Transformer winding deformation detection method, system and medium based on scanning imaging

Abstract

The embodiments of the present invention relate to the technical field of transformer state detection, and disclose a transformer winding deformation detection method, system and medium based on scanning imaging. The method includes: setting a transmission interval according to the center distance between each turn of the transformer winding, and collecting the pulse signal reflected by each turn of the transformer winding according to the transmission interval; time-aligning the pulse signal reflected by each turn of the winding to obtain a focus energy matrix; converting the focus energy matrix into a coordinate position representation to draw a two-dimensional image of the winding; extracting strip pixels representing the transformer winding based on the comparison between each pixel point in the two-dimensional winding image and a threshold; and intuitively and accurately detecting the axial deformation of the transformer winding based on the coordinate position representation of the strip pixels.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer state detection, and in particular to a transformer winding deformation detection method, system and medium based on scanning imaging. Background Art

[0002] Transformers are crucial components of power systems, responsible for the transmission and distribution of electrical energy. One of the primary transformer faults is mechanical winding failure. Currently, mainstream methods for assessing winding mechanical condition include the short-circuit impedance method, the vibration frequency response method, and the vibration detection method. However, these methods all indirectly reflect the mechanical condition of the windings by using the transformer's electrical and mechanical parameters, and cannot directly determine the winding's condition. Furthermore, the short-circuit impedance method only works when the transformer is shut down and is incompatible between different models, making it impossible to establish a unified standard to pinpoint the source of the fault. Detection of minor winding deformations, such as loose winding spacers or reduced preload, is ineffective. The vibration frequency response method is more sensitive for detecting severe deformation in transformer windings, but is less effective for minor deformations. The vibration detection method can be more complex for certain transformer types, such as large power transformers, due to the complex vibration characteristics that require more sophisticated analysis and processing. Summary of the Invention

[0003] Based on this, it is necessary to address the above problems and propose a transformer winding deformation detection method, system and medium based on scanning imaging.

[0004] A method for detecting transformer winding deformation based on scanning imaging, the method comprising:

[0005] The transmission interval is set according to the center distance between each turn of the transformer winding, and the pulse signal reflected by each turn of the transformer winding is collected according to the transmission interval.

[0006] The pulse signal reflected by each winding turn is time-aligned to obtain a focus energy matrix.

[0007] The focus energy matrix is converted into a coordinate position representation, and a two-dimensional image of the winding is drawn.

[0008] According to the comparison between each pixel point in the winding two-dimensional image and the threshold, strip-shaped pixels representing the transformer winding are extracted.

[0009] The axial deformation of the transformer winding is detected according to the coordinate position representation of the strip-shaped pixels.

[0010] The step of setting a transmission interval according to the center distance between each winding of the transformer and collecting the pulse signal reflected by each winding of the transformer according to the transmission interval specifically includes:

[0011] Determine the center distance between each turn of the transformer winding.

[0012] The transmission interval of the transmission pulse signal is set to be less than or equal to 1 / n of the center distance between each turn of the winding, where n is the number of measurement points on each turn of the winding.

[0013] The pulse signal reflected by each turn of the transformer winding is collected according to the transmission interval.

[0014] The step of time-aligning the pulse signal reflected by each winding turn to obtain a focus energy matrix specifically includes:

[0015] The time-shift model is determined according to the transformer winding position.

[0016] The time of the pulse signal reflected by each winding turn and the time of the pulse signal received by each winding turn are determined according to the time shift model, and the pulse signal reflected by each winding turn is time-aligned.

[0017] The time-aligned pulse signals are summed to determine a focus energy matrix.

[0018] The step of determining the time-shift model according to the transformer winding position specifically includes:

[0019] The time-shift model is:

[0020] ;

[0021] in, is the time delay of the pulse signal reflected by each turn of the winding, || || is the Euclidean norm, c is the approximate speed of microwave propagation in vacuum, usually the speed of light, ∆t is the signal sampling interval, is the position of the signal generator that transmits the pulse signal, is the position of the signal receiver that receives the pulse signal, is the winding position of the reflected pulse signal.

[0022] The step of summing the time-aligned pulse signals to determine a focus energy matrix specifically includes:

[0023] The focus energy matrix is:

[0024] ;

[0025] in, is the i-th pulse signal, is the time delay of the pulse signal reflected by each turn of the aligned winding, M is the total number of measurement points, and L is the moving distance in one scanning cycle.

[0026] The step of extracting strip pixels representing the transformer winding based on the comparison between each pixel point in the winding two-dimensional image and the threshold value specifically includes:

[0027] Determine whether a current pixel in the winding two-dimensional image is greater than a threshold.

[0028] It is determined that a current pixel point in the winding two-dimensional image is greater than the threshold value, and the pixel point is a strip pixel representing the transformer winding.

[0029] It is determined that the current pixel point in the winding two-dimensional image is less than or equal to the threshold value, and the pixel point is a background pixel.

[0030] The detecting of the axial deformation of the transformer winding according to the coordinate position representation of the strip-shaped pixels specifically includes:

[0031] According to the coordinate position representation of the strip-shaped pixels, the maximum vertical coordinate value and the minimum vertical coordinate value of each strip of the transformer are determined, and each strip corresponds to each turn of the winding.

[0032] The ordinate value of the center point of each strip is determined according to the maximum ordinate value and the minimum ordinate value of each strip.

[0033] According to the comparison between the change value of the vertical coordinate value of the center point of each strip and the preset alarm value, the axial deformation of the winding turn corresponding to the strip is detected.

[0034] The detecting of the axial deformation of a winding turn corresponding to each strip according to the comparison between the change value of the ordinate value of the center point of each strip and the preset alarm value specifically includes:

[0035] Determine whether the change in the vertical coordinate value of the center point of each strip is greater than a preset alarm value.

[0036] If the change in the vertical coordinate value of the center point of each strip is greater than the preset alarm value, then the winding turn corresponding to the strip undergoes axial deformation.

[0037] If the change value of the vertical coordinate value of the center point of each strip is less than or equal to the preset alarm value, the one-turn winding corresponding to the strip does not undergo axial deformation.

[0038] A transformer winding deformation detection system based on scanning imaging, the system comprising:

[0039] The pulse signal acquisition module is used to set the transmission interval according to the center distance between each turn of the transformer winding, and collect the pulse signal reflected by each turn of the transformer winding according to the transmission interval.

[0040] The focus energy matrix acquisition module is used to time-align the pulse signal reflected by each turn of the winding to obtain the focus energy matrix.

[0041] The winding two-dimensional image drawing module is used to convert the focus energy matrix into a coordinate position representation and draw a winding two-dimensional image.

[0042] The strip pixel extraction module is used to extract the strip pixels representing the transformer winding according to the comparison between each pixel point in the winding two-dimensional image and the threshold.

[0043] The axial deformation detection module is used to detect the axial deformation of the transformer winding according to the coordinate position representation of the strip-shaped pixels.

[0044] A computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the steps of the above method.

[0045] The embodiments of the present invention have the following beneficial effects:

[0046] The present invention sets the transmission interval based on the center distance between each turn of the transformer winding, and collects the pulse signal reflected by each turn of the transformer winding according to the precisely set transmission interval, ensuring that each turn of the winding can be clearly imaged, improving the imaging resolution, and avoiding missed detection or repeated detection. Furthermore, the pulse signal reflected by each turn of the winding is time-aligned to eliminate errors caused by differences in signal propagation time, and a focal energy matrix is obtained. The focal energy matrix is used to intuitively reflect the energy distribution of each turn of the winding. The focal energy matrix is then converted into a coordinate position representation to draw a two-dimensional image of the winding, which can clearly reflect the shape, structure, and distribution of the winding. Furthermore, by setting a threshold, the winding area and non-winding area in the two-dimensional winding image can be effectively distinguished, thereby extracting the strip pixels that represent the transformer winding. Based on the coordinate position representation of the strip pixels, the axial deformation of the transformer winding can be intuitively and accurately detected. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] in:

[0049] Figure 1 A schematic flow chart of an embodiment of a transformer winding deformation detection method based on scanning imaging provided by the present invention;

[0050] Figure 2 A two-dimensional image of the winding provided by the present invention;

[0051] Figure 3 A schematic flow chart of another embodiment of a transformer winding deformation detection method based on scanning imaging provided by the present invention;

[0052] Figure 4 A schematic structural diagram of an embodiment of a transformer winding deformation detection system based on scanning imaging provided by the present invention;

[0053] Figure 5 This is a schematic structural diagram of an embodiment of the medium provided by the present invention. DETAILED DESCRIPTION

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0055] like Figure 1 As shown, Figure 1 A schematic diagram of a flow chart of an embodiment of a transformer winding deformation detection method based on scanning imaging provided by the present invention. A transformer winding deformation detection method based on scanning imaging, the method comprising:

[0056] S101: Setting a transmission interval according to the center distance between each turn of the transformer winding, and collecting a pulse signal reflected by each turn of the transformer winding according to the transmission interval.

[0057] Exemplarily, the center distance between each turn of the transformer winding is determined, and the transmission interval of the transmitted pulse signal is set to be less than or equal to 1 / n of the center distance between each turn of the winding, where n is the number of measurement points on each turn of the winding, and the pulse signal reflected by each turn of the transformer winding is collected according to the transmission interval.

[0058] S102: Time-align the pulse signal reflected by each winding turn to obtain a focus energy matrix.

[0059] Exemplarily, a time-shift model is determined according to the position of the transformer winding; the time of the pulse signal reflected by each turn of the winding and the pulse signal received by each turn of the winding are determined according to the time-shift model, and the pulse signal reflected by each turn of the winding is time-aligned, and the reflected signal of each focus is marked by time alignment to distinguish the reflected pulse signal located between the focuses; the pulse signals after time alignment are summed to determine the focus energy matrix.

[0060] S103: Convert the focus energy matrix into a coordinate position representation and draw a two-dimensional image of the winding.

[0061] For example, in combination Figure 2 , Figure 2 In the two-dimensional winding image provided by the present invention, each focal point energy in the focal energy matrix is represented by a focal vector, which is converted into x- and z-axis coordinate positions. The x-axis is coplanar with the signal generator and signal receiver and is used to represent the magnitude of the reflected signal at different positions within a winding turn. The z-axis is aligned with the scanning direction and is the longitudinal direction of the entire coil, representing the magnitude of the reflected signal at different turns within the entire winding. A two-dimensional winding image based on the focal energy matrix can be drawn, using the x- and z-axis coordinates of each focal point within the focal energy matrix as the horizontal and vertical axes of the two-dimensional image, and the focal point energy magnitude as the pixel value representing the image.

[0062] S104: extracting strip-shaped pixels representing the transformer winding based on the comparison between each pixel point in the winding two-dimensional image and the threshold.

[0063] For example, referring to Figure 2 , determine whether the current pixel point in the winding two-dimensional image is greater than the threshold; if it is determined that the current pixel point in the winding two-dimensional image is greater than the threshold, then the pixel point is a strip pixel representing the transformer winding; if it is determined that the current pixel point in the winding two-dimensional image is less than or equal to the threshold, then the pixel point is a background pixel.

[0064] S105: Detecting the axial deformation of the transformer winding according to the coordinate position representation of the strip-shaped pixels.

[0065] Exemplarily, based on the coordinate position representation of the strip-shaped pixels, the maximum and minimum ordinate values of each strip of the transformer are determined, and each strip corresponds to each turn of the winding; the ordinate value of the center point of each strip is determined based on the maximum and minimum ordinate values of each strip; it is determined whether the change value of the ordinate value of the center point of each strip is greater than a preset alarm value; if the change value of the ordinate value of the center point of each strip is greater than the preset alarm value, then the one-turn winding corresponding to the strip undergoes axial deformation; if the change value of the ordinate value of the center point of each strip is less than or equal to the preset alarm value, then the one-turn winding corresponding to the strip does not undergo axial deformation.

[0066] As can be seen from the above description, the present invention sets the transmission interval based on the center distance between each turn of the transformer winding. The pulse signal reflected by each turn of the transformer winding is collected according to the precisely set transmission interval, ensuring that each turn of the winding can be clearly imaged, improving the imaging resolution, and avoiding missed detection or repeated detection. Furthermore, the pulse signal reflected by each turn of the winding is time-aligned to eliminate errors caused by differences in signal propagation time, and a focal energy matrix is obtained. The focal energy matrix is used to intuitively reflect the energy distribution of each turn of the winding. The focal energy matrix is then converted into a coordinate position representation to draw a two-dimensional image of the winding, which can clearly reflect the shape, structure, and distribution of the winding. Furthermore, by setting a threshold, the winding area and non-winding area in the two-dimensional winding image can be effectively distinguished, thereby extracting the strip-shaped pixels that represent the transformer winding. Based on the coordinate position representation of the strip-shaped pixels, the axial deformation of the transformer winding can be intuitively and accurately detected.

[0067] like Figure 3 As shown, Figure 3 A schematic flow chart of another embodiment of a transformer winding deformation detection method based on scanning imaging provided by the present invention. A transformer winding deformation detection method based on scanning imaging, the method comprising:

[0068] S201: Determine the center distance between each turn of the transformer winding.

[0069] S202: Setting the transmission interval of the transmission pulse signal to be less than or equal to 1 / n of the center distance between each turn of the winding, where n is the number of measurement points on each turn of the winding.

[0070] S203: Collect the pulse signal reflected by each turn of the transformer winding according to the transmission interval.

[0071] For example, a signal generator and a signal receiver are mounted on a horizontal support that moves along a guide rail. As the support moves along the guide rail, the signal generator emits a pulse signal at a constant frequency. When the pulse signal reaches each winding turn, a small portion of its energy is reflected back to the signal receiver, which then receives a pulse signal with a delay proportional to the distance between the transmitter, the target, and the receiver. Therefore, the presence of a target can be detected at a specific distance. As the support moves along the guide rail, it scans each turn of the transformer winding.

[0072] Specifically, the signal generator and receiver, along with the horizontal support, move along the guide rail, emitting a pulse signal each time they move a certain distance. First, the center-to-center distance between each transformer winding is determined. The transmission interval is set accordingly, with the transmission pulse interval set to be less than or equal to 1 / n of the center-to-center distance between each winding, where n is the number of points measured on each winding turn and should be greater than or equal to 4. This ensures that each winding turn can be clearly imaged, improving imaging resolution. The bandwidth of the transmitted pulse is the same as the distance interval between the transmitted pulse signals.

[0073] S204: Determine a time-shift model according to the transformer winding position.

[0074] S205: Determine the time of the pulse signal reflected by each winding turn and the pulse signal received by each winding turn according to the time shift model, and perform time alignment on the pulse signal reflected by each winding turn.

[0075] For example, the pulse signal reflected by each winding turn has a different time delay and a different path to the focal point of each winding turn. Therefore, the collected pulse signal reflected by each winding turn must be time-aligned relative to each focal point. The time shift model is determined according to the position of the transformer winding, and the time shift model is:

[0076] ;

[0077] in, is the time delay of the pulse signal reflected by each turn of the winding, || || is the Euclidean norm, c is the approximate speed of microwave propagation in vacuum, usually the speed of light, ∆t is the signal sampling interval, is the position of the signal generator that transmits the pulse signal, is the position of the signal receiver that receives the pulse signal, is the winding position of the reflected pulse signal.

[0078] S206: Sum the time-aligned pulse signals to determine a focus energy matrix.

[0079] Exemplarily, the focus energy matrix is:

[0080] ;

[0081] in, is the i-th pulse signal, is the time delay of the pulse signal reflected by each turn of the winding after alignment, M is the total number of measurement points, and L is the moving distance of one scanning cycle. Focus Energy Matrix.

[0082] S207: Convert the focus energy matrix into a coordinate position representation and draw a two-dimensional image of the winding.

[0083] For example, each focal energy in the focal energy matrix is represented by a focal vector, which is converted into the coordinate position of the x-axis and the z-axis:

[0084] ;

[0085] Among them, x is the horizontal axis and z is the vertical axis. is the focus energy matrix, For the focus energy.

[0086] Furthermore, the focus energy size is used as the pixel value to characterize the image, and a two-dimensional image of the winding based on the focus capability matrix is drawn.

[0087] S208: Determine whether the current pixel in the winding two-dimensional image is greater than a threshold.

[0088] For example, in addition to the transformer windings, the signal receiver also receives reflected signals from the transformer box walls and other accessories. These signals represent background noise. To ensure that the scanned 2D winding image clearly depicts the winding stripes, a threshold is set. A determination is then made as to whether the current pixel in the 2D winding image is greater than the threshold.

[0089] S2081: Determine whether a current pixel in the winding two-dimensional image is greater than a threshold, and then the pixel is a strip pixel representing the transformer winding.

[0090] S2082: Determine whether the current pixel in the winding two-dimensional image is less than or equal to a threshold, and then the pixel is a background pixel.

[0091] Exemplarily, if the current pixel point in the winding two-dimensional image is determined to be greater than a threshold, then the pixel point is a strip pixel representing the transformer winding; if the current pixel point in the winding two-dimensional image is determined to be less than or equal to the threshold, then the pixel point is a background pixel.

[0092] S209: Determine the maximum vertical coordinate value and the minimum vertical coordinate value of each strip of the transformer according to the coordinate position representation of the strip-shaped pixels, where each strip corresponds to each turn of the winding.

[0093] For example, after strip extraction is completed in the winding two-dimensional image, the pixel values of the transformer strips are unified, and the maximum and minimum ordinate values of each strip are determined. Each strip corresponds to each turn of the coil.

[0094] S210: Determine the ordinate value of the center point of each strip according to the maximum ordinate value and the minimum ordinate value of each strip.

[0095] For example, the ordinate value of the center point of each strip is determined according to the maximum ordinate value and the minimum ordinate value of each strip:

[0096] Zi = (Zmax + Zmin) / 2

[0097] Among them, Zi is the vertical coordinate value of the center point of the strip, Zmax is the maximum vertical coordinate value, and Zmin is the minimum vertical coordinate value.

[0098] S211: Determine whether the change in the vertical coordinate value of the center point of each strip is greater than a preset alarm value.

[0099] For example, the change in the vertical coordinate value of the center point of each strip is determined according to the following formula:

[0100] △Z=│Zi+1-Zi│ / Zi;

[0101] Wherein, △Z is the change value of the vertical coordinate value of the center point of each strip, and Zi is the vertical coordinate value of the center point of each strip.

[0102] S2111: If the change in the vertical coordinate value of the center point of each strip is greater than a preset alarm value, then the winding turn corresponding to the strip undergoes axial deformation.

[0103] S2112: If the change in the vertical coordinate value of the center point of each strip is less than or equal to the preset alarm value, then the one-turn winding corresponding to the strip has not undergone axial deformation.

[0104] For example, a determination is made as to whether the change in the vertical coordinate value of the center point of each strip is greater than a preset warning value. If the change in the vertical coordinate value of the center point of each strip is greater than the preset warning value (5%), then the corresponding one-turn coil of the strip has experienced axial deformation. If the change in the vertical coordinate value of the center point of each strip is less than or equal to the preset warning value (5%), then the corresponding one-turn coil of the strip has not experienced axial deformation.

[0105] like Figure 4 As shown, Figure 4 This is a schematic diagram of the structure of an embodiment of a transformer winding deformation detection system based on scanning imaging provided by the present invention. A transformer winding deformation detection system based on scanning imaging, the system includes:

[0106] The pulse signal acquisition module 11 is used to set a transmission interval according to the center distance between each turn of the transformer winding, and to acquire the pulse signal reflected by each turn of the transformer winding according to the transmission interval.

[0107] The focus energy matrix acquisition module 12 is used to time-align the pulse signal reflected by each turn of the winding to obtain the focus energy matrix.

[0108] The winding two-dimensional image drawing module 13 is used to convert the focus energy matrix into a coordinate position representation and draw a winding two-dimensional image.

[0109] The strip pixel extraction module 14 is used to extract the strip pixels representing the transformer winding according to the comparison between each pixel point in the winding two-dimensional image and the threshold.

[0110] The axial deformation detection module 15 is used to detect the axial deformation of the transformer winding according to the coordinate position representation of the strip-shaped pixels.

[0111] For example, in the pulse signal acquisition module 11, the center distance between each winding of the transformer is determined; the transmission interval of the transmitted pulse signal is set to be less than or equal to 1 / n of the center distance between each winding, where n is the number of measurement points on each winding; and the pulse signal reflected from each winding of the transformer is collected according to the transmission interval. In the focus energy matrix acquisition module 12, a time shift model is determined based on the position of the transformer winding.

[0112] The time-shift model determines the time between the pulse signal reflected by each winding turn and the pulse signal received by each winding turn, and the pulse signals reflected by each winding turn are time-aligned. The time-aligned pulse signals are summed to determine the focal energy matrix. In the winding 2D image rendering module 13, the focal energy matrix is converted into a coordinate position representation, and a 2D winding image is rendered. In the strip pixel extraction module 14, it is determined whether the current pixel in the winding 2D image is greater than a threshold. If the current pixel in the winding 2D image is greater than the threshold, the pixel is a strip pixel representing the transformer winding. If the current pixel in the winding 2D image is less than or equal to the threshold, the pixel is a background pixel. In the axial deformation detection module 15, the maximum and minimum ordinate values of each strip of the transformer are determined based on the coordinate position representation of the strip-shaped pixels, and each strip corresponds to each turn of the winding; the ordinate value of the center point of each strip is determined based on the maximum and minimum ordinate values of each strip; and the axial deformation of a turn of the winding corresponding to the strip is detected based on the comparison of the change value of the ordinate value of the center point of each strip with the preset alarm value.

[0113] like Figure 5 As shown, Figure 5 The structure diagram of an embodiment of the medium provided by the present invention. The medium 20 stores at least one computer program 21, which is executed by the processor to implement the following Figure 1 and Figure 3 In one embodiment, the medium 20 may be a memory chip, a hard disk, a mobile hard disk, a USB flash drive, an optical disk, or other readable and writable storage tools, or a server.

[0114] The foregoing description of specific embodiments of the present disclosure is intended to illustrate a method for performing a multi-tasking process. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer-readable storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0116] The apparatus, device, non-volatile computer-readable storage medium and method provided in the embodiments of this specification correspond to each other. Therefore, the apparatus, device, and non-volatile computer storage medium also have similar beneficial technical effects as the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the corresponding apparatus, device, and non-volatile computer storage medium will not be repeated here.

[0117] The systems, devices, modules, or units described in the above embodiments may be implemented by computer chips or entities, or by products having certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0118] For the convenience of description, when describing the above device, various units are divided into functions and described separately. Of course, when implementing this specification, the functions of each unit can be implemented in the same one or more software and / or hardware. It should be understood by those skilled in the art that this specification embodiment can be provided as a method, system, or computer program product. Therefore, this specification embodiment can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this specification embodiment can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0119] 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.

[0120] The various embodiments in this specification are described in a progressive manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiments are generally similar to the method embodiments, so the description is relatively simple. For relevant parts, refer to the description of the method embodiments.

[0121] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A transformer winding deformation detection method based on scanning imaging, characterized in that: The method comprises: Setting a transmission interval according to the center distance between each turn of the transformer winding, and collecting the pulse signal reflected by each turn of the transformer winding according to the transmission interval; Determine a time-shift model according to the position of the transformer winding; determine the time of the pulse signal reflected by each winding turn and the pulse signal received by each winding turn according to the time-shift model, and time-align the pulse signal reflected by each winding turn; sum the time-aligned pulse signals to determine a focal energy matrix; The focus energy matrix is converted into a coordinate position representation to draw a two-dimensional image of the winding, wherein the converting the focus energy matrix into a coordinate position representation to draw the two-dimensional image of the winding specifically includes: using the coordinates of each focus in the focus energy matrix on the x-axis and the z-axis as the horizontal and vertical coordinate axes of the two-dimensional image, and the focus energy size as the pixel value representing the image, so as to draw the two-dimensional image of the winding based on the focus energy matrix; Extracting strip-shaped pixels representing the transformer winding based on a comparison between each pixel point in the winding two-dimensional image and a threshold value; The axial deformation of the transformer winding is detected according to the coordinate position representation of the strip-shaped pixels.

2. The method for detecting transformer winding deformation based on scanning imaging according to claim 1, characterized in that: The step of setting a transmission interval according to the center distance between each winding of the transformer and collecting the pulse signal reflected by each winding of the transformer according to the transmission interval specifically includes: Determine the center distance between each turn of the transformer winding; Setting the transmission interval of the transmission pulse signal to be less than or equal to 1 / n of the center distance between each turn of the winding, where n is the number of measurement points on each turn of the winding; The pulse signal reflected by each turn of the transformer winding is collected according to the transmission interval.

3. The method for detecting transformer winding deformation based on scanning imaging according to claim 1, characterized in that: Determining the time-shift model according to the transformer winding position specifically includes: The time-shift model is: ； in, is the time delay of the pulse signal reflected by each turn of the winding, || || is the Euclidean norm, c is the speed of light, ∆t is the signal sampling interval, is the position of the signal generator that transmits the pulse signal, is the position of the signal receiver that receives the pulse signal, is the winding position of the reflected pulse signal.

4. The method for detecting transformer winding deformation based on scanning imaging according to claim 3, characterized in that: The step of summing the time-aligned pulse signals to determine a focus energy matrix specifically includes: The focus energy matrix is: ； in, is the i-th pulse signal, is the time delay of the pulse signal reflected by each turn of the aligned winding, M is the total number of measurement points, and L is the moving distance in one scanning cycle.

5. The method for detecting transformer winding deformation based on scanning imaging according to claim 1, characterized in that: The step of extracting strip pixels representing the transformer winding based on a comparison between each pixel point in the winding two-dimensional image and a threshold value specifically includes: Determining whether a current pixel in the winding two-dimensional image is greater than a threshold; Determining that a current pixel point in the winding two-dimensional image is greater than the threshold value, then the pixel point is a strip pixel representing the transformer winding; It is determined that the current pixel point in the winding two-dimensional image is less than or equal to the threshold value, and the pixel point is a background pixel.

6. The method for detecting transformer winding deformation based on scanning imaging according to claim 5, characterized in that: Detecting the axial deformation of the transformer winding according to the coordinate position representation of the strip-shaped pixels specifically includes: Determine the maximum ordinate value and the minimum ordinate value of each strip of the transformer according to the coordinate position representation of the strip-shaped pixels, each strip corresponding to each turn of the winding; Determine the ordinate value of the center point of each strip according to the maximum ordinate value and the minimum ordinate value of each strip; According to the comparison between the change value of the vertical coordinate value of the center point of each strip and the preset alarm value, the axial deformation of the winding turn corresponding to the strip is detected.

7. The method for detecting transformer winding deformation based on scanning imaging according to claim 6, characterized in that: The detecting, based on the comparison between the change value of the ordinate value of the center point of each strip and the preset alarm value, the axial deformation of a turn of the winding corresponding to the strip specifically includes: Determine whether a change in the vertical coordinate value of the center point of each strip is greater than a preset alarm value; If the change in the vertical coordinate value of the center point of each strip is greater than the preset alarm value, the winding turn corresponding to the strip undergoes axial deformation; If the change value of the vertical coordinate value of the center point of each strip is less than or equal to the preset alarm value, the one-turn winding corresponding to the strip does not undergo axial deformation.

8. A transformer winding deformation detection system based on scanning imaging, characterized in that: The system comprises: A pulse signal acquisition module is used to set a transmission interval according to the center distance between each turn of the transformer winding, and collect the pulse signal reflected by each turn of the transformer winding according to the transmission interval; A focus energy matrix acquisition module is configured to determine a time-shift model based on the position of the transformer winding; determine the time of the pulse signal reflected by each winding turn and the pulse signal received by each winding turn based on the time-shift model, and time-align the pulse signal reflected by each winding turn; and sum the time-aligned pulse signals to determine a focus energy matrix; A winding two-dimensional image drawing module is used to convert the focus energy matrix into a coordinate position representation and draw a winding two-dimensional image, wherein the converting of the focus energy matrix into a coordinate position representation and drawing the winding two-dimensional image specifically includes: using the coordinates of each focus in the focus energy matrix on the x-axis and the z-axis as the horizontal and vertical coordinate axes of the two-dimensional image, and the focus energy size as the pixel value representing the image, so as to draw a winding two-dimensional image based on the focus energy matrix; a strip pixel extraction module, configured to extract strip pixels representing the transformer windings based on a comparison between each pixel point in the winding two-dimensional image and a threshold; The axial deformation detection module is used to detect the axial deformation of the transformer winding according to the coordinate position representation of the strip-shaped pixels.

9. A computer-readable storage medium, characterized in that A computer program is stored, and when the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

Images