A PRPD pattern construction method and device, electronic equipment and storage medium

Abstract

The application discloses a PRPD map construction method and device, electronic equipment and a storage medium. The method and device are applied to the electronic equipment, and specifically, two measuring point partial discharge signals detected on selected two measuring points of GIS equipment to be detected are obtained based on a quantization time scale of continuously collected signals; two envelope features and time domain parameters of the two measuring point partial discharge signals are solved, the time domain parameters include a starting time and a cutoff time of the first measuring point partial discharge signal, and also include a starting time and a cutoff time of the second measuring point partial discharge signal; an interference suppression judgment standard is established based on the two measuring point partial discharge signals and the time domain parameters; and interference suppression processing is performed based on the interference suppression judgment standard and the two envelope features, so that a PRPD map of the GIS equipment is obtained. The application can obtain a clean PRPD map by suppressing interference, thereby improving the effect of subsequent partial discharge type identification.

Description

Technical Field

[0001] This application relates to the field of high-voltage electrical equipment technology, and more specifically, to a method, apparatus, electronic device, and storage medium for constructing PRPD maps. Background Technology

[0002] Gas-insulated high-voltage electrical equipment (GIS) is a crucial component of power transmission construction, and its operational status directly impacts the safe and stable operation of the main power grid. During actual operation, high-voltage electrical equipment is prone to partial discharge due to factors such as insulator surface defects, particulate contamination, or poor installation techniques. Prolonged partial discharge can lead to dielectric degradation of related materials in GIS equipment, potentially causing through-discharge faults and severely affecting the reliability of ultra-high-voltage transmission systems.

[0003] When detecting and identifying partial discharges (PDs) within a GIS (Gas-Insulated Site), it is necessary to statistically analyze the continuous discharge characteristics of the PDs, construct a Partial Discharge Phase Detection (PRPD) map of the PD signal, and then identify the type of PD based on the morphological characteristics of the PRPD map. However, during the acquisition of PD signals, electromagnetic interference from the spatial electromagnetic environment or electromagnetic leakage from the sensor can interfere with the construction of the PRPD map, thus affecting the results of PD type identification. Therefore, it is necessary to suppress interference to obtain a clean PRPD map, thereby improving the effectiveness of subsequent discharge type identification. Summary of the Invention

[0004] In view of this, this application provides a method, apparatus, electronic device and storage medium for constructing a PRPD map, used to suppress interference and obtain a clean PRPD map, so as to improve the effect of subsequent partial discharge type identification.

[0005] To achieve the above objectives, the following solution is proposed:

[0006] A method for constructing PRPD maps, applied to electronic devices, the method comprising the following steps:

[0007] Based on the quantization time scale of continuously acquired signals, two partial discharge signals of measuring points are obtained by detecting two selected measuring points on the GIS device to be detected. The two partial discharge signals of measuring points include a first partial discharge signal obtained from one of the measuring points and a second partial discharge signal obtained from the other measuring point.

[0008] Solve for the two envelope features and time-domain parameters of the partial discharge signals at the two measurement points. The time-domain parameters include the start time and end time of the partial discharge signal at the first measurement point, and also include the start time and end time of the partial discharge signal at the second measurement point.

[0009] An interference suppression criterion is established based on the partial discharge signals from the two measurement points and the time-domain parameters.

[0010] Interference suppression processing is performed based on the interference suppression judgment criteria and the two envelope features to obtain the PRPD map of the GIS device.

[0011] Optionally, the step of solving for the two envelope features and time-domain parameters of the partial discharge signal at the two measurement points includes the following steps:

[0012] Based on a preset autocorrelation sequence, the autocorrelation calculation results of the partial discharge signals at the two measurement points are convolved to obtain the two energy gain results at the two measurement points.

[0013] The two energy gain results are processed to obtain the two envelope features;

[0014] The time-domain parameters are obtained by searching for the maximum and minimum values ​​of the envelope features of the two energy gain results.

[0015] Optionally, processing the two energy gain results to obtain the two envelope features includes the following steps:

[0016] The two energy gain results are analyzed to obtain two analytical signals;

[0017] The two analytical signals are processed to obtain the two envelope features of the two energy gain results.

[0018] Optionally, the step of establishing an interference suppression criterion based on the partial discharge signals from the two measurement points and the time-domain parameters includes the following steps:

[0019] The time delay between the two measuring points is calculated based on the electromagnetic wave propagation speed and the distance between the two measuring points.

[0020] The mean value of each envelope feature is calculated based on the time-domain parameters.

[0021] The root mean square error and skewness are calculated based on the two aforementioned means;

[0022] The interference suppression criterion is constructed based on the root mean square error, the skew pair, and the perturbation parameters and perturbation deviation of the time delay.

[0023] Optionally, the step of performing interference suppression processing based on the interference suppression judgment criteria and the two envelope features to obtain the PRPD map of the GIS device includes the following steps:

[0024] A long-term three-dimensional pulse signal spectrum is constructed based on the interference suppression judgment criteria and the two envelope criteria.

[0025] The three-dimensional pulse signal spectrum is projected onto the two-dimensional period-amplitude plane to obtain the PRPD spectrum.

[0026] Optionally, the step of constructing a long-term three-dimensional PRPS continuous map based on the interference suppression judgment criterion and the two envelope criteria includes the following steps:

[0027] Based on the interference suppression judgment criteria and combined with the two envelope criteria, the interference suppression result of the partial discharge signal at each measurement point is obtained.

[0028] A selected interference suppression result is used to solve for the standardized sequence;

[0029] The three-dimensional pulse signal spectrum is constructed by combining the quantization time scale, short time axis coordinates, vector length, quantization time scale, normalized amplitude sequence, and the normalized sequence.

[0030] Optionally, the step of selecting an interference suppression result for solution to obtain a standardized sequence includes the following steps:

[0031] In response to the user's selection request, select the interference suppression result corresponding to one measurement point from the two interference suppression results;

[0032] Discretize the selected interference suppression results into a sequence;

[0033] The discretized sequence is vectorized and solved to obtain a vector;

[0034] The vector is processed to obtain the standardized sequence.

[0035] A device for constructing PRPD maps, applied to electronic devices, the device comprising:

[0036] The signal acquisition module is configured to acquire two partial discharge signals from two selected measurement points on the GIS device to be tested based on the quantization time scale of continuously acquired signals. The two partial discharge signals from the measurement points include a first partial discharge signal from one of the measurement points and a second partial discharge signal from the other measurement point.

[0037] The data solving module is configured to solve for two envelope features and time-domain parameters of the partial discharge signals at the two measurement points. The time-domain parameters include the start time and end time of the partial discharge signal at the first measurement point, and also include the start time and end time of the partial discharge signal at the second measurement point.

[0038] The standard establishment module is configured to establish an interference suppression judgment standard based on the partial discharge signals of the two measurement points and the time-domain parameters;

[0039] An execution module is constructed and configured to perform interference suppression processing based on the interference suppression judgment criteria and the two envelope features to obtain the PRPD map of the GIS device.

[0040] An electronic device includes at least one processor and a memory connected to the processor, wherein:

[0041] The memory is used to store computer programs or instructions;

[0042] The processor is used to execute the computer program or instructions to enable the electronic device to implement the PRPD map construction method as described above.

[0043] A computer-readable storage medium is applied to an electronic device, the storage medium carrying one or more computer programs that can be executed by the electronic device, thereby enabling the electronic device to implement the PRPD map construction method as described above.

[0044] As can be seen from the above technical solution, this application discloses a method, apparatus, electronic device, and storage medium for constructing a PRPD map. This method and apparatus are applied to electronic devices, specifically involving acquiring two partial discharge (PD) signals from two selected measurement points on a GIS device to be detected based on a quantized timescale of continuously acquired signals; solving for two envelope features and time-domain parameters of the PD signals from the two measurement points, where the time-domain parameters include the start and end times of the PD signal from the first measurement point, and also the start and end times of the PD signal from the second measurement point; establishing an interference suppression criterion based on the two PD signals from the two measurement points and the time-domain parameters; and performing interference suppression processing based on the interference suppression criterion and the two envelope features to obtain the PRPD map of the GIS device. This application obtains a clean PRPD map by suppressing interference, thereby improving the effectiveness of subsequent PD type identification. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating a method for constructing a PRPD map according to an embodiment of this application;

[0047] Figure 2a This is a schematic diagram of a dual-point acquisition device according to an embodiment of this application;

[0048] Figure 2b This is a schematic diagram of a partial discharge signal at a measurement point according to an embodiment of this application;

[0049] Figure 2c This is a schematic diagram of the envelope features in an embodiment of this application;

[0050] Figure 2d This is a schematic diagram showing the extraction result of the signal start time in an embodiment of this application;

[0051] Figure 2e This is a schematic diagram of the signal cutoff time extraction result in an embodiment of this application;

[0052] Figure 2f This is the PRPD spectrum after interference suppression according to an embodiment of this application;

[0053] Figure 3 This is a block diagram of a PRPD map construction device according to an embodiment of this application;

[0054] Figure 4 This is a block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0055] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0056] Current methods for suppressing interference in partial discharge (PD) signals primarily involve processing the original acquired signal, performing multi-domain feature extraction and classification, or using image processing techniques to remove interference features from the PRPD spectrum. However, signal processing-based interference suppression methods are computationally complex and difficult to apply in practice; image processing-based techniques struggle to process the original signal effectively, making it difficult to efficiently remove PRPD statistical features. Consequently, current UHF PD detection equipment cannot effectively suppress interference.

[0057] Based on this, this application proposes an interference suppression technology that combines the actual form and signal characteristics of primary equipment. Based on the comparison of parameter characteristics of signals detected by dual measurement points, effective information acquisition of partial discharge signals can be achieved, and effective plotting of PRPD maps can be realized. The specific scheme is as follows.

[0058] Figure 1 This is a flowchart illustrating a method for constructing a PRPD map according to an embodiment of this application.

[0059] like Figure 1 As shown, the construction method provided in this embodiment is applied to electronic devices to construct clean PRPD maps through interference suppression, thereby improving the effectiveness of subsequent partial discharge type identification. Here, "electronic device" can be understood as a computer, server, cloud platform, or embedded device with data computing and information processing capabilities. The construction method specifically includes the following steps:

[0060] S1. Obtain the partial discharge signals of two selected measurement points on the GIS equipment.

[0061] Specifically, this application selects two measuring points on the GIS equipment to be tested, such as... Figure 2a As shown, after selection, the distance between two measuring points is measured, and then the partial discharge signal at the two measuring points on the operating GIS equipment is detected, thus obtaining the partial discharge signal at the two measuring points, as shown. Figure 2b As shown. The partial discharge signals at the two measurement points include the defined partial discharge signal obtained from one measurement point and the second partial discharge signal obtained from the other measurement point. The two partial discharge signals at the two measurement points are s1(t,m) and s2(t,m), where m=1,2,3...M, and M is the number of signals collected.

[0062] S2. Solve the partial discharge signals at the two measurement points to obtain two envelope features and time-domain parameters.

[0063] The time-domain parameter includes the start and end times of the partial discharge signal at the first measurement point, as well as the start and end times of the partial discharge signal at the second measurement point. Specifically, the partial discharge signals at the two measurement points are solved through the following steps:

[0064] First, the autocorrelation calculation results of the partial discharge signals at the two measurement points are convolved based on the preset autocorrelation sequence to obtain the two energy gain results of the two measurement points.

[0065] Based on the quantization time scale T s Input autocorrelation sequence scale T q Determine the autocorrelation sequence L(t) q ):

[0066] ,

[0067] Among them, t q =0, T s 2×T s 3×T s ... ...(T q / T s -1)×T s , T q f(t) is an arbitrary function.

[0068] The autocorrelation calculation results of the partial discharge signals at the two measurement points are convolved to obtain the energy gain results of the two measurement points, namely S1(t,m) and S2(t,m), and their calculation processes are as follows:

[0069]

[0070]

[0071] Then, the two energy gain results are processed separately to obtain two envelope features, such as... Figure 2c As shown, each envelope feature corresponds to a capability gain result. During processing, analytic signal calculations are performed on each capability gain result S1(t,m) and S2(t,m) to obtain two analytic signals Z1(t,m) and Z2(t,m). Then, the envelope features Y1(t,m) and Y2(t,m) of the gain result are solved based on these two analytic signals. The calculation formulas are as follows:

[0072] ,

[0073] ,

[0074] Finally, by searching for the maximum and minimum values ​​of the envelope features of the two energy gain results, time-domain parameters are obtained. These time-domain parameters include the start and end times of the partial discharge signal at the first measurement point, as well as the start and end times of the partial discharge signal at the second measurement point. The extraction result of the inspiration time is as follows: Figure 2d As shown, the extraction results at the cutoff time are as follows: Figure 2e As shown. The specific processing procedure is as follows:

[0075] Discretize the envelope features Y1(t,m) and Y2(t,m) to obtain Y1(k,m) and Y2(k,m). The specific processing formula is as follows:

[0076] ,

[0077] ,

[0078] Input the energy aggregation unit uu, and determine the energy aggregation function h(k):

[0079]

[0080] The discretized envelope features are convolved using the energy aggregation function to obtain Yh1(k,m) and Yh2(k,m). The specific processing formula is as follows:

[0081] ,

[0082] ,

[0083] The output results processed above are searched for maximum and minimum values, and the start times start1(m) and start2(m) of the signal are calculated:

[0084] ,

[0085] ,

[0086] and the deadline times end1(m) and end2(m):

[0087]

[0088]

[0089] S3. Establish an interference suppression judgment standard based on the partial discharge signal and time-domain parameters of the two measurement points.

[0090] First, calculate the mean value between the two measuring points, specifically the propagation speed of the input electromagnetic wave c and the distance R between the two adjacent measuring points. Then, calculate the time delay τ0 between the two measuring points.

[0091]

[0092] Then, based on the start and end times of the signal, the mean values ​​of the envelope features Y1(t,m) and Y2(t,m) of the two measurement points are calculated. and :

[0093]

[0094]

[0095] Next, solve for the root mean square error and skewness of the envelope features of the two measurement points: based on the mean of the envelope features, solve for the root mean square error S. 2 (m):

[0096]

[0097]

[0098] Based on root mean square error S 2 (m), solve for the skewness p(m):

[0099]

[0100]

[0101] Finally, the interference suppression judgment criterion λ is established: input time delay disturbance parameter ξ1, disturbance deviation ρ0 and ρ1, and then establish the interference suppression judgment criterion λ;

[0102]

[0103] S4. Construct PRPD maps based on interference suppression criteria and two envelope features.

[0104] Based on the interference suppression criterion λ, and combined with the envelope features Y1(t,m) and Y2(t,m) of the gain results, the interference suppression results y1(t,n) and y2(t,n) of the dual-measurement point partial discharge signal are solved, where n=1,2,3...N-1,N, and the input interference suppression reference channel number is set as channel 1. Then channel 2 is the actual acquisition channel. The interference suppression result of channel 2 is discretized and solved to obtain y2(k,n). Based on the discretized sequence y2(k,n), a vector representation solution is performed to obtain the vector y2(i). Based on the vector y2(i), a standardized sequence is obtained. Combined with the quantization time scale T s Calculate the short-time axis coordinate t r Based on vector length and quantization time scale T s Combining standardized amplitude sequences A long-duration three-dimensional pulse signal spectrum (PRPD) is constructed; the duration is projected onto a two-dimensional period-amplitude plane to obtain a two-dimensional PRPD spectrum model after interference suppression. The specific process is as follows:

[0105] First, the interference suppression results y1(t,n) and y2(t,n) of the partial discharge signal at the two measurement points are solved, specifically as follows:

[0106] Based on the interference suppression criterion λ, and combined with the envelope characteristics Y1(t,m) and Y2(t,m) of the gain results, the interference suppression results y1(t,n) and y2(t,n) of the dual-measurement-point partial discharge signal are solved:

[0107] Where n = 1, 2, 3...N-1, N, and N represents the number of suppressed signals;

[0108] Then, solve for the standardized sequence. For example, if one measurement point is set as the basic channel, then the other measurement point is the actual acquisition channel. In this application, the second measurement point is selected as the actual acquisition channel. The interference suppression result of the second measurement point is discretized and solved to obtain y2(k,n), where the calculation formula is as follows:

[0109] Based on the discretized sequence y2(k,n), a vector representation is obtained to solve for the vector y2(i):

[0110] ,

[0111] Obtain the standardized sequence based on the vector y2(i) :

[0112] .

[0113] Finally, combining the quantization time scale T s The three-dimensional PRPS continuous spectrum is obtained by constructing the short-time axis coordinates, vector length, quantization time scale, normalized amplitude sequence, and the normalized sequence.

[0114] Combined with the quantization time scale T s Calculate the short-time axis coordinate t r :

[0115]

[0116] Based on vector length and quantization time scale T s Combining standardized amplitude sequences Constructing a long-term three-dimensional pulse signal spectrum (PRPS):

[0117]

[0118] The three-dimensional signal pulse spectrum (PRPS) is then projected onto a two-dimensional period-amplitude plane to obtain a two-dimensional PRPD spectrum after interference suppression, as shown below. Figure 2f As shown:

[0119]

[0120] As can be seen from the above technical solution, this embodiment provides a method for constructing a PRPD map. This method is applied to electronic devices, specifically by acquiring two partial discharge signals from two selected measurement points on a GIS device to be detected based on the quantization time scale of continuously acquired signals; solving for two envelope features and time-domain parameters of the two measurement point partial discharge signals, the time-domain parameters including the start and end times of the partial discharge signal at the first measurement point, and also including the start and end times of the partial discharge signal at the second measurement point; establishing an interference suppression criterion based on the two measurement point partial discharge signals and the time-domain parameters; and performing interference suppression processing based on the interference suppression criterion and the two envelope features to obtain the PRPD map of the GIS device. This application obtains a clean PRPD map by suppressing interference, thereby improving the effect of subsequent partial discharge type identification.

[0121] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0122] Although the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. In certain environments, multitasking and parallel processing may be advantageous.

[0123] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0124] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer.

[0125] Figure 3 This is a block diagram of a PRPD map construction device according to an embodiment of this application.

[0126] like Figure 4As shown, the construction device provided in this embodiment is applied to an electronic device to construct a clean PRPD spectrum through interference suppression, thereby improving the effect of subsequent partial discharge type identification. The electronic device here can be understood as a computer, server, cloud platform, or embedded device with data computing and information processing capabilities. Specifically, the construction device includes a signal acquisition module 10, a data solving module 20, a standard establishment module 30, and a construction execution module 40.

[0127] The signal acquisition module is used to acquire the partial discharge signals of two selected measurement points on the GIS equipment.

[0128] Specifically, this application selects two measuring points on the GIS equipment to be tested, such as... Figure 2a As shown, after selection, the distance between two measuring points is measured, and then the partial discharge signal at the two measuring points on the operating GIS equipment is detected, thus obtaining the partial discharge signal at the two measuring points, as shown. Figure 2b As shown. The partial discharge signals at the two measurement points include the defined partial discharge signal obtained from one measurement point and the second partial discharge signal obtained from the other measurement point. The two partial discharge signals at the two measurement points are s1(t,m) and s2(t,m), where m=1,2,3...M, and M is the number of signals collected.

[0129] The data solving module is used to solve the partial discharge signals at two measurement points to obtain two envelope features and time-domain parameters.

[0130] The time-domain parameter includes the start and end times of the partial discharge signal at the first measurement point, as well as the start and end times of the partial discharge signal at the second measurement point. Specifically, the partial discharge signals at the two measurement points are solved through the following steps:

[0131] First, the autocorrelation calculation results of the partial discharge signals at the two measurement points are convolved based on the preset autocorrelation sequence to obtain the two energy gain results of the two measurement points.

[0132] Based on the quantization time scale T s Input autocorrelation sequence scale T q Determine the autocorrelation sequence L(t) q ):

[0133] ,

[0134] Among them, t q =0, T s 2×T s 3×T s ... ...(T q / T s -1)×T s , T q f(t) is an arbitrary function.

[0135] The autocorrelation calculation results of the partial discharge signals at the two measurement points are convolved to obtain the energy gain results of the two measurement points, namely S1(t,m) and S2(t,m), and their calculation processes are as follows:

[0136]

[0137]

[0138] Then, the two energy gain results are processed separately to obtain two envelope features, such as... Figure 2c As shown, each envelope feature corresponds to a capability gain result. During processing, analytic signal calculations are performed on each capability gain result S1(t,m) and S2(t,m) to obtain two analytic signals Z1(t,m) and Z2(t,m). Then, the envelope features Y1(t,m) and Y2(t,m) of the gain result are solved based on these two analytic signals. The calculation formulas are as follows:

[0139] ,

[0140] ,

[0141] Finally, by searching for the maximum and minimum values ​​of the envelope features of the two energy gain results, time-domain parameters are obtained. These time-domain parameters include the start and end times of the partial discharge signal at the first measurement point, as well as the start and end times of the partial discharge signal at the second measurement point. The extraction result of the inspiration time is as follows: Figure 2d As shown, the extraction results at the cutoff time are as follows: Figure 2e As shown. The specific processing procedure is as follows:

[0142] Discretize the envelope features Y1(t,m) and Y2(t,m) to obtain Y1(k,m) and Y2(k,m). The specific processing formula is as follows:

[0143] ,

[0144] ,

[0145] Input the energy aggregation unit uu, and determine the energy aggregation function h(k):

[0146]

[0147] The discretized envelope features are convolved using the energy aggregation function to obtain Yh1(k,m) and Yh2(k,m). The specific processing formula is as follows:

[0148] ,

[0149] ,

[0150] The output results processed above are searched for maximum and minimum values, and the start times start1(m) and start2(m) of the signal are calculated:

[0151] ,

[0152] ,

[0153] and the deadline times end1(m) and end2(m):

[0154]

[0155]

[0156] The standard establishment module is used to establish interference suppression judgment criteria based on the partial discharge signals and time-domain parameters of two measurement points.

[0157] First, calculate the mean value between the two measuring points, specifically the propagation speed of the input electromagnetic wave c and the distance R between the two adjacent measuring points. Then, calculate the time delay τ0 between the two measuring points.

[0158]

[0159] Then, based on the start and end times of the signal, the mean values ​​of the envelope features Y1(t,m) and Y2(t,m) of the two measurement points are calculated. and :

[0160]

[0161]

[0162] Next, solve for the root mean square error and skewness of the envelope features of the two measurement points: based on the mean of the envelope features, solve for the root mean square error S. 2 (m):

[0163]

[0164]

[0165] Based on root mean square error S 2 (m), solve for the skewness p(m):

[0166]

[0167]

[0168] Finally, the interference suppression judgment criterion λ is established: input time delay disturbance parameter ξ1, disturbance deviation ρ0 and ρ1, and then establish the interference suppression judgment criterion λ;

[0169]

[0170] The execution module is used to construct PRPD maps based on interference suppression criteria and two envelope features.

[0171] Based on the interference suppression criterion λ, and combined with the envelope features Y1(t,m) and Y2(t,m) of the gain results, the interference suppression results y1(t,n) and y2(t,n) of the dual-measurement point partial discharge signal are solved, where n=1,2,3...N-1,N, and the input interference suppression reference channel number is set as channel 1. Then channel 2 is the actual acquisition channel. The interference suppression result of channel 2 is discretized and solved to obtain y2(k,n). Based on the discretized sequence y2(k,n), a vector representation solution is performed to obtain the vector y2(i). Based on the vector y2(i), a standardized sequence is obtained. Combined with the quantization time scale T s Calculate the short-time axis coordinate t r Based on vector length and quantization time scale T s Combining standardized amplitude sequences A long-duration three-dimensional pulse signal spectrum (PRPD) is constructed; the duration is projected onto a two-dimensional period-amplitude plane to obtain a two-dimensional PRPD spectrum model after interference suppression. The specific process is as follows:

[0172] First, the interference suppression results y1(t,n) and y2(t,n) of the partial discharge signal at the two measurement points are solved, specifically as follows:

[0173] Based on the interference suppression criterion λ, and combined with the envelope characteristics Y1(t,m) and Y2(t,m) of the gain results, the interference suppression results y1(t,n) and y2(t,n) of the dual-measurement-point partial discharge signal are solved:

[0174] Where n = 1, 2, 3...N-1, N, and N represents the number of suppressed signals;

[0175] Then, solve for the standardized sequence. For example, if one measurement point is set as the basic channel, then the other measurement point is the actual acquisition channel. In this application, the second measurement point is selected as the actual acquisition channel. The interference suppression result of the second measurement point is discretized and solved to obtain y2(k,n), where the calculation formula is as follows:

[0176] Based on the discretized sequence y2(k,n), a vector representation is obtained to solve for the vector y2(i):

[0177] ,

[0178] Obtain the standardized sequence based on the vector y2(i) :

[0179] .

[0180] Finally, combining the quantization time scale T s The three-dimensional PRPS continuous spectrum is obtained by constructing the short-time axis coordinates, vector length, quantization time scale, normalized amplitude sequence, and the normalized sequence.

[0181] Combined with the quantization time scale T s Calculate the short-time axis coordinate t r :

[0182]

[0183] Based on vector length and quantization time scale T s Combining standardized amplitude sequences Constructing a long-term three-dimensional pulse signal spectrum (PRPS):

[0184]

[0185] The three-dimensional signal pulse spectrum (PRPS) is then projected onto a two-dimensional period-amplitude plane to obtain a two-dimensional PRPD spectrum after interference suppression, as shown below. Figure 2f As shown:

[0186]

[0187] As can be seen from the above technical solution, this embodiment provides a device for constructing a PRPD map. This device is applied to electronic equipment, specifically by acquiring two partial discharge signals from two selected measurement points on a GIS device to be detected based on the quantization time scale of continuously acquired signals; solving for two envelope features and time-domain parameters of the two measurement point partial discharge signals, the time-domain parameters including the start and end times of the first measurement point partial discharge signal, and also including the start and end times of the second measurement point partial discharge signal; establishing an interference suppression criterion based on the two measurement point partial discharge signals and the time-domain parameters; and performing interference suppression processing based on the interference suppression criterion and the two envelope features to obtain the PRPD map of the GIS device. This application obtains a clean PRPD map by suppressing interference, thereby improving the effect of subsequent partial discharge type identification.

[0188] The units described in the embodiments of this disclosure can be implemented in software or in hardware. The name of a unit does not necessarily limit the unit itself; for example, the first acquisition unit can also be described as "a unit that acquires at least two Internet Protocol addresses".

[0189] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0190] Figure 4 This is a block diagram of an electronic device according to an embodiment of this application.

[0191] The following is for reference. Figure 4 This document illustrates a structural diagram suitable for implementing the electronic device in the embodiments of this disclosure. The terminal device in the embodiments of this disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. This electronic device is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this disclosure.

[0192] The electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from an input device 406 into a random access memory (RAM) 403. The RAM also stores various programs and data required for the operation of the electronic device. The processing unit, ROM, and RAM are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0193] Typically, the following devices can be connected to the I / O interface: input devices including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 407 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 408 including, for example, magnetic tapes, hard disks, etc.; and communication devices 409. Communication device 409 allows the electronic device to communicate wirelessly or wiredly with other devices to exchange data. Although electronic devices with various devices are shown in the figures, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0194] This application also provides an embodiment of a computer-readable storage medium.

[0195] The aforementioned computer-readable storage medium is applied to an electronic device and carries one or more computer programs. When the electronic device executes these programs, it acquires two partial discharge (PRPD) signals from two selected measurement points on a GIS device under test, based on a quantization timescale of continuously acquired signals. It then solves for two envelope features and time-domain parameters of the two PRPD signals, including the start and end times of the first and second PRPD signals. An interference suppression criterion is established based on the two PRPD signals and the time-domain parameters. Interference suppression processing is then performed based on the criterion and the two envelope features to obtain the PRPD map of the GIS device. This application obtains a clean PRPD map by suppressing interference, thereby improving the effectiveness of subsequent partial discharge type identification.

[0196] It should be noted that the computer-readable medium described above in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0197] In this disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0198] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0199] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0200] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0201] The technical solution provided by the present invention has been described in detail above. Specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the idea of ​​the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for constructing PRPD maps, applied to electronic devices, characterized in that, The construction method includes the following steps: Based on the quantization time scale of continuously acquired signals, two partial discharge signals of measuring points are obtained by detecting two selected measuring points on the GIS device to be detected. The two partial discharge signals of measuring points include a first partial discharge signal obtained from one of the measuring points and a second partial discharge signal obtained from the other measuring point. Solve for the two envelope features and time-domain parameters of the partial discharge signals at the two measurement points. The time-domain parameters include the start time and end time of the partial discharge signal at the first measurement point, and also include the start time and end time of the partial discharge signal at the second measurement point. An interference suppression criterion is established based on the partial discharge signals from the two measurement points and the time-domain parameters. Based on the interference suppression judgment criteria and the two envelope features, interference suppression processing is performed to obtain the PRPD map of the GIS device; The method for establishing an interference suppression criterion based on the partial discharge signals from the two measurement points and the time-domain parameters includes the following steps: The time delay between the two measuring points is calculated based on the electromagnetic wave propagation speed and the distance between the two measuring points. The mean value of each envelope feature is calculated based on the time-domain parameters. The root mean square error and skewness are calculated based on the two means. Specifically, the root mean square error is obtained by calculating the two means, and then the skewness is obtained by calculating the root mean square error. The interference suppression criterion is constructed based on the root mean square error, the skewness, the time delay, the time delay perturbation parameter, and the perturbation deviation. The interference suppression criterion λ is: ， in, For time delay disturbance parameters, and This is the start time of the partial discharge signal. and The root mean square error, and The degree of skewness. and This represents the disturbance bias.

2. The construction method as described in claim 1, characterized in that, The process of solving for the two envelope features and time-domain parameters of the partial discharge signal at the two measurement points includes the following steps: Based on a preset autocorrelation sequence, the autocorrelation calculation results of the partial discharge signals at the two measurement points are convolved to obtain the two energy gain results at the two measurement points. The two energy gain results are processed to obtain the two envelope features; The time-domain parameters are obtained by searching for the maximum and minimum values ​​of the envelope features of the two energy gain results.

3. The construction method as described in claim 2, characterized in that, The two energy gain results are processed to obtain the two envelope features; Including the following steps: The two energy gain results are analyzed to obtain two analytical signals; The two analytical signals are processed to obtain the two envelope features of the two energy gain results.

4. The construction method as described in claim 1, characterized in that, The process of performing interference suppression processing based on the interference suppression judgment criteria and the two envelope features to obtain the PRPD map of the GIS device includes the following steps: A long-term three-dimensional pulse signal spectrum is constructed based on the interference suppression judgment criteria and the two envelope features; The three-dimensional pulse signal spectrum is projected onto the two-dimensional period-amplitude plane to obtain the PRPD spectrum.

5. The construction method as described in claim 4, characterized in that, The construction of a long-term three-dimensional PRPS continuous map based on the interference suppression criterion and the two envelope features includes the following steps: Based on the interference suppression judgment criteria and combined with the two envelope features, the interference suppression result of the partial discharge signal at each measurement point is obtained. A selected interference suppression result is used to solve for the standardized sequence; The three-dimensional pulse signal spectrum is constructed by combining the quantization time scale, short time axis coordinates, vector length, quantization time scale, normalized amplitude sequence, and the normalized sequence.

6. The construction method as described in claim 5, characterized in that, The process of selecting an interference suppression result for solution to obtain a standardized sequence includes the following steps: In response to the user's selection request, select the interference suppression result corresponding to one measurement point from the two interference suppression results; Discretize the selected interference suppression results into a sequence; The discretized sequence is vectorized and solved to obtain a vector; The vector is processed to obtain the standardized sequence.

7. A device for constructing PRPD maps, applied to electronic devices, characterized in that, The structural device includes: The signal acquisition module is configured to acquire two partial discharge signals from two selected measurement points on the GIS device to be tested based on the quantization time scale of continuously acquired signals. The two partial discharge signals from the measurement points include a first partial discharge signal from one of the measurement points and a second partial discharge signal from the other measurement point. The data solving module is configured to solve for two envelope features and time-domain parameters of the partial discharge signals at the two measurement points. The time-domain parameters include the start time and end time of the partial discharge signal at the first measurement point, and also include the start time and end time of the partial discharge signal at the second measurement point. The standard establishment module is configured to establish an interference suppression judgment standard based on the partial discharge signals of the two measurement points and the time-domain parameters; An execution module is configured to perform interference suppression processing based on the interference suppression judgment criteria and the two envelope features to obtain the PRPD map of the GIS device. The standard establishment module is specifically used for: The time delay between the two measuring points is calculated based on the electromagnetic wave propagation speed and the distance between the two measuring points. The mean value of each envelope feature is calculated based on the time-domain parameters. The root mean square error and skewness are calculated based on the two means. Specifically, the root mean square error is obtained by calculating the two means, and then the skewness is obtained by calculating the root mean square error. The interference suppression criterion is constructed based on the root mean square error, the skewness, the time delay, the time delay perturbation parameter, and the perturbation deviation. The interference suppression criterion λ is: ， in, For time delay disturbance parameters, and This is the start time of the partial discharge signal. and The root mean square error, and The degree of skewness. and This represents the disturbance bias.

8. An electronic device, characterized in that, The electronic device includes at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs or instructions; The processor is used to execute the computer program or instructions to enable the electronic device to implement the PRPD map construction method as described in any one of claims 1 to 6.

9. A computer-readable storage medium for use in electronic devices, characterized in that, The storage medium carries one or more computer programs that can be executed by the electronic device, thereby enabling the electronic device to implement the PRPD map construction method as described in any one of claims 1 to 6.

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