Transformer vibration monitoring frequency screening method, monitoring method, equipment and medium
By constructing a matrix group and filtering the frequency band, the effectiveness of transformer vibration signal monitoring under limited communication channel is solved, and effective monitoring of the transformer vibration frequency affected by the DC component is achieved.
Patent Information
- Application Number
- CN202410758228.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-13
- Publication Date
- 2024-12-24
- Estimated Expiration
- 2044-06-13
AI Technical Summary
The prior art is difficult to ensure the effectiveness of transformer vibration signal monitoring data when the communication channel is limited and the data transmission volume of the whole frequency band is large, especially in the case of transformer vibration frequency monitoring under the influence of the DC component.
By collecting the vibration signals of the transformer, a matrix group is constructed to obtain the maximum amplitude of each frequency, and sorting it in descending order, filtering out the best monitoring frequency bands to ensure that the vibration signals of the transformer are effectively monitored with limited communication channels.
Effectively screen out the best monitoring frequency band to ensure that the vibration signals of the transformer can be effectively monitored when the communication channels are limited, and improve the quality and reliability of the monitoring data.
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Figure CN118518197B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of rail transit stray current monitoring, and more specifically, to a transformer vibration monitoring frequency screening method, monitoring method, equipment and medium. Background Art
[0002] The single-pole operation of ultra-high and extra-high voltage DC projects, urban rail transit operation, photovoltaic, wind power, DC distribution networks, etc. will all generate DC components. The DC components flow in urban pipe corridors, energy pipe corridors and power grids, and flow into transformers, causing DC magnetic bias in transformers and transformer vibration, which not only shortens the life of transformers and endangers the safety of large power grid operations, but also causes noise disturbances, leading to complaints from nearby residents and affecting the social image of power grid companies.
[0003] The Chinese invention patent "A transformer vibration monitoring method and device" with application number "202210100320.9" proposes a transformer vibration monitoring method and device, which first collects the transformer vibration signal under normal conditions, the three-phase current and voltage signals on the primary side of the transformer, and the current temperature data, and then combines the three-phase voltage, three-phase current, and temperature data at the same time into an input vector to form a training data set, and establishes a neural network fault diagnosis model. The model is trained using the above training data set to monitor the transformer, and the actual measured vibration signal is compared with the fitted vibration signal output by the fault diagnosis model to diagnose the transformer fault. However, this method does not involve the monitoring of transformer vibration affected by the DC component, nor does it involve how to optimize the frequency of the vibration.
[0004] The Chinese invention patent "Method for Extracting Spectral Distribution Feature Parameters of Transformer Vibration Signal" with application number "201510106259.9" proposes a method for extracting spectral distribution feature parameters of transformer vibration signal, including placing an acceleration sensor on the outer surface of the transformer shell, using an acquisition card to collect and record the transformer shell vibration signal, and performing power spectrum analysis on the vibration signal to obtain the power spectrum of the vibration signal. However, this method only involves the extraction of spectral distribution feature parameters of the vibration signal, and does not involve the problem of how to optimize the acquisition of vibration signals when the communication channel is limited. Summary of the invention
[0005] In response to at least one defect or improvement need in the prior art, the present application provides a transformer vibration monitoring frequency screening method, monitoring method, device and medium, which are used to at least solve the technical problem of how to ensure the validity of transformer vibration signal monitoring data when the communication channel is limited and the full-band data transmission volume is large.
[0006] To achieve the above objectives, in a first aspect, the present application provides a transformer vibration monitoring frequency screening method, comprising:
[0007] Collect vibration signals of transformers affected by DC components;
[0008] Extract the amplitude corresponding to each frequency in the frequency band to be monitored within a preset acquisition time length at several acquisition locations of the transformer in the vibration signal in the first and second operating states, obtain the maximum amplitude corresponding to each frequency, and construct the first and second row matrix groups;
[0009] Sort all amplitude elements in all row matrix units in the first and second row matrix groups in descending order, respectively, and take the non-repeating frequencies corresponding to the first and second number of amplitude elements, respectively, to jointly form an optimal monitoring frequency band;
[0010] The sum of the first number and the second number is the number of signal channels of the monitoring device.
[0011] Further, the extraction of the amplitude corresponding to each frequency in the frequency band to be monitored within the preset acquisition time when the plurality of acquisition locations of the transformer in the vibration signal are in the first and second operating states respectively comprises a formula:
[0012]
[0013] Where X represents the state combination, including the first collection position of the first operating state to the Fth collection position of the first operating state, and also including the first collection position of the second operating state to the Fth collection position of the second operating state; if the frequency value of the jth frequency at the tth second under the state combination is Xf t,j Indicates that after obtaining Xf t,j Then the corresponding amplitude X of the jth frequency in the tth second under the corresponding state combination can be obtained. t,j ; F represents the number of collection locations of the transformer; A represents the amplitude.
[0014] Furthermore, the obtaining of the maximum amplitude corresponding to each frequency and the construction of the first and second row matrix groups include the formula:
[0015] max(XA)=(max(X t,1 ),max(X t,2 ), …, max(X t,j ),…,max(X t,p ));
[0016] Among them, max(X t,j ) represents the maximum amplitude corresponding to all frequencies in the frequency band to be monitored within the preset acquisition time when the transformer is in the state combination X; max(XA) represents the maximum amplitude combination of the transformer in the state combination X, which is a row matrix;
[0017] The first row matrix group includes max(XA) when X takes the first acquisition position of the first operating state to the Fth acquisition position of the first operating state;
[0018] The second row matrix group includes max(XA) when X is from the first collection position in the second operating state to the Fth collection position in the second operating state.
[0019] Furthermore, the step of sorting all the amplitude elements in all the row matrix units in the first and second row matrix groups in descending order and taking the non-repeating frequencies corresponding to the first and second number of amplitude elements respectively specifically includes:
[0020] Sort all amplitude elements in all row matrix units of the first row matrix group in descending order according to amplitude, and take the non-repeating frequencies corresponding to the first number of amplitude elements to form a first frequency group;
[0021] Sort all amplitude elements in all row matrix units of the second row matrix group in descending order according to amplitude, and take the non-repeating frequencies corresponding to the first second number of amplitude elements to form a second frequency group;
[0022] The first frequency group and the second frequency group together constitute the optimal monitoring frequency band.
[0023] Further, the collecting of the vibration signal of the transformer affected by the DC component includes:
[0024] Grouping the frequency bands to be monitored according to the number of signal channels of the monitoring device;
[0025] The vibration signals of several collection positions of the transformer in each monitoring frequency band group in the first and second operating states are collected in sequence.
[0026] Furthermore, it also includes:
[0027] Compare the collected time T i and the preset collection time T, to determine whether the collection of the vibration signal of the current monitoring frequency band group is completed;
[0028] If T i <T, then continue to collect vibration signals, where 1≤i≤m, m is the number of groups for grouping the frequency band to be monitored; if T i =T, then determine whether the collection of all monitoring frequency band groups is completed;
[0029] If i<m, then collect the vibration signal of the next monitoring frequency band group; if i=m, then end the collection of the vibration signal of the frequency band to be monitored.
[0030] Further, the first operating state indicates a period during which the vehicle is in operation, and the second operating state indicates a period during which the vehicle is out of operation;
[0031] The plurality of collection locations of the transformer include one or more of a first collection location, a second collection location, a third collection location and a fourth collection location;
[0032] The first to fourth collection locations respectively represent the high voltage side of the transformer, the low voltage side of the transformer, the near grounding point side of the transformer and the far grounding point side of the transformer.
[0033] In a second aspect, the present application provides a transformer vibration monitoring method, which monitors the vibration signal of the transformer affected by the DC component based on the optimal monitoring frequency band screened out by any of the screening methods described above.
[0034] In a third aspect, the present application provides an electronic device comprising at least one processing unit and at least one storage unit, wherein the storage unit stores a computer program, and when the computer program is executed by the processing unit, the processing unit is enabled to perform the steps of any one of the above-mentioned methods.
[0035] In a fourth aspect, the present application provides a storage medium storing a computer program executable by an access authentication device, wherein when the computer program runs on the access authentication device, the access authentication device is enabled to perform the steps of any one of the above-mentioned methods.
[0036] In general, the above technical solutions conceived by the present application can achieve the following beneficial effects compared with the prior art:
[0037] The present application extracts the amplitude corresponding to each frequency in the frequency band to be monitored within a preset acquisition time length when several acquisition positions of the transformer in the vibration signal are in the first and second operating states, and statistics are performed to obtain the maximum amplitude corresponding to each frequency, and construct the first and second row matrix groups; then, all amplitude elements in all row matrix units in the first and second row matrix groups are sorted in descending order, and the non-repeating frequencies corresponding to the first and second numbers of amplitude elements are taken respectively, which together constitute the selected optimal monitoring frequency band, thereby solving the technical problem of how to ensure the validity of vibration signal monitoring data when the communication channel is limited and the data transmission volume of the full frequency band is large. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0039] Figure 1A core flow chart of a transformer vibration monitoring frequency screening method provided in an embodiment of the present application;
[0040] Figure 2 A flow chart of vibration signal acquisition provided in an embodiment of the present application;
[0041] Figure 3 A block diagram of an electronic device suitable for implementing the method described above provided in an embodiment of the present application. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.
[0043] The terms "first", "second" or "third" etc. in the specification, claims or the above-mentioned drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.
[0044] Frequency band and frequency are two different concepts, although they are often discussed together in wireless communication and electromagnetic wave theory. Frequency refers to the number of periodic changes completed per unit time. It is a quantity that describes the frequency of periodic motion. It is usually represented by the symbol f or ν, and the unit is Hertz (Hz). It is a point on the frequency band, indicating a specific vibration frequency of the electromagnetic wave.
[0045] A frequency band refers to a range of frequencies, that is, an artificially set range from one frequency to another. It can be understood by a line segment starting and ending at a certain point on a straight line coordinate or number axis. The concept of a frequency band expands the concept of frequency because it includes all frequencies within a specific range.
[0046] In short, frequency is a specific point in the frequency band, and the frequency band is a range consisting of a series of frequency points. In wireless communication, frequency determines the transmission band of wireless signals, and the frequency band provides the possibility of communication within this frequency range.
[0047] refer to Figure 1An embodiment of the present application discloses a transformer vibration monitoring frequency screening method, and the monitoring frequency screening method may include the following steps.
[0048] Step 1: Collect the vibration signal of the transformer affected by the DC component. Step 1 may specifically include the following sub-steps.
[0049] Step 11: group the frequency bands to be monitored according to the number of signal channels of the monitoring device. If the monitoring device has n signal channels, the frequency bands to be monitored are [f1, f2, ..., f j ,…,f p ] (unit: Hz), 1≤j≤p, p is the number of frequencies in the frequency band to be monitored, where the difference between two adjacent frequencies is set to 50Hz, and the frequency band to be monitored is grouped into m groups, where the first monitoring frequency band group (the monitoring frequency band group is the monitoring frequency band composed of several frequencies in a group after the frequencies in the frequency band to be monitored are grouped) is [f1,f2,…,f j ,…,f n ], each of the monitoring frequency band groups from the 1st to the m-1th includes n frequencies, and the number of frequencies in the nth monitoring frequency band group is (f p -100) / 50-m+2.
[0050] Step 12: The monitoring frequency band group to be collected and the preset collection time T are sent to the monitoring device remotely through the background software. The first monitoring frequency band group is sent first, in which data with a collection time of T are collected during the subway operation and the subway shutdown.
[0051] Step 13: After receiving the remote signal, the monitoring device collects data of vibration signals on four sides of the transformer, where the four sides of the transformer include the high voltage side of the transformer, the low voltage side of the transformer, the side close to the ground point of the transformer, and the side far from the ground point of the transformer.
[0052] Step 14: Reference Figure 2 , compared with the collected time T i and the preset collection time T sent remotely to determine whether the collection of the current monitoring frequency band group is completed. If T i <T, it indicates that the preset collection time T has not been reached, and vibration signals continue to be collected, where 1≤i≤m; if T i =T, it is determined whether the collection of all monitoring frequency band groups is completed. If i<m at this time, it indicates that the collection of all monitoring frequency band groups has not been completed, and the monitoring frequency band group to be sent is set as the next group, and the next group of monitoring frequency band groups and the preset collection time T are sent through the remote collection device; if i=m at this time, it indicates that the collection of all monitoring frequency band groups is completed, and the collection of transformer vibration signals is ended.
[0053] Step 2: extract the amplitude corresponding to each frequency in the monitored frequency band within the preset acquisition time length at several acquisition locations of the transformer in the vibration signal in the first and second operating states, obtain the maximum amplitude corresponding to each frequency, and construct the first and second row matrix groups.
[0054] Specifically, the vibration signal data of the four collection locations of the transformer, namely, the high voltage side, the low voltage side, the near grounding point side and the far grounding point side are as follows, which can be expressed as formula (1).
[0055] GZ t,j is the amplitude corresponding to the jth frequency at the tth second on the high-voltage side during subway operation;
[0056] DZ t,j is the amplitude corresponding to the jth frequency at the tth second on the low-voltage side during subway operation;
[0057] JZ t,j is the amplitude corresponding to the jth frequency at the tth second on the side close to the grounding point during subway operation;
[0058] YZ t,j It is the amplitude corresponding to the jth frequency at the tth second on the side far from the ground point during subway operation; the vibration monitoring data is one monitoring point per second;
[0059] TGZ t,j is the amplitude corresponding to the jth frequency at the tth second on the high-voltage side during the subway outage;
[0060] TDZ t,j is the amplitude corresponding to the jth frequency at the tth second on the low-voltage side during the subway outage;
[0061] TZ t,j is the amplitude corresponding to the jth frequency at the tth second on the side close to the grounding point during the subway outage;
[0062] TYZ t,j It is the amplitude corresponding to the jth frequency at the tth second on the side far from the ground point during the subway suspension period.
[0063] The vibration monitoring data is one monitoring point per second; where 1≤t≤T, 1≤j≤p.
[0064]
[0065] Where X represents the state combination, including the first collection position of the first operating state to the Fth collection position of the first operating state, and also including the first collection position of the second operating state to the Fth collection position of the second operating state; if the frequency value of the jth frequency at the tth second under the state combination is Xf t,j Indicates that after obtaining Xf t,j Then the corresponding amplitude X of the jth frequency in the tth second under the corresponding state combination can be obtained. t,j; F represents the number of collection locations of the transformer, and in this embodiment, F=4; A represents the amplitude.
[0066] The first operating state indicates the period during which the vehicle is in operation, specifically the period during which the subway is in operation in this embodiment; the second operating state indicates the period during which the vehicle is out of operation, specifically the period during which the subway is out of operation in this embodiment.
[0067] The plurality of collection locations of the transformer include one or more of a first collection location, a second collection location, a third collection location and a fourth collection location.
[0068] The first to fourth collection locations respectively represent the high voltage side of the transformer, the low voltage side of the transformer, the near grounding point side of the transformer, and the far grounding point side of the transformer.
[0069] For example, X=GZ is taken, that is, the state combination at this time is during subway operation+high voltage side of transformer. At this time, the amplitude matrix of the high voltage side of transformer during subway operation is as follows (2).
[0070]
[0071] Similarly, when X takes other state combinations, the corresponding amplitude matrices TGZA, TDZA, TJZA, TYZA, DZA, JZA and YZA can all refer to the amplitude matrix GZA to form amplitude matrices in the form of formula (1) or formula (2).
[0072] The data of the high voltage side, low voltage side, near grounding point side and far grounding point side of the transformer are processed as shown in formula (3) to obtain the maximum amplitude corresponding to each frequency and construct the first and second row matrix groups.
[0073] max(XA)=(max(X t,1 ),max(X t,2 ), …, max(X t,j ),…,max(X t,p )) (3)
[0074] Among them, max(X t,j ) represents the maximum amplitude of all frequencies in the monitored frequency band under the state combination X within the preset acquisition time T when the transformer is in the state combination X; max(XA) represents the maximum amplitude combination of the transformer under the state combination X, and max(XA) is a row matrix (1×Q-order matrix, that is, a matrix consisting of a single row of Q elements).
[0075] The first row of the matrix group includes max(XA) when X is GZ, DZ, JZ, and YZ respectively.
[0076] Similarly, the second row of matrix groups includes max(XA) when X takes TGZ, TDZ, TJZ and TYZ respectively.
[0077] For example, taking X=GZ, equation (3) can be transformed into the following equation (4).
[0078] max(GZA)=(max(GZ t,1 ),max(GZ t,2 ), …, max(GZ t,j ),…,max(GZ t,p )) (4)
[0079] Step 3: sort all the amplitude elements in all the row matrix units in the first and second row matrix groups in descending order, respectively, and take the non-repeating frequencies corresponding to the first and second number of amplitude elements, respectively, to jointly constitute the optimal monitoring frequency band; wherein the sum of the first number and the second number is the number of signal channels n of the monitoring device.
[0080] Specifically, all amplitude elements in all row matrix units in the first row matrix group are sorted in descending order according to amplitude, and non-repeating frequencies corresponding to the first number of amplitude elements are taken to form a first frequency group. More specifically, the following is described.
[0081] All amplitude elements in the row matrix units max(GZA), max(DZA), max(JZA) and max(YZA) are sorted in descending order according to the amplitude size, and the non-repeating frequencies corresponding to the first n-2 amplitudes are taken; after comprehensive descending sorting, the sequence of the following formula (5) is obtained.
[0082]
[0083] Since the first three amplitudes from top to bottom in formula (5) are the maximum amplitudes at frequency f2, the frequency after deduplication is:
[0084]
[0085] Similarly, all amplitude elements in the row matrix units max(TGZA), max(TDZA), max(TJZA) and max(TYZA) are sorted in descending order according to the amplitude, and the non-repeating frequencies corresponding to the first two amplitudes are taken.
[0086] By combining the analysis results of the train operation period and the outage period, n non-repetitive frequencies can be obtained, and these n frequencies constitute the optimal monitoring frequency band.
[0087] The technical solution and effects of the present application are described in detail with a more specific embodiment below:
[0088] Step A: monitor the vibration signal of the transformer by frequency bands. The collection device has 10 signal channels in total, and collects the vibration signal of the transformer by grouping and frequency bands.
[0089] Step B: Analyze the vibration signals of each frequency band according to the vibration signals obtained in step A, and count the maximum amplitude values of each monitoring frequency band group.
[0090] Step C: According to the analysis results obtained in step B, the results of each frequency band are comprehensively considered to determine the best monitoring frequency band. The data calculated in step B are sorted in descending order. During the operation of the subway, 8 best monitoring frequencies are determined: 200Hz, 250Hz, 300Hz, 350Hz, 400Hz, 450Hz, 500Hz and 550Hz; during the suspension of the subway, 2 best monitoring frequencies are determined: 100Hz and 150Hz. Therefore, the best monitoring frequency bands include 10 frequencies: 100Hz, 150Hz, 200Hz, 250Hz, 300Hz, 350Hz, 400Hz, 450Hz, 500Hz and 550Hz.
[0091] The present application extracts the amplitude corresponding to each frequency in the frequency band to be monitored within a preset acquisition time length when several acquisition positions of the transformer in the vibration signal are in the first and second operating states, and statistics are performed to obtain the maximum amplitude corresponding to each frequency, and construct the first and second row matrix groups; then, all amplitude elements in all row matrix units in the first and second row matrix groups are sorted in descending order, and the non-repeating frequencies corresponding to the first and second numbers of amplitude elements are taken respectively, which together constitute the selected optimal monitoring frequency band, thereby solving the technical problem of how to ensure the validity of vibration signal monitoring data when the communication channel is limited and the data transmission volume of the full frequency band is large.
[0092] Another embodiment of the present application provides a transformer vibration monitoring method. The monitoring method uses a monitoring device to monitor the vibration signal of the transformer affected by the DC component based on the optimal monitoring frequency band screened out by the aforementioned screening method, thereby solving the technical problem of how to ensure the validity of the vibration signal monitoring data when the communication channel is limited and the full-band data transmission volume is large, and realizing more effective monitoring of the vibration signal of the transformer affected by the DC component.
[0093] Figure 3 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present application is schematically shown. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.
[0094] like Figure 3As shown, the electronic device 1000 described in this embodiment includes: a processor 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage part 1008 into a random access memory (RAM) 1003. The processor 1001 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), and the like. The processor 1001 may also include an onboard memory for caching purposes. The processor 1001 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present application.
[0095] In RAM 1003, various programs and data required for the operation of system 1000 are stored. Processor 1001, ROM 1002 and RAM 1003 are connected to each other via bus 1004. Processor 1001 performs various operations of the method flow according to the embodiment of the present application by executing the program in ROM 1002 and / or RAM 1003. It should be noted that the program can also be stored in one or more memories other than ROM 1002 and RAM 1003. Processor 1001 can also perform various operations of the method flow according to the embodiment of the present application by executing the program stored in the one or more memories.
[0096] According to an embodiment of the present application, the electronic device 1000 may further include an input / output (I / O) interface 1005, which is also connected to the bus 1004. The system 1000 may further include one or more of the following components connected to the I / O interface 1005: an input part 1006 including a keyboard, a mouse, etc.; an output part 1007 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage part 1008 including a hard disk, etc.; and a communication part 1009 including a network interface card such as a LAN card, a modem, etc. The communication part 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to the I / O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1010 as needed, so that the computer program read therefrom is installed into the storage part 1008 as needed.
[0097] According to the method flow of the embodiment of the present application, it can be implemented as a computer software program. For example, the embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 1009, and / or installed from the removable medium 1011. When the computer program is executed by the processor 1001, the above-mentioned functions defined in the system of the embodiment of the present application are executed. According to the embodiment of the present application, the system, equipment, device, module and / or unit described above, etc. can be implemented by a computer program module.
[0098] The embodiments of the present application also provide a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiments of the present application is implemented.
[0099] According to an embodiment of the present application, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: 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), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In an embodiment of the present application, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus, or a device. For example, according to an embodiment of the present application, the computer-readable storage medium may include one or more memories other than the ROM 1002 and / or RAM 1003 described above.
[0100] It should be noted that the functional modules in the various embodiments of the present application can be integrated into a processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product.
[0101] The flowchart and / or block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flowchart and / or block diagram can represent a part of a module, program segment or code, and a part of the above-mentioned module, program segment or code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. It should also be noted that each box in the block diagram or flowchart, and the combination of the boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0102] Those skilled in the art will appreciate that the features described in the various embodiments and / or claims of the present application may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present application. In particular, without departing from the spirit and teachings of the present application, the technical features described in the various embodiments and / or claims of the present application may be combined and / or combined in a variety of ways, and all of these combinations and / or combinations fall within the scope of the present application.
[0103] Although the present application has been shown and described with reference to specific exemplary embodiments of the present application, it should be understood by those skilled in the art that various changes in form and details may be made to the present application without departing from the spirit and scope of the present application as defined by the appended claims and their equivalents. Therefore, the scope of the present application should not be limited to the above-mentioned embodiments, but should be determined not only by the appended claims, but also by the equivalents of the appended claims.
Claims
1. A transformer vibration monitoring frequency screening method, characterized in that: include: Collect vibration signals of transformers affected by DC components; Extracting the amplitude corresponding to each frequency in the frequency band to be monitored within a preset acquisition time length at several acquisition locations of the transformer in the vibration signal in the first operating state and the second operating state, obtaining the maximum amplitude corresponding to each frequency, and constructing the first row matrix group and the second row matrix group; specifically including: Wherein, X represents a state combination, including the first collection part of the first operating state to the Fth collection part of the first operating state, and also including the first collection part of the second operating state to the Fth collection part of the second operating state; after obtaining Xf t,j Then the corresponding amplitude X of the jth frequency at the tth second under the corresponding state combination can be obtained. t,j ; F represents the number of collection locations of the transformer; Xf t,j represents the frequency value of the jth frequency at the tth second under the state combination X; p represents the number of frequencies in the frequency band to be monitored, 1≤j≤p; XA represents the amplitude matrix of the transformer under the state combination X; T represents the total time, 1≤t≤T; Also includes: max(XA)=(max(X t,1 ),max(X t,2 ),…,max(X t,j ),…,max(X t,p )); Among them, max(X t,j ) represents the maximum amplitude corresponding to all frequencies in the frequency band to be monitored within the preset acquisition time when the transformer is in the state combination X; max(XA) represents the maximum amplitude combination of the transformer in the state combination X, which is a row matrix; The first row matrix group includes max(XA) when X takes the first acquisition position of the first operating state to the Fth acquisition position of the first operating state; The second row matrix group includes max(XA) when X takes the first acquisition position in the second operating state to the Fth acquisition position in the second operating state; Respectively sorting all the amplitude elements in all the row matrix units of the first row matrix group and the second row matrix group in descending order, taking the non-repeating frequencies corresponding to the first first number of amplitude elements in the first matrix group and the non-repeating frequencies corresponding to the first second number of amplitude elements in the second matrix group, and jointly forming the optimal monitoring frequency band; specifically comprising: Sort all amplitude elements in all row matrix units of the first row matrix group in descending order according to amplitude, and take the non-repeating frequencies corresponding to the first number of amplitude elements to form a first frequency group; Sort all amplitude elements in all row matrix units of the second row matrix group in descending order according to amplitude, and take the non-repeating frequencies corresponding to the first second number of amplitude elements to form a second frequency group; The first frequency group and the second frequency group together constitute the optimal monitoring frequency band; The sum of the first number and the second number is the number of signal channels of the monitoring device.
2. The screening method according to claim 1, characterized in that The collecting of the vibration signal of the transformer affected by the DC component comprises: Grouping the frequency bands to be monitored according to the number of signal channels of the monitoring device; The vibration signals of several collection positions of the transformer in each monitoring frequency band group in the first operating state and the second operating state are collected in sequence.
3. The screening method according to claim 2, characterized in that Also includes: Compare the collected time T i and the preset collection time T, to determine whether the collection of the vibration signal of the current monitoring frequency band group is completed; If T i <T, then continue to collect vibration signals, where 1≤i≤m, m is the number of groups for grouping the frequency band to be monitored; if T i =T, then determine whether the collection of all monitoring frequency band groups is completed; If i<m, then collect the vibration signal of the next monitoring frequency band group; if i=m, then end the collection of the vibration signal of the frequency band to be monitored.
4. The screening method according to any one of claims 1 to 3, characterized in that The first operating state indicates a period during which the vehicle is in operation, and the second operating state indicates a period during which the vehicle is not in operation; The plurality of collection locations of the transformer include one or more of a first collection location, a second collection location, a third collection location and a fourth collection location; The first to fourth collection locations respectively represent the high voltage side of the transformer, the low voltage side of the transformer, the near grounding point side of the transformer, and the far grounding point side of the transformer.
5. A transformer vibration monitoring method, characterized in that: Based on the optimal monitoring frequency band selected by the screening method according to any one of claims 1 to 4, the vibration signal of the transformer affected by the DC component is monitored.
6. An electronic device, characterized in that: The method comprises at least one processing unit and at least one storage unit, wherein the storage unit stores a computer program, and when the computer program is executed by the processing unit, the processing unit is enabled to perform the steps of the method according to any one of claims 1 to 4.
7. A storage medium, characterized in that: It stores a computer program executable by an access authentication device. When the computer program runs on the access authentication device, the access authentication device can execute the steps of the method according to any one of claims 1 to 4.