Switch cabinet equipment partial discharge monitoring method, computer equipment and storage medium

Abstract

The invention relates to the technical field of power grid equipment monitoring and maintenance, and discloses a partial discharge monitoring method for switch cabinet equipment, computer equipment and a storage medium. An embedded sensor is designed and utilized to detect the switch cabinet equipment with partial discharge, and signals generated during detection are collected; and noise elimination and type identification are carried out on the collected signals, so that state evaluation of the switch cabinet equipment can be realized, and the method is efficient, economical and feasible, and has good detection sensitivity and precision.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid equipment monitoring and maintenance, and in particular to a switch cabinet equipment partial discharge monitoring method, computer equipment and storage medium. Background Art

[0002] If any component in the switchgear fails, it will trigger a series of chain reactions and cause the operation of other related equipment to be interrupted, which may cause significant economic losses to the local area due to many factors such as insufficient energy supply. Among them, partial discharge, as a key diagnostic indicator to measure the health and reliability of switchgear equipment, is directly related to the failure of the organic insulation system.

[0003] In view of this, there is an urgent need to find an efficient and economical solution for the condition assessment of switchgear equipment.

[0004] The above information is presented as background information only to assist with understanding the present disclosure and no determination or admission is made as to whether any of the above may be used as prior art with respect to the present disclosure. Summary of the invention

[0005] The present invention provides a switch cabinet equipment partial discharge monitoring method, computer equipment and storage medium to solve the problems existing in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for monitoring partial discharge of a switch cabinet device, the method comprising:

[0008] Using an embedded sensor to detect a switch cabinet device with partial discharge and collect signals generated during the detection, the embedded sensor being embedded in a bushing of the switch cabinet device;

[0009] Remove the noise signal from the collected signal and leave the partial discharge signal;

[0010] The type of the partial discharge signal is identified.

[0011] Further, in the switch cabinet equipment partial discharge monitoring method, the bushing includes a shielding shell and an inductor located in the shielding shell;

[0012] The embedded sensor includes a coaxial cable, an automatic grounding switch, a low voltage capacitor, a live voltage lamp and a filter bank;

[0013] The coaxial cable is connected to the moving contact of the automatic grounding switch, and the stationary contact of the automatic grounding switch is connected to the grounding loop;

[0014] One end of the low-voltage capacitor, the live voltage lamp and the filter group is respectively connected to the moving contact of the automatic grounding switch, and the other end is connected to the grounding loop.

[0015] Furthermore, in the switch cabinet equipment partial discharge monitoring method, the filter group includes a high-pass filter and a low-pass filter connected in parallel.

[0016] Furthermore, in the switch cabinet equipment partial discharge monitoring method, the shielding shell is made of epoxy resin.

[0017] Furthermore, in the switch cabinet equipment partial discharge monitoring method, the inductor is a copper core coil.

[0018] Furthermore, in the switch cabinet equipment partial discharge monitoring method, the step of removing the noise signal from the collected signal to leave the partial discharge signal includes:

[0019] Separate and cluster the collected signals;

[0020] According to the fitting quality of the charge amplitude Weibull distribution, noise signals and partial discharge signals are identified, and the noise signals are eliminated.

[0021] Furthermore, in the switch cabinet equipment partial discharge monitoring method, the step of identifying the type of the partial discharge signal includes:

[0022] The defect type of the partial discharge signal is identified according to typical partial discharge amplitude and phase distribution signatures processed by fuzzy logic.

[0023] Furthermore, in the switch cabinet equipment partial discharge monitoring method, parallel calculation is added in the step of identifying the type of the partial discharge signal.

[0024] In a second aspect, the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the partial discharge monitoring method for switch cabinet equipment provided in the first aspect above is implemented.

[0025] In a third aspect, the present invention provides a storage medium comprising computer executable instructions, wherein the computer executable instructions are executed by a computer processor to implement the method for monitoring partial discharge of switch cabinet equipment as provided in the first aspect above.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The present invention provides a switch cabinet equipment partial discharge monitoring method, computer equipment and storage medium. By designing and utilizing embedded sensors to detect switch cabinet equipment with partial discharge, and collecting signals generated during the detection, and then performing noise removal and type identification on the collected signals, the status evaluation of the switch cabinet equipment can be realized. The method is not only efficient and economical, but also has good detection sensitivity and accuracy.

[0028] The present invention has other features and advantages, which will be apparent from or will be described in detail in the accompanying drawings and the following detailed description incorporated herein, which together serve to explain the specific principles of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 It is a flow chart of a method for monitoring partial discharge of switch cabinet equipment provided in the first embodiment of the present invention;

[0031] Figure 2 is a schematic diagram of the structure of the embedded sensor mentioned in the first embodiment of the present invention;

[0032] Figure 3 is a layout diagram of a partial discharge test circuit of a switch device mentioned in the first embodiment of the present invention;

[0033] Figure 4 is a comparison diagram of the sensitivity of the three types of sensors mentioned in the first embodiment of the present invention as a function of the distance from the PD causing the defect;

[0034] Figure 5 The first embodiment of the present invention is mentioned for Figure 4 The average PD amplitude jump (ΔV) value graph from the cabinet generating PD at the cable terminal to the nearby cabinets for the three types of sensors in the diagram;

[0035] Figure 6-Figure 9 Demonstrated the use of Figure 3 An example of applying the method on measurements of a PD source 1 performed on a switching device;

[0036] Fig.10 The embodiment of the present invention is mentioned in Figure 7 (a) A table of labels and their values ​​used by clusters and subpatterns;

[0037] Fig.11 It is a structural diagram of a computer device provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0038] In order to explain in detail the possible application scenarios, technical principles, specific schemes that can be implemented, and the purposes and effects that can be achieved, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0039] Reference to "embodiment" herein means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the various technical features mentioned in the embodiments can be combined in any way to form a corresponding implementable technical solution.

[0040] Unless otherwise defined, the technical terms used in this document have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms in this document is only for describing specific embodiments and is not intended to limit this application.

[0041] In the description of this application, the term "and / or" is an expression used to describe the logical relationship between objects, indicating that three relationships may exist, for example, A and / or B, which means: A exists, B exists, and A and B exist at the same time. In addition, the character " / " in this article generally indicates that the objects before and after are in an "or" logical relationship.

[0042] In the present application, terms such as “first” and “second” are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship of quantity, priority or sequence between these entities or operations.

[0043] Without further limitations, in this application, the words "include", "comprises", "has" or other similar expressions used in the sentences are intended to cover non-exclusive inclusion. These expressions do not exclude the presence of additional elements in the process, method or product including the elements, so that the process, method or product including a series of elements may include not only those limited elements, but also other elements not explicitly listed, or also include elements inherent to such process, method or product.

[0044] In this application, expressions such as "greater than", "less than", "exceed" and the like are understood to exclude the number itself; expressions such as "above", "below", "within" and the like are understood to include the number itself. In addition, in the description of the embodiments of this application, "multiple" means more than two (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups", "multiple times", etc., unless otherwise clearly and specifically limited.

[0045] In the description of the embodiments of the present application, space-related expressions used, such as "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "vertical", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicate the orientation or position relationship based on the orientation or position relationship shown in the specific embodiments or drawings, and are only for the convenience of describing the specific embodiments of the present application or facilitating the reader's understanding, and do not indicate or imply that the referred device or component must have a specific position, a specific orientation, or be constructed or operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0046] Unless otherwise expressly specified or limited, in the description of the embodiments of the present application, the terms such as "install", "connect", "connect", "fix", "set", etc. used should be understood in a broad sense. For example, the "connection" can be a fixed connection, a detachable connection, or an integrated setting; it can be a mechanical connection, an electrical connection, or a communication connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For technicians in the technical field to which the present application belongs, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0047] Embodiment 1

[0048] Please refer to Figure 1 , is a flow chart of a method for monitoring partial discharge of switch cabinet equipment provided in Embodiment 1 of the present invention. The method specifically comprises the following steps:

[0049] S101. Detecting a switch cabinet device with partial discharge using an embedded sensor, and collecting signals generated during the detection, wherein the embedded sensor is embedded in a bushing of the switch cabinet device.

[0050] It should be noted that typical sensors used in switchgear equipment can generally couple electromagnetic conduction or irradiation signals. Among the former, high-frequency current transformers (HFCT), capacitive couplers, and transient earth voltage sensors (TEV) are well-known sensors. The latter include various types of antennas. All of these are effective methods for extracting partial discharge (PD) signals from switchgear insulation defects.

[0051] But all methods of electromagnetic measurement have a major problem, which is noise, which must be identified and eliminated to effectively perform trend-based PD inference. Therefore, the sensor should be as immune to noise as possible. In addition, the sensor should be selective, that is, it helps to identify which cabinet is affected by PD. In fact, PD signals can propagate from the signal source (such as bushings, cable terminations) to ground wires and medium-voltage leads, and there is limited attenuation between one cabinet and the adjacent cabinets (because the distance between them is very small).

[0052] Currently, most switchgears have an embedded sensor in some bushings, the purpose of which is to indicate the presence or absence of voltage in the panel via a voltage divider. Figure 2 The bushing scheme with a capacitive voltage divider is shown. The voltage divider is designed to transfer voltage, and the applicant has found that it can also be used to detect PD. The adapter used can not only provide PD signals, but also provide synchronization signals (referring to zero voltage) for PD pulse acquisition. This is crucial for achieving correct phase-resolved partial discharge (PRPD) pattern representation, which is to display each partial discharge pulse with a phase mark according to the phase. Therefore, the solution of a new type of partial discharge sensor proposed by the present invention is based on this embedded sensor embedded in the bushing.

[0053] In this embodiment, the sleeve includes a shielding shell and an inductor located in the shielding shell;

[0054] The embedded sensor includes a coaxial cable, an automatic grounding switch, a low voltage capacitor, a live voltage lamp and a filter bank;

[0055] The coaxial cable is connected to the moving contact of the automatic grounding switch, and the stationary contact of the automatic grounding switch is connected to the grounding loop;

[0056] One end of the low-voltage capacitor, the live voltage lamp and the filter group is respectively connected to the moving contact of the automatic grounding switch, and the other end is connected to the grounding loop.

[0057] In an implementation manner of this embodiment, the filter group includes a high-pass filter and a low-pass filter connected in parallel.

[0058] The material of the shielding shell is epoxy resin.

[0059] The inductor is a copper core coil.

[0060] The present invention designs a test circuit consisting of different numbers of cabinets. Artificial partial discharge defects are generated in both the bushing and the cable terminal, such as Figure 3 In addition to embedded sensors, HFCT and TEV sensors are also used to detect partial discharge. Comparison of partial discharge measurement results in different partial discharge tests and defect locations is shown in Figure 4 and Figure 5 As shown. It can be seen that the embedded sensor is usually very selective and can show the largest jump in the amplitude of the partial discharge signal from the cabinet where the partial discharge signal is located to the nearby cabinet. At the same time, to further support this finding, Figure 7 The average PD amplitude jump (ΔV) values ​​from the cabinet where the PD is generated by the defective bushing or cable termination to the nearest cabinet for the three types of sensors are reported.

[0061] in, Figure 3 Layout of circuits for switchgear PD testing (note defective busbars and cable terminations which may be located in different cabinets of different switchgear as PD monitoring points)

[0062] Figure 4 The sensitivity of the three types of sensors and the PD where the defect occurs (located at Figure 3 Comparison of the PD source 2) as a function of the distance in the switch cabinet 3.

[0063] Figure 5 For Figure 4 Average PD amplitude jump (ΔV) values ​​from the cabinet where the PD is generated at the cable terminal to nearby cabinets for the three types of sensors.

[0064] Overall, the embedded sensors appear to have a better ability to locate PDs in the cabinet where they are generated, as PDs coming from near the cabinet appear to be attenuated more than the other two sensor types. This is also a result of using a broadband PD detector with a high-band frequency, as the signal spectral energy becomes very sensitive to the distance from the detection point and the PD location point.

[0065] S102: Remove the noise signal from the collected signal and leave the partial discharge signal.

[0066] In an implementation of this embodiment, the step S102 may be further refined to include the following contents:

[0067] Separate and cluster the collected signals;

[0068] According to the fitting quality of the charge amplitude Weibull distribution, noise signals and partial discharge signals are identified, and the noise signals are eliminated.

[0069] It should be noted that the separation can be based on the extraction of multiple parameters from each signal recorded during the partial discharge measurement, such as equivalent time length, equivalent frequency, entropy, skewness and kurtosis of the amplitude and repetition rate distribution. Relying on multiple parameters increases the possibility of identifying features that can provide a good distinction between groups of signals belonging to different sources. Then, using dimensionality reduction techniques, it is possible to see the projection of the high-dimensional data into a two-dimensional subspace. Removing redundant features can be achieved by principal component analysis. Finally, the data can be automatically clustered using hierarchical clustering or similar techniques.

[0070] The identification of the signal type for each cluster, whether it consists of PD or some kind of noise or crosstalk, can be performed automatically by various statistical, mathematical and artificial intelligence based algorithms. Examples include fitting a two-parameter Weibull distribution of the PD pulse amplitude, computing the second and higher order moments of the signal repetition rate distribution, and performing a linear prediction analysis on each signal belonging to a sub-pattern. The identification of noise from PD is based on the concept that PD signals are more structured in nature compared to noise signals, which are mostly random and therefore lack a clear structure.

[0071] S103: Identify the type of the partial discharge signal.

[0072] In an implementation of this embodiment, the step S103 may be further refined to include the following contents:

[0073] The defect type of the partial discharge signal is identified according to typical partial discharge amplitude and phase distribution signatures processed by fuzzy logic.

[0074] It should be noted that this embodiment relies on simple markers such as the shape parameter of the two-parameter Weibull distribution of charge size combined with artificial intelligence algorithms (such as fuzzy logic) to identify PD defect types.

[0075] ;

[0076] Where q is the charge amplitude from the detected pulse, α and β are scale and shape parameters. β has a recognizable range of values ​​that can indicate, for example, via an artificial intelligence algorithm such as fuzzy logic, whether the detected PD is from an internal or surface defect, or from a corona discharge (as mentioned above, remembering their detrimental nature and the need for planned maintenance, with decreasing importance from internal to corona discharge).

[0077] At the same time, in order to meet the real-time requirements of on-site production and improve production efficiency, parallel computing is added during the recognition process. The specific process is as follows:

[0078] 1. Parallel computing environment settings: Configure a suitable parallel computing environment, such as using multiple computing nodes or using GPU for accelerated computing. Ensure that the system has sufficient computing resources and storage capacity to handle large-scale data and parallel computing tasks.

[0079] 2. Parallel computing framework selection: Select an appropriate parallel computing framework, such as using MPI (Message Passing Interface) or using a GPU programming framework (such as CUDA). Select the most suitable framework to implement the parallelization algorithm according to the specific situation.

[0080] 3. Data parallel processing: Divide a large data set into multiple sub-data sets and assign them to different computing nodes or GPUs for parallel processing. Through data parallelism, multiple data fragments can be processed simultaneously to improve computing efficiency.

[0081] 4. Parallel computing task scheduling: Design appropriate task scheduling and management mechanisms to ensure load balancing between various computing nodes or GPUs and ensure efficient execution of tasks in a parallel computing environment.

[0082] 5. Integration of parallel computing results: After the parallel computing task is completed, the computing results of each computing node or GPU are integrated.

[0083] Through parallel computing, the computational efficiency and speed of identifying partial discharge signal types and noise signals can be effectively improved.

[0084] Figure 6-Figure 9 The use of Figure 3 An example of applying the method on a configuration to perform measurements of a PD source 1 on a switching device:

[0085] in, Figure 6 (a) Global PRPD pattern measured by embedded sensors, (b) related signal pulse groups in a multidimensional graph projected in a 2D plane, (c) result of automatic hierarchical clustering, and (d) representation of automatically clustered sub-patterns in the global pattern. The identification of the clustering properties reported in the figure is determined by Figure 7 in the processing.

[0086] Figure 7 from Figure 6 (b) and 6(c) identify clusters populated by signals generated by PD or noise. The black cluster is the cluster being examined in each case. The relevant sub-patterns (which together form Figure 6 (a) global pattern).

[0087] Figure 8 according to Figure 6 (c) three groups (or Figure 7 A Weibull plot of the charge amplitudes from the data provided by the sub-mode of the . Beta values ​​and correlation coefficient R² are shown.

[0088] Figure 6 Shows how to Figure 6 (a) The global PRPD pattern is automatically separated, which is populated by the peak and phase values ​​of the signal pulses gathered in a multidimensional diagram and projected on Figure 6 The 2D plane in (b) (obtained via PCA decomposition, showing the maximum distances between cluster centroids). Figure 6 (c) shows how automatic hierarchical clustering works. Figure 6 (d) Highlighted Figure 6 Contribution of each cluster selected in (c) to the global pattern.

[0089] The next step is to identify which clusters are filled by PD and which are filled by noise or interference, such as Fig. 9 shown.

[0090] exist Figure 6 Of the three clusters separated in (c), only one contains PD, an inference based on the combination of various signatures obtained from each sub-pattern. Furthermore, the quality of the fit to the charge magnitude Weibull distribution is considered an indicator for distinguishing PD clusters from noise: a good fit may indicate PD, while a poor fit may be associated with noise clusters. This is assessed by testing the goodness of fit R² of each cluster to the Weibull distribution. Figure 8 Shows Figure 6 (c) Weibull plot of the three clusters, along with R² and β values. Other markers that help identify PD and noise are those that represent the structure of the pulse: PD is more structured in nature than noise, which is more random. The pulse structure can be well estimated using markers such as pulse entropy and the skewness of the residuals of the linear prediction of the pulse. The identification is done using a fuzzy logic (automatic) approach (see Figure 7 (indicated by the indicator light).

[0091] The final step is to identify the type of defect that generates partial discharge based on typical partial discharge amplitude and phase distribution signatures processed by fuzzy logic. Fuzzy logic reasoning is based on linguistic expressions (rules) and is applied to fuzzify the information provided by relevant parameters extracted from PRPD patterns, pulse shape analysis, etc. Fig. 9 As shown (each parameter has its own parameter value scale division, such as when =151.0, the values ​​corresponding to the membership of different fuzzy sets (low, medium and high) are: 0.8, 0.2 and 0; Figure 7 The tags and their values ​​used for the clusters and subpatterns in (a) are given in Fig.10). It can be seen that the probability of identifying the internal PD is 100% (in fact, the PD used for testing was generated by a faulty bushing with an internal cavity).

[0092] This table is used according to Figure 7 (a) The PD sub-mode uses fuzzy logic to identify the sign and value (phase angle) of the PD type;

[0093] By means of an automatic, unsupervised separation and identification method such as that provided by the present invention, after removing noise and interference factors from the global PRPD pattern, the time trend of the most important partial discharge quantities (mainly the amplitude at a given probability and average repetition rate) can be established with reference to the partial discharge clusters and sub-patterns. In this way, an effective alarm system can be set up and the contribution of the PD degradation rate to the more general health indicators of the switchgear can be designed. Obviously, the use of an automatic procedure can save the cost of evaluating the health and reliability of the switchgear equipment and can respond quickly in emergency situations.

[0094] The sensor proposed in the present invention meets the requirements of sensitivity and selectivity, and can find the switch cabinet with PD and identify the type of PD. In addition, it is a low-cost solution. In principle, it has been embedded in the bushing for voltage detection. The gain can be amplified by redesigning the coupling capacitor, thereby improving the detection bandwidth and PD detection sensitivity. It can also provide a synchronization signal (synchronized with the power supply voltage), which is very important for identifying the type of defect that produces PD.

[0095] Although the terms switchgear equipment, partial discharge, etc. are used more frequently in this application, the possibility of using other terms is not excluded. These terms are used only to more conveniently describe and explain the essence of the present invention; interpreting them as any additional restrictions is contrary to the spirit of the present invention.

[0096] The present invention provides a method for monitoring partial discharge of switch cabinet equipment. By designing and utilizing embedded sensors to detect switch cabinet equipment with partial discharge, and collecting signals generated during the detection, the collected signals are subjected to noise elimination and type identification, so that the status evaluation of the switch cabinet equipment can be realized. The method is not only efficient and economical, but also has good detection sensitivity and accuracy.

[0097] Embodiment 2

[0098] Fig.11 A schematic diagram of the structure of a computer device provided in Embodiment 2 of the present invention. Fig.11 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. Fig.11 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0099] like Fig.11 As shown, the computer device 12 is in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0100] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0101] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0102] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Fig.11 not shown, usually called a "hard drive"). Although Fig.11 Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0103] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0104] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 22. In addition, the computer device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with the other modules of the computer device 12 via a bus 18. It should be understood that although Fig.11 Not shown, other hardware and / or software modules may be used in conjunction with computer device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0105] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, for example, implementing the partial discharge monitoring method for switch cabinet equipment provided in the embodiment of the present invention.

[0106] Embodiment 3

[0107] Embodiment 3 of the present invention provides a computer-readable storage medium on which computer-executable instructions are stored. When the instructions are executed by a processor, the partial discharge monitoring method for switch cabinet equipment provided in all the embodiments of the invention of this application is implemented.

[0108] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer 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 thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0109] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0110] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0111] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0112] Finally, it should be noted that although the above embodiments have been described in the specification and drawings of this application, this does not limit the scope of patent protection of this application. All technical solutions generated by replacing or modifying equivalent structures or equivalent processes based on the essential concept of this application using the contents recorded in the specification and drawings of this application, as well as directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, are included in the scope of patent protection of this application.

Claims

1. A method for monitoring partial discharge of switch cabinet equipment, characterized in that: The method comprises: Using an embedded sensor to detect a switch cabinet device with partial discharge and collect signals generated during the detection, the embedded sensor being embedded in a bushing of the switch cabinet device; Remove the noise signal from the collected signal and leave the partial discharge signal; The type of the partial discharge signal is identified.

2. The switch cabinet equipment partial discharge monitoring method according to claim 1, characterized in that: The bushing includes a shielding shell and an inductor located within the shielding shell; The embedded sensor includes a coaxial cable, an automatic grounding switch, a low voltage capacitor, a live voltage lamp and a filter bank; The coaxial cable is connected to the moving contact of the automatic grounding switch, and the stationary contact of the automatic grounding switch is connected to the grounding loop; One end of the low-voltage capacitor, the live voltage lamp and the filter group is respectively connected to the moving contact of the automatic grounding switch, and the other end is connected to the grounding loop.

3. The switch cabinet equipment partial discharge monitoring method according to claim 2, characterized in that: The filter bank includes a high-pass filter and a low-pass filter connected in parallel.

4. The switch cabinet equipment partial discharge monitoring method according to claim 2, characterized in that: The material of the shielding shell is epoxy resin.

5. The switch cabinet equipment partial discharge monitoring method according to claim 2, characterized in that: The inductor is a copper core coil.

6. The switch cabinet equipment partial discharge monitoring method according to claim 1, characterized in that: The step of removing the noise signal from the collected signal to leave the partial discharge signal comprises: Separate and cluster the collected signals; According to the fitting quality of the charge amplitude Weibull distribution, noise signals and partial discharge signals are identified, and the noise signals are eliminated.

7. The switch cabinet equipment partial discharge monitoring method according to claim 1, characterized in that: The step of identifying the type of the partial discharge signal comprises: The defect type of the partial discharge signal is identified according to typical partial discharge amplitude and phase distribution signatures processed by fuzzy logic.

8. The switch cabinet equipment partial discharge monitoring method according to claim 1, characterized in that: In the step of identifying the type of the partial discharge signal, parallel calculation is added.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method for monitoring partial discharge of switch cabinet equipment according to any one of claims 1 to 8 is implemented.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions are executed by a computer processor to implement the switch cabinet equipment partial discharge monitoring method according to any one of claims 1 to 8.

Images