Method for determining multi-physical field distribution of GIS device and related device

Abstract

The application discloses a GIS device multi-physical field distribution determination method and related device, in the process of determining the GIS device internal multi-physical field distribution, through determining the motion condition of metal particles in the GIS device and the mutual influence between the metal particles and multiple physical fields, the accuracy of monitoring the electric field distribution, the thermal field distribution and the force field distribution in the GIS device can be improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method for determining the multi-physical field distribution of GIS equipment and related devices. Background Art

[0002] Gas insulated switchgear (GIS) equipment is a key equipment in high-voltage electrical systems, and its performance directly affects the safe and stable operation of the power system.

[0003] During GIS operation, metal particles within the GIS (possibly introduced through wear, corrosion, welding residue, and other factors) can affect the distribution of multi-physical fields and even degrade insulation performance. Under the influence of a high-voltage electric field, these metal particles are driven by the electric field and gravity, causing them to move within the GIS equipment and potentially trigger corona discharge or partial discharge. These discharges not only damage the insulating medium, degrading insulation performance, but also cause resistance loss and localized heat accumulation, affecting the overall thermodynamic state of the GIS equipment. Furthermore, the conduction and diffusion of heat can cause changes in the internal temperature gradient, triggering thermal expansion effects that affect the mechanical structure and electrical performance of the GIS equipment, thereby reducing the accuracy of GIS monitoring data.

[0004] Therefore, how to improve the accuracy of monitoring the electric field distribution, thermal field distribution and force field distribution inside GIS equipment has become an urgent problem to be solved. Summary of the Invention

[0005] The embodiments of the present application provide a method and related apparatus for determining the multi-physical field distribution of a GIS device, which can improve the accuracy of monitoring the electric field distribution, thermal field distribution, and force field distribution inside the GIS device.

[0006] In a first aspect, the present application provides a method for determining multi-physical field distribution of a GIS device, the method comprising:

[0007] Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database;

[0008] Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0009] Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively, a first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0010] Based on the first displacement vector, the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first model is replaced with the second model to save the second model.

[0011] Based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field, the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles inside the GIS are determined;

[0012] When it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution inside the GIS device, the thermal field distribution results are used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0013] In one embodiment, a first displacement vector of the metal particle is determined based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field and force field, respectively. The method includes: determining the electric field strength and current density inside the GIS device based on the potential boundary conditions and the first model corresponding to the stored electric field; determining the initial temperature distribution inside the GIS based on the current density, electric field strength, temperature boundary conditions and the first model corresponding to the stored thermal field; and determining the first displacement vector of the metal particle based on the initial temperature distribution, structural boundary conditions, force boundary conditions, the motion trajectory of the metal particle and the first model corresponding to the stored force field.

[0014] In one embodiment, the electric field strength and current density inside the GIS device are determined based on the electric potential boundary conditions and the first model corresponding to the stored electric field, including: solving the first model corresponding to the stored electric field based on the electric potential boundary conditions to obtain the electric potential vector inside the GIS device; performing a gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device; and determining the current density inside the GIS device based on the electric field strength and the electric displacement vector.

[0015] In one embodiment, the initial temperature distribution inside the GIS is determined based on the current density, the electric field strength, the temperature boundary conditions, and the first model corresponding to the stored thermal field, including: multiplying the current density and the electric field strength to obtain a heat source vector; based on the heat source vector and the temperature boundary conditions, solving the first model corresponding to the stored thermal field to obtain the initial temperature distribution inside the GIS.

[0016] In one embodiment, a first displacement vector of a metal particle is determined based on an initial temperature distribution, structural boundary conditions, force boundary conditions, and a first model corresponding to a stored force field, including: determining a thermal force vector based on the initial temperature distribution, thermal stress, and thermal expansion; and solving the first model corresponding to the stored force field based on the structural boundary conditions, force boundary conditions, and thermal force vector to obtain the first displacement vector of the metal particle.

[0017] In one embodiment, the method further includes: obtaining a parameter set corresponding to the GIS device, the parameter set including geometric parameters and physical parameters corresponding to the GIS device; the geometric parameters include the geometric dimensions of the GIS components in the GIS device, and the physical parameters include the material properties of the GIS components; based on the parameter set, determining the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particles in the GIS device.

[0018] In a second aspect, the present application provides a device for determining multi-physical field distribution of a GIS device, the device comprising:

[0019] The acquisition module is used to obtain the pre-built physical models corresponding to the electric field, thermal field and force field inside the GIS equipment from the database;

[0020] A processing module is used to discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device, obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0021] a determination module, configured to determine a first displacement vector of the metal particle based on potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and first models corresponding to the stored electric field, thermal field, and force field, respectively; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0022] The processing module is further configured to discretize the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device based on the first displacement vector, obtain second models corresponding to the electric field, thermal field, and force field, respectively, and replace the first model with the second model to save the second model;

[0023] The determination module is further used to determine the electric field distribution result, the thermal field distribution result and the second displacement vector of the metal particles inside the GIS based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field;

[0024] The determination module is also used to use the electric field distribution result as the electric field distribution inside the GIS device, the thermal field distribution result as the thermal field distribution inside the GIS device, and the second displacement vector as the target displacement vector of the metal particles when it is determined that the electric field distribution result and the thermal field distribution result meet the convergence conditions.

[0025] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are performed:

[0026] Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database;

[0027] Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0028] Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively, a first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0029] Based on the first displacement vector, the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first model is replaced with the second model to save the second model.

[0030] Based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field, the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles inside the GIS are determined;

[0031] When it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution inside the GIS device, the thermal field distribution results are used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0032] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0033] Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database;

[0034] Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0035] Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively, a first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0036] Based on the first displacement vector, the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first model is replaced with the second model to save the second model.

[0037] Based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field, the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles inside the GIS are determined;

[0038] When it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution inside the GIS device, the thermal field distribution results are used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0039] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0040] Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database;

[0041] Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0042] Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively, a first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0043] Based on the first displacement vector, the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first model is replaced with the second model to save the second model.

[0044] Based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field, the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles inside the GIS are determined;

[0045] When it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution inside the GIS device, the thermal field distribution results are used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0046] The above-mentioned method for determining the multi-physical field distribution of GIS equipment and related devices obtain the pre-built physical models corresponding to the electric field, thermal field and force field inside the GIS equipment from the database; discretize the obtained physical models corresponding to the electric field, thermal field and force field inside the GIS equipment to obtain the first models corresponding to the electric field, thermal field and force field, and save the first models; based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particles in the GIS equipment, and the first models corresponding to the saved electric field, thermal field and force field, determine the first displacement vector of the metal particles; wherein the potential boundary condition is used to indicate the potential of the metal particles on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particles on the boundary; the structural boundary condition is used to indicate the displacement of the metal particles on the boundary; the force boundary condition is used to indicate the displacement of the metal particles on the boundary. The boundary condition indicates the force exerted by the metal particle on the boundary. Based on the first displacement vector, the pre-constructed physical models corresponding to the electric field, thermal field, and force field within the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The second models are then used to replace the first models and save the second models. Based on the saved second models corresponding to the electric field, thermal field, and force field, the electric field distribution and thermal field distribution results within the GIS device, as well as the second displacement vector of the metal particle, are determined. If the electric field distribution and thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution within the GIS device, the thermal field distribution results are used as the thermal field distribution within the GIS device, and the second displacement vector is used as the target displacement vector of the metal particle. In this way, by determining the multi-physical field distribution within the GIS device, the accuracy of monitoring the electric field distribution, thermal field distribution, and force field distribution within the GIS device can be improved by determining the motion of the metal particles within the GIS device and the interaction between the metal particles and the various physical fields. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0048] Figure 1 This is a schematic diagram of an application scenario of a method for determining multi-physical field distribution of GIS equipment provided in an embodiment of the present application;

[0049] Figure 2 This is a flow chart of a method for determining multi-physical field distribution of GIS equipment provided in an embodiment of the present application;

[0050] Figure 3 This is a flow chart of another method for determining multi-physical field distribution of GIS equipment provided in an embodiment of the present application;

[0051] Figure 4 This is a flow chart of another method for determining multi-physical field distribution of GIS equipment provided in an embodiment of the present application;

[0052] Figure 5 This is a schematic diagram of the structure of a device for determining multi-physical field distribution of a GIS device provided in an embodiment of the present application;

[0053] Figure 6 It is a structural diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0055] The following introduces the application scenarios of the method for determining the multi-physical field distribution of GIS equipment provided in the embodiments of the present application.

[0056] See Figure 1 , see Figure 1 , Figure 1 This is a schematic diagram of an application scenario of a method for determining the multi-physical field distribution of GIS equipment provided in an embodiment of the present application. Figure 1 As shown, the computer device 101 ( Figure 1 In the figure, the computer device 101 is drawn as an example of a terminal device) and the GIS device 102, wherein data can be transmitted between the computer device 101 and the GIS device 102 through the network.

[0057] Among them, the computer device 101 can obtain the pre-built physical models corresponding to the electric field, thermal field and force field inside the GIS device from the database; discretize the physical models corresponding to the electric field, thermal field and force field inside the GIS device to obtain the first models corresponding to the electric field, thermal field and force field, and save the first models; based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particles in the GIS device, and the saved first models corresponding to the electric field, thermal field and force field, determine the first displacement vector of the metal particles; wherein the potential boundary condition is used to indicate the potential of the metal particles on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particles on the boundary; the structural boundary condition is used to indicate the displacement of the metal particles on the boundary; the force boundary condition is used to indicate the displacement of the metal particles on the boundary. The force exerted by the metal particle on the boundary is indicated. Based on the first displacement vector, the pre-constructed physical models corresponding to the electric field, thermal field, and force field within the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first models are replaced with the second models to save the second models. Based on the saved second models corresponding to the electric field, thermal field, and force field, the electric field distribution and thermal field distribution results within the GIS, as well as the second displacement vector of the metal particle, are determined. If the electric field distribution and thermal field distribution results meet convergence conditions, the electric field distribution results are used as the electric field distribution within the GIS device, the thermal field distribution results are used as the thermal field distribution within the GIS device, and the second displacement vector is used as the target displacement vector of the metal particle. In the process of determining the multi-physical field distribution within the GIS device, the accuracy of monitoring the electric field distribution, thermal field distribution, and force field distribution within the GIS device can be improved by determining the motion of the metal particle within the GIS device and the interaction between the metal particle and the multiple physical fields.

[0058] Optionally, the computer device 101 may be a terminal device or a server. The terminal devices mentioned herein may include, but are not limited to, smartphones, tablet computers, laptop computers, desktop computers, smart watches, smart TVs, and smart car terminals. The server mentioned herein may be an independent physical server, or a server cluster or distributed system consisting of multiple physical servers.

[0059] See Figure 2 , Figure 2 1 is a flow chart of a method for determining the multi-physical field distribution of a GIS device provided in an embodiment of the present application. The method can be executed by a computer device (for example, the computer device 101 described above). Figure 2 As shown, the method for determining the multi-physical field distribution of GIS equipment may include but is not limited to the following steps:

[0060] S201. Obtain from a database the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device.

[0061] In an optional embodiment, before step S201, the computer device may construct physical models corresponding to the electric field, thermal field and force field inside the GIS device; and store the constructed physical models corresponding to the electric field, thermal field and force field inside the GIS device in a database.

[0062] S202: Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models.

[0063] In an optional embodiment, a computer device discretizes the physical models corresponding to the electric field, thermal field and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field and force field respectively. This may include: using the finite element method to discretize the physical models corresponding to the electric field, thermal field and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field and force field respectively.

[0064] S203. Determine a first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the saved electric field, thermal field, and force field, respectively.

[0065] Among them, the potential boundary condition is used to indicate the electric potential of the metal particles on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particles on the boundary; the structure boundary condition is used to indicate the displacement of the metal particles on the boundary; and the force boundary condition is used to indicate the force of the metal particles on the boundary.

[0066] In an optional embodiment, the computer device determines the first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the saved electric field, thermal field and force field, respectively, including: determining the electric field strength and current density inside the GIS device based on the potential boundary conditions and the first model corresponding to the saved electric field; determining the initial temperature distribution inside the GIS based on the current density, electric field strength, temperature boundary conditions and the first model corresponding to the saved thermal field; determining the first displacement vector of the metal particle based on the initial temperature distribution, structural boundary conditions, force boundary conditions, the motion trajectory of the metal particle and the first model corresponding to the saved force field.

[0067] S204. Based on the first displacement vector, the physical models corresponding to the electric field, thermal field and force field inside the pre-built GIS device are discretized again to obtain second models corresponding to the electric field, thermal field and force field, respectively, and the first model is replaced by the second model to save the second model.

[0068] In an optional embodiment, the computer device can use the finite element method based on the first displacement vector to further discretize the physical models corresponding to the electric field, thermal field and force field inside the pre-built GIS device, thereby obtaining second models corresponding to the electric field, thermal field and force field.

[0069] S205. Determine the electric field distribution result, thermal field distribution result and the second displacement vector of the metal particles inside the GIS based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field and the second model corresponding to the force field.

[0070] S206. When it is determined that the electric field distribution result and the thermal field distribution result meet the convergence conditions, the electric field distribution result is used as the electric field distribution inside the GIS device, the thermal field distribution result is used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0071] In an optional embodiment, when it is determined that the electric field distribution results and the thermal field distribution results do not meet the convergence conditions, the computer device may, based on the second displacement vector, use the finite element method to discretize the physical models corresponding to the electric field, thermal field and force field inside the pre-constructed GIS device again to obtain third models corresponding to the electric field, thermal field and force field, respectively, and replace the second model with the third model to save the third model; based on the saved third model corresponding to the electric field, the third model corresponding to the thermal field, and the third model corresponding to the force field, determine the electric field distribution results, the thermal field distribution results and the third displacement vector of the metal particles inside the GIS; when it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, use the electric field distribution results as the electric field distribution inside the GIS device, use the thermal field distribution results as the thermal field distribution inside the GIS device, and use the second displacement vector as the target displacement vector of the metal particles.

[0072] It can be understood that the computer equipment discretizes the physical models corresponding to the electric field, thermal field and force field inside the pre-built GIS equipment based on the displacement vector of the metal particles determined last time, and obtains the discretized model corresponding to the electric field, the discretized model corresponding to the thermal field, and the discretized model corresponding to the force field; based on the discretized model corresponding to the electric field, the discretized model corresponding to the thermal field, and the discretized model corresponding to the force field, determining the electric field distribution results, thermal field distribution results and the displacement vector of the metal particles inside the GIS is an iterative process.

[0073] In an embodiment of the present application, a computer device may obtain pre-constructed physical models corresponding to the electric field, thermal field, and force field inside the GIS device from a database; discretize the obtained physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models; determine a first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the saved first models corresponding to the electric field, thermal field, and force field; based on the first displacement vector, the pre-constructed electric field, thermal field, and force field inside the GIS device are generated. The corresponding physical models are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first models are then saved by replacing them with the second models. Based on the saved second models corresponding to the electric field, thermal field, and force field, the electric field distribution, thermal field distribution, and second displacement vector of the metal particle within the GIS are determined. If the electric field distribution and thermal field distribution meet convergence conditions, the electric field distribution is used as the electric field distribution within the GIS device, the thermal field distribution is used as the thermal field distribution within the GIS device, and the second displacement vector is used as the target displacement vector of the metal particle. In the process of determining the distribution of multiple physical fields within the GIS device, the accuracy of monitoring the electric field distribution, thermal field distribution, and force field distribution within the GIS device can be improved by determining the movement of the metal particles within the GIS device and the interaction between the metal particles and the various physical fields.

[0074] See Figure 3 , Figure 3 This is a flow chart of another method for determining the multi-physical field distribution of GIS equipment provided in an embodiment of the present application. Figure 2 The difference between the method for determining the multi-physics distribution of GIS equipment shown is that Figure 3The method also describes how the computer device determines the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particles in the GIS device. Figure 3 As shown, the method for determining the multi-physical field distribution of GIS equipment may include but is not limited to the following steps:

[0075] S301. Obtain a parameter set corresponding to the GIS device, where the parameter set includes geometric parameters and physical parameters corresponding to the GIS device.

[0076] The geometric parameters include the geometric dimensions of the GIS components in the GIS equipment, and the physical parameters include the material properties of the GIS components.

[0077] S302 : Based on the parameter set, determine the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particles in the GIS device.

[0078] Optionally, the potential boundary condition can be the following formula (1).

[0079] (1)

[0080] Equation (1) specifies the potential of a metal particle at the boundary of a GIS device and can be used for electrodes or voltage sources. Where φ represents the potential (V) and φ0 represents the potential value at the boundary.

[0081] Optionally, the temperature boundary condition may be as follows:

[0082] (2)

[0083] Formula (2) specifies the temperature of the metal particles at the boundary of the GIS device and can be used as a heat source or heat sink. Where T represents the temperature and T0 represents the temperature value at the boundary.

[0084] Optionally, the structural boundary condition can be the following formula (3).

[0085] (3)

[0086] Formula (3) specifies the displacement of the metal particle structure on the boundary of the GIS device and can be used to fix the boundary. Where d represents the displacement and d0 represents the displacement value on the boundary.

[0087] Optionally, the force boundary condition can be as follows:

[0088] (4)

[0089] Formula (4) specifies the force or stress of the metal particle structure on the boundary of the GIS device and can be used to load the boundary. In this formula, σ represents the stress tensor and f0 represents the stress value on the boundary.

[0090] S303: Obtain from the database the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device.

[0091] S304: Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models.

[0092] S305. Determine a first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the saved electric field, thermal field, and force field, respectively.

[0093] S306. Based on the first displacement vector, the physical models corresponding to the electric field, thermal field and force field inside the pre-built GIS device are discretized again to obtain second models corresponding to the electric field, thermal field and force field, respectively, and the first model is replaced by the second model to save the second model.

[0094] S307. Determine the electric field distribution result, thermal field distribution result and the second displacement vector of the metal particles inside the GIS based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field and the second model corresponding to the force field.

[0095] S308. When it is determined that the electric field distribution result and the thermal field distribution result meet the convergence conditions, the electric field distribution result is used as the electric field distribution inside the GIS device, the thermal field distribution result is used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0096] In an optional implementation, the relevant descriptions of steps S303 to S308 can be found in the descriptions of steps S201 to S206 above, and will not be repeated here.

[0097] In an embodiment of the present application, a computer device can obtain a parameter set corresponding to a GIS device, including geometric and physical parameters of the GIS device. Based on the parameter set, the computer device can determine the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device. This facilitates the subsequent determination of a first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device.

[0098] See Figure 4 , Figure 4 This is a flow chart of another method for determining the multi-physical field distribution of GIS equipment provided in an embodiment of the present application. Figure 3 The difference between the method for determining the multi-physics distribution of GIS equipment shown is that Figure 4 The method also describes how the computer device constructs physical models corresponding to the electric field, thermal field, and force field inside the GIS device, and how the computer device determines the first displacement vector of the metal particle. Figure 4 As shown, the method for determining the multi-physical field distribution of GIS equipment may include but is not limited to the following steps:

[0099] S401. Obtain a parameter set corresponding to the GIS device, where the parameter set includes geometric parameters and physical parameters corresponding to the GIS device.

[0100] The geometric parameters include the geometric dimensions of the GIS components in the GIS equipment, and the physical parameters include the material properties of the GIS components.

[0101] In an optional embodiment, since the metal particles located on the guide rod and the outer shell will be charged due to conduction or induction, the amount of charge they carry is related to the size of the metal particles and the field strength at the collision position. Therefore, the computer equipment can also determine the charge of the metal particles and determine the force value of the particles.

[0102] Optionally, the shape of the metal particles can be spherical or irregular.

[0103] Optionally, for spherical metal particles, the computer device may use the following formula (5) to determine the charge q1 of the spherical metal particles.

[0104] (5)

[0105] In formula (5), a represents the radius of the metal particle; ε0 represents the dielectric constant in vacuum state; ε t It represents the relative dielectric constant of the gas medium; E is the field strength at the collision position of the metal particles.

[0106] Optionally, for irregular metal particles, the computer device may use the following formula (6) to determine the charge q2 of the irregular metal particles.

[0107] (6)

[0108] In formula (6), a represents the radius of the metal particle; ε0 represents the dielectric constant in vacuum state; ε t It represents the relative dielectric constant of the gas medium; E is the field strength at the collision position of the metal particles.

[0109] Optionally, the computer device may use the following formula (7) to determine the force value of the metal particles.

[0110] (7)

[0111] In formula (7), F D represents the drag force of the fluid on the particle; C D represents the resistance coefficient; ρ g It represents the gas density; d s represents the particle diameter; u g It represents the fluid flow rate; u s It represents the speed of particle movement; F G represents gravity; v represents the volume of the particle; ρ s represents the particle density; g represents the gravitational constant; F E represents the electric field force; k represents the electrostatic force constant; q represents the charge; E represents the electric field strength; F f It represents buoyancy.

[0112] In an optional embodiment, the computer device may also determine the motion trajectory of the metal particles after the collision based on the charge of the metal particles, the law of conservation of momentum, and the law of conservation of energy.

[0113] Optionally, the computer device can use the following formula (8) based on the law of conservation of charge to determine the charge of the metal particle 1 after the collision: Charge after collision with metal particle 2 .

[0114] (8)

[0115] In formula (8), q1 and q2 represent the charge of charged metal particle 1 and charged metal particle 2 before collision, respectively.

[0116] Optionally, the computer device may determine the velocity v1 of the metal particle 1 after the collision and the velocity v2 of the metal particle 2 after the collision using the following formula (9) and formula (10) based on the law of conservation of momentum.

[0117] (9)

[0118] (10)

[0119] In formula (9) and formula (10), m1 and m2 represent the mass of metal particle 1 and the mass of metal particle 2, respectively, and u1 and u2 represent the initial velocity of metal particle 1 and the initial velocity of metal particle 2, respectively.

[0120] After determining the velocity v1 of metal particle 1 after collision and the velocity v2 of metal particle 2 after collision, the computer device can determine the motion trajectory of metal particle 1 based on Newton's second law, that is, the following formula (11); and determine the motion trajectory of metal particle 2 using formula (12).

[0121] (11)

[0122] (12)

[0123] In formula (11) and formula (12), F E1 、F D1 、F G1 、F f1 and F E2 、F D2 、F G2 、F f2 Both can be determined by the above formula (7).

[0124] It is understandable that the computer device can determine the motion trajectory of the metal particles 1 and 2 after the collision based on the above formula.

[0125] S402 : Based on the parameter set, determine the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particles in the GIS device.

[0126] In an optional implementation, the relevant description of step S402 can be found in the description of the aforementioned step S302, which will not be repeated here.

[0127] S403: Construct physical models corresponding to the electric field, thermal field, and force field inside the GIS device, and store the constructed models in a database.

[0128] In an optional embodiment, the physical model corresponding to the electric field inside the GIS device constructed by the computer device can be Maxwell's equations, as shown in the following formula (13).

[0129] (13)

[0130] In formula (13), J represents the conduction current density (A / m 2 ); ρ1 represents the volume charge density (C / m 3 ); γ represents the conductivity (S / m); D represents the electric displacement vector (C / m 2 ), E represents the electric field strength (V / m), and φ represents the electric potential (V).

[0131] Optionally, the computer device may use the above formula (13) to determine the electric field calculation results, namely the current density J and the electric field intensity E.

[0132] In an optional embodiment, the computer device can construct a physical model corresponding to the thermal field inside the GIS device based on the electric field calculation results (current density J and electric field intensity E). The physical model corresponding to the thermal field can be the following formula (14).

[0133] (14)

[0134] In formula (14), ρ2 represents the material density, Cp represents the specific heat capacity, T represents the temperature, k represents the thermal conductivity, and Q represents the heat source term (electromagnetic loss). Q can be expressed as follows (15).

[0135] (15)

[0136] In formula (15), J represents the conduction current density (A / m 2 ); E represents the electric field strength (V / m).

[0137] Optionally, the computer device may determine the thermal field calculation result, i.e., the temperature T, based on the above formula (14) and formula (15).

[0138] In an optional embodiment, the computer device can construct a physical model corresponding to the force field inside the GIS device based on the thermal field calculation results, thermal stress and thermal expansion, and the motion trajectory of the metal particles. The physical model corresponding to the force field can be the following formula (16). The first line of formula (16) is obtained by introducing the stress tensor into the above formula (11) or formula (12).

[0139] (16)

[0140] In formula (16), ρ s represents the particle density; d represents the displacement vector of the particle; t represents time; σ represents the stress tensor; C represents the elastic constant matrix; ε represents the total strain tensor; ε T represents the thermal strain tensor; α represents the thermal expansion coefficient; T represents the temperature; T0 represents the reference temperature; fs represents the force value, which can be determined by the following formula (17).

[0141] (17)

[0142] In formula (17), F D It represents the drag force of the fluid on the particle; FG represents gravity; F E represents the electric field force; F f represents the buoyancy. The computer equipment can use the above formula (7) to determine F D 、F G 、F E and F f .

[0143] S404: Obtain from the database the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device.

[0144] S405 , discretizing the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and saving the first models.

[0145] In an optional embodiment, a computer device discretizes the physical models corresponding to the electric field, thermal field and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field and force field respectively. This may include: using the finite element method to discretize the physical models corresponding to the electric field, thermal field and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field and force field respectively.

[0146] The first model corresponding to the electric field is as follows (18).

[0147] (18)

[0148] In formula (18), C 电容 represents the capacitance matrix; φ t represents the electric potential vector at the tth iteration; φ t-1 represents the electric potential vector at the t-1th iteration; K 电导 represents the conductivity matrix; F 源 Represents the source vector.

[0149] The first model corresponding to the thermal field is as follows (19).

[0150] (19)

[0151] In formula (19), C 热容 represents the heat capacity matrix; T t It represents the temperature vector at the tth iteration; T t-1 Represents the temperature vector at the t-1th iteration; K 导热 represents the thermal conductivity matrix; F 热源represents the heat source vector, where the heat source vector is the same as Q in the above formula (14). It should be noted that in the first iteration, T t-1 , that is, the value of T0 can be determined by the above formula (2).

[0152] The first model corresponding to the force field is as follows (20).

[0153] (20)

[0154] In formula (20), M represents the mass matrix; X t It represents the displacement vector at the tth iteration; X t-1 Represents the displacement vector at the t-1th iteration; K 刚度 represents the stiffness matrix; F thermal represents the thermal vector; fs represents the external load vector, which can be determined by formula (17). It should be noted that in the first iteration, X t-1 , that is, the value of X0 can be determined by the above formula (3), where X0 is d0.

[0155] S406: Determine the electric field strength and current density inside the GIS device based on the electric potential boundary condition and the first model corresponding to the stored electric field.

[0156] In an optional embodiment, the computer device determines the electric field strength and current density inside the GIS device based on the electric potential boundary conditions and the first model corresponding to the stored electric field, which may include: solving the first model corresponding to the stored electric field based on the electric potential boundary conditions to obtain the electric potential vector inside the GIS device; performing a gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device; and determining the current density inside the GIS device based on the electric field strength and the electric displacement vector.

[0157] In this embodiment, the computer device solves the first model corresponding to the stored electric field based on the electric potential boundary condition to obtain the electric potential vector inside the GIS device, which may include: determining the electric potential vector inside the GIS device at the first iteration, i.e., φ1, based on formula (1) and formula (18).

[0158] In this embodiment, the computer device performs a gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device. The fourth row of formula (13) can be used to perform a gradient operation on φ1 to obtain the electric field strength E inside the GIS device at the first iteration.

[0159] In this embodiment, the computer device determines the current density inside the GIS device based on the electric field strength and the electric displacement vector. The current density inside the GIS device at the first iteration can be determined based on the electric field strength E inside the GIS device at the first iteration and the formulas in the second and third rows of formula (13).

[0160] S407: Determine the initial temperature distribution inside the GIS based on the current density, electric field intensity, temperature boundary conditions, and the first model corresponding to the stored thermal field.

[0161] In an optional embodiment, the computer device determines the initial temperature distribution inside the GIS based on the current density, the electric field strength, the temperature boundary condition, and the first model corresponding to the stored thermal field, which may include: multiplying the current density and the electric field strength to obtain a heat source vector; and solving the first model corresponding to the stored thermal field (i.e., Formula (19)) based on the heat source vector and the temperature boundary condition to obtain the initial temperature distribution inside the GIS.

[0162] S408 : Determine a first displacement vector of the metal particle based on the initial temperature distribution, the structural boundary conditions, the force boundary conditions, the motion trajectory of the metal particle, and the first model corresponding to the stored force field.

[0163] In an optional embodiment, a computer device determines a first displacement vector of the metal particle based on the initial temperature distribution, structural boundary conditions, force boundary conditions, the motion trajectory of the metal particle, and a first model corresponding to a saved force field, which may include: determining a thermal vector based on the initial temperature distribution, thermal stress, and thermal expansion; solving the first model corresponding to the saved force field based on the structural boundary conditions, force boundary conditions, and the thermal vector to obtain the first displacement vector of the metal particle.

[0164] In this embodiment, the computer device solves the first model corresponding to the stored force field based on the structural boundary conditions, the force boundary conditions, and the thermal force vector to obtain the first displacement vector of the metal particle, which may include: determining the initial displacement vector X0 based on the structural boundary conditions; determining the external load vector f0 based on the force boundary conditions; and solving the first model corresponding to the stored force field (i.e., formula (20)) based on the thermal force vector, the initial displacement vector X0, and the external load vector f0 to obtain the first displacement vector X1 of the metal particle.

[0165] S409. Based on the first displacement vector, the physical models corresponding to the electric field, thermal field and force field inside the pre-built GIS device are discretized again to obtain second models corresponding to the electric field, thermal field and force field, respectively, and the first model is replaced by the second model to save the second model.

[0166] It should be noted that due to the introduction of the first displacement vector of the metal particles, the capacitance matrix, conductivity matrix and source vector in the second model corresponding to the electric field are different from those in the first model corresponding to the electric field; the heat capacity matrix, thermal conductivity matrix and heat source vector in the second model corresponding to the thermal field are different from those in the first model corresponding to the thermal field; the thermal force vector, external electric load vector, etc. in the second model corresponding to the force field and the first model corresponding to the force field are also different.

[0167] S410. Determine the electric field distribution result, thermal field distribution result, and second displacement vector of the metal particles inside the GIS based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field.

[0168] In an optional implementation, the specific process of step S410 may refer to the processes of steps S406 to S408 above, which will not be repeated here.

[0169] S411. When it is determined that the electric field distribution result and the thermal field distribution result meet the convergence conditions, the electric field distribution result is used as the electric field distribution inside the GIS device, the thermal field distribution result is used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0170] In an optional implementation, the relevant description of step S411 can be found in the description of the aforementioned step S206, which will not be repeated here.

[0171] In an embodiment of the present application, in the process of determining the distribution of multiple physical fields inside the GIS device, by determining the movement of metal particles in the GIS device and the mutual influence between the metal particles and multiple physical fields, the accuracy of monitoring the electric field distribution, thermal field distribution and force field distribution inside the GIS device can be improved.

[0172] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0173] Based on the same inventive concept, embodiments of the present application also provide a GIS device multi-physics field distribution determination apparatus for implementing the aforementioned method for determining multi-physics field distribution in GIS devices. The solution provided by this apparatus is similar to the solution described in the aforementioned method. Therefore, the specific limitations in one or more embodiments of the GIS device multi-physics field distribution determination apparatus provided below can be found in the aforementioned method for determining multi-physics field distribution in GIS devices, and will not be further elaborated here.

[0174] See Figure 5 , Figure 5 This is a schematic diagram of the structure of a device for determining the multi-physical field distribution of a GIS device provided in an embodiment of the present application. Figure 5 As shown, the GIS equipment multi-physical field distribution determination device may include but is not limited to: an acquisition module 501, a processing module 502, and a determination module 503.

[0175] The acquisition module 501 is used to obtain the pre-built physical models corresponding to the electric field, thermal field and force field inside the GIS device from the database;

[0176] Processing module 502 is used to discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device, obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0177] Determination module 503 is used to determine a first displacement vector of the metal particle based on the potential boundary condition, temperature boundary condition, structural boundary condition, and force boundary condition of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively. The potential boundary condition is used to indicate the potential of the metal particle at the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle at the boundary; the structural boundary condition is used to indicate the displacement of the metal particle at the boundary; and the force boundary condition is used to indicate the force of the metal particle at the boundary.

[0178] The processing module 502 is further configured to discretize the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device based on the first displacement vector, obtain second models corresponding to the electric field, thermal field, and force field, respectively, and replace the first model with the second model to save the second model.

[0179] The determination module 503 is further configured to determine the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles within the GIS based on the stored second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field;

[0180] The determination module 503 is also used to use the electric field distribution result as the electric field distribution inside the GIS device, the thermal field distribution result as the thermal field distribution inside the GIS device, and the second displacement vector as the target displacement vector of the metal particles when it is determined that the electric field distribution result and the thermal field distribution result meet the convergence conditions.

[0181] In one embodiment, when the determination module 503 is used to determine the first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the saved electric field, thermal field and force field, it is specifically used to: determine the electric field strength and current density inside the GIS device based on the potential boundary conditions and the first model corresponding to the saved electric field; determine the initial temperature distribution inside the GIS based on the current density, electric field strength, temperature boundary conditions and the first model corresponding to the saved thermal field; determine the first displacement vector of the metal particle based on the initial temperature distribution, structural boundary conditions, force boundary conditions, the motion trajectory of the metal particle and the first model corresponding to the saved force field.

[0182] In one embodiment, when the determination module 503 is used to determine the electric field strength and current density inside the GIS device based on the electric potential boundary conditions and the first model corresponding to the saved electric field, it is specifically used to: solve the first model corresponding to the saved electric field based on the electric potential boundary conditions to obtain the electric potential vector inside the GIS device; perform gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device; and determine the current density inside the GIS device based on the electric field strength and the electric displacement vector.

[0183] In one embodiment, when the determination module 503 is used to determine the initial temperature distribution inside the GIS based on the current density, the electric field strength, the temperature boundary conditions, and the first model corresponding to the saved thermal field, it is specifically used to: multiply the current density and the electric field strength to obtain the heat source vector; based on the heat source vector and the temperature boundary conditions, solve the first model corresponding to the saved thermal field to obtain the initial temperature distribution inside the GIS.

[0184] In one embodiment, when the determination module 503 is used to determine the first displacement vector of the metal particle based on the initial temperature distribution, structural boundary conditions, force boundary conditions and the first model corresponding to the saved force field, it is specifically used to: determine the thermal force vector based on the initial temperature distribution, thermal stress and thermal expansion; solve the first model corresponding to the saved force field based on the structural boundary conditions, force boundary conditions and the thermal force vector to obtain the first displacement vector of the metal particle.

[0185] In one embodiment, the acquisition module 501 is also used to obtain a parameter set corresponding to the GIS device, which includes geometric parameters and physical parameters corresponding to the GIS device; the geometric parameters include the geometric dimensions of the GIS components in the GIS device, and the physical parameters include the material properties of the GIS components; the determination module 503 is also used to determine the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particles in the GIS device based on the parameter set.

[0186] Each module in the aforementioned apparatus for determining the multi-physics field distribution of a GIS device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor in a terminal device in the form of hardware, or may be stored in a memory in the terminal device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0187] In an exemplary embodiment, the present application provides a computer device, which may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for determining the multi-physical field distribution of a GIS device is implemented.

[0188] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0189] In an exemplary embodiment, the present application provides a computer device including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0190] Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database;

[0191] Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0192] Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively, a first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0193] Based on the first displacement vector, the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first model is replaced with the second model to save the second model.

[0194] Based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field, the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles inside the GIS are determined;

[0195] When it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution inside the GIS device, the thermal field distribution results are used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0196] In one embodiment, when a processor executes a computer program to determine the first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the saved electric field, thermal field and force field, the following steps are specifically implemented: based on the potential boundary conditions and the first model corresponding to the saved electric field, the electric field strength and current density inside the GIS device are determined; based on the current density, electric field strength, temperature boundary conditions and the first model corresponding to the saved thermal field, the initial temperature distribution inside the GIS is determined; based on the initial temperature distribution, structural boundary conditions, force boundary conditions, the motion trajectory of the metal particle and the first model corresponding to the saved force field, the first displacement vector of the metal particle is determined.

[0197] In one embodiment, when the processor executes a computer program to implement a first model corresponding to the electric field stored based on the electric potential boundary conditions and the saved electric field, and determines the electric field strength and current density inside the GIS device, the following steps are specifically implemented: solving the first model corresponding to the saved electric field based on the electric potential boundary conditions to obtain the electric potential vector inside the GIS device; performing a gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device; and determining the current density inside the GIS device based on the electric field strength and the electric displacement vector.

[0198] In one embodiment, when a processor executes a computer program to determine the initial temperature distribution inside the GIS based on the current density, the electric field strength, the temperature boundary conditions, and the first model corresponding to the stored thermal field, the following steps are specifically implemented: multiplying the current density and the electric field strength to obtain a heat source vector; and solving the first model corresponding to the stored thermal field based on the heat source vector and the temperature boundary conditions to obtain the initial temperature distribution inside the GIS.

[0199] In one embodiment, when a processor executes a computer program to determine a first displacement vector of a metal particle based on an initial temperature distribution, structural boundary conditions, force boundary conditions, and a first model corresponding to a stored force field, the processor specifically implements the following steps: determining a thermal force vector based on the initial temperature distribution, thermal stress, and thermal expansion; solving the first model corresponding to the stored force field based on the structural boundary conditions, force boundary conditions, and thermal force vector to obtain the first displacement vector of the metal particle.

[0200] In one embodiment, the processor executing the computer program further implements the following steps: obtaining a parameter set corresponding to the GIS device, the parameter set including geometric parameters and physical parameters corresponding to the GIS device; the geometric parameters include the geometric dimensions of the GIS components in the GIS device, and the physical parameters include the material properties of the GIS components; based on the parameter set, determining the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particles in the GIS device.

[0201] In an exemplary embodiment, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the following steps are implemented:

[0202] Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database;

[0203] Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0204] Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively, a first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0205] Based on the first displacement vector, the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first model is replaced with the second model to save the second model.

[0206] Based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field, the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles inside the GIS are determined;

[0207] When it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution inside the GIS device, the thermal field distribution results are used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0208] In one embodiment, a computer program is executed by a processor to determine the first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field and force field, and specifically implement the following steps: determine the electric field strength and current density inside the GIS device based on the potential boundary conditions and the first model corresponding to the stored electric field; determine the initial temperature distribution inside the GIS based on the current density, electric field strength, temperature boundary conditions and the first model corresponding to the stored thermal field; determine the first displacement vector of the metal particle based on the initial temperature distribution, structural boundary conditions, force boundary conditions, the motion trajectory of the metal particle and the first model corresponding to the stored force field.

[0209] In one embodiment, when a computer program is executed by a processor to implement a first model corresponding to the electric field stored based on the electric potential boundary conditions and the stored electric field, and to determine the electric field strength and current density inside the GIS device, the following steps are specifically implemented: solving the first model corresponding to the stored electric field based on the electric potential boundary conditions to obtain the electric potential vector inside the GIS device; performing a gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device; and determining the current density inside the GIS device based on the electric field strength and the electric displacement vector.

[0210] In one embodiment, when a computer program is executed by a processor to determine the initial temperature distribution inside the GIS based on the current density, the electric field strength, the temperature boundary conditions, and the first model corresponding to the stored thermal field, the following steps are specifically implemented: multiplying the current density and the electric field strength to obtain a heat source vector; and solving the first model corresponding to the stored thermal field based on the heat source vector and the temperature boundary conditions to obtain the initial temperature distribution inside the GIS.

[0211] In one embodiment, when a computer program is executed by a processor to determine a first displacement vector of a metal particle based on an initial temperature distribution, structural boundary conditions, force boundary conditions, and a first model corresponding to a stored force field, the computer program specifically implements the following steps: determining a thermal force vector based on the initial temperature distribution, thermal stress, and thermal expansion; solving the first model corresponding to the stored force field based on the structural boundary conditions, force boundary conditions, and thermal force vector to obtain the first displacement vector of the metal particle.

[0212] In one embodiment, the computer program executed by the processor further implements the following steps: obtaining a parameter set corresponding to the GIS device, the parameter set including geometric parameters and physical parameters corresponding to the GIS device; the geometric parameters include the geometric dimensions of the GIS components in the GIS device, and the physical parameters include the material properties of the GIS components; based on the parameter set, determining the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particles in the GIS device.

[0213] In an exemplary embodiment, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the following steps:

[0214] Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database;

[0215] Discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and save the first models;

[0216] Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field, and force field, respectively, a first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary;

[0217] Based on the first displacement vector, the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS device are discretized again to obtain second models corresponding to the electric field, thermal field, and force field, respectively. The first model is replaced with the second model to save the second model.

[0218] Based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field, the electric field distribution result, the thermal field distribution result, and the second displacement vector of the metal particles inside the GIS are determined;

[0219] When it is determined that the electric field distribution results and the thermal field distribution results meet the convergence conditions, the electric field distribution results are used as the electric field distribution inside the GIS device, the thermal field distribution results are used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particles.

[0220] In one embodiment, a computer program is executed by a processor to determine the first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the stored electric field, thermal field and force field, and specifically implement the following steps: determine the electric field strength and current density inside the GIS device based on the potential boundary conditions and the first model corresponding to the stored electric field; determine the initial temperature distribution inside the GIS based on the current density, electric field strength, temperature boundary conditions and the first model corresponding to the stored thermal field; determine the first displacement vector of the metal particle based on the initial temperature distribution, structural boundary conditions, force boundary conditions, the motion trajectory of the metal particle and the first model corresponding to the stored force field.

[0221] In one embodiment, when a computer program is executed by a processor to implement a first model corresponding to the electric field stored based on the electric potential boundary conditions and the stored electric field, and to determine the electric field strength and current density inside the GIS device, the following steps are specifically implemented: solving the first model corresponding to the stored electric field based on the electric potential boundary conditions to obtain the electric potential vector inside the GIS device; performing a gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device; and determining the current density inside the GIS device based on the electric field strength and the electric displacement vector.

[0222] In one embodiment, when a computer program is executed by a processor to determine the initial temperature distribution inside the GIS based on the current density, the electric field strength, the temperature boundary conditions, and the first model corresponding to the stored thermal field, the following steps are specifically implemented: multiplying the current density and the electric field strength to obtain a heat source vector; and solving the first model corresponding to the stored thermal field based on the heat source vector and the temperature boundary conditions to obtain the initial temperature distribution inside the GIS.

[0223] In one embodiment, when a computer program is executed by a processor to determine a first displacement vector of a metal particle based on an initial temperature distribution, structural boundary conditions, force boundary conditions, and a first model corresponding to a stored force field, the computer program specifically implements the following steps: determining a thermal force vector based on the initial temperature distribution, thermal stress, and thermal expansion; solving the first model corresponding to the stored force field based on the structural boundary conditions, force boundary conditions, and thermal force vector to obtain the first displacement vector of the metal particle.

[0224] In one embodiment, the computer program executed by the processor further implements the following steps: obtaining a parameter set corresponding to the GIS device, the parameter set including geometric parameters and physical parameters corresponding to the GIS device; the geometric parameters include the geometric dimensions of the GIS components in the GIS device, and the physical parameters include the material properties of the GIS components; based on the parameter set, determining the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particles in the GIS device.

[0225] It should be noted that the data involved in this application (including but not limited to the geometric parameters and physical parameters corresponding to GIS equipment, etc.) are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0226] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0227] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0228] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for determining multi-physical field distribution of GIS equipment, characterized in that: The method comprises: Obtain the pre-built physical models corresponding to the electric field, thermal field, and force field inside the GIS equipment from the database; Discretizing the physical models corresponding to the electric field, thermal field, and force field inside the GIS device to obtain first models corresponding to the electric field, thermal field, and force field, and saving the first models; Based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the electric field, the thermal field, and the force field, respectively, the first displacement vector of the metal particle is determined; wherein the potential boundary condition is used to indicate the potential of the metal particle on the boundary; the temperature boundary condition is used to indicate the temperature of the metal particle on the boundary; the structural boundary condition is used to indicate the displacement of the metal particle on the boundary; and the force boundary condition is used to indicate the force of the metal particle on the boundary; Based on the first displacement vector, discretizing the pre-built physical models corresponding to the electric field, the thermal field, and the force field inside the GIS device again to obtain second models corresponding to the electric field, the thermal field, and the force field, respectively; and replacing the first model with the second model to save the second model; Determining an electric field distribution result, a thermal field distribution result, and a second displacement vector of the metal particle inside the GIS based on the saved second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field; When it is determined that the electric field distribution result and the thermal field distribution result meet the convergence conditions, the electric field distribution result is used as the electric field distribution inside the GIS device, the thermal field distribution result is used as the thermal field distribution inside the GIS device, and the second displacement vector is used as the target displacement vector of the metal particle.

2. The method according to claim 1, characterized in that The determining of a first displacement vector of the metal particle based on the potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and the first models corresponding to the electric field, the thermal field, and the force field, respectively, is performed, including: Determining the electric field strength and current density inside the GIS device based on the electric potential boundary condition and the saved first model corresponding to the electric field; Determining an initial temperature distribution inside the GIS based on the current density, the electric field strength, the temperature boundary condition, and the saved first model corresponding to the thermal field; A first displacement vector of the metal particle is determined based on the initial temperature distribution, the structural boundary condition, the force boundary condition, the motion trajectory of the metal particle, and the saved first model corresponding to the force field.

3. The method according to claim 2, characterized in that The determining of the electric field strength and current density inside the GIS device based on the electric potential boundary condition and the stored first model corresponding to the electric field includes: Solving the first model corresponding to the stored electric field based on the electric potential boundary condition to obtain an electric potential vector inside the GIS device; Performing a gradient operation on the electric potential vector to obtain the electric field strength inside the GIS device; Based on the electric field strength and the electric displacement vector, the current density inside the GIS device is determined.

4. The method according to claim 2, characterized in that The determining of the initial temperature distribution inside the GIS based on the current density, the electric field intensity, the temperature boundary condition, and the saved first model corresponding to the thermal field includes: performing a multiplication operation on the current density and the electric field intensity to obtain a heat source vector; Based on the heat source vector and the temperature boundary condition, the first model corresponding to the stored thermal field is solved to obtain the initial temperature distribution inside the GIS.

5. The method according to claim 2, characterized in that The determining of the first displacement vector of the metal particle based on the initial temperature distribution, the structural boundary condition, the force boundary condition, and the first model corresponding to the stored force field includes: determining a thermal force vector based on the initial temperature distribution, thermal stress, and thermal expansion; Based on the structural boundary condition, the force boundary condition and the thermal force vector, a first model corresponding to the stored force field is solved to obtain a first displacement vector of the metal particle.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Obtaining a parameter set corresponding to the GIS device, the parameter set including geometric parameters and physical parameters corresponding to the GIS device; the geometric parameters including geometric dimensions of GIS components in the GIS device, and the physical parameters including material properties of the GIS components; Based on the parameter set, the potential boundary conditions, the temperature boundary conditions, the structural boundary conditions, and the force boundary conditions of the metal particles in the GIS device are determined.

7. A device for determining multi-physical field distribution of GIS equipment, characterized in that: The device comprises: The acquisition module is used to obtain the pre-built physical models corresponding to the electric field, thermal field and force field inside the GIS equipment from the database; a processing module, configured to discretize the physical models corresponding to the electric field, thermal field, and force field inside the GIS device, obtain first models corresponding to the electric field, thermal field, and force field, and save the first models; a determination module, configured to determine a first displacement vector of the metal particle based on potential boundary conditions, temperature boundary conditions, structural boundary conditions, and force boundary conditions of the metal particle in the GIS device, and first models corresponding to the stored electric field, thermal field, and force field, respectively; wherein the potential boundary condition is configured to indicate the potential of the metal particle at the boundary; the temperature boundary condition is configured to indicate the temperature of the metal particle at the boundary; the structural boundary condition is configured to indicate the displacement of the metal particle at the boundary; and the force boundary condition is configured to indicate the force of the metal particle at the boundary; The processing module is further configured to discretize the pre-built physical models corresponding to the electric field, the thermal field, and the force field inside the GIS device based on the first displacement vector, obtain second models corresponding to the electric field, the thermal field, and the force field, and replace the first model with the second model to save the second model. The determination module is further configured to determine an electric field distribution result and a thermal field distribution result within the GIS and a second displacement vector of the metal particle based on the stored second model corresponding to the electric field, the second model corresponding to the thermal field, and the second model corresponding to the force field; The determination module is also used to use the electric field distribution result as the electric field distribution inside the GIS device, use the thermal field distribution result as the thermal field distribution inside the GIS device, and use the second displacement vector as the target displacement vector of the metal particles when it is determined that the electric field distribution result and the thermal field distribution result meet the convergence conditions.

8. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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

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

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