Circuit breaker arc simulation optimization method, system, equipment, medium and product

Abstract

The invention relates to the technical field of circuit breaker arc simulation, and discloses a circuit breaker arc simulation optimization method, system and device, a medium and a product, and the method comprises the steps: responding to a simulation request instruction for a target circuit breaker, constructing an initial simulation model of the target circuit breaker, optimizing the initial simulation model, and obtaining a target simulation model; the method comprises the steps of obtaining initial gas physical property parameters used for simulating a large-current working condition, performing parameter optimization to obtain target gas physical property parameters, performing electric arc simulation by adopting the target gas physical property parameters based on a target simulation model and a preset optimization physical property model to obtain simulation data, and performing solution by adopting the simulation data to obtain a simulation result. Based on a solving result and a preset iteration requirement, determining optimization simulation data of the target circuit breaker; according to the method, three-layer optimization is carried out in the arc simulation process, so that the calculation result of arc simulation is more accurate; the technical problem of how to improve the arc simulation accuracy is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit breaker arc simulation, and in particular to a circuit breaker arc simulation optimization method, system, equipment, medium and product. Background Art

[0002] At present, in the simulation of arcs, the existing arc simulation models all have certain assumptions and their own defects. For example, the Cassie arc model is mainly suitable for the large current arcing period before the current passes through zero, and it is used in low arc resistance and large current occasions, while the Mayr arc model is suitable for the small current period when the current passes through zero, and is more suitable for small current and high arc resistance occasions. Existing arc simulation schemes usually use finite element simulation software to establish magnetohydrodynamics (MHD) arc simulation, coupling multiple physical fields, where the physical fields include one or more of electromagnetic fields, temperature fields, airflow fields, and radiation characteristics. How to establish a mathematical model to describe the dynamic characteristics of the arc has always been an important part of arc theory, and MHD modeling and simulation has become a research topic in SF 6 An effective means of controlling arc physics and characteristics.

[0003] However, the existing magnetohydrodynamic modeling simulation model still has the problem of easy divergence and difficult convergence, resulting in low accuracy of arc simulation under high current conditions. Therefore, an arc simulation optimization solution is urgently needed to solve the problems existing in the existing technology. Summary of the invention

[0004] The present invention provides a circuit breaker arc simulation optimization method, system, equipment, medium and product, which solve the technical problem of how to improve the accuracy of arc simulation.

[0005] A first aspect of the present invention provides a circuit breaker arc simulation optimization method, comprising:

[0006] In response to a simulation request instruction for a target circuit breaker, an initial simulation model of the target circuit breaker is constructed;

[0007] Optimizing the initial simulation model to obtain a target simulation model;

[0008] Obtaining initial gas physical property parameters for simulating high current working conditions and optimizing the parameters to obtain target gas physical property parameters;

[0009] Based on the target simulation model and the preset optimized physical property model, arc simulation is performed using the physical property parameters of the standard gas to obtain simulation data;

[0010] The simulation data is used to perform a solution, and based on the solution result and a preset iteration requirement, the optimized simulation data of the target circuit breaker is determined.

[0011] Optionally, in response to a simulation request instruction for a target circuit breaker, constructing an initial simulation model of the target circuit breaker includes:

[0012] In response to a received simulation request instruction for a target circuit breaker, the simulation request instruction is read to obtain arc extinguishing chamber structural parameters of the target circuit breaker;

[0013] Using the arc extinguishing chamber structural parameters to construct an initial simulation model of the arc extinguishing chamber of the target circuit breaker;

[0014] Wherein, the initial simulation model is a three-dimensional simulation model of the arc extinguishing chamber structure of the target circuit breaker.

[0015] Optionally, the optimizing the initial simulation model to obtain a target simulation model includes:

[0016] Simplifying the initial simulation model according to the volume equivalence principle to obtain an intermediate simulation model;

[0017] Wherein, the intermediate simulation model is a two-dimensional intermediate simulation model of the arc extinguishing chamber structure of the target circuit breaker;

[0018] Dividing the intermediate simulation model into regions to determine arc regions of the intermediate simulation model;

[0019] Wherein, the arc region is the arc region between the moving and static contacts of the target circuit breaker;

[0020] The arc region is meshed and encrypted to obtain a target simulation model with a current injection region.

[0021] Optionally, the obtaining of initial gas physical property parameters for simulating high current working conditions and performing parameter optimization to obtain target gas physical property parameters includes:

[0022] Obtaining initial gas physical property parameters for simulating high current conditions;

[0023] Adding preset arc physical property parameters for arc simulation to the initial gas physical property parameters to obtain intermediate gas physical property parameters;

[0024] An interpolation operation is performed on the intermediate gas physical property parameters to obtain the target gas physical property parameters.

[0025] Optionally, the arc simulation is performed based on the target simulation model and the preset optimized physical property model, using the standard gas physical property parameters to obtain simulation data, including:

[0026] Importing the target simulation model into the fluent software, applying current to the current injection area, and coupling the current injection area after the current is applied with the preset optimized physical property model;

[0027] Wherein, the preset optimized physical property model includes a flow field model, an electric field model, a turbulence model, a radiation model and an ablation model;

[0028] The preset optimized physical property model is input into the fluent software to simulate the target gas physical property parameters under high current conditions to perform arc simulation and obtain simulation data.

[0029] Optionally, the preset iteration requirement includes a preset curve iteration requirement and a preset number of iteration requirements, and the using the simulation data to solve, and determining the optimized simulation data of the target circuit breaker based on the solution result and the preset iteration requirement, includes:

[0030] The simulation data is input into the source term iterative equation in the fluent software, and the source term iterative equation is solved by a solver with preset solution conditions to obtain the residual curve and the number of iterations of the simulation data;

[0031] Determining whether the residual curve meets the preset curve iteration requirement;

[0032] The preset curve iteration requirement is that the residual curve changes regularly and the residual curve is stable without sudden up and down swings or vibrations;

[0033] If the residual curve does not meet the preset curve iteration requirement, the iteration is stopped, and the simulation data currently not meeting the preset curve iteration requirement is output as the optimized simulation data;

[0034] If the residual curve meets the preset curve iteration requirement, then determining whether the number of iterations of the simulation data meets the preset number of iterations requirement;

[0035] Wherein, the preset number of iterations requirement is that the number of iterations reaches a preset iteration stop number threshold;

[0036] If the number of iterations meets the preset number of iterations requirement, the iteration is stopped, and the simulation data currently meeting the preset number of iterations requirement and associated therewith is output as the optimized simulation data.

[0037] A second aspect of the present invention provides a circuit breaker arc simulation optimization system, comprising:

[0038] A response module, used for responding to a simulation request instruction for a target circuit breaker and constructing an initial simulation model of the target circuit breaker;

[0039] A first optimization module, used for optimizing the initial simulation model to obtain a target simulation model;

[0040] The second optimization module is used to obtain initial gas physical property parameters for simulating high current working conditions and optimize the parameters to obtain target gas physical property parameters;

[0041] A third optimization module is used to perform arc simulation based on the target simulation model and the preset optimized physical property model using the physical property parameters of the standard gas to obtain simulation data;

[0042] The optimization simulation module is used to use the simulation data to perform a solution, and determine the optimization simulation data of the target circuit breaker based on the solution result and the preset iteration requirement.

[0043] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the circuit breaker arc simulation optimization method as described in any one of the above items.

[0044] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the circuit breaker arc simulation optimization method as described in any one of the above items.

[0045] A fifth aspect of the present invention provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes the circuit breaker arc simulation optimization method as described in any one of the above items.

[0046] It can be seen from the above technical solutions that the present invention has the following advantages:

[0047] The present invention provides a circuit breaker arc simulation optimization method, system, device, medium and product, including responding to a simulation request instruction for a target circuit breaker, constructing an initial simulation model of the target circuit breaker, optimizing the initial simulation model to obtain a target simulation model, obtaining initial gas property parameters for simulating a large current working condition and optimizing the parameters to obtain target gas property parameters, based on the target simulation model and a preset optimized property model, using standard gas property parameters to perform arc simulation to obtain simulation data, using the simulation data for solving, and determining the optimized simulation data of the target circuit breaker based on the solution result and preset iteration requirements; the present invention performs three-layer optimization in the arc simulation process, so that the calculation result of the arc simulation is more accurate; and solves the technical problem of how to improve the accuracy of arc simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0049] Figure 1 A flowchart of the steps of a circuit breaker arc simulation optimization method provided in Embodiment 1 of the present invention;

[0050] Figure 2 A flowchart of the steps of a circuit breaker arc simulation optimization method provided in the second embodiment of the present invention;

[0051] Figure 3 A schematic diagram of three-layer optimization of arc simulation provided by Embodiment 2 of the present invention;

[0052] Figure 4 A mesh schematic diagram of a two-dimensional intermediate simulation model of a target circuit breaker arc extinguishing chamber structure;

[0053] Figure 5 A schematic diagram of a grid for dividing the arc area into grids;

[0054] Figure 6 A structural block diagram of a circuit breaker arc simulation optimization system provided in Embodiment 3 of the present invention;

[0055] Figure 7 This is a structural block diagram of a computer device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0056] The embodiments of the present invention provide a circuit breaker arc simulation optimization method, system, device, medium and product, which are used to solve the technical problem of how to improve the accuracy of arc simulation.

[0057] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] See also Figure 1 , Figure 1 A flowchart of the steps of a circuit breaker arc simulation optimization method provided in Embodiment 1 of the present invention.

[0059] The present invention provides a circuit breaker arc simulation optimization method, comprising:

[0060] Step 101: In response to a simulation request instruction for a target circuit breaker, an initial simulation model of the target circuit breaker is constructed.

[0061] Simulation request instruction refers to the target SF 6 Request instruction for circuit breaker to perform arc simulation under high current condition.

[0062] The initial simulation model refers to an initial simulation model of the arc extinguishing chamber of the target circuit breaker constructed according to the arc extinguishing chamber structural parameters.

[0063] In this embodiment of the present invention, the response is directed to the target SF 6 The circuit breaker receives a request instruction for arc simulation under high current conditions, reads the simulation request instruction, obtains the arc extinguishing chamber structural parameters of the target circuit breaker, and constructs an initial simulation model of the arc extinguishing chamber of the target circuit breaker according to the arc extinguishing chamber structural parameters.

[0064] Step 102: Optimize the initial simulation model to obtain a target simulation model.

[0065] In the embodiment of the present invention, the initial simulation model is modeled and optimized to obtain an optimized target simulation model.

[0066] It is worth mentioning that in the simulation process, the first level of optimization is performed during the modeling process, and the target simulation model of the optimized target circuit breaker is constructed, which can improve the calculation accuracy of the subsequent arc simulation.

[0067] Step 103: Obtain initial gas physical property parameters for simulating high current conditions and perform parameter optimization to obtain target gas physical property parameters.

[0068] High current conditions refer to the state where the current flowing through the circuit far exceeds the normal operating current due to a short circuit fault or other abnormal conditions. In this condition, the current may reach thousands or even hundreds of thousands of amperes, which is usually several to hundreds of times the normal operating current.

[0069] Gas physical parameters refer to various parameters that describe the physical and chemical properties of gases, which are crucial for understanding and predicting the behavior of gases under different conditions. In the present invention, gas physical parameters include density, temperature, pressure, etc.

[0070] In an embodiment of the present invention, initial gas physical property parameters for simulating high current conditions are obtained and parameter optimization is performed to obtain optimized target gas physical property parameters.

[0071] It is worth mentioning that during the simulation process, the second-level optimization is to optimize the original gas physical property parameters to obtain the optimized target gas physical property parameters, so that the accuracy of the gas physical property parameters used in the subsequent arc simulation is improved. At the same time, the optimized target gas physical property parameters are coordinated with the optimized physical property model of the third layer, so that the optimized target gas physical property parameters are more adapted to the optimized physical property model of the third layer, which can further improve the calculation accuracy of the arc simulation.

[0072] Step 104: Based on the target simulation model and the preset optimized physical property model, arc simulation is performed using standard gas physical property parameters to obtain simulation data.

[0073] The preset optimized physical property model refers to the physical property model pre-selected for arc simulation calculation. Under the assumption of local thermodynamic equilibrium, the behavior of the arc can be mathematically described in a two-dimensional cylindrical polar coordinate system by time averaging. The important physical mechanisms considered are: turbulent Navier-Stokes equation, Ohmic heat, radiation transfer, nozzle ablation and turbulence enhanced mass, momentum and energy transfer. Therefore, by considering the above physical mechanisms, an appropriate physical property model is selected. This makes the results of arc simulation calculation more accurate, thus more in line with the physical process in actual working conditions, and provides guidance and suggestions for actual products.

[0074] In the embodiment of the present invention, based on the target simulation model and the preset optimized physical property model, arc simulation is performed using standard gas physical property parameters to obtain simulation data.

[0075] It is worth mentioning that in the simulation process, the second level of optimization is the selection of physical property models. By considering different physical mechanisms and selecting appropriate physical property models, the calculation accuracy of arc simulation can be further improved.

[0076] Step 105: Use simulation data to perform a solution, and determine optimized simulation data of the target circuit breaker based on the solution result and preset iteration requirements.

[0077] In the embodiment of the present invention, simulation data is used for solving, and based on the solving result and preset iteration requirements, the optimized simulation data of the target circuit breaker that is finally output is determined.

[0078] In the present invention, in response to a simulation request instruction for a target circuit breaker, an initial simulation model of the target circuit breaker is constructed, the initial simulation model is optimized to obtain a target simulation model, initial gas physical property parameters for simulating a large current working condition are obtained and the parameters are optimized to obtain target gas physical property parameters, arc simulation is performed based on the target simulation model and a preset optimized physical property model using standard gas physical property parameters to obtain simulation data, the simulation data is used for solving, and based on the solving result and preset iteration requirements, the optimized simulation data of the target circuit breaker is determined; the present invention performs three-layer optimization in the arc simulation process, so that the calculation result of the arc simulation is more accurate; and solves the technical problem of how to improve the accuracy of arc simulation.

[0079] See also Figure 2-Figure 3 , Figure 2 A flowchart of the steps of a circuit breaker arc simulation optimization method provided in Embodiment 2 of the present invention.

[0080] Figure 3 A schematic diagram of three-layer optimization of arc simulation provided by Embodiment 2 of the present invention;

[0081] The present invention provides a circuit breaker arc simulation optimization method, comprising:

[0082] Step 201: In response to a received simulation request instruction for a target circuit breaker, the simulation request instruction is read to obtain arc extinguishing chamber structural parameters of the target circuit breaker.

[0083] In the embodiment of the present invention, the specific implementation process of step 201 is similar to step 101 and will not be repeated here.

[0084] Step 202: construct an initial simulation model of the arc extinguishing chamber of the target circuit breaker using the arc extinguishing chamber structural parameters.

[0085] It is worth mentioning that the initial simulation model is a three-dimensional simulation model of the arc extinguishing chamber structure of the target circuit breaker.

[0086] In the embodiment of the present invention, the specific implementation process of step 202 is similar to step 101 and will not be repeated here.

[0087] Step 203: Optimize the initial simulation model to obtain a target simulation model.

[0088] Further, step 203 may include the following sub-steps:

[0089] S11. Simplify the initial simulation model according to the volume equivalence principle to obtain an intermediate simulation model; wherein the intermediate simulation model is a two-dimensional intermediate simulation model of the arc extinguishing chamber structure of the target circuit breaker.

[0090] The volume equivalence principle refers to simplifying the complex arc extinguishing chamber structure into a simple structure, such as converting the cylinder of the arc extinguishing chamber under the original three-dimensional structure into a plane structure; by making the volume in space consistent with the volume under the two-dimensional rotation axis symmetry;

[0091] Simplification refers to simplifying the original irregular three-dimensional structure into a general two-dimensional axisymmetric structure.

[0092] It is worth mentioning that in this step, by converting the three-dimensional simulation model into a two-dimensional simulation model, the model can be simplified to reduce complexity, while maintaining the equivalence of key physical quantities of the arc chamber structure (such as volume, mass, energy, etc.) to facilitate more efficient analysis, design and calculation.

[0093] In the embodiment of the present invention, the three-dimensional initial simulation model is simplified according to the volume equivalence principle to obtain a two-dimensional intermediate simulation model.

[0094] S12, dividing the intermediate simulation model into regions to determine the arc region of the intermediate simulation model;

[0095] The arc region is the arc region between the moving and static contacts of the target circuit breaker.

[0096] See also Figure 4 , Figure 4 A mesh schematic diagram of a two-dimensional intermediate simulation model of a target circuit breaker arc extinguishing chamber structure;

[0097] Figure 4 In the figure, 1 represents the solid area, 2 represents the arc area, 3 represents the gas area around the arc, and 4 represents the cylinder area;

[0098] In the embodiment of the present invention, the intermediate simulation model is divided into regions. 6 The arc extinguishing chamber structure of the circuit breaker is divided into a solid area, an arc area, an arc surrounding gas area and a cylinder area, thereby determining the arc area.

[0099] S13, meshing and encrypting the arc area to obtain a target simulation model with a current injection area.

[0100] See also Figure 5 , Figure 5 A schematic diagram of a grid for dividing the arc area into grids;

[0101] In the embodiment of the present invention, since the arc area needs to be monitored in key areas, the arc area needs to be gridded and meshed. The arc area is divided into a current injection area (source region), an arc root area (root region) and an arc column area (main region). The divided areas are encrypted to increase the grid density and refine the grid, so that the encrypted grid can more accurately capture changes in physical quantities such as flow field, stress distribution, and temperature field. In the encrypted current injection area, the calculation accuracy for subsequent arc simulation can be significantly improved, thereby providing more accurate simulation results.

[0102] It is worth mentioning that by simplifying, dividing the area, meshing and encrypting the initial simulation model in turn, the arc core area division is refined according to the functional needs of the arc simulation process, the core area mesh size is shortened and the number of core area meshes is increased, thereby achieving optimization in the modeling process and improving the calculation accuracy of subsequent arc simulation.

[0103] Step 204 : obtaining initial gas physical property parameters for simulating high current conditions and performing parameter optimization to obtain target gas physical property parameters.

[0104] Further, step 204 may include the following sub-steps:

[0105] S21. Obtaining initial gas physical property parameters for simulating high current conditions.

[0106] In an embodiment of the present invention, accurate gas physical property parameters are a prerequisite for establishing a model and performing reliable numerical simulation of the arc, and initial gas physical property parameters are obtained for simulating high current conditions. The initial gas physical property parameters include but are not limited to temperature, pressure, etc.

[0107] S22, adding preset arc property parameters for arc simulation to initial gas property parameters to obtain intermediate gas property parameters.

[0108] In an embodiment of the present invention, under high current conditions, the original gas physical properties are difficult to support arc simulation calculations, limiting the accuracy of the calculation results. Therefore, it is necessary to expand the original initial gas physical properties, and the preset arc physical properties refer to the physical properties required for the subsequent solution of the optimized physical property model. Therefore, it is necessary to supplement the accurate physical property parameter data of the gas under a larger temperature and pressure range, including but not limited to thermodynamic parameters such as density, enthalpy, specific heat, and speed of sound, and transport coefficients such as conductivity, thermal conductivity, viscosity coefficient, and diffusion coefficient, so as to make the subsequent arc simulation calculation results more accurate.

[0109] S23, performing an interpolation operation on the intermediate gas physical property parameters to obtain the target gas physical property parameters.

[0110] In the embodiment of the present invention, the expanded intermediate gas physical property parameters are interpolated to adapt to the SF under high current conditions. 6 Arc simulation requirements make the physical property parameter curve smoother.

[0111] Step 205: Based on the target simulation model and the preset optimized physical property model, arc simulation is performed using standard gas physical property parameters to obtain simulation data.

[0112] Further, step 205 may include the following sub-steps:

[0113] S31. Import the target simulation model into the fluent software, apply current to the current injection area, and couple the current injection area after the current is applied with the preset optimized physical property model.

[0114] Among them, the preset optimized physical property models include flow field model, electric field model, turbulence model, radiation model and ablation model.

[0115] Fluent software refers to a computational fluid dynamics software used to simulate and analyze complex fluid flow problems.

[0116] It should be noted that by importing the target simulation model into the fluent software, applying current to the current injection area, and applying zero potential to the contact side of the circuit breaker, current can be well injected into the tail radial section of the contact side of the circuit breaker, which can solve the defect that traditional simulation software needs to set up corresponding fluid-solid coupling to inject current into the tail radial section of the contact side of the circuit breaker.

[0117] It is worth mentioning that in the embodiment of the present invention, the flow field model includes the mass conservation equation, the energy conservation equation and the momentum conservation equation;

[0118] The mass conservation equation is:

[0119]

[0120] Where t is time, is the fluid density, is the velocity vector of the fluid motion;

[0121] The momentum conservation equation is:

[0122]

[0123] Where p is the gas pressure, τ is the tensor, j is the current density vector, and B is the magnetic flux density.

[0124] The energy conservation equation is:

[0125]

[0126] Where k is thermal conductivity, T is fluid temperature, and E is energy. The intense radiation dissipation caused by the photothermal effect of the arc, is the Joule heat input under the action of current, h is the enthalpy, is the partition function of particle j, is the mass fraction of particle j; is the reaction enthalpy change of particle j, is the mass of particle j, is the enthalpy of particle j, is the fluid velocity vector.

[0127] It should be noted that the arrows in the above formulas are all vectors.

[0128] The electric field model includes the electromagnetic field equations;

[0129] The electromagnetic field equation is:

[0130]

[0131] In the formula, is the magnetic flux density vector, is the current density vector, is the electric field strength vector, is the electric potential, is the conductivity, is the relative magnetic permeability of vacuum; and are the radial and axial components of the magnetic vector potential, and are radial and axial unit vectors respectively, z represents the axial direction, r represents the radial direction, and are the radial and axial current density vectors, respectively.

[0132] It should be noted that the arrows in the above formulas are all vectors.

[0133] It should be noted that turbulence and radiation are one of the important phenomena of high-temperature arc energy transfer during the circuit breaker breaking process, and are an important part of establishing the mathematical model of arc plasma. The radiation model is an important factor affecting the temperature of the arc center area. It is necessary to select reasonable turbulence and radiation models for arc modeling under high current conditions.

[0134] Therefore, for the thermal radiation in the arc simulation process, the present invention adopts the radiation model of the net radiation coefficient as the radiation model of the arc simulation. The net radiation model believes that the energy radiation of the arc is caused by the release of electromagnetic waves due to reactions such as energy level transitions of electrons in particles inside the high-temperature gas. The radiation coefficient is a physical quantity related to temperature, pressure and arc radius.

[0135] The net radiation coefficient of arc plasma consists of three parts: continuous spectrum radiation coefficient (including atomic continuous spectrum and molecular continuous spectrum), atomic linear spectrum radiation coefficient, and molecular band spectrum radiation coefficient. Generally speaking, the temperature at which molecular spectrum radiation appears is relatively low. For the high-temperature arc region, the radiation is mainly composed of continuous spectrum and atomic linear spectrum. The radiation model using the net radiation coefficient is:

[0136]

[0137] Where P rad is the radiation value, ε wc is the energy released by the continuous spectrum, ε j is the total energy emitted by the linear spectrum of particle j, λ i is the wavelength corresponding to the ith reaction, g i is the weight corresponding to the i-th reaction, A i is the transition probability corresponding to the i-th reaction, ε 0 is the discharge constant , c is the speed of light, m e The mass of the electron , e is the charge , k is the Boltzmann constant , T is temperature, n e is the electron number density, h p Planck's constant , n j is the jth particle number density, Z j is the jth particle partition function, ψ is the ith upstream energy.

[0138] It is worth mentioning that the radiation calculation formula of the net radiation model is used in the simulation process To calculate the arc radiation, the part in the brackets is regarded as a whole as the net radiation coefficient. The real-time net radiation coefficient of the specific area is obtained through the existing net radiation coefficient database and the expanded target gas physical parameters, and the radiation value is obtained by substituting it into the formula.

[0139] It should be noted that when the Laval laminar flow model is used for simulation, there is a huge difference between the simulation results and the experimental results, especially in the radial temperature distribution and voltage distribution. This also indirectly proves that turbulence in SF 6The relevant transport mechanisms such as turbulence-enhanced kinetic energy and energy transport need to be considered in the arc model. Therefore, the present invention selects Turbulence Model is used as the turbulence model for arc simulation.

[0140] The turbulence model is:

[0141]

[0142]

[0143] In the formula, represents the gas density, represents the turbulent kinetic energy, represents the lateral displacement, represents the longitudinal displacement, represents the lateral velocity component, represents the molecular viscosity coefficient, represents the turbulent viscosity coefficient, The turbulent Prandtl number represents the turbulent kinetic energy, represents the turbulent kinetic energy term generated by the velocity gradient, represents the turbulent kinetic energy term generated by buoyancy, is the turbulent dissipation rate, represents the turbulent kinetic energy dissipation term generated by the expansion of compressible turbulent waves, Represents a user-defined source item. The turbulent Prandtl number represents the turbulent dissipation rate, represents a constant, represents a constant, represents a constant, Represents a user-defined source item. Indicates time.

[0144] Turbulent viscosity The turbulent kinetic energy k and turbulent dissipation rate ε are calculated based on the turbulence equation:

[0145]

[0146] In the formula, represents the turbulent viscosity, Represents a constant.

[0147] The Prandtl number characterizes the ratio of the kinematic viscosity to the thermal diffusivity, and can also be viewed as the ratio of the momentum transfer and heat transfer rates.

[0148] Turbulent thermal conductivity k t and turbulent kinetic energy k and turbulent Prandtl number The following relationship exists:

[0149]

[0150] In the formula, is the turbulent Prandtl number, represents the specific heat capacity at constant pressure, represents the turbulent thermal conductivity.

[0151] It should be noted that the ablation enthalpy is actually a unified treatment of many physical processes in the whole ablation process including heating, phase change, etc., representing the energy required to produce a unit mass of ablation products. Considering the influencing factors of ablation, the present invention adopts the following ablation model for arc simulation.

[0152] The energy used to ablate the nozzle material can be used to solve the mass flux of the ablation product and the ablation rate. If the effect of heat conduction is ignored, the energy used for ablation Q abl The energy Q radiated outward by the plasma rad The proportion of the dimensionless coefficient f a Indicates; the ablation model is:

[0153]

[0154] In the formula, Γ abl is the ablation rate, f a Q is the ratio of the energy used to ablate the nozzle material to the total radiation energy, rad is the radiation energy flux density of plasma, H is the ablation enthalpy, and PTFE vapor is .

[0155] When the arc heat radiation process is considered using the net radiation coefficient method, 10% of the energy reaching the peripheral space is lost in other forms, so the energy used for ablation is 18% of the total radiation energy, that is, Q abl =0.18Q rad .

[0156] Ablation vapor component transport equation:

[0157] After the arc acts on the nozzle to generate ablation vapor, the PTFE vapor gradually diffuses from the inner wall of the nozzle to the arc extinguishing chamber under the action of the air flow field. The diffusion process of PTFE vapor is characterized by the component transport equation:

[0158]

[0159] In the formula, c m is the mass concentration of ablation vapor, Γ cm is the diffusion coefficient of ablation vapor;

[0160] Ablation rate m ablIt can be obtained based on the ablation enthalpy model. The diffusion coefficient of ablation vapor Γ cm Contains laminar component D l and the turbulent component D t :

[0161]

[0162] Laminar component D l and the turbulent component D t They are obtained by the following formulas respectively, in which only the mass concentration gradient diffusion term which plays a major role is considered in the laminar diffusion process.

[0163]

[0164] Where n is the number of moles of the mixed gas, ρ is the density of the mixed gas, SF 6 The average molar mass of heavy particles in the gas, PTFE is the average molar mass of heavy particles in PTFE vapor, is the diffusion coefficient term caused by mass concentration gradient, μ t is the turbulent viscosity, S ct is the Schmidt number, which is equal to 1.

[0165] In an embodiment of the present invention, the target simulation model is imported into the fluent software, current is applied to the current injection area, and the current injection area after the current is applied is coupled to the preset optimized physical property model. In subsequent simulations, the preset optimized physical property model will participate in the calculation as an energy source term. A model program is written and added as a source term in fluent. Therefore, the preset optimized physical property model is coupled into the current injection area.

[0166] S32. In the fluent software, the preset optimized physical property model is input to simulate the target gas physical property parameters under high current conditions to perform arc simulation and obtain simulation data.

[0167] In an embodiment of the present invention, in the fluent software, the above-mentioned physical property parameters of the target gas used to simulate high current conditions are substituted into the preset optimized physical property model, that is, the equations in the flow field model, electric field model, turbulence model, radiation model and ablation model for arc simulation calculation, so that simulation data after three-layer optimization can be obtained, that is, more accurate results of flow field, electric field, turbulence, radiation and ablation source terms are obtained, thereby improving the convergence of calculations under high currents and the accuracy of calculation results.

[0168] Step 206: Use simulation data to perform a solution, and determine optimized simulation data of the target circuit breaker based on the solution result and preset iteration requirements.

[0169] Further, the preset iteration requirement includes a preset curve iteration requirement and a preset number of iteration requirements, and step 206 may include the following sub-steps:

[0170] S41. Input simulation data into the source term iteration equation in the fluent software, solve the source term iteration equation through a solver with preset solution conditions, and obtain the residual curve and iteration number of the simulation data.

[0171] The source term iteration equation is:

[0172]

[0173] For ease of understanding, Table 1 shows the simulation data and source terms for the input source term iteration equation;

[0174]

[0175] It should be noted that both the laminar viscosity coefficient and the laminar thermal conductivity can be directly obtained from the above-mentioned expanded target gas physical property parameters.

[0176] It is worth mentioning that when solving, it is necessary to set preset solution conditions for the Fluent solver. The preset solution conditions are as follows: set the calculation mode to transient in the Fluent software, set the solver type to pressure-based solver in the Fluent software, define the physical properties of solid and gas materials in the Fluent software, set the source terms for each region in the Fluent software, specify boundary conditions for each boundary of the current injection area in the Fluent software (where the boundary conditions include temperature, velocity and current density), and in the Fluent software, set the dynamic grid to layering to initialize the current injection area; iterate the mass, axial momentum, radial momentum, energy, PTFE vapor concentration and current in the current injection area through iterative equations.

[0177] In an embodiment of the present invention, simulation data is input into the source term iteration equation in the fluent software, and the source term iteration equation is solved by a solver with preset solution conditions to obtain data such as mass, axial momentum, radial momentum, energy, PTFE vapor concentration and current, and then the residual is calculated for the solved data to obtain a residual curve associated with the simulation data, and the number of iterations is recorded. It should be noted that this is a conventional residual calculation and a residual curve drawn according to the residual calculation result, which will not be repeated here.

[0178] S42: Determine whether the residual curve meets the preset curve iteration requirement.

[0179] The preset curve iteration requirement is that the residual curve changes regularly and is stable without sudden up and down swings or vibrations.

[0180] In the embodiment of the present invention, during the iteration process, it is necessary to first monitor whether the residual curve meets the preset curve iteration requirement.

[0181] S43. If the residual curve does not meet the preset curve iteration requirement, the iteration is stopped, and the simulation data currently not meeting the preset curve iteration requirement is output as the optimized simulation data.

[0182] In the embodiment of the present invention, if the residual curve does not meet the preset curve iteration requirement, the iteration is stopped and the current iteration result, that is, the simulation data currently not meeting the preset curve iteration requirement, is output as the optimized simulation data.

[0183] S44, if the residual curve meets the preset curve iteration requirement, determine whether the number of iterations of the simulation data meets the preset number of iterations requirement;

[0184] The preset number of iterations requires that the number of iterations reaches a preset iteration stop number threshold.

[0185] In an embodiment of the present invention, if the residual curve meets the preset curve iteration requirement, it is necessary to further determine whether the number of iterations of the simulation data meets the preset number of iterations requirement. In the present invention, the preset iteration stop number threshold is preferably 250 times.

[0186] S45. If the number of iterations meets the preset number of iterations requirement, the iteration is stopped, and the simulation data currently meeting the preset number of iterations requirement and associated therewith is output as the optimized simulation data.

[0187] In the embodiment of the present invention, if the number of iterations meets the preset number of iterations requirement, the iteration is stopped, and the current iteration result, that is, the simulation data currently associated with the preset number of iterations requirement is output as optimized simulation data.

[0188] Furthermore, step 206 may also include the following sub-steps:

[0189] S46. If the number of iterations does not meet the preset number of iteration requirements, jump to the step of determining whether the residual curve meets the preset curve iteration requirements, until the residual curve does not meet the preset curve iteration requirements or the number of iterations meets the preset number of iteration requirements, then stop the iteration, and output the simulation data associated with the current residual curve not meeting the preset curve iteration requirements as optimized simulation data, or the simulation data associated with the current number of iterations meeting the preset number of iteration requirements as optimized simulation data.

[0190] In an embodiment of the present invention, if the number of iterations does not meet the preset number of iteration requirements, the process jumps to the step of determining whether the residual curve meets the preset curve iteration requirements, until the residual curve does not meet the preset curve iteration requirements or the number of iterations meets the preset number of iteration requirements, then the iteration is stopped, and the simulation data associated with the current residual curve not meeting the preset curve iteration requirements is output as optimized simulation data, or the simulation data associated with the current number of iterations meeting the preset number of iteration requirements is output as optimized simulation data.

[0191] For ease of understanding, the following is an application example:

[0192] Compressed air SF 6 The circuit breaker arc chamber structure is the research object, and the grid division method and grid size at different positions are disclosed. It is also necessary to write corresponding udfs (user-defined-functions), including source term macros, injection current macros, boundary conditions, etc. In addition, it is also necessary to apply the source term iteration equation through user-defined scalar uds, as shown in Table 1. Before iterative calculation, the fluent solver needs to be set, including:

[0193] The calculation method is selected as transient solution (transient);

[0194] Select Pressure Product as the calculation solver;

[0195] Addition and import of solid and gas materials and compilation of UDF;

[0196] Set each area source item;

[0197] Set boundary conditions for each boundary;

[0198] Dynamic mesh settings (layering);

[0199] In the process of iterative calculation, different numbers of iterations and time steps are selected at different times to adjust the convergence. In the initial stage of the arc, a time step of 1e-06s can be used. As time slowly increases, the current will reach its peak value accordingly. At this time, the time step should be reduced to 1e-07s and the number of iterations should be increased to 250.

[0200] During the iterative calculation process, it is necessary to observe the residual curve. When the residual curve changes regularly and the curve is stable without sudden up and down swings or vibrations, it is necessary to determine whether the preset iteration stop number threshold is reached. When it is reached, the current simulation data is output. If it is not reached, the iteration continues.

[0201] During or after the calculation, it is necessary to observe the overall temperature and pressure distribution, electric field distribution, current density, conductivity, etc. In the Fluent software, UDM is set up to store related variables.

[0202] In the present invention, in response to a simulation request instruction for a target circuit breaker, an initial simulation model of the target circuit breaker is constructed, the initial simulation model is optimized to obtain a target simulation model, initial gas physical property parameters for simulating a large current working condition are obtained and the parameters are optimized to obtain target gas physical property parameters, arc simulation is performed based on the target simulation model and a preset optimized physical property model using standard gas physical property parameters to obtain simulation data, the simulation data is used for solving, and based on the solving result and preset iteration requirements, the optimized simulation data of the target circuit breaker is determined; the present invention performs three-layer optimization in the arc simulation process, so that the calculation result of the arc simulation is more accurate; and solves the technical problem of how to improve the accuracy of arc simulation.

[0203] See also Figure 6 , Figure 6 This is a structural block diagram of a circuit breaker arc simulation optimization system provided in Embodiment 3 of the present invention.

[0204] The present invention provides a circuit breaker arc simulation optimization system, comprising:

[0205] A response module 301 is used to respond to a simulation request instruction for a target circuit breaker and construct an initial simulation model of the target circuit breaker;

[0206] A first optimization module 302 is used to optimize the initial simulation model to obtain a target simulation model;

[0207] The second optimization module 303 is used to obtain initial gas physical property parameters for simulating high current working conditions and perform parameter optimization to obtain target gas physical property parameters;

[0208] The third optimization module 304 is used to perform arc simulation based on the target simulation model and the preset optimization physical property model using the standard gas physical property parameters to obtain simulation data;

[0209] The optimization simulation module 305 is used to use the simulation data to perform a solution, and determine the optimization simulation data of the target circuit breaker based on the solution result and the preset iteration requirement.

[0210] Furthermore, the response module 301 includes:

[0211] A simulation request instruction submodule, configured to respond to a received simulation request instruction for a target circuit breaker, read the simulation request instruction, and obtain arc extinguishing chamber structural parameters of the target circuit breaker;

[0212] An initial simulation model submodule, used to construct an initial simulation model of the arc extinguishing chamber of the target circuit breaker using the arc extinguishing chamber structural parameters;

[0213] The initial simulation model is a three-dimensional simulation model of the arc extinguishing chamber structure of the target circuit breaker.

[0214] Furthermore, the first optimization module 302 includes:

[0215] A simplification submodule is used to simplify the initial simulation model according to the volume equivalence principle to obtain an intermediate simulation model;

[0216] Among them, the intermediate simulation model is a two-dimensional intermediate simulation model of the arc extinguishing chamber structure of the target circuit breaker;

[0217] A region division submodule is used to divide the intermediate simulation model into regions and determine the arc region of the intermediate simulation model;

[0218] The arc region is the arc region between the moving and static contacts of the target circuit breaker;

[0219] The meshing and encryption submodule is used to mesh and encrypt the arc area to obtain a target simulation model with a current injection area.

[0220] Furthermore, the second optimization module 303 includes:

[0221] The initial gas physical property parameter submodule is used to obtain the initial gas physical property parameters for simulating high current working conditions;

[0222] An intermediate gas property parameter submodule is used to add preset arc property parameters for arc simulation to initial gas property parameters to obtain intermediate gas property parameters;

[0223] The target gas physical property parameter submodule is used to perform interpolation operations on the intermediate gas physical property parameters to obtain the target gas physical property parameters.

[0224] Furthermore, the third optimization module 304 includes:

[0225] The current submodule is used to import the target simulation model into the fluent software, apply current to the current injection area, and couple the current injection area after the current is applied with the preset optimized physical property model;

[0226] Among them, the preset optimized physical property models include flow field model, electric field model, turbulence model, radiation model and ablation model;

[0227] The arc simulation submodule is used to perform arc simulation on the preset optimized physical property model input in the fluent software to simulate the physical property parameters of the target gas under high current conditions and obtain simulation data.

[0228] Further, the preset iteration requirement includes a preset curve iteration requirement and a preset number of iteration requirements, and the optimization simulation module 305 includes:

[0229] The solution submodule is used to input the simulation data into the source term iteration equation in the fluent software, solve the source term iteration equation through the solver with preset solution conditions, and obtain the residual curve and iteration number of the simulation data;

[0230] The first judgment submodule is used to judge whether the residual curve meets the preset curve iteration requirement;

[0231] The preset curve iteration requirement is that the residual curve changes regularly and the residual curve is stable without sudden up and down swings or vibrations;

[0232] The first processing submodule is used to stop iteration if the residual curve does not meet the preset curve iteration requirement, and output the simulation data currently not meeting the preset curve iteration requirement as the optimized simulation data;

[0233] The second judgment submodule is used to judge whether the number of iterations of the simulation data meets the preset number of iterations if the residual curve meets the preset curve iteration requirement;

[0234] The preset number of iterations is required to be a number of iterations that reaches a preset number of iteration stop thresholds;

[0235] The second processing sub-submodule is used to stop iteration if the number of iterations meets the preset number of iterations requirement, and output the simulation data currently meeting the preset number of iterations requirement as the optimized simulation data.

[0236] In the present invention, in response to a simulation request instruction for a target circuit breaker, an initial simulation model of the target circuit breaker is constructed, the initial simulation model is optimized to obtain a target simulation model, initial gas physical property parameters for simulating a large current working condition are obtained and the parameters are optimized to obtain target gas physical property parameters, arc simulation is performed based on the target simulation model and a preset optimized physical property model using standard gas physical property parameters to obtain simulation data, the simulation data is used for solving, and based on the solving result and preset iteration requirements, the optimized simulation data of the target circuit breaker is determined; the present invention performs three-layer optimization in the arc simulation process, so that the calculation result of the arc simulation is more accurate; and solves the technical problem of how to improve the accuracy of arc simulation.

[0237] See also Figure 7 , Figure 7 This is a structural block diagram of a computer device provided in Embodiment 4 of the present invention.

[0238] An electronic device according to an embodiment of the present invention includes: a memory 401 and a processor 402, wherein the memory 402 stores a computer program; when the computer program is executed by the processor 402, the processor 402 executes the circuit breaker arc simulation optimization method according to any of the above embodiments.

[0239] The memory 401 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk or a ROM. The memory 401 has a storage space 403 for a program code 413 for executing any method step in the above method. For example, the storage space 403 for the program code may include individual program codes 413 for implementing the various steps in the above method, respectively. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. The program code may be compressed, for example, in an appropriate form. When these codes are run by a computing and processing device, the computing and processing device performs the various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. The program code may be compressed, for example, in an appropriate form. When these codes are executed by a computing and processing device, they cause the computing and processing device to execute the various steps in the circuit breaker arc simulation optimization method described above.

[0240] Embodiment 5 of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the circuit breaker arc simulation optimization method as described in any of the above embodiments is implemented.

[0241] Embodiment 6 of the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes a circuit breaker arc simulation optimization method as described in any of the above embodiments.

[0242] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0243] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0244] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0245] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0246] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0247] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A circuit breaker arc simulation optimization method, characterized in that: include: In response to a simulation request instruction for a target circuit breaker, an initial simulation model of the target circuit breaker is constructed; Optimizing the initial simulation model to obtain a target simulation model; Obtaining initial gas physical property parameters for simulating high current working conditions and optimizing the parameters to obtain target gas physical property parameters; Based on the target simulation model and the preset optimized physical property model, arc simulation is performed using the physical property parameters of the standard gas to obtain simulation data; The simulation data is used to perform a solution, and based on the solution result and a preset iteration requirement, the optimized simulation data of the target circuit breaker is determined.

2. The circuit breaker arc simulation optimization method according to claim 1, characterized in that: The step of responding to a simulation request instruction for a target circuit breaker and constructing an initial simulation model of the target circuit breaker includes: In response to a received simulation request instruction for a target circuit breaker, the simulation request instruction is read to obtain arc extinguishing chamber structural parameters of the target circuit breaker; Using the arc extinguishing chamber structural parameters to construct an initial simulation model of the arc extinguishing chamber of the target circuit breaker; Wherein, the initial simulation model is a three-dimensional simulation model of the arc extinguishing chamber structure of the target circuit breaker.

3. The circuit breaker arc simulation optimization method according to claim 1, characterized in that: The step of optimizing the initial simulation model to obtain a target simulation model includes: Simplifying the initial simulation model according to the volume equivalence principle to obtain an intermediate simulation model; Wherein, the intermediate simulation model is a two-dimensional intermediate simulation model of the arc extinguishing chamber structure of the target circuit breaker; Dividing the intermediate simulation model into regions to determine arc regions of the intermediate simulation model; Wherein, the arc region is the arc region between the moving and static contacts of the target circuit breaker; The arc region is meshed and encrypted to obtain a target simulation model with a current injection region.

4. The circuit breaker arc simulation optimization method according to claim 1, characterized in that: The obtaining of initial gas physical property parameters for simulating high current working conditions and performing parameter optimization to obtain target gas physical property parameters includes: Obtaining initial gas physical property parameters for simulating high current conditions; Adding preset arc physical property parameters for arc simulation to the initial gas physical property parameters to obtain intermediate gas physical property parameters; An interpolation operation is performed on the intermediate gas physical property parameters to obtain the target gas physical property parameters.

5. The circuit breaker arc simulation optimization method according to claim 1, characterized in that: The arc simulation is performed based on the target simulation model and the preset optimized physical property model using the physical property parameters of the standard gas to obtain simulation data, including: Importing the target simulation model into the fluent software, applying current to the current injection area, and coupling the current injection area after the current is applied with the preset optimized physical property model; Wherein, the preset optimized physical property model includes a flow field model, an electric field model, a turbulence model, a radiation model and an ablation model; The preset optimized physical property model is input into the fluent software to simulate the target gas physical property parameters under high current conditions to perform arc simulation and obtain simulation data.

6. The circuit breaker arc simulation optimization method according to claim 1, characterized in that: The preset iteration requirement includes a preset curve iteration requirement and a preset number of iteration requirements, and the using the simulation data to solve, and determining the optimized simulation data of the target circuit breaker based on the solution result and the preset iteration requirement, includes: The simulation data is input into the source term iterative equation in the fluent software, and the source term iterative equation is solved by a solver with preset solution conditions to obtain the residual curve and the number of iterations of the simulation data; Determining whether the residual curve meets the preset curve iteration requirement; The preset curve iteration requirement is that the residual curve changes regularly and the residual curve is stable without sudden up and down swings or vibrations; If the residual curve does not meet the preset curve iteration requirement, the iteration is stopped, and the simulation data currently not meeting the preset curve iteration requirement is output as the optimized simulation data; If the residual curve meets the preset curve iteration requirement, then determining whether the number of iterations of the simulation data meets the preset number of iterations requirement; Wherein, the preset number of iterations requirement is that the number of iterations reaches a preset iteration stop number threshold; If the number of iterations meets the preset number of iterations requirement, the iteration is stopped, and the simulation data currently meeting the preset number of iterations requirement and associated therewith is output as the optimized simulation data.

7. A circuit breaker arc simulation optimization system, characterized in that: include: A response module, used for responding to a simulation request instruction for a target circuit breaker and constructing an initial simulation model of the target circuit breaker; A first optimization module, used for optimizing the initial simulation model to obtain a target simulation model; The second optimization module is used to obtain initial gas physical property parameters for simulating high current working conditions and optimize the parameters to obtain target gas physical property parameters; A third optimization module is used to perform arc simulation based on the target simulation model and the preset optimized physical property model using the physical property parameters of the standard gas to obtain simulation data; The optimization simulation module is used to use the simulation data to perform a solution, and determine the optimization simulation data of the target circuit breaker based on the solution result and the preset iteration requirement.

8. An electronic device, characterized in that: It comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the circuit breaker arc simulation optimization method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the circuit breaker arc simulation optimization method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the circuit breaker arc simulation optimization method according to any one of claims 1 to 6.

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