CN116305363A - Temperature field distribution calculation method and device, electronic equipment and medium - Google Patents

Abstract

The invention discloses a method, a device, electronic equipment and a medium for calculating temperature field distribution, wherein the method comprises the following steps: obtaining a simulation calculation model corresponding to a target transformer, wherein the simulation calculation model is a two-dimensional axisymmetric model; and calculating the temperature field distribution of the target transformer based on the excitation signals processed by the target transformer and the simulation calculation model. According to the method, the calculation of the temperature field distribution is performed based on the two-dimensional axisymmetric simulation calculation model, so that the calculated amount of temperature calculation is reduced, and the operation speed is improved.

Description

Calculation method, device, electronic equipment and medium for temperature field distribution

technical field

The invention relates to the technical field of transformer temperature analysis, in particular to a calculation method, device, electronic equipment and medium for temperature field distribution.

Background technique

As one of the core equipment of the power system, the power transformer is widely used in power grids of various voltage levels. Its safe and reliable operation is an important guarantee for the stable operation of the power system. Among them, dry-type transformers have the characteristics of high operating efficiency, strong reliability and superior environmental performance, and their proportion in the distribution network is increasing. The temperature rise characteristic is an important indicator to reflect the health status of dry-type transformers, especially the transient temperature rise characteristics, which can be used to evaluate the overload capacity of dry-type transformers.

The existing calculation method of temperature field distribution mainly adopts the numerical calculation method, and is mainly used to calculate the temperature distribution under the forced convection heat transfer mode, the calculation amount is large, and the calculation speed is relatively slow.

Contents of the invention

The invention provides a calculation method, device, electronic equipment and medium for temperature field distribution, so as to reduce the calculation amount of temperature calculation and improve the calculation speed.

According to an aspect of the present invention, a method for calculating temperature field distribution is provided, including:

Obtaining a simulation calculation model corresponding to the target transformer, the simulation calculation model being a two-dimensional axisymmetric model;

Calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model.

According to another aspect of the present invention, a calculation device for temperature field distribution is provided, comprising:

An acquisition module, configured to acquire a simulation calculation model corresponding to the target transformer, where the simulation calculation model is a two-dimensional axisymmetric model;

A calculation module, configured to calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model.

According to another aspect of the present invention, an electronic device is provided, and the electronic device includes:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the method described in any embodiment of the present invention. Calculation method of temperature field distribution.

According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement any of the embodiments of the present invention when executed. Calculation method of the temperature field distribution.

Embodiments of the present invention provide a calculation method, device, electronic equipment, and medium for temperature field distribution. The method includes: obtaining a simulation calculation model corresponding to the target transformer, and the simulation calculation model is a two-dimensional axisymmetric model; based on the Calculate the temperature field distribution of the target transformer using the processed excitation signal of the target transformer and the simulation calculation model. By using the above technical solution, the calculation of the temperature field distribution is performed through the simulation calculation model based on the two-dimensional axis symmetry, which reduces the calculation amount of the temperature calculation, thereby improving the calculation speed.

It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will be easily understood from the following description.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without creative effort.

Fig. 1 is a flow chart of a method for calculating temperature field distribution according to Embodiment 1 of the present invention;

Fig. 2 is a flow chart of a method for calculating temperature field distribution according to Embodiment 2 of the present invention;

FIG. 3 is a schematic diagram of a smoothed excitation signal provided according to Embodiment 2 of the present invention;

FIG. 4 is a schematic diagram of another smoothed excitation signal provided according to Embodiment 2 of the present invention;

Fig. 5 is a flow chart of another method for calculating temperature field distribution according to Embodiment 2 of the present invention;

Fig. 6 is a schematic structural diagram of a geometric model provided according to Embodiment 2 of the present invention;

7 is a schematic diagram of a temperature field distribution of a target transformer provided according to Embodiment 2 of the present invention;

Fig. 8 is a schematic diagram of the results of comparing the average temperature rise theoretical value and simulated value under different load rates according to Embodiment 2 of the present invention;

9 is a schematic structural diagram of a calculation device for temperature field distribution provided according to Embodiment 3 of the present invention;

FIG. 10 is a schematic structural diagram of an electronic device according to Embodiment 4 of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "target" and "original" in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

Embodiment one

Fig. 1 is a flow chart of a method for calculating the temperature field distribution according to Embodiment 1 of the present invention. This embodiment is applicable to the case of calculating the temperature field distribution of a transformer. The method can be calculated by a temperature field distribution computing device The calculation means of the temperature field distribution can be implemented in the form of hardware and/or software, and the calculation means of the temperature field distribution can be configured in electronic equipment.

It can be considered that transformers can be divided into dry-type transformers and oil-immersed transformers according to different insulating media. Dry-type transformers have the characteristics of high operating efficiency, strong reliability and superior environmental performance, and their proportion in the distribution network is increasing. According to statistics, dry-type transformers can account for 40%-50% of distribution transformers, and the temperature rise characteristics are important indicators to reflect the health status of dry-type transformers, especially the transient temperature rise characteristics, which can be used for the overload capacity of dry-type transformers evaluation of.

At present, the commonly used methods for solving dry-type variable temperature rise mainly include empirical formula method, thermoelectric analogy method, numerical calculation method, etc. Among them, the numerical calculation method can obtain the temperature field distribution of dry-type transformer. However, the existing method of numerical calculation to solve the distribution of the dry variable temperature field has a large amount of calculation and a slow calculation speed, and most of them are used for the steady-state temperature rise calculation in the forced convection heat transfer mode, while the transient state temperature calculation method in the natural convection heat transfer mode The temperature rise process is difficult to converge and the calculation is difficult.

Based on this, the embodiment of the present invention proposes a calculation method suitable for the temperature field distribution of the natural convection heat dissipation dry-type transformer, so as to quickly calculate the temperature distribution of the natural convection heat dissipation dry-type transformer in the transient process. As shown in Figure 1, the method includes:

S110. Acquire a simulation calculation model corresponding to the target transformer, where the simulation calculation model is a two-dimensional axisymmetric model.

Among them, the target transformer can be considered as a transformer that needs to calculate the temperature distribution; the simulation calculation model can refer to the model corresponding to the target transformer, which is used to calculate the temperature distribution in the transient process of the target transformer. In this embodiment, the simulation calculation model can be 2D axisymmetric model.

Specifically, in this embodiment, the simulation calculation model corresponding to the target transformer can be obtained first, so as to calculate the subsequent temperature field distribution, and the method of obtaining the simulation calculation model is not limited. Exemplarily, when calculating the temperature field distribution of the target transformer for the first time, the simulation calculation model corresponding to the target transformer can be established first, and then the simulation calculation model can be obtained; when calculating the temperature field distribution calculation of the target transformer at a subsequent time , then the simulation calculation model of the target transformer can be obtained directly.

In one embodiment, the acquisition of the simulation calculation model corresponding to the target transformer includes:

Determining a geometric model of the target transformer, the geometric model being a model corresponding to the main structural components of the target transformer, the main structural components including iron cores and windings;

According to material parameters and preset control equations, the geometric model is configured to obtain a simulation calculation model corresponding to the target transformer.

The geometric model can refer to the model corresponding to the main structural parts of the target transformer, which is used to characterize the geometric structure of the main structural parts of the target transformer; the main structural parts can be the main parts of the target transformer, for example, the main structural parts can include the iron core of the target transformer and windings, and may also include other components of the target transformer, such as clips, etc., and the specific content can be determined by the configurator based on experience.

Material parameters can be considered as parameters for configuring each part of the geometric model. For example, material parameters can include the specific heat capacity of the iron core, etc.; preset control equations can refer to preset control equations, which are used to characterize the parameters in the geometric model that need to satisfy The conditions, such as preset governing equations may include one or more governing equations.

In one embodiment, the material parameter includes a main structural component parameter and a fluid parameter, the fluid parameter is a material parameter of an air domain outside the main structural component, and the fluid parameter is a piecewise linear function.

The parameters of the main structural components can refer to the parameters of the main structural components of the target transformer, such as the density and specific heat capacity of the iron core, etc.; the fluid parameters can be considered as the material parameters of the air domain outside the main structural components. In this embodiment, The air domain outside the main structural components can be set as a fluid, and the specific content of the fluid parameters can be set by the configurator, for example, the fluid parameters can be piecewise linear functions.

In one embodiment, this embodiment needs to assign material parameters to the windings, iron core and air domain of the target transformer, and the density, specific heat capacity and thermal conductivity of the solid domain (that is, the parameters of the main structural components) basically do not change with the change of temperature , which can be set as a constant; the material parameters (ie, fluid parameters) in the air domain are greatly affected by temperature, and can be described by piecewise linear functions.

Among them, Table 1 is the parameters of a main structural component provided in this embodiment, wherein the first row can be the parameters of the low-voltage winding, the second row can be the parameters of the high-voltage winding, and the third row can be the parameters of the clip , the fourth line can be the parameters of the core.

Table 2 is a fluid parameter provided in this embodiment, that is, a material parameter in the air domain.

其中，k是热导率；T是温度；Q是热源。In one embodiment, the essence of using multi-physics field simulation technology to solve the transient temperature distribution of the dry-type transformer in this embodiment may be to use the finite element method to solve the partial differential equation. For heat transfer problems in solid areas such as iron cores and windings, the two-dimensional dry-type transformer can be determined according to the law of energy conservation, that is, the sum of the energy flowing into a certain unit and its calorific value is equal to the sum of the heat flowing out of the unit and the increase in internal energy. The governing equation for axisymmetric transient heat conduction is

Among them, k is the thermal conductivity; T is the temperature; Q is the heat source.

和/>

ρ是绝缘油密度；u是油流速度矢量；p是压力；F是体积力；λ是绝缘油动力粘度。At the same time, the outside of the solid area is surrounded by air. The increase in temperature of the solid area causes the surrounding air to expand when heated, hot air rises, and cold air descends. The air flow process will take away the heat from the outer surface of the solid area in the form of convection. Therefore, according to fluid mechanics, non-isothermal flow processes such as air need to obey the law of conservation of mass, law of conservation of momentum and law of conservation of energy, and satisfy the constraints of the Navier-Stokes equation. The specific governing equations may include:

and />

ρ is the density of the insulating oil; u is the oil flow velocity vector; p is the pressure; F is the body force; λ is the dynamic viscosity of the insulating oil.

Specifically, firstly, the geometric model of the target transformer can be determined. For example, the geometric model can be established for all structures of the target transformer, or the structure of the target transformer can be simplified to establish the geometric model. Exemplarily, the amount of calculation can be reduced without affecting the simulation accuracy, and the structure of the target transformer can be simplified and processed as follows: the structure of the target transformer lifting ring, high-voltage connecting rod, stay, etc. can be ignored, and the main body of the target transformer can be considered Structural components, such as iron cores, clips, windings, etc.; use the operations of ignoring edges and deleting holes, so that the geometric model is mostly an overall structure for easy grid division; build high and low voltage winding coils separately, and high voltage coils can be wound for flat copper wires The multi-layer segmented cylindrical coil, the low-voltage coil can be wound into a foil coil by axially continuous copper foil.

Then, according to the material parameters and preset control equations, the geometric model is configured correspondingly to obtain the simulation calculation model corresponding to the final target transformer.

In one embodiment, the acquisition of the simulation calculation model corresponding to the target transformer includes:

Boundary conditions of the simulation calculation model are determined, and the boundary conditions include no-slip boundary conditions, open boundary conditions and symmetric boundary conditions.

In this embodiment, the boundary conditions may include no-slip boundary conditions, open boundary conditions, and symmetrical boundary conditions. The specific content of the above three boundary conditions is not limited and can be set based on actual conditions.

In one embodiment, in this embodiment, the gravitational acceleration can be set to 9.81m/s2, and the direction is the negative and reverse direction of the y-axis; at the same time, the interface between the body of the target transformer and the air domain can be a fluid-solid coupling interface, and the fluid-solid coupling interface can be The coupling interface is set as the no-slip boundary condition; the inlet is set below the target transformer air zone, the ambient temperature is 20°C, the open boundary condition is above the air zone of the target transformer and the side away from the iron core, and the symmetrical boundary condition is set on the side close to the iron core; Set the core and winding surfaces as diffuse surfaces with a surface emissivity of 0.9.

In one embodiment, in the process of establishing the simulation calculation model corresponding to the target transformer, the boundary conditions of the simulation calculation model may also be determined to ensure the accuracy of the simulation calculation model.

In one embodiment, the simulation calculation model is a model established based on the narrow side cross-section of the target transformer.

In one embodiment, the calculation of the transient temperature rise process of the three-dimensional dry-type transformer is large and the calculation speed is slow. Therefore, the narrow-side cross-section of the target transformer can be selected to establish a two-dimensional thermal flow field simulation model, that is, a simulation calculation model.

S120. Calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model.

The excitation signal can be used to characterize the loss value corresponding to the heat source of the target transformer. The heat source of the target transformer can be considered as the equipment or device that causes the temperature of the target transformer to change, such as the equipment that makes the target transformer heat; the processed excitation signal can be understood as The signal after the excitation signal is processed, the specific means of processing is not limited, and can be determined according to the actual situation of the heat source.

In this step, after obtaining the simulation calculation model, the temperature field distribution of the target transformer can be calculated based on the processed excitation signal of the target transformer and the simulation calculation model, so that the calculated temperature distribution can be used for the evaluation of the performance of the target transformer, such as overload capacity Evaluate. Wherein, this embodiment does not limit the specific process of calculating the temperature field distribution. For example, the processed excitation signal can be input into the simulation calculation model of the target transformer to directly output the temperature field distribution of the target transformer; The processed excitation signal and the simulation calculation model are calculated to obtain the temperature field distribution of the target transformer, which is not limited in this embodiment.

The calculation method of the temperature field distribution provided by the first embodiment of the present invention obtains the simulation calculation model corresponding to the target transformer, and the simulation calculation model is a two-dimensional axisymmetric model; based on the processed excitation signal of the target transformer and the The simulation calculation model calculates the temperature field distribution of the target transformer. By using this method, the temperature field distribution is calculated based on a two-dimensional axisymmetric simulation calculation model, which reduces the calculation amount of temperature calculation and thus improves the calculation speed.

Embodiment two

Fig. 2 is a flow chart of a method for calculating temperature field distribution according to Embodiment 2 of the present invention. This Embodiment 2 is optimized on the basis of the foregoing embodiments. In this embodiment, the situation before calculating the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model is further embodied as: based on the nameplate of the target transformer smoothing the excitation signal to obtain the processed excitation signal.

Please refer to Embodiment 1 for the content that is not exhaustive in this embodiment.

As shown in Figure 2, the method includes:

S210. Acquire a simulation calculation model corresponding to the target transformer, where the simulation calculation model is a two-dimensional axisymmetric model.

S220. Smoothing the excitation signal based on the nameplate parameters of the target transformer to obtain the processed excitation signal.

The nameplate parameters may refer to factory parameters of the target transformer.

In this step, the excitation signal may be smoothed based on nameplate parameters of the target transformer to obtain a processed excitation signal, and the smoothing process may be determined based on the excitation signal.

In one embodiment, the excitation signal is a loss value corresponding to a target transformer heat source, the target transformer heat source is a main structural component of the target transformer, and the excitation signal is a step function.

In one embodiment, the target transformer heat source is the main cause of the target transformer heating, the target transformer heat source can be the main structural components of the target transformer, that is, the loss on the main structural components of the target transformer is the main cause of the target transformer heating, and this implementation For example, a step function can be used to characterize the loss value corresponding to the target transformer heat source.

FIG. 3 is a schematic diagram of a smoothed excitation signal according to Embodiment 2 of the present invention. As shown in FIG. 3 , it is a signal after a step function is smoothed based on nameplate parameters of the winding.

FIG. 4 is a schematic diagram of another smoothed excitation signal according to Embodiment 2 of the present invention. As shown in FIG. 4 , it is a signal obtained by smoothing a step function based on nameplate parameters of the iron core.

S230. Calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model.

The calculation method of the temperature field distribution provided by the second embodiment of the present invention obtains the simulation calculation model corresponding to the target transformer, and the simulation calculation model is a two-dimensional axisymmetric model; the excitation signal is smoothed based on the nameplate parameters of the target transformer processing to obtain the processed excitation signal; and calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model. Using this method, the excitation signal is smoothed based on the nameplate parameters of the target transformer, which improves the convergence of the subsequent simulation calculation process.

Fig. 5 is a flow chart of another calculation method for temperature field distribution according to Embodiment 2 of the present invention. As shown in Fig. 5 , first, step functions can be used to characterize the heat sources of each part of the dry-type transformer (that is, the target transformer heat source is The main structural components of the target transformer, the excitation signal is a step function) and smoothed to improve the convergence of the transient simulation calculation process; then based on the finite element principle, a natural convection current can be constructed for dry-type transformers The transient simulation model of the two-dimensional axisymmetric heat flow field in the heat dissipation mode (that is, the simulation calculation model corresponding to the target transformer), and the smoothed heat source is used as the excitation of the simulation model; then the transient simulation of the constructed heat flow field can be Each variable in the model is coupled into a single matrix, and the iterative method with less calculation amount is used to calculate the matrix to obtain the transient temperature distribution of the dry-type transformer in the natural convection heat transfer mode (that is, based on the target transformer after processing The excitation signal and the simulation calculation model calculate the temperature field distribution of the target transformer).

Fig. 6 is a schematic structural diagram of a geometric model provided according to Embodiment 2 of the present invention. As shown in Fig. 6, the geometric model is a model corresponding to the main structural components of the target transformer, and the main structural components may include iron core 1, winding 2 and Clip 3.

Fig. 7 is a schematic diagram of the temperature field distribution of a target transformer provided according to Embodiment 2 of the present invention. As shown in Fig. 7, it is a schematic diagram of the temperature of each component in the target transformer at a certain moment, and the above-mentioned method provided by this embodiment can also be The temperature distribution of the target transformer at different times is obtained.

The simulation calculation of the transient temperature distribution of a certain dry-type transformer can be carried out through the above method, and at the same time, this embodiment can adopt a method for experimental verification to verify the effectiveness and accuracy of the above method. Exemplarily, for the simulated dry-type transformer, temperature rise tests under different load rates may be performed to verify the accuracy of the proposed simulation calculation method.

Figure 8 is a schematic diagram of the results of comparing the theoretical and simulated values of the average temperature rise under different load rates according to Embodiment 2 of the present invention. As shown in Figure 8, the test fitting curve and simulation of the average temperature rise under different load rates The fitting curves are highly fitted, and the theoretical values are basically consistent with the experimental values, thus the effectiveness and accuracy of the simulation calculation method proposed in this embodiment can be verified.

In summary, compared with traditional dry-type variable temperature rise calculation methods (such as empirical formula method, thermal network method, and numerical calculation method), the calculation method of temperature field distribution provided by the embodiment of the present invention can be used without affecting the temperature field simulation. On the premise of the calculation results, the geometric structure of the dry-type transformer is reasonably simplified, and according to the symmetry of the dry-type transformer, a two-dimensional axisymmetric model is used to model the geometry of the dry-type transformer, which greatly reduces the amount of simulation calculation and improves operation speed. In addition, the heat source of the dry-type transformer is represented by a smoothed step function, which improves the convergence of the transient simulation model.

Therefore, the embodiment of the present invention realizes fast and accurate simulation calculation of the transient temperature rise process of the natural convection dry-type transformer, and obtains the temperature distribution at any time during the cold start process of the dry-type transformer, which is used for the health of the dry-type transformer. State assessment and overload capacity evaluation provide theoretical guidance for structural optimization and state assessment of dry-type transformers.

Embodiment three

FIG. 9 is a schematic structural diagram of a calculation device for temperature field distribution according to Embodiment 3 of the present invention. As shown in Figure 9, the device includes:

An acquisition module 310, configured to acquire a simulation calculation model corresponding to the target transformer, where the simulation calculation model is a two-dimensional axisymmetric model;

The calculation module 320 is configured to calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model.

A computing device for temperature field distribution provided by Embodiment 3 of the present invention obtains the simulation calculation model corresponding to the target transformer through the acquisition module, and the simulation calculation model is a two-dimensional axisymmetric model; after processing by the calculation module based on the target transformer The excitation signal and the simulation calculation model calculate the temperature field distribution of the target transformer. The device is used to calculate the temperature field distribution based on a two-dimensional axisymmetric simulation calculation model, which reduces the calculation amount of temperature calculation and thus improves the calculation speed.

Optionally, the acquiring module 310 is specifically used for:

Determining a geometric model of the target transformer, the geometric model being a model corresponding to the main structural components of the target transformer, the main structural components including iron cores and windings;

According to material parameters and preset control equations, the geometric model is configured to obtain a simulation calculation model corresponding to the target transformer.

Optionally, the material parameter includes a main structural component parameter and a fluid parameter, the fluid parameter is a material parameter of an air domain outside the main structural component, and the fluid parameter is a piecewise linear function.

Optionally, a computing device for temperature field distribution provided in an embodiment of the present invention further includes:

A smoothing processing module, configured to smooth the excitation signal based on nameplate parameters of the target transformer before calculating the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model , to obtain the processed excitation signal.

Optionally, the excitation signal is a loss value corresponding to a target transformer heat source, the target transformer heat source is a main structural component of the target transformer, and the excitation signal is a step function.

Optionally, the acquiring module 310 is specifically used for:

Boundary conditions of the simulation calculation model are determined, and the boundary conditions include no-slip boundary conditions, open boundary conditions and symmetric boundary conditions.

Optionally, the simulation calculation model is a model established based on the narrow side cross section of the target transformer.

The temperature field distribution computing device provided in the embodiments of the present invention can execute the temperature field distribution computing method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

Embodiment four

FIG. 10 is a schematic structural diagram of an electronic device according to Embodiment 4 of the present invention. Electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (eg, helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are by way of example only, and are not intended to limit implementations of the inventions described and/or claimed herein.

As shown in FIG. 10 , the electronic device 10 includes at least one processor 11, and a memory communicatively connected with the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores There is a computer program executable by at least one processor, and the processor 11 can operate according to a computer program stored in a read-only memory (ROM) 12 or loaded from a storage unit 18 into a random access memory (RAM) 13. Various appropriate actions and processes are performed. In the RAM 13, various programs and data necessary for the operation of the electronic device 10 are also stored. The processor 11 , ROM 12 , and RAM 13 are connected to each other through a bus 14 . An input/output (I/O) interface 15 is also connected to the bus 14 .

Multiple components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

Processor 11 may be various general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various dedicated artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, digital signal processing processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes various methods and processes described above, such as a calculation method of temperature field distribution.

In some embodiments, the method for calculating the temperature field distribution can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 18 . In some embodiments, part or all of the computer program may be loaded and/or installed on the electronic device 10 via the ROM 12 and/or the communication unit 19 . When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for calculating the temperature field distribution described above can be executed. Alternatively, in other embodiments, the processor 11 may be configured in any other appropriate way (for example, by means of firmware) to execute the calculation method of the temperature field distribution.

Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips Implemented in a system of systems (SOC), load programmable logic device (CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the programmable processor Can be special-purpose or general-purpose programmable processor, can receive data and instruction from storage system, at least one input device, and at least one output device, and transmit data and instruction to this storage system, this at least one input device, and this at least one output device an output device.

Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, so that the computer program causes the functions/operations specified in the flowcharts and/or block diagrams to be implemented when executed by the processor. A computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus or device. A computer readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium may be a machine readable signal medium. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer discs, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

In order to provide interaction with the user, the systems and techniques described herein can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display)) for displaying information to the user. monitor); and a keyboard and pointing device (eg, a mouse or a trackball) through which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and can be in any form (including Acoustic input, speech input or, tactile input) to receive input from the user.

The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., as a a user computer having a graphical user interface or web browser through which a user can interact with embodiments of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system can be interconnected by any form or medium of digital data communication, eg, a communication network. Examples of communication networks include: local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

A computing system can include clients and servers. Clients and servers are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or a cloud host. It is a host product in the cloud computing service system to solve the problems of difficult management and weak business expansion in traditional physical hosts and VPS services. defect.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, each step described in the present invention may be executed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution of the present invention can be achieved, there is no limitation herein.

The above specific implementation methods do not constitute a limitation to the protection scope of the present invention. It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. A calculation method for temperature field distribution, characterized in that, comprising: Obtaining a simulation calculation model corresponding to the target transformer, the simulation calculation model being a two-dimensional axisymmetric model; Calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model. 2. The method according to claim 1, wherein said obtaining the simulation calculation model corresponding to the target transformer comprises: Determining a geometric model of the target transformer, the geometric model being a model corresponding to the main structural components of the target transformer, the main structural components including iron cores and windings; According to material parameters and preset control equations, the geometric model is configured to obtain a simulation calculation model corresponding to the target transformer. 3. The method according to claim 2, wherein the material parameter comprises a main structural part parameter and a fluid parameter, the fluid parameter is a material parameter of an air domain outside the main structural part, and the fluid The arguments are piecewise linear functions. 4. The method according to claim 1, wherein, before calculating the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model, further comprising: The excitation signal is smoothed based on the nameplate parameters of the target transformer to obtain the processed excitation signal. 5. The method according to claim 4, wherein the excitation signal is the loss value corresponding to the target transformer heat source, the target transformer heat source is the main structural part of the target transformer, and the excitation signal is a step function. 6. The method according to claim 1, wherein said obtaining the simulation calculation model corresponding to the target transformer comprises: Boundary conditions of the simulation calculation model are determined, and the boundary conditions include no-slip boundary conditions, open boundary conditions and symmetric boundary conditions. 7. The method according to claim 1, wherein the simulation calculation model is a model established based on the narrow side cross section of the target transformer. 8. A computing device for temperature field distribution, comprising: An acquisition module, configured to acquire a simulation calculation model corresponding to the target transformer, where the simulation calculation model is a two-dimensional axisymmetric model; A calculation module, configured to calculate the temperature field distribution of the target transformer based on the processed excitation signal of the target transformer and the simulation calculation model. 9. An electronic device, characterized in that the electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, the computer program is executed by the at least one processor, so that the at least one processor can perform any one of claims 1-7 The calculation method of the temperature field distribution. 10. A computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method described in any one of claims 1-7 when executed. Calculation method of temperature field distribution.

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