Adaptive judgment method, device, medium and equipment for partial discharge abnormal signal

Abstract

The adaptive judgment method, device, medium and equipment for partial discharge abnormal signals provided by the present invention are applied to the technical field of partial discharge detection of high-voltage electrical equipment. The present invention monitors the output signals of different measuring points on the circuit breaker. First, determine whether the output signal of the built-in measuring point on the moving side of phase A is abnormal. If the output of phase A is abnormal, and phase B is consistent with phase A but phase C is inconsistent, then the phase difference data between phase A and phase B is obtained, and if it meets the preset standard, the abnormal signal is excluded; conversely, if phase C is consistent with phase A but phase B is inconsistent, then the phase difference data between phase A and phase C is obtained, and if it meets the preset standard, the abnormal signal is excluded. Finally, if the outputs of phases B, C and A are consistent, then the phase difference data between the three is obtained, and if it meets the preset standard, the abnormal signal is excluded. The present invention can effectively judge the interference signal through phase difference analysis, thereby realizing adaptive judgment of abnormal signals and improving the reliability and accuracy of partial discharge monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of partial discharge detection of high-voltage electrical equipment, and in particular to a method, device, medium and equipment for adaptively judging abnormal partial discharge signals. Background Art

[0002] Partial discharge (PD) is a localized discharge phenomenon that is often an early sign of insulation aging or damage in electrical equipment. Therefore, PD monitoring for high-voltage electrical equipment is gaining increasing attention. With the increasing intelligence of power grids, ultra-high frequency (UHF) PD detection technology is becoming widely used. This technology aims to identify the corresponding defect type by monitoring the UHF abnormal signals generated during PD and combining them with statistical graph analysis. This process provides important information on equipment health, facilitating early warning and maintenance decision-making.

[0003] However, the complex electromagnetic environment of actual electrical equipment operation presents numerous challenges for partial discharge monitoring. Factors such as corona on the outlet bushing and external electromagnetic interference (such as mobile phone signals) can affect the signals generated during UHF monitoring, increasing the false alarm rate in monitoring results. This electromagnetic interference not only complicates signal processing but can also mask actual partial discharge signals, reducing monitoring reliability and accuracy.

[0004] Therefore, how to effectively determine the interference signal that is mistakenly identified as an abnormal signal has become a technical problem that those skilled in the art urgently need to solve. Summary of the Invention

[0005] In view of the above problems, the present invention provides a method, device, medium and equipment for adaptively determining abnormal partial discharge signals that overcome the above problems or at least partially solve the above problems. The technical solution is as follows:

[0006] A method for adaptively judging abnormal partial discharge signals, comprising:

[0007] Obtaining measurement signals outputted from different measurement points on a circuit breaker of a target electrical device, wherein the measurement points include a built-in measurement point on the moving side of phase A, a built-in measurement point on the moving side of phase B, and a built-in measurement point on the moving side of phase C of the circuit breaker;

[0008] Determining whether the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal;

[0009] When the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the built-in measurement point on the moving side of phase B are consistent with the output results of the built-in measurement point on the moving side of phase A, and the output results of the built-in measurement point on the moving side of phase C are inconsistent with the output results of the built-in measurement point on the moving side of phase A, obtaining first phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase B, and excluding the abnormal signal if the first phase difference data meets a first preset phase residual standard condition;

[0010] When the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the built-in measurement point on the moving side of phase C are consistent with the output results of the built-in measurement point on the moving side of phase A, and the output results of the built-in measurement point on the moving side of phase B are inconsistent with the output results of the built-in measurement point on the moving side of phase A, obtaining second phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase C, and excluding the abnormal signal if the second phase difference data meets a second preset phase residual standard condition;

[0011] In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the built-in measurement point on the moving side of phase B, the built-in measurement point on the moving side of phase C, and the built-in measurement point on the moving side of phase A are consistent, third phase difference data among the built-in measurement point on the moving side of phase A, the built-in measurement point on the moving side of phase B, and the built-in measurement point on the moving side of phase C are obtained. If the third phase difference data meets a third preset phase residual standard condition, the abnormal signal is eliminated.

[0012] Optionally, the measurement point further includes an external measurement point provided on the phase A moving side of the circuit breaker, and the method further includes:

[0013] In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output result of the external measurement point on the moving side of phase A is consistent with the output result of the built-in measurement point on the moving side of phase A, fourth phase difference data between the built-in measurement point on the moving side of phase A and the external measurement point on the moving side of phase A is obtained, and when the fourth phase difference data satisfies a fourth preset phase residual standard condition and the abnormal signal is a specified signal type, the abnormal signal is eliminated.

[0014] Optionally, the measurement points further include an external measurement point on the phase A moving side of the circuit breaker and a background noise measurement point on the phase B moving side, and the method further includes:

[0015] In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output result of the background noise measurement point on the moving side of phase B is consistent with the output result of the built-in measurement point on the moving side of phase A, and the output result of the external measurement point on the moving side of phase A is inconsistent with the output result of the built-in measurement point on the moving side of phase A, fifth phase difference data between the built-in measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B is obtained, and when the fifth phase difference data meets a fifth preset phase residual standard condition, the abnormal signal is eliminated.

[0016] Optionally, the method further includes:

[0017] In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the background noise measurement point on the moving side of phase B, the external measurement point on the moving side of phase A, and the built-in measurement point on the moving side of phase A are consistent, sixth phase difference data between the built-in measurement point on the moving side of phase A, the external measurement point on the moving side of phase A, and the background noise measurement point on the moving side of phase B are obtained. If the sixth phase difference data meets a sixth preset phase residual standard condition, the abnormal signal is eliminated.

[0018] Optionally, the abnormal signal determination process includes:

[0019] Obtaining envelope characteristics of the measurement signal output by the measurement point;

[0020] Obtaining a standardized two-dimensional phase-amplitude spectrum of the measurement signal using the envelope feature;

[0021] Based on the standardized two-dimensional phase-amplitude spectrum, it is identified whether the measurement signal is the abnormal signal.

[0022] Optionally, the process of obtaining the phase difference data includes:

[0023] For any of the measurement points: using the standardized two-dimensional phase-amplitude spectrum of the measurement signal output by the measurement point, obtaining the phase distribution characteristics corresponding to the measurement point;

[0024] The phase difference data between the measurement points are obtained by utilizing the phase distribution characteristics corresponding to the measurement points having consistent output results.

[0025] Optionally, the obtaining of the phase distribution feature corresponding to the measurement point by using the standardized two-dimensional phase-amplitude spectrum of the measurement signal outputted from the measurement point includes:

[0026] Clustering the standardized two-dimensional phase-amplitude spectrum of the measurement signal output from the measurement point based on a preset clustering threshold to obtain a first clustering result and a feature number;

[0027] Clustering the standardized two-dimensional phase-amplitude spectrum based on the first clustering result and the characteristic number to obtain a second clustering result;

[0028] Based on the first clustering result and the second clustering result, obtaining a composite clustering feature of the standardized two-dimensional phase-amplitude spectrum;

[0029] Utilizing the composite clustering feature, calculating the centroid of the effective clustering interval of the standardized two-dimensional phase-amplitude spectrum;

[0030] The phase distribution range of the centroid is calculated according to a preset sampling frequency to obtain the phase distribution characteristics corresponding to the measurement point.

[0031] An adaptive judgment device for partial discharge abnormal signal includes: a measurement signal acquisition unit, an abnormal signal judgment unit and an abnormal signal determination unit.

[0032] The measurement signal obtaining unit is configured to obtain measurement signals outputted from different measurement points on a circuit breaker of a target electrical device, wherein the measurement points include a built-in measurement point on the moving side of phase A, a built-in measurement point on the moving side of phase B, and a built-in measurement point on the moving side of phase C of the circuit breaker;

[0033] The abnormal signal determination unit is used to determine whether the measurement signal output by the built-in measurement point on the A-phase moving side is an abnormal signal;

[0034] The abnormal signal judging unit is configured to, when the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, obtain first phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A if the output results of the built-in measurement point on the moving side of phase B are consistent with the output results of the built-in measurement point on the moving side of phase A, and if the output results of the built-in measurement point on the moving side of phase C are inconsistent with the output results of the built-in measurement point on the moving side of phase A, and exclude the abnormal signal if the first phase difference data satisfies a first preset phase residual standard condition;

[0035] The abnormal signal judging unit is configured to, when the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, obtain second phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A if the output results of the built-in measurement point on the moving side of phase C are consistent with the output results of the built-in measurement point on the moving side of phase A, and if the output results of the built-in measurement point on the moving side of phase B are inconsistent with the output results of the built-in measurement point on the moving side of phase A, and exclude the abnormal signal if the second phase difference data satisfies a second preset phase residual standard condition;

[0036] The abnormal signal judgment unit is configured to obtain, when the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, third phase difference data between the built-in measurement point on the moving side of phase A, the built-in measurement point on the moving side of phase B, and the built-in measurement point on the moving side of phase C, and eliminate the abnormal signal if the third phase difference data meets a third preset phase residual standard condition.

[0037] A computer-readable storage medium stores a program, which, when executed by a processor, implements the adaptive judgment method for partial discharge abnormality signals.

[0038] An electronic device includes at least one processor, at least one memory connected to the processor, and a bus; wherein the processor and the memory communicate with each other via the bus; the processor is used to call program instructions in the memory to execute the adaptive judgment method for partial discharge abnormality signals.

[0039] By means of the above technical solution, the present invention provides a method, device, medium, and equipment for adaptively determining abnormal partial discharge signals. The present invention monitors and analyzes the output signals of different measurement points on the circuit breaker. First, it determines whether the output signal of the built-in measurement point on the moving side of phase A is abnormal. In the case where the output of phase A is an abnormal signal, if the output of phase B is consistent with the output of phase A and the output of phase C is inconsistent, the first phase difference data between phase A and phase B is obtained. If the first preset phase residual standard is met, the abnormal signal is excluded. Similarly, if phase C is consistent with phase A and phase B is inconsistent, the second phase difference data between phase A and phase C is obtained. If the second preset standard is met, the abnormal signal is excluded. Finally, if the output results of phases B, C, and A are consistent, the third phase difference data between the three is obtained. If the third preset standard is met, the abnormal signal is also excluded. By analyzing the phase differences of the output signals of different measurement points on the circuit breaker, the present invention can effectively determine the misidentified interference signals, thereby realizing adaptive analysis and judgment of abnormal signals, thereby improving the reliability and accuracy of partial discharge monitoring.

[0040] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0042] Figure 1 A schematic flow chart showing an implementation of a method for adaptively determining a partial discharge abnormality signal provided by an embodiment of the present invention;

[0043] Figure 2 A schematic diagram showing a standardized two-dimensional phase-amplitude spectrum of an abnormal signal provided by an embodiment of the present invention;

[0044] Figure 3 A schematic diagram showing a phase distribution feature of a standardized two-dimensional phase-amplitude spectrum provided by an embodiment of the present invention;

[0045] Figure 4 A schematic diagram showing an arrangement of measurement points provided by an embodiment of the present invention is shown;

[0046] Figure 5 A logic block diagram of the decision logic of the adaptive decision provided by an embodiment of the present invention is shown;

[0047] Figure 6 A schematic diagram showing the structure of an adaptive determination device for partial discharge abnormality signals provided by an embodiment of the present invention is shown;

[0048] Figure 7 A schematic structural diagram of an electronic device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0049] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0050] With the rapid development and construction of modern power systems, gas-insulated high-voltage electrical equipment (such as gas-insulated switchgear (GIS) and gas-insulated lines (GIL)) has been widely used due to its superior electrical performance and spatial adaptability. The operating status of this equipment is directly related to the power supply reliability of the power system, making it particularly important to ensure its stability under various operating conditions. High-voltage electrical equipment has a complex internal structure and may contain foreign matter, poor component contact, and insulation material defects. These factors can disrupt the uniformity of the internal electric field, reduce the inception voltage of partial discharge (PD), and thus trigger PD.

[0051] Partial discharge (PD) is an early sign of insulation aging or damage in electrical equipment, and its monitoring is gaining increasing attention. With the increasing intelligence of power grids, ultra-high frequency (UHF) PD detection technology has been widely adopted. By monitoring the UHF abnormal signals generated by PD and performing statistical spectral analysis, the type of equipment defect can be determined, providing information on equipment health status and facilitating early warning and maintenance decisions. However, complex electromagnetic environments (such as corona on the outgoing bushing and external interference) affect the monitoring signals, increasing false alarm rates, increasing signal processing complexity, and potentially masking actual PD signals, thereby reducing monitoring reliability and accuracy.

[0052] To combat these electromagnetic interferences, interference signal processing techniques are currently used for suppression, or hardware filtering is performed at the front end of the signal acquisition process. While these techniques have improved monitoring effectiveness to a certain extent, due to the correlation between the interference signal and the partial discharge signal at the power frequency phase, as well as its similarity to typical defect spectra, existing interference signal suppression methods still have difficulty effectively judging and suppressing such signals. Therefore, there is an urgent need to develop an interference signal judgment technology with low computational complexity and strong practicality. This technology can effectively judge interference signals with phase correlation and correspondence to typical defect spectra in the presence of typical radar interference, mobile phone interference, etc., thereby improving the reliability and accuracy of partial discharge monitoring and providing a solid theoretical foundation for the detection, judgment, and processing of abnormal signals.

[0053] Based on this, an embodiment of the present invention provides an adaptive method for determining abnormal partial discharge signals. First, output signals are obtained from different measurement points on the target electrical equipment circuit breaker, including built-in measurement points located on the active side of phases A, B, and C. Second, a determination is made as to whether the output signal from the built-in measurement point on the active side of phase A is abnormal. If the output of phase A is abnormal, and the output of phase B is consistent with that of phase A but inconsistent with that of phase C, first phase difference data between phases A and B is obtained. If this data meets a first preset phase residual standard, the abnormal signal is excluded. Similarly, if the output of phase C is consistent with that of phase A but inconsistent with that of phase B, second phase difference data between phases A and C is obtained. If this data meets a second preset standard, the abnormal signal is excluded. Furthermore, if the output results of phases B, C, and A are consistent, third phase difference data between these three phases is obtained. If this data meets a third preset standard, the abnormal signal is also excluded. By analyzing the phase differences of the output signals from different measurement points, the present invention can effectively identify erroneous interference signals and implement adaptive analysis and determination of abnormal signals, thereby improving the reliability and accuracy of partial discharge monitoring.

[0054] like Figure 1 FIG. 1 is a flow chart of an implementation of a method for adaptively determining a partial discharge abnormality signal according to an embodiment of the present invention. The method may include:

[0055] S100: Obtain measurement signals outputted by different measurement points on a circuit breaker of a target electrical device, wherein the measurement points include a built-in measurement point on the moving side of phase A, a built-in measurement point on the moving side of phase B, and a built-in measurement point on the moving side of phase C of the circuit breaker.

[0056] The target electrical equipment may be gas-insulated high-voltage electrical equipment, such as gas-insulated switchgear (GIS) and gas-insulated line (GIL).

[0057] Among them, a circuit breaker is a device used for automatic switching in power systems. Its main function is to quickly cut off the current when a circuit fault occurs (such as short circuit or overload) to protect the safety of equipment and circuits.

[0058] The measurement point refers to the location set in the electrical equipment for monitoring and measuring electrical parameters such as current and voltage.

[0059] The "dynamic side" refers to the portion of the circuit breaker that is in the active or operating state. The Phase A dynamic side built-in measurement point refers to the measurement point located inside the side of the circuit breaker where Phase A participates in circuit breaker operation (opening or closing). The Phase B dynamic side built-in measurement point refers to the measurement point located inside the side of the circuit breaker where Phase B participates in circuit breaker operation. The Phase C dynamic side built-in measurement point refers to the measurement point located inside the side of the circuit breaker where Phase C participates in circuit breaker operation.

[0060] The measurement signals are ultra-high frequency signals collected by measuring equipment or sensors installed at the measurement points. These signals usually exist in the form of current or voltage.

[0061] S110 , determining whether the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal.

[0062] Specifically, the embodiment of the present invention can perform signal preprocessing including denoising and normalization on the measurement signal output by the built-in measurement point on the moving side of phase A, and then extract phase amplitude features and time-frequency features from the two-dimensional phase-amplitude spectrum of the measurement signal. These features are input into a pre-trained model for classification to determine whether the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal.

[0063] The abnormal signal provided in the embodiment of the present invention is a signal that can reflect the cause of partial discharge in electrical equipment. Optionally, the abnormal signal may include: insulation defects, metal particles, floating potential, and tip corona.

[0064] S120. When the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output results of the built-in measurement point on the moving side of phase B are consistent with the output results of the built-in measurement point on the moving side of phase A, and the output results of the built-in measurement point on the moving side of phase C are inconsistent with the output results of the built-in measurement point on the moving side of phase A, first phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase B are obtained. If the first phase difference data meets a first preset phase residual standard condition, the abnormal signal is eliminated.

[0065] Phase difference data refers to the phase difference between the measurement signals output from two measurement points, reflecting the relative change of these two measurement signals over time, i.e., phase correlation. Phase difference data is the absolute difference between the phase distribution characteristics of the two measurement signals.

[0066] The first preset phase residual standard condition may be that the first phase difference data is less than a first preset phase residual standard threshold. It is understood that the specific value of the first preset phase residual standard threshold can be set based on actual accuracy requirements. Optionally, embodiments of the present invention may provide a corresponding first preset phase residual standard threshold for each type of abnormal signal.

[0067] Typically, the signals between the three phases (A, B, and C) of a circuit breaker in a power system should be correlated. If phase A outputs an abnormal signal, and the output results for phase B match those for phase A, while the measurement results for phase C differ from those for phase A, the phase difference between phases A and B can be calculated to determine the relative temporal position of the two signals. If the phase difference meets the preset phase residual standard, the changing trends of the two signals are consistent, and the abnormal signal generated by phase A is likely due to temporary interference rather than a true partial discharge fault.

[0068] In an embodiment of the present invention, if the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, and if the measurement signal output by the built-in measurement point on the moving side of phase B is also an abnormal signal, and the signal type of the abnormal signal is consistent with the signal type of the abnormal signal output by the built-in measurement point on the moving side of phase A, then the output results of the built-in measurement point on the moving side of phase B are confirmed to be consistent with those of the built-in measurement point on the moving side of phase A. Similarly, if the measurement signal output by the built-in measurement point on the moving side of phase C is not an abnormal signal, or the signal type is inconsistent with the signal type of the abnormal signal output by the built-in measurement point on the moving side of phase A, then the output results of the built-in measurement point on the moving side of phase C are confirmed to be inconsistent with those of the built-in measurement point on the moving side of phase A.

[0069] S130. When the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output results of the built-in measurement point on the moving side of phase C are consistent with the output results of the built-in measurement point on the moving side of phase A, and the output results of the built-in measurement point on the moving side of phase B are inconsistent with the output results of the built-in measurement point on the moving side of phase A, then obtain second phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase C. If the second phase difference data meets a second preset phase residual standard condition, eliminate the abnormal signal.

[0070] The second preset phase residual standard condition may be that the second phase difference data is less than a second preset phase residual standard threshold. It is understood that the specific value of the second preset phase residual standard threshold can be set based on actual accuracy requirements. Optionally, embodiments of the present invention may provide a corresponding second preset phase residual standard threshold for each type of abnormal signal.

[0071] If phase A outputs an abnormal signal, and the output results for phase C match those for phase A, while the measurement result for phase B differs from that for phase A, the relative temporal position of the two signals can be determined by calculating the phase difference between them. If the phase difference meets the preset phase residual standard, the two signals are trending in the same direction, and the abnormal signal generated by phase A is likely due to temporary interference rather than a true partial discharge fault.

[0072] In this embodiment of the present invention, if the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, and if the measurement signal output by the built-in measurement point on the moving side of phase C is also an abnormal signal, and the signal type of the abnormal signal is consistent with the signal type of the abnormal signal output by the built-in measurement point on the moving side of phase A, then the output results of the built-in measurement point on the moving side of phase C are confirmed to be consistent with the output results of the built-in measurement point on the moving side of phase A. Similarly, if the measurement signal output by the built-in measurement point on the moving side of phase B is not an abnormal signal or the signal type is inconsistent with the signal type of the abnormal signal output by the built-in measurement point on the moving side of phase A, then the output results of the built-in measurement point on the moving side of phase B are confirmed to be inconsistent with the output results of the built-in measurement point on the moving side of phase A.

[0073] S140. When the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output results of the built-in measurement point on the moving side of phase B, the built-in measurement point on the moving side of phase C, and the built-in measurement point on the moving side of phase A are consistent, then third phase difference data between the built-in measurement point on the moving side of phase A, the built-in measurement point on the moving side of phase B, and the built-in measurement point on the moving side of phase C are obtained. If the third phase difference data meets a third preset phase residual standard condition, the abnormal signal is eliminated.

[0074] The third preset phase residual standard condition may be that the first phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase B is less than the third preset phase residual standard threshold, and the second phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase C is also less than the third preset phase residual standard threshold. It will be appreciated that the specific value of the third preset phase residual standard threshold can be set based on actual accuracy requirements. Optionally, embodiments of the present invention may provide a corresponding third preset phase residual standard threshold for each type of abnormal signal.

[0075] If phase A outputs an abnormal signal, and phases B and C output the same results as phase A, calculate the phase difference data between phase A and phases B and C respectively. If the phase difference meets the preset phase residual standard conditions, it means that the change trends of the three signals are consistent. The abnormal signal generated by phase A may be caused by temporary interference rather than a real partial discharge fault.

[0076] The present invention provides an adaptive judgment method for partial discharge abnormal signals, which includes: monitoring and analyzing the output signals of different measurement points on the circuit breaker. First, it is determined whether the output signal of the built-in measurement point on the dynamic side of phase A is abnormal. In the case where the output of phase A is an abnormal signal, if the output of phase B is consistent with the output of phase A and the output of phase C is inconsistent, the first phase difference data between phase A and phase B is obtained, and if the first preset phase residual standard is met, the abnormal signal is excluded. Similarly, if phase C is consistent with phase A and phase B is inconsistent, the second phase difference data between phase A and phase C is obtained, and if the second preset standard is met, the abnormal signal is excluded. Finally, if the output results of phases B, C, and A are consistent, the third phase difference data between the three is obtained, and if the third preset standard is met, the abnormal signal is also excluded. By analyzing the phase differences of the output signals of different measurement points on the circuit breaker, the present invention can effectively determine the misidentified interference signals, thereby realizing adaptive analysis and judgment of abnormal signals, thereby improving the reliability and accuracy of partial discharge monitoring.

[0077] Optional, in the above Figure 1 In another optional embodiment provided by the embodiments of the present invention, based on one or more corresponding embodiments, the measurement point further includes an external measurement point provided on the phase A moving side of the circuit breaker, and the method may further include:

[0078] When the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output results of the external measurement point on the moving side of phase A are consistent with the output results of the built-in measurement point on the moving side of phase A, fourth phase difference data between the built-in measurement point on the moving side of phase A and the external measurement point on the moving side of phase A is obtained. When the fourth phase difference data meets the fourth preset phase residual standard condition and the abnormal signal is a specified signal type, the abnormal signal is eliminated.

[0079] The external measuring point on the moving side of phase A refers to a measuring point located outside the side of phase A of the circuit breaker that participates in the operation of the circuit breaker.

[0080] The fourth preset phase residual standard condition may be that the fourth phase difference data is less than a fourth preset phase residual standard threshold. It is understood that the specific value of the fourth preset phase residual standard threshold can be set based on actual accuracy requirements. Optionally, embodiments of the present invention may provide a corresponding fourth preset phase residual standard threshold for each abnormal signal of a specified signal type.

[0081] Optionally, the specified signal type can be metal particles and suspension potential.

[0082] In power systems, internal and external measurement points should generally reflect similar electrical characteristics and operating conditions. By calculating the phase difference between the internal and external measurement points on the moving side of Phase A, the relative temporal position of the two signals can be determined. If the phase difference meets the preset phase residual standard, the two signals are trending in a consistent manner. The abnormal signal generated by the internal measurement point on the moving side of Phase A is likely due to temporary interference rather than a true partial discharge fault.

[0083] In an embodiment of the present invention, when the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the measurement signal output by the external measurement point on the moving side of phase A is also an abnormal signal, and the signal type of the abnormal signal is consistent with the signal type of the abnormal signal output by the built-in measurement point on the moving side of phase A, then it is confirmed that the output results of the external measurement point on the moving side of phase A are consistent with the output results of the built-in measurement point on the moving side of phase A.

[0084] In this embodiment of the present invention, if the measurement signal output by the built-in measurement point on the moving side of phase A is abnormal, if the output results of the external measurement point on the moving side of phase A are consistent with those of the built-in measurement point, this means that the signal provided by the external measurement point can be used as a reliable basis. Therefore, the phase relationship can be analyzed by calculating the phase difference data between the two. If this phase difference meets the preset phase residual standard conditions and the abnormal signal is of a specific type, it indicates that the abnormal signal generated by phase A is likely caused by temporary interference rather than a true partial discharge fault. This process effectively determines misidentified interference signals and enables adaptive analysis and judgment of abnormal signals, thereby improving the reliability and accuracy of partial discharge monitoring and ensuring the safe and stable operation of the power system.

[0085] Optional, in the above Figure 1 In another optional embodiment provided by the embodiments of the present invention, based on one or more corresponding embodiments, the measurement points further include an external measurement point on the phase A moving side of the circuit breaker and a background noise measurement point on the phase B moving side. The method may further include:

[0086] When the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output result of the background noise measurement point on the moving side of phase B is consistent with the output result of the built-in measurement point on the moving side of phase A, and the output result of the external measurement point on the moving side of phase A is inconsistent with the output result of the built-in measurement point on the moving side of phase A, then fifth phase difference data between the built-in measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B is obtained. When the fifth phase difference data meets the fifth preset phase residual standard condition, the abnormal signal is eliminated.

[0087] The B-phase moving side background noise measurement point refers to a measurement point set on the side of the circuit breaker B phase that participates in the circuit breaker operation and is used to collect background environmental noise.

[0088] The fifth preset phase residual standard condition may be that the fifth phase difference data is less than a fifth preset phase residual standard threshold. It is understood that the specific value of the fifth preset phase residual standard threshold can be set based on actual accuracy requirements. Optionally, embodiments of the present invention may provide a corresponding fifth preset phase residual standard threshold for each type of abnormal signal.

[0089] In the embodiment of the present invention, when the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output results of the background noise measurement point on the moving side of phase B are consistent with the output results of the built-in measurement point on the moving side of phase A, while the output results of the external measurement point on the moving side of phase A are inconsistent with the output results of the built-in measurement point, it indicates that the abnormal signal of the built-in measurement point may be interfered with by background noise. At this time, by obtaining the fifth phase difference data between the built-in measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B, and verifying whether the phase difference data meets the preset fifth phase residual standard, the nature of the abnormal signal can be further confirmed. If the conditions are met, the abnormal signal can be excluded. This process effectively determines the misidentified interference signal, realizes the adaptive analysis and judgment of the abnormal signal, and thus improves the reliability and accuracy of partial discharge monitoring, ensuring the normal operation of the power equipment.

[0090] Optionally, in an embodiment of the present invention, when the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output results of the background noise measurement point on the moving side of phase B, the external measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A are consistent, then the sixth phase difference data between the built-in measurement point on the moving side of phase A, the external measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B are obtained. If the sixth phase difference data meets the sixth preset phase residual standard condition, the abnormal signal is eliminated.

[0091] The sixth preset phase residual standard condition may be that the fourth phase difference data between the internal measurement point on the moving side of phase A and the external measurement point on the moving side of phase A is less than the sixth preset phase residual standard threshold, and the fifth phase difference data between the background noise measurement point on the moving side of phase B and the internal measurement point on the moving side of phase A is also less than the sixth preset phase residual standard threshold. It will be appreciated that the specific value of the sixth preset phase residual standard threshold can be set based on actual accuracy requirements. Optionally, embodiments of the present invention may provide a corresponding sixth preset phase residual standard threshold for each type of abnormal signal.

[0092] In the embodiment of the present invention, when the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output results of the background noise measurement point on the moving side of phase B, the external measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A are consistent, it means that the signal characteristics of all measurement points are consistent, which may indicate that the abnormal signal is interfered with or misidentified. At this time, by calculating the sixth phase difference data between the built-in measurement point on the moving side of phase A, the external measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B, and judging whether the phase difference data meets the preset sixth phase residual standard, the authenticity of the signal can be effectively confirmed. If the sixth phase difference data meets the standard, the abnormal signal of the built-in measurement point on the moving side of phase A can be excluded. This process effectively determines the misidentified interference signal, realizes the adaptive analysis and judgment of the abnormal signal, and thus improves the local release.

[0093] Optionally, the various preset phase residual standard thresholds provided in the embodiments of the present invention may be the same or different. For example, the first preset phase residual standard threshold and the second preset phase residual standard threshold may both be 10, the third preset phase residual standard threshold may be 8, the fourth preset phase residual standard threshold may be 7, and the fifth preset phase residual standard threshold and the sixth preset phase residual standard threshold may both be 9.

[0094] Optional, in the above Figure 1 On the basis of one or more corresponding embodiments, in another optional embodiment provided by the embodiment of the present invention, the abnormal signal determination process may include:

[0095] The envelope characteristics of the measurement signal outputted by the measurement point are obtained; a standardized two-dimensional phase-amplitude spectrum of the measurement signal is obtained using the envelope characteristics; and based on the standardized two-dimensional phase-amplitude spectrum, whether the measurement signal is an abnormal signal is identified.

[0096] Among them, the envelope feature refers to the extraction of the main change trends and morphological characteristics of the signal by analyzing the measurement signal.

[0097] Specifically, the embodiment of the present invention can perform a Hilbert transform on the measurement signal output by the measurement point to obtain a solution, for example:

[0098]

[0099] in, Indicates the measurement signal output by the measurement point; , indicating three phases; , indicating built-in sensors and external sensors; Express The result after Hilbert transform; represents the virtual signal time delay; Represents the time series of the collected signal; Represents a constant factor used to normalize the transformation result.

[0100] Specifically, the embodiment of the present invention can solve the envelope characteristics of the measurement signal based on the measurement signal before and after the Hilbert transform, for example:

[0101]

[0102] in, Represents the envelope characteristics of the measurement signal; represents the measurement signal before Hilbert transform, represents the measurement signal after Hilbert transformation.

[0103] The standardized two-dimensional phase-amplitude spectrum is an analytical tool that graphically displays the phase and amplitude information of a measured signal. In a two-dimensional phase-amplitude spectrum, the horizontal axis represents phase and the vertical axis represents amplitude.

[0104] Specifically, the embodiment of the present invention can construct a two-dimensional phase-amplitude spectrum of the measurement signal based on a preset accumulation time, for example:

[0105]

[0106] in, A two-dimensional phase-amplitude spectrum representing the measured signal; Indicates the sampling frequency; Indicates the preset cumulative time; Indicates amplitude.

[0107] Next, based on the envelope characteristics of the measurement signal, the spectrum peak of the measurement signal is searched in the two-dimensional phase-amplitude spectrum, for example:

[0108]

[0109] in, Indicates the peak value of the spectrum; Represents envelope characteristics.

[0110] Finally, the two-dimensional phase-amplitude spectrum is normalized based on the spectrum peak to obtain a standardized two-dimensional phase-amplitude spectrum, for example:

[0111]

[0112] in, A normalized two-dimensional phase-amplitude spectrum representing the measured signal; Indicates the peak value of the spectrum; Represents the two-dimensional phase-amplitude spectrum of the measured signal.

[0113] Specifically, embodiments of the present invention can pre-set amplitude and phase thresholds for normal signals or utilize machine learning models for training. By comparing the standardized two-dimensional phase-amplitude spectrum of a new measurement signal with the spectrum data of a normal signal, if features that significantly deviate from the normal range are found, the measurement signal can be determined to be an abnormal signal.

[0114] By obtaining the envelope characteristics of the measurement signal output at the measurement point, the embodiments of the present invention can effectively extract key signal information, reflecting its changing trends and strength. The standardized two-dimensional phase-amplitude spectrum constructed using these envelope characteristics not only provides an intuitive visualization tool for signal analysis, but also facilitates systematic comparison and evaluation of signal characteristics. Identifying abnormal signals based on this spectrum provides reliable original signal support for subsequent interference signal elimination, thereby improving the efficiency of adaptive analysis and judgment of abnormal signals.

[0115] Optionally, the phase difference data acquisition process provided in embodiments of the present invention may include: for any measurement point, obtaining a phase distribution characteristic corresponding to the measurement point using a standardized two-dimensional phase-amplitude spectrum of the measurement signal output at the measurement point; and obtaining phase difference data between the measurement points using the phase distribution characteristics corresponding to the measurement points that have consistent output results.

[0116] Figure 2 The figure shows a schematic diagram of a standardized two-dimensional phase-amplitude spectrum of an abnormal signal. The embodiment of the present invention can perform two clustering operations on the standardized two-dimensional phase-amplitude spectrum of the abnormal signal using a clustering method based on DBSCAN (density clustering algorithm) and K-Means (partitioning clustering algorithm). This method utilizes DBSCAN's ability to process noise and find clusters of arbitrary shapes, as well as K-Means's high efficiency in processing large-scale data, to improve the accuracy and robustness of cluster analysis. The results of the two clustering operations are then combined to determine the centroid of the composite clustering feature, and the phase distribution characteristics of the centroid are calculated in conjunction with the sampling frequency. Figure 3 The figure shows a schematic diagram of a phase distribution characteristic of a standardized two-dimensional phase-amplitude spectrum. Finally, the absolute difference in the phase distribution characteristic between any two measurement points with consistent output results is calculated to obtain the phase difference data between the two measurement points.

[0117] By analyzing the standardized two-dimensional phase-amplitude spectrum at any measurement point, the present invention extracts the phase distribution characteristics of that measurement point. These phase distribution characteristics are then compared across multiple measurement points with consistent outputs, effectively calculating the phase difference data between them. This helps identify and determine potential misidentifications and interference signals, thereby enabling adaptive analysis and judgment of abnormal signals.

[0118] Optionally, an embodiment of the present invention can cluster the standardized two-dimensional phase-amplitude spectrum of the measurement signal output by the measurement point based on a preset clustering threshold to obtain a first clustering result and a characteristic number; cluster the standardized two-dimensional phase-amplitude spectrum based on the first clustering result and the characteristic number to obtain a second clustering result; obtain a composite clustering feature of the standardized two-dimensional phase-amplitude spectrum based on the first clustering result and the second clustering result; use the composite clustering feature to calculate the centroid of the effective clustering interval of the standardized two-dimensional phase-amplitude spectrum; calculate the phase distribution range of the centroid according to the preset sampling frequency to obtain the phase distribution feature corresponding to the measurement point.

[0119] Specifically, the embodiment of the present invention can count all data points in the standardized two-dimensional phase-amplitude spectrum of the measurement signal output by the measurement point that are greater than a preset environmental threshold, and then use a clustering method based on DBSCAN (density clustering algorithm) and K-Means (partitioning clustering algorithm) to cluster these data points according to the preset clustering threshold to obtain a first clustering result and feature number, for example:

[0120]

[0121] in, is the first clustering result; The abscissa matrix representing the normalized two-dimensional phase-amplitude spectrum; Any value representing the ordinate matrix of the normalized two-dimensional phase-amplitude spectrum; is the normalized two-dimensional phase-amplitude spectrum; is the preset clustering threshold.

[0122] Specifically, the embodiment of the present invention takes each cluster in the first clustering result as an object based on the number of features obtained by the first clustering, and then takes each object as a cluster center, calculates the distance between each object and each cluster center, and assigns each object to the cluster center closest to it to obtain the second clustering result, for example:

[0123]

[0124] in, is the second clustering result; The abscissa matrix representing the normalized two-dimensional phase-amplitude spectrum; is the characteristic number; Indicates the serial number is The centroid of the cluster, that is, the cluster center; Indicates the serial number is The horizontal coordinate matrix of .

[0125] Specifically, the embodiment of the present invention may perform a product operation on the first clustering result and the second clustering result to obtain a composite clustering feature of the standardized two-dimensional phase-amplitude spectrum, for example:

[0126]

[0127] in, is a composite clustering feature; is the first clustering result; This is the second clustering result.

[0128] Specifically, the embodiment of the present invention can calculate and solve the centroid within the valid clustering interval based on the composite clustering characteristics and the number of sampling points of the phase (x-axis) and amplitude (y-axis) of the spectrum, for example:

[0129]

[0130] in, is the centroid. When there is a feature in the graph, the calculation result of the centroid is , when there are two features in the graph, the calculation result of the centroid is ; The serial number on the x-axis is The sampling point corresponding to the phase; The serial number on the y-axis is The sampling point corresponding to the amplitude of .

[0131] Specifically, in an embodiment of the present invention, the centroid of the valid clustering interval of the normalized two-dimensional phase-amplitude spectrum can be input into the following formula:

[0132]

[0133] The phase distribution range of the centroid is calculated to obtain the phase distribution characteristics of the standardized two-dimensional phase-amplitude spectrum, where: is the phase distribution characteristic; is the preset sampling frequency; is the center of mass.

[0134] It is understood that in the case of calculation of the phase distribution range of the centroid of the standardized two-dimensional phase-amplitude spectrum involving the background noise measurement point, the calculation formula is:

[0135]

[0136] in, is the centroid of the normalized two-dimensional phase-amplitude spectrum of the background noise measurement point.

[0137] The embodiment of the present invention calculates the phase distribution range of the centroid through step-by-step cluster analysis and feature extraction combined with composite cluster features, so that the phase distribution features corresponding to the measurement points finally obtained are more accurate and comprehensive, providing reliable support for the subsequent calculation of phase difference data.

[0138] Optional, Figure 4 The figure shows a schematic diagram of the arrangement of measurement points provided by an embodiment of the present invention. In addition to the internal measurement point on the moving side of phase A, the external measurement point on the moving side of phase A, the internal measurement point on the moving side of phase B, the internal measurement point on the moving side of phase C, and the background noise measurement point on the moving side of phase B, it may also include an external measurement point on the moving side of phase B and an external measurement point on the moving side of phase C. Figure 2 The measurement points shown in the figure can also be set on the three-phase static side of the circuit breaker, and the adaptive judgment of the partial discharge abnormal signal can be performed by combining the three-phase dynamic and static side measurement points and the background noise measurement points. The decision logic of the adaptive judgment can be as follows: Figure 5 shown.

[0139] Although the operations are depicted in a particular order, this should not be understood as requiring that the operations be performed in the particular order shown or in a sequential order.Multitasking and parallel processing may be advantageous under certain circumstances.

[0140] It should be understood that the various steps described in the method embodiments of the present invention may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this respect.

[0141] Corresponding to the above method embodiment, the embodiment of the present invention further provides an adaptive judgment device for partial discharge abnormal signal, the structure of which is as follows: Figure 6 As shown, the system may include: a measurement signal obtaining unit 10 , an abnormal signal determining unit 20 and an abnormal signal judging unit 30 .

[0142] The measurement signal obtaining unit 10 is used to obtain measurement signals output by different measurement points on the circuit breaker of the target electrical device, wherein the measurement points include a built-in measurement point on the moving side of phase A, a built-in measurement point on the moving side of phase B, and a built-in measurement point on the moving side of phase C of the circuit breaker.

[0143] The abnormal signal determination unit 20 is used to determine whether the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal.

[0144] The abnormal signal determination unit 30 is configured to, when the measurement signal outputted by the built-in measurement point on the moving side of phase A is an abnormal signal, obtain first phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A, if the output results of the built-in measurement point on the moving side of phase B are consistent with the output results of the built-in measurement point on the moving side of phase A, and if the output results of the built-in measurement point on the moving side of phase C are inconsistent with the output results of the built-in measurement point on the moving side of phase A, and eliminate the abnormal signal if the first phase difference data satisfies a first preset phase residual standard condition.

[0145] The abnormal signal determination unit 30 is configured to, when the measurement signal outputted by the built-in measurement point on the moving side of phase A is an abnormal signal, obtain second phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A, if the output results of the built-in measurement point on the moving side of phase C are consistent with the output results of the built-in measurement point on the moving side of phase A, and if the output results of the built-in measurement point on the moving side of phase B are inconsistent with the output results of the built-in measurement point on the moving side of phase A, and eliminate the abnormal signal if the second phase difference data meets a second preset phase residual standard condition.

[0146] The abnormal signal judging unit 30 is configured to, when the measurement signal outputted by the built-in measurement point on the moving side of phase A is an abnormal signal, obtain third phase difference data between the built-in measurement point on the moving side of phase A, the built-in measurement point on the moving side of phase B, and the built-in measurement point on the moving side of phase C, and if the output results of the built-in measurement point on the moving side of phase A are consistent, and eliminate the abnormal signal if the third phase difference data satisfies a third preset phase residual standard condition.

[0147] Optionally, the abnormal signal judgment unit 30 can also be used to obtain fourth phase difference data between the built-in measurement point on the moving side of phase A and the external measurement point on the moving side of phase A when the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, if the output result of the external measurement point on the moving side of phase A is consistent with the output result of the built-in measurement point on the moving side of phase A. When the fourth phase difference data meets the fourth preset phase residual standard condition and the abnormal signal is a specified signal type, the abnormal signal is eliminated.

[0148] Optionally, the abnormal signal judgment unit 30 can also be used to obtain fifth phase difference data between the built-in measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B and the background noise measurement point on the moving side of phase A when the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal, and if the output result of the background noise measurement point on the moving side of phase B is consistent with the output result of the built-in measurement point on the moving side of phase A, and the output result of the external measurement point on the moving side of phase A is inconsistent with the output result of the built-in measurement point on the moving side of phase A, and eliminate the abnormal signal when the fifth phase difference data meets the fifth preset phase residual standard condition.

[0149] Optionally, the abnormal signal judgment unit 30 can also be used to obtain sixth phase difference data between the built-in measurement point on the moving side of phase A, the external measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B when the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal. If the output results of the background noise measurement point on the moving side of phase B, the external measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A are consistent, and if the sixth phase difference data meets the sixth preset phase residual standard condition, the abnormal signal is eliminated.

[0150] Optionally, the abnormal signal determination unit 20 can be specifically used to obtain the envelope characteristics of the measurement signal output by the measurement point; use the envelope characteristics to obtain a standardized two-dimensional phase-amplitude spectrum of the measurement signal; and based on the standardized two-dimensional phase-amplitude spectrum, identify whether the measurement signal is an abnormal signal.

[0151] Optionally, the abnormal signal determination unit 30 may further include: a phase difference data acquisition subunit.

[0152] The phase difference data acquisition subunit is used to obtain the phase distribution characteristics corresponding to any measurement point using the standardized two-dimensional phase-amplitude spectrum of the measurement signal output by the measurement point; and to obtain the phase difference data between each measurement point using the phase distribution characteristics corresponding to each measurement point with consistent output results.

[0153] Optionally, the phase difference data acquisition subunit can be specifically used to cluster the standardized two-dimensional phase-amplitude spectrum of the measurement signal output from the measurement point based on a preset clustering threshold to obtain a first clustering result and a characteristic number; cluster the standardized two-dimensional phase-amplitude spectrum based on the first clustering result and the characteristic number to obtain a second clustering result; obtain a composite clustering feature of the standardized two-dimensional phase-amplitude spectrum based on the first clustering result and the second clustering result; use the composite clustering feature to calculate the centroid of the effective clustering interval of the standardized two-dimensional phase-amplitude spectrum; calculate the phase distribution range of the centroid according to the preset sampling frequency to obtain the phase distribution feature corresponding to the measurement point.

[0154] The present invention provides an adaptive determination device for partial discharge abnormal signals, which is used to monitor and analyze the output signals of different measurement points on the circuit breaker. First, it determines whether the output signal of the built-in measurement point on the moving side of phase A is abnormal. In the case where the output of phase A is an abnormal signal, if the output of phase B is consistent with the output of phase A and the output of phase C is inconsistent, the first phase difference data between phase A and phase B is obtained. If the first preset phase residual standard is met, the abnormal signal is excluded. Similarly, if phase C is consistent with phase A and phase B is inconsistent, the second phase difference data between phase A and phase C is obtained. If the second preset standard is met, the abnormal signal is excluded. Finally, if the output results of phases B, C, and A are consistent, the third phase difference data between the three is obtained. If the third preset standard is met, the abnormal signal is also excluded. By analyzing the phase differences of the output signals of different measurement points on the circuit breaker, the present invention can effectively determine the misidentified interference signals, thereby realizing adaptive analysis and determination of abnormal signals, thereby improving the reliability and accuracy of partial discharge monitoring.

[0155] Regarding the apparatus in the above embodiment, the specific manner in which each unit performs operations has been described in detail in the embodiment of the method, and will not be elaborated on here.

[0156] The adaptive determination device for partial discharge abnormal signals includes a processor and a memory. The measurement signal acquisition unit 10, the abnormal signal determination unit 20, and the abnormal signal determination unit 30 are all stored in the memory as program units. The processor executes the program units stored in the memory to implement corresponding functions.

[0157] The processor contains a core, which retrieves the corresponding program unit from memory. One or more cores can be configured. By adjusting core parameters, the system analyzes the phase differences of output signals at different measurement points on the circuit breaker, effectively identifying misidentified interference signals. This enables adaptive analysis and judgment of abnormal signals, thereby improving the reliability and accuracy of partial discharge monitoring.

[0158] An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon. When the program is executed by a processor, the method for adaptively determining a partial discharge abnormal signal is implemented.

[0159] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes the adaptive determination method of the partial discharge abnormality signal when running.

[0160] like Figure 7As shown, an embodiment of the present invention provides an electronic device 1000, comprising at least one processor 1001, at least one memory 1002 connected to the processor 1001, and a bus 1003. The processor 1001 and the memory 1002 communicate with each other via the bus 1003. The processor 1001 is configured to invoke program instructions stored in the memory 1002 to execute the aforementioned method for adaptively determining abnormal partial discharge signals. The electronic device herein may be a server, a PC, a PAD, a mobile phone, or the like.

[0161] The present invention also provides a computer program product, which, when executed on an electronic device, is suitable for executing the program steps of the adaptive determination method for initializing a partial discharge abnormality signal.

[0162] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatuses, electronic devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable device to produce a machine, so that the instructions executed by the processor of the computer or other programmable device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0163] In a typical configuration, an electronic device includes one or more processors (CPUs), a memory, and a bus. The electronic device may also include an input / output interface, a network interface, and the like.

[0164] Memory may include non-permanent memory in a computer-readable medium, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip. Memory is an example of a computer-readable medium.

[0165] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0166] In the description of the present invention, it should be understood that if the terms "up", "down", "front", "back", "left" and "right" are used to indicate directions or positional relationships, they are based on the directions or positional relationships shown in the accompanying drawings. They are only used to facilitate the description of the present invention and simplify the description, and do not indicate or imply that the positions or elements referred to must have a specific direction, be constructed and operate in a specific direction. Therefore, they should not be understood as limitations of the present invention.

[0167] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. It should also be noted that the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, commodity, or device comprising the element.

[0168] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0169] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be within the scope of the present invention.

Claims

1. An adaptive judgment method for abnormal partial discharge signals, characterized in that: include: Obtaining measurement signals outputted from different measurement points on a circuit breaker of a target electrical device, wherein the measurement points include a built-in measurement point on the moving side of phase A, a built-in measurement point on the moving side of phase B, and a built-in measurement point on the moving side of phase C of the circuit breaker; Determining whether the measurement signal output by the built-in measurement point on the moving side of phase A is an abnormal signal; When the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the built-in measurement point on the moving side of phase B are consistent with the output results of the built-in measurement point on the moving side of phase A, and the output results of the built-in measurement point on the moving side of phase C are inconsistent with the output results of the built-in measurement point on the moving side of phase A, obtaining first phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase B, and excluding the abnormal signal if the first phase difference data meets a first preset phase residual standard condition; When the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the built-in measurement point on the moving side of phase C are consistent with the output results of the built-in measurement point on the moving side of phase A, and the output results of the built-in measurement point on the moving side of phase B are inconsistent with the output results of the built-in measurement point on the moving side of phase A, obtaining second phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase C, and excluding the abnormal signal if the second phase difference data meets a second preset phase residual standard condition; In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the built-in measurement point on the moving side of phase B, the built-in measurement point on the moving side of phase C, and the built-in measurement point on the moving side of phase A are consistent, third phase difference data among the built-in measurement point on the moving side of phase A, the built-in measurement point on the moving side of phase B, and the built-in measurement point on the moving side of phase C are obtained. If the third phase difference data meets a third preset phase residual standard condition, the abnormal signal is eliminated.

2. The method according to claim 1, characterized in that The measuring point further includes an external measuring point provided on the phase A moving side of the circuit breaker, and the method further includes: In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output result of the external measurement point on the moving side of phase A is consistent with the output result of the built-in measurement point on the moving side of phase A, fourth phase difference data between the built-in measurement point on the moving side of phase A and the external measurement point on the moving side of phase A is obtained, and when the fourth phase difference data satisfies a fourth preset phase residual standard condition and the abnormal signal is a specified signal type, the abnormal signal is eliminated.

3. The method according to claim 1, characterized in that The measurement points further include an external measurement point on the phase A moving side of the circuit breaker and a background noise measurement point on the phase B moving side, and the method further includes: In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output result of the background noise measurement point on the moving side of phase B is consistent with the output result of the built-in measurement point on the moving side of phase A, and the output result of the external measurement point on the moving side of phase A is inconsistent with the output result of the built-in measurement point on the moving side of phase A, fifth phase difference data between the built-in measurement point on the moving side of phase A and the background noise measurement point on the moving side of phase B is obtained, and when the fifth phase difference data meets a fifth preset phase residual standard condition, the abnormal signal is eliminated.

4. The method according to claim 3, characterized in that Also includes: In a case where the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, if the output results of the background noise measurement point on the moving side of phase B, the external measurement point on the moving side of phase A, and the built-in measurement point on the moving side of phase A are consistent, sixth phase difference data between the built-in measurement point on the moving side of phase A, the external measurement point on the moving side of phase A, and the background noise measurement point on the moving side of phase B are obtained. If the sixth phase difference data meets a sixth preset phase residual standard condition, the abnormal signal is eliminated.

5. The method according to any one of claims 1 to 4, characterized in that The abnormal signal determination process includes: Obtaining envelope characteristics of the measurement signal output by the measurement point; Obtaining a standardized two-dimensional phase-amplitude spectrum of the measurement signal using the envelope feature; Based on the standardized two-dimensional phase-amplitude spectrum, it is identified whether the measurement signal is the abnormal signal.

6. The method according to claim 5, characterized in that The process of obtaining the phase difference data includes: For any of the measurement points: using the standardized two-dimensional phase-amplitude spectrum of the measurement signal output by the measurement point, obtaining the phase distribution characteristics corresponding to the measurement point; The phase difference data between the measurement points are obtained by utilizing the phase distribution characteristics corresponding to the measurement points having consistent output results.

7. The method according to claim 6, characterized in that The obtaining of a phase distribution feature corresponding to the measurement point by using the standardized two-dimensional phase-amplitude spectrum of the measurement signal outputted from the measurement point includes: Clustering the standardized two-dimensional phase-amplitude spectrum of the measurement signal output from the measurement point based on a preset clustering threshold to obtain a first clustering result and a feature number; Clustering the standardized two-dimensional phase-amplitude spectrum based on the first clustering result and the characteristic number to obtain a second clustering result; Based on the first clustering result and the second clustering result, obtaining a composite clustering feature of the standardized two-dimensional phase-amplitude spectrum; Utilizing the composite clustering feature, calculating the centroid of the effective clustering interval of the standardized two-dimensional phase-amplitude spectrum; The phase distribution range of the centroid is calculated according to a preset sampling frequency to obtain the phase distribution characteristics corresponding to the measurement point.

8. An adaptive decision device for abnormal partial discharge signals, characterized in that: include: The measurement signal acquisition unit, the abnormal signal determination unit and the abnormal signal judgment unit, The measurement signal obtaining unit is configured to obtain measurement signals outputted from different measurement points on a circuit breaker of a target electrical device, wherein the measurement points include a built-in measurement point on the moving side of phase A, a built-in measurement point on the moving side of phase B, and a built-in measurement point on the moving side of phase C of the circuit breaker; The abnormal signal determination unit is used to determine whether the measurement signal output by the built-in measurement point on the A-phase moving side is an abnormal signal; The abnormal signal judging unit is configured to, when the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, obtain first phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A if the output results of the built-in measurement point on the moving side of phase B are consistent with the output results of the built-in measurement point on the moving side of phase A, and if the output results of the built-in measurement point on the moving side of phase C are inconsistent with the output results of the built-in measurement point on the moving side of phase A, and exclude the abnormal signal if the first phase difference data satisfies a first preset phase residual standard condition; The abnormal signal judging unit is configured to, when the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, obtain second phase difference data between the built-in measurement point on the moving side of phase A and the built-in measurement point on the moving side of phase A if the output results of the built-in measurement point on the moving side of phase C are consistent with the output results of the built-in measurement point on the moving side of phase A, and if the output results of the built-in measurement point on the moving side of phase B are inconsistent with the output results of the built-in measurement point on the moving side of phase A, and exclude the abnormal signal if the second phase difference data satisfies a second preset phase residual standard condition; The abnormal signal judgment unit is configured to obtain, when the measurement signal output by the built-in measurement point on the moving side of phase A is the abnormal signal, third phase difference data between the built-in measurement point on the moving side of phase A, the built-in measurement point on the moving side of phase B, and the built-in measurement point on the moving side of phase C, and eliminate the abnormal signal if the third phase difference data meets a third preset phase residual standard condition.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the method for adaptively determining a partial discharge abnormality signal according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The electronic device includes at least one processor, at least one memory connected to the processor, and a bus; wherein the processor and the memory communicate with each other via the bus; the processor is used to call program instructions in the memory to execute the adaptive determination method for partial discharge abnormality signals according to any one of claims 1 to 7.

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