Intelligent positioning method and device for ultra-high frequency partial discharge signal source

Abstract

This application discloses a method and device for intelligently locating a UHF partial discharge signal source. The method comprises: determining a partial discharge signal model for a pair of adjacent measuring points based on characteristic parameters of the partial discharge signal; the pair comprising a first and a second adjacent measuring point; obtaining an energy focusing result of the partial discharge signal at the initial moment based on the partial discharge signal model; the energy focusing result represents the peak value of the partial discharge signal; and determining a reference position of the partial discharge signal source based on the energy focusing result at the initial moment. This method can intelligently locate the UHF partial discharge signal source, eliminating random errors caused by manual positioning, and laying a theoretical foundation for analyzing partial discharge signal sources and determining equipment operation.

Description

Technical Field

[0001] The present application relates to the technical field of partial discharge detection and positioning of high-voltage electrical equipment, and in particular to an intelligent positioning method and device for an ultra-high frequency partial discharge signal source. Background Art

[0002] The stable operation of gas-insulated high-voltage electrical equipment directly impacts the reliability of power transmission and distribution. Under actual operating conditions, unreliable contact between components, surface and internal defects of different insulators, and metallic foreign matter can all lead to partial discharge within the equipment, seriously threatening the operational stability of high-voltage electrical equipment.

[0003] When high-voltage electrical equipment generates partial discharge (PD), the rapidly fluctuating current pulses generate ultra-high-frequency electromagnetic signals, known as partial discharge (PD) signals (also known as PD signals). PD analysis of electrical equipment involves analyzing defect types based on the statistical characteristics of the signals and locating the PD signals to determine their actual source. Currently, time-difference positioning (TD) is widely used to locate PD signal sources. This involves acquiring raw PD signals from different measurement points (usually two adjacent points) using a high-speed oscilloscope or high-speed acquisition card. The PD signal's start time is currently primarily determined manually, with the PD source estimated based on the time difference between the start times of the different measurement points.

[0004] However, when conducting actual measurements of UHF PD signals on site, the manual extraction results are highly random and greatly affected by the operations of on-site personnel. The use of manual starting time extraction is very prone to noise and measurement errors of the starting time of the PD signal, resulting in abnormal positioning of the PD signal source, affecting the effective evaluation and defect determination of electrical equipment. Summary of the Invention

[0005] The present application provides a method and device for intelligently locating a UHF partial discharge signal source, the purpose of which is to achieve intelligent positioning of the partial discharge signal source.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] An intelligent positioning method for a UHF partial discharge signal source, comprising:

[0008] Determining a partial discharge signal model of a pair of measuring points based on characteristic parameters of the partial discharge signal; the pair of measuring points includes a first measuring point and a second measuring point located adjacent to each other;

[0009] Based on the partial discharge signal model, obtaining an energy focusing result of the partial discharge signal at a starting moment; wherein the energy focusing result represents a peak value of the partial discharge signal;

[0010] Based on the energy focusing result at the starting moment, a reference position of the partial discharge signal source is determined.

[0011] Optionally, based on characteristic parameters of the partial discharge signal, a partial discharge signal model for the measurement point pair is determined, including:

[0012] Obtaining characteristic parameters of a partial discharge signal; the characteristic parameters include pulse width, sampling frequency, oscillation frequency, and voltage amplitude;

[0013] determining a first duration sequence based on the pulse width and the sampling frequency;

[0014] Determining a duration model of the partial discharge signal based on the first duration sequence in combination with the oscillation frequency and the voltage amplitude;

[0015] Obtain the interval distance between the first measuring point and the second measuring point in the measuring point alignment;

[0016] determining a second duration sequence corresponding to a duty cycle of the partial discharge signal based on a distance between the first measuring point and the second measuring point and the sampling frequency;

[0017] determining a full-time parameter based on the first duration sequence and the second duration sequence;

[0018] A partial discharge signal model of the pair of measuring points is determined based on the duration model and the full-time parameter.

[0019] Optionally, obtaining an energy focusing result of the partial discharge signal at a starting moment based on the partial discharge signal model includes:

[0020] determining an envelope characteristic of the partial discharge signal based on the partial discharge signal model;

[0021] Using a preset sum and difference filter model, convolution processing is performed on the envelope feature to obtain an energy focusing result of the envelope feature;

[0022] A modulus calculation is performed on the energy focusing result to obtain the energy focusing result of the partial discharge signal at the starting moment.

[0023] Optionally, determining the envelope characteristics of the partial discharge signal based on the partial discharge signal model includes:

[0024] Obtaining an improved Hilport transform of the partial discharge signal based on partial discharge signal models corresponding to the first measuring point and the second measuring point;

[0025] Based on the improved Hilport transform and in combination with the partial discharge signal, the envelope characteristics of the partial discharge signal are obtained.

[0026] Optionally, determining a reference position of a partial discharge signal source based on the energy focusing result at the starting moment includes:

[0027] determining, based on the energy focusing result at the starting moment, a time delay difference between the first measuring point and the second measuring point when collecting the partial discharge signal;

[0028] Based on the time delay difference, a reference position of the partial discharge signal source is determined.

[0029] Optionally, determining the time delay difference between the first measuring point and the second measuring point when collecting the partial discharge signal based on the energy focusing result at the starting moment includes:

[0030] determining, based on the energy focusing result at the starting moment, signal peak positions corresponding to the first measuring point and the second measuring point;

[0031] determining the number of starting points of the partial discharge signal based on the signal peak positions corresponding to the first measuring point and the second measuring point;

[0032] Based on the number of starting points, a time delay difference between the first measuring point and the second measuring point when collecting the partial discharge signal is determined.

[0033] Optionally, determining a reference position of a partial discharge signal source based on the time delay difference includes:

[0034] Determining the number of intervals between the first measuring point and the second measuring point based on the interval between the first measuring point and the second measuring point, in combination with the sampling frequency of the partial discharge signal and the propagation speed of the electromagnetic wave;

[0035] Determining the interval distance between the partial discharge signal source and the first measuring point based on the number of interval points, the electromagnetic wave propagation speed, and the number of starting points corresponding to the time delay difference;

[0036] A reference position of the partial discharge signal source is determined based on a distance between the partial discharge signal source and the first measuring point.

[0037] An intelligent positioning device for a UHF partial discharge signal source, comprising:

[0038] A model determination unit, configured to determine a partial discharge signal model of a pair of measuring points based on characteristic parameters of the partial discharge signal; the pair of measuring points comprising a first measuring point and a second measuring point located adjacent to each other;

[0039] an energy focusing unit, configured to obtain an energy focusing result of the partial discharge signal at a starting moment based on the partial discharge signal model; wherein the energy focusing result represents a peak value of the partial discharge signal;

[0040] The position determining unit is configured to determine a reference position of the partial discharge signal source based on the energy focusing result at the starting moment.

[0041] A storage medium includes a stored program, wherein the program is executed by a processor to execute the intelligent positioning method of a UHF partial discharge signal source.

[0042] An electronic device comprises: a processor, a memory and a bus; the processor and the memory are connected via the bus;

[0043] The memory is used to store a program, and the processor is used to run the program, wherein the program is executed by the processor to execute the intelligent positioning method of the ultra-high frequency partial discharge signal source.

[0044] The technical solution provided in this application determines a partial discharge signal model for a pair of adjacent measuring points based on characteristic parameters of the partial discharge signal. The pair includes a first and a second adjacent measuring point. Based on the partial discharge signal model, an energy focusing result of the partial discharge signal at the initial moment is obtained. The energy focusing result represents the peak value of the partial discharge signal. Based on the energy focusing result at the initial moment, a reference position of the partial discharge signal source is determined. This application enables intelligent positioning of ultra-high frequency partial discharge signal sources, eliminating random errors caused by manual positioning and laying a theoretical foundation for analyzing partial discharge signal sources and determining equipment operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0046] Figure 1 A schematic flow chart of an intelligent positioning method for a UHF partial discharge signal source provided in an embodiment of the present application;

[0047] Figure 2 A schematic flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application;

[0048] Figure 3 A schematic flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application;

[0049] Figure 4 A schematic flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application;

[0050] Figure 5 A schematic flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application;

[0051] Figure 6 A schematic flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application;

[0052] Figure 7 A schematic diagram of the architecture of an intelligent positioning device for a UHF partial discharge signal source provided in an embodiment of the present application;

[0053] Figure 8 A schematic diagram of an experimental simulation result provided in an embodiment of the present application;

[0054] Figure 9 Another schematic diagram of experimental simulation results provided in an embodiment of the present application;

[0055] Figure 10 Another schematic diagram of experimental simulation results provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0057] In this application, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. The terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or apparatus comprising the element.

[0058] like Figure 1FIG. 1 is a flow chart of an intelligent positioning method for a UHF partial discharge signal source provided in an embodiment of the present application, which includes the following steps.

[0059] S101: Determine a partial discharge signal model of a measurement point pair based on characteristic parameters of the partial discharge signal.

[0060] The measuring point pair includes a first measuring point and a second measuring point that are adjacent to each other.

[0061] In some examples, characteristic parameters of the partial discharge signal include at least pulse width, sampling frequency, oscillation frequency, and voltage amplitude.

[0062] In some examples, the partial discharge signal may be analyzed and measured to obtain corresponding characteristic parameters.

[0063] It should be noted that, based on the characteristic parameters of the partial discharge signal, the partial discharge signal models corresponding to the first and second measuring points in the measuring point pair can be determined, thereby providing a model basis for subsequent adaptive positioning of the partial discharge signal source.

[0064] Optionally, based on the characteristic parameters of the partial discharge signal, the implementation process of determining the partial discharge signal model of the measuring point pair can be found in Figure 2 The steps are shown and the corresponding explanations.

[0065] S102: Based on the partial discharge signal model, an energy focusing result of the partial discharge signal at the starting moment is obtained.

[0066] The energy focusing result represents the peak value of the partial discharge signal.

[0067] Optionally, based on the partial discharge signal model, the implementation process of obtaining the energy focusing result of the partial discharge signal at the starting moment can be found in Figure 3 The steps are shown and the corresponding explanations.

[0068] S103: Determine a reference position of the partial discharge signal source based on the energy focusing result at the starting moment.

[0069] After obtaining the energy focusing result at the starting moment, the time delay difference between the first measuring point and the second measuring point when collecting the partial discharge signal can be determined based on the energy focusing result at the starting moment, and then the reference position of the partial discharge signal source can be determined based on the time delay difference.

[0070] Optionally, based on the energy focusing result at the starting moment, the implementation process of determining the time delay difference between the first measuring point and the second measuring point when collecting the partial discharge signal can be found in Figure 5 The steps are shown and the corresponding explanations.

[0071] Optionally, the implementation process of determining the reference position of the partial discharge signal source based on the time delay difference can be found in Figure 6 The steps are shown and the corresponding explanations.

[0072] Combine Figure 2-Figure 6 In the method shown, embodiments of the present application utilize envelope detection processing on partial discharge signals to obtain the envelope characteristics of the partial discharge signal, thereby eliminating the effects of intrapulse oscillations in the partial discharge signal. The envelope gold foil is then used to downsample the partial discharge signal. Furthermore, a sum-and-differential filter is used to convolve the envelope characteristics, generating a peak at the onset of the partial discharge signal (i.e., focusing the energy). Peak search is used to determine the onset of the partial discharge signal, and the delay difference corresponding to the onset can be used to intelligently locate the source of the partial discharge signal.

[0073] In some examples, the positioning effect of the embodiments of the present application is tested through simulation experiments. It is assumed that the simulation parameters involved in the experiment include the duration of partial discharge (ie, pulse width) =200ns, oscillation frequency =0.2GHz, sampling frequency =2GHz, SNR =5dB, half order of the scaled difference filter =25, the voltage amplitude of the partial discharge signal is 1, and the electromagnetic wave attenuation per meter propagation =0, the value of the draw sequence =1, the distance between the first measuring point and the second measuring point =10m, electromagnetic wave propagation speed is the speed of light, and the distance between the partial discharge signal source and the first measuring point is set to Furthermore, through simulation experiments, we can get Figure 8 、 Figure 9 as well as Figure 10 The simulation results are shown.

[0074] See also Figure 8 The simulation results shown in the figure show that the first and second measuring points are separated by different distances from the partial discharge signal source. There is a time delay difference in the signals received by the two measuring points. The envelope characteristics of the partial discharge signals detected by the two measuring points are also coupled with the time delay caused by distance. This time delay difference can be used to locate and estimate the location of the partial discharge signal source.

[0075] See also Figure 9 as well as Figure 10The simulation results shown show that peak search can extract the signal wave head, and the extracted result differs from the previous estimate by only one point. This error is caused by rounding of the resolution unit due to sampling rate limitations. That is, during the simulation, 6.667 points need to be rounded up to 67. Therefore, this error is a systematic error, not an algorithmic precision error. (Algorithmic precision error is an error caused by algorithmic logic during the calculation process. For example, in threshold positioning or threshold positioning methods, the system considers a signal detected when the value exceeds a certain threshold, but considers the signal acquired when the noise energy exceeds the threshold. The resulting error is an algorithmic precision error, that is, an error caused by the algorithmic logic.) Given that the distance between measurement points 1 and 2 is 10 meters, the suspected signal source (i.e., the partial discharge signal source) is located based on the time delay difference between the first and second measurement points (i.e., the time delay difference when acquiring the partial discharge signal). The distance from the abnormal signal source to measurement point 1 is determined to be 3.98 meters, with a measurement error of 99.5%.

[0076] The process shown in S101-S103 above can realize the intelligent positioning of the UHF partial discharge signal source, eliminate the random errors caused by manual positioning, and lay a theoretical foundation for the analysis of the partial discharge signal source and the judgment of equipment operation.

[0077] like Figure 2 FIG. 1 is a flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application, which includes the following steps.

[0078] S201: Obtain characteristic parameters of a partial discharge signal.

[0079] Among them, the characteristic parameters include pulse width , sampling frequency , oscillation frequency , voltage amplitude .

[0080] S202: Determine a first duration sequence based on the pulse width and the sampling frequency.

[0081] Among them, the pulse width can be based on and sampling frequency , determine the number of sampling points of the partial discharge signal , and use the number of sampling points of the partial discharge signal , solve to get the first duration sequence .

[0082] In some examples, the first duration sequence The expression of can be seen in formula (1).

[0083] (1)

[0084] S203: Determine a duration model of the partial discharge signal based on the first duration sequence in combination with the oscillation frequency and the voltage amplitude.

[0085] Among them, when obtaining the first duration sequence After that, combined with the oscillation frequency and voltage amplitude , the duration model of the partial discharge signal can be established .

[0086] In some examples, the duration model The expression of can be seen in formula (2).

[0087] (2)

[0088] S204: Obtaining the interval distance between the first measuring point and the second measuring point in the measuring point alignment.

[0089] Among them, the distance between the first measuring point and the second measuring point , which can be measured on-site by technical personnel.

[0090] S205: Determine a second duration sequence corresponding to the duty cycle of the partial discharge signal based on the interval distance between the first measuring point and the second measuring point and the sampling frequency.

[0091] Among them, the distance between the first measuring point and the second measuring point is obtained Then, combined with the electromagnetic wave propagation speed , the duty cycle of the partial discharge signal can be calculated , combined with the sampling frequency , the duty cycle can be determined The corresponding number of sampling points , and finally use the number of sampling points , solve to get the second duration sequence .

[0092] In some examples, the second duration sequence The expression of can be seen in formula (3).

[0093] (3)

[0094] It should be noted that the propagation speed of electromagnetic waves is It is common sense in physics, using the propagation speed of electromagnetic waves , combined with the pre-assumed distance between the partial discharge signal source and the first measuring point , the time delay corresponding to the first measuring point and the second measuring point can be determined.

[0095] In some examples, the time delay corresponding to the first measurement point is , the time delay corresponding to the second measuring point is , and The expression of can be seen in formula (4).

[0096] (4)

[0097] S206: Determine a full-time parameter based on the first duration sequence and the second duration sequence.

[0098] Among them, when obtaining the first duration sequence and the second duration sequence After that, the full time parameters can be calculated .

[0099] S207: Determine a partial discharge signal model of the measurement point pair based on the duration model and the full-time parameters.

[0100] Among them, it can be based on the full time parameters and duration models , combined with the assumed input electromagnetic wave propagation attenuation per meter , establish the partial discharge signal model of the measuring point pair .

[0101] It should be noted that the partial discharge signal model of the measuring point pair Including the partial discharge signal model corresponding to the first measuring point , and the partial discharge signal model corresponding to the second measuring point .

[0102] In some examples, the partial discharge signal model corresponding to the first measurement point The expression of can be found in formula (5). The partial discharge signal model corresponding to the second measuring point is The expression of can be seen in formula (6).

[0103] (5)

[0104] (6)

[0105] Optionally, the independent variable of the partial discharge signal model includes the distance between the partial discharge signal source and the first measuring point, or the distance between the partial discharge signal source and the second measuring point.

[0106] The process shown in S201-S207 can establish the partial discharge signal models corresponding to the first measuring point and the second measuring point respectively based on the characteristic parameters of the partial discharge signal, thereby providing a model basis for subsequent adaptive positioning of the partial discharge signal source.

[0107] like Figure 3 FIG. 1 is a flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application, which includes the following steps.

[0108] S301: Determine envelope characteristics of a partial discharge signal based on a partial discharge signal model.

[0109] Wherein, based on the partial discharge signal model, envelope detection of the partial discharge signal can be implemented to obtain the envelope characteristics of the partial discharge signal.

[0110] In some examples, the envelope feature can be understood as a curve reflecting the change in the amplitude of the partial discharge signal.

[0111] Optionally, the implementation process of determining the envelope characteristics of the partial discharge signal based on the partial discharge signal model can be found in Figure 4 The steps are shown and the corresponding explanations.

[0112] S302: Using a preset sum and difference filter model, perform convolution processing on the envelope feature to obtain an energy focusing result of the envelope feature.

[0113] Among them, the filter half-order of the assumed input can be used , calculate the total order of odd-order filters , and based on the total order of the filter, determine and differentiate the filter model .

[0114] In some examples, and the difference filter model The expression of can be seen in formula (9).

[0115] (9)

[0116] It should be noted that the differential filter model is used , for envelope characteristics Perform convolution processing to obtain the energy focusing result of the envelope feature .

[0117] In some examples, the envelope feature It is a discrete partial discharge signal and can be detected by continuous partial discharge signal. Transformed to get, specifically, Transformed into The process can be seen in formula (10).

[0118] (10)

[0119] In some examples, the difference filter model can be With envelope characteristics Multiply to obtain the energy focusing result of the envelope feature , energy focusing results The expression of can be seen in formula (11).

[0120] (11)

[0121] It should be noted that the energy focusing results Including the energy focusing results corresponding to the first measurement point , and the energy focusing result corresponding to the second measuring point .

[0122] S303: performing module value calculation on the energy focusing result to obtain the energy focusing result of the partial discharge signal at the starting moment.

[0123] Among them, the energy focusing result of the envelope characteristic is obtained Afterwards, the energy focusing results can be Perform modulus calculation to obtain the energy focusing result of the partial discharge signal at the starting moment .

[0124] In some examples, the energy focusing results The process of calculating the modulus value can be seen in formula (12).

[0125] (12)

[0126] It should be emphasized that the energy focus at the initial moment Including the energy focusing results of the partial discharge signal collected at the first measuring point at the starting moment , and the energy focusing results of the partial discharge signal collected at the second measuring point at the starting moment .

[0127] The process shown in S301-S303 above can utilize the partial discharge signal model to obtain the energy focusing result of the partial discharge signal at the starting moment, thereby providing a model basis for subsequent adaptive positioning of the partial discharge signal source.

[0128] like Figure 4 FIG. 1 is a flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application, which includes the following steps.

[0129] S401: Based on the partial discharge signal models corresponding to the first measuring point and the second measuring point, an improved Hilport transform of the partial discharge signal is obtained.

[0130] Among them, based on the partial discharge signal model corresponding to the first measuring point , and the partial discharge signal model corresponding to the second measuring point , the improved Hilport transform of the partial discharge signal can be obtained .

[0131] In some examples, The expression of can be seen in formula (7).

[0132] (7)

[0133] S402: Based on the improved Hilport transform and combined with the partial discharge signal, the envelope characteristics of the partial discharge signal are obtained.

[0134] Among them, in obtaining the improved Hilport transform Then, combined with the partial discharge signal, the envelope characteristics of the partial discharge signal can be obtained. .

[0135] In some examples, assume that the partial discharge signal is , then the envelope characteristic , Improved Hilport Transform and partial discharge signals The relationship between the three can be seen in formula (8).

[0136] (8)

[0137] It should be emphasized that the envelope characteristics of the partial discharge signal Including the envelope characteristics corresponding to the first measurement point , and the envelope characteristics corresponding to the second measuring point .

[0138] The process shown in S401 - S402 above can determine the envelope characteristics of the partial discharge signal based on the partial discharge signal model, thereby providing effective support for the subsequent calculation of the energy focusing result.

[0139] like Figure 5 FIG. 1 is a flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application, which includes the following steps.

[0140] S501: Based on the energy focusing result at the starting moment, determine the signal peak positions corresponding to the first measuring point and the second measuring point respectively.

[0141] Among them, the energy focusing result at the starting moment is obtained Afterwards, the energy focusing results can be , solve for the signal peak position , include as well as , Represents the signal peak position corresponding to the first measurement point, Indicates the signal peak position corresponding to the second measurement point.

[0142] In some examples, the energy focusing result at the initial moment is , signal peak position and the signal amplitude There is a relationship between the three, and the signal peak position can be obtained by solving the relationship. Specifically, the relationship can be seen in formula (13).

[0143] (13)

[0144] It should be noted that the signal amplitude Including the amplitude of the first measuring point And the amplitude of the second measuring point .

[0145] S502: Determine the number of starting points of the partial discharge signal based on the signal peak positions corresponding to the first measuring point and the second measuring point.

[0146] Among them, the signal peak position corresponding to the first measurement point is obtained , and the signal peak position corresponding to the second measurement point After that, we can calculate and The absolute value of the difference between them is used to obtain the starting point number of the partial discharge signal.

[0147] In some examples, the signal peak position It can represent the starting point number of the partial discharge signal collected at the first measuring point and the signal peak position It can represent the starting point number of the partial discharge signal collected by the second measuring point, the starting point number of the partial discharge signal 、 as well as The relationship between the three can be seen in formula (14).

[0148] (14)

[0149] S503: Determine, based on the number of starting points, a time delay difference between the first measuring point and the second measuring point when collecting partial discharge signals.

[0150] Among them, the number of starting points of the partial discharge signal can be based on , determine the time delay difference when collecting partial discharge signals at the first measuring point and the second measuring point.

[0151] The process shown in S501-S503 above can use the energy focusing result at the starting moment to determine the time delay difference when collecting partial discharge signals at the first and second measuring points, providing a model basis for subsequent adaptive positioning of the partial discharge signal source.

[0152] like Figure 6 FIG. 1 is a flow chart of another method for intelligently locating a UHF partial discharge signal source provided in an embodiment of the present application, which includes the following steps.

[0153] S601: Determine the number of interval points between the first measuring point and the second measuring point based on the interval distance between the first measuring point and the second measuring point in combination with the sampling frequency of the partial discharge signal and the electromagnetic wave propagation speed.

[0154] Among them, the distance between the first measuring point and the second measuring point It can be obtained by measurement, combined with the sampling frequency and the speed of electromagnetic wave propagation , the number of interval points between the first measuring point and the second measuring point can be calculated .

[0155] In some examples, The calculation expression of can be found in formula (15).

[0156] (15)

[0157] S602: Determine the interval distance between the partial discharge signal source and the first measuring point based on the number of interval points, the electromagnetic wave propagation speed, and the number of starting points corresponding to the time delay difference.

[0158] Among them, based on the interval points , electromagnetic wave propagation speed And the starting point number corresponding to the delay difference , the distance between the partial discharge signal source and the first measuring point can be calculated, and the reference position of the partial discharge signal source is determined based on the distance between the partial discharge signal source and the first measuring point. .

[0159] In some examples, the reference position The calculation expression of can be seen in formula (16).

[0160] (16)

[0161] S603: Determine a reference position of the partial discharge signal source based on a distance between the partial discharge signal source and the first measuring point.

[0162] Wherein, after the reference position of the partial discharge signal source is determined based on the interval distance between the partial discharge signal source and the first measuring point, the reference position can realize effective positioning of the partial discharge signal source.

[0163] The process shown in S601-S603 above can use the time delay difference to calculate the reference position of the partial discharge signal source, eliminating the random error caused by manual positioning, and laying a theoretical foundation for analyzing the ultra-high frequency partial discharge signal source on site and determining the equipment operation.

[0164] like Figure 7 , which is a schematic diagram of the architecture of an intelligent positioning device for a UHF partial discharge signal source provided by an embodiment of the present application, including the units shown below.

[0165] The model determination unit 100 is configured to determine a partial discharge signal model of a pair of measuring points based on characteristic parameters of the partial discharge signal; the pair of measuring points includes a first measuring point and a second measuring point that are adjacent to each other.

[0166] Optionally, the model determination unit 100 is specifically used to: obtain characteristic parameters of the partial discharge signal; the characteristic parameters include pulse width, sampling frequency, oscillation frequency, and voltage amplitude; determine a first duration sequence based on the pulse width and the sampling frequency; determine a duration model of the partial discharge signal based on the first duration sequence in combination with the oscillation frequency and the voltage amplitude; obtain the interval distance between the first measuring point and the second measuring point in the measuring point pair; determine a second duration sequence corresponding to the duty cycle of the partial discharge signal based on the interval distance between the first measuring point and the second measuring point and the sampling frequency; determine a full-time parameter based on the first duration sequence and the second duration sequence; and determine the partial discharge signal model of the measuring point pair based on the duration model and the full-time parameter.

[0167] The energy focusing unit 200 is used to obtain an energy focusing result of the partial discharge signal at the starting moment based on the partial discharge signal model; the energy focusing result represents the peak value of the partial discharge signal.

[0168] Optionally, the energy focusing unit 200 is specifically used to: determine the envelope characteristics of the local discharge signal based on the local discharge signal model; use a preset sum differential filter model to convolve the envelope characteristics to obtain an energy focusing result of the envelope characteristics; perform modulus calculation on the energy focusing result to obtain the energy focusing result of the local discharge signal at the starting moment.

[0169] Optionally, the energy focusing unit 200 is specifically used to: obtain an improved Hilport transform of the local discharge signal based on the local discharge signal models corresponding to the first measuring point and the second measuring point; and obtain an envelope feature of the local discharge signal based on the improved Hilport transform and in combination with the local discharge signal.

[0170] The position determination unit 300 is configured to determine a reference position of the partial discharge signal source based on the energy focusing result at the starting moment.

[0171] Optionally, the position determination unit 300 is specifically configured to: determine a time delay difference between the first measuring point and the second measuring point when collecting partial discharge signals based on the energy focusing result at the starting moment; and determine a reference position of the partial discharge signal source based on the time delay difference.

[0172] Optionally, the position determination unit 300 is specifically used to: determine the signal peak positions corresponding to the first measuring point and the second measuring point based on the energy focusing result at the starting moment; determine the number of starting points of the local discharge signal based on the signal peak positions corresponding to the first measuring point and the second measuring point; and determine the time delay difference between the first measuring point and the second measuring point when collecting the local discharge signal based on the number of starting points.

[0173] Optionally, the position determination unit 300 is specifically configured to: determine the number of interval points between the first measuring point and the second measuring point based on the interval distance between the first measuring point and the second measuring point, in combination with the sampling frequency of the partial discharge signal and the electromagnetic wave propagation speed; determine the interval distance between the partial discharge signal source and the first measuring point based on the number of interval points, the electromagnetic wave propagation speed, and the number of starting points corresponding to the time delay difference; and determine the reference position of the partial discharge signal source based on the interval distance between the partial discharge signal source and the first measuring point.

[0174] The above-mentioned units can realize the intelligent positioning of the UHF partial discharge signal source, eliminate the random errors caused by manual positioning, and lay a theoretical foundation for the analysis of the partial discharge signal source and the judgment of equipment operation.

[0175] The present application also provides a computer-readable storage medium, which includes a stored program, wherein the program executes the intelligent positioning method for the ultra-high frequency partial discharge signal source provided by the present application.

[0176] The present application also provides an electronic device comprising: a processor, a memory, and a bus. The processor and the memory are connected via the bus, the memory being used to store a program, and the processor being used to execute the program. When the program is executed, the method for intelligently locating a UHF partial discharge signal source provided by the present application is executed.

[0177] In addition, the functions described above in the embodiments of the present application may be at least partially performed by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0178] Although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this application. Certain features described in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented in multiple embodiments individually or in any suitable sub-combination.

[0179] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the disclosure herein is not limited to technical solutions formed by specific combinations of the aforementioned technical features. It also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents, without departing from the aforementioned disclosure. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. An intelligent positioning method for ultra-high frequency partial discharge signal sources, characterized in that: include: Determining a partial discharge signal model of a pair of measuring points based on characteristic parameters of the partial discharge signal; the pair of measuring points includes a first measuring point and a second measuring point located adjacent to each other; Based on the partial discharge signal model, obtaining an energy focusing result of the partial discharge signal at a starting moment; wherein the energy focusing result represents a peak value of the partial discharge signal; Based on the energy focusing result at the starting moment, a reference position of the partial discharge signal source is determined.

2. The method according to claim 1, characterized in that Based on the characteristic parameters of the partial discharge signal, the partial discharge signal model of the measuring point pair is determined, including: Obtaining characteristic parameters of a partial discharge signal; the characteristic parameters include pulse width, sampling frequency, oscillation frequency, and voltage amplitude; determining a first duration sequence based on the pulse width and the sampling frequency; Determining a duration model of the partial discharge signal based on the first duration sequence in combination with the oscillation frequency and the voltage amplitude; Obtain the interval distance between the first measuring point and the second measuring point in the measuring point alignment; determining a second duration sequence corresponding to a duty cycle of the partial discharge signal based on a distance between the first measuring point and the second measuring point and the sampling frequency; determining a full-time parameter based on the first duration sequence and the second duration sequence; A partial discharge signal model of the pair of measurement points is determined based on the duration model and the full-time parameter.

3. The method according to claim 1, characterized in that Obtaining an energy focusing result of the partial discharge signal at a starting moment based on the partial discharge signal model includes: determining an envelope characteristic of the partial discharge signal based on the partial discharge signal model; Using a preset sum differential filter model, convolution processing is performed on the envelope feature to obtain an energy focusing result of the envelope feature; A modulus calculation is performed on the energy focusing result to obtain the energy focusing result of the partial discharge signal at the starting moment.

4. The method according to claim 3, characterized in that Determining an envelope characteristic of the partial discharge signal based on the partial discharge signal model includes: Obtaining an improved Hilport transform of the partial discharge signal based on partial discharge signal models corresponding to the first measuring point and the second measuring point; Based on the improved Hilport transform and in combination with the partial discharge signal, the envelope characteristics of the partial discharge signal are obtained.

5. The method according to claim 1, characterized in that Determining a reference position of a partial discharge signal source based on the energy focusing result at the starting moment includes: determining, based on the energy focusing result at the starting moment, a time delay difference between the first measuring point and the second measuring point when collecting the partial discharge signal; Based on the time delay difference, a reference position of the partial discharge signal source is determined.

6. The method according to claim 5, characterized in that Determining, based on the energy focusing result at the starting moment, a time delay difference between when the first measuring point and the second measuring point collect the partial discharge signal, includes: determining, based on the energy focusing result at the starting moment, signal peak positions corresponding to the first measuring point and the second measuring point; determining the number of starting points of the partial discharge signal based on the signal peak positions corresponding to the first measuring point and the second measuring point; Based on the number of starting points, a time delay difference between the first measuring point and the second measuring point when collecting the partial discharge signal is determined.

7. The method according to claim 6, characterized in that Determining a reference position of a partial discharge signal source based on the time delay difference includes: Determining the number of intervals between the first measuring point and the second measuring point based on the interval between the first measuring point and the second measuring point, in combination with the sampling frequency of the partial discharge signal and the propagation speed of the electromagnetic wave; Determining the interval distance between the partial discharge signal source and the first measuring point based on the number of interval points, the electromagnetic wave propagation speed, and the number of starting points corresponding to the time delay difference; A reference position of the partial discharge signal source is determined based on a distance between the partial discharge signal source and the first measuring point.

8. An intelligent positioning device for ultra-high frequency partial discharge signal source, characterized in that: include: A model determination unit, configured to determine a partial discharge signal model of a pair of measuring points based on characteristic parameters of the partial discharge signal; the pair of measuring points comprising a first measuring point and a second measuring point located adjacent to each other; an energy focusing unit, configured to obtain an energy focusing result of the partial discharge signal at a starting moment based on the partial discharge signal model; wherein the energy focusing result represents a peak value of the partial discharge signal; The position determining unit is configured to determine a reference position of the partial discharge signal source based on the energy focusing result at the starting moment.

9. A storage medium, characterized in that: The storage medium includes a stored program, wherein the program is executed by a processor to execute the intelligent positioning method for a UHF partial discharge signal source according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: processor, memory, and bus; The processor is connected to the memory via the bus; The memory is used to store a program, and the processor is used to run the program, wherein the program, when run by the processor, executes the intelligent positioning method for a UHF partial discharge signal source according to any one of claims 1 to 7.

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