Cable defect location method and apparatus

Abstract

The application discloses a cable defect positioning method and device. The method comprises the following steps: collecting waveform data of a pulse wave transmitted on a cable; performing wavelet extraction on the waveform data to obtain wavelet data; extracting peak time points and peak amplitudes of a plurality of wave peaks appearing in the wavelet data; taking any wave peak of the plurality of wave peaks as an incident wave, detecting whether there is a reflection wave corresponding to the any wave peak in the wave peak after the any wave peak based on the peak time points and the peak amplitudes of the plurality of wave peaks to obtain detection results corresponding to the plurality of wave peaks respectively; determining a target wave peak in the plurality of wave peaks with the detection result being the corresponding reflection wave; determining a target position point corresponding to the target wave peak; and determining a defect position of the cable based on the target position point. The application solves the technical problem of difficulty in cable defect positioning in the related art.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric power, in particular to a cable defect positioning method and device. BACKGROUND

[0002] With the development of urbanization, the use of urban power cables increases year by year, and the insulation state of power cables directly determines the reliability of cable operation, and is related to power supply reliability.

[0003] Based on the statistical analysis of the power cable repair records, accident scene photos and fault cable sample materials in the related art, among the main factors causing the operation failure of the power cable, the cable accessory failure accounts for about 80% of the line failure, excluding the influence of external factors, the failure rate of the cable accessory is more than 100 times higher than that of the body. Therefore, as an important link connecting the cable and the cable, the cable and other equipment, and also as a weak link in the cable transmission line, it is of great significance to ensure the stability and safety of power supply to implement effective monitoring on the cable and timely locate potential defects. In the cable system, the cable terminal and the intermediate joint are the weakest links and the positions where insulation failure frequently occurs. Measuring the defect position by using the voltage and / or current row wave signals generated by the failure is a relatively mature technology, which has been successfully applied in power transmission lines and some simple distribution lines.

[0004] However, the signal interference is large on site, and the small partial discharge signals of the signal amplitude are often submerged by interference, and it is difficult to find the waveform of the potential defect, which leads to difficulty in positioning.

[0005] Therefore, in the related art, there is a problem of difficulty in positioning the cable defect.

[0006] In view of the above problems, no effective solution has been proposed so far. SUMMARY

[0007] Embodiments of the present application provide a cable defect positioning method and device to at least solve the technical problem of difficulty in positioning the cable defect in the related art.

[0008] According to an aspect of an embodiment of the present application, a cable defect positioning method is provided, comprising: collecting waveform data of a pulse wave transmitted on a cable; performing wavelet extraction on the waveform data to obtain wavelet data; extracting peak time points and peak amplitudes of a plurality of wave crests appearing in the wavelet data; taking any one of the plurality of wave crests as an incident wave, detecting whether there is a reflection wave corresponding to the any one of the wave crests in a wave crest after the any one of the wave crests based on the peak time points and the peak amplitudes of the plurality of wave crests to obtain detection results corresponding to the plurality of wave crests respectively; determining a target wave crest in the plurality of wave crests whose detection result is that there is a corresponding reflection wave; determining a target position point corresponding to the target wave crest; and determining a defect position of the cable based on the target position point.

[0009] Optionally, the detecting whether there is a reflection wave corresponding to the any one of the wave crests in a wave crest after the any one of the wave crests based on the peak time points and the peak amplitudes of the plurality of wave crests comprises: determining a target time period after a peak time point of the any one of the wave crests; and detecting whether there is a reflection wave corresponding to the any one of the wave crests in a wave crest after the any one of the wave crests within the target time period based on the peak time points and the peak amplitudes of the plurality of wave crests.

[0010] Optionally, the determining the target time period after the peak time point of the any one of the wave crests comprises: obtaining a length of the cable and a transmission speed of the pulse wave; and determining the target time period after the peak time point of the any one of the wave crests based on the length and the transmission speed.

[0011] Optionally, the detecting whether there is a reflection wave corresponding to the any one of the wave crests in a wave crest after the any one of the wave crests based on the peak time points and the peak amplitudes of the plurality of wave crests comprises: determining an attenuation mode of the pulse wave; determining peak amplitude intervals at which the any one of the wave crests attenuates to positions of wave crests after the any one of the wave crests respectively based on the attenuation mode; comparing whether peak amplitudes of the wave crests after the any one of the wave crests are within the corresponding peak amplitude intervals to obtain a comparison result; and determining whether there is a reflection wave corresponding to the any one of the wave crests in the wave crest after the any one of the wave crests in a case that the comparison result is that the peak amplitudes of the wave crests after the any one of the wave crests are within the corresponding peak amplitude intervals.

[0012] Optionally, the determining the attenuation mode of the pulse wave comprises: determining an attenuation coefficient of the pulse wave; and determining the attenuation mode of the pulse wave based on the attenuation coefficient and an attenuation distance.

[0013] Optionally, the determining the target position point corresponding to the target wave peak comprises: acquiring a starting position point of the pulse wave; determining a time length between a time point corresponding to the starting position point and a peak time point corresponding to the target wave peak; and determining the target position point corresponding to the target wave peak based on the starting position point, the time length, a length of the cable, and a transmission rate of the pulse wave.

[0014] Optionally, the determining the defect position of the cable based on the target position point comprises: in a case where the target position point is multiple, clustering the target position points to obtain a clustered position; and determining the clustered position as the defect position of the cable.

[0015] According to another aspect of the present application, there is provided a cable defect positioning method, comprising: a collecting module configured to collect waveform data of a pulse wave transmitted on a cable; a first extracting module configured to perform wavelet extraction on the waveform data to obtain wavelet data; a second extracting module configured to extract peak time points and peak amplitudes of a plurality of wave peaks appearing in the wavelet data; a detecting module configured to take any wave peak of the plurality of wave peaks as an incident wave, and detect whether there is a reflected wave corresponding to the any wave peak in wave peaks after the any wave peak based on the peak time points and the peak amplitudes of the plurality of wave peaks to obtain detection results corresponding to the plurality of wave peaks respectively; a first determining module configured to determine a target wave peak in the plurality of wave peaks whose detection result is that there is a corresponding reflected wave; a second determining module configured to determine a target position point corresponding to the target wave peak; and a third determining module configured to determine a defect position of the cable based on the target position point.

[0016] According to still another aspect of the present application, there is provided a computer readable storage medium comprising a stored program, wherein the program, when executed, controls a device in which the computer readable storage medium is located to perform the cable defect positioning method according to any one of the preceding aspects.

[0017] According to yet another aspect of the present application, there is provided a computer device, comprising: a memory and a processor, the memory storing a computer program; and the processor configured to execute the computer program stored in the memory, the computer program, when executed, causing the processor to perform the cable defect positioning method according to any one of the preceding aspects.

[0018] In the embodiment of the present application, the wavelet extraction is adopted to the collected pulse wave waveform data, the noise wave causing interference can be effectively filtered out through the wavelet extraction, then the peak time point and the peak amplitude of the wave peak extracted from the wavelet data can be used to accurately determine a group of incident waves and reflected waves corresponding to the defect position, so as to avoid missing the cable defects, thereby realizing the technical effect of efficiently and accurately positioning the cable defects, and further solving the technical problem of difficult positioning of the cable defects in the related art. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings, which are included to provide a further understanding of the present application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and together with the description serve to explain the present application. In the drawings:

[0020] Figure 1 is a flowchart of the cable defect positioning method according to the embodiment of the present application;

[0021] Figure 2 is a flowchart of the cable defect positioning method according to the optional embodiment of the present application;

[0022] Figure 3 is an original waveform diagram obtained by collecting the pulse wave transmitted in the cable according to the optional embodiment of the present application;

[0023] Figure 4 is a waveform diagram obtained after the wavelet extraction of the collected original waveform according to the optional embodiment of the present application;

[0024] Figure 5 is a schematic diagram of the data s' corresponding to the dynamic slice time length according to the optional embodiment of the present application;

[0025] Figure 6 is a schematic diagram considering the propagation characteristics and threshold discrimination according to the optional embodiment of the present application;

[0026] Figure 7 is a pulse recognition schematic diagram of multiple defect points according to the optional embodiment of the present application;

[0027] Figure 8 is a positioning schematic diagram based on the cluster analysis and the cluster median according to the optional embodiment of the present application;

[0028] Figure 9 is a structural block diagram of the cable defect positioning device according to the embodiment of the present application. DETAILED DESCRIPTION

[0029] In order to better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts should fall within the scope of the present application.

[0030] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product, or device.

[0031] According to an embodiment of the present application, a method embodiment of a cable defect positioning method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0032] Figure 1 is a flowchart of a cable defect positioning method according to an embodiment of the present application, as shown in Figure 1 the method comprises the following steps:

[0033] Step S102, collecting waveform data of a pulse wave transmitted on a cable;

[0034] As an optional embodiment, the execution subject of the above-mentioned cable defect positioning method can be a terminal or a server. The above-mentioned terminal can be various types of terminals, for example, it can be a computer terminal, a mobile terminal, a virtual terminal, etc., but regardless of the type of terminal, it needs to have a certain computing capability to meet the computing needs. The above-mentioned server can also be in various forms, for example, it can be a single computer device, it can be a computer cluster including multiple computers, it can be a local computing unit, it can also be a remote cloud server, etc.

[0035] As an optional embodiment, when collecting the pulse wave transmitted on the cable, the collection can be performed based on a predetermined collection time or a sampling frequency. The collection time or the sampling frequency can be based on specific transmission requirements and specific characteristics of the cable.

[0036] In step S104, wavelet extraction is performed on the waveform data to obtain wavelet data.

[0037] As an optional embodiment, when performing wavelet extraction on the collected waveform data, a plurality of extraction methods can be used, for example, a predetermined waveform filtering condition can be defined based on the characteristics of the transmission waveform, and the waveform data is filtered to obtain the wavelet data. Through the above wavelet extraction operation, the noise data in the original waveform data collected can be effectively filtered out, and then the stable and clear wavelet caused by the cable defect is left, and then the subsequent data processing and the positioning of the cable defect are facilitated.

[0038] In step S106, peak time points and peak amplitudes of a plurality of wave peaks appearing in the wavelet data are extracted.

[0039] As an optional embodiment, when extracting the peak time points and the peak amplitudes of the plurality of wave peaks appearing in the wavelet data, a certain peak detection algorithm can be used to detect the plurality of wave peaks in the wavelet data, and determine the peak time points and the peak amplitudes corresponding to the wave peaks. The peak detection algorithm can include a plurality of algorithms, for example, it can be a simple threshold comparison algorithm, for example, a point exceeding the threshold is determined as a peak, or a limitation condition can be added based on the simple threshold, for example, after a point exceeding the threshold, only a few stable points are determined as a peak.

[0040] In step S108, any wave peak of the plurality of wave peaks is taken as an incident wave, based on the peak time points and the peak amplitudes of the plurality of wave peaks, it is detected whether there is a reflected wave corresponding to any wave peak in the wave peak after any wave peak, and a detection result corresponding to each wave peak of the plurality of wave peaks is obtained.

[0041] As an optional embodiment, based on the peak time points and the peak amplitudes of the plurality of wave peaks, it is detected whether there is a reflected wave corresponding to any wave peak in the wave peak after any wave peak, since defects at different positions can emit signals at the same time, in order to distinguish the emission signals caused by different defects, when searching for a group of incident waves and reflected waves corresponding to the cable defect, the effective data length of the incident wave and the reflected wave can be determined first. The determination of the data length can be based on the length of the cable and the transmission speed of the pulse wave in the cable.

[0042] Because the detection of the defect is based on the same suitable target time period set for each defect, the omission of the defect can be effectively avoided. Therefore, the following method can be used to detect whether there is a reflected wave corresponding to any wave peak in the wave peak after any wave peak based on the peak time point and the peak amplitude of the plurality of wave peaks: determining a target time period starting from the peak time point of any wave peak; and detecting whether there is a reflected wave corresponding to any wave peak in the wave peak after any wave peak within the target time period based on the peak time point and the peak amplitude of the plurality of wave peaks. By detecting the reflected wave corresponding to any wave peak in a target time period, the detection of whether there is a corresponding reflected wave in the plurality of wave peaks is realized.

[0043] As an optional embodiment, when determining the target time period starting from the peak time point of any wave peak, the length of the cable and the transmission speed of the pulse wave can be obtained; and the target time period starting from the peak time point of any wave peak is determined based on the length and the transmission speed. The target time period for detection is determined based on the length of the cable, i.e., the length of the transmission pulse wave, and the transmission speed of the pulse wave, so that the determined target time period is considered in the environmental factors, and thus the determined target time period is more accurate and more suitable for detecting a group of incident waves and reflected waves.

[0044] As an optional embodiment, when detecting whether there is a reflected wave corresponding to any wave peak in the wave peak after any wave peak based on the peak time point and the peak amplitude of the plurality of wave peaks, a plurality of methods can be used, for example, the attenuation mode of the pulse wave is first determined; the peak amplitude interval of any wave peak attenuated to the position of the subsequent wave peak is determined based on the attenuation mode; the peak amplitude of the subsequent wave peak is compared with the corresponding peak amplitude interval to obtain a comparison result; and the comparison result is used to determine whether there is a reflected wave corresponding to any wave peak in the wave peak after any wave peak when the peak amplitude of the subsequent wave peak is in the corresponding peak amplitude interval. Through the above processing, when determining the reflected wave corresponding to any wave peak, the degree of the wave peak that can be detected by the cable under normal transmission attenuation can be determined. For example, when the any wave peak can still exist after a certain distance of transmission, the any wave peak can be considered to have a corresponding reflected wave. It should be noted that when determining whether the wave peak after the any wave peak is the wave peak after normal attenuation of the any wave peak, the peak amplitudes of the two wave peaks can be compared, and a certain deviation is allowed in the comparison process, which can be considered as a certain peak amplitude interval.

[0045] As an optional embodiment, when determining the attenuation mode of the pulse wave, the following modes can be adopted: determining the attenuation coefficient of the pulse wave; and determining the attenuation mode of the pulse wave based on the attenuation coefficient and the attenuation distance. The attenuation mode of the pulse wave can be determined based on the characteristics of the pulse wave itself and the transmission environment of the pulse wave. The characteristics of the pulse wave itself can be determined by the attenuation coefficient, and the transmission environment of the pulse wave can be determined by the attenuation distance, i.e., the distance from any wave peak to the detection position.

[0046] In step S110, the target wave peak corresponding to the reflected wave is determined from the multiple wave peaks.

[0047] As an optional embodiment, the target wave peak corresponding to the reflected wave is determined from the multiple wave peaks, and then the defect position of the cable is determined based on the target wave peak.

[0048] In step S112, the target position point corresponding to the target wave peak is determined.

[0049] As an optional embodiment, when determining the target position point corresponding to the target wave peak, the following mode can be adopted: a starting position is determined, and then the target position point corresponding to the target wave peak is determined based on the starting position, the time difference between the time point corresponding to the starting position and the time point corresponding to the target position. Specifically, the starting position point of the pulse wave is obtained, the time length between the time point corresponding to the starting position point and the peak time point corresponding to the target wave peak is determined, and the target position point corresponding to the target wave peak is determined based on the starting position point, the time length, the length of the cable, and the transmission rate of the pulse wave.

[0050] In step S114, the defect position of the cable is determined based on the target position point.

[0051] As an optional embodiment, when determining the defect position of the cable based on the target position point, the target position points are clustered to obtain a clustering position when there are multiple target position points, and the clustering position is determined as the defect position of the cable. Through the above clustering mode, a more accurate defect position can be determined from the multiple target position points corresponding to the target wave peaks. It should be noted that when the multiple target position points are clustered, various modes can be adopted, for example, the mode of directly solving the median can be adopted, and other modes can also be adopted, which will not be illustrated one by one.

[0052] Through the above steps, by using the wavelet extraction on the waveform data of the collected pulse wave, the noise wave causing interference can be effectively filtered out through wavelet extraction, and then the peak time point and the peak amplitude of the wave peak extracted from the wavelet data can be used to accurately determine a group of incident waves and reflected waves corresponding to the defect position, thereby avoiding missing the cable defects, and achieving the technical effect of accurately positioning the cable defects, thereby solving the technical problem of difficult positioning of cable defects in the related art.

[0053] Based on the above embodiments and optional embodiments, an optional implementation is provided.

[0054] In the related art, not only is it difficult to locate defects due to large signal interference, but also when multiple defect points simultaneously generate pulse signals, if the corresponding group of incident waves and reflected waves cannot be accurately found, the defect position cannot be accurately located, and therefore an extraction technology for extracting small signals is needed, and multiple defect positions are located according to the incident waves and reflected waves of the signals.

[0055] Therefore, in the related art, there are noise and multi-point positioning problems in cable field testing: due to large field interference, the distribution network cable is usually three-core unified package without a grounding wire in the middle, and all measurements can only be located at the terminal. When the pulse signal generated at the defect propagates along the cable to the terminal, the signal is attenuated due to the filtering effect of the cable. At the same time, due to large field interference, the pulse signal is submerged in the noise signal, and since the location of the defect may be greater than 1, when multiple defect positions simultaneously discharge, multiple groups of pulses will propagate along the cable, it is difficult to effectively identify the pulse signal and correctly identify the corresponding pulse incident wave and reflected wave, which directly affects the positioning result.

[0056] To solve the above problems, in the optional embodiment of the present application, first, the wavelet extraction technology is introduced, the specified mother wavelet is used to extract the pulse from the time domain waveform data of the specified length, the time axis coordinate of the pulse is determined by using the peak detection technology, then the appropriate data length is determined according to the cable length, and the pulse incident wave and reflected wave are identified in combination with the attenuation characteristics of the pulse signal in the cable, and finally the defect point is determined according to the statistical characteristics, i.e. the clustering information of the positioning points. Through the above processing, the pulse signal in the case of large interference can be effectively extracted, and the pulse incident wave and reflected wave can be correctly found according to the propagation characteristics, and the correct defect position is finally obtained.

[0057] Therefore, in view of the noise and multi-point positioning problems in cable field testing in the related art, considering the problems of small signal extraction, wave head arrival time calculation, and pulse recognition of multiple defect points, in the optional embodiment of the present application, the following cable defect positioning method is provided, Figure 2is a flow chart of a cable defect positioning method according to an optional embodiment of the present application, as shown in Figure 2 The method comprises the following steps:

[0058] 1. Collecting waveform data S, collecting data at a sampling rate fs of at least 10 MS / s, and the length of the collection time is 5 ms, 10 ms or 20 ms, i.e. the length of the data is 1 / n of the time of a power frequency cycle, where n = 1, 2, 4, 10; Figure 3 is an original waveform diagram obtained by collecting a pulse wave transmitted in a cable according to an optional embodiment of the present application, as shown in Figure 3 There are a large number of interference waves in the original waveform.

[0059] 2. Extracting a wavelet from the collected data, the mother wavelet of the wavelet extraction can be a 'db' wavelet, but is not limited to a 'db' wavelet, and a waveform S' after wavelet processing is obtained, Figure 4 is a waveform diagram obtained by extracting a wavelet from the collected original waveform according to an optional embodiment of the present application, as shown in Figure 4 The interference waves existing in the original waveform are filtered out in the waveform;

[0060] 3. The data after wavelet extraction improves the signal-to-noise ratio, and then all peak value sitting time coordinates pulsex = [x1, x2, … xn] in S' are obtained by a peak value detection algorithm, and the corresponding peak value amplitudes pulseamp = [a1, a2, … an] are recorded, where x1 represents the time coordinate of the first peak value, a1 represents the amplitude of the first peak value, and n represents n pulses. The peak value detection algorithm uses a first derivative to obtain;

[0061] 4. According to the data of pulsex and pulseamp, the incident wave and the reflected wave corresponding to each defect point are solved

[0062] a) According to the time coordinates of pulsex and the cable length L, the propagation speed V and the sampling rate fs, slice processing is performed on S' so that the length s of data participating in each operation satisfies the time length T = 2 × L / V × k, where k is a coefficient and can be taken as 1.2, Figure 5 is a schematic diagram of data s' corresponding to a dynamic slice time length according to an optional embodiment of the present application;

[0063] b) Taking the time coordinate of x1 as a starting time t1, all peak value coordinates satisfying the time length T are found, and all peak value coordinates tempx = [x1, x2, x3, …, m] and the corresponding peak value amplitude array tempamp = [a1, a2, …, am] in the time T are obtained;

[0064] c) Assuming that the pulses of tempx and tempamp with i = 2, 3, …, m are all reflected waves of x1, a set of position relations templocation = [locationx1, location2, …, locationm-1] is calculated, which is calculated by using the following formula

[0065]

[0066] d) After obtaining templocation, the peak value of the attenuation characteristics corresponding to the propagation distance is calculated according to the attenuation formula of the pulse propagation in the cable (as shown below, ui is the amplitude of the propagation l distance, u is the original amplitude, and l is the propagation distance), and the location xi that does not conform to the attenuation characteristics is discarded, and the location xi that conforms to the attenuation characteristics is retained, and the following is the discrimination formula, in which α and β are threshold ranges, γ is an attenuation coefficient, a1 is an incident wave amplitude, a r is a reflected wave amplitude, r = 2, 3, …, m, Figure 6 is a schematic diagram for considering propagation characteristics and threshold discrimination provided according to an optional embodiment of the present application, Figure 7 is a pulse recognition schematic diagram of multiple defect points according to an optional embodiment of the present application.

[0067] Propagation attenuation formula: ui = u × exp (-γl)

[0068] Discrimination formula:

[0069] α × a1 × exp (-2γ (L - locationx i ) ≤ a r ≤ β × a1 × exp (-2γ (L - locationx i ))

[0070] e) When a r satisfies the above discrimination formula requirement, it is a correct reflected wave, otherwise it is discarded;

[0071] f) Repeat b-e in the fourth step to obtain a positioning sequence faultlocationcluster that can reflect the real defect position;

[0072] 5. A set of positioning sequences faultlocationcluster that can reflect the real defect position is obtained, after clustering analysis is performed on the sequence, a plurality of cluster centers are obtained, and the median value is solved according to different cluster centers, to obtain the positioning positions of a plurality of defects faultlocation = [fl1, fl2, …, flk], that is, a set of positioning data is obtained, which is a plurality of defect positions. Figure 8 is a positioning schematic diagram based on clustering analysis and clustering median value provided according to an optional embodiment of the present application.

[0073] Through the above optional implementation, the following effective effects are achieved:

[0074] 1. The wavelet extraction technology is adopted, which can not only extract small signals from white noise, but also make the shapes of all pulses similar, which is beneficial to the calculation of the wave head time;

[0075] 2. For the problem that when local discharge signals of different defects occur at the same time, the pulse waves arriving at the terminal are difficult to identify the corresponding incident waves and reflected waves, a dynamic slicing technology based on the cable length is proposed, which can realize the effective data length for reasonably selecting the incident waves and reflected waves considering the cable length;

[0076] 3. For the pulse signals of different defect points in a data length, the attenuation characteristics of the pulse signals in the cable are considered, and the incident waves and reflected waves generated by the same defect point meeting the attenuation characteristics are screened by combining the attenuation characteristic threshold, so that the incident waves and reflected waves corresponding to different defect points are obtained, and then the defect point positions are calculated according to the positioning formula;

[0077] 4. The statistical feature concept is adopted to perform clustering analysis on the calculated positioning points, so as to obtain the clustering features of the positioning points, and the positioning points are obtained by solving the median point of the clustering points, which can improve the robustness of the algorithm and avoid the influence of abnormal data or accidental errors.

[0078] In summary, for the problem that when local discharge signals of different defects occur at the same time, the pulse waves arriving at the terminal are difficult to identify the corresponding incident waves and reflected waves, a dynamic slicing technology based on the cable length is proposed, which realizes the effective data length for reasonably selecting the incident waves and reflected waves according to the cable length. In addition, for the pulse signals of different defect points in a data length, the attenuation characteristics of the pulse signals in the cable are considered, and the incident waves and reflected waves generated by the same defect point meeting the attenuation characteristics are screened by combining the attenuation characteristic threshold, so that the incident waves and reflected waves corresponding to different defect points are obtained, and then the defect point positions are calculated according to the positioning formula, which realizes the purpose of multi-point positioning.

[0079] In the embodiment of the application, a cable defect positioning device is also provided, Figure 9 which is a structural block diagram of the cable defect positioning device according to the embodiment of the application, as shown in Figure 9 The device comprises an acquisition module 91, a first extraction module 92, a second extraction module 93, a detection module 94, a first determination module 95, a second determination module 96 and a third determination module 97, and the device will be described below.

[0080] The collection module 91 is configured to collect waveform data of the pulse wave transmitted on the cable; the first extraction module 92 is connected to the collection module 91 and configured to perform wavelet extraction on the waveform data to obtain wavelet data; the second extraction module 93 is connected to the first extraction module 92 and configured to extract peak time points and peak amplitudes of a plurality of wave crests in the wavelet data; the detection module 94 is connected to the second extraction module 93 and configured to take any wave crest of the plurality of wave crests as an incident wave, and detect, based on the peak time points and the peak amplitudes of the plurality of wave crests, whether there is a reflection wave corresponding to the any wave crest in a wave crest after the any wave crest, to obtain detection results corresponding to the plurality of wave crests respectively; the first determination module 95 is connected to the detection module 94 and configured to determine a target wave crest in the plurality of wave crests, the detection result of which is the corresponding reflection wave; the second determination module 96 is connected to the first determination module 95 and configured to determine a target position point corresponding to the target wave crest; and the third determination module 97 is connected to the second determination module 96 and configured to determine a defect position of the cable based on the target position point.

[0081] In the embodiments of the present application, a computer readable storage medium is also provided, which includes a stored program, wherein the program controls the device where the computer readable storage medium is located to perform the cable defect positioning method of any one of the above when the program is running.

[0082] In the embodiments of the present application, a computer device is also provided, which includes a memory and a processor, the memory stores a computer program, and the processor is configured to execute the computer program stored in the memory, and the computer program makes the processor execute the cable defect positioning method of any one of the above when running.

[0083] The serial numbers of the above embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0084] In the above embodiments of the present application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0085] In the several embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the unit embodiment described above is only schematic. For example, the division of the units can be a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed mutual elements can be indirect coupling or communication connection through some interface, unit or module, and can be electrical or other forms.

[0086] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e. may be located in one place, or may be distributed to multiple units. Part or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.

[0087] In addition, each functional unit in various embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0088] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application, essentially or the part that contributes to the prior art, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various program code storage media.

[0089] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A cable defect location method, characterized in that: include: Collect waveform data of pulse waves transmitted on the cable; Performing wavelet extraction on the waveform data to obtain wavelet data; Extracting peak time points and peak amplitudes of multiple peaks appearing in the wavelet data; Taking any peak of the multiple peaks as an incident wave, based on the peak time points and the peak amplitudes of the multiple peaks, detecting whether there is a reflected wave corresponding to the peak in a peak subsequent to the peak, and obtaining detection results corresponding to the multiple peaks respectively; Determining that among the plurality of wave peaks, a detection result indicates that a target wave peak corresponding to the reflected wave exists; Determining a target position point corresponding to the target wave peak; Based on the target location point, the defect location of the cable is determined.

2. The method according to claim 1, characterized in that The detecting, based on the peak time points and the peak amplitudes of the multiple peaks, whether there is a reflected wave corresponding to any peak in a peak subsequent to the any peak, includes: determining a target time period starting from the peak time point of any of the peaks; Based on the peak time points and the peak amplitudes of the plurality of peaks, it is detected whether a reflected wave corresponding to any peak exists in the peaks within the target time period after the any peak.

3. The method according to claim 2, characterized in that The determining of the target time period starting from the peak time point of any peak includes: obtaining the length of the cable and the transmission speed of the pulse wave; The target time period starting from the peak time point of any one of the peaks is determined based on the length and the transmission speed.

4. The method according to claim 1, wherein The detecting, based on the peak time points and the peak amplitudes of the multiple peaks, whether there is a reflected wave corresponding to any peak in a peak subsequent to the any peak, includes: determining an attenuation mode of the pulse wave; Based on the attenuation mode, respectively determining the peak amplitude interval of the position where the peak is located after any peak attenuates; Comparing whether the peak amplitude of the subsequent wave peak is within the corresponding peak amplitude interval to obtain a comparison result; If the comparison result shows that the peak amplitude of the subsequent peak is within the corresponding peak amplitude interval, it is determined whether there is a reflected wave corresponding to any peak in the peak following the any peak.

5. The method according to claim 4, characterized in that Determining the attenuation mode of the pulse wave includes: determining an attenuation coefficient of the pulse wave; Based on the attenuation coefficient and the attenuation distance, an attenuation mode of the pulse wave is determined.

6. The method according to claim 1, characterized in that Determining the target position point corresponding to the target wave peak includes: Obtaining the starting position of the pulse wave; Determine the duration between the time point corresponding to the starting position point and the peak time point corresponding to the target peak; Based on the starting position point, the duration, the length of the cable, and the transmission rate of the pulse wave, a target position point corresponding to the target wave peak is determined.

7. The method according to any one of claims 1 to 6, characterized in that The step of determining the defect location of the cable based on the target location point includes: In the case where there are multiple target location points, clustering the target location points to obtain cluster locations; The cluster position is determined as the defect position of the cable.

8. A cable defect location method, characterized in that: include: An acquisition module, used for acquiring waveform data of the pulse wave transmitted on the cable; A first extraction module, configured to perform wavelet extraction on the waveform data to obtain wavelet data; A second extraction module is used to extract the peak time points and peak amplitudes of multiple peaks appearing in the wavelet data; a detection module, configured to use any peak of the multiple peaks as an incident wave, and based on the peak time points and peak amplitudes of the multiple peaks, detect whether there is a reflected wave corresponding to the peak in a peak subsequent to the peak, thereby obtaining detection results corresponding to the multiple peaks; A first determining module is configured to determine whether a detection result indicates that a target peak corresponding to a reflected wave exists among the plurality of peaks; A second determining module is used to determine a target position point corresponding to the target wave peak; The third determining module is configured to determine a defect location of the cable based on the target location point.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the cable defect location method according to any one of claims 1 to 7.

10. A computer device, characterized in that: include: memory and processor, The memory stores a computer program; The processor is configured to execute a computer program stored in the memory, and when the computer program is run, the processor is enabled to execute the cable defect locating method according to any one of claims 1 to 7.

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