Partial discharge detection method and device

Abstract

The present disclosure provides a partial discharge detection method and device, belonging to the field of power detection technology. The method includes: determining the number of points where partial discharge occurs in a target power device based on a target ultrasonic signal; the target ultrasonic signal includes multiple first ultrasonic signals collected by multiple ultrasonic sensors at various preset positions on the target power device; in response to the number of points being less than the first number, determining the location where the partial discharge occurs in the target power device based on the time difference of the multiple first ultrasonic signals; in response to the number of points being greater than or equal to the first number, determining the multiple locations where the partial discharge occurs in the target power device based on the time difference of multiple second ultrasonic signals; the multiple second ultrasonic signals being ultrasonic signals obtained by signal separation of the multiple first ultrasonic signals. The partial discharge detection method and device provided by the present disclosure can improve detection accuracy in the case of multi-point discharge.

Description

Technical Field

[0001] The present disclosure belongs to the field of power detection technology, and more specifically, relates to a partial discharge detection method and device. Background Art

[0002] With the rapid development of the power industry, the operational safety and stability of power equipment are receiving increasing attention. Partial discharge (PD), a common malfunction in power equipment, is crucial for preventing equipment failures and extending its service life. However, traditional PD detection methods often suffer from low sensitivity and poor positioning accuracy, making them inadequate for modern power equipment maintenance.

[0003] In recent years, ultrasonic detection technology has been widely used in the field of partial discharge detection due to its non-contact and high sensitivity. However, existing ultrasonic detection methods still face challenges when dealing with multiple discharge points, especially in complex environments. How to accurately distinguish and locate multiple discharge points has become an urgent problem to be solved. Summary of the Invention

[0004] The present disclosure aims to provide a partial discharge detection method and apparatus to improve the detection accuracy in the case of multi-point discharge.

[0005] According to a first aspect of the present disclosure, a partial discharge detection method is provided, comprising:

[0006] Determining the number of points where partial discharge occurs in the target power equipment based on the target ultrasonic signal; the target ultrasonic signal includes a plurality of first ultrasonic signals collected by a plurality of ultrasonic sensors at respective preset positions of the target power equipment;

[0007] In response to the number of points being less than a first number, determining a location where a partial discharge occurs in the target electrical equipment based on a time difference between the plurality of first ultrasonic signals;

[0008] In response to the number of points being greater than or equal to a first number, multiple locations where partial discharge occurs in the target power equipment are determined based on the time difference of multiple second ultrasonic signals; the multiple second ultrasonic signals are ultrasonic signals obtained by signal separation of the multiple first ultrasonic signals.

[0009] A second aspect of the embodiments of the present disclosure provides a partial discharge detection device, comprising:

[0010] A partial discharge determination module is configured to determine the number of points where partial discharge occurs in a target power device based on a target ultrasonic signal; the target ultrasonic signal includes a plurality of first ultrasonic signals collected by a plurality of ultrasonic sensors at respective preset positions of the target power device;

[0011] a first location module: configured to determine, in response to the number of points being less than a first number, a location where a partial discharge of the target power equipment occurs based on a time difference of the plurality of first ultrasonic signals;

[0012] A second position module: used to determine, in response to the number of points being greater than or equal to the first number, multiple locations where partial discharge occurs in the target power equipment based on the time difference of multiple second ultrasonic signals; the multiple second ultrasonic signals are ultrasonic signals obtained by signal separation of the multiple first ultrasonic signals.

[0013] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned partial discharge detection method when executing the computer program.

[0014] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned partial discharge detection method are implemented.

[0015] The beneficial effects of the partial discharge detection method and device provided by the embodiments of the present disclosure are:

[0016] The disclosed embodiment uses ultrasonic sensors to collect ultrasonic signals at multiple preset locations on target electrical equipment, effectively expanding the detection range and improving sensitivity and accuracy to partial discharges. When the partial discharge point is single, the discharge location is directly located by calculating the time difference between each sensor signal, which is simple and quick. However, in the case of complex multi-point discharges, the disclosed embodiment uses signal separation technology to separate a pure second ultrasonic signal from the mixed signal, and then accurately determines multiple discharge locations based on the time difference between these separated signals, overcoming the limitations of traditional methods in multi-point positioning. This improves the flexibility and accuracy of detection, reduces the possibility of misjudgment and missed detection, and provides a reliable basis for power system maintenance personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, 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 disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 A schematic flow chart of a partial discharge detection method provided in one embodiment of the present disclosure;

[0019] Figure 2 A structural block diagram of a partial discharge detection device provided in one embodiment of the present disclosure;

[0020] Figure 3 A schematic block diagram of an electronic device provided in one embodiment of the present disclosure. DETAILED DESCRIPTION

[0021] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present disclosure. However, it will be apparent to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present disclosure with unnecessary detail.

[0022] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below with reference to the accompanying drawings.

[0023] Please refer to Figure 1 , Figure 1 A flow chart of a partial discharge detection method provided in one embodiment of the present disclosure includes:

[0024] S101: Determine the number of points where partial discharge occurs in a target power device based on a target ultrasonic signal; the target ultrasonic signal includes a plurality of first ultrasonic signals collected by a plurality of ultrasonic sensors at respective preset positions of the target power device.

[0025] In one embodiment of the present disclosure, determining the number of points where partial discharge occurs in a target electrical device based on a target ultrasonic signal includes:

[0026] preprocessing the target ultrasonic signal to obtain a plurality of first ultrasonic signals;

[0027] The number of points where partial discharge occurs in the target electrical equipment is determined according to similarities between the plurality of first ultrasonic signals and the preset ultrasonic signal.

[0028] In this embodiment, a plurality of ultrasonic sensors are used to collect ultrasonic signals at different preset points of the power equipment, and then the number of partial discharge points is analyzed and determined.

[0029] For example, the target power equipment is a power transformer. Four ultrasonic sensors are installed at key locations on the transformer (e.g., windings, insulation, and tank walls). These ultrasonic sensors are positioned to capture ultrasonic signals generated by partial discharge. These ultrasonic sensors can continuously or periodically collect ultrasonic signals and transmit the data to a central processing unit. After receiving the raw ultrasonic signals, the central processing unit preprocesses them. The preprocessing steps may include:

[0030] Filtering: It is used to remove high-frequency noise and low-frequency interference from the original ultrasonic signal and retain the frequency range related to partial discharge.

[0031] Amplification: Appropriately amplify the filtered signal for subsequent analysis.

[0032] Digitization: Converting analog signals into digital signals for easier computer processing.

[0033] After preprocessing, the original ultrasonic signal is converted into a purer and more characteristic first ultrasonic signal.

[0034] The obtained first ultrasonic signal is compared with a preset ultrasonic signal. The preset ultrasonic signal is a known partial discharge signal obtained based on laboratory measurements or historical data. The characteristics of each first ultrasonic signal are compared with the characteristics of the preset ultrasonic signal, and the similarity between them is calculated.

[0035] In one embodiment of the present disclosure, determining the number of points where partial discharge occurs in the target power equipment based on similarities between the plurality of first ultrasonic signals and a preset ultrasonic signal includes:

[0036] For each first ultrasonic signal, if the similarity between the first ultrasonic signal and the preset ultrasonic signal is greater than a first similarity, marking the first ultrasonic signal as a third ultrasonic signal;

[0037] The number of points where partial discharge occurs in the target electrical equipment is determined according to all the third ultrasonic signals.

[0038] In this embodiment, the number of points where partial discharge has occurred in the target power equipment is determined based on the similarity between multiple first ultrasonic signals and a preset ultrasonic signal. First, a similarity threshold (i.e., a first similarity) is set. First ultrasonic signals whose similarity to the preset ultrasonic signal exceeds the threshold are identified as being caused by partial discharge in the target power equipment. First ultrasonic signals with similarities exceeding the threshold are then labeled as third ultrasonic signals and are considered to be associated with partial discharge. Finally, the number of points where partial discharge has occurred is determined based on all third ultrasonic signals.

[0039] When the similarity between the first ultrasonic signals and the preset ultrasonic signals is less than the similarity threshold, it indicates that the first ultrasonic signals are not generated by partial discharge of the target power equipment, and therefore, there is no need to perform subsequent processing on these signals.

[0040] In one embodiment of the present disclosure, a partial discharge detection method further includes:

[0041] Calculating the similarity between the first ultrasonic signal and the preset ultrasonic signal using a first formula;

[0042] The first formula includes:

[0043]

[0044] in, It is represented as the similarity between the first ultrasonic signal and the preset ultrasonic signal, Indicated as the first ultrasonic signal sampling points, Indicates the first sampling points, It is expressed as the number of first ultrasonic signals.

[0045] In this embodiment, a similarity value between 0 and 1 is obtained by calculating the square root of the sum of the squares of the differences between the first ultrasonic signal and the preset ultrasonic signal at two sampling points (the sampling points can be measured values ​​such as amplitude or energy), taking the exponential and adding the reciprocal of 1. When the two signals are identical, the similarity (Y) is close to 1; when the two signals are significantly different, the similarity (Y) is close to 0. To determine whether the first ultrasonic signal is caused by partial discharge in power equipment, a similarity threshold is set. For each first ultrasonic signal, if its similarity to the preset ultrasonic signal is greater than or equal to the threshold, the first ultrasonic signal is marked as the third ultrasonic signal.

[0046] For example, assuming that the first ultrasonic signal and the preset ultrasonic signal both have 1000 sampling points, for each sampling point (from 1 to 1000), compare the sampling points in the first ultrasonic signal and preset sampling points in ultrasonic signals . Calculate the square of the difference between the two, and then sum the squares of the differences of all sampling points to get Finally, calculate the square root of the result from the previous step. Based on historical data, set a similarity threshold (first similarity) of 0.8. If the calculated similarity Y is greater than or equal to 0.7, the first ultrasonic signal is considered to have a high degree of similarity with the preset ultrasonic signal, indicating the presence of partial discharge in the power transformer.

[0047] In one embodiment of the present disclosure, determining the number of points where partial discharge occurs in the target power equipment according to all third ultrasonic signals includes:

[0048] determining a frequency characteristic of each third ultrasonic signal;

[0049] The number of points where partial discharge occurs in the target electric equipment is determined based on the frequency characteristics of each third ultrasonic signal.

[0050] In this embodiment, determining the frequency characteristic of each third ultrasonic signal includes:

[0051] acquiring every third ultrasonic signal;

[0052] transforming the third ultrasonic signal based on Fourier transform to obtain a frequency domain signal corresponding to the third ultrasonic signal;

[0053] Based on the analysis of the frequency domain signal, the frequency characteristics corresponding to the frequency domain signal are obtained.

[0054] In this embodiment, each identified third ultrasonic signal data is sorted, and Fourier transform is applied to the obtained third ultrasonic signal to convert it from the time domain to the frequency domain to obtain the corresponding frequency domain signal. The frequency domain signal describes the amplitude and phase information of different frequency components in the original signal. After obtaining the frequency domain signal, further analysis is performed to extract key frequency features. These frequency features may include the main frequency, sub-main frequency, bandwidth, spectral energy distribution, etc. of the third ultrasonic signal. The main frequency and sub-main frequency are the frequency components with the highest energy in the frequency domain signal. The bandwidth reflects the distribution range of the signal in the frequency domain, while the spectral energy distribution describes the energy distribution of the signal in different frequency bands. By comparing the frequency characteristics of different signals, different discharge sources can be further distinguished, thereby more accurately judging whether local discharge occurs in the target power equipment and the severity and location of the discharge.

[0055] For example, assuming that 12 third ultrasonic signals (S1 to S12) are collected on the power transformer, their frequency characteristics are obtained through frequency domain analysis as follows:

[0056] S1: main frequency 100kHz, sub-main frequency 200kHz;

[0057] S2: main frequency 105kHz, sub-main frequency 205kHz;

[0058] S3: main frequency 150kHz, sub-main frequency 300kHz;

[0059] S4: primary frequency 102kHz, secondary frequency 203kHz;

[0060] S5: primary frequency 155kHz, secondary frequency 310kHz;

[0061] S6: main frequency 300kHz, sub-main frequency 600kHz;

[0062] S7: primary frequency 101kHz, secondary frequency 200kHz;

[0063] S8: primary frequency 103kHz, secondary frequency 202kHz;

[0064] S9: primary frequency 148kHz, secondary frequency 297kHz;

[0065] S10: primary frequency 106kHz, secondary frequency 203kHz;

[0066] S11: primary frequency 153kHz, secondary frequency 307kHz;

[0067] S12: primary frequency 305kHz, secondary frequency 799kHz;

[0068] By comparing the frequency characteristics, we can see that the main and sub-dominant frequencies of S1, S2, S7, S8, S4, and S10 are very close. Therefore, they are grouped together in the same discharge group, indicating that they originate from the same discharge point. Similarly, the main and sub-dominant frequencies of S3, S5, S9, and S11 are very close, so they can be grouped together in another discharge group. The main and sub-dominant frequencies of S6 and S12 are also very close, so they can also be grouped together in another discharge group.

[0069] From the above, we can determine that three partial discharge points occurred in the target power transformer.

[0070] In this embodiment, the partial discharge detection method uses ultrasonic sensors to collect ultrasonic signals at various preset locations on power equipment, accurately identifying the number of points where partial discharge has occurred in the target power equipment. This not only improves the accuracy and efficiency of power equipment fault diagnosis, but also significantly reduces power outages and repair costs caused by equipment failures, providing a strong guarantee for the stability and reliability of power supply. Secondly, the partial discharge detection method utilizes a combination of similarity calculation and frequency characteristic analysis. By comparing the similarity between the actual collected ultrasonic signals and the preset ultrasonic signals, and analyzing the frequency characteristics of the ultrasonic signals, it can more accurately determine the presence of partial discharge in the power equipment. This method not only improves the reliability of fault diagnosis but also makes the management and maintenance of power equipment more scientific and standardized. By performing partial discharge detection on power equipment, potential fault hazards can be promptly identified, and appropriate preventive measures can be taken to avoid failures and extend the service life of the equipment.

[0071] S102 : In response to the number of points being less than a first number, determining a location where partial discharge occurs in the target electrical equipment based on a time difference of a plurality of first ultrasonic signals.

[0072] In this embodiment, the partial discharge detection method uses the time difference between ultrasonic signals to determine the specific location of partial discharge in power equipment. The first number is set to 2, and is used to distinguish whether the power equipment is experiencing single-point or multi-point discharge. If the number of response points is less than 2, the specific location of the discharge is determined by the time difference between the first ultrasonic signals collected by multiple ultrasonic sensors. Based on the calculated time difference, combined with the known propagation speed of ultrasonic waves in power equipment and the spatial position information of the sensors, geometric methods (such as triangulation) are used to calculate the specific location of the partial discharge.

[0073] For example, assume a critical transformer in a substation is located. To monitor its operating status, staff have deployed four ultrasonic sensors (A, B, C, and D) around it. A possible partial discharge (PD) is detected in the transformer. Each of the four sensors captures the ultrasonic signals generated by the PD and transmits them to a central processing system. The central processing system analyzes these signals and determines the number of discharge points to be one. This embodiment calculates the time difference between receiving the ultrasonic signals between each pair of sensors. For example, the time difference between ultrasonic sensor A and ultrasonic sensor B is 0.002 seconds, the time difference between ultrasonic sensor A and ultrasonic sensor C is 0.003 seconds, and so on. Using this time difference data, combined with the precise location of the ultrasonic sensors and the propagation speed of ultrasonic waves in the scene, this embodiment uses a triangulation algorithm to calculate the location of the PD. After the PD location is calculated, a report is automatically generated, showing the approximate location of the PD. Based on this report, staff can quickly conduct on-site inspections and ensure the safe operation of the transformer.

[0074] S103: In response to the number of points being greater than or equal to the first number, determining multiple locations where partial discharge occurs in the target power equipment based on the time difference of multiple second ultrasonic signals; the multiple second ultrasonic signals are ultrasonic signals obtained by signal separation of the multiple first ultrasonic signals.

[0075] In this embodiment, when the number of detected partial discharge points is greater than or equal to a preset first number (e.g., 2), it indicates that multiple partial discharges have occurred in the power equipment. To more accurately locate the locations of these discharge sources, this embodiment performs signal separation processing on the multiple collected first ultrasonic signals to generate multiple second ultrasonic signals. These second ultrasonic signals correspond to different partial discharge sources, and the time differences between the multiple second ultrasonic signals can be used to determine the specific locations of each discharge source.

[0076] In one embodiment of the present disclosure, the plurality of second ultrasonic signals are ultrasonic signals obtained by performing signal separation on the plurality of first ultrasonic signals, and include:

[0077] Separating the first ultrasonic signal by independent component analysis to obtain a plurality of fourth ultrasonic signals;

[0078] The plurality of fourth ultrasonic signals are reconstructed to obtain a plurality of third ultrasonic signals.

[0079] In this embodiment, partial discharges generate ultrasonic signals, which can be used to locate and diagnose equipment faults. However, when multiple partial discharge sources occur simultaneously in power equipment, each source generates an ultrasonic signal. These signals may interfere with each other during propagation, resulting in signal superposition and distortion. This can make a single ultrasonic signal complex and difficult to distinguish, thus affecting the accuracy and reliability of ultrasonic positioning.

[0080] In this embodiment, when multiple partial discharges occur in power equipment, the locations are not determined directly based on the original signals. Instead, the multiple first ultrasonic signals are first separated. Specifically, this involves using Independent Component Analysis (ICA) to separate the multiple first ultrasonic signals and reconstructing the separated signals to obtain a more precise and independent ultrasonic signal (i.e., the third ultrasonic signal), thereby more accurately locating the locations of the partial discharges.

[0081] ICA is a powerful blind source separation technique that can recover the source signal from a mixed signal without knowing the source signal and transmission mixing parameters. In this embodiment, independent component analysis is used to separate the signals generated by independent discharge sources, namely, multiple fourth ultrasonic signals, from multiple first ultrasonic signals. Each fourth ultrasonic signal corresponds to an independent discharge source. After separating the fourth ultrasonic signals, this embodiment can reconstruct the separated fourth ultrasonic signals. The purpose of reconstruction is to further optimize signal quality, reduce noise and other interference, and obtain a purer and more accurate third ultrasonic signal. These third ultrasonic signals will be used in the subsequent discharge location determination step.

[0082] Finally, based on the reconstructed third ultrasonic signal, this embodiment can calculate the time difference between when different ultrasonic sensors receive these signals. Combined with the known propagation speed of ultrasonic waves in power equipment and the spatial position information of the sensors, geometric methods (such as triangulation) are used to estimate the specific location of each discharge source.

[0083] As can be seen from the above, this embodiment uses ultrasonic sensors to collect ultrasonic signals at multiple preset locations on target power equipment, effectively expanding the detection range and improving sensitivity and accuracy for partial discharge. When the partial discharge point is single, the discharge location is directly located by calculating the time difference between each sensor signal, which is simple and quick. However, in complex multi-point discharge situations, this embodiment uses signal separation technology to separate a pure second ultrasonic signal from the mixed signal. Based on the time difference between these separated signals, multiple discharge locations are accurately determined, overcoming the limitations of traditional methods in multi-point positioning. This improves detection flexibility and accuracy, reduces the possibility of misjudgments and missed detections, and provides a reliable basis for power system maintenance personnel.

[0084] In one embodiment of the present disclosure, it further includes:

[0085] If the number of points is less than the first number, a first-level warning will be issued;

[0086] If the number of points is greater than or equal to the first number, respond to the second-level warning;

[0087] The warning level of the second-level warning is higher than that of the first-level warning.

[0088] In this embodiment, ultrasonic sensors installed at various preset locations on the target power equipment collect ultrasonic signals. The system first determines the number of PD points within the power equipment. If the number is less than a preset first threshold, it is considered a single-point PD event and automatically triggers a Level 1 alert, notifying maintenance personnel to address the issue promptly. If the number reaches or exceeds the first threshold, it is identified as a multiple-point PD event and triggers a higher-level Level 2 alert, drawing the urgent attention of maintenance personnel and expediting troubleshooting and resolution, thereby ensuring stable operation of the power equipment.

[0089] For example, if the number of discharge points is less than a first number, it is determined to be a single-point partial discharge, triggering a Level 1 warning. This Level 1 warning can notify maintenance personnel through audio and visual alarms, text message notifications, and other methods, along with the specific discharge location information. If the number of discharge points is greater than or equal to the first number, it is determined to be a multi-point partial discharge, triggering a Level 2 warning. Detailed information, including the location and intensity of the multi-point discharge, is presented to maintenance personnel in a report for further troubleshooting and resolution.

[0090] Corresponding to a partial discharge detection method of the above embodiment, Figure 2 This is a structural block diagram of a partial discharge detection device provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The partial discharge detection device 20 includes: a partial discharge judgment module 21, a first position module 22, and a second position module 23.

[0091] The partial discharge determination module 21 is configured to determine the number of points where partial discharge occurs in the target power equipment based on the target ultrasonic signal; the target ultrasonic signal includes a plurality of first ultrasonic signals collected by a plurality of ultrasonic sensors at respective preset positions of the target power equipment;

[0092] A first location module 22 is configured to determine, in response to the number of points being less than a first number, a location where a partial discharge occurs in the target power equipment based on a time difference of the plurality of first ultrasonic signals;

[0093] The second location module 23 is configured to determine, in response to the number of points being greater than or equal to the first number, multiple locations where partial discharge occurs in the target power equipment based on the time difference of multiple second ultrasonic signals; the multiple second ultrasonic signals are ultrasonic signals obtained by signal separation of the multiple first ultrasonic signals.

[0094] In one embodiment of the present disclosure, the partial discharge determination module 21 is further configured to:

[0095] preprocessing the target ultrasonic signal to obtain a plurality of first ultrasonic signals;

[0096] The number of points where partial discharge occurs in the target electrical equipment is determined according to similarities between the plurality of first ultrasonic signals and the preset ultrasonic signal.

[0097] In one embodiment of the present disclosure, the partial discharge determination module 21 is further configured to:

[0098] For each first ultrasonic signal, if the similarity between the first ultrasonic signal and the preset ultrasonic signal is greater than a first similarity, marking the first ultrasonic signal as a third ultrasonic signal;

[0099] The number of points where partial discharge occurs in the target electrical equipment is determined according to all the third ultrasonic signals.

[0100] In one embodiment of the present disclosure, the partial discharge determination module 21 is further configured to:

[0101] Calculating the similarity between the first ultrasonic signal and the preset ultrasonic signal using a first formula;

[0102] The first formula includes:

[0103]

[0104] in, It is represented as the similarity between the first ultrasonic signal and the preset ultrasonic signal, Indicated as the first ultrasonic signal sampling points, Indicates the first sampling points, It is expressed as the number of first ultrasonic signals.

[0105] In one embodiment of the present disclosure, the partial discharge determination module 21 is further configured to:

[0106] determining a frequency characteristic of each third ultrasonic signal;

[0107] The number of points where partial discharge occurs in the target electric equipment is determined based on the frequency characteristics of each third ultrasonic signal.

[0108] In one embodiment of the present disclosure, the partial discharge determination module 21 is further configured to:

[0109] Separating the first ultrasonic signal by independent component analysis to obtain a plurality of fourth ultrasonic signals;

[0110] The plurality of fourth ultrasonic signals are reconstructed to obtain a plurality of third ultrasonic signals.

[0111] In one embodiment of the present disclosure, a partial discharge detection device further includes:

[0112] If the number of points is less than the first number, a first-level warning will be issued;

[0113] If the number of points is greater than or equal to the first number, respond to the second-level warning;

[0114] The warning level of the second-level warning is higher than that of the first-level warning.

[0115] See also Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 3 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned device embodiments, such as Figure 2 The functions of modules 21 to 23 are shown.

[0116] It should be understood that in the embodiments of the present disclosure, the processor 301 may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0117] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0118] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store device type information.

[0119] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of a partial discharge detection method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0120] In another embodiment of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0121] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or is about to be output.

[0122] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0123] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0124] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or can be an electrical, mechanical or other form of connection.

[0125] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, i.e., they may be located in one place or distributed across multiple network units. Some or all of these units may be selected based on actual needs to achieve the objectives of the embodiments of the present disclosure.

[0126] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0127] The above are only specific embodiments of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or replacements within the technical scope disclosed in this disclosure, and such modifications or replacements should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A partial discharge detection method, characterized in that: include: Determining the number of points where partial discharge occurs in the target power equipment based on the target ultrasonic signal; the target ultrasonic signal includes a plurality of first ultrasonic signals collected by a plurality of ultrasonic sensors at respective preset positions of the target power equipment; In response to the number of points being less than a first number, determining a location where a partial discharge occurs in the target electrical equipment based on a time difference between the plurality of first ultrasonic signals; In response to the number of points being greater than or equal to a first number, determining multiple locations where partial discharge occurs in the target power equipment based on time differences of multiple second ultrasonic signals, wherein the multiple second ultrasonic signals are ultrasonic signals obtained by signal separation of the multiple first ultrasonic signals; The step of determining the number of points where partial discharge occurs in the target electrical equipment based on the target ultrasonic signal includes: preprocessing the target ultrasonic signal to obtain a plurality of first ultrasonic signals; determining the number of points where partial discharge occurs in the target power equipment according to the similarity between the plurality of first ultrasonic signals and a preset ultrasonic signal; The determining the number of points where partial discharge occurs in the target power equipment according to the similarity between the plurality of first ultrasonic signals and the preset ultrasonic signal includes: For each first ultrasonic signal, if the similarity between the first ultrasonic signal and the preset ultrasonic signal is greater than a first similarity, marking the first ultrasonic signal as a third ultrasonic signal; determining the number of points where partial discharge occurs in the target electrical equipment according to all the third ultrasonic signals; Also includes: Calculating the similarity between the first ultrasonic signal and the preset ultrasonic signal using a first formula; The first formula includes: in, It is represented as the similarity between the first ultrasonic signal and the preset ultrasonic signal, Indicated as the first ultrasonic signal sampling points, Indicates the first sampling points, Expressed as the number of first ultrasonic signals; If the number of points is less than the first number, a first-level warning is issued; If the number of points is greater than or equal to the first number, respond to the second level warning; The warning level of the second-level warning is greater than the first-level warning.

2. A partial discharge detection method according to claim 1, characterized in that: The step of determining the number of points where partial discharge occurs in the target electrical equipment according to all the third ultrasonic signals includes: determining a frequency characteristic of each third ultrasonic signal; The number of points where partial discharge occurs in the target electric equipment is determined based on the frequency characteristics of each third ultrasonic signal.

3. A partial discharge detection method according to claim 2, characterized in that: The plurality of second ultrasonic signals are ultrasonic signals obtained by performing signal separation on the plurality of first ultrasonic signals, and include: Separating the first ultrasonic signal by independent component analysis to obtain a plurality of fourth ultrasonic signals; The plurality of fourth ultrasonic signals are reconstructed to obtain a plurality of third ultrasonic signals.

4. A partial discharge detection device, characterized in that: include: A partial discharge determination module is configured to determine the number of points where partial discharge occurs in a target power device based on a target ultrasonic signal; the target ultrasonic signal includes a plurality of first ultrasonic signals collected by a plurality of ultrasonic sensors at respective preset positions of the target power device; a first location module: configured to determine, in response to the number of points being less than a first number, a location where a partial discharge occurs in the target power equipment based on a time difference of the plurality of first ultrasonic signals; a second location module configured to determine, in response to the number of points being greater than or equal to the first number, a plurality of locations where partial discharge occurs in the target power equipment based on time differences of a plurality of second ultrasonic signals, wherein the plurality of second ultrasonic signals are ultrasonic signals obtained by signal separation of the plurality of first ultrasonic signals; The step of determining the number of points where partial discharge occurs in the target electrical equipment based on the target ultrasonic signal includes: preprocessing the target ultrasonic signal to obtain a plurality of first ultrasonic signals; determining the number of points where partial discharge occurs in the target power equipment according to the similarity between the plurality of first ultrasonic signals and a preset ultrasonic signal; The determining the number of points where partial discharge occurs in the target power equipment according to the similarity between the plurality of first ultrasonic signals and the preset ultrasonic signal includes: For each first ultrasonic signal, if the similarity between the first ultrasonic signal and the preset ultrasonic signal is greater than a first similarity, marking the first ultrasonic signal as a third ultrasonic signal; determining the number of points where partial discharge occurs in the target electrical equipment according to all the third ultrasonic signals; Also includes: Calculating the similarity between the first ultrasonic signal and the preset ultrasonic signal using a first formula; The first formula includes: in, It is represented as the similarity between the first ultrasonic signal and the preset ultrasonic signal, Indicated as the first ultrasonic signal sampling points, Indicates the first sampling points, Expressed as the number of first ultrasonic signals; If the number of points is less than the first number, a first-level warning is issued; If the number of points is greater than or equal to the first number, respond to the second level warning; The warning level of the second-level warning is greater than the first-level warning.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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