A cable defect positioning method, device and medium

Abstract

The embodiment of the present application discloses a cable defect location method, device and medium. Generate an incident signal corresponding to the cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal of a Gaussian envelope; determine the Gaussian rectangular window boundary corresponding to the reflected signal according to a preset boundary factor; determine the corresponding rectangular window through the Gaussian rectangular window boundary, and determine the energy distribution corresponding to the reflected signal based on the amplitude corresponding to the rectangular window, so as to filter out the signal cross terms corresponding to the reflected signal according to the energy distribution; obtain a cable defect location curve based on a preset cross-correlation function, the incident signal and the reflected signal after filtering out the signal cross terms, so as to determine the cable defect position according to the peak value in the cable defect location curve. The above method improves the accuracy of cable defect location.

Description

Technical Field

[0001] The present application relates to the field of signal processing technology, and in particular to a cable defect location method, device and medium. Background Art

[0002] With the development of the economy, the scope of electric energy is becoming more and more widespread. Cables have become the mainstream means of electric energy transmission due to their stable working environment, large transmission capacity, small footprint, and ability to transmit across the sea.

[0003] The actual service life of most cables is greatly shortened due to wear and tear during installation, humid operating environment, production process errors, etc. If not checked in time, it may cause large-scale power outages, causing huge losses to all walks of life in the country.

[0004] The existing technology usually uses the time-frequency domain reflection method to monitor the cable, and obtains the defect location curve based on the cross-correlation function of the incident signal and the reflected signal in the time-frequency domain. However, in the case of multi-component signals, cross terms usually appear between every two signals, which affects the cable defect location and reduces the accuracy of cable defect location. Summary of the invention

[0005] The embodiments of the present application provide a cable defect location method, device and medium for solving the following technical problems: In the case of multi-component signals, cross terms usually appear between every two signals, thereby reducing the accuracy of cable defect location.

[0006] The present application embodiment adopts the following technical solutions:

[0007] The embodiment of the present application provides a cable defect location method. The method includes generating an incident signal corresponding to a cable to be detected, and obtaining a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal of a Gaussian envelope; determining a Gaussian rectangular window boundary corresponding to the reflected signal according to a preset boundary factor; determining a corresponding rectangular window through the Gaussian rectangular window boundary, and determining an energy distribution corresponding to the reflected signal based on the amplitude corresponding to the rectangular window, so as to filter out the signal cross terms corresponding to the reflected signal according to the energy distribution; obtaining a cable defect location curve based on a preset cross-correlation function, the incident signal, and the reflected signal after filtering out the signal cross terms, so as to determine the defect position of the cable to be detected according to the peak value in the cable defect location curve.

[0008] The embodiment of the present application performs windowing processing on the reflected signal through a Gaussian rectangular window, which can ensure that the width of the rectangular window automatically changes with the parameters of the incident signal, thereby solving the cumbersome problem of adjusting the left and right boundaries of the window each time. Secondly, the embodiment of the present application calculates the amplitude and energy distribution corresponding to the rectangular window, thereby clearing the energy distribution outside the rectangular window while ensuring that the energy distribution in the rectangular window remains unchanged, thereby effectively suppressing the interference of the cross term. Then, by suppressing the reflected signal of the cross term, the cable fault is determined, the accuracy of fault location detection is improved, and the safe and stable operation of the cable is ensured.

[0009] In one implementation of the present application, the Gaussian rectangular window boundary corresponding to the reflected signal is determined according to a preset boundary factor, specifically including: based on the preset boundary factor and the Gaussian window function, obtaining the time boundary value corresponding to the Gaussian window function, and using the negative value of the time boundary value as the left boundary value corresponding to the Gaussian rectangular window, and using the positive value of the time boundary value as the right boundary value corresponding to the Gaussian rectangular window.

[0010] The embodiment of the present application can automatically determine the time boundary value corresponding to the preset Gaussian window function by presetting the Gaussian window function and the preset boundary factor. Therefore, the boundary value of the window can be automatically adjusted according to different incident signals, so as to simplify the cumbersome process of cable detection and improve detection efficiency.

[0011] In one implementation of the present application, based on the amplitude corresponding to the rectangular window, the energy distribution corresponding to the reflected signal is determined, so as to filter out the signal cross terms corresponding to the reflected signal according to the energy distribution, specifically including: based on the Gaussian rectangular window boundary, obtaining multiple different amplitudes; wherein the amplitude corresponding to the Gaussian rectangular window is 1, and the amplitude corresponding to other positions outside the Gaussian rectangular window is 0; determining the energy distributions corresponding to different amplitudes; based on the different amplitudes and the energy distributions corresponding to the different amplitudes, recalculating the energy distribution corresponding to the reflected signal, so as to filter out the signal cross terms corresponding to the reflected signal according to the recalculated energy distribution.

[0012] The embodiment of the present application calculates the energy distribution corresponding to the reflected signal through the amplitude corresponding to the Gaussian rectangular window, thereby ensuring that the energy distribution within the windowing range remains unchanged and the energy distribution at other positions is reset to zero. By reset the energy distribution to zero, the signal cross terms are suppressed, thereby improving the accuracy of cable analysis and the accuracy of locating the cable fault position.

[0013] In one implementation of the present application, based on different amplitudes and energy distributions corresponding to different amplitudes, the energy distribution corresponding to the reflected signal is recalculated, specifically including: performing a dot product calculation on the amplitude corresponding to the rectangular window and the energy amplitude corresponding to the rectangular window to obtain the recalculated energy distribution corresponding to the rectangular window; and performing a dot product calculation on the amplitude corresponding to other positions outside the rectangular window and the energy amplitude corresponding to the other positions outside the rectangular window to clear the energy distribution corresponding to other positions outside the rectangular window, and filtering out the signal cross terms corresponding to the reflected signal by clearing the energy distribution.

[0014] In one implementation of the present application, a cable defect location curve is obtained based on a preset cross-correlation function, an incident signal, and a reflected signal after filtering out signal cross terms, specifically including: adjusting the duration of the incident signal in the preset cross-correlation function according to the width value of the rectangular window; wherein different incident signals correspond to different durations; obtaining an autocorrelation function corresponding to the reflected signal based on the preset cross-correlation function after duration adjustment, the incident signal, and the reflected signal after filtering out signal cross terms; and converting the parameters in the autocorrelation function to obtain the cable defect location curve.

[0015] In one implementation of the present application, the parameters in the autocorrelation function are converted to obtain a cable defect location curve, specifically including: determining the duration of the signal in the autocorrelation function; obtaining the propagation distance of the signal in the cable based on the propagation speed and duration of the signal in the cable, and obtaining the cable defect location curve through the propagation distance.

[0016] In one implementation of the present application, after determining the Gaussian rectangular window boundary corresponding to the reflection signal according to a preset boundary factor, the method also includes: obtaining the duration corresponding to the reflection signal; comparing the duration corresponding to the reflection signal with the Gaussian rectangular window boundary value; when the absolute value of the duration is greater than the Gaussian rectangular window boundary value, determining that the amplitude of the rectangular window is 0; when the absolute value of the duration is less than or equal to the Gaussian rectangular window boundary value, determining that the amplitude of the rectangular window is 1.

[0017] In one implementation of the present application, the corresponding rectangular window is determined by the Gaussian rectangular window boundary, specifically including: according to the formula

[0018]

[0019] The amplitude of the Gaussian rectangular window function is obtained, and the rectangular window is determined according to the amplitude of the Gaussian rectangular window function and the boundary value of the Gaussian rectangular window; wherein, ε is the boundary factor of the Gaussian rectangular window, which is a positive constant close to 0; α is the time span factor of the incident signal; and t is the duration corresponding to the reflected signal.

[0020] An embodiment of the present application provides a cable defect location device, 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, and the instructions are executed by the at least one processor so that the at least one processor can: generate an incident signal corresponding to a cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal of a Gaussian envelope; according to a preset boundary factor, a Gaussian rectangular window boundary corresponding to the reflected signal is determined; a corresponding rectangular window is determined through the Gaussian rectangular window boundary, and based on the amplitude corresponding to the rectangular window, an energy distribution corresponding to the reflected signal is determined, so as to filter out the signal cross terms corresponding to the reflected signal according to the energy distribution; based on a preset cross-correlation function, the incident signal and the reflected signal after filtering out the signal cross terms, a cable defect location curve is obtained, so as to determine the defect position of the cable to be detected according to the peak value in the cable defect location curve.

[0021] A non-volatile computer storage medium provided in an embodiment of the present application stores computer executable instructions, and the computer executable instructions are configured to: generate an incident signal corresponding to a cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal of a Gaussian envelope; determine a Gaussian rectangular window boundary corresponding to the reflected signal according to a preset boundary factor; determine a corresponding rectangular window through the Gaussian rectangular window boundary, and determine an energy distribution corresponding to the reflected signal based on the amplitude corresponding to the rectangular window, so as to filter out signal cross terms corresponding to the reflected signal according to the energy distribution; obtain a cable defect location curve based on a preset cross-correlation function, the incident signal, and the reflected signal after filtering out signal cross terms, so as to determine the defect position of the cable to be detected according to a peak value in the cable defect location curve.

[0022] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects: the embodiments of the present application perform windowing processing on the reflected signal through a Gaussian rectangular window, which can ensure that the width of the rectangular window automatically changes with the parameters of the incident signal, thereby solving the cumbersome problem of adjusting the left and right boundaries of the window each time. Secondly, the embodiments of the present application calculate the amplitude and energy distribution corresponding to the rectangular window, thereby clearing the energy distribution outside the rectangular window while ensuring that the energy distribution in the rectangular window remains unchanged, thereby effectively suppressing the interference of the cross term. Then, by suppressing the reflected signal of the cross term, the cable fault is determined, the accuracy of fault location detection is improved, and the safe and stable operation of the cable is ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor.

[0024] In the figure:

[0025] Figure 1 A schematic diagram of a cable defect location experimental platform provided in an embodiment of the present application;

[0026] Figure 2 A flow chart of a cable defect location method provided in an embodiment of the present application;

[0027] Figure 3 A relationship diagram of various components of an incident signal provided in an embodiment of the present application;

[0028] Figure 4 A schematic diagram of a Gaussian rectangular window provided in an embodiment of the present application;

[0029] Figure 5 A 15m intact cable measured waveform diagram provided in an embodiment of the present application;

[0030] Figure 6 A schematic diagram of a signal distribution result provided in an embodiment of the present application;

[0031] Figure 7 A schematic diagram of signal distribution after Gaussian rectangular window processing provided in an embodiment of the present application;

[0032] Figure 8 A time domain measurement waveform diagram corresponding to a faulty cable provided in an embodiment of the present application;

[0033] Fig. 9 A fault location curve diagram corresponding to a faulty cable provided in an embodiment of the present application;

[0034] Fig.10 A schematic diagram of the structure of a device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0035] Embodiments of the present application provide a cable defect location method, device, and medium.

[0036] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0037] With the development of the economy, the scope of electric energy is becoming more and more widespread. Cables have become the mainstream means of electric energy transmission due to their stable working environment, large transmission capacity, small footprint, and ability to transmit across the sea.

[0038] The actual service life of most cables is greatly shortened due to wear and tear during installation, humid operating environment, production process errors, etc. If not checked in time, it may cause large-scale power outages, causing huge losses to all walks of life in the country.

[0039] The existing technology usually uses the time-frequency domain reflection method to monitor the cable, and obtains the defect location curve based on the cross-correlation function of the incident signal and the reflected signal in the time-frequency domain. However, in the case of multi-component signals, cross terms usually appear between every two signals, which affects the cable defect location and reduces the accuracy of cable defect location.

[0040] In order to solve the above problems, the embodiments of the present application provide a cable defect location method, device and medium. By windowing the reflected signal with a Gaussian rectangular window, it is possible to ensure that the width of the rectangular window automatically changes with the parameters of the incident signal, thereby solving the cumbersome problem of adjusting the left and right boundaries of the window each time. Secondly, the embodiments of the present application calculate the amplitude and energy distribution corresponding to the rectangular window, thereby clearing the energy distribution outside the rectangular window while ensuring that the energy distribution within the rectangular window remains unchanged, thereby effectively suppressing the interference of the cross terms. Then, by suppressing the reflected signal of the cross term, the cable fault is determined, the accuracy of fault location detection is improved, and the safe and stable operation of the cable is ensured.

[0041] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0042] Figure 1 A schematic diagram of a cable defect location experimental platform provided in an embodiment of the present application. Figure 1 As shown, the cable defect location experimental platform includes a computer, a signal generator, an oscilloscope and a cable, wherein a damage defect may exist in the cable.

[0043] In one embodiment of the present application, a computer in the cable defect location experimental platform designs an incident signal waveform and sends the incident signal to a waveform generator. The waveform generator incidents a signal to the cable, and an oscilloscope collects a reflected signal corresponding to the incident signal through a T-shaped connector. A computer is provided to process the reflected signal collected by the oscilloscope. The computer converts the waveform of the collected reflected signal to the time-frequency domain based on PWVD, and the computer solves the cross-correlation function of the incident signal and the reflected signal. The computer converts the cross-correlation function into a cable defect location curve, and uses the obvious peak within the horizontal axis range of the maximum and minimum peak values ​​as the defect peak.

[0044] Figure 2 A flow chart of a cable defect location method provided in an embodiment of the present application. Figure 2 As shown, the cable defect location method includes the following steps:

[0045] S101, a cable defect locating device generates an incident signal corresponding to a cable to be detected, and obtains a reflected signal corresponding to the incident signal, wherein the incident signal is a linear chirp signal with a Gaussian envelope.

[0046] In one embodiment of the present application, a computer generates an incident signal and sends the incident signal to a waveform generator. The waveform generator injects a signal into the cable and collects a reflected signal corresponding to the incident signal through a T-shaped connector.

[0047] Specifically, the incident signal used in the embodiment of the present application is a Gaussian envelope linear chirp signal (GELC signal). The Gaussian part limits its amplitude, while the linear chirp part mainly affects the frequency of the signal, and its expression is as follows:

[0048]

[0049]

[0050]

[0051] Wherein, s(t) is the GELC signal, g(t) is the Gaussian envelope, c(t) is the linear chirp signal, α is the time span factor of the incident signal, β is the signal frequency factor, t0 is the time center of the signal, and ω0 is the frequency center of the signal.

[0052] Figure 3 This is a relationship diagram of various components of an incident signal provided in an embodiment of the present application. Figure 3 As shown in the figure, the horizontal axis is time and the vertical axis is voltage. The duration of the GELC signal is directly related to the Gaussian envelope. The Gaussian part limits its amplitude, while the linear chirp part mainly affects the frequency of the signal.

[0053] S102. The cable defect locating device determines a Gaussian rectangular window boundary corresponding to the reflection signal according to a preset boundary factor.

[0054] In one embodiment of the present application, the method for suppressing cross terms proposed in the embodiment of the present application is a pseudo Wigner-Ville distribution (PWVD) based on a Gaussian-rectangular window, and the expression of the distribution is as follows:

[0055]

[0056] Where t represents the time when the signal is reflected back to the head end of the cable, ω is the instantaneous angular frequency of the signal, τ is the integration time variable, w(τ) is the window function, and R(t,τ) is the autocorrelation function of the signal.

[0057] In one embodiment of the present application, based on a preset boundary factor and a Gaussian window function, a time boundary value corresponding to the Gaussian window function is obtained, and the negative value of the time boundary value is used as the left boundary value corresponding to the Gaussian rectangular window, and the positive value of the time boundary value is used as the right boundary value corresponding to the Gaussian rectangular window.

[0058] Specifically, for the pseudo-Wigner-Ville distribution window function, if the window boundary is combined with a Gaussian function, the window width can be automatically adjusted to match the incident signal, so the Gaussian function of the following expression can be defined

[0059]

[0060] Wherein, α is the time span factor of the incident signal, and t is the time boundary. Since actual windowing is limited in range, the embodiment of the present application uses ε as its positive boundary factor, and its value is greater than 0 and less than 1. By setting the Gaussian function equal to the boundary factor ε, the boundary of the window can be obtained.

[0061] In one embodiment of the present application, a duration corresponding to the reflection signal is obtained. The duration corresponding to the reflection signal is compared with a Gaussian rectangular window boundary value. When the absolute value of the duration is greater than the Gaussian rectangular window boundary value, the amplitude of the rectangular window is determined to be 0. When the absolute value of the duration is less than or equal to the Gaussian rectangular window boundary value, the amplitude of the rectangular window is determined to be 1.

[0062] Specifically, the window function used in the embodiment of the present application is a Gaussian-rectangular window, which combines the advantages of the width of the Gaussian window being able to match the incident signal and the advantage of not changing the energy distribution within the windowing range. Its expression is as follows:

[0063]

[0064] ε is the boundary factor of the Gaussian-rectangular window, which is a positive constant close to 0; α is the time span factor of the incident signal. Among them, the incident signal is

[0065]

[0066] β in the incident signal is the signal frequency factor, t0 is the time center of the signal, and ω0 is the frequency center of the signal. β and α jointly affect the frequency bandwidth Bs of the signal, and the influencing equation is as follows:

[0067]

[0068] The Gaussian-rectangular window proposed in the embodiment of the present application can ensure that the energy distribution within the windowing range remains unchanged while ensuring that the windowing range is appropriate.

[0069] S103. The cable defect locating device determines a corresponding rectangular window through the Gaussian rectangular window boundary, and determines an energy distribution corresponding to the reflected signal based on the amplitude corresponding to the rectangular window, so as to filter out the signal cross terms corresponding to the reflected signal according to the energy distribution.

[0070] In one embodiment of the present application, a plurality of different amplitudes are obtained based on the Gaussian rectangular window boundary. The amplitude corresponding to the Gaussian rectangular window is 1, and the amplitude corresponding to other positions outside the Gaussian rectangular window is 0. The energy distributions corresponding to the different amplitudes are determined. Based on the different amplitudes and the energy distributions corresponding to the different amplitudes, the energy distribution corresponding to the reflected signal is recalculated to filter out the signal cross terms corresponding to the reflected signal according to the recalculated energy distribution.

[0071] Specifically, the amplitude corresponding to the rectangular window is multiplied by the energy amplitude corresponding to the rectangular window to obtain the same energy distribution value as the value before recalculation. The amplitude corresponding to other positions outside the rectangular window is multiplied by the energy amplitude corresponding to the other positions outside the rectangular window to clear the energy distribution corresponding to other positions outside the rectangular window. The signal cross term corresponding to the reflected signal is filtered out by clearing the energy distribution.

[0072] Figure 4 A schematic diagram of a Gaussian rectangular window provided in an embodiment of the present application. Figure 4 As shown, the horizontal axis is time and the vertical axis is amplitude. The left and right boundaries of the rectangular window can be obtained according to the preset boundary factor. Through the Gaussian part and the rectangular window part, the energy distribution within the windowing range can be kept unchanged while ensuring the windowing range is appropriate, thereby filtering out the signal cross terms.

[0073] Figure 5 This is a waveform diagram of a 15m intact cable measured in an embodiment of the present application. Figure 5As shown, in the figure, the incident signal takes α as 2.21×1016, Bs as 120MHz, ω0 as 2π×150MHz, and t0 as 0. The left side is the incident signal, and the right side is the reflected signal corresponding to the incident signal.

[0074] Figure 6 A schematic diagram of a signal distribution result provided in an embodiment of the present application. Figure 6 As shown in the figure, the left side is the incident signal, the right side is the reflected signal, and the middle part is the cross term. In the traditional Wigner-Ville distribution results, cross terms will appear, which will affect the analysis effect of the signal and thus reduce the accuracy of fault location.

[0075] Figure 7 Schematic diagram of signal distribution after Gaussian rectangular window processing provided in an embodiment of the present application. Figure 7 As shown, there is no cross term in the signal distribution after Gaussian rectangular window processing, so when analyzing the signal, the influence of the cross term on the signal is reduced, thereby improving the accuracy of defect location.

[0076] S104. The cable defect locating device obtains a cable defect locating curve based on a preset cross-correlation function, an incident signal, and a reflected signal after filtering out signal cross terms, so as to determine the cable defect position according to a peak value in the cable defect locating curve.

[0077] In one embodiment of the present application, the duration of the incident signal in the preset cross-correlation function is adjusted according to the width value of the rectangular window. Different incident signals have different durations. Based on the preset cross-correlation function after the duration adjustment, the incident signal, and the reflected signal after filtering out the signal cross term, an autocorrelation function corresponding to the reflected signal is obtained. The parameters in the autocorrelation function are converted to obtain a cable defect location curve.

[0078] Specifically, by substituting the incident signal and the reflected signal in the time-frequency domain into the following cross-correlation function formula, the time-frequency domain information can be amplified and converted to the time domain:

[0079]

[0080]

[0081]

[0082] Among them, C(t) is the cross-correlation function; t' is a time variable related to the signal time t; WPr and WPs are the PWVD time-frequency domain distributions of the reflected signal and the incident signal, respectively; EPs and EPr are normalization functions, which ensure that the amplitude of the cross-correlation function is between 0 and 1; Ts is half of the duration of the incident signal, and Ts of different incident signals are different, which will increase the steps of subsequent data processing. Therefore, the embodiment of the present application sets Ts to half of the window width based on the applied Gaussian-rectangular window to ensure that the algorithm automatically adjusts the value of Ts.

[0083] Specifically, through the formula

[0084]

[0085] Automatically adjust the value of Ts.

[0086] In one embodiment of the present application, the duration of the signal in the autocorrelation function is determined, and the propagation distance of the signal in the cable is obtained according to the propagation speed and duration of the signal in the cable, and the cable defect location curve is obtained according to the propagation distance.

[0087] Specifically, after obtaining the autocorrelation function, it is still necessary to convert the independent variable t into the distance x, thereby forming a cable defect location curve. The conversion equation is as follows:

[0088]

[0089] In the above formula, v is the average speed of the signal propagating in the cable, which can be obtained through preliminary experiments. The speed in the embodiment of the present application can be 1.933×108 m / s.

[0090] Figure 8 This is a time domain measurement waveform diagram corresponding to a faulty cable provided in an embodiment of the present application. Figure 8 As shown, a 15m long RG58 coaxial communication cable is used as the test target. A damage defect is set at 6m and measured to obtain a time domain measurement waveform.

[0091] Fig. 9 A fault location curve corresponding to a faulty cable provided in an embodiment of the present application. Fig. 9 As shown, the defective cable is measured to obtain the defect position, and the defect position is marked. The time-frequency domain cable defect location method based on Gaussian-rectangular window in the embodiment of the present application has high accuracy, and the defect is located at 5.954m, which is very close to the set 6m.

[0092] Fig.10 This is a schematic diagram of the structure of a device provided in an embodiment of the present application. Fig.10 As shown, the cable defect locating device comprises:

[0093] at least one processor; and,

[0094] a memory communicatively connected to the at least one processor; wherein,

[0095] The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

[0096] Generate an incident signal corresponding to the cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal with a Gaussian envelope;

[0097] Determining a Gaussian rectangular window boundary corresponding to the reflection signal according to a preset boundary factor;

[0098] Determining a corresponding rectangular window through the Gaussian rectangular window boundary, and determining an energy distribution corresponding to the reflected signal based on an amplitude corresponding to the rectangular window, so as to filter out a signal cross term corresponding to the reflected signal according to the energy distribution;

[0099] Based on the preset cross-correlation function, the incident signal and the reflected signal after filtering out the signal cross terms, a cable defect location curve is obtained, so as to determine the defect position of the cable to be detected according to the peak value in the cable defect location curve.

[0100] The embodiment of the present application further provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0101] Generate an incident signal corresponding to the cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal with a Gaussian envelope;

[0102] Determining a Gaussian rectangular window boundary corresponding to the reflection signal according to a preset boundary factor;

[0103] Determining a corresponding rectangular window through the Gaussian rectangular window boundary, and determining an energy distribution corresponding to the reflected signal based on an amplitude corresponding to the rectangular window, so as to filter out a signal cross term corresponding to the reflected signal according to the energy distribution;

[0104] Based on the preset cross-correlation function, the incident signal and the reflected signal after filtering out the signal cross terms, a cable defect location curve is obtained, so as to determine the defect position of the cable to be detected according to the peak value in the cable defect location curve.

[0105] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0106] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0107] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application should be included in the scope of the claims of the present application.

Claims

1. A cable defect location method, characterized in that: The method comprises: Generate an incident signal corresponding to the cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal with a Gaussian envelope; Determining a Gaussian rectangular window boundary corresponding to the reflection signal according to a preset boundary factor; Determining a corresponding rectangular window through the Gaussian rectangular window boundary, and determining an energy distribution corresponding to the reflected signal based on an amplitude corresponding to the rectangular window, so as to filter out a signal cross term corresponding to the reflected signal according to the energy distribution; Based on a preset cross-correlation function, the incident signal and the reflected signal after filtering out the cross terms of the signal, a cable defect location curve is obtained, so as to determine the defect position of the cable to be detected according to the peak value in the cable defect location curve; Determining the Gaussian rectangular window boundary corresponding to the reflection signal according to the preset boundary factor specifically includes: Based on the preset boundary factor and the Gaussian window function, a time boundary value corresponding to the Gaussian window function is obtained, and a negative value of the time boundary value is used as a left boundary value corresponding to the Gaussian rectangular window, and a positive value of the time boundary value is used as a right boundary value corresponding to the Gaussian rectangular window; Determining a corresponding rectangular window by using the Gaussian rectangular window boundary specifically includes: According to the formula Obtaining the amplitude of the Gaussian rectangular window function, and determining the rectangular window according to the amplitude of the Gaussian rectangular window function and the boundary value of the Gaussian rectangular window; wherein ε is the boundary factor of the Gaussian rectangular window, which is a positive constant close to 0; and α is the time span factor of the incident signal; Based on the amplitude corresponding to the rectangular window, determining the energy distribution corresponding to the reflected signal, so as to filter out the signal cross term corresponding to the reflected signal according to the energy distribution, specifically includes: Based on the Gaussian rectangular window boundary, a plurality of different amplitudes are obtained; wherein the amplitude corresponding to the Gaussian rectangular window is 1, and the amplitude corresponding to other positions outside the Gaussian rectangular window is 0; Determine energy distributions corresponding to the different amplitudes respectively; Based on the different amplitudes and the energy distributions corresponding to the different amplitudes, the energy distribution corresponding to the reflected signal is recalculated, so as to filter out the signal cross term corresponding to the reflected signal according to the recalculated energy distribution; Based on the different amplitudes and the energy distributions corresponding to the different amplitudes, the energy distribution corresponding to the reflected signal is recalculated, specifically including: The amplitude corresponding to the rectangular window is multiplied by the energy amplitude corresponding to the rectangular window to obtain the recalculated energy distribution corresponding to the rectangular window; and the amplitude corresponding to other positions outside the rectangular window is multiplied by the energy amplitude corresponding to the other positions outside the rectangular window to clear the energy distribution corresponding to other positions outside the rectangular window, and the signal cross terms corresponding to the reflected signal are filtered out by clearing the energy distribution.

2. A cable defect location method according to claim 1, characterized in that: The obtaining of the cable defect location curve based on the preset cross-correlation function, the incident signal and the reflected signal after filtering out the signal cross terms specifically includes: According to the width value of the rectangular window, the duration of the incident signal in the preset cross-correlation function is adjusted; wherein different incident signals correspond to different durations; Based on the preset cross-correlation function after the duration is adjusted, the incident signal, and the reflected signal after the signal cross terms are filtered out, an autocorrelation function corresponding to the reflected signal is obtained; The parameters in the autocorrelation function are converted to obtain the cable defect location curve.

3. A cable defect location method according to claim 2, characterized in that: The converting the parameters in the autocorrelation function to obtain the cable defect location curve specifically includes: determining a duration of a signal in the autocorrelation function; According to the propagation speed of the signal in the cable and the duration, the propagation distance of the signal in the cable is obtained, and the cable defect location curve is obtained through the propagation distance.

4. A cable defect location method according to claim 1, characterized in that: After determining the Gaussian rectangular window boundary corresponding to the reflection signal according to the preset boundary factor, the method further includes: Obtaining a duration corresponding to the reflection signal; Comparing the duration corresponding to the reflected signal with the boundary value of the Gaussian rectangular window; When the absolute value of the duration is greater than the boundary value of the Gaussian rectangular window, determining the amplitude of the rectangular window to be 0; When the absolute value of the duration is less than or equal to the boundary value of the Gaussian rectangular window, the amplitude of the rectangular window is determined to be 1.

5. A cable defect locating device, comprising: at least one processor; as well as, 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 at least one processor to: Generate an incident signal corresponding to the cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein the incident signal is a linear chirp signal with a Gaussian envelope; Determining a Gaussian rectangular window boundary corresponding to the reflection signal according to a preset boundary factor; Determining a corresponding rectangular window through the Gaussian rectangular window boundary, and determining an energy distribution corresponding to the reflected signal based on an amplitude corresponding to the rectangular window, so as to filter out a signal cross term corresponding to the reflected signal according to the energy distribution; Based on a preset cross-correlation function, the incident signal and the reflected signal after filtering out the cross terms of the signal, a cable defect location curve is obtained, so as to determine the defect position of the cable to be detected according to the peak value in the cable defect location curve; Determining the Gaussian rectangular window boundary corresponding to the reflection signal according to the preset boundary factor specifically includes: Based on the preset boundary factor and the Gaussian window function, a time boundary value corresponding to the Gaussian window function is obtained, and a negative value of the time boundary value is used as a left boundary value corresponding to the Gaussian rectangular window, and a positive value of the time boundary value is used as a right boundary value corresponding to the Gaussian rectangular window; Determining a corresponding rectangular window by using the Gaussian rectangular window boundary specifically includes: According to the formula Obtaining the amplitude of the Gaussian rectangular window function, and determining the rectangular window according to the amplitude of the Gaussian rectangular window function and the boundary value of the Gaussian rectangular window; wherein ε is the boundary factor of the Gaussian rectangular window, which is a positive constant close to 0; and α is the time span factor of the incident signal; Based on the amplitude corresponding to the rectangular window, determining the energy distribution corresponding to the reflected signal, so as to filter out the signal cross term corresponding to the reflected signal according to the energy distribution, specifically includes: Based on the Gaussian rectangular window boundary, a plurality of different amplitudes are obtained; wherein the amplitude corresponding to the Gaussian rectangular window is 1, and the amplitude corresponding to other positions outside the Gaussian rectangular window is 0; Determine energy distributions corresponding to the different amplitudes respectively; Based on the different amplitudes and the energy distributions corresponding to the different amplitudes, the energy distribution corresponding to the reflected signal is recalculated, so as to filter out the signal cross term corresponding to the reflected signal according to the recalculated energy distribution; Based on the different amplitudes and the energy distributions corresponding to the different amplitudes, the energy distribution corresponding to the reflected signal is recalculated, specifically including: The amplitude corresponding to the rectangular window is multiplied by the energy amplitude corresponding to the rectangular window to obtain the recalculated energy distribution corresponding to the rectangular window; and the amplitude corresponding to other positions outside the rectangular window is multiplied by the energy amplitude corresponding to the other positions outside the rectangular window to clear the energy distribution corresponding to other positions outside the rectangular window, and the signal cross terms corresponding to the reflected signal are filtered out by clearing the energy distribution.

6. A non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to: Generate an incident signal corresponding to the cable to be detected, and obtain a reflected signal corresponding to the incident signal; wherein, The incident signal is a linear chirp signal with a Gaussian envelope; Determining a Gaussian rectangular window boundary corresponding to the reflection signal according to a preset boundary factor; Determining a corresponding rectangular window through the Gaussian rectangular window boundary, and determining an energy distribution corresponding to the reflected signal based on an amplitude corresponding to the rectangular window, so as to filter out a signal cross term corresponding to the reflected signal according to the energy distribution; Based on a preset cross-correlation function, the incident signal and the reflected signal after filtering out the cross terms of the signal, a cable defect location curve is obtained, so as to determine the defect position of the cable to be detected according to the peak value in the cable defect location curve; Determining the Gaussian rectangular window boundary corresponding to the reflection signal according to the preset boundary factor specifically includes: Based on the preset boundary factor and the Gaussian window function, a time boundary value corresponding to the Gaussian window function is obtained, and a negative value of the time boundary value is used as a left boundary value corresponding to the Gaussian rectangular window, and a positive value of the time boundary value is used as a right boundary value corresponding to the Gaussian rectangular window; Determining a corresponding rectangular window by using the Gaussian rectangular window boundary specifically includes: According to the formula Obtaining the amplitude of the Gaussian rectangular window function, and determining the rectangular window according to the amplitude of the Gaussian rectangular window function and the boundary value of the Gaussian rectangular window; wherein ε is the boundary factor of the Gaussian rectangular window, which is a positive constant close to 0; and α is the time span factor of the incident signal; Based on the amplitude corresponding to the rectangular window, determining the energy distribution corresponding to the reflected signal, so as to filter out the signal cross term corresponding to the reflected signal according to the energy distribution, specifically includes: Based on the Gaussian rectangular window boundary, a plurality of different amplitudes are obtained; wherein the amplitude corresponding to the Gaussian rectangular window is 1, and the amplitude corresponding to other positions outside the Gaussian rectangular window is 0; Determine energy distributions corresponding to the different amplitudes respectively; Based on the different amplitudes and the energy distributions corresponding to the different amplitudes, the energy distribution corresponding to the reflected signal is recalculated, so as to filter out the signal cross term corresponding to the reflected signal according to the recalculated energy distribution; Based on the different amplitudes and the energy distributions corresponding to the different amplitudes, the energy distribution corresponding to the reflected signal is recalculated, specifically including: The amplitude corresponding to the rectangular window is multiplied by the energy amplitude corresponding to the rectangular window to obtain the recalculated energy distribution corresponding to the rectangular window; and the amplitude corresponding to other positions outside the rectangular window is multiplied by the energy amplitude corresponding to the other positions outside the rectangular window to clear the energy distribution corresponding to other positions outside the rectangular window, and the signal cross terms corresponding to the reflected signal are filtered out by clearing the energy distribution.

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