Power equipment modeling method and device, computer device and storage medium

Abstract

The application relates to a power equipment modeling method and device, computer equipment and a storage medium, the method comprising: acquiring an original temperature image and a vibration displacement distribution image under an actual load; performing color expansion on the original temperature image and vibration displacement amplification processing on the vibration displacement distribution image; and rendering a power equipment reference model according to the original temperature image after color expansion and the vibration displacement distribution image after amplification, to obtain an equipment twin model of the power equipment under the actual load. According to the power equipment reference model corresponding to the actual load, the original temperature image and the vibration displacement distribution image under the actual load are acquired, and the original temperature image and the vibration displacement distribution image after enhancement processing are used to render the power equipment reference model, so that temperature monitoring of the power equipment and vibration displacement monitoring of the power equipment are realized.

Description

Technical Field

[0001] This application relates to the field of power system technology, and in particular to a power equipment modeling method, apparatus, computer equipment, and storage medium. Background Technology

[0002] Electrical equipment is an important component of the power system, playing a vital role in power supply, transmission, and transformation.

[0003] Most electrical equipment generates heat and vibrates during operation, which can have adverse effects on the equipment itself. For example, dry-type reactors generate heat and vibrate during operation, which can negatively affect the insulation of their windings. Excessive temperature and vibration can cause insulation damage to dry-type reactors, which can seriously affect the power quality of the power grid and the safety and stability of the system.

[0004] Current monitoring technologies for such power equipment are mostly focused on temperature. However, the vibration of power equipment during operation also poses a threat to the equipment itself. There is currently a lack of modeling methods that can simultaneously monitor the temperature and vibration of power equipment. Summary of the Invention

[0005] Therefore, it is necessary to provide a power equipment modeling method, device, computer equipment, and storage medium that can comprehensively regulate the power system, addressing the aforementioned technical problems.

[0006] Firstly, this application provides a method for modeling power equipment. The method includes:

[0007] Based on the actual load of the power equipment and the reference model of the power equipment corresponding to the actual load, the original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained.

[0008] The original temperature image is color-enhanced to obtain an enhanced temperature image.

[0009] The vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image;

[0010] Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0011] In one embodiment, color augmentation is performed on the original temperature image to obtain an augmented temperature image, including:

[0012] The original temperature image is decomposed into three color channel matrices;

[0013] Determine if there is a color channel matrix in the three color channel matrices where the pixel value changes abruptly; if there is a target pixel in the color channel matrix where the pixel value changes abruptly, the pixel difference between the target pixel and its adjacent pixels is greater than or equal to a pixel threshold.

[0014] If it exists, then color augmentation is performed on the three color channel matrices, and based on the augmented three color channel matrices, the operation of determining whether there is a color channel matrix with a sudden change in pixel value is returned, until there is no color channel matrix with a sudden change in pixel value in the three color channel matrices;

[0015] The three color channel matrices that do not have abrupt changes in pixel values ​​are merged to obtain an expanded temperature image.

[0016] In one embodiment, the vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image, including:

[0017] Determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold;

[0018] If the vibration exceeds a preset threshold, the local vibration displacement is magnified to obtain a magnified distribution image of the vibration displacement.

[0019] In one embodiment, the method further includes:

[0020] Acquire temperature and electromagnetic field distribution data of power equipment under different reference loads;

[0021] Based on the temperature distribution data and electromagnetic field distribution data under different reference loads, determine the vibration displacement distribution data of the power equipment under different reference loads;

[0022] Based on temperature distribution data under different reference loads, vibration displacement distribution data under different reference loads, and a pre-built physical model of the power equipment, a reference model of the power equipment under different reference loads is constructed.

[0023] From the power equipment reference models under different reference loads, determine the power equipment reference model corresponding to the actual load.

[0024] In one embodiment, acquiring temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads includes:

[0025] Based on the pre-built physical model of the power equipment, a data calculation model is constructed;

[0026] Acquire operating data of power equipment under different operating conditions; where the ambient temperature and / or candidate load are different for different operating conditions;

[0027] Based on operational data and data calculation models, temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads are obtained.

[0028] In one embodiment, the vibration displacement distribution data of the power equipment under different reference loads is determined based on temperature distribution data and electromagnetic field distribution data under different reference loads, including:

[0029] Based on temperature distribution data, electromagnetic field distribution data, and vibration displacement calculation models of power equipment under different reference loads, the vibration displacement distribution data of power equipment under different reference loads are determined.

[0030] Secondly, this application also provides a power equipment modeling apparatus. The apparatus includes:

[0031] The acquisition module is used to acquire the original temperature image and vibration displacement distribution image of the power equipment under the actual load, based on the actual load of the power equipment and the power equipment reference model corresponding to the actual load.

[0032] The color augmentation module is used to augment the original temperature image with colors to obtain an augmented temperature image.

[0033] The displacement magnification module is used to magnify the vibration displacement distribution image to obtain a magnified vibration displacement distribution image.

[0034] The rendering module is used to render the reference model of the power equipment based on the expanded temperature image and the magnified distribution image of vibration displacement, so as to obtain the equipment twin model of the power equipment under actual load; the equipment twin model is used to monitor the operating status of the power equipment.

[0035] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0036] Based on the actual load of the power equipment and the reference model of the power equipment corresponding to the actual load, the original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained.

[0037] The original temperature image is color-enhanced to obtain an enhanced temperature image.

[0038] The vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image;

[0039] Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0040] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0041] Based on the actual load of the power equipment and the reference model of the power equipment corresponding to the actual load, the original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained.

[0042] The original temperature image is color-enhanced to obtain an enhanced temperature image.

[0043] The vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image;

[0044] Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0045] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0046] Based on the actual load of the power equipment and the reference model of the power equipment corresponding to the actual load, the original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained.

[0047] The original temperature image is color-enhanced to obtain an enhanced temperature image.

[0048] The vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image;

[0049] Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0050] The aforementioned power equipment modeling method, apparatus, computer equipment, and storage medium determine a power equipment reference model corresponding to the actual load of the power equipment. The original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained from the power equipment reference model. Then, the original temperature image is color-enhanced, and the vibration displacement distribution image is magnified. Finally, the power equipment reference model is rendered based on the enhanced temperature image and magnified vibration displacement distribution image to obtain a twin model of the power equipment under the actual load, thereby enabling the monitoring of the operating status of the power equipment. This application, based on the power equipment reference model corresponding to the actual load, obtains the original temperature image and vibration displacement distribution image under the actual load, and then uses the enhanced original temperature image and vibration displacement distribution image to render the power equipment reference model to obtain a twin model of the power equipment under the actual load. This achieves both temperature monitoring and vibration displacement monitoring of the power equipment. Attached Figure Description

[0051] Figure 1 This is a diagram illustrating the application environment of the power equipment modeling method provided in this embodiment.

[0052] Figure 2 A flowchart illustrating the first power equipment modeling method provided in this embodiment;

[0053] Figure 3 This is a schematic diagram of the process for determining the augmented temperature image provided in this embodiment;

[0054] Figure 4 This is a flowchart illustrating the process of determining the magnified distribution image of vibration displacement provided in this embodiment;

[0055] Figure 5 This is a flowchart illustrating the process of determining the reference model for power equipment provided in this embodiment;

[0056] Figure 6 This is a schematic diagram of the process for acquiring temperature and electromagnetic field distribution data provided in this embodiment;

[0057] Figure 7 This is a flowchart illustrating the second power equipment modeling method provided in this embodiment;

[0058] Figure 8 This is a structural block diagram of the first type of power equipment modeling device provided in this embodiment;

[0059] Figure 9 This is a structural block diagram of the second type of power equipment modeling device provided in this embodiment;

[0060] Figure 10This is a structural block diagram of the third type of power equipment modeling device provided in this embodiment;

[0061] Figure 11 This is a structural block diagram of the fourth type of power equipment modeling device provided in this embodiment;

[0062] Figure 12 This is an internal structural diagram of the computer device provided in this embodiment. Detailed Implementation

[0063] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0064] The power equipment modeling method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, power equipment 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or placed in the cloud or on other network servers. Specifically, power equipment 102 sends its actual load to server 104. Server 104, based on the acquired actual load, retrieves the original temperature image and vibration displacement distribution image under the actual load from the power equipment reference model. It then performs color augmentation on the original temperature image to obtain an augmented temperature image, and performs vibration displacement magnification processing on the vibration displacement distribution image to obtain an amplified vibration displacement distribution image. Finally, based on the augmented temperature image and the amplified vibration displacement distribution image, it renders the power equipment reference model to obtain a device twin model of the power equipment under the actual load. Server 104 can be implemented using a standalone server or a server cluster composed of multiple servers.

[0065] In one embodiment, such as Figure 2 As shown, a method for modeling power equipment is provided, which can be applied to... Figure 1 Taking the server in the example, the following steps are included:

[0066] S201, based on the actual load of the power equipment and the power equipment reference model corresponding to the actual load, obtain the original temperature image and vibration displacement distribution image of the power equipment under the actual load.

[0067] Among them, power equipment refers to equipment related to power generation and supply in the power system, such as transformers and reactors; actual load refers to the specific load of power equipment in actual operation; power equipment reference model refers to a reference model used to provide original temperature images and vibration displacement distribution images corresponding to the actual load, including original temperature images and vibration displacement distribution images of different reference loads; original temperature image refers to the temperature image output by the power equipment reference model without color augmentation; vibration displacement distribution image refers to the displacement distribution image output by the power equipment reference model without vibration displacement amplification.

[0068] In this embodiment, when the server has rendering requirements, the actual load of the power equipment is obtained. The actual load is then matched against the load library corresponding to the power equipment reference model. A reference load with the same value as the actual load is retrieved from the load library. If no reference load with the same value as the actual load exists, the reference load closest to the actual load is selected. Based on the reference load, the original temperature image and vibration displacement distribution image corresponding to the actual load are retrieved from the power equipment reference model. Here, the reference load is the load in the load library that corresponds to the actual load.

[0069] Another optional implementation of obtaining the original temperature image corresponding to the actual load in this embodiment is as follows: When the server has rendering requirements, the actual load of the power equipment is obtained, and the actual load is matched with the load library corresponding to the power equipment reference model. If there is no reference load with the same value as the actual load in the load library, the original temperature image under the actual load is obtained by fitting the original temperature image of the reference load that is close to the actual load. Specifically, this includes:

[0070] A reference load close to the actual load is selected, including reference loads with values ​​greater than and less than the actual load. Original temperature images of different reference loads are obtained based on the power equipment reference model. The corresponding original temperature distribution matrices for different reference loads are then obtained from these images. The hottest point temperature of the power equipment under different reference loads is extracted, and the relationship curve between the reference load and the hottest point temperature is fitted. When the actual load is ξ, the temperature data at each point of the original temperature distribution matrix of the power equipment can be represented by the following formula:

[0071] T(x,y,z,ξ)=a ξ T(x,y,z,a)+b ξ T(x,y,z,b) (1)

[0072] In formula (1), T(x,y,z,ξ) represents the temperature data at point (x,y,z) of the original temperature distribution matrix of the power equipment when the actual load is ξ, and aξ For the reference load a in the power equipment reference model that is close to the actual load ξ, the weights of the temperature data of the original temperature distribution matrix of the power equipment are calculated. T(x,y,z,a) represents the temperature data of the original temperature distribution matrix of the power equipment at point (x,y,z) when the actual load is a. ξ The weights of the temperature data of the original temperature distribution matrix of the power equipment are calculated when the reference load is b, which is close to the actual load ξ in the power equipment reference model. T(x,y,z,b) represents the temperature data of the original temperature distribution matrix of the power equipment at point (x,y,z) when the actual load is b.

[0073] Wherein, weight a ξ and b ξ Calculate using the following formula:

[0074]

[0075]

[0076] In formula (2), T max (a) T max (b) represents the hottest temperature (T) when the reference loads are a and b, respectively. max (ξ) represents the hottest temperature of the dry-type reactor when the actual load is ξ, obtained from the fitted curve of the relationship between the reference load and the hottest temperature of the power equipment; a ξ For the reference load a in the power equipment reference model that is close to the actual load ξ, calculate the weights of the temperature data of the original temperature distribution matrix of the power equipment; b ξ The weights of the temperature data in the original temperature distribution matrix of the power equipment are calculated when the reference load b, which is close to the actual load ξ, is in the power equipment reference model.

[0077] Therefore, the original temperature image of the actual load can be obtained by fitting the original temperature image of the reference load that is closest to the actual load.

[0078] S202, perform color augmentation on the original temperature image to obtain an augmented temperature image.

[0079] Among them, an augmented temperature image refers to an image obtained by adjusting the colors of the original temperature image.

[0080] One optional implementation method in this embodiment is as follows: the original temperature image is input into a trained image neural network model, the image neural network model performs color augmentation on the original temperature image, and the image output by the image neural network model is used as the augmented temperature image.

[0081] Another optional implementation in this embodiment is to adjust the image parameters of the original temperature image manually, automatically, or semi-automatically, and perform color augmentation to obtain an augmented temperature image. The image parameters include, but are not limited to, at least one of brightness, hue, saturation, and contrast.

[0082] Another optional implementation method in this embodiment is to expand the color channel matrix of the original temperature image manually, automatically, or semi-automatically to obtain an expanded temperature image.

[0083] S203, perform vibration displacement magnification processing on the vibration displacement distribution image to obtain a magnified vibration displacement distribution image.

[0084] Among them, the magnified distribution image of vibration displacement refers to the image obtained by magnifying the local vibration displacement in the vibration displacement distribution map.

[0085] In this embodiment, one possible implementation is as follows: the vibration displacement distribution image is input into a trained neural network model, the neural network model performs vibration displacement amplification processing on the vibration displacement distribution image, and the image output by the neural network model is used as the amplified vibration displacement distribution image.

[0086] Another optional implementation method in this embodiment is to obtain the vibration displacement in the vibration displacement distribution image by manual, automatic or semi-automatic methods, and then magnify the vibration displacement to obtain a magnified vibration displacement distribution image.

[0087] S204. Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain the equipment twin model of the power equipment under actual load; the equipment twin model is used to monitor the operating status of the power equipment.

[0088] Rendering refers to the process of generating images from a model using software, which can also be understood as coloring an image; a device twin model refers to a digital twin model obtained by rendering a power equipment reference model based on an augmented temperature image and an amplified vibration displacement distribution image.

[0089] An optional implementation of this embodiment is as follows: the original temperature image in the power equipment reference model is fused based on the augmented temperature image, and the vibration displacement distribution image in the power equipment reference model is fused based on the magnified vibration displacement distribution image to obtain a twin model of the power equipment under actual load.

[0090] Another optional implementation of this embodiment is: replacing the original temperature image in the power equipment reference model with the expanded temperature image, and replacing the vibration displacement distribution image in the power equipment reference model with the magnified vibration displacement distribution image, to obtain a twin model of the power equipment under actual load.

[0091] Another optional implementation of this embodiment is as follows: Based on the expanded temperature image, obtain the expanded temperature distribution matrix corresponding to the expanded temperature image and construct the corresponding temperature distribution database; based on the expanded vibration displacement distribution image, obtain the vibration displacement gridded distribution matrix corresponding to the expanded vibration displacement distribution image and construct the corresponding vibration displacement distribution database; based on the temperature distribution database and the vibration displacement distribution database, render the force equipment reference model to obtain the equipment twin model of the power equipment under actual load.

[0092] This embodiment determines a power equipment reference model corresponding to the actual load of the power equipment. The original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained from the power equipment reference model. Then, the original temperature image is color-enhanced, and the vibration displacement distribution image is magnified. Based on the enhanced temperature image and magnified vibration displacement distribution image, the power equipment reference model is rendered to obtain a twin model of the power equipment under the actual load, thereby enabling monitoring of the operating status of the power equipment. This application, based on the power equipment reference model corresponding to the actual load, obtains the original temperature image and vibration displacement distribution image under the actual load, and then uses the enhanced original temperature image and vibration displacement distribution image to render the power equipment reference model to obtain a twin model of the power equipment under the actual load. This achieves both temperature monitoring and vibration displacement monitoring of the power equipment.

[0093] In one embodiment, to make the rendered temperature image more realistic, such as Figure 3 As shown, in S202, the original temperature image is color-enlarged to obtain an enlarged temperature image, including:

[0094] S301 decomposes the original temperature image into three color channel matrices.

[0095] The color channel matrix includes the red (R), green (G), and blue (B) color channel matrices of the image.

[0096] Optionally, in this embodiment, the original temperature distribution matrix corresponding to the original temperature image is obtained based on the original temperature image, and the original temperature distribution matrix is ​​decomposed into an R-channel matrix, a G-channel matrix, and a B-channel matrix.

[0097] S302, determine if there is a color channel matrix in the three color channel matrices that has a sudden change in pixel value; if it exists, execute S303; if it does not exist, execute S304.

[0098] Among them, there is a target pixel in the color channel matrix where the pixel value changes abruptly, and the pixel difference between the target pixel and its adjacent pixels is greater than or equal to the pixel threshold.

[0099] Pixel value refers to the value assigned by the computer when the image is digitized. Pixel value mutation refers to the existence of a target pixel in the color channel matrix where the pixel difference between the target pixel and its neighboring pixels is greater than or equal to the pixel threshold. Target pixel refers to a specific pixel in the image.

[0100] Optionally, in this embodiment, the three color channel matrices are the R channel matrix, G channel matrix, and B channel matrix, respectively. In this embodiment, the following formula can be used to determine whether there is a color channel matrix with a sudden change in pixel value among the three channel matrices:

[0101] |R(x i ,y i ,z i )-R(x α ,y α ,z α )|≥ε R

[0102] |G(x i ,y i ,z i )-G(x α ,y α ,z α )|≥ε G

[0103] |B(x i ,y i ,z i )-B(x α ,y α ,z α )|≥ε B (3)

[0104] In formula (3), R(x) α ,y α ,z α ), G(x α ,y α ,z α B(x) α ,y α ,z α ) represent the R-channel matrix, G-channel matrix, and B-channel matrix at the target pixel (x) α ,y α ,zα The pixel value at position R(x) i ,y i ,z i ), G(x i ,y i ,z i B(x) i ,y i ,z i ) is the target pixel (x) α ,y α ,z α The pixel values ​​of each point in the neighborhood centered at ε R ε G ε B These are the pixel thresholds for the R-channel matrix, G-channel matrix, and B-channel matrix, respectively.

[0105] If any of the three inequalities in formula (3) holds true, it indicates that there is a color channel matrix with abrupt changes in pixel values.

[0106] If none of the three inequalities in formula (3) are true, it means that there is no color channel matrix with abrupt changes in pixel values.

[0107] S303, if it exists, perform color expansion on the three color channel matrices, and based on the expanded three color channel matrices, return to perform the operation of judging whether there is a color channel matrix with a sudden change in pixel value in the three color channel matrices, until there is no color channel matrix with a sudden change in pixel value in the three color channel matrices.

[0108] Based on the above embodiments, if such a phenomenon exists, color augmentation is performed on the three color channel matrices. For example, if there are abrupt changes in pixel values ​​in the R channel matrix, the method for color augmentation of the R channel matrix includes:

[0109] If |R(x) i ,y i ,z i )-R(x α ,y α ,z α )|≥ε R And x i ≠x α ,y i =y α ,z i =z α If the original temperature image of the power equipment faces the xz plane, then at y = y α On a plane, add an extended column x = x iα In this embodiment, the R-channel array is in the extended column x = x iαThe pixel values ​​of each point can be determined using the following formula (4):

[0110]

[0111] In formula (4), R(x) i ,y i ,z i ) is the target pixel (x) α ,y α ,z α The pixel values ​​of each point in the neighborhood centered at point R in the R-channel matrix, R(x) α ,y α ,z α ) is the target pixel (x) α ,y α ,z α The pixel value in the R channel matrix.

[0112] Among them, the G-channel array and the B-channel array are in the extended column x = x iα The pixel values ​​of each point can be obtained by calculating the expanded column x = x iα The average pixel value of the pixels on both sides is obtained.

[0113] Similarly, if there are sudden changes in pixel values ​​in the G channel array and the B channel matrix, the above method can also be used for color augmentation.

[0114] After color expansion, the above formula (3) is used to determine again whether there are still color channel matrices with pixel value abrupt changes in the three color channel matrices.

[0115] If it exists, continue to expand the color of the three color channel matrices until there are no color channel matrices with abrupt changes in pixel values ​​in the three color channel matrices.

[0116] If it does not exist, continue executing S304.

[0117] S304 merges the three color channel matrices that do not have abrupt changes in pixel values ​​to obtain an expanded temperature image.

[0118] Merging refers to the process of fusing the R-channel matrix, G-channel matrix, and B-channel matrix that do not have abrupt changes in pixel values.

[0119] Optionally, in this embodiment, the R-channel matrix, G-channel matrix, and B-channel matrix that do not have abrupt changes in pixel values ​​can be input into a trained neural network model. The trained neural network model then merges the R-channel matrix, G-channel matrix, and B-channel matrix to obtain an expanded temperature image.

[0120] In this embodiment, the original temperature image is decomposed to obtain three color channel matrices. Then, it is further determined whether there are pixel value abrupt changes in the three color channel matrices. If so, color augmentation is performed, and the augmented temperature image is obtained after merging, making the augmented temperature image more realistic and clearer.

[0121] In one embodiment, in order to perform vibration displacement magnification processing on the vibration displacement distribution image, such as... Figure 4 As shown, one optional implementation of S203 in the above embodiment includes:

[0122] S401, determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold. If it does not exceed the preset threshold, proceed to S403; if it exceeds the preset threshold, proceed to step S402.

[0123] Among them, local vibration displacement refers to the vibration displacement of a local area in the vibration displacement distribution image; preset threshold refers to a pre-set threshold used to determine whether local vibration displacement needs to be magnified.

[0124] Optionally, in this embodiment, the neighborhood time grid normal vector can be used to determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold. Specifically, the following formula can be used to determine whether the local vibration displacement in the vibration displacement distribution image exceeds the preset threshold:

[0125]

[0126] In formula (5), θ k(i,i+1) The grid representing the vibration displacement distribution image of power equipment at point k at t i to t i+1 The angle by which the grid at point k deflects due to vibration during the time period. The vibration displacement distribution images of the power equipment are shown at point k on the grid at t. i and t i+1 The normal vector of the grid at time t. The vibration displacement distribution images of the power equipment are shown at point k on the grid at t. i and t i+1 The magnitude of the grid normal vector at time t.

[0127] In this embodiment, the preset threshold includes at least a first preset threshold and a second preset threshold.

[0128] If θ k(i,i+1) If the value is greater than or equal to the first preset threshold, the vibration displacement of the grid at point k is amplified.

[0129] If θ k(i,i+1) If it is less than the first preset threshold, then further judgment is made, θk(i,i+1) If the value is greater than or equal to the second preset threshold, then the vibration displacement of the grid at point k is amplified.

[0130] S402, if the local vibration displacement exceeds the preset threshold, the local vibration displacement is magnified to obtain a magnified distribution image of the vibration displacement.

[0131] Based on the above embodiments, taking the grid at point k as an example, if the vibration displacement of the grid at point k is greater than or equal to the first preset threshold, the local vibration displacement can be amplified using the following formula:

[0132]

[0133] In formula (6), d k ′ (i,i+1) d k(i,i+1) These are the amplified and unamplified displacement values ​​of the grid vibration at point k, respectively, θ. kmin(ti,ti+1) For the vibration displacement distribution image grid region, the grids in the neighborhood centered at point k are each at t i and t i+1 The minimum deflection angle within the time period. For the grid at point k at t i and t i+1 The deflection angle over a given time period.

[0134] If the vibration displacement of the grid at point k is less than the first preset threshold but greater than or equal to the second preset threshold, the vibration displacement of the grid at point k can be amplified using the following formula:

[0135]

[0136] In formula (7), d k ′ (i,i+1) d k(i,i+1) The values ​​are the amplified and unamplified displacement values ​​of the mesh vibration at point k, respectively. For the vibration displacement distribution image grid region, each grid in the neighborhood centered at point k in the image at time t i and t i+1 The minimum value of vibration displacement within a time period.

[0137] If the vibration displacement of the grid at point k is less than the second threshold, then the vibration displacement distribution image will not be magnified.

[0138] S403, the vibration displacement distribution image is used as a magnified vibration displacement distribution image.

[0139] This embodiment can determine whether amplification processing is needed based on local vibration displacement combined with preset thresholds. The preset thresholds include a first preset threshold and a second preset threshold. The amplification processing strategy performed on local vibration displacement is different in different threshold ranges, which can more intuitively show the severity of local vibration displacement.

[0140] In one embodiment, in order to determine the power equipment reference model corresponding to the actual load, such as Figure 5 As shown, one possible implementation method is:

[0141] S501 acquires temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads.

[0142] Among them, temperature distribution data refers to the temperature data of various parts of the power equipment during operation, while electromagnetic field distribution data refers to the magnetic field data of various parts of the power equipment during operation.

[0143] Optionally, in this embodiment, temperature distribution images and magnetic field distribution images of power equipment under different reference loads are obtained, and then temperature distribution data and electromagnetic field distribution data under different reference loads are obtained from the temperature distribution images and magnetic field distribution images of power equipment under different reference loads.

[0144] S502, based on temperature distribution data and electromagnetic field distribution data under different reference loads, determine the vibration displacement distribution data of the power equipment under different reference loads.

[0145] Optionally, in this embodiment, the vibration displacement distribution data of the power equipment under different reference loads is determined based on the temperature distribution data, electromagnetic field distribution data, and the vibration displacement calculation model of the power equipment under different reference loads.

[0146] Among them, vibration displacement distribution data refers to the vibration displacement data of different parts of power equipment. It is calculated by combining the vibration displacement model of power equipment with temperature distribution data and electromagnetic field distribution data. Taking dry-type reactor as an example, vibration displacement distribution data includes, but is not limited to, the vibration displacement data of each layer of encapsulation and each layer of winding. The power equipment vibration displacement calculation model refers to the model used to calculate the vibration displacement distribution data of power equipment.

[0147] Specifically, the acquired temperature and electromagnetic field distribution data under different reference loads are imported into calculation software (e.g., ANSYS) with an added vibration displacement calculation model for power equipment to obtain vibration displacement distribution data of the power equipment under different reference loads. The vibration displacement calculation model for the power equipment can be constructed by inputting the calculated electrical temperature and magnetic field data under different reference loads into the calculation software (e.g., ANSYS) with an added physical model of the power equipment.

[0148] S503 constructs reference models for power equipment under different reference loads based on temperature distribution data, vibration displacement distribution data, and pre-built physical models of power equipment under different reference loads.

[0149] Among them, the physical model of power equipment is a three-dimensional geometric model constructed according to the actual size and structure of the power equipment. Taking dry-type reactor as an example, the physical model of dry-type reactor is constructed according to the actual size of dry-type reactor and the corresponding three-dimensional geometric model in combination with components such as encapsulation, winding, star frame, and support bar.

[0150] Optionally, in this embodiment, temperature distribution data and vibration displacement distribution data under different reference loads are imported into a pre-built physical model of the power equipment, and then combined with model building software, a reference model of the power equipment under different reference loads is constructed.

[0151] S504, determine the power equipment reference model corresponding to the actual load from the power equipment reference models under different reference loads.

[0152] Optionally, in this embodiment, the actual load is first obtained, and a reference load matching the actual load is determined from different reference loads. Firstly, it is determined whether there is a reference load with the same value as the actual load. If so, the power equipment reference model corresponding to that reference load is selected as the power equipment reference model corresponding to the actual load. If there is no reference load with the same value as the actual load, the reference load closest to the actual load is selected, and the power equipment reference model corresponding to the closest reference load is used as the power equipment reference model corresponding to the actual load. The method for selecting the reference load closest to the actual load can utilize ratios or differences to determine the degree of similarity between different reference loads and the actual load.

[0153] Based on the above embodiments, in order to more accurately obtain temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads, such as Figure 6 As shown, one possible implementation of S501 is as follows:

[0154] S601, construct a data calculation model based on a pre-built physical model of power equipment.

[0155] Among them, the data calculation model is a model used to calculate the temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads.

[0156] Optionally, a pre-built physical model of the power equipment can be imported into computing software (e.g., ANSYS computing software) to build a data computing model.

[0157] S602, acquire the operating data of the power equipment under different operating conditions; wherein the ambient temperature and / or candidate load are different for different operating conditions.

[0158] Among them, candidate loads refer to loads selected under different operating conditions; operating conditions refer to the working status of power equipment during operation.

[0159] Optionally, in this embodiment, the operating data of the power equipment under different operating conditions can be obtained through sensors.

[0160] S603, based on operating data and data calculation models, obtains temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads.

[0161] Optionally, in this embodiment, operating data under different operating conditions are input into the data calculation model to add constraints to the data calculation model, thereby obtaining temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads.

[0162] In this embodiment, by combining the data calculation model with the different operating conditions of the power equipment and the operating data under different operating conditions, the temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads can be obtained more accurately.

[0163] In one embodiment, such as Figure 7 As shown, one possible implementation of the power equipment modeling method is as follows:

[0164] S701 acquires temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads.

[0165] Optionally, a data calculation model is constructed based on a pre-built physical model of the power equipment; operating data of the power equipment under different operating conditions are obtained; wherein the ambient temperature and / or candidate load are different for different operating conditions; and temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads are obtained based on the operating data and the data calculation model.

[0166] S702, based on temperature distribution data and electromagnetic field distribution data under different reference loads, determine the vibration displacement distribution data of the power equipment under different reference loads.

[0167] Optionally, based on temperature distribution data, electromagnetic field distribution data, and vibration displacement calculation model of power equipment under different reference loads, the vibration displacement distribution data of power equipment under different reference loads can be determined.

[0168] S703 constructs reference models for power equipment under different reference loads based on temperature distribution data, vibration displacement distribution data, and pre-built physical models of power equipment under different reference loads.

[0169] S704, determine the power equipment reference model corresponding to the actual load from the power equipment reference models under different reference loads.

[0170] S705, based on the actual load of the power equipment and the power equipment reference model corresponding to the actual load, obtains the original temperature image and vibration displacement distribution image of the power equipment under the actual load.

[0171] S706 performs color augmentation on the original temperature image to obtain an augmented temperature image.

[0172] Optionally, the original temperature image is decomposed into three color channel matrices; it is determined whether there is a color channel matrix with abrupt pixel value changes in the three color channel matrices; if there is a target pixel in the color channel matrix with abrupt pixel value changes, and the pixel difference between the target pixel and its adjacent pixels is greater than a pixel threshold; if so, the three color channel matrices are color-enlarged, and based on the enlarged three color channel matrices, the operation of determining whether there is a color channel matrix with abrupt pixel value changes in the three color channel matrices is returned, until there is no color channel matrix with abrupt pixel value changes in the three color channel matrices; the three color channel matrices without abrupt pixel value changes are merged to obtain the enlarged temperature image.

[0173] S707, determine whether the local vibration displacement in the vibration displacement distribution image exceeds the preset threshold. If it does not exceed the preset threshold, then execute S709.

[0174] S708, if the preset threshold is exceeded, the local vibration displacement is magnified to obtain a magnified distribution image of the vibration displacement, and then S710 is executed.

[0175] S709, the vibration displacement distribution image is used as a magnified vibration displacement distribution image.

[0176] S710 renders the power equipment reference model based on the expanded temperature image and the magnified vibration displacement distribution image to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0177] This application obtains the original temperature image and vibration displacement distribution image under the actual load based on the power equipment reference model corresponding to the actual load. Then, it uses the enhanced original temperature image and vibration displacement distribution image to render the power equipment reference model, thereby obtaining a twin model of the power equipment under the actual load. This achieves both temperature monitoring and vibration displacement monitoring of the power equipment.

[0178] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0179] Based on the same inventive concept, this application also provides a power equipment modeling apparatus for implementing the power equipment modeling method described above. The solution provided by this apparatus is similar to the implementation scheme described in the above method; therefore, the specific limitations in one or more power equipment modeling apparatus embodiments provided below can be found in the limitations of the power equipment modeling method described above, and will not be repeated here.

[0180] In one embodiment, such as Figure 8 As shown, a power equipment modeling device 1 is provided, including: an acquisition module 10, a color expansion module 20, a displacement magnification module 30, and a rendering module 40, wherein:

[0181] The first acquisition module 10 is used to acquire the original temperature image and vibration displacement distribution image of the power equipment under the actual load, based on the actual load of the power equipment and the power equipment reference model corresponding to the actual load.

[0182] The color augmentation module 20 is used to augment the original temperature image with color to obtain an augmented temperature image.

[0183] The displacement magnification module 30 is used to perform vibration displacement magnification processing on the vibration displacement distribution image to obtain a magnified vibration displacement distribution image.

[0184] The rendering module 40 is used to render the power equipment reference model based on the expanded temperature image and the magnified distribution image of vibration displacement to obtain the equipment twin model of the power equipment under actual load; the equipment twin model is used to monitor the operating status of the power equipment.

[0185] In one embodiment, to make the original temperature image more realistic and clearer, on the upper... Figure 8 On the basis of, such as Figure 9 As shown, above Figure 8 The color expansion module 20 further includes:

[0186] Decomposition unit 201 is used to decompose the original temperature image into three color channel matrices;

[0187] The first judgment unit 202 is used to determine whether there is a color channel matrix with a sudden change in pixel value among the three color channel matrices; if there is a target pixel in the color channel matrix with a sudden change in pixel value, the pixel difference between the target pixel and its adjacent pixels is greater than the pixel threshold.

[0188] If there is a color channel matrix with a sudden change in pixel value, the expansion unit 203 performs color expansion on the three color channel matrices, and based on the expanded three color channel matrices, returns to perform the operation of judging whether there is a color channel matrix with a sudden change in pixel value in the three color channel matrices, until there is no color channel matrix with a sudden change in pixel value in the three color channel matrices.

[0189] The merging unit 204 is used to merge three color channel matrices that do not have abrupt changes in pixel values ​​to obtain an expanded temperature image.

[0190] In one embodiment, in order to determine whether to amplify local vibration displacement, in the above... Figure 8 On the basis of, such as Figure 10 As shown, above Figure 8 The displacement amplification module 30 further includes:

[0191] The second judgment unit 301 is used to judge whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold.

[0192] If the magnification unit 302 exceeds a preset threshold, it magnifies the local vibration displacement to obtain a magnified distribution image of the vibration displacement.

[0193] In one embodiment, in order to determine the reference model of the power equipment corresponding to the actual load, in the above... Figure 8 On the basis of, such as Figure 11 As shown, above Figure 8 The power equipment modeling device 1 in the middle also includes:

[0194] The second acquisition module 50 is used to acquire temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads;

[0195] The first determining module 60 is used to determine the vibration displacement distribution data of the power equipment under different reference loads based on the temperature distribution data and electromagnetic field distribution data under different reference loads.

[0196] Module 70 is used to construct reference models of power equipment under different reference loads based on temperature distribution data, vibration displacement distribution data under different reference loads, and pre-built physical models of power equipment.

[0197] The second determining module 80 is used to determine the power equipment reference model corresponding to the actual load from the power equipment reference models under different reference loads.

[0198] In one embodiment, in order to obtain temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads, such as Figure 11 As shown, the second acquisition module 50 is specifically used for: constructing a data calculation model based on a pre-built physical model of the power equipment; acquiring the operating data of the power equipment under different operating conditions; wherein the ambient temperature and / or candidate loads corresponding to different operating conditions are different; and acquiring the temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads based on the operating data and the data calculation model.

[0199] In one embodiment, such as Figure 11 As shown, the first determining module 60 is specifically used to: determine the vibration displacement distribution data of the power equipment under different reference loads based on the temperature distribution data, electromagnetic field distribution data, and the vibration displacement calculation model of the power equipment under different reference loads.

[0200] Each module in the aforementioned power equipment modeling device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the operations corresponding to each module.

[0201] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 12As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores relevant data about the power equipment. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a power equipment modeling method.

[0202] Those skilled in the art will understand that Figure 12 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0203] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0204] Based on the actual load of the power equipment and the reference model of the power equipment corresponding to the actual load, the original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained.

[0205] The original temperature image is color-enhanced to obtain an enhanced temperature image.

[0206] The vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image;

[0207] Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0208] In one embodiment, when the processor executes the computer program, it further performs the following steps: color augmentation of the original temperature image to obtain an augmented temperature image, including:

[0209] The original temperature image is decomposed into three color channel matrices;

[0210] Determine if there is a color channel matrix in the three color channel matrices where the pixel value changes abruptly; if there is a target pixel in the color channel matrix where the pixel value change abruptly is greater than the pixel threshold, then the target pixel and its neighboring pixels have a pixel difference greater than the pixel threshold.

[0211] If it exists, then color expansion is performed on the three color channel matrices, and based on the expanded three color channel matrices, the operation of judging whether there is a color channel matrix with a sudden change in pixel value is returned, until there is no color channel matrix with a sudden change in pixel value in the three color channel matrices.

[0212] The three color channel matrices that do not have abrupt changes in pixel values ​​are merged to obtain an expanded temperature image.

[0213] In one embodiment, the vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image, including:

[0214] Determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold;

[0215] If the vibration exceeds a preset threshold, the local vibration displacement is magnified to obtain a magnified distribution image of the vibration displacement.

[0216] In one embodiment, the processor, when executing a computer program, further performs the following steps:

[0217] Acquire temperature and electromagnetic field distribution data of power equipment under different reference loads;

[0218] Based on the temperature distribution data and electromagnetic field distribution data under different reference loads, determine the vibration displacement distribution data of the power equipment under different reference loads;

[0219] Based on temperature distribution data under different reference loads, vibration displacement distribution data under different reference loads, and a pre-built physical model of the power equipment, a reference model of the power equipment under different reference loads is constructed.

[0220] From the power equipment reference models under different reference loads, determine the power equipment reference model corresponding to the actual load.

[0221] In one embodiment, when the processor executes the computer program, it further performs the following steps: acquiring temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads, including:

[0222] Based on the pre-built physical model of the power equipment, a data calculation model is constructed;

[0223] Acquire operating data of power equipment under different operating conditions; where the ambient temperature and / or candidate load are different for different operating conditions;

[0224] Based on operational data and data calculation models, temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads are obtained.

[0225] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the vibration displacement distribution data of the power equipment under different reference loads based on temperature distribution data and electromagnetic field distribution data under different reference loads, including:

[0226] Based on temperature distribution data, electromagnetic field distribution data, and vibration displacement calculation models of power equipment under different reference loads, the vibration displacement distribution data of power equipment under different reference loads are determined.

[0227] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0228] Based on the actual load of the power equipment and the reference model of the power equipment corresponding to the actual load, the original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained.

[0229] The original temperature image is color-enhanced to obtain an enhanced temperature image.

[0230] The vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image;

[0231] Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0232] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: color augmentation of the original temperature image to obtain an augmented temperature image, including:

[0233] The original temperature image is decomposed into three color channel matrices;

[0234] Determine if there is a color channel matrix in the three color channel matrices where the pixel value changes abruptly; if there is a target pixel in the color channel matrix where the pixel value change abruptly is greater than the pixel threshold, then the target pixel and its neighboring pixels have a pixel difference greater than the pixel threshold.

[0235] If it exists, then color expansion is performed on the three color channel matrices, and based on the expanded three color channel matrices, the operation of judging whether there is a color channel matrix with a sudden change in pixel value is returned, until there is no color channel matrix with a sudden change in pixel value in the three color channel matrices.

[0236] The three color channel matrices that do not have abrupt changes in pixel values ​​are merged to obtain an expanded temperature image.

[0237] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: performing vibration displacement magnification processing on the vibration displacement distribution image to obtain a magnified vibration displacement distribution image, including:

[0238] Determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold;

[0239] If the vibration exceeds a preset threshold, the local vibration displacement is magnified to obtain a magnified distribution image of the vibration displacement.

[0240] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0241] Acquire temperature and electromagnetic field distribution data of power equipment under different reference loads;

[0242] Based on the temperature distribution data and electromagnetic field distribution data under different reference loads, determine the vibration displacement distribution data of the power equipment under different reference loads;

[0243] Based on temperature distribution data under different reference loads, vibration displacement distribution data under different reference loads, and a pre-built physical model of the power equipment, a reference model of the power equipment under different reference loads is constructed.

[0244] From the power equipment reference models under different reference loads, determine the power equipment reference model corresponding to the actual load.

[0245] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: acquiring temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads, including:

[0246] Based on the pre-built physical model of the power equipment, a data calculation model is constructed;

[0247] Acquire operating data of power equipment under different operating conditions; where the ambient temperature and / or candidate load are different for different operating conditions;

[0248] Based on operational data and data calculation models, temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads are obtained.

[0249] In one embodiment, the vibration displacement distribution data of the power equipment under different reference loads is determined based on temperature distribution data and electromagnetic field distribution data under different reference loads, including:

[0250] Based on temperature distribution data, electromagnetic field distribution data, and vibration displacement calculation models of power equipment under different reference loads, the vibration displacement distribution data of power equipment under different reference loads are determined.

[0251] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0252] Based on the actual load of the power equipment and the reference model of the power equipment corresponding to the actual load, the original temperature image and vibration displacement distribution image of the power equipment under the actual load are obtained.

[0253] The original temperature image is color-enhanced to obtain an enhanced temperature image.

[0254] The vibration displacement distribution image is magnified to obtain a magnified vibration displacement distribution image;

[0255] Based on the expanded temperature image and the magnified distribution image of vibration displacement, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under actual load; the twin model is used to monitor the operating status of the power equipment.

[0256] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: color augmentation of the original temperature image to obtain an augmented temperature image, including:

[0257] The original temperature image is decomposed into three color channel matrices;

[0258] Determine if there is a color channel matrix in the three color channel matrices where the pixel value changes abruptly; if there is a target pixel in the color channel matrix where the pixel value change abruptly is greater than the pixel threshold, then the target pixel and its neighboring pixels have a pixel difference greater than the pixel threshold.

[0259] If it exists, then color expansion is performed on the three color channel matrices, and based on the expanded three color channel matrices, the operation of judging whether there is a color channel matrix with a sudden change in pixel value is returned, until there is no color channel matrix with a sudden change in pixel value in the three color channel matrices.

[0260] The three color channel matrices that do not have abrupt changes in pixel values ​​are merged to obtain an expanded temperature image.

[0261] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: performing vibration displacement magnification processing on the vibration displacement distribution image to obtain a magnified vibration displacement distribution image, including:

[0262] Determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold;

[0263] If the vibration exceeds a preset threshold, the local vibration displacement is magnified to obtain a magnified distribution image of the vibration displacement.

[0264] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0265] Acquire temperature and electromagnetic field distribution data of power equipment under different reference loads;

[0266] Based on the temperature distribution data and electromagnetic field distribution data under different reference loads, determine the vibration displacement distribution data of the power equipment under different reference loads;

[0267] Based on temperature distribution data under different reference loads, vibration displacement distribution data under different reference loads, and a pre-built physical model of the power equipment, a reference model of the power equipment under different reference loads is constructed.

[0268] From the power equipment reference models under different reference loads, determine the power equipment reference model corresponding to the actual load.

[0269] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: acquiring temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads, including:

[0270] Based on the pre-built physical model of the power equipment, a data calculation model is constructed;

[0271] Acquire operating data of power equipment under different operating conditions; where the ambient temperature and / or candidate load are different for different operating conditions;

[0272] Based on operational data and data calculation models, temperature distribution data and electromagnetic field distribution data of power equipment under different reference loads are obtained.

[0273] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: determining the vibration displacement distribution data of the power equipment under different reference loads based on temperature distribution data and electromagnetic field distribution data under different reference loads, including:

[0274] Based on temperature distribution data, electromagnetic field distribution data, and vibration displacement calculation models of power equipment under different reference loads, the vibration displacement distribution data of power equipment under different reference loads are determined.

[0275] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0276] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0277] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for modeling power equipment, characterized in that, The method includes: Based on the actual load of the power equipment and the power equipment reference model corresponding to the actual load, obtain the original temperature image and vibration displacement distribution image of the power equipment under the actual load; The original temperature image is color-enhanced to obtain an enhanced temperature image; Determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold; if it exceeds the preset threshold, then magnify the local vibration displacement to obtain a magnified vibration displacement distribution image; wherein, the preset threshold includes a first preset threshold and a second preset threshold; if it exceeds the preset threshold, then magnify the local vibration displacement to obtain a magnified vibration displacement distribution image, including: if the local vibration displacement is greater than or equal to the first preset threshold, then magnify the local vibration displacement based on the deflection angle within a preset time period and the minimum value of the deflection angle within the preset time period to obtain a magnified vibration displacement image; if the local vibration displacement is less than the first preset threshold and greater than or equal to the second preset threshold, then magnify the local vibration displacement based on the vibration displacement value within a preset time period and the minimum value of the vibration displacement to obtain a magnified vibration displacement image. Based on the expanded temperature image and the magnified vibration displacement distribution image, the reference model of the power equipment is rendered to obtain a twin model of the power equipment under the actual load; the twin model is used to monitor the operating status of the power equipment.

2. The method according to claim 1, characterized in that, The step of color augmenting the original temperature image to obtain an augmented temperature image includes: The original temperature image is decomposed into three color channel matrices; Determine whether there is a color channel matrix with a sudden change in pixel value among the three color channel matrices; if there is a target pixel in the color channel matrix with a sudden change in pixel value, and the pixel difference between the target pixel and its adjacent pixels is greater than or equal to a pixel threshold; If it exists, then the three color channel matrices are augmented with color, and based on the augmented three color channel matrices, the operation of determining whether there are color channel matrices with abrupt changes in pixel values ​​is returned until there are no color channel matrices with abrupt changes in pixel values ​​in the three color channel matrices. The three color channel matrices that do not have abrupt changes in pixel values ​​are merged to obtain an expanded temperature image.

3. The method according to claim 1, characterized in that, The method further includes: If the local vibration displacement is less than the second preset threshold, the vibration displacement distribution image will not be magnified.

4. The method according to any one of claims 1-3, characterized in that, The method further includes: Acquire temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads; Based on the temperature distribution data and electromagnetic field distribution data under different reference loads, the vibration displacement distribution data of the power equipment under different reference loads are determined; Based on the temperature distribution data under different reference loads, the vibration displacement distribution data under different reference loads, and the pre-built physical model of the power equipment, a reference model of the power equipment under different reference loads is constructed. The power equipment reference model corresponding to the actual load is determined from the power equipment reference models under different reference loads.

5. The method according to claim 4, characterized in that, The acquisition of temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads includes: Based on the pre-built physical model of the power equipment, a data calculation model is constructed; Obtain the operating data of the power equipment under different operating conditions; wherein the ambient temperature and / or candidate load are different under different operating conditions; Based on the operating data and the data calculation model, the temperature distribution data and electromagnetic field distribution data of the power equipment under different reference loads are obtained.

6. The method according to claim 4, characterized in that, The step of determining the vibration displacement distribution data of the power equipment under different reference loads based on the temperature distribution data and the electromagnetic field distribution data under different reference loads includes: Based on the temperature distribution data under different reference loads, the electromagnetic field distribution data, and the vibration displacement calculation model of the power equipment, the vibration displacement distribution data of the power equipment under different reference loads are determined.

7. A power equipment modeling device, characterized in that, include: The acquisition module is used to acquire the original temperature image and vibration displacement distribution image of the power equipment under the actual load, based on the actual load of the power equipment and the power equipment reference model corresponding to the actual load. A color augmentation module is used to augment the original temperature image with colors to obtain an augmented temperature image. The displacement magnification module is used to determine whether the local vibration displacement in the vibration displacement distribution image exceeds a preset threshold. If the local vibration displacement exceeds the preset threshold, the local vibration displacement is magnified to obtain a magnified vibration displacement distribution image. The preset threshold includes a first preset threshold and a second preset threshold. The process of magnifying the local vibration displacement to obtain a magnified vibration displacement distribution image includes: if the local vibration displacement is greater than or equal to the first preset threshold, the local vibration displacement is magnified based on the deflection angle within a preset time period and the minimum deflection angle within the preset time period to obtain a magnified vibration displacement image; if the local vibration displacement is less than the first preset threshold but greater than or equal to the second preset threshold, the local vibration displacement is magnified based on the vibration displacement value within a preset time period and the minimum vibration displacement value to obtain a magnified vibration displacement image. The rendering module is used to render the power equipment reference model based on the expanded temperature image and the magnified vibration displacement distribution image to obtain a device twin model of the power equipment under the actual load; the device twin model is used to monitor the operating status of the power equipment.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the power equipment modeling method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the power equipment modeling method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the power equipment modeling method according to any one of claims 1 to 6.

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