GIS temperature field simulation calculation method and system based on multi-scale modeling

Abstract

The invention provides a GIS temperature field simulation calculation method and system based on multi-scale modeling, and relates to the technical field of temperature field simulation calculation, and the method comprises the steps: obtaining geometric structure parameter information and operation environment condition parameters of GIS equipment, processing the geometric structure parameter information through multi-physical simulation software, and obtaining a two-dimensional electromagnetic loss distribution matrix; carrying out dimension reduction processing on the matrix to obtain electromagnetic loss distribution data after dimension reduction; and repeatedly calculating dimension reduction data at at least two temperatures, and establishing an electromagnetic loss database after dimension reduction. And constructing a three-dimensional model based on the geometric structure parameter information of the GIS equipment, and mapping the electromagnetic loss data after dimension reduction to the three-dimensional model to generate a three-dimensional electromagnetic loss model. And finally, inputting the three-dimensional electromagnetic loss model and the operating environment condition parameters into multi-physical simulation software for coupling calculation to obtain temperature field data of the GIS equipment. Through the multi-scale modeling and data dimension reduction technology, the calculation efficiency and the temperature field simulation precision are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature field simulation calculation, and in particular, to a GIS temperature field simulation calculation method and system based on multi-scale modeling. Background Art

[0002] In the power field, with the continuous growth of power demand and the increasing popularity of power systems, gas-insulated switchgear (GIS) has been widely used in power systems due to its advantages such as compact structure, high reliability, and excellent performance. Thermal faults caused by overheating of GIS busbar conductors are typical accidents. The high temperature of the conductors not only limits the current-carrying capacity of GIS but also reduces the insulation performance of the equipment. In addition to thermal faults caused by the heat generated by the equipment itself, the environment where GIS equipment is located is complex, and solar radiation has a significant impact on the temperature of the GIS equipment housing. Gas leakage accidents caused by the deformation of the housing due to uneven heating caused by solar radiation also occur frequently, seriously threatening the safe and stable operation of GIS equipment.

[0003] Therefore, accurately and quickly calculating the temperature distribution of GIS is of great significance for mastering the operating state of GIS and ensuring the stable operation of the power system. However, traditional calculation methods are based on two-dimensional models or three-dimensional models, and it is difficult to balance the calculation accuracy and speed. The disadvantage of the two-dimensional model is low calculation accuracy. Since the position of the sun is dynamically changing, the two-dimensional model cannot truly reflect the influence of solar radiation on the temperature distribution of the GIS housing. The disadvantage of the three-dimensional model is slow calculation speed. The temperature calculation process of GIS equipment includes iterative calculations of electromagnetic fields and computational fluid dynamics. Compared with the two-dimensional model, the degrees of freedom of its calculation increase geometrically, requiring a large amount of computing resources and making it difficult to quickly obtain the temperature distribution.

[0004] Therefore, there is an urgent need for a GIS temperature field simulation calculation method and system based on multi-scale modeling to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a GIS temperature field simulation calculation method and system based on multi-scale modeling to improve the above problems. To achieve the above purpose, the technical solutions adopted by the present invention are as follows:

[0006] In the first aspect, the present application provides a GIS temperature field simulation calculation method based on multi-scale modeling, including:

[0007] Obtain the geometric structure parameter information of the GIS equipment and the operating environment condition parameters of the GIS equipment;

[0008] Process the geometric structure parameter information of the GIS equipment based on a preset multi-physics simulation software to obtain a two-dimensional electromagnetic loss distribution matrix of the GIS equipment;

[0009] Perform dimensionality reduction on the two-dimensional electromagnetic loss distribution matrix of the GIS device to obtain the dimensionality-reduced electromagnetic loss distribution data;

[0010] Repeatedly calculate the dimensionality-reduced electromagnetic loss distribution data of the GIS device at at least two temperatures, and establish a dimensionality-reduced electromagnetic loss database based on the dimensionality-reduced electromagnetic loss distribution data corresponding to all temperatures;

[0011] Send the geometric structure parameter information of the GIS device to a preset multi-physics simulation software for three-dimensional model construction, and map the data in the dimensionality-reduced electromagnetic loss database to the three-dimensional model of the GIS device to obtain the three-dimensional electromagnetic loss model of the GIS device;

[0012] Input the three-dimensional electromagnetic loss model of the GIS device and the operating environment condition parameters of the GIS device into the multi-physics simulation software for coupled calculation to obtain the temperature field data of the GIS device.

[0013] In a second aspect, the present application also provides a GIS temperature field simulation calculation system based on multi-scale modeling, including:

[0014] An acquisition unit for acquiring the geometric structure parameter information of the GIS device and the operating environment condition parameters of the GIS device;

[0015] A processing unit for processing the geometric structure parameter information of the GIS device based on a preset multi-physics simulation software to obtain a two-dimensional electromagnetic loss distribution matrix of the GIS device;

[0016] A dimensionality reduction unit for performing dimensionality reduction on the two-dimensional electromagnetic loss distribution matrix of the GIS device to obtain the dimensionality-reduced electromagnetic loss distribution data;

[0017] A calculation unit for repeatedly calculating the dimensionality-reduced electromagnetic loss distribution data of the GIS device at at least two temperatures, and establishing a dimensionality-reduced electromagnetic loss database based on the dimensionality-reduced electromagnetic loss distribution data corresponding to all temperatures;

[0018] A mapping unit for sending the geometric structure parameter information of the GIS device to a preset multi-physics simulation software for three-dimensional model construction, and mapping the data in the dimensionality-reduced electromagnetic loss database to the three-dimensional model of the GIS device to obtain the three-dimensional electromagnetic loss model of the GIS device;

[0019] A coupling unit for inputting the three-dimensional electromagnetic loss model of the GIS device and the operating environment condition parameters of the GIS device into the multi-physics simulation software for coupled calculation to obtain the temperature field data of the GIS device.

[0020] The beneficial effects of the present invention are:

[0021] The present invention calculates the losses of GIS equipment using a two-dimensional model and establishes a discrete loss database at different temperatures. At the same time, the loss data is dimensionally reduced to further reduce the quantity of the loss data. Then, the two-dimensional loss distribution is mapped to a three-dimensional model, and finally, the temperature distribution of the GIS is calculated. This method avoids the huge computational amount of calculating electromagnetic losses using a three-dimensional model. At the same time, using a three-dimensional model can more accurately reflect the temperature distribution of the GIS equipment, thus taking into account both the speed and accuracy of the temperature calculation of the GIS equipment.

[0022] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will be obvious from the specification, or can be understood by implementing the embodiments of the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the written specification, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and thus should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 It is a schematic flow chart of the method for simulating and calculating the temperature field of GIS based on multi-scale modeling described in the embodiments of the present invention;

[0025] Figure 2 It is a schematic structural diagram of the system for simulating and calculating the temperature field of GIS based on multi-scale modeling described in the embodiments of the present invention.

[0026] In the figure: 701, acquisition unit; 702, processing unit; 703, dimensional reduction unit; 704, calculation unit; 705, mapping unit; 706, coupling unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and illustrated herein generally can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0028] It should be noted that like reference numerals and letters denote like items in the following drawings. Therefore, once an item is defined in one drawing, it does not require further definition and explanation in subsequent drawings. At the same time, in the description of the present invention, terms such as "first" and "second" are only used for descriptive distinction and cannot be construed as indicating or implying relative importance.

[0029] Embodiment 1:

[0030] This embodiment provides a GIS temperature field simulation calculation method based on multi-scale modeling.

[0031] See Figure 1 , which shows that this method includes steps S1, S2, S3, S4, S5, and S6.

[0032] Step S1: Obtain the geometric structure parameter information of the GIS device and the operating environment condition parameters of the GIS device;

[0033] It can be understood that the geometric structure parameter information of the GIS device includes the device's dimensions, shape, material composition, and internal electrical structure, etc. These parameters directly affect the electromagnetic field distribution and heat conduction characteristics of the device. For example, the conductor shape of the device, the insulator layout, the thickness and material of the metal shell, etc. all have a significant impact on the electromagnetic loss and temperature field distribution. Therefore, the accurate acquisition of these geometric structure parameters is a prerequisite for ensuring the accuracy of the simulation results.

[0034] At the same time, the operating environment condition parameters of the GIS device are also crucial, which include the ambient temperature, air pressure, humidity, wind speed, and external radiation conditions of the device, etc. For example, the solar radiation intensity and incident angle will affect the heating process of the device shell. Especially in a complex environment, the difference in temperature field distribution may cause local overheating of the device, thereby affecting the operation safety of the device. Therefore, the acquisition of these environmental conditions is particularly important for subsequent temperature field simulation.

[0035] Step S2: Process the geometric structure parameter information of the GIS device based on a preset multi - physical simulation software to obtain the two - dimensional electromagnetic loss distribution matrix of the GIS device;

[0036] It can be understood that the advantage of using multi - physical simulation software to calculate the two - dimensional electromagnetic loss distribution matrix lies in its high precision and high efficiency. Compared with traditional manual calculation or simplified models, the simulation software can handle complex geometric structures and physical phenomena, providing more accurate and comprehensive electromagnetic loss data. Among them, the multi - physical simulation software is COMSOL Multiphysics software. In this step, step S2 includes step S21 and step S22.

[0037] Step S21: Send the geometric structure parameter information of the GIS device to a preset multi - physical simulation software for two - dimensional model construction to obtain the two - dimensional model of the GIS device;

[0038] It can be understood that the automatic model construction by the simulation software avoids the errors and inefficiencies that may occur in the traditional manual modeling process. At the same time, the simulation software can accurately generate a two - dimensional model according to the complex geometric shape of the device, not only improving the modeling speed but also ensuring a high degree of consistency between the model and the actual device.

[0039] Step S22: Determine the corresponding two - dimensional electromagnetic loss distribution matrix of the GIS device based on the two - dimensional model of the GIS device and the multi - physical simulation software.

[0040] It can be understood that through accurate electromagnetic field simulation, it can provide high - precision data support for subsequent temperature field calculations. The calculation of the two - dimensional electromagnetic loss distribution matrix is the key to establishing the temperature field model, which directly determines the heat source distribution of each part in the device.

[0041] The two - dimensional loss distribution matrix is Q. According to the loss density at each point in space, Q can be expressed as:

[0042]

[0043] In the formula: Q represents the two - dimensional loss distribution matrix. The two - dimensional loss distribution matrix represents the loss density of each point in the busbar area and the enclosure area. m represents the m - th row in the matrix. n represents the n - th column in the matrix.

[0044] Step S3: Perform dimensionality reduction processing on the two - dimensional electromagnetic loss distribution matrix of the GIS device to obtain the dimensionality - reduced electromagnetic loss distribution data;

[0045] It is understandable that the dimensionality reduction process brings a significant improvement in computational efficiency. By removing those data points that have less impact on the temperature field calculation, the storage space and operation time required for the calculation can be greatly reduced. In addition, the dimensionality reduction process does not lose key electromagnetic loss information, ensuring that the accuracy of the subsequent temperature field calculation is not affected. In this step, step S3 includes step S31, step S32, and step S33.

[0046] Step S31: Determine the position coordinates and loss value corresponding to each data point based on the two-dimensional electromagnetic loss distribution matrix of the GIS device;

[0047] It is understandable that due to the skin effect and the proximity effect of the three-phase busbars, the current density is unevenly distributed on the busbars, and the current density induced on the outer shell will also be unevenly distributed, resulting in uneven busbar losses and outer shell distribution. The uneven distribution of losses will lead to a large amount of redundant data. By using the method of setting a gradient threshold, the amount of data can be reduced while retaining the loss distribution characteristics, improving the calculation efficiency. According to the loss distribution matrix Q calculated in S2, each data point corresponds to a coordinate (x i , y j ) and a loss value Q ij (x i , y j ). The loss values in the x direction are as follows:

[0048]

[0049] Among them, Q ij represents the loss value, x i and y j respectively represent the abscissa and ordinate of the data point, x represents in the abscissa direction, Q i+1j+1 represents the loss value of the next data point in the abscissa direction, x i+1 represents the abscissa of the next data point in the abscissa direction.

[0050] The gradient of the loss values in the y direction is as follows:

[0051]

[0052] Among them, Q ij represents the loss value, x i and y j respectively represent the abscissa and ordinate of the data point, y represents in the ordinate direction, Q i+1j+1 represents the loss value of the next data point in the abscissa direction, y i+1 represents the ordinate of the next data point in the ordinate direction.

[0053] Step S32: Determine the gradient value corresponding to each data point based on a preset gradient calculation formula, and compare the gradient value corresponding to each data point with a preset gradient threshold. If the gradient value corresponding to a data point is less than the preset gradient threshold, delete the loss data corresponding to the data point.

[0054] It can be understood that the preset gradient calculation formula is as follows:

[0055]

[0056] Among them, |T ij | represents the gradient value of the data point. Among them, Q ij represents the loss value, x i and y j respectively represent the abscissa and ordinate of the data point. y represents in the ordinate direction, and x represents in the abscissa direction.

[0057] Step S33: If the gradient value corresponding to a data point is greater than or equal to the preset gradient threshold, retain the loss data corresponding to the data point to obtain the reduced-dimensional electromagnetic loss distribution data.

[0058] It can be understood that through the screening mechanism based on the gradient value, the electromagnetic loss data crucial for the temperature field calculation is effectively retained, ensuring that the reduced-dimensional data set simplifies the calculation process while maximizing the calculation accuracy and efficiency.

[0059] It can be understood that after step S33, there are also step S34 and step S35.

[0060] Step S34: Calculate the total loss value of the reduced-dimensional electromagnetic loss distribution data and the total loss value of the electromagnetic loss distribution data before dimensional reduction respectively based on a preset total loss calculation formula. The total loss value of the electromagnetic loss distribution data before dimensional reduction is the total loss value of the electromagnetic loss distribution data corresponding to the two-dimensional electromagnetic loss distribution matrix of the GIS device.

[0061] It can be understood that the loss calculation formula before dimensional reduction is as follows:

[0062]

[0063] Among them, Loss2 represents the total loss value of the electromagnetic loss distribution data before dimensional reduction, n represents the number of rows of the two-dimensional loss distribution matrix before dimensional reduction, m represents the number of columns of the two-dimensional loss distribution matrix before dimensional reduction, i represents the i-th row data of the data point, and j represents the j-th column data of the data point; Q i+1j+1 represents the loss value of the next data point in the abscissa direction, y i+1 represents the ordinate of the next data point in the ordinate direction; x i+1Denotes the abscissa of the next data point in the abscissa direction, x i and y j Denote the abscissa and ordinate of the data point respectively.

[0064] It can be understood that the loss calculation formula after dimensionality reduction is as follows:

[0065]

[0066] Among them, Loss1 represents the total loss value of the electromagnetic loss distribution data before dimensionality reduction, u represents the number of rows of the two-dimensional loss distribution matrix after dimensionality reduction, v represents the number of columns of the number of rows of the two-dimensional loss distribution matrix after dimensionality reduction, i represents the i-th row data of the data point, and j represents the j-th column data of the data point;

[0067] Q i+1j+1 Denotes the loss value of the next data point in the abscissa direction, y i+1 Denotes the ordinate of the next data point in the ordinate direction; x i+1 Denotes the abscissa of the next data point in the abscissa direction, x i and y j Denote the abscissa and ordinate of the data point respectively.

[0068] Step S35: Determine whether the error between the total loss value of the electromagnetic loss distribution data after dimensionality reduction and the total loss value of the electromagnetic loss distribution data before dimensionality reduction is greater than a preset threshold. If the error is greater than the preset threshold, increase the preset threshold according to a preset ratio until the error is less than the preset threshold.

[0069] It can be understood that this step achieves a balance between efficiency and accuracy: it improves the calculation efficiency through dimensionality reduction, and ensures the data quality after dimensionality reduction through error correction and dynamic adjustment.

[0070] Step S4: Repeatedly calculate the electromagnetic loss distribution data after dimensionality reduction of the GIS device at at least two temperatures, and establish an electromagnetic loss database after dimensionality reduction based on the electromagnetic loss distribution data after dimensionality reduction corresponding to all temperatures;

[0071] It can be understood that the electromagnetic loss distribution of the GIS device under different temperature conditions is calculated and dimensionality-reduced, and these data are systematically stored to form a complete electromagnetic loss database after dimensionality reduction, providing data support for subsequent equipment performance analysis and optimization.

[0072] Step S5: Send the geometric structure parameter information of the GIS device to a preset multi-physics simulation software for three-dimensional model construction, and map the data in the electromagnetic loss database after dimensionality reduction to the three-dimensional model of the GIS device to obtain a three-dimensional electromagnetic loss model of the GIS device;

[0073] It is understandable that in this step, step S5 includes step S51, step S52, step S53 and step S54.

[0074] Step S51: Determine the axial length and cross-sectional area of the three-dimensional model based on the three-dimensional model of the GIS device;

[0075] It is understandable that assume the axial length of the three-dimensional GIS model is l and the cross-sectional area is S.

[0076] Step S52: Divide the axial length into a preset number of micro-elements to obtain the length of each micro-element and the total number of micro-elements;

[0077] It is understandable that d micro-elements are evenly taken in the axial direction, that is, Δl = l / d.

[0078] Step S53: Construct the axial direction coordinates of the three-dimensional model based on the axial length of the three-dimensional model, the length of each micro-element and the total number of micro-elements;

[0079] It is understandable that the calculation formula of the axial direction coordinates is as follows:

[0080] z p = z0 + pΔl, p = 1, 2,..., d

[0081] where, z p represents the axial direction coordinates, z0 represents the axial direction coordinates of the origin of the coordinate axis, p represents the p-th micro-element, and d represents the total number of micro-elements.

[0082] Step S54: Construct the mapping formula of the three-dimensional electromagnetic loss model of the GIS device based on the axial direction coordinates of the three-dimensional model, the length of each micro-element, the axial length of the three-dimensional model and the cross-sectional area, and map the data in the dimension-reduced electromagnetic loss database to the three-dimensional model of the GIS device based on the mapping formula to obtain the three-dimensional electromagnetic loss model of the GIS device.

[0083] It is understandable that the mapping formula is as follows:

[0084]

[0085] where, Q rt (x i , y j , z p ) represents the three-dimensional loss distribution matrix, S represents the cross-sectional area of the three-dimensional GIS model, Δl represents the length of each micro-element, Q r (x i , y j) represents a data point in the two-dimensional loss distribution matrix, i represents the i-th row data of the data point, and j represents the j-th column data of the data point; u represents the number of rows of the two-dimensional loss distribution matrix after dimensionality reduction, and v represents the number of columns of the number of rows of the two-dimensional loss distribution matrix after dimensionality reduction.

[0086] Step S6: Input the three-dimensional electromagnetic loss model of the GIS device and the operating environment condition parameters of the GIS device into the multi-physics simulation software for coupled calculation to obtain the temperature field data of the GIS device.

[0087] It can be understood that this step includes step S61 and step S62.

[0088] Step S61: Input the three-dimensional electromagnetic loss model of the GIS device and the operating environment condition parameters of the GIS device into the preset multi-physics simulation software to calculate the initial temperature field of the GIS device.

[0089] It can be understood that the initial temperature field reflects the temperature differences of each component in the device, providing a reliable basis for evaluating the operating safety of the device.

[0090] Step S62: Input the initial temperature field of the GIS device into the preset multi-physics simulation software to construct a flow field, a heat transfer field, and a radiation field, and couple the initial temperature field, the flow field, the heat transfer field, and the radiation field of the GIS device through the preset multi-physics simulation software to obtain the final temperature field of the GIS device.

[0091] It can be understood that the coupled calculation can comprehensively simulate the thermal behavior of the GIS device in the actual operating environment, avoiding the deviation of single-field calculation.

[0092] Embodiment 2:

[0093] As Figure 2 shown, this embodiment provides a GIS temperature field simulation calculation system based on multi-scale modeling. Refer to Figure 2 The system includes an acquisition unit 701, a processing unit 702, a dimensionality reduction unit 703, a calculation unit 704, a mapping unit 705, and a coupling unit 706.

[0094] The acquisition unit 701 is used to acquire the geometric structure parameter information of the GIS device and the operating environment condition parameters of the GIS device;

[0095] The processing unit 702 is used to process the geometric structure parameter information of the GIS device based on the preset multi-physics simulation software to obtain the two-dimensional electromagnetic loss distribution matrix of the GIS device;

[0096] The dimensionality reduction unit 703 is used to perform dimensionality reduction processing on the two-dimensional electromagnetic loss distribution matrix of the GIS device to obtain the dimensionality-reduced electromagnetic loss distribution data;

[0097] A calculation unit 704 is configured to repeatedly calculate the dimension-reduced electromagnetic loss distribution data of the GIS device at at least two temperatures, and establish a dimension-reduced electromagnetic loss database based on the dimension-reduced electromagnetic loss distribution data corresponding to all temperatures.

[0098] A mapping unit 705 is configured to send the geometric structure parameter information of the GIS device to a preset multi-physical simulation software for three-dimensional model construction, and map the data in the dimension-reduced electromagnetic loss database to the three-dimensional model of the GIS device to obtain a three-dimensional electromagnetic loss model of the GIS device.

[0099] A coupling unit 706 is configured to input the three-dimensional electromagnetic loss model of the GIS device and the operating environment condition parameters of the GIS device into the multi-physical simulation software for coupling calculation to obtain the temperature field data of the GIS device.

[0100] It should be noted that regarding the system in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0101] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

[0102] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present invention, and all should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A GIS temperature field simulation calculation method based on multi-scale modeling, characterized in that Including: Obtaining the geometric structure parameter information of the GIS device and the operating environment condition parameters of the GIS device; Processing the geometric structure parameter information of the GIS device based on a preset multi-physics simulation software to obtain a two-dimensional electromagnetic loss distribution matrix of the GIS device; Performing dimensionality reduction processing on the two-dimensional electromagnetic loss distribution matrix of the GIS device to obtain the dimensionality-reduced electromagnetic loss distribution data; Repeatedly calculating the dimensionality-reduced electromagnetic loss distribution data of the GIS device at at least two temperatures, and establishing a dimensionality-reduced electromagnetic loss database based on the dimensionality-reduced electromagnetic loss distribution data corresponding to all temperatures; Sending the geometric structure parameter information of the GIS device to a preset multi-physics simulation software for three-dimensional model construction, and mapping the data in the dimensionality-reduced electromagnetic loss database to the three-dimensional model of the GIS device to obtain a three-dimensional electromagnetic loss model of the GIS device; Inputting the three-dimensional electromagnetic loss model of the GIS device and the operating environment condition parameters of the GIS device into the multi-physics simulation software for coupled calculation to obtain the temperature field data of the GIS device.

2. The GIS temperature field simulation calculation method based on multi-scale modeling according to claim 1, characterized in that , The processing the geometric structure parameter information of the GIS device based on a preset multi-physics simulation software to obtain a two-dimensional electromagnetic loss distribution matrix of the GIS device includes: Sending the geometric structure parameter information of the GIS device to a preset multi-physics simulation software for two-dimensional model construction to obtain a two-dimensional model of the GIS device; Determining the corresponding two-dimensional electromagnetic loss distribution matrix of the GIS device based on the two-dimensional model of the GIS device and the multi-physics simulation software.

3. The GIS temperature field simulation calculation method based on multi-scale modeling according to claim 1, characterized in that , Performing dimensionality reduction processing on the two-dimensional electromagnetic loss distribution matrix of the GIS device to obtain the dimensionality-reduced electromagnetic loss distribution data includes: Determining the position coordinates and loss values corresponding to each data point based on the two-dimensional electromagnetic loss distribution matrix of the GIS device; Determining the gradient value corresponding to each data point based on a preset gradient calculation formula, and comparing the gradient value corresponding to each data point with a preset gradient threshold. If the gradient value corresponding to the data point is less than the preset gradient threshold, deleting the loss data corresponding to the data point; If the gradient value corresponding to the data point is greater than or equal to the preset gradient threshold, retaining the loss data corresponding to the data point to obtain the dimensionality-reduced electromagnetic loss distribution data.

4. The GIS temperature field simulation calculation method based on multi-scale modeling according to claim 3, characterized in that , After performing dimensionality reduction processing on the two-dimensional electromagnetic loss distribution matrix of the GIS device to obtain the dimensionality-reduced electromagnetic loss distribution data, it further includes: Calculating the total loss value of the dimensionality-reduced electromagnetic loss distribution data and the total loss value of the electromagnetic loss distribution data before dimensionality reduction respectively based on a preset total loss calculation formula, and the total loss value of the electromagnetic loss distribution data before dimensionality reduction is the total loss value of the electromagnetic loss distribution data corresponding to the two-dimensional electromagnetic loss distribution matrix of the GIS device; Judging whether the error between the total loss value of the dimensionality-reduced electromagnetic loss distribution data and the total loss value of the electromagnetic loss distribution data before dimensionality reduction is greater than a preset threshold. If the error is greater than the preset threshold, increasing the preset threshold according to a preset ratio until the error is less than the preset threshold.

5. The GIS temperature field simulation calculation method based on multi-scale modeling according to claim 1, characterized in that , and map the data in the dimension-reduced electromagnetic loss database to the 3D model of the GIS device to obtain the 3D electromagnetic loss model of the GIS device, including: Determine the axial length and cross-sectional area of the 3D model based on the 3D model of the GIS device; Divide the axial length into a preset number of micro-elements to obtain the length of each micro-element and the total number of micro-elements; Construct the axial direction coordinates of the 3D model based on the axial length of the 3D model, the length of each micro-element, and the total number of micro-elements; Construct a mapping formula for the 3D electromagnetic loss model of the GIS device based on the axial direction coordinates of the 3D model, the length of each micro-element, the axial length of the 3D model, and the cross-sectional area, and map the data in the dimension-reduced electromagnetic loss database to the 3D model of the GIS device based on the mapping formula to obtain the 3D electromagnetic loss model of the GIS device.

6. A GIS temperature field simulation and calculation system based on multi-scale modeling, characterized in that, Including: An acquisition unit for acquiring the geometric structure parameter information of the GIS device and the operating environment condition parameters of the GIS device; A processing unit for processing the geometric structure parameter information of the GIS device based on a preset multi-physics simulation software to obtain a 2D electromagnetic loss distribution matrix of the GIS device; A dimension reduction unit for performing dimension reduction processing on the 2D electromagnetic loss distribution matrix of the GIS device to obtain dimension-reduced electromagnetic loss distribution data; A calculation unit for repeatedly calculating the dimension-reduced electromagnetic loss distribution data of the GIS device at at least two temperatures, and establishing a dimension-reduced electromagnetic loss database based on the dimension-reduced electromagnetic loss distribution data corresponding to all temperatures; A mapping unit for sending the geometric structure parameter information of the GIS device to a preset multi-physics simulation software for 3D model construction, and mapping the data in the dimension-reduced electromagnetic loss database to the 3D model of the GIS device to obtain the 3D electromagnetic loss model of the GIS device; A coupling unit for inputting the 3D electromagnetic loss model of the GIS device and the operating environment condition parameters of the GIS device into the multi-physics simulation software for coupling calculation to obtain the temperature field data of the GIS device.

7. The GIS temperature field simulation calculation system based on multi-scale modeling according to claim 6, characterized in that, The processing unit includes: A first processing sub-unit for sending the geometric structure parameter information of the GIS device to a preset multi-physics simulation software for 2D model construction to obtain a 2D model of the GIS device; A second processing sub-unit for determining the corresponding 2D electromagnetic loss distribution matrix of the GIS device based on the 2D model of the GIS device and the multi-physics simulation software.

8. The GIS temperature field simulation calculation system based on multi-scale modeling according to claim 6, characterized in that, The dimension reduction unit includes: A first dimension reduction sub-unit for determining the position coordinates and loss values corresponding to each data point based on the 2D electromagnetic loss distribution matrix of the GIS device; A second dimension reduction sub-unit for determining the gradient value corresponding to each data point based on a preset gradient calculation formula, and comparing the gradient value corresponding to each data point with a preset gradient threshold. If the gradient value corresponding to the data point is less than the preset gradient threshold, the loss data corresponding to the data point is deleted; A third dimensionality reduction subunit, configured to retain the loss data corresponding to the data point if the gradient value corresponding to the data point is greater than or equal to a preset gradient threshold, so as to obtain the dimensionality-reduced electromagnetic loss distribution data.

9. The GIS temperature field simulation calculation system based on multi-scale modeling according to claim 6, wherein The dimensionality reduction unit further includes: A fourth dimensionality reduction subunit, configured to calculate the total loss value of the dimensionality-reduced electromagnetic loss distribution data and the total loss value of the electromagnetic loss distribution data before dimensionality reduction respectively based on a preset total loss calculation formula, and the total loss value of the electromagnetic loss distribution data before dimensionality reduction is the total loss value of the electromagnetic loss distribution data corresponding to the two-dimensional electromagnetic loss distribution matrix of the GIS device; A fifth dimensionality reduction subunit, configured to determine whether the error between the total loss value of the dimensionality-reduced electromagnetic loss distribution data and the total loss value of the electromagnetic loss distribution data before dimensionality reduction is greater than a preset threshold. If the error is greater than the preset threshold, the preset threshold is increased by a preset ratio until the error is less than the preset threshold.

10. The GIS temperature field simulation calculation system based on multi-scale modeling according to claim 9, wherein, The mapping unit includes: A first mapping subunit, configured to determine the axial length and cross-sectional area of the three-dimensional model based on the three-dimensional model of the GIS device; A second mapping subunit, configured to divide the axial length into a preset number of micro-elements, so as to obtain the length of each micro-element and the total number of micro-elements; A third mapping subunit, configured to construct the axial direction coordinates of the three-dimensional model based on the axial length of the three-dimensional model, the length of each micro-element, and the total number of micro-elements; A fourth mapping subunit, configured to construct a mapping formula of the three-dimensional electromagnetic loss model of the GIS device based on the axial direction coordinates of the three-dimensional model, the length of each micro-element, the axial length of the three-dimensional model, and the cross-sectional area, and map the data in the dimensionality-reduced electromagnetic loss database to the three-dimensional model of the GIS device based on the mapping formula, so as to obtain the three-dimensional electromagnetic loss model of the GIS device.

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