Mechanical state determination method and device, computer device, and storage medium

Abstract

The application relates to a mechanical state determination method and device, computer equipment and a storage medium. The method comprises the following steps: determining a stiffness range of a winding, selecting a stiffness parameter from the stiffness range as an initial stiffness parameter, obtaining a theoretical acceleration of the winding according to the initial stiffness parameter and a dynamic model of the winding, determining a target stiffness parameter according to the theoretical acceleration and a measured acceleration, and determining a mechanical state of the winding according to the target stiffness parameter. The method can increase the accuracy of the target stiffness parameter, so that the determined mechanical state of the winding is more accurate.

Description

Technical Field

[0001] This application relates to the field of transformer safety testing technology, and in particular to a method, apparatus, computer equipment, and storage medium for determining mechanical condition. Background Technology

[0002] Power transformers are one of the most important core components in a power system. When a power transformer is subjected to a short-circuit impact, a high-amplitude short-circuit current flows through its windings, generating a huge electrodynamic force that can cause winding deformation and ultimately damage the transformer. Therefore, timely and accurate assessment of the winding's mechanical condition is essential.

[0003] Currently, the methods for detecting the mechanical condition of windings include: first, establishing an initial mechanical property model based on the winding material; then, calculating various types of mechanical parameters based on the initial mechanical property model; and finally, evaluating or calculating the mechanical condition of the winding based on the various types of mechanical parameters, thereby determining the mechanical condition of the winding.

[0004] However, under long-term stress and repeated short-circuit impact currents, the insulation material of the transformer windings experiences problems such as a decrease in elastic modulus and thickness shrinkage, leading to inaccurate winding mechanical states determined by the above methods. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, computer equipment, and storage medium for determining the mechanical state of windings that can accurately determine the aforementioned technical problems.

[0006] Firstly, this application provides a method for determining the mechanical state. The method includes:

[0007] Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0008] Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained;

[0009] Determine the target stiffness parameters based on theoretical and measured acceleration;

[0010] The mechanical state of the winding is determined based on the target stiffness parameter.

[0011] In one embodiment, determining the target stiffness parameter based on theoretical acceleration and measured acceleration includes:

[0012] Based on theoretical acceleration and measured acceleration, determine whether the initial stiffness parameters meet the standards;

[0013] If so, the initial stiffness parameter corresponding to the theoretical acceleration is determined as the target stiffness parameter;

[0014] If not, update the initial stiffness parameter according to the stiffness range to obtain a new initial stiffness parameter, and return to execute the step of obtaining the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding.

[0015] In one embodiment, updating the initial stiffness parameter according to the stiffness range to obtain a new initial stiffness parameter includes:

[0016] A new initial stiffness parameter is selected from the stiffness range using a genetic algorithm.

[0017] In one embodiment, determining whether the initial stiffness parameter meets the standard based on theoretical acceleration and measured acceleration includes:

[0018] If the difference between the theoretical acceleration and the measured acceleration is less than the preset threshold, then the initial stiffness parameter is deemed to meet the standard.

[0019] If the difference between the theoretical acceleration and the measured acceleration is greater than or equal to the preset threshold, then the initial stiffness parameter is determined to be substandard.

[0020] In one embodiment, determining whether the initial stiffness parameter meets the standard based on theoretical acceleration and measured acceleration includes:

[0021] The theoretical acceleration and the measured acceleration are substituted into the fitness function to calculate the result.

[0022] If the calculation result is less than the preset threshold, then the initial stiffness parameter is determined to meet the standard.

[0023] If the calculation result is greater than or equal to the preset threshold, the initial stiffness parameter is determined to be substandard.

[0024] In one embodiment, the above method further includes:

[0025] A dynamic model of the winding is constructed based on the material parameters of the end pads of the winding, the material parameters between adjacent coils, the material parameters between the top pressure plate and the bottom pressure plate, and the material parameters between the bottom pressure plate and the ground. The material parameters include the equivalent stiffness and movement parameters of the corresponding materials.

[0026] In one embodiment, the initial stiffness parameters include the stiffness parameters of the top pad, the bottom pad, the stiffness parameters of the bottom pressure plate to the ground, the stiffness parameters of the pad between the first adjacent coil, the stiffness parameters of the pad between the second adjacent coil, and the stiffness parameters of the pad between the third adjacent coil; the stiffness parameters of the pad between the first adjacent coil, the pad between the second adjacent coil, and the pad between the third adjacent coil are different stiffness parameters among the stiffness parameters corresponding to the pads between all adjacent coils of the winding.

[0027] Secondly, this application also provides a device for determining a mechanical state. The device includes:

[0028] The selection module is used to determine the stiffness range of the winding and select a stiffness parameter from the stiffness range as the initial stiffness parameter.

[0029] The acquisition module is used to obtain the theoretical acceleration of the winding based on the initial stiffness parameters and the dynamic model of the winding;

[0030] The first determining module is used to determine the target stiffness parameters based on theoretical acceleration and measured acceleration;

[0031] The second determining module is used to determine the mechanical state of the winding based on the target stiffness parameter.

[0032] 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:

[0033] Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0034] Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained;

[0035] Determine the target stiffness parameters based on theoretical and measured acceleration;

[0036] The mechanical state of the winding is determined based on the target stiffness parameter.

[0037] 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:

[0038] Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0039] Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained;

[0040] Determine the target stiffness parameters based on theoretical and measured acceleration;

[0041] The mechanical state of the winding is determined based on the target stiffness parameter.

[0042] 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:

[0043] Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0044] Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained;

[0045] Determine the target stiffness parameters based on theoretical and measured acceleration;

[0046] The mechanical state of the winding is determined based on the target stiffness parameter.

[0047] The aforementioned method, apparatus, computer equipment, and storage medium for determining the mechanical state determine the winding's stiffness range, select a stiffness parameter from this range as an initial stiffness parameter, obtain the winding's theoretical acceleration based on the initial stiffness parameter and the winding's dynamic model, determine the target stiffness parameter based on the theoretical and measured acceleration, and then determine the winding's mechanical state based on the target stiffness parameter. This method considers the characteristic that the equivalent stiffness parameter in the winding's dynamic model changes with time during operation. Therefore, it achieves current winding stiffness identification and uses the identified target stiffness parameter as a crucial theoretical basis for evaluating the winding's mechanical state. This ensures that the evaluated winding mechanical state reflects the mechanical state exhibited by the winding's material properties after changes over time during operation, significantly improving the accuracy of detecting the winding's mechanical state. Furthermore, by referencing the actual measured acceleration of the current winding to determine the target stiffness parameter, the method increases the accuracy of determining the target stiffness parameter, further enhancing the accuracy of determining the winding's mechanical state. Attached Figure Description

[0048] Figure 1 This is an application environment diagram of a method for determining the mechanical state in one embodiment;

[0049] Figure 2 This is a flowchart illustrating a method for determining the mechanical state in one embodiment;

[0050] Figure 3 This is a structural diagram of the dynamic model of the winding in one embodiment;

[0051] Figure 4 This is a flowchart illustrating the steps for determining the initial stiffness in one embodiment;

[0052] Figure 5 This is a flowchart illustrating the steps for determining whether the initial stiffness meets the standard in one embodiment;

[0053] Figure 6 This is a flowchart illustrating the steps for determining whether the initial stiffness meets the standard in one embodiment;

[0054] Figure 7 This is a graph showing the variation of theoretical vibration acceleration over time in one embodiment;

[0055] Figure 8 This is a graph showing the change of vibration acceleration over time under optimal parameters in one embodiment;

[0056] Figure 9 This is a flowchart illustrating a method for determining the mechanical state in another embodiment;

[0057] Figure 10 This is a structural block diagram of a device for determining the mechanical state in one embodiment;

[0058] Figure 11 This is a structural block diagram of a device for determining the mechanical state in one embodiment. Detailed Implementation

[0059] 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.

[0060] The method for determining the mechanical state provided in this application embodiment can be applied to, for example, Figure 1 The computer device shown includes a processor and a memory connected via a system bus. The memory stores a computer program, and the processor executes the computer program to perform the steps of the method embodiments described below. Optionally, the computer device may also include an input / output interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the computer device is used to communicate with external terminals via a network connection. Optionally, the computer device may be a server, a personal computer, a personal digital assistant, or other terminal devices, such as tablet computers, mobile phones, etc., or it may be a cloud or remote server. This application embodiment does not limit the specific form of the computer device.

[0061] Those skilled in the art will understand that Figure 1 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.

[0062] Having described the application scenarios of the mechanical state determination method provided in the embodiments of this application, the following section focuses on the process of determining the mechanical state.

[0063] In one embodiment, such as Figure 2 As shown, a method for determining the mechanical state is provided, which can be applied to... Figure 1 Taking a computer device as an example, the explanation includes the following steps:

[0064] S201. Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter.

[0065] The stiffness range of the winding can be a numerical range determined based on empirical values, a numerical range determined by a genetic algorithm, or a numerical range determined by other optimization algorithms. The stiffness range of the winding can be constant or can be updated and changed according to the usage period of the winding; this embodiment does not limit this. Optionally, the stiffness range of the winding can be [2.5*10]. 8 2.5*10 9 ]N / m.

[0066] The initial stiffness parameter in this embodiment may include multiple different types of stiffness parameters. The specific number and type of stiffness parameters included can be determined according to actual measurement requirements. For example, the initial stiffness parameter in this embodiment includes six different types of stiffness parameters, which can be selected. The initial stiffness parameter may include the stiffness parameter of the top pad of the winding (see...). Figure 3 The stiffness parameter of the top pad of the winding in the model shown Stiffness parameters of the bottom pad of the winding (see) Figure 3 The stiffness parameter of the bottom pad of the winding in the model shown Stiffness parameters of the bottom pressure plate of the winding to the ground (see) Figure 3 The stiffness parameter from the bottom pressure plate of the winding to the ground in the model shown. The stiffness parameter of the spacer between the first adjacent coils of the winding (see...) Figure 3 The stiffness parameter of the spacer between the first adjacent coils in the model shown. The stiffness parameter of the pad between the second adjacent coil (see) Figure 3 The stiffness parameter of the spacer between the second coils of the winding in the model shown. The stiffness parameter of the pad between the third adjacent coil (see) Figure 3 The stiffness parameter of the spacer between the third coil of the winding in the model shown. It should be noted that the stiffness parameter of the spacer between the first adjacent coils... Stiffness parameter of the pad between the second adjacent coil Stiffness parameter of the pad between the third adjacent coil and the third adjacent coil These are the different stiffness parameters among the stiffness parameters corresponding to the spacers between all adjacent coils of the winding. Additionally, due to the stiffness parameter of the spacer at the top of the winding... Stiffness parameters of the bottom pad and the stiffness parameters of the bottom pressure plate to the ground. The values ​​of the stiffness parameters vary depending on their type.

[0067] In this embodiment, the computer device can determine a stiffness range of the winding based on the experience of the tester, a genetic algorithm, or other optimization algorithms. Optionally, the computer device can determine different stiffness ranges using different optimization algorithms, and then select an optimal stiffness range as the final stiffness range. Subsequently, the computer device can arbitrarily select a stiffness parameter from the aforementioned stiffness range as the initial stiffness parameter, or select the smallest stiffness parameter from the range as the initial stiffness parameter, or select the largest stiffness parameter from the range as the initial stiffness parameter, or use a genetic algorithm to optimally select a stiffness parameter from the range as the initial stiffness parameter. Optionally, the computer device can first process the data within the aforementioned stiffness range by removing outliers or normalizing it, and then select a stiffness parameter from the range as the initial stiffness parameter using the above methods.

[0068] S202. Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained.

[0069] The dynamic model of the winding can characterize the relationship between the acceleration and stiffness of each pad and pressure plate of the transformer winding in the axial direction under the action of external force. It should be noted that the axial direction of the winding is the height direction of the winding.

[0070] In this embodiment, the computer device can pre-construct a dynamic model of the transformer winding based on its structure and material properties. Optionally, the computer device can construct a dynamic model based on the mapping relationship between the acceleration and stiffness of each pad and pressure plate in the axial direction of the transformer winding under external force. Then, the computer device can substitute the initial stiffness parameter as the initial parameter into the constructed dynamic model for iterative calculation to obtain the theoretical acceleration of the winding. In the above iterative calculation process, the stiffness parameter obtained in each calculation can be used as the basis to update the initial stiffness parameter for iterative calculation. Optionally, the initial stiffness parameter can also be updated according to an optimization algorithm for iterative calculation to finally obtain the optimal theoretical acceleration.

[0071] S203. Determine the target stiffness parameters based on theoretical acceleration and measured acceleration.

[0072] The measured acceleration can be obtained from the actual acceleration measured by the winding accelerometer, or it can be calculated from the actual vibration data of the winding measured by the winding vibration sensor, based on the winding axial vibration equation and the winding vibration data. The winding axial vibration equation can be the relationship between the winding vibration amplitude, vibration time, vibration velocity, and vibration acceleration. The target stiffness parameter is the stiffness parameter possessed by the current winding material.

[0073] In this embodiment, the computer device can compare the measured acceleration with the theoretical acceleration obtained in S202 above to obtain a comparison result. This comparison result can reflect whether the initial stiffness parameter corresponding to the theoretical acceleration is close to the actual stiffness of the current winding material. For example, if the measured acceleration and the theoretical acceleration are close in value, it indicates that the material properties of the winding corresponding to the theoretical acceleration (such as the initial stiffness parameter) conform to the material properties of the current winding; if the measured acceleration and the theoretical acceleration differ significantly, it indicates that the material properties of the winding corresponding to the theoretical acceleration (such as the initial stiffness parameter) do not conform to the material properties of the current winding. Therefore, the computer device can determine whether the initial stiffness parameter corresponding to the theoretical acceleration can be used as the stiffness parameter of the current winding material, i.e., the target stiffness parameter, based on the comparison result.

[0074] S204. Determine the mechanical state of the winding based on the target stiffness parameter.

[0075] Among them, the mechanical state of the winding can characterize the magnitude of different physical quantities such as the deformation, vibration, and displacement of the winding.

[0076] In this embodiment, the computer device can substitute the target stiffness parameter as a variable into a relevant mechanical parameter calculation method for calculation, and determine the mechanical state of the winding based on the calculation result. For example, when the mechanical state of the winding represents the degree of deformation of the winding, the target stiffness parameter or other elastic modulus parameters of the winding material can be substituted into the deformation calculation formula to calculate the deformation of the winding, thereby determining the mechanical state of the winding's deformation degree based on the deformation degree. Optionally, the computer device can also determine the mechanical state of the winding based on the vibration signal analysis method, according to the correspondence between the target stiffness parameter and the mechanical state of the winding vibration degree.

[0077] The method for determining the mechanical state provided in this application determines the stiffness range of the winding, selects a stiffness parameter from the range as an initial stiffness parameter, obtains the theoretical acceleration of the winding based on the initial stiffness parameter and the winding's dynamic model, and determines the target stiffness parameter based on the theoretical acceleration and measured acceleration. Finally, the mechanical state of the winding is determined based on the target stiffness parameter. This method considers the characteristic that the equivalent stiffness parameter in the winding's dynamic model changes with time during operation. Therefore, it achieves current winding stiffness identification and uses the identified target stiffness parameter as an important theoretical basis for evaluating the winding's mechanical state. This ensures that the evaluated winding mechanical state reflects the mechanical state exhibited by the winding's material properties after changes over time during operation, greatly improving the accuracy of detecting the winding's mechanical state. Furthermore, the method references the actual measured acceleration of the current winding to determine the target stiffness parameter, increasing the accuracy of determining the target stiffness parameter and further improving the accuracy of determining the winding's mechanical state.

[0078] In one embodiment, in Figure 2 Based on the illustrated embodiment, the process of determining the target stiffness parameter according to theoretical acceleration and measured acceleration can be described, such as... Figure 4 As shown, the above-mentioned S203 "determine the target stiffness parameter based on theoretical acceleration and measured acceleration" may include the following steps:

[0079] S301. Determine whether the initial stiffness parameters meet the standards based on the theoretical acceleration and the measured acceleration.

[0080] Among them, if the initial stiffness parameter meets the standard, it means that the material properties of the current winding (such as the initial stiffness parameter) are in line with the material properties of the current winding; if the initial stiffness parameter does not meet the standard, it means that the material properties of the current winding (such as the initial stiffness parameter) do not conform to the material properties of the current winding.

[0081] In this embodiment, the initial stiffness parameter can be determined to meet the standard based on the numerical relationship between theoretical acceleration and measured acceleration. Two methods for determining whether the initial stiffness parameter meets the standard are provided below.

[0082] Example 1, such as Figure 5 As shown, the process of "determining whether the initial stiffness parameter meets the standard based on theoretical acceleration and measured acceleration" in S301 above includes:

[0083] S401. If the difference between the theoretical acceleration and the measured acceleration is less than the preset threshold, then the initial stiffness parameter is determined to meet the standard.

[0084] S402. If the difference between the theoretical acceleration and the measured acceleration is greater than or equal to the preset threshold, then the initial stiffness parameter is determined to be substandard.

[0085] The preset threshold is used to characterize the degree of similarity between the theoretical acceleration and the measured acceleration. Specifically, the preset threshold can be 0, 0.01, 0.5, etc., and the value of the preset threshold can be determined according to the actual measurement requirements. This embodiment does not limit the value of the preset threshold.

[0086] In this embodiment of the application, the computer device can perform a difference calculation between the theoretical acceleration and the actual measured acceleration to obtain the difference value. If the difference value is less than a preset threshold, it indicates that the theoretical acceleration and the measured acceleration are close. In this case, the computer device can determine that the initial stiffness parameter meets the standard. If the difference value is greater than or equal to the preset threshold, it indicates that the theoretical acceleration and the measured acceleration differ significantly. In this case, the computer device can determine that the initial stiffness parameter does not meet the standard.

[0087] Example 2, such as Figure 6 As shown, the process of "determining whether the initial stiffness parameter meets the standard based on theoretical acceleration and measured acceleration" in S301 above includes:

[0088] S501. Substitute the theoretical acceleration and the measured acceleration into the fitness function to calculate the result.

[0089] S502. If the calculation result is less than the preset threshold, then the initial stiffness parameter is determined to meet the standard.

[0090] S503. If the calculation result is greater than or equal to the preset threshold, the initial stiffness parameter is determined to be substandard.

[0091] The fitness function is a function determined to accelerate the convergence speed and improve the accuracy of the genetic algorithm's selection. It should be noted that the fitness function should be designed to be as simple as possible to minimize computational complexity. For example, the fitness function can be the sum of the errors between the theoretical acceleration and the actual measured acceleration. The fitness function can be used to characterize the closeness between the theoretical acceleration and the measured acceleration.

[0092] In this embodiment, the replication process of the genetic algorithm is a parameter optimization and selection process based on the fitness function. The function that determines the number of copies of an individual in the genetic algorithm is P=F_sum / (N*F), where F_sum is the sum of the fitness of the population, N is the population size, and F is the fitness of the individual in the population.

[0093] In this embodiment, the computer device can substitute the theoretical acceleration and the actual measured acceleration into the fitness function to calculate the result. If the calculation result is less than a preset threshold, it means that the theoretical acceleration and the measured acceleration are close. In this case, the computer device can determine that the initial stiffness parameter meets the standard. If the calculation result is greater than or equal to the preset threshold, it means that the theoretical acceleration and the measured acceleration differ greatly. In this case, the computer device can determine that the initial stiffness parameter does not meet the standard.

[0094] S302. If the initial stiffness parameter meets the standard, the initial stiffness parameter corresponding to the theoretical acceleration shall be determined as the target stiffness parameter.

[0095] If the initial stiffness parameter determined by the computer equipment according to the above method meets the standard, then the initial stiffness parameter corresponding to the initial theoretical acceleration determined in S201 above shall be directly determined as the target stiffness parameter.

[0096] S303. If the initial stiffness parameter does not meet the standard, update the initial stiffness parameter according to the stiffness range to obtain a new initial stiffness parameter, and return to execute the step of obtaining the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding.

[0097] If the initial stiffness parameter determined by the computer device according to the above method does not meet the standard, a new stiffness parameter is determined from the stiffness range of the winding in the above embodiment as a new initial stiffness parameter, and the steps described in S202 above are executed again based on the new initial stiffness parameter. The execution content of this step has been described in detail in the embodiment of step S202 above, so it will not be explained here.

[0098] For example, the computer device can directly select a value different from the initial stiffness parameter from the stiffness range of the winding in the above embodiments, and determine this value as the new initial stiffness parameter; or, if the initial stiffness parameter is the smallest stiffness parameter selected from the stiffness range of the winding in the above embodiments, the computer device can select the second stiffness parameter from the stiffness range of the winding in the above embodiments in ascending order as the new initial stiffness parameter; or, if the initial stiffness parameter is the largest stiffness parameter selected from the stiffness range of the winding in the above embodiments, the computer device can select the second stiffness parameter from the stiffness range of the winding in the above embodiments in descending order as the new initial stiffness parameter. This embodiment does not limit how to select the new initial stiffness parameter from the stiffness range of the winding.

[0099] Optionally, an implementation of the above S303 is also provided, namely, the above S303 "updates the initial stiffness parameter according to the stiffness range to obtain a new initial stiffness parameter", including: selecting a stiffness parameter from the stiffness range as a new initial stiffness parameter according to a genetic algorithm.

[0100] Among them, genetic algorithms can quickly and accurately select the optimal parameters from multiple parameters.

[0101] In this embodiment, the computer device can select a stiffness parameter different from the initial stiffness parameter from the stiffness range using a genetic algorithm as a new initial stiffness parameter. It should be noted that, to enable the genetic algorithm to quickly and accurately select the optimal parameter from multiple parameters, the parameters of the genetic algorithm need to be initialized. During the initialization process, using a larger population size and a larger number of generations can reduce the chance of the genetic algorithm getting trapped in local optima, and a larger chromosome string length can ensure solution accuracy. Therefore, the initialization parameters of the genetic algorithm are set as follows: population size N = 100, number of generations G = 100, and chromosome length n = 10. Further, in this embodiment, the crossover probability Pc of the genetic algorithm is set to 0.6, and the mutation probability Pm is set to 0.015.

[0102] The method for determining the target stiffness parameter provided in this application embodiment, wherein, since the actual measured acceleration can change continuously over time, the determined target stiffness parameter changes over time, thereby making the mechanical state determined based on the target stiffness parameter change over time, rather than a fixed mechanical state determined based on the winding material in the prior art; and, since the acceleration measured by the accelerometer is more accurate, the accuracy of the determined target stiffness parameter is increased, thereby making the mechanical state of the winding determined by this solution more accurate.

[0103] In one embodiment, a method for constructing a dynamic model of a winding is also provided, namely, constructing a dynamic model of the winding based on the material parameters of the end pads of the winding, the material parameters between adjacent coils, the material parameters between the top pressure plate and the bottom pressure plate, and the material parameters between the bottom pressure plate and the ground.

[0104] The material parameters include the equivalent stiffness and motion parameters of the corresponding material. The motion parameters may include, but are not limited to, parameters such as displacement, velocity, and acceleration.

[0105] In this embodiment, a dynamic model of the winding is first established, see [link to relevant documentation]. Figure 3 The model is represented by the dynamic equations of the windings. Since the vibration of transformer windings is mainly axial, the axial vibration of transformer windings is usually equivalent to that of the transformer windings using a mass-spring-damping model. Helical and disc windings are divided into several discs in the axial direction by radial spacers. The conductors of the same disc are equivalent to concentrated mass blocks, and the stiffness and damping of insulating materials such as pressure plates, fasteners, discs, and spacers are equivalent to springs and adhesive cups, respectively.

[0106] In suchFigure 3 In the axial dynamic model of the winding shown, K T and K B The equivalent stiffness of the pads at the top and bottom ends of the winding are K1 to K2, respectively. n-1 K represents the equivalent stiffness of the spacer between adjacent coils. c K represents the equivalent stiffness from the top pressure plate to the bottom pressure plate (including the clamping studs, core, and fasteners). s K represents the equivalent stiffness from the bottom pressure plate to the ground (including the bottom pads and supporting structures such as the bottom of the fuel tank). C is the equivalent damping coefficient corresponding to the equivalent stiffness K. Each damping coefficient is proportional to each equivalent stiffness, for example, .

[0107] For example, the dynamic equations of the corresponding winding can be constructed based on the dynamic model of the winding described above, as shown in the following formula (1):

[0108] ;

[0109] Where, m T For the mass of the top pressure plate, m B The mass of the bottom pressure plate is m1~m n The quality of each thread cake is respectively. The acceleration of the top pressure plate. The acceleration of the bottom pressure plate. These represent the accelerations of each line disc. The speed of the top pressure plate. The speed of the bottom pressure plate. The speeds of each coil are respectively. This represents the displacement of the top pressure plate. This refers to the displacement of the bottom pressure plate. These represent the displacements of each line disc. The winding is subjected to external pressure. These represent the electromagnetic forces acting on each coil.

[0110] It should be noted that due to the different widths between the winding coils, the thickness of the insulation material varies. Therefore, the equivalent stiffness parameters K1~K of the spacers between adjacent coils are different. n-1 The sizes are not entirely consistent. For example, in this embodiment, there are four equivalent stiffness parameters with different values, denoted as K1, K2, K3, and K4. Additionally, the equivalent stiffness K of the pads at the top and bottom ends of the winding... T and K B And the equivalent stiffness K between the bottom pressure plate and the ground (including the bottom pads and supporting structures such as the bottom of the fuel tank). s For different categories of equivalent stiffness, therefore, K T KB and K s The corresponding equivalent stiffness parameter values ​​are also different.

[0111] The method for constructing a winding dynamic model provided in this embodiment constructs a winding dynamic model based on the equivalent stiffness, acceleration, velocity, and displacement of each pad of the winding and the structure of the winding. This makes the constructed winding dynamic model more accurate, and further makes the theoretical acceleration of the winding obtained based on the initial stiffness parameter and the winding dynamic model more accurate. As a result, the target stiffness parameter determined based on the theoretical acceleration and the measured acceleration is more accurate, which further increases the accuracy of the determined winding mechanical state.

[0112] In one embodiment, the theoretical stiffness value of the winding determined based on the material properties of the current winding itself and the target stiffness parameter of the winding determined by any of the above embodiments (which can be represented by stiffness identification value) are shown in Table 1 below. It can be seen that the stiffness identification value obtained according to the embodiments of this application is basically close to the theoretical stiffness value of the material itself. Therefore, the mechanical state of the transformer obtained by this method is relatively accurate.

[0113] Table 1 Comparison of theoretical values ​​and optimal identification values

[0114]

[0115] also, Figure 7 and Figure 8 The values ​​are the theoretical vibration acceleration of the material itself and the vibration acceleration under the optimal parameters identified by this method, respectively. It can be seen that the optimal identified acceleration value obtained by this method is almost completely close to the vibration acceleration value of the material itself. Therefore, it is further shown that the acceleration of the transformer axial insulation material obtained by this method is relatively accurate.

[0116] In summary, the methods described in all the above embodiments, Figure 9 A flowchart illustrating a method for determining a mechanical state provided in an embodiment of this application is shown below. Figure 9 As shown, the method may include the following steps:

[0117] S901. Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0118] S902. Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained;

[0119] S903. If the difference between the theoretical acceleration and the measured acceleration is less than a preset threshold, proceed to step S904. If the difference between the theoretical acceleration and the measured acceleration is greater than or equal to the preset threshold, proceed to step S905.

[0120] S904, confirm that the initial stiffness parameter meets the standard, and determine the initial stiffness parameter corresponding to the theoretical acceleration as the target stiffness parameter;

[0121] S905, if the initial stiffness parameter is determined to be substandard, select a stiffness parameter from the stiffness range as the new initial stiffness parameter according to the genetic algorithm, and execute the above step S902.

[0122] S906. Determine the mechanical state of the winding based on the target stiffness parameter.

[0123] All of the above steps have been described above. Please refer to the above description for details. They will not be repeated here.

[0124] The method for determining the mechanical state provided in this application determines the stiffness range of the winding, selects a stiffness parameter from the range as an initial stiffness parameter, obtains the theoretical acceleration of the winding based on the initial stiffness parameter and the winding's dynamic model, and determines the target stiffness parameter based on the theoretical acceleration and measured acceleration. Finally, the mechanical state of the winding is determined based on the target stiffness parameter. This method considers the characteristic that the equivalent stiffness parameter in the winding's dynamic model changes with time during operation. Therefore, it achieves current winding stiffness identification and uses the identified target stiffness parameter as an important theoretical basis for evaluating the winding's mechanical state. This ensures that the evaluated winding mechanical state reflects the mechanical state exhibited by the winding's material properties after changes over time during operation, greatly improving the accuracy of detecting the winding's mechanical state. Furthermore, the method references the actual measured acceleration of the current winding to determine the target stiffness parameter, increasing the accuracy of determining the target stiffness parameter and further improving the accuracy of determining the winding's mechanical state.

[0125] 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.

[0126] Based on the same inventive concept, this application also provides a device for determining the mechanical state to implement the above-described method for determining the mechanical state. The solution provided by this device is similar to the solution described in the above-described method. Therefore, the specific limitations in one or more embodiments of the device for determining the mechanical state provided below can be found in the limitations of the method for determining the mechanical state described above, and will not be repeated here.

[0127] In one embodiment, such as Figure 10 As shown, a device for determining the mechanical state is provided, comprising:

[0128] Select module 10 to determine the stiffness range of the winding and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0129] The acquisition module 11 is used to obtain the theoretical acceleration of the winding based on the initial stiffness parameters and the dynamic model of the winding;

[0130] The first determining module 12 is used to determine the target stiffness parameters based on theoretical acceleration and measured acceleration;

[0131] The second determining module 13 is used to determine the mechanical state of the winding based on the target stiffness parameter.

[0132] In one embodiment, such as Figure 11 In the above-mentioned first determining module 12, there are:

[0133] The first determining unit 120 is specifically used to determine whether the initial stiffness parameters meet the standards based on theoretical acceleration and measured acceleration.

[0134] The second determining unit 121 is specifically used to determine the initial stiffness parameter corresponding to the theoretical acceleration as the target stiffness parameter when the initial stiffness parameter meets the standard.

[0135] The acquisition unit 122 is specifically used to update the initial stiffness parameter according to the stiffness range when the initial stiffness parameter does not meet the standard, obtain a new initial stiffness parameter, and return to execute the step of obtaining the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding.

[0136] In one embodiment, the acquisition unit 122 is specifically used to select a stiffness parameter from the stiffness range as a new initial stiffness parameter according to a genetic algorithm.

[0137] In one embodiment, the first determining unit 120 is specifically used to determine that the initial stiffness parameter meets the standard if the difference between the theoretical acceleration and the measured acceleration is less than a preset threshold; and to determine that the initial stiffness parameter does not meet the standard if the difference between the theoretical acceleration and the measured acceleration is greater than or equal to the preset threshold.

[0138] In one embodiment, the first determining unit 120 is specifically used to substitute the theoretical acceleration and the measured acceleration into the fitness function to calculate the result.

[0139] If the calculation result is less than the preset threshold, then the initial stiffness parameter is determined to meet the standard.

[0140] If the calculation result is greater than or equal to the preset threshold, the initial stiffness parameter is determined to be substandard.

[0141] In one embodiment, the device further includes: constructing a dynamic model of the winding based on the material parameters of the end pads of the winding, the material parameters between adjacent coils, the material parameters between the top pressure plate and the bottom pressure plate, and the material parameters between the bottom pressure plate and the ground; the material parameters include the equivalent stiffness and movement parameters of the corresponding materials.

[0142] In one embodiment, the initial stiffness parameters include the stiffness parameters of the top pad, the bottom pad, the stiffness parameters of the bottom pressure plate to the ground, the stiffness parameters of the pad between the first adjacent coil, the stiffness parameters of the pad between the second adjacent coil, and the stiffness parameters of the pad between the third adjacent coil; the stiffness parameters of the pad between the first adjacent coil, the pad between the second adjacent coil, and the pad between the third adjacent coil are different stiffness parameters among the stiffness parameters corresponding to the pads between all adjacent coils of the winding.

[0143] Each module in the aforementioned device for determining the mechanical state 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 memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0144] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 1As 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 operation of the operating system and computer programs stored in the non-volatile storage media. The database stores stiffness parameter data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a method for determining the mechanical state.

[0145] Those skilled in the art will understand that Figure 1 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.

[0146] 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:

[0147] Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0148] Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained;

[0149] Determine the target stiffness parameters based on theoretical and measured acceleration;

[0150] The mechanical state of the winding is determined based on the target stiffness parameter.

[0151] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0152] Based on theoretical acceleration and measured acceleration, determine whether the initial stiffness parameters meet the standards;

[0153] If so, the initial stiffness parameter corresponding to the theoretical acceleration is determined as the target stiffness parameter;

[0154] If not, update the initial stiffness parameter according to the stiffness range to obtain a new initial stiffness parameter, and return to execute the step of obtaining the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding.

[0155] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0156] A new initial stiffness parameter is selected from the stiffness range using a genetic algorithm.

[0157] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0158] If the difference between the theoretical acceleration and the measured acceleration is less than the preset threshold, then the initial stiffness parameter is deemed to meet the standard.

[0159] If the difference between the theoretical acceleration and the measured acceleration is greater than or equal to the preset threshold, then the initial stiffness parameter is determined to be substandard.

[0160] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0161] The theoretical acceleration and the measured acceleration are substituted into the fitness function to calculate the result.

[0162] If the calculation result is less than the preset threshold, then the initial stiffness parameter is determined to meet the standard.

[0163] If the calculation result is greater than or equal to the preset threshold, the initial stiffness parameter is determined to be substandard.

[0164] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0165] A dynamic model of the winding is constructed based on the material parameters of the end pads of the winding, the material parameters between adjacent coils, the material parameters between the top pressure plate and the bottom pressure plate, and the material parameters between the bottom pressure plate and the ground. The material parameters include the equivalent stiffness and movement parameters of the corresponding materials.

[0166] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0167] The initial stiffness parameters include the stiffness parameters of the top pad, the bottom pad, the stiffness parameters of the bottom pressure plate to the ground, the stiffness parameters of the pad between the first adjacent coil, the stiffness parameters of the pad between the second adjacent coil, and the stiffness parameters of the pad between the third adjacent coil. The stiffness parameters of the pad between the first adjacent coil, the second adjacent coil, and the third adjacent coil are different stiffness parameters among the stiffness parameters corresponding to the pads between all adjacent coils of the winding.

[0168] 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:

[0169] Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter;

[0170] Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained;

[0171] Determine the target stiffness parameters based on theoretical and measured acceleration;

[0172] The mechanical state of the winding is determined based on the target stiffness parameter.

[0173] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0174] Based on theoretical acceleration and measured acceleration, determine whether the initial stiffness parameters meet the standards;

[0175] If so, the initial stiffness parameter corresponding to the theoretical acceleration is determined as the target stiffness parameter;

[0176] If not, update the initial stiffness parameter according to the stiffness range to obtain a new initial stiffness parameter, and return to execute the step of obtaining the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding.

[0177] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0178] A new initial stiffness parameter is selected from the stiffness range using a genetic algorithm.

[0179] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0180] If the difference between the theoretical acceleration and the measured acceleration is less than the preset threshold, then the initial stiffness parameter is deemed to meet the standard.

[0181] If the difference between the theoretical acceleration and the measured acceleration is greater than or equal to the preset threshold, then the initial stiffness parameter is determined to be substandard.

[0182] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0183] The theoretical acceleration and the measured acceleration are substituted into the fitness function to calculate the result.

[0184] If the calculation result is less than the preset threshold, then the initial stiffness parameter is determined to meet the standard.

[0185] If the calculation result is greater than or equal to the preset threshold, the initial stiffness parameter is determined to be substandard.

[0186] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0187] A dynamic model of the winding is constructed based on the material parameters of the end pads of the winding, the material parameters between adjacent coils, the material parameters between the top pressure plate and the bottom pressure plate, and the material parameters between the bottom pressure plate and the ground. The material parameters include the equivalent stiffness and movement parameters of the corresponding materials.

[0188] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0189] The initial stiffness parameters include the stiffness parameters of the top pad, the bottom pad, the stiffness parameters of the bottom pressure plate to the ground, the stiffness parameters of the pad between the first adjacent coil, the stiffness parameters of the pad between the second adjacent coil, and the stiffness parameters of the pad between the third adjacent coil. The stiffness parameters of the pad between the first adjacent coil, the second adjacent coil, and the third adjacent coil are different stiffness parameters among the stiffness parameters corresponding to the pads between all adjacent coils of the winding.

[0190] Those skilled in the art will understand that all or part of the processes in 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. When executed, the computer program can include the processes of the embodiments described above. 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.

[0191] 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.

[0192] 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 determining the mechanical state, characterized in that, The method includes: Determine the stiffness range of the winding, and select a stiffness parameter from the stiffness range as the initial stiffness parameter; Based on the initial stiffness parameters and the dynamic model of the winding, the theoretical acceleration of the winding is obtained; Based on the theoretical acceleration and the measured acceleration, determine the target stiffness parameters; The mechanical state of the winding is determined based on the target stiffness parameter. The determination of the target stiffness parameter based on the theoretical acceleration and the measured acceleration includes: Based on the theoretical acceleration and the measured acceleration, determine whether the initial stiffness parameter meets the standard; If so, the initial stiffness parameter corresponding to the theoretical acceleration is determined as the target stiffness parameter; If not, the initial stiffness parameter is updated according to the stiffness range to obtain a new initial stiffness parameter, and the step of obtaining the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding is returned based on the new initial stiffness parameter.

2. The method according to claim 1, characterized in that, The step of updating the initial stiffness parameter according to the stiffness range to obtain a new initial stiffness parameter includes: A stiffness parameter is selected from the stiffness range using a genetic algorithm as the new initial stiffness parameter.

3. The method according to claim 1, characterized in that, The step of determining whether the initial stiffness parameter meets the standard based on the theoretical acceleration and the measured acceleration includes: If the difference between the theoretical acceleration and the measured acceleration is less than a preset threshold, then the initial stiffness parameter is determined to meet the standard. If the difference between the theoretical acceleration and the measured acceleration is greater than or equal to a preset threshold, then the initial stiffness parameter is determined to be substandard.

4. The method according to claim 1, characterized in that, The step of determining whether the initial stiffness parameter meets the standard based on the theoretical acceleration and the measured acceleration includes: The theoretical acceleration and the measured acceleration are substituted into the fitness function for calculation to obtain the calculation results; If the calculation result is less than the preset threshold, then the initial stiffness parameter is determined to meet the standard. If the calculation result is greater than or equal to the preset threshold, then the initial stiffness parameter is determined to be substandard.

5. The method according to any one of claims 1-4, characterized in that, The method further includes: A dynamic model of the winding is constructed based on the material parameters of the end pads of the winding, the material parameters between adjacent coils, the material parameters between the top pressure plate and the bottom pressure plate, and the material parameters between the bottom pressure plate and the ground; the material parameters include the equivalent stiffness and movement parameters of the corresponding materials.

6. The method according to claim 1, characterized in that, The initial stiffness parameters include the stiffness parameters of the top pad, the bottom pad, the stiffness parameters of the bottom pressure plate to the ground, the stiffness parameters of the pad between the first adjacent coil, the stiffness parameters of the pad between the second adjacent coil, and the stiffness parameters of the pad between the third adjacent coil; the stiffness parameters of the pad between the first adjacent coil, the pad between the second adjacent coil, and the pad between the third adjacent coil are different stiffness parameters among the stiffness parameters corresponding to the pads between all adjacent coils of the winding.

7. A device for determining the mechanical state, characterized in that, The device includes: The selection module is used to determine the stiffness range of the winding and select a stiffness parameter from the stiffness range as the initial stiffness parameter. The acquisition module is used to obtain the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding; The first determining module is used to determine the target stiffness parameter based on the theoretical acceleration and the measured acceleration; The second determining module is used to determine the mechanical state of the winding based on the target stiffness parameter. The first determining module includes: The first determining unit is specifically used to determine whether the initial stiffness parameters meet the standards based on theoretical acceleration and measured acceleration. The second determining unit is specifically used to determine the initial stiffness parameter corresponding to the theoretical acceleration as the target stiffness parameter, provided that the initial stiffness parameter meets the standard. The acquisition unit is specifically used to update the initial stiffness parameter according to the stiffness range when the initial stiffness parameter does not meet the standard, obtain a new initial stiffness parameter, and return to execute the step of obtaining the theoretical acceleration of the winding based on the initial stiffness parameter and the dynamic model of the winding.

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 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 method according to any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

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