented compensation function according to the segmented compensation parameters and the average values ​​of the frequency domain distribution of the plurality of sub-attenuation coefficients; The compensated positioning function is determined according to the piecewise compensation function and the original positioning function.

9. A cable defect degree detection device based on segmented compensation, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the cable defect degree detection device based on segment compensation to perform: Testing the cable by using an impedance analyzer to collect an impedance data set, and performing data processing on the impedance data set to determine an original positioning function; Determining multiple defect peaks of the cable according to multiple peaks of the original positioning function, and segmenting the cable according to the multiple defect peaks to obtain multiple cable segments; Performing recursive calculations on the multiple cable segments step by step to obtain frequency domain distribution average values ​​of multiple sub-attenuation coefficients corresponding to the multiple cable segments, and performing segmented compensation on the original positioning function according to the frequency domain distribution average values ​​of the multiple sub-attenuation coefficients to obtain a compensated positioning function; The compensation positioning function is normalized to obtain a defect peak amplitude, so as to determine the defect degree of the cable according to the defect peak amplitude.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: Testing the cable by using an impedance analyzer to collect an impedance data set, and performing data processing on the impedance data set to determine an original positioning function; Determining multiple defect peaks of the cable according to multiple peaks of the original positioning function, and segmenting the cable according to the multiple defect peaks to obtain multiple cable segments; Performing recursive calculations on the multiple cable segments step by step to obtain frequency domain distribution average values ​​of multiple sub-attenuation coefficients corresponding to the multiple cable segments, and performing segmented compensation on the original positioning function according to the frequency domain distribution average values ​​of the multiple sub-attenuation coefficients to obtain a compensated positioning function; The compensation positioning function is normalized to obtain a defect peak amplitude, so as to determine the defect degree of the cable according to the defect peak amplitude.

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