CN115754598A - Cable fault finding method and device based on relevant filtering - Google Patents
Cable fault finding method and device based on relevant filtering Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of fault finding, and discloses a cable fault finding method and device based on relevant filtering. The method comprises the following steps: inputting a pulse signal to the cable from a first end of the cable, and determining a target one-dimensional vector; voltage sampling is carried out on the first end according to fixed sampling frequency and sampling duration, a sampling data set is obtained, and the number of elements in the association vector is determined; constructing an association vector set; performing point multiplication operation on the target one-dimensional vector and all the associated vectors in the associated vector set to obtain a plurality of solving results; clustering the solving results by using the time sequence of the pulse signals to obtain two cluster sets, and obtaining the maximum value of the solving results in the two cluster sets; the time of the pulse signal corresponding to the two maxima is determined. By implementing the embodiment of the invention, a related filtering target tracking thought is introduced to track the pulse signal, so that an accurate time difference is determined, a fault position is searched, and the accuracy of fault positioning is ensured.
Description
Technical Field
The invention relates to the technical field of fault finding, in particular to a cable fault finding method and device based on relevant filtering.
Background
The pulse reflection method is to inject a high-voltage high-frequency or direct-current pulse signal into one end of a cable through a pulse transmitting device, the pulse signal fluctuates in the cable in a transient traveling wave mode, and the specific position of a fault can be calculated by recording the time difference from the time when the signal is injected into the transmitting end to the time when the signal is reflected back to the transmitting end from the fault end.
Referring to fig. 1, a high voltage pulse signal is injected into the a terminal, and a first waveform is formed at the a terminal, so that when the high voltage pulse signal encounters a cable fault and the wave impedance is mismatched, a reflection phenomenon occurs, and a reflected transient traveling wave arrives at the a terminal again, and a second waveform is generated at the a terminal. When the pulse reflection method is used, generally, rising edge time points or peak time points of the first waveform and the second waveform are recorded, the transmission time of the high-voltage pulse signal in the cable is determined by using the time difference, and then the fault position is found according to the pulse wave speed. This method, especially when determining the time difference from the rising edge time point, is very prone to cause inaccuracies in the measurement results due to the presence of interference.
Disclosure of Invention
Aiming at the defects, the embodiment of the invention discloses a cable fault finding method and a cable fault finding device based on related filtering, which introduce a target tracking thought of the related filtering and track pulse signals so as to determine an accurate time difference, further find a fault position and ensure the accuracy of fault positioning.
The first aspect of the embodiment of the invention discloses a cable fault finding method based on relevant filtering, which comprises the following steps:
inputting a pulse signal to the cable from a first end of the cable, and determining a target one-dimensional vector;
voltage sampling is carried out on the first end according to fixed sampling frequency and sampling duration, a sampling data set is obtained, and the number M of elements in the association vector is determined based on the target one-dimensional vector;
selecting M adjacent sampling data from the sampling data set to form an association vector, and recording the association vector as X i ＝{x i ，x i+1 ，……x i+M-1 I is more than or equal to 0 and less than or equal to N, N is the total number of the sampled data in the sampled data set, and all the associated vectors form an associated vector set;
performing point multiplication operation on the target one-dimensional vector and all the associated vectors in the associated vector set to obtain a plurality of solving results;
clustering the solving results by using the time sequence of the pulse signals to obtain two cluster sets, and obtaining the maximum value of the solving results in the two cluster sets;
and determining the time of the pulse signals corresponding to the two maximum values, and determining the distance between the cable fault position and the first end according to the time difference of the two maximum values and the propagation speed of the pulse wave in the cable.
As a preferred embodiment, in the first aspect of the embodiments of the present invention, inputting a pulse signal to the cable from the first end of the cable, and determining a target one-dimensional vector, includes:
inputting pulse signals with the same parameters to the first end for multiple times, and acquiring multiple voltage waveform diagrams through a voltage transformer;
determining a peak mean value and a peak time average point according to the voltage waveform diagram;
determining the element number 2K +1 in the target one-dimensional vector based on the peak mean value and the peak time average point so as to enable the peak mean value to be located at the center position of the target one-dimensional vector;
the number M of the relevance vectors is equal to 2J +1, and J > K.
As a preferred embodiment, in the first aspect of the embodiments of the present invention, selecting M adjacent sampled data from the sampled data set to form an association vector includes:
selecting M adjacent sampling data backward as a first relevance vector from a first element of the sampling data set;
starting from a second element of the sampling data set, and selecting M sampling data backward as a second relevance vector;
analogizing in sequence to obtain the Nth association vector;
and when less than M sampling data are selected backwards, completing construction of corresponding association vectors through zero filling operation.
As a preferred embodiment, in the first aspect of the embodiment of the present invention, performing a point multiplication operation on the target one-dimensional vector and all correlation vectors in the set of correlation vectors to obtain a plurality of solution results, includes:
taking the central element of the target one-dimensional vector as a center, and performing zero filling operation on two ends of the target one-dimensional vector so as to enable the number of elements of the target one-dimensional vector and the number of elements of the associated vector to be the same;
and multiplying the elements at the same positions of the target one-dimensional vector and the associated vector, and then summing to obtain a solving result.
As a preferred embodiment, in the first aspect of the embodiment of the present invention, clustering the solution result by using a time sequence of a pulse signal to obtain two cluster sets, and obtaining a maximum value of the solution result in the two cluster sets, includes:
clustering is carried out according to time points corresponding to non-zero results in the solving results to obtain two clustering sets of the solving results;
and determining the maximum value of the solution result in each cluster in the two cluster sets.
As a preferred embodiment, in the first aspect of the embodiment of the present invention, determining the time of the pulse signal corresponding to the two maximum values includes:
determining target association vectors corresponding to the two maximum values;
and taking the time point of the pulse signal corresponding to the central element of the target association vector as the starting time and the ending time of the pulse signal.
As a preferred embodiment, in the first aspect of the embodiments of the present invention, determining the distance between the cable fault location and the first end according to the time difference between the first end and the second end and the propagation speed of the pulse wave in the cable includes:
L＝0.5×△T×V
wherein L is the distance between the cable fault location and the first end, Δ T is the difference between the end time and the start time of the pulse signal, and V is the propagation speed of the pulse wave in the cable, said propagation speed being related only to the insulation medium of the cable.
The second aspect of the embodiments of the present invention discloses a cable fault finding device based on correlation filtering, which includes:
the target determining unit is used for inputting a pulse signal to the cable from the first end of the cable and determining a target one-dimensional vector;
the sampling unit is used for carrying out voltage sampling on the first end according to fixed sampling frequency and sampling duration to obtain a sampling data set, and determining the number M of elements in the association vector based on the target one-dimensional vector;
an intercepting unit for selecting adjacent M sampling data from the sampling data set to form an associated vector marked as X i ＝{x i ，x i+1 ，……x i+M-1 I is more than or equal to 0 and less than or equal to N, N is the total number of the sampled data in the sampled data set, and all the associated vectors form an associated vector set;
the point multiplication unit is used for performing point multiplication operation on the target one-dimensional vector and all the associated vectors in the associated vector set to obtain a plurality of solving results;
the clustering unit is used for clustering the solving results by using the time sequence of the pulse signals to obtain two cluster sets and obtain the maximum value of the solving results in the two cluster sets;
and the searching unit is used for determining the time of the pulse signals corresponding to the two maximum values and determining the distance between the cable fault position and the first end according to the time difference of the two maximum values and the propagation speed of the pulse wave in the cable.
As a preferred embodiment, in the second aspect of the embodiments of the present invention, the target determination unit includes:
the acquisition subunit is used for inputting pulse signals with the same parameters to the first end for multiple times and acquiring multiple voltage waveform diagrams through the voltage transformer;
the calculating subunit is used for determining a peak mean value and a peak time mean point according to the voltage waveform diagram;
a determining subunit, configured to determine, based on the peak mean value and the peak time average point, the number of elements 2k +1 in the target one-dimensional vector, so that the peak mean value is located at a center position of the target one-dimensional vector;
the number of relevance vectors M is equal to 2J +1, and J > K.
As a preferred embodiment, in the second aspect of the embodiment of the present invention, the intercepting unit includes:
the first intercepting subunit is used for selecting M adjacent sampling data backwards from a first element of the sampling data set as a first relevance vector;
the second interception subunit is used for selecting M sampling data from a second element of the sampling data set backward to serve as a second relevance vector;
repeating the steps until an Nth association vector is obtained;
and when less than M sampling data are selected backwards, completing construction of corresponding association vectors through zero filling operation.
A third aspect of an embodiment of the present invention discloses an electronic device, including: a memory storing executable program code; a processor coupled with the memory; the processor calls the executable program code stored in the memory for executing the cable fault finding method based on the correlation filtering disclosed in the first aspect of the embodiment of the invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, where the computer program enables a computer to execute a cable fault finding method based on correlation filtering disclosed in the first aspect of the embodiments of the present invention.
A fifth aspect of the embodiments of the present invention discloses a computer program product, which, when running on a computer, causes the computer to execute the method for cable fault finding based on correlation filtering disclosed in the first aspect of the embodiments of the present invention.
A sixth aspect of the present invention discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, and when the computer program product runs on a computer, the computer is enabled to execute the cable fault finding method based on the correlation filtering disclosed in the first aspect of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention introduces a related filtering target tracking thought to track the pulse signal, thereby determining the accurate time difference, further searching the fault position and ensuring the accuracy of fault positioning.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of pulse reflectometry ranging as disclosed in the prior art;
FIG. 2 is a schematic flow chart of a cable fault finding method based on correlation filtering according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a target image and a padding image disclosed in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cable fault finding apparatus based on correlation filtering according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a target determination unit disclosed in the embodiment of the present invention
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first", "second", "third", "fourth", and the like in the description and the claims of the present invention are used for distinguishing different objects, and are not used for describing a specific order. The terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses a cable fault finding method and a cable fault finding device based on related filtering, which are used for tracking pulse signals through a target tracking thought of the related filtering, so that an accurate time difference is determined, a fault position is further found, and the accuracy of fault location is ensured.
Example one
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a cable fault finding method based on correlation filtering according to an embodiment of the present invention. In the embodiment of the present invention, a fault finding is implemented by inputting a high-voltage pulse signal at one end of a cable (which is marked as a monitoring end, for example, an end a in fig. 1), and a voltage monitoring device, for example, a combination of a voltage transformer and an oscilloscope (of course, waveform display may also be implemented by using computer-related software, or other waveform analysis devices, etc.), is provided at the end a. As shown in fig. 2, the cable fault finding method based on correlation filtering includes the following steps:
and S110, inputting a pulse signal to the cable from the first end of the cable, and determining a target one-dimensional vector.
The embodiment of the invention is transferred to target tracking of waveforms according to the application of the related filtering in the field of target tracking as a hint.
The target one-dimensional vector is a tracking target, and in the process from the high-voltage pulse signal input cable to the back reflection, the waveform which is the same as or close to the target one-dimensional vector is found, so that the time difference involved in the pulse reflection method is determined.
The target one-dimensional vector is obtained through a plurality of tests, specifically, high-voltage pulse signals with the same parameters are input to a first end (namely a monitoring end) for a plurality of times, and a voltage waveform diagram is obtained through voltage monitoring equipment formed by a voltage transformer for a plurality of times; artificially labeling a first waveform in a plurality of waveform diagrams, and determining the peak value and the peak time point of the first waveform diagram in each waveform diagram, thereby obtaining the peak average value and the peak time point of the voltage waveform diagrams.
And determining the element number 2K +1 in the target one-dimensional vector based on the peak mean value and the peak time average point so as to enable the peak mean value to be located at the center position of the target one-dimensional vector. And then recording the peak mean value and the peak time average point in any voltage waveform diagram, determining the voltage values of other sampling points around the peak mean value and the peak time at the same sampling frequency as that of subsequent sampling, and forming a target one-dimensional vector by using the voltage values, wherein the element number of the target one-dimensional vector is 2K +1, the peak mean value is positioned in the center of the target one-dimensional vector, and the elements of the target one-dimensional vector can completely cover the first waveform diagram.
And S120, performing voltage sampling on the first end according to fixed sampling frequency and sampling duration to obtain a sampling data set, and determining the number M of elements in the association vector based on the target one-dimensional vector.
The sampling duration is set according to the requirement, in the preferred embodiment of the invention, firstly, the time difference between the high-voltage pulse signal injection cable and the reflected wave returning to the monitoring end is roughly calculated in a manual mode, and the sampling duration is set to be 1.1-1.2 times of the time difference obtained by the rough calculation, for example, T is used as the sampling duration in FIG. 1. Therefore, sampling is started when the high-voltage pulse signal is injected into the cable, and the number of sampling points is determined according to the sampling duration to obtain a sampling data set.
The association vector is similar to a padding window in target tracking, as shown in fig. 3, where a solid line frame is marked as a target image, and a dashed line frame is similar to the padding window, and by continuously moving the position of the padding window in the waveform diagram and performing dot multiplication with the target image, a response image of the maximum value is obtained, so as to determine the peak position.
Because the embodiment of the invention is one-dimensional data, the most original solution of relevant filtering can be adopted, and the method is realized by constructing a one-dimensional vector, namely converting a target image into a target one-dimensional vector, converting a padding window into an association vector, selecting adjacent M sampling data from a sampling data set to form the association vector, wherein the determination of M is determined according to the number of elements of the target one-dimensional vector, and M is also a singular number and is marked as 2J + 1.
S130, selecting M adjacent sampling data from the sampling data set to form an association vector, and recording the association vector as X i ＝{x i ，x i+1 ，……x i+M-1 And i is more than or equal to 0 and less than or equal to N, N is the total number of the sampled data in the sampled data set, and all the associated vectors form an associated vector set.
The manner of obtaining the association vector from the sample data set by interception can be implemented by a shift method, for example, when the ith sample data is the initial, the association vector formed by the ith sample data is marked as the ith association vector, and the ith association vector X i ＝{x i ，x i+1 ，……x i+M-1 }，x i Is marked as the ith sampling data in the sampling data set, when the ith association vector exists and is greater than x N When sampling data, the value is greater than x N Is padded with zeros.
For example, the Nth association vector X N ＝{x N ，0，……0}。
And S140, performing point multiplication operation on the target one-dimensional vector and all the associated vectors in the associated vector set to obtain a plurality of solving results.
When the target one-dimensional vector and the associated vector are subjected to dot multiplication, elements at corresponding positions are multiplied, and then the product of the multiplied elements is added.
Because the number of elements of the target one-dimensional vector is less than that of the associated vector, the two can have the same data amount through the filling operation, and the filling operation has various modes, for example, the positions of the elements less than that of the associated vector can be filled through a target one-dimensional vector shift method, and certainly, the positions of the elements less than that of the associated vector can also be filled with zero, that is, the zero elements with the same number are respectively filled into the two ends of the target one-dimensional vector on the basis of the original elements of the target one-dimensional vector, so that the numbers of the elements of the target one-dimensional vector and the associated vector are the same, and the dot multiplication operation is realized.
S150, clustering the solving results by using the time sequence of the pulse signals to obtain two cluster sets, and obtaining the maximum value of the solving results in the two cluster sets.
As can be seen from fig. 1, after the dot product operation, the data of the two intervals are not zero, and therefore, the peak positions can be determined by selecting the maximum values of the two intervals, and then the time difference between the two peak positions is calculated.
Specifically, clustering is performed at time points corresponding to non-zero results (in order to avoid interference, parts smaller than a preset threshold in the solution result can be changed to zero without affecting the clustering result) in the solution results, so as to obtain two clustering sets of solution results (clustering is performed with continuous non-zero results); and determining the maximum value of the solution result in each cluster in the two cluster sets.
And S160, determining the time of the pulse signals corresponding to the two maximum values, and determining the distance between the cable fault position and the first end according to the time difference of the two maximum values and the propagation speed of the pulse wave in the cable.
After the maximum values of the two solving results are determined, target association vectors corresponding to the two maximum values can be determined (the target association vectors are association vectors obtained by multiplying the target one-dimensional vector point with the target one-dimensional vector point), it can be understood that time points corresponding to the central elements of the target association vectors are recorded as time points of two wave crests of the high-voltage pulse signals corresponding to the two maximum values, then the two time values are subtracted to obtain a time difference of the high-voltage pulse signals injected into the cable and reflected back, and then the time difference is multiplied by the pulse wave speed and then divided by 2, that is, the distance L from the fault position to the detection end:
L＝0.5×△T×V
wherein L is the distance between the cable fault location and the first end, Δ T is the difference between the end time and the start time of the pulse signal, and V is the propagation speed of the pulse wave in the cable, said propagation speed being related only to the insulation medium of the cable.
Example two
Referring to fig. 4, fig. 4 is a schematic structural diagram of a cable fault finding device based on correlation filtering according to an embodiment of the present invention, and fig. 4 shows that the cable fault finding device includes:
a target determining unit 210, configured to input a pulse signal to the cable from a first end of the cable, and determine a target one-dimensional vector;
the sampling unit 220 is configured to perform voltage sampling on the first end according to a fixed sampling frequency and a fixed sampling duration to obtain a sampling data set, and determine the number M of elements in the association vector based on the target one-dimensional vector;
a truncating unit 230, configured to select M adjacent sampled data from the sampled data set to form an association vector, which is denoted as X i ＝{x i ，x i+1 ，x i+M-1 I is more than or equal to 0 and less than or equal to N, N is the total number of the sampled data in the sampled data set, and all the associated vectors form an associated vector set;
a dot multiplication unit 240, configured to perform dot multiplication on the target one-dimensional vector and all the associated vectors in the associated vector set to obtain multiple solution results;
a clustering unit 250, configured to cluster the solution result by using a time sequence of the pulse signal to obtain two cluster sets, and obtain a maximum value of the solution result in the two cluster sets;
and the searching unit 260 is used for determining the time of the pulse signal corresponding to the two maximum values, and determining the distance between the cable fault position and the first end according to the time difference of the two maximum values and the propagation speed of the pulse wave in the cable.
Preferably, referring to fig. 5, the target determining unit 210 includes:
the obtaining subunit 211 is configured to input pulse signals with the same parameters to the first end multiple times, and obtain multiple voltage waveform diagrams through the voltage transformer;
a calculating subunit 212, configured to determine a peak mean value and a peak time average point according to the voltage waveform diagram;
a determining subunit 213, configured to determine, based on the peak mean value and the peak time average point, the number of elements 2k +1 in the target one-dimensional vector, so that the peak mean value is located at the center position of the target one-dimensional vector;
the number of relevance vectors M is equal to 2J +1, and J > K.
As a preferred embodiment, in the second aspect of the embodiment of the present invention, the intercepting unit includes:
the first interception subunit is used for selecting M adjacent sampling data backward from a first element of the sampling data set as a first relevance vector;
the second interception subunit is used for selecting M sampling data from a second element of the sampling data set backward to serve as a second relevance vector;
analogizing in sequence until obtaining the Nth association vector;
and when less than M sampling data are selected backwards, completing construction of corresponding association vectors through zero filling operation.
EXAMPLE III
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 6, the electronic device may include:
a memory 310 storing executable program code;
a processor 320 coupled to the memory 310;
wherein, the processor 320 calls the executable program code stored in the memory 310 to execute some or all of the steps of the cable fault finding method based on the related filtering in the first embodiment.
The embodiment of the invention discloses a computer readable storage medium which stores a computer program, wherein the computer program enables a computer to execute part or all of the steps in the cable fault finding method based on the correlation filtering in the first embodiment.
The embodiment of the invention also discloses a computer program product, wherein when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps in the cable fault finding method based on the correlation filtering in the first embodiment.
The embodiment of the invention also discloses an application publishing platform, wherein the application publishing platform is used for publishing a computer program product, and when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps in the cable fault finding method based on the correlation filtering in the first embodiment.
In various embodiments of the present invention, it should be understood that the sequence numbers of the processes do not mean the execution sequence necessarily in order, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present invention, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the method according to the embodiments of the present invention.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.
Those of ordinary skill in the art will appreciate that some or all of the steps of the methods of the embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, including Read-Only Memory (ROM), random Access Memory (RAM), programmable Read-Only Memory (PROM), erasable Programmable Read-Only Memory (EPROM), one-time Programmable Read-Only Memory (OTPROM), electrically Erasable Programmable Read-Only Memory (EEPROM), compact Disc Read-Only (CD-ROM) or other Memory capable of storing data, magnetic tape, or any other medium capable of carrying computer data.
The method and the device for searching for a cable fault based on relevant filtering disclosed by the embodiment of the invention are described in detail, specific examples are applied in the description to explain the principle and the implementation mode of the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A cable fault finding method based on correlation filtering is characterized by comprising the following steps:
inputting a pulse signal to the cable from a first end of the cable, and determining a target one-dimensional vector;
voltage sampling is carried out on the first end according to fixed sampling frequency and sampling duration, a sampling data set is obtained, and the number M of elements in the association vector is determined based on the target one-dimensional vector;
selecting M adjacent sampling data from the sampling data set to form an association vector, and recording the association vector as X i ＝{x i ，x i+1 ，……x i+M-1 I is more than or equal to 0 and less than or equal to N, N is the total number of the sampled data in the sampled data set, and all the associated vectors form an associated vector set;
performing point multiplication operation on the target one-dimensional vector and all the associated vectors in the associated vector set to obtain a plurality of solving results;
clustering the solving results by using the time sequence of the pulse signals to obtain two cluster sets, and obtaining the maximum value of the solving results in the two cluster sets;
and determining the time of the pulse signals corresponding to the two maximum values, and determining the distance between the cable fault position and the first end according to the time difference of the two maximum values and the propagation speed of the pulse wave in the cable.
2. The correlation filtering based cable fault finding method of claim 1, wherein inputting a pulse signal to the cable from the first end of the cable, determining a target one-dimensional vector, comprises:
inputting pulse signals with the same parameters to the first end for multiple times, and acquiring multiple voltage waveform diagrams through a voltage transformer;
determining a peak mean value and a peak time average point according to the voltage waveform diagram;
determining the element number 2K +1 in the target one-dimensional vector based on the peak mean value and the peak time average point so as to enable the peak mean value to be located at the center position of the target one-dimensional vector;
the number M of the relevance vectors is equal to 2J +1, and J > K.
3. The correlation filtering-based cable fault finding method according to claim 1, wherein selecting M adjacent sampled data from the sampled data set to form an association vector comprises:
selecting M adjacent sampling data backward as a first relevance vector from a first element of the sampling data set;
starting from a second element of the sampling data set, selecting M sampling data backwards as a second relevance vector;
analogizing in sequence to obtain the Nth association vector;
and when less than M sampling data are selected backwards, completing construction of corresponding association vectors through zero filling operation.
4. The correlation filtering-based cable fault finding method according to claim 1, wherein performing a point multiplication operation on the target one-dimensional vector and all correlation vectors in the correlation vector set to obtain a plurality of solution results, includes:
taking the central element of the target one-dimensional vector as a center, and performing zero filling operation on two ends of the target one-dimensional vector so as to enable the number of elements of the target one-dimensional vector and the number of elements of the associated vector to be the same;
and multiplying the elements at the same positions of the target one-dimensional vector and the associated vector, and then summing to obtain a solving result.
5. The correlation filtering-based cable fault finding method according to claim 1, wherein clustering the solution results in a time series of pulse signals to obtain two cluster sets, and obtaining a maximum value of the solution results in the two cluster sets comprises:
clustering is carried out according to time points corresponding to non-zero results in the solving results to obtain two clustering sets of the solving results;
and determining the maximum value of the solution result in each cluster in the two cluster sets.
6. The correlation filtering-based cable fault finding method according to any one of claims 1 to 5, wherein determining the time of the pulse signal corresponding to the two maximum values comprises:
determining target association vectors corresponding to the two maximum values;
and taking the time point of the pulse signal corresponding to the central element of the target association vector as the starting time and the ending time of the pulse signal.
7. The correlation filtering-based cable fault finding method as claimed in claim 6, wherein determining the distance between the cable fault location and the first end according to the time difference between the two and the propagation speed of the pulse wave in the cable comprises:
L＝0.5×△T×V
wherein L is the distance between the cable fault location and the first end, Δ T is the difference between the end time and the start time of the pulse signal, and V is the propagation speed of the pulse wave in the cable, said propagation speed being related only to the insulation medium of the cable.
8. A cable fault finding device based on correlation filtering is characterized by comprising:
the target determining unit is used for inputting a pulse signal to the cable from the first end of the cable and determining a target one-dimensional vector;
the sampling unit is used for carrying out voltage sampling on the first end according to fixed sampling frequency and sampling duration to obtain a sampling data set, and determining the number M of elements in the association vector based on the target one-dimensional vector;
an intercepting unit for selecting adjacent M sampling data from the sampling data set to form an association vectorIs X i ＝{x i ，x i+1 ，……x i+M-1 I is more than or equal to 0 and less than or equal to N, N is the total number of the sampled data in the sampled data set, and all the associated vectors form an associated vector set;
the point multiplication unit is used for performing point multiplication operation on the target one-dimensional vector and all the associated vectors in the associated vector set to obtain a plurality of solving results;
the clustering unit is used for clustering the solving results by using the time sequence of the pulse signals to obtain two cluster sets and obtain the maximum value of the solving results in the two cluster sets;
and the searching unit is used for determining the time of the pulse signals corresponding to the two maximum values and determining the distance between the cable fault position and the first end according to the time difference of the two maximum values and the propagation speed of the pulse wave in the cable.
9. The correlation filtering-based cable fault finding device according to claim 8, wherein the target determining unit comprises:
the acquisition subunit is used for inputting pulse signals with the same parameters to the first end for multiple times and acquiring multiple voltage waveform diagrams through the voltage transformer;
the calculating subunit is used for determining a peak mean value and a peak time mean point according to the voltage waveform diagram;
a determining subunit, configured to determine, based on the peak mean value and the peak time average point, the number of elements 2k +1 in the target one-dimensional vector, so that the peak mean value is located at the center position of the target one-dimensional vector;
the number M of the relevance vectors is equal to 2J +1, and J > K.
10. The correlation filtering-based cable fault finding device according to claim 8, wherein the truncation unit includes:
the first intercepting subunit is used for selecting M adjacent sampling data backwards from a first element of the sampling data set as a first relevance vector;
the second interception subunit is used for selecting M sampling data backward from a second element of the sampling data set as a second relevance vector;
repeating the steps until an Nth association vector is obtained;
and when less than M sampling data are selected backwards, completing construction of corresponding association vectors through zero filling operation.
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