A method and system for collecting samples of wireless partial discharge sensors

Abstract

An embodiment of the present invention discloses a method and system for wireless partial discharge sensor sample acquisition. The method includes: collecting partial discharge signals transmitted by a wired UHF partial discharge sensor according to the generated target sample quantity; generating a decimated signal simulating the output signal of a wireless partial discharge sensor by filtering the partial discharge signals, introducing random phase truncation, and decimation; outputting a PRPS map according to the decimated signal, and adding set partial discharge model labels to generate sample data. The method and system save sample acquisition time through an intelligently controlled sample acquisition process, including automatic voltage control, data acquisition, data transmission, and storage, thereby achieving the acquisition of a large number of wireless partial discharge samples and providing a data basis for partial discharge diagnosis algorithms.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment condition detection, and in particular to a method and system for collecting samples of wireless partial discharge sensors. Background Art

[0002] With the continuous upgrading of the power grid digitization, wireless partial discharge sensors based on the Internet of Things technology, which can effectively monitor the partial discharge signals of high-voltage equipment, are widely used in the condition monitoring of substation equipment. The wireless partial discharge sensor is powered by a battery and wirelessly transmits, can be self-awakened regularly, starts to collect a partial discharge signal once, and transmits the signal to the aggregation node, with the characteristics of convenient installation and low cost.

[0003] However, there are many fault modes of partial discharge, mainly divided into metal spikes, insulating air gaps, free metal particles, floating electrodes, etc. Therefore, while applying the wireless partial discharge sensor to monitor the partial discharge signal, it is more desirable to give a diagnosis result of the discharge mode, which is of great significance to the operation and maintenance of high-voltage equipment.

[0004] Currently, there are already research on discharge mode diagnosis based on algorithms such as neural networks and machine learning. These algorithms are usually supervised learning, that is, a large amount of labeled sample data is required. However, the wireless UHF partial discharge sensor has the following defects:

[0005] First, it is difficult to collect on-site samples and the consistency is poor. Just relying on the samples formed by the data of the wireless UHF partial discharge sensors already installed on site, there are problems such as small sample size, incomplete characteristic quantities, and low collection efficiency. Such sample data itself also has obvious limitations, such as class imbalance, inconsistent generation conditions, inconsistent formats, and inconsistent sampling frequencies and points.

[0006] Second, the phase of the sensor startup collection is not synchronized with the power frequency phase. There are obvious differences in the phase characteristics of the power frequency voltage sine wave signal where the partial discharge pulse signal measured by the wireless UHF partial discharge sensor is located among different discharge modes. However, the wireless UHF partial discharge sensor cannot be synchronized with the power frequency voltage signal, that is, the wireless UHF partial discharge sensor starts to collect randomly, and may start at any phase of the power frequency voltage signal, thus losing some diagnostic bases, increasing randomness, reducing the diagnostic accuracy, and ultimately limiting the application of the wireless UHF partial discharge sensor.

[0007] Thirdly, there are great differences in the detection circuits for wireless UHF partial discharge sensors to transmit partial discharge signals. UHF sensors can detect the electromagnetic wave signals generated by partial discharges, and the detection frequency band is generally between 300 MHz and 3 GHz. When partial discharges occur inside high-voltage equipment, the gas breakdown process is very fast, generating nanosecond-level current pulses. Therefore, the electromagnetic waves excited by them contain rich UHF components. At the same time, the coaxial structure of GIS, as a good waveguide, enables the electromagnetic wave signals generated by partial discharges to propagate with less attenuation. However, limited by factors such as power consumption and volume, wireless UHF partial discharge sensors usually use detection circuits to output the envelope of the 300 MHz - 3 GHz discharge signals to the AD converter. While the envelope signal covers most of the main characteristics of partial discharge signals, it greatly reduces the sampling frequency requirements for the ADC converter. However, the detection circuits of different models and manufacturers are not the same, so the diagnostic algorithms and effects are also different, and their applications are also restricted to a certain extent in the digital power grid operation and maintenance system that advocates interoperability and intelligent interconnection. Summary of the Invention

[0008] In order to solve the technical problems that it is difficult to collect on-site samples of wireless UHF partial discharge sensors, the consistency is poor, the starting acquisition phase is not in the same frequency as the power frequency phase, and there are differences in the detection circuits for transmitting partial discharge signals, resulting in the inability to collect a large number of standard sample data for diagnosing partial discharge faults, the present invention is proposed. Embodiments of the present invention provide a method and system for collecting samples of wireless partial discharge sensors.

[0009] According to one aspect of the embodiments of the present invention, a method for collecting samples of wireless partial discharge sensors is provided, including:

[0010] Collect partial discharge signals transmitted by wired UHF partial discharge sensors according to the generated target sample quantity;

[0011] Based on an analog detection circuit, use a parameter-adjustable analog detection algorithm to filter the partial discharge signals to generate detection signals;

[0012] Based on the detection signals, introduce random phases for interception to generate random phase signals;

[0013] Downsample the random phase signals to generate downsampled signals simulating the output signals of wireless partial discharge sensors;

[0014] Output a PRPS spectrum according to the downsampled signals and add set partial discharge model labels to generate sample data.

[0015] Optionally, in the above method embodiments of the present invention, before collecting the partial discharge signal transmitted by the wired UHF partial discharge sensor according to the generated number of target samples, it further includes:

[0016] Step 2.1, select a partial discharge model;

[0017] Step 2.2, keep the high-voltage generating device powered off, and install the selected partial discharge model on the GIS full-scale test platform;

[0018] Step 2.3, generate the operating voltage value of the GIS full-scale test platform and the number of target samples X to be collected;

[0019] Step 2.4, start the high-voltage generating device according to the generated operating voltage value of the GIS full-scale test platform;

[0020] Step 2.5, operate the GIS full-scale test platform to generate a partial discharge signal corresponding to the installed partial discharge model;

[0021] Step 2.6, measure the partial discharge signal with the wired UHF partial discharge sensor connected to the GIS full-scale test platform.

[0022] Optionally, in the above method embodiments of the present invention, before selecting the partial discharge model, it further includes:

[0023] Generate a partial discharge model label corresponding to the partial discharge model.

[0024] Optionally, in the above method embodiments of the present invention, the selection of the partial discharge model includes:

[0025] Select any one of the tip discharge model, floating discharge model, surface discharge model, and internal air gap discharge model.

[0026] Optionally, in the above method embodiments of the present invention, according to the generated number of target samples, collecting the partial discharge signal transmitted by the wired UHF partial discharge sensor includes:

[0027] Step 5.1, collect the partial discharge signal transmitted by the wired UHF partial discharge sensor, where the partial discharge signal is a voltage signal sequence U all including L in voltage sampling points, and the sampling frequency is F in ={U in [1], U in [2], …… U in [n], ……, U all [L S};

[0028] Step 5.2, let \(x = x + 1\), where \(x\) is the number of samples collected, and the initial value of \(x\) is 0. When \(x \lt X\), return to Step 5.1;

[0029] Step 5.3, when \(x = X\), stop the high-voltage generating device.

[0030] Optionally, in each of the above method embodiments of the present invention, after stopping the high-voltage generating device, further included:

[0031] When there are still unselected partial discharge models among the tip discharge model, the suspension discharge model, the surface discharge model, and the internal air gap discharge model, return to Step 2.1, and select any one of the unselected partial discharge models.

[0032] Optionally, in each of the above method embodiments of the present invention, based on the analog detection circuit, a parameter-adjustable analog detection algorithm is used to filter the partial discharge signal to generate a detection signal, including:

[0033] Step 7.1, set the detection signal to be generated as the sequence \(U_0=\{U_0[1],U_0[2],\cdots,U_0[n],\cdots,U_0[L all \}\), when \(n = 1\), let \(U_0[1]=0\);

[0034] Step 7.2, let \(n = n + 1\);

[0035] Step 7.3, when \(U in [n]>U_0[n - 1]\), let \(U_0[n]=U in [n]+V d \), where \(V d is the diode voltage drop in the analog detection circuit, and the analog detection circuit is composed of a diode, a capacitor, and a resistor;

[0036] Step 7.4, when \(U in [n]\leq U_0[n - 1]\), let \(U_0[n]=RCF S *U_0[n - 1] / (RCF S + 1)\), \(RC\) is randomly selected within a preset value range;

[0037] Step 7.5, when \(n \lt L all \), return to Step 7.2, when \(n = L all \), generate the sequence \(U_0\) according to the determined values of \(U_0[1]\) to \(U_0[L all \).

[0038] Optionally, in each of the above method embodiments of the present invention, based on the detection signal, a random phase is introduced for truncation to generate a random phase signal, including:

[0039] Introduce a random phase and generate a random positive integer N off , where 0<N off <L all -L N , L N <L all ;

[0040] For the detection signal sequence U0, from U0[N off ] starts, intercepting the continuous L N detection signal, generating sequence U sim = {U sim [1],U sim [2], ...U sim [a],……,U0[L N ] as a random phase signal, where 0<a≤L N .

[0041] Optionally, in the above method embodiments of the present invention, downsampling the random phase signal to generate a downsampled signal simulating an output signal of the wireless partial discharge sensor includes:

[0042] According to the set downsampling ratio M, from the sequence U sim Select U sim [bM] Generate sequence U' sim , where 0<b≤B, b is a positive integer, and B is L N / Round down value of M;

[0043] The sequence U' sim As a down-sampled signal of the analog wireless partial discharge sensor output signal.

[0044] According to another aspect of an embodiment of the present invention, a wireless partial discharge sensor sample collection system is provided, the system comprising a GIS real-type test platform, a wired ultra-high frequency partial discharge sensor, a high voltage generating device, a data collection unit and a data processing unit, wherein:

[0045] A high voltage generating device, used for providing a high voltage to the GIS real type test platform according to the operating voltage value of the GIS real type test platform sent by the data processing unit, so that the GIS real type test platform is in an operating state;

[0046] GIS real-type test platform, used to install the partial discharge model selected by the data processing unit to simulate partial discharge faults and generate partial discharge signals corresponding to the installed partial discharge model;

[0047] A wired ultra-high frequency partial discharge sensor, used to measure the partial discharge signal generated by the GIS real-type test platform;

[0048] The data acquisition unit is configured to acquire the partial discharge signal transmitted by the wired UHF partial discharge sensor according to the generated number of target samples, and transmit the partial discharge signal and the voltage signal to the data processing unit;

[0049] The data processing unit is configured to generate a partial discharge model label corresponding to the partial discharge model, the operating voltage value of the GIS full-scale test platform, and the number of target samples to be acquired, select a partial discharge model, and filter the partial discharge signal by using a parameter-adjustable analog detection algorithm based on an analog detection circuit to generate a detection signal; introduce a random phase for interception based on the detection signal to generate a random phase signal; perform downsampling on the random phase signal to generate a downsampled signal simulating the output signal of the wireless partial discharge sensor; output a PRPS map according to the downsampled signal, and add the set partial discharge model label to generate sample data.

[0050] Optionally, in each of the above system embodiments of the present invention, the data processing unit selecting a partial discharge model includes:

[0051] Selecting any one of a tip discharge model, a floating discharge model, a surface discharge model, and an internal air gap discharge model.

[0052] Optionally, in each of the above system embodiments of the present invention, the data processing unit acquiring the partial discharge signal transmitted by the wired UHF partial discharge sensor according to the generated number of target samples includes:

[0053] Step 5.1, acquiring the partial discharge signal transmitted by the wired UHF partial discharge sensor, where the partial discharge signal is a voltage signal sequence U all including L in voltage sampling points, U in = {U in [1], U in [2], …… U in [n], ……, U all [L S}, and the sampling frequency is F

[0054] Step 5.2, letting x = x + 1, where x is the number of acquired samples, and the initial value of x is 0. When x < X, return to Step 5.1;

[0055] Step 5.3, when x = X, stop the high-voltage generating device.

[0056] Optionally, in each of the above system embodiments of the present invention, after the data processing unit stops the high-voltage generating device, it further includes:

[0057] When there are still unselected partial discharge models among the tip discharge model, the suspension discharge model, the surface discharge model, and the internal air gap discharge model, select any one of the unselected partial discharge models.

[0058] Optionally, in each of the above system embodiments of the present invention, the data processing unit filters the partial discharge signal based on the analog detection circuit and uses a parameter-adjustable analog detection algorithm to generate a detection signal, including:

[0059] Step 7.1, set the detection signal to be generated as the sequence U0 = {U0[1], U0[2], …… U0[n], ……, U0[L all}, when n = 1, let U0[1] = 0;

[0060] Step 7.2, let n = n + 1;

[0061] Step 7.3, when U in [n] > U0[n - 1], let U0[n] = U in [n] + V d , where V d is the diode voltage drop in the analog detection circuit, and the analog detection circuit is composed of a diode, a capacitor, and a resistor;

[0062] Step 7.4, when U in [n] ≤ U0[n - 1], let U0[n] = RCF S *U0[n - 1] / (RCF S +1), and RC is randomly selected within a preset value range;

[0063] Step 7.5, when n < L all , return to Step 7.2, when n = L all , generate the sequence U0 according to the determined values of U0[1] to U0[L all .

[0064] Optionally, in each of the above system embodiments of the present invention, the data processing unit introduces a random phase for interception based on the detection signal to generate a random phase signal, including:

[0065] Introduce a random phase to generate a random positive integer N off , where 0 < N off < L all -L N , L N < L all ;

[0066] For the detection signal sequence U0, starting from U0[N off , intercept consecutive LN A detected signal is used to generate a sequence U sim ={U sim [1], U sim [2], …… U sim [a], ……, U0[L N as a random phase signal, where 0 < a ≤ L N .

[0067] Optionally, in each of the above system embodiments of the present invention, the data processing unit downsamples the random phase signal, and the generated downsampled signal simulating the output signal of the wireless partial discharge sensor includes:

[0068] According to the set downsampling ratio M, select U sim from the sequence U sim [bM] to generate a sequence U' sim , where 0 < b ≤ B, b is a positive integer, and B is the floor value of L N / M;

[0069] Use the sequence U' sim as the downsampled signal simulating the output signal of the wireless partial discharge sensor.

[0070] The wireless partial discharge sensor sample acquisition method and system provided in this embodiment, the method includes: according to the generated target sample quantity, acquire the partial discharge signals transmitted by the wired ultra-high frequency partial discharge sensor; based on the analog detection circuit, use the parameter-adjustable analog detection algorithm to filter the partial discharge signals to generate detected signals; based on the detected signals, introduce random phases for truncation to generate random phase signals; downsample the random phase signals to generate downsampled signals simulating the output signals of the wireless partial discharge sensors; output the PRPS spectrogram according to the downsampled signals, and add the generated partial discharge model labels to generate sample data. The method and system simulate various partial discharge modes under various high voltage levels based on the GIS full-scale test platform, and through the use of wired ultra-high frequency partial discharge sensors to batch acquire partial discharge signals of the full-scale GIS platform, and the data processing unit performs an intelligent controlled sample acquisition process, including automatic voltage control, data acquisition, data transmission and storage, thereby saving the sample acquisition time. When processing data, an analog algorithm for acquiring signals of the wireless ultra-high frequency partial discharge sensor is added to the acquired samples to generate partial discharge signal samples acquired by the wireless ultra-high frequency partial discharge sensor, thereby solving the problems of short battery life and long transmission time of the wireless ultra-high frequency partial discharge sensor, and finally realizing the acquisition of a large number of wireless partial discharge samples, providing a data basis for the partial discharge diagnosis algorithm.

[0071] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0072] By describing the embodiments of the present invention in more detail in conjunction with the accompanying drawings, the above and other objects, features, and advantages of the present invention will become more obvious. The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0073] Figure 1 is a schematic flowchart of a method for collecting wireless partial discharge sensor samples provided by an exemplary embodiment of the present invention;

[0074] Figure 2 is a schematic flowchart of the preparatory work for collecting partial discharge signals provided by an exemplary embodiment of the present invention;

[0075] Figure 3 is a schematic structural diagram of an equivalent circuit of an analog detection circuit provided by an exemplary embodiment of the present invention;

[0076] Figure 4 is a comparison diagram of the effects of the original signal and the detected signal of the partial discharge signal provided by an exemplary embodiment of the present invention;

[0077] Figure 5 is a comparison diagram of the effects of the original signal, the detected signal, the random phase signal, and the downsampled signal of the partial discharge signal provided by an exemplary embodiment of the present invention;

[0078] Figure 6 is a schematic diagram of a PRPS map provided by an exemplary embodiment of the present invention;

[0079] Figure 7 is a schematic flowchart of a method for repeatedly collecting wireless local sensor samples provided by an exemplary embodiment of the present invention;

[0080] Figure 8 is a schematic structural diagram of a wireless partial discharge sensor sample collection system provided by an exemplary embodiment of the present invention. Detailed Embodiments

[0081] Next, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited by the exemplary embodiments described herein.

[0082] It should be noted that: Unless otherwise specifically stated, the relative arrangements, numerical expressions, and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0083] Those skilled in the art can understand that the terms "first", "second", etc. in the embodiments of the present invention are only used to distinguish different steps, devices, or modules, etc., and neither represent any specific technical meaning nor indicate an inevitable logical order between them.

[0084] It should also be understood that in the embodiments of the present invention, "a plurality of" may refer to two or more, and "at least one" may refer to one, two, or more.

[0085] It should also be understood that for any component, data, or structure mentioned in the embodiments of the present invention, in the absence of a clear limitation or a contrary indication in the context, it can generally be understood as one or more.

[0086] In addition, the term "and / or" in the present invention is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally represents an "or" relationship between the associated objects before and after.

[0087] It should also be understood that the present invention emphasizes the differences between the various embodiments, and the same or similar parts can be referred to each other. For the sake of brevity, they will not be elaborated one by one.

[0088] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0089] The following description of at least one exemplary embodiment is actually merely illustrative and in no way limits the present invention or its application or use.

[0090] Techniques, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and devices should be regarded as part of the specification.

[0091] It should be noted that: Similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0092] Embodiments of the present invention can be applied to electronic devices such as terminal devices, computer systems, servers, etc., which can operate together with many other general-purpose or special-purpose computing system environments or configurations. Examples of well-known terminal devices, computing systems, environments, and / or configurations suitable for use with electronic devices such as terminal devices, computer systems, servers, etc. include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, small computer systems, large computer systems, and distributed cloud computing technology environments including any of the above systems, and so on.

[0093] Terminal devices, computer systems, servers and other electronic devices can be described in the general context of computer system-executable instructions (such as program modules) executed by a computer system. Generally, program modules may include routines, programs, target programs, components, logics, data structures, etc., which perform specific tasks or implement specific abstract data types. The computer system / server can be implemented in a distributed cloud computing environment, where tasks are executed by remote processing devices linked through a communication network. In a distributed cloud computing environment, program modules can be located on local or remote computing system storage media including storage devices.

[0094] Embodiment 1

[0095] Figure 1 is a schematic flowchart of a method for collecting wireless partial discharge sensor samples provided by an exemplary embodiment of the present invention. This embodiment can be stored in a storage medium and applied to an electronic device, such as Figure 1 shown, and includes the following steps:

[0096] Step 101, according to the generated number of target samples, collect the partial discharge signals transmitted by the wired ultra-high frequency partial discharge sensor.

[0097] Before collecting the partial discharge signals transmitted by the wired ultra-high frequency partial discharge sensor, some preparatory work before data collection is required. Figure 2 is a schematic flowchart of the preparatory work for collecting partial discharge signals provided by an exemplary embodiment of the invention. As Figure 2 shown, before collecting the partial discharge signals transmitted by the wired ultra-high frequency partial discharge sensor according to the generated number of target samples, it further includes:

[0098] Step 201, select a partial discharge model;

[0099] Step 202, keep the high-voltage generating device in a power-off state, and install the selected partial discharge model on the GIS true-type test platform;

[0100] Step 203: Generate the operating voltage value of the GIS full-scale test platform and the number of target samples X to be collected.

[0101] Step 204: Start the high-voltage generating device according to the generated operating voltage value of the GIS full-scale test platform.

[0102] Step 205: The GIS full-scale test platform operates to generate partial discharge signals corresponding to the installed partial discharge models.

[0103] Step 206: The wired UHF partial discharge sensor connected to the GIS full-scale test platform measures the partial discharge signals.

[0104] Preferably, before selecting the partial discharge model, it further includes:

[0105] Generate partial discharge model labels corresponding to the partial discharge models.

[0106] Preferably, the selection of the partial discharge model includes:

[0107] Select any one of the tip discharge model, floating discharge model, surface discharge model, and internal air gap discharge model. It should be noted that the partial discharge models are not limited to the above four. When new partial discharge models appear, they can be added to the partial discharge models to be selected. Or when sample data without partial discharge needs to be collected, an option for the no partial discharge model can be added to the partial discharge models to be selected. Correspondingly, set the corresponding partial discharge model labels for the added partial discharge models.

[0108] Preferably, according to the generated number of target samples, collecting the partial discharge signals transmitted by the wired UHF partial discharge sensor includes:

[0109] Step 5.1: Collect the partial discharge signals transmitted by the wired UHF partial discharge sensor, where the partial discharge signals are voltage signal sequences U all including L in voltage sampling points, U in ={U in [1], U in [2], …… U in [n], ……, U all [L S}, and the sampling frequency is F

[0110] Step 5.2: Let x = x + 1, where x is the number of samples collected, and the initial value of x is 0. When x < X, return to Step 5.1;

[0111] Step 5.3: When x = X, stop the high-voltage generating device.

[0112] Preferably, after the high-voltage generating device is stopped, the following steps are further included:

[0113] When there are still unselected partial discharge models among the tip discharge model, suspension discharge model, surface discharge model, and internal air gap discharge model, return to step 201, and select any one of the unselected partial discharge models.

[0114] Step 102: Based on the analog detection circuit, use the parameter-adjustable analog detection algorithm to filter the partial discharge signal to generate a detection signal.

[0115] Preferably, based on the analog detection circuit, using the parameter-adjustable analog detection algorithm to filter the partial discharge signal to generate a detection signal includes:

[0116] Step 7.1: Set the detection signal to be generated as the sequence U0 = {U0[1], U0[2], …… U0[n], ……, U0[L all}, when n = 1, let U0[1] = 0;

[0117] Step 7.2: Let n = n + 1;

[0118] Step 7.3: When U in [n] > U0[n - 1], let U0[n] = U in [n] + V d , where V d is the voltage drop of the diode in the analog detection circuit, and the analog detection circuit is composed of a diode, a capacitor C, and a resistor R;

[0119] Figure 3 is a schematic diagram of the equivalent circuit of the analog detection circuit provided by an exemplary embodiment of the present invention. As Figure 3 shown, the analog detection circuit includes a diode connected to the input end, and a capacitor and a resistor connected to the output end. After the capacitor and the resistor are connected in parallel, the other end is grounded. The diode can be a silicon diode or a germanium diode. In order to simulate the capacitor C and the resistor R, a detection coefficient RC is set, which determines the waveform after detection and is also the difference in the detection circuits of various types of partial discharge sensors. Its unit is ohm method, and the value range of the detection coefficient can be set according to actual situations.

[0120] Step 7.4: When U in [n] ≤ U0[n - 1], let U0[n] = RCF S *U0[n - 1] / (RCF S +1), and RC is randomly selected within the preset value range;

[0121] Step 7.5, when n < L all return to Step 7.2; when n = L all generate sequence U0 according to the determined values of U0[1] to U0[L all .

[0122] Figure 4 is a diagram showing the comparison of the effects of the original signal and the detected signal of the partial discharge signal provided by an exemplary embodiment of the present invention. As Figure 4 shown, the detected signal effectively extracts the low-frequency information in the collected partial discharge signal, filters out the high-frequency signal, and retains most of the partial discharge characteristics, thus providing better data for the output signal of the analog wireless partial discharge sensor.

[0123] Step 103, based on the detected signal, introduce a random phase for truncation to generate a random phase signal.

[0124] Preferably, introducing a random phase for truncation based on the detected signal to generate a random phase signal includes:

[0125] introduce a random phase to generate a random positive integer N off , where 0 < N off < L all - L N , L N < L all ;

[0126] For the detected signal sequence U0, starting from U0[N off , truncate L N consecutive detected signals to generate sequence U sim = {U sim [1], U sim [2], …… U sim [a], ……, U0[L N as the random phase signal, where 0 < a ≤ L N .

[0127] Step 104, downsample the random phase signal to generate a downsampled signal of the output signal of the analog wireless partial discharge sensor.

[0128] Preferably, downsampling the random phase signal to generate a downsampled signal of the output signal of the analog wireless partial discharge sensor includes:

[0129] According to the generated downsampling ratio M, select U sim [bM] from sequence U sim to generate sequence U’ sim , where 0 < b ≤ B, b is a positive integer, and B is L NFloor value of / M;

[0130] Take the sequence U’ sim As the downsampled signal of the output signal of the analog wireless partial discharge sensor.

[0131] 5 is a comparison chart of the effects of the original signal, detected signal, random phase signal, and downsampled signal of the partial discharge signal provided by an exemplary embodiment of the present invention. As Figure 5 shown, the detected signal effectively extracts the low-frequency information in the original signal of the collected partial discharge signal, filters out the high-frequency signals, and retains most of the partial discharge characteristics. After randomly intercepting the signal of the detected signal to generate a random phase signal, the data obtained after downsampling the random phase signal is significantly reduced, so that the size of the downsampled signal of the output signal of the analog wireless partial discharge sensor generated for each collected wired UHF partial discharge signal is greatly reduced, which is more convenient for rapid signal processing and also reduces the requirement for memory storage.

[0132] Step 105, output a PRPS map according to the downsampled signal, and add the generated partial discharge model label to generate sample data.

[0133] Figure 6 is a schematic diagram of the PRPS map provided by an exemplary embodiment of the present invention. As Figure 6 shown, the PRPS map contains three dimensions of the partial discharge signal, namely the measured voltage value, the collected period, and the random phase when collecting the partial discharge signal.

[0134] Figure 7 is a schematic flow chart of the method for repeatedly collecting samples of the wireless local sensor provided by an exemplary embodiment of the present invention. As Figure 7 shown, the method for repeatedly collecting samples of the wireless local sensor in this embodiment starts from step 701.

[0135] Step 701, select a partial discharge model;

[0136] Step 702, the high-voltage generating device remains in the power-off state, and install the selected partial discharge model on the GIS full-scale test platform;

[0137] Step 703, generate the operating voltage value of the GIS full-scale test platform and the target number of samples X to be collected;

[0138] Step 704, start the high-voltage generating device according to the generated operating voltage value of the GIS full-scale test platform;

[0139] Step 705, the GIS full-scale test platform runs to generate partial discharge signals corresponding to the installed partial discharge model;

[0140] Step 706, the wired UHF partial discharge sensor connected to the GIS full-scale test platform measures the partial discharge signal;

[0141] Step 707, collect the partial discharge signals transmitted by the wired UHF partial discharge sensor;

[0142] Step 708, let x = x + 1, where x is the number of collected samples, and the initial value of x is 0, where

[0143] Step 709, when x < X, return to Step 707; when x = X, go to Step 710;

[0144] Step 710, stop the high-voltage generating device;

[0145] Step 711, when there are still unselected partial discharge models, return to Step 701, and select any one of the unselected partial discharge models; when there are no unselected partial discharge models, go to Step 712;

[0146] Step 712, based on the analog detection circuit, use the parameter-adjustable analog detection algorithm to filter the partial discharge signal to generate a detected signal;

[0147] Step 713, based on the detected signal, introduce a random phase for truncation to generate a random phase signal;

[0148] Step 714, downsample the random phase signal to generate a downsampled signal simulating the output signal of the wireless partial discharge sensor;

[0149] Step 715, output the PRPS spectrum according to the downsampled signal, and add the generated partial discharge model label to generate sample data.

[0150] By adjusting the partial discharge models installed in the GIS full-scale voltage test platform and the detection coefficient RC in the detection algorithm, repeated collection of sample data can be achieved, thereby providing a large number of data samples for the partial discharge diagnosis algorithm and providing a data basis for the partial discharge diagnosis algorithm.

[0151] The wireless partial discharge sensor sample acquisition method provided in this embodiment is based on a high-voltage equipment full-scale test platform. Different types of partial discharge mode simulations are carried out at different high voltage levels, and then a large number of partial discharge signals are collected through a wired ultra-high frequency partial discharge sensor. At the same time, when processing data, a signal simulation algorithm for the wireless ultra-high frequency partial discharge sensor is added, thus solving the problem of difficult sample acquisition caused by the short battery life and long transmission time of the wireless ultra-high frequency partial discharge sensor. This method uses a data processing unit to intelligently control the sample acquisition process, including automatic voltage control, acquisition, data processing, storage, etc., saving a lot of time and automatically realizing the acquisition of a large number of samples. Further, this embodiment uses a parameter-adjustable detection algorithm to perform detection processing on the partial discharge signals obtained by the wired ultra-high frequency sensor and the high-speed data acquisition module, and at the same time simulates the processing results of different detection circuits, and adds a random phase to simulate the acquisition characteristics of the wireless ultra-high frequency sensor, so that the sample data is more in line with the actual situation and improves the versatility of the partial discharge diagnosis algorithm.

[0152] Example Two

[0153] Figure 8 is a schematic structural diagram of a wireless partial discharge sensor sample acquisition system provided by an exemplary embodiment of the present invention. As Figure 8 shown, the system includes a GIS full-scale test platform 801, a wired ultra-high frequency partial discharge sensor 802, a high voltage generating device 803, a data acquisition unit 804, and a data processing unit 805, where:

[0154] The high voltage generating device 803 is used to provide a high voltage for the GIS full-scale test platform 801 according to the GIS full-scale test platform operating voltage value sent by the data processing unit 805, so that the GIS full-scale test platform 801 is in an operating state;

[0155] The GIS full-scale test platform 801 is used to install a partial discharge model selected by the data processing unit 805 to simulate a partial discharge fault and generate a partial discharge signal corresponding to the installed partial discharge model;

[0156] The wired ultra-high frequency partial discharge sensor 802 is used to measure the partial discharge signal generated by the GIS full-scale test platform 801;

[0157] The data acquisition unit 804 is used to collect the partial discharge signal transmitted by the wired ultra-high frequency partial discharge sensor according to the generated target sample quantity, and transmit the partial discharge signal and the voltage signal to the data processing unit;

[0158] The data processing unit 805 is configured to generate the partial discharge model label corresponding to the partial discharge model, the operating voltage value of the GIS full-scale test platform, and the number of target samples to be collected, select the partial discharge model, and filter the partial discharge signal based on the analog detection circuit using a parameter-adjustable analog detection algorithm to generate a detection signal; introduce a random phase for truncation based on the detection signal to generate a random phase signal; downsample the random phase signal to generate a downsampled signal simulating the output signal of the wireless partial discharge sensor; output a PRPS pattern according to the downsampled signal, and add the set partial discharge model label to generate sample data.

[0159] Preferably, the data processing unit 805 selects the partial discharge model including:

[0160] Select any one of the tip discharge model, the floating discharge model, the surface discharge model, and the internal air gap discharge model.

[0161] Preferably, the data processing unit 805 collects the partial discharge signal transmitted by the wired UHF partial discharge sensor according to the generated number of target samples, including:

[0162] Step 5.1, collect the partial discharge signal transmitted by the wired UHF partial discharge sensor, where the partial discharge signal is a voltage signal sequence U all including L in voltage sampling points = {U in [1], U in [2], …… U in [n], ……, U in [L all}, and the sampling frequency is F S ;

[0163] Step 5.2, let x = x + 1, where x is the number of collected samples, and the initial value of x is 0. When x < X, return to Step 5.1;

[0164] Step 5.3, when x = X, stop the high-voltage generating device.

[0165] Preferably, after the data processing unit 805 stops the high-voltage generating device, it further includes:

[0166] When there are still unselected partial discharge models among the tip discharge model, the floating discharge model, the surface discharge model, and the internal air gap discharge model, select any one of the unselected partial discharge models.

[0167] Preferably, the data processing unit 805 filters the partial discharge signal based on an analog detection circuit and uses a parameter-adjustable analog detection algorithm to generate a detection signal, including:

[0168] Step 7.1: Set the detection signal to be generated as the sequence U0 = {U0[1], U0[2], …… U0[n], ……, U0[L all}, when n = 1, let U0[1] = 0;

[0169] Step 7.2: Let n = n + 1;

[0170] Step 7.3: When U in [n] > U0[n - 1], let U0[n] = U in [n] + V d , where V d is the voltage drop of the diode in the analog detection circuit, and the analog detection circuit is composed of a diode, a capacitor, and a resistor;

[0171] Step 7.4: When U in [n] ≤ U0[n - 1], let U0[n] = RCF S * U0[n - 1] / (RCF S + 1), and R and C are randomly selected within a preset value range;

[0172] Step 7.5: When n < L all , return to Step 7.2, when n = L all , generate the sequence U0 according to the determined values of U0[1] to U0[L all ;

[0173] Preferably, the data processing unit 805 introduces a random phase for interception based on the detection signal to generate a random phase signal, including:

[0174] Introduce a random phase to generate a random positive integer N off , where 0 < N off < L all - L N , L N < L all ;

[0175] For the detection signal sequence U0, starting from U0[N off , intercept L N consecutive detection signals to generate the sequence U sim = {U sim [1], U sim [2], …… U sim [a], ……, U0[L Nas a random phase signal, where 0 < a ≤ L N .

[0176] Preferably, the data processing unit 805 downsamples the random phase signal, and the generated downsampled signal simulating the output signal of the wireless partial discharge sensor includes:

[0177] According to the set downsampling ratio M, select U from the sequence U sim to select U sim [bM] to generate the sequence U' sim , where 0 < b ≤ B, b is a positive integer, and B is the floor value of L N / M;

[0178] Use the sequence U' sim as the downsampled signal simulating the output signal of the wireless partial discharge sensor.

[0179] In addition to the above methods and systems, embodiments of the present disclosure may also be computer program products, which include computer program instructions that, when run on a processor, cause the processor to execute the steps in the methods of the wireless partial discharge sensor according to various embodiments of the present disclosure described in the above "Exemplary Methods" section of this specification.

[0180] The computer program product can be written in any combination of one or more programming languages for the program code to perform the operations of the embodiments of the present disclosure. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, executed as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0181] Furthermore, embodiments of the present disclosure may also be computer-readable storage media, on which computer program instructions are stored, and when the computer program instructions are run on a processor, cause the processor to execute the steps in the methods of the wireless partial discharge sensor according to various embodiments of the present disclosure described in the above "Exemplary Methods" section of this specification.

[0182] The computer-readable storage medium may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0183] The basic principles of the present disclosure have been described in conjunction with specific embodiments. However, it should be noted that the advantages, benefits, effects, etc. mentioned in the present disclosure are only examples and not limitations. It cannot be considered that these advantages, benefits, effects, etc. are essential for each embodiment of the present disclosure. Additionally, the above-mentioned specific details are only for illustrative and facilitating understanding purposes, and not for limitation. The above details do not limit the present disclosure to necessarily adopt the above specific details for implementation.

[0184] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other. For system embodiments, since they basically correspond to method embodiments, the description is relatively simple. For relevant parts, reference can be made to the partial description of the method embodiments.

[0185] The block diagrams of the devices, apparatuses, equipment, and systems involved in the present disclosure are only illustrative examples and do not intend to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open-ended terms, meaning "including but not limited to", and can be used interchangeably with each other. The word "or" and "and" used herein refer to the word "and / or", and can be used interchangeably with each other, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to", and can be used interchangeably with each other.

[0186] The methods and apparatuses of the present disclosure can be implemented in many ways. For example, the methods and apparatuses of the present disclosure can be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the methods is for illustration only, and the steps of the methods of the present disclosure are not limited to the specific order described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure can also be implemented as a program recorded in a recording medium, and these programs include machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the methods according to the present disclosure.

[0187] It should also be noted that in the apparatuses, devices, and methods of the present disclosure, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present disclosure. The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects are very obvious to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

[0188] The above description has been given for purposes of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A method for collecting samples of wireless partial discharge sensors, characterized in that The method includes: Collect partial discharge signals transmitted by a wired UHF partial discharge sensor according to the generated number of target samples; Based on an analog detection circuit, use a parameter-adjustable analog detection algorithm to filter the partial discharge signals to generate detection signals; Based on the detection signals, introduce a random phase for truncation to generate random phase signals; Downsample the random phase signals to generate downsampled signals simulating the output signals of wireless partial discharge sensors; Output a PRPS pattern according to the downsampled signals and add set partial discharge model labels to generate sample data.

2. The method according to claim 1, characterized in that, Before collecting the partial discharge signals transmitted by the wired UHF partial discharge sensor according to the generated number of target samples, it further includes: Step 2.1, select a partial discharge model; Step 2.2, keep the high-voltage generating device powered off, and install the selected partial discharge model on the GIS full-scale test platform; Step 2.3, generate the operating voltage value of the GIS full-scale test platform and the number of target samples X to be collected; Step 2.4, start the high-voltage generating device according to the generated operating voltage value of the GIS full-scale test platform; Step 2.5, the GIS full-scale test platform operates to generate partial discharge signals corresponding to the installed partial discharge model; Step 2.6, a wired UHF partial discharge sensor connected to the GIS full-scale test platform measures the partial discharge signals.

3. The method according to claim 2, wherein Before selecting the partial discharge model, it further includes: Generate partial discharge model labels corresponding to the partial discharge model.

4. The method according to claim 2, wherein The selection of the partial discharge model includes: Select any one of the tip discharge model, floating discharge model, surface discharge model, and internal air gap discharge model.

5. The method according to claim 2, characterized in that, Collecting the partial discharge signals transmitted by the wired UHF partial discharge sensor according to the generated number of target samples includes: Step 5.1, collect the partial discharge signal transmitted by the wired UHF partial discharge sensor, where the partial discharge signal is a voltage signal sequence including L all voltage sampling points U in ={ U in [1], U in [2], …… U in [n], ……, U in L all}, and the sampling frequency is F S ;​ Step 5.2, let x = x + 1, where x is the number of collected samples, the initial value of x is 0, and when x < X, return to Step 5.1; Step 5.3, when x = X, stop the high-voltage generating device.

6. The method according to claim 5, wherein After stopping the high-voltage generating device, it further includes: When there are still unselected partial discharge models among the tip discharge model, floating discharge model, surface discharge model, and internal air gap discharge model, return to Step 2.1 and select any one of the unselected partial discharge models.

7. The method according to claim 5, wherein Based on an analog detection circuit, using a parameter-adjustable analog detection algorithm to filter the partial discharge signals to generate detection signals includes: Step 7.1, set the detected signal to be generated as the sequence U 0 ={ U 0 [1], U 0 [2],…… U 0 [n],……, U 0 L all}, when n = 1, let U 0 [1]=0;​ Step 7.2, let n = n + 1; Step 7.3, when U in [n] > U 0 [n - 1], let U 0 [n] = U in [n] + V d , where V d is the voltage drop of the diode in the analog detection circuit, and the analog detection circuit is composed of a diode, a capacitor C, and a resistor R; Step 7.4, when U in [n] ≤ U 0 [n - 1], let U 0 [n] = RC F S *U 0 [n - 1] / (RC F S + 1), where R and C are randomly selected within a preset value range; Step 7.5, when n < L all , return to Step 7.2, when n = L all , according to the determined U 0 [1] to U 0 L all , generate a sequence U 0 .​ 8. The method according to claim 7, wherein Based on the detection signals, introducing a random phase for truncation to generate random phase signals includes: Introduce a random phase to generate a random positive integer N off , where, 0 < N off < L all - L N , L N < L all ; For the detected signal sequence U 0 , starting from U 0 N off , intercept consecutive L N detected signals to generate a sequence U sim ={ U sim [1], U sim [2],…… U sim [a],……, U sim L N} as a random phase signal, where 0 < a ≤ L N .​​ 9. The method according to claim 8, wherein Downsampling the random phase signals to generate downsampled signals simulating the output signals of wireless partial discharge sensors includes: According to the set downsampling ratio M , select from the sequence U sim to generate the sequence U sim [b M , where 0 < b ≤ U’ sim , b is a positive integer, and B is the floor value of B for L N / M ; Take the sequence U’ sim as the downsampled signal simulating the output signal of the wireless partial discharge sensor.

10. A wireless partial discharge sensor sample acquisition system, characterized in that, The system includes a GIS full-scale test platform, a wired UHF partial discharge sensor, a high-voltage generating device, a data acquisition unit, and a data processing unit, where: The high-voltage generating device is used to provide a high-voltage signal for the GIS full-scale test platform according to the operating voltage value of the GIS full-scale test platform sent by the data processing unit, so that the GIS full-scale test platform is in an operating state; GIS full-scale test platform, which is used to install the partial discharge model selected by the data processing unit to simulate partial discharge faults and generate partial discharge signals corresponding to the installed partial discharge model; Wired UHF partial discharge sensor, which is used to measure the partial discharge signals generated by the GIS full-scale test platform; Data acquisition unit, which is used to acquire the partial discharge signals transmitted by the wired UHF partial discharge sensor according to the set target sample quantity, and transmit the partial discharge signals and the high voltage signals to the data processing unit; Data processing unit, which is used to generate the partial discharge model label corresponding to the partial discharge model, the operating voltage value of the GIS full-scale test platform and the target sample quantity to be acquired, select the partial discharge model, and filter the partial discharge signals by using a parameter-adjustable analog detection algorithm based on an analog detection circuit to generate detection signals; based on the detection signals, introduce random phases for interception to generate random phase signals; downsample the random phase signals to generate downsampled signals simulating the output signals of wireless partial discharge sensors; output PRPS maps according to the downsampled signals, and add the set partial discharge model labels to generate sample data.

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