Magnetic fluid simulation optimization method, device, terminal equipment and storage medium based on switch circuit breaker

Abstract

The present invention discloses a magnetic fluid simulation optimization method, apparatus, terminal device, and storage medium based on a switch circuit breaker. The method inputs the acquired operating parameters of the target switch circuit breaker into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker based on the input data and a pre-constructed simulation environment within the platform. Since the pre-constructed simulation environment is generated based on an empirical formula for arc diameter obtained by fitting, and the empirical formula for arc diameter obtained by fitting is obtained by fitting a two-dimensional model of the target switch circuit breaker, the physical properties of the gas in the working environment of the target switch circuit breaker, an arc current sample set, and a magnetic fluid sample set as fitting factors; therefore, by implementing the present application, the accuracy of the magnetic fluid simulation result of the target switch circuit breaker is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of arc magnetic fluid simulation, and in particular to a magnetic fluid simulation optimization method, device, terminal equipment and storage medium based on a switch circuit breaker. Background Art

[0002] In magnetic fluid simulation experiments, the arc diameter when the circuit breaker interrupts the current is a key parameter. However, the academic community has not yet reached a consensus on the theoretical calculation of arc diameter. Through a large number of experimental results, it can be roughly concluded that there is a certain relationship between arc current and arc diameter. In actual engineering applications, different empirical formulas are often used according to different working conditions and different experimental initial conditions to calculate the current diameter through the arc current. However, traditional empirical formulas are mostly functions composed of fixed coefficients, and the slightly better ones only roughly divide the current into small and large current situations, and almost do not consider the influencing factors other than the current, such as background gas and AC frequency. Summary of the Invention

[0003] The present invention provides a magnetic fluid simulation optimization method, device, terminal equipment and storage medium based on a switch circuit breaker. The method can obtain more accurate magnetic fluid simulation results of the target switch circuit breaker and improve the simulation accuracy.

[0004] An embodiment of the present invention provides a magnetic fluid simulation optimization method based on a switch circuit breaker, comprising:

[0005] Obtaining simulation platform control parameters and target switch circuit breaker operating parameters;

[0006] Inputting the acquired data into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker according to the input data and a pre-constructed simulation environment;

[0007] The pre-constructed simulation environment includes an empirical formula for arc diameter obtained by fitting; the empirical formula for arc diameter obtained by fitting is obtained by fitting a two-dimensional model of a target switch circuit breaker, physical parameters of the gas in the working environment of the target switch circuit breaker, an arc current sample set, and a magnetic fluid sample set as fitting factors.

[0008] Furthermore, the construction process of the pre-built simulation environment includes:

[0009] Obtaining a two-dimensional model of the target switch circuit breaker, physical properties of gas in the working environment of the target switch circuit breaker, the arc current sample set, the magnetic fluid sample set, an empirical formula for the initial arc diameter, and a preset arc magnetic fluid model control equation set; wherein the magnetic fluid sample set includes electromagnetic characteristic parameters, fluid dynamic characteristic parameters, and thermal characteristic parameters;

[0010] Importing the physical property parameters, the magnetic fluid sample set, the arc magnetic fluid model control equations, the initial arc diameter empirical formula, and the two-dimensional model into a preset simulation platform to generate an initial simulation environment;

[0011] Inputting the arc current sample set into the initial simulation environment, so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment;

[0012] Among them, when the fitting calculation operation is executed for the first time, the initial arc diameter empirical formula is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment; when the remaining fitting calculation operations are executed, the arc diameter empirical formula obtained by fitting the previous fitting calculation operation is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment.

[0013] Furthermore, the inputting of the arc current sample set into the initial simulation environment so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment, including:

[0014] When the fitting calculation operation is performed for the first time, the arc current sample set is input into the initial simulation environment, so that the simulation platform calculates the first arc diameter corresponding to each arc current in the arc current sample set based on the initial simulation environment and the arc current sample set; an interpolation fitting operation is performed based on the arc current sample set and the first arc diameter to obtain a first arc diameter empirical formula; and based on the first arc diameter empirical formula, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0015] When the fitting calculation operation is not performed for the first time and the fitting calculation operation has not reached the maximum number of iterations, the arc current sample set is input into the simulation environment updated by the previous fitting calculation operation, so that the simulation platform calculates the second arc diameter corresponding to each arc current in the arc current sample set based on the simulation environment updated by the previous fitting calculation operation and the arc current sample set; an interpolation fitting operation is performed according to the arc current sample set and the second arc diameter to obtain an empirical formula for the second arc diameter; and based on the second empirical formula for the arc diameter, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0016] When the fitting calculation operation reaches a maximum number of iterations, the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment.

[0017] Furthermore, the process of determining the two-dimensional model of the target switch circuit breaker includes:

[0018] Acquiring geometrical dimension parameters, material physical parameters, and electrical parameters of the target switch circuit breaker;

[0019] A two-dimensional model of the target switch circuit breaker is constructed according to the geometric size parameters, the material physical parameters, and the electrical parameters using a preset modeling tool.

[0020] An embodiment of the present invention further provides a magnetic fluid simulation optimization device based on a switch circuit breaker, comprising: a parameter acquisition module and a simulation result acquisition module;

[0021] The parameter acquisition module is used to obtain the simulation platform control parameters and the operating parameters of the target switch circuit breaker;

[0022] The simulation result acquisition module is used to input the acquired data into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker according to the input data and the pre-constructed simulation environment;

[0023] The pre-constructed simulation environment includes an empirical formula for arc diameter obtained by fitting; the empirical formula for arc diameter obtained by fitting is obtained by fitting a two-dimensional model of a target switch circuit breaker, physical parameters of the gas in the working environment of the target switch circuit breaker, an arc current sample set, and a magnetic fluid sample set as fitting factors.

[0024] Furthermore, the construction process of the pre-built simulation environment includes:

[0025] Obtaining a two-dimensional model of the target switch circuit breaker, physical properties of gas in the working environment of the target switch circuit breaker, the arc current sample set, the magnetic fluid sample set, an empirical formula for the initial arc diameter, and a preset arc magnetic fluid model control equation set; wherein the magnetic fluid sample set includes electromagnetic characteristic parameters, fluid dynamic characteristic parameters, and thermal characteristic parameters;

[0026] Importing the physical property parameters, the magnetic fluid sample set, the arc magnetic fluid model control equations, the initial arc diameter empirical formula, and the two-dimensional model into a preset simulation platform to generate an initial simulation environment;

[0027] Inputting the arc current sample set into the initial simulation environment, so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment;

[0028] Among them, when the fitting calculation operation is executed for the first time, the initial arc diameter empirical formula is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment; when the remaining fitting calculation operations are executed, the arc diameter empirical formula obtained by fitting the previous fitting calculation operation is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment.

[0029] Furthermore, the inputting of the arc current sample set into the initial simulation environment so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment, including:

[0030] When the fitting calculation operation is performed for the first time, the arc current sample set is input into the initial simulation environment, so that the simulation platform calculates the first arc diameter corresponding to each arc current in the arc current sample set based on the initial simulation environment and the arc current sample set; an interpolation fitting operation is performed based on the arc current sample set and the first arc diameter to obtain a first arc diameter empirical formula; and based on the first arc diameter empirical formula, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0031] When the fitting calculation operation is not performed for the first time and the fitting calculation operation has not reached the maximum number of iterations, the arc current sample set is input into the simulation environment updated by the previous fitting calculation operation, so that the simulation platform calculates the second arc diameter corresponding to each arc current in the arc current sample set based on the simulation environment updated by the previous fitting calculation operation and the arc current sample set; an interpolation fitting operation is performed according to the arc current sample set and the second arc diameter to obtain an empirical formula for the second arc diameter; and based on the second empirical formula for the arc diameter, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0032] When the fitting calculation operation reaches a maximum number of iterations, the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment.

[0033] Furthermore, the process of determining the two-dimensional model of the target switch circuit breaker includes:

[0034] Acquiring geometrical dimension parameters, material physical parameters, and electrical parameters of the target switch circuit breaker;

[0035] A two-dimensional model of the target switch circuit breaker is constructed according to the geometric size parameters, the material physical parameters, and the electrical parameters using a preset modeling tool.

[0036] The present application also provides a terminal device, including:

[0037] one or more processors;

[0038] a memory, coupled to the processor, for storing one or more programs;

[0039] When the one or more programs are executed by the one or more processors, the one or more processors implement the magnetic fluid simulation optimization method based on the switch circuit breaker as described in the above-mentioned embodiment of the invention.

[0040] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the magnetic fluid simulation optimization method based on the switch circuit breaker as described in the above-mentioned embodiment of the invention is implemented.

[0041] The following beneficial effects are achieved by implementing the present invention:

[0042] The present invention provides a magnetic fluid simulation optimization method, apparatus, terminal device, and storage medium based on a switch circuit breaker. The method inputs the acquired operating parameters of a target switch circuit breaker into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker based on the input data and a pre-configured simulation environment within the platform.

[0043] Therefore, by taking multiple factors such as the two-dimensional model of the target switch circuit breaker, the physical properties of the gas in the working environment, the arc current sample set and the magnetic fluid sample set as fitting factors of the arc diameter empirical formula, the arc diameter empirical formula is fitted, and then a simulation environment is constructed based on the fitted arc diameter empirical formula to simulate the target switch circuit breaker. Through multi-dimensional fitting, the formula can more comprehensively reflect the actual situation, thereby improving the accuracy of arc diameter calculation, and effectively solving the problem that traditional empirical formulas mostly use fixed coefficients or only roughly divide the low current and high current situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the implementation. Obviously, the drawings described below are only some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0045] Figure 1 This is a flow chart of a magnetic fluid simulation optimization method based on a switch circuit breaker provided in one embodiment of the present application;

[0046] Figure 2 This is a structural diagram of a magnetic fluid simulation optimization device based on a switch circuit breaker provided in one embodiment of the present application;

[0047] Figure 3 This is a schematic diagram of the structure of a terminal device provided in a certain embodiment of the present application. DETAILED DESCRIPTION

[0048] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions in this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0050] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0051] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0052] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0053] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0054] In the description of the embodiments of the present application, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0055] See also Figure 1 , is a flow chart of a magnetic fluid simulation optimization method based on a switch circuit breaker provided by one embodiment of the present invention, comprising:

[0056] S1. Obtaining simulation platform control parameters and target switch circuit breaker operating parameters;

[0057] Specifically, the simulation platform control parameters include simulation method selection, wherein the optional simulation methods include but are not limited to finite element method, finite difference method, etc.;

[0058] Specifically, the simulation platform control parameters include solver setting parameters, and the solver setting parameters include the type of solver, the number of iterations, etc.;

[0059] Specifically, the operating parameters of the target switch breaker include voltage and current values ​​of the target switch breaker.

[0060] S2. Inputting the acquired data into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker according to the input data and a pre-configured simulation environment;

[0061] The pre-constructed simulation environment includes an empirical formula for arc diameter obtained by fitting; the empirical formula for arc diameter obtained by fitting is obtained by fitting a two-dimensional model of a target switch circuit breaker, physical parameters of a gas in a working environment of the target switch circuit breaker, an arc current sample set, and a magnetic fluid sample set as fitting factors;

[0062] In a preferred embodiment, the process of constructing the pre-built simulation environment includes:

[0063] Obtaining a two-dimensional model of the target switch circuit breaker, physical properties of gas in the working environment of the target switch circuit breaker, the arc current sample set, the magnetic fluid sample set, an empirical formula for the initial arc diameter, and a preset arc magnetic fluid model control equation set; wherein the magnetic fluid sample set includes electromagnetic characteristic parameters, fluid dynamic characteristic parameters, and thermal characteristic parameters;

[0064] Importing the physical property parameters, the magnetic fluid sample set, the arc magnetic fluid model control equations, the initial arc diameter empirical formula, and the two-dimensional model into a preset simulation platform to generate an initial simulation environment;

[0065] Inputting the arc current sample set into the initial simulation environment, so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment;

[0066] wherein, when the fitting calculation operation is performed for the first time, the initial arc diameter empirical formula is replaced with the arc diameter empirical formula obtained by the current fitting calculation operation, and an updated simulation environment is generated; and when the remaining fitting calculation operations are performed, the arc diameter empirical formula obtained by the previous fitting calculation operation is replaced with the arc diameter empirical formula obtained by the current fitting calculation operation, and an updated simulation environment is generated;

[0067] Schematically, the Real Gas Model (RGM) encodes gas property parameter data in arrays and, combined with a linear interpolation algorithm, connects to the unique program interface of the FLUENT software platform to import the gas property parameter data required for calculation. It is a universal method for importing actual gas properties, with no restrictions on the type of physical parameters or the form of functions, and can truly reflect the actual gas properties during the arcing process.

[0068] Specifically, the physical properties of the gas in the working environment of the target switch circuit breaker are input into the real gas model (RGM); then, through the interface between the real gas model (RGM) and the FLUENT software platform, the physical properties of the gas processed by the real gas model are imported into the preset simulation platform FLUENT;

[0069] It should be noted that the physical properties include conductivity, specific heat at constant pressure, viscosity coefficient, enthalpy value, critical breakdown field strength, etc. at different pressures and temperatures;

[0070] Specifically, the arc magnetofluid model control equations are imported into the preset simulation platform FLUENT. The arc magnetofluid model control equations include the mass conservation equation, the axial momentum conservation equation, the radial momentum conservation equation, the energy conservation equation, and the electromagnetic field equation. The specific expressions are as follows:

[0071] The mass conservation equation:

[0072]

[0073] Axial momentum conservation equation;

[0074]

[0075] Radial momentum conservation equation:

[0076]

[0077] Energy conservation equation:

[0078]

[0079] Electromagnetic field equations:

[0080]

[0081] Wherein, z represents the axial direction; r represents the radial direction; θ represents the angular direction; t represents time; ρ represents density; represents the velocity vector; v represents the radial velocity; ω represents the axial velocity; μ l Indicates laminar viscosity; μ t represents turbulent viscosity; q represents the radiation term; k l represents laminar thermal conductivity; k t represents turbulent thermal conductivity; h represents enthalpy; c p represents specific heat at constant pressure; p represents air pressure; σ represents electrical conductivity; φ represents electric potential; B θ represents the angular component of magnetic induction intensity; J z represents the axial current density; J r represents radial current density; μ0 represents vacuum magnetic permeability; Represents a sticky item; represents the viscous diffusion term; m a represents the ablation rate; v a represents the incident velocity of ablation vapor; h a Indicates the ablation vapor enthalpy;

[0082] It should be noted that the unit of time t is s; the unit of density ρ is / kg·m-3; the unit of radial velocity v is m·s-1; the unit of axial velocity ω is m·s-1; the unit of laminar viscosity μ l The unit is kg·m-1·s-1; turbulent viscosity μ t The unit is kg·m-1·s-1; laminar thermal conductivity k l The unit is W·m-1·K-1; turbulent thermal conductivity k t The unit is W·m-1·K-1; the unit of radiation term q is J·m-3; the unit of enthalpy value h is J·kg-1; the specific heat at constant pressure c p The unit is J·kg-1·K-1; the unit of air pressure p is Pa; the unit of electrical conductivity σ is S·m-1; the unit of electric potential φ is V; the angular component of magnetic induction intensity is B θ The unit is T·m-1; axial current density J z The unit is A·m-2; radial current density J r The unit is A·m-2; the unit of vacuum magnetic permeability μ0 is H·m-1; the ablation rate m a The unit is kg·s-1; the ablation vapor incident velocity v a The unit is m·s-1; the enthalpy of ablation vapor is h a The unit is J·kg-1;

[0083] In a preferred embodiment, the process of determining the two-dimensional model of the target switch circuit breaker includes:

[0084] Acquiring geometrical dimension parameters, material physical parameters, and electrical parameters of the target switch circuit breaker;

[0085] Constructing a two-dimensional model of the target switch circuit breaker using a preset modeling tool according to the geometric dimension parameters, the material physical parameters, and the electrical parameters;

[0086] Specifically, the geometric dimension parameters, material physical parameters and electrical parameters of the target switch circuit breaker are input into the DesignModeler software, and a two-dimensional model of the target switch circuit breaker is established in the DesignModeler software. Then, the established two-dimensional model of the target switch circuit breaker is imported into the preset simulation platform FLUENT.

[0087] Specifically, the empirical formula for the initial arc diameter adopts the empirical formula of traditional SF6 gas, and the specific expression is shown in formula (7):

[0088] d=x / (1.7π×10 8 ); (7)

[0089] Specifically, the magnetic fluid sample set includes electromagnetic characteristic parameters, fluid dynamic characteristic parameters, and thermal characteristic parameters; the electromagnetic characteristic parameters include electrical conductivity, electric potential, angular component of magnetic induction intensity, axial current density, radial current density, and vacuum permeability; the fluid dynamic characteristic parameters include axial, radial, angular, time, density, air pressure, velocity vector, radial velocity, axial velocity, laminar viscosity, turbulent viscosity, ablation rate, and ablation vapor incidence velocity; the thermal characteristic parameters include radiation term, laminar thermal conductivity, turbulent thermal conductivity, enthalpy value, constant-pressure specific heat, and ablation vapor enthalpy value;

[0090] Thus, the two-dimensional model of the target switch circuit breaker, the physical properties of the gas in the working environment of the target switch circuit breaker, the magnetic fluid sample set, the initial arc diameter empirical formula, and the preset arc magnetic fluid model control equations are imported into the preset simulation platform FLUENT to generate an initial simulation environment;

[0091] Inputting the arc current sample set into the initial simulation environment, so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment;

[0092] In a preferred embodiment, inputting the arc current sample set into the initial simulation environment so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment, includes:

[0093] When the fitting calculation operation is performed for the first time, the arc current sample set is input into the initial simulation environment, so that the simulation platform calculates the first arc diameter corresponding to each arc current in the arc current sample set based on the initial simulation environment and the arc current sample set; an interpolation fitting operation is performed based on the arc current sample set and the first arc diameter to obtain a first arc diameter empirical formula; and based on the first arc diameter empirical formula, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0094] When the fitting calculation operation is not performed for the first time and the fitting calculation operation has not reached the maximum number of iterations, the arc current sample set is input into the simulation environment updated by the previous fitting calculation operation, so that the simulation platform calculates the second arc diameter corresponding to each arc current in the arc current sample set based on the simulation environment updated by the previous fitting calculation operation and the arc current sample set; an interpolation fitting operation is performed according to the arc current sample set and the second arc diameter to obtain an empirical formula for the second arc diameter; and based on the second empirical formula for the arc diameter, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0095] When the fitting calculation operation reaches a maximum number of iterations, the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment;

[0096] Specifically, for each fitting calculation operation, the FLUENT simulation platform needs to be run for 10ms, that is, the simulation of this fitting calculation operation ends after the arc is basically stable;

[0097] When the fitting calculation operation is performed for the first time, after the simulation is completed, n+1 groups of arc diameters d are extracted from the simulation data. i And the corresponding arc current x i , the Lagrange interpolation method is used to fit the empirical formula of the first arc diameter. The specific calculation formula is as follows:

[0098]

[0099] Where: d i Indicates the arc diameter in mm; x i Indicates arc current, unit is A;

[0100] Then, based on the fitted first arc diameter empirical formula, the physical property parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0101] Similarly, when the fitting calculation operation is not performed for the first time and the fitting calculation operation has not reached the maximum number of iterations, after the simulation is completed, n+1 groups of arc diameters d are extracted from the simulation data. i And the corresponding arc current x i , the Lagrange interpolation method is used to fit the empirical formula of the second arc diameter. The specific calculation formula is the same as formula (8)-formula (9):

[0102] Then, based on the fitted second arc diameter empirical formula, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equations, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0103] When the fitting calculation operation reaches a maximum number of iterations, the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment;

[0104] Preferably, the maximum number of iterations is set to 20 times.

[0105] See Figure 2 , is a magnetic fluid simulation optimization device based on a switch circuit breaker provided by an embodiment of the present invention, comprising: a parameter acquisition module and a simulation result acquisition module;

[0106] The parameter acquisition module is used to obtain the simulation platform control parameters and the operating parameters of the target switch circuit breaker;

[0107] The simulation result acquisition module is used to input the acquired data into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker according to the input data and the pre-constructed simulation environment;

[0108] The pre-constructed simulation environment includes an empirical formula for arc diameter obtained by fitting; the empirical formula for arc diameter obtained by fitting is obtained by fitting a two-dimensional model of a target switch circuit breaker, physical parameters of the gas in the working environment of the target switch circuit breaker, an arc current sample set, and a magnetic fluid sample set as fitting factors.

[0109] In a preferred embodiment, the process of constructing the pre-built simulation environment includes:

[0110] Obtaining a two-dimensional model of the target switch circuit breaker, physical properties of gas in the working environment of the target switch circuit breaker, the arc current sample set, the magnetic fluid sample set, an empirical formula for the initial arc diameter, and a preset arc magnetic fluid model control equation set; wherein the magnetic fluid sample set includes electromagnetic characteristic parameters, fluid dynamic characteristic parameters, and thermal characteristic parameters;

[0111] Importing the physical property parameters, the magnetic fluid sample set, the arc magnetic fluid model control equations, the initial arc diameter empirical formula, and the two-dimensional model into a preset simulation platform to generate an initial simulation environment;

[0112] Inputting the arc current sample set into the initial simulation environment, so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment;

[0113] Among them, when the fitting calculation operation is executed for the first time, the initial arc diameter empirical formula is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment; when the remaining fitting calculation operations are executed, the arc diameter empirical formula obtained by fitting the previous fitting calculation operation is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment.

[0114] In a preferred embodiment, inputting the arc current sample set into the initial simulation environment so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment, includes:

[0115] When the fitting calculation operation is performed for the first time, the arc current sample set is input into the initial simulation environment, so that the simulation platform calculates the first arc diameter corresponding to each arc current in the arc current sample set based on the initial simulation environment and the arc current sample set; an interpolation fitting operation is performed based on the arc current sample set and the first arc diameter to obtain a first arc diameter empirical formula; and based on the first arc diameter empirical formula, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0116] When the fitting calculation operation is not performed for the first time and the fitting calculation operation has not reached the maximum number of iterations, the arc current sample set is input into the simulation environment updated by the previous fitting calculation operation, so that the simulation platform calculates the second arc diameter corresponding to each arc current in the arc current sample set based on the simulation environment updated by the previous fitting calculation operation and the arc current sample set; an interpolation fitting operation is performed according to the arc current sample set and the second arc diameter to obtain an empirical formula for the second arc diameter; and based on the second empirical formula for the arc diameter, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated;

[0117] When the fitting calculation operation reaches a maximum number of iterations, the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment.

[0118] In a preferred embodiment, the process of determining the two-dimensional model of the target switch circuit breaker includes:

[0119] Acquiring geometrical dimension parameters, material physical parameters, and electrical parameters of the target switch circuit breaker;

[0120] A two-dimensional model of the target switch circuit breaker is constructed according to the geometric size parameters, the material physical parameters, and the electrical parameters using a preset modeling tool.

[0121] See also Figure 3 , an embodiment of the present application further provides a terminal device, including:

[0122] one or more processors;

[0123] a memory, coupled to the processor, for storing one or more programs;

[0124] When the one or more programs are executed by the one or more processors, the one or more processors implement the magnetic fluid simulation optimization method based on the switch circuit breaker as described above.

[0125] The processor is used to control the overall operation of the terminal device to complete all or part of the steps of the above-mentioned magnetic fluid simulation optimization method based on the switch circuit breaker. The memory is used to store various types of data to support the operation of the terminal device. These data may include, for example, instructions for any application or method used to operate on the terminal device, as well as application-related data. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0126] In an exemplary embodiment, the terminal device can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to execute the magnetic fluid simulation optimization method based on the switch circuit breaker as described in any of the above embodiments, and achieve the same technical effect as the above method.

[0127] In another exemplary embodiment, a computer-readable storage medium including a computer program is further provided. When executed by a processor, the computer program implements the steps of the magnetic fluid simulation optimization method for a switch circuit breaker as described in any of the aforementioned embodiments. For example, the computer-readable storage medium may be the aforementioned memory including the computer program. The computer program may be executed by a processor of a terminal device to perform the magnetic fluid simulation optimization method for a switch circuit breaker as described in any of the aforementioned embodiments, and achieve the same technical effects as the aforementioned methods.

[0128] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A magnetic fluid simulation optimization method based on a switch circuit breaker, characterized in that: include: Obtaining simulation platform control parameters and target switch circuit breaker operating parameters; Inputting the acquired data into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker according to the input data and a pre-constructed simulation environment; The pre-constructed simulation environment includes an empirical formula for arc diameter obtained by fitting; the empirical formula for arc diameter obtained by fitting is obtained by fitting a two-dimensional model of a target switch circuit breaker, physical parameters of a gas in a working environment of the target switch circuit breaker, an arc current sample set, and a magnetic fluid sample set as fitting factors; and the construction process of the pre-constructed simulation environment includes: Obtaining a two-dimensional model of the target switch circuit breaker, physical properties of gas in the working environment of the target switch circuit breaker, the arc current sample set, the magnetic fluid sample set, an empirical formula for the initial arc diameter, and a preset arc magnetic fluid model control equation set; wherein the magnetic fluid sample set includes electromagnetic characteristic parameters, fluid dynamic characteristic parameters, and thermal characteristic parameters; Importing the physical property parameters, the magnetic fluid sample set, the arc magnetic fluid model control equations, the initial arc diameter empirical formula, and the two-dimensional model into a preset simulation platform to generate an initial simulation environment; Inputting the arc current sample set into the initial simulation environment, so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment; Among them, when the fitting calculation operation is executed for the first time, the initial arc diameter empirical formula is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment; when the remaining fitting calculation operations are executed, the arc diameter empirical formula obtained by fitting the previous fitting calculation operation is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment.

2. The magnetic fluid simulation optimization method based on the switch circuit breaker according to claim 1, characterized in that: Inputting the arc current sample set into the initial simulation environment so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated after the last fitting calculation operation as the pre-constructed simulation environment, includes: When the fitting calculation operation is performed for the first time, the arc current sample set is input into the initial simulation environment, so that the simulation platform calculates the first arc diameter corresponding to each arc current in the arc current sample set based on the initial simulation environment and the arc current sample set; an interpolation fitting operation is performed based on the arc current sample set and the first arc diameter to obtain a first arc diameter empirical formula; and based on the first arc diameter empirical formula, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated; When the fitting calculation operation is not performed for the first time and the fitting calculation operation has not reached the maximum number of iterations, the arc current sample set is input into the simulation environment updated by the previous fitting calculation operation, so that the simulation platform calculates the second arc diameter corresponding to each arc current in the arc current sample set based on the simulation environment updated by the previous fitting calculation operation and the arc current sample set; an interpolation fitting operation is performed according to the arc current sample set and the second arc diameter to obtain an empirical formula for the second arc diameter; and based on the second empirical formula for the arc diameter, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated; When the fitting calculation operation reaches a maximum number of iterations, the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment.

3. The magnetic fluid simulation optimization method based on a switch circuit breaker according to claim 1, characterized in that: The process of determining the two-dimensional model of the target switch circuit breaker includes: Acquiring geometrical dimension parameters, material physical parameters, and electrical parameters of the target switch circuit breaker; A two-dimensional model of the target switch circuit breaker is constructed according to the geometric size parameters, the material physical parameters, and the electrical parameters through a preset modeling tool.

4. A magnetic fluid simulation optimization device based on a switch circuit breaker, characterized in that: include: Parameter acquisition module and simulation result acquisition module; The parameter acquisition module is used to obtain the simulation platform control parameters and the operating parameters of the target switch circuit breaker; The simulation result acquisition module is used to input the acquired data into a preset simulation platform, so that the simulation platform generates a magnetic fluid simulation result of the target switch circuit breaker according to the input data and a pre-configured simulation environment; The pre-constructed simulation environment includes an empirical formula for arc diameter obtained by fitting; the empirical formula for arc diameter obtained by fitting is obtained by fitting a two-dimensional model of a target switch circuit breaker, physical parameters of a gas in a working environment of the target switch circuit breaker, an arc current sample set, and a magnetic fluid sample set as fitting factors; and the construction process of the pre-constructed simulation environment includes: Obtaining a two-dimensional model of the target switch circuit breaker, physical properties of gas in the working environment of the target switch circuit breaker, the arc current sample set, the magnetic fluid sample set, an empirical formula for the initial arc diameter, and a preset arc magnetic fluid model control equation set; wherein the magnetic fluid sample set includes electromagnetic characteristic parameters, fluid dynamic characteristic parameters, and thermal characteristic parameters; Importing the physical property parameters, the magnetic fluid sample set, the arc magnetic fluid model control equations, the initial arc diameter empirical formula, and the two-dimensional model into a preset simulation platform to generate an initial simulation environment; Inputting the arc current sample set into the initial simulation environment, so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated by the last fitting calculation operation as the pre-constructed simulation environment; Among them, when the fitting calculation operation is executed for the first time, the initial arc diameter empirical formula is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment; when the remaining fitting calculation operations are executed, the arc diameter empirical formula obtained by fitting the previous fitting calculation operation is replaced by the arc diameter empirical formula obtained by fitting the current fitting calculation operation to generate an updated simulation environment.

5. The magnetic fluid simulation optimization device based on a switch circuit breaker according to claim 4, characterized in that: Inputting the arc current sample set into the initial simulation environment so that the simulation platform repeatedly performs a fitting calculation operation based on the initial simulation environment and the arc current sample set until a maximum number of iterations is reached, and using the simulation environment updated after the last fitting calculation operation as the pre-constructed simulation environment, includes: When the fitting calculation operation is performed for the first time, the arc current sample set is input into the initial simulation environment, so that the simulation platform calculates the first arc diameter corresponding to each arc current in the arc current sample set based on the initial simulation environment and the arc current sample set; an interpolation fitting operation is performed based on the arc current sample set and the first arc diameter to obtain a first arc diameter empirical formula; and based on the first arc diameter empirical formula, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated; When the fitting calculation operation is not performed for the first time and the fitting calculation operation has not reached the maximum number of iterations, the arc current sample set is input into the simulation environment updated by the previous fitting calculation operation, so that the simulation platform calculates the second arc diameter corresponding to each arc current in the arc current sample set based on the simulation environment updated by the previous fitting calculation operation and the arc current sample set; an interpolation fitting operation is performed according to the arc current sample set and the second arc diameter to obtain an empirical formula for the second arc diameter; and based on the second empirical formula for the arc diameter, the physical parameters, the magnetic fluid sample set, the arc magnetic fluid model control equation group, and the two-dimensional model, a simulation environment updated by the current fitting calculation operation is generated; When the fitting calculation operation reaches a maximum number of iterations, the simulation environment updated by the last fitting calculation operation is used as the pre-constructed simulation environment.

6. The magnetic fluid simulation optimization device based on a switch circuit breaker according to claim 4, characterized in that: The process of determining the two-dimensional model of the target switch circuit breaker includes: Acquiring geometrical dimension parameters, material physical parameters, and electrical parameters of the target switch circuit breaker; A two-dimensional model of the target switch circuit breaker is constructed according to the geometric size parameters, the material physical parameters, and the electrical parameters through a preset modeling tool.

7. A terminal device, characterized in that: include: one or more processors; a memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the magnetic fluid simulation optimization method based on the switch circuit breaker as described in any one of claims 1 to 3.

8. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the magnetic fluid simulation optimization method based on a switch circuit breaker according to any one of claims 1 to 3 is implemented.

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