Method and device for evaluating arc extinguishing performance of mixed gas, storage medium and related equipment

Abstract

The mixed gas arc extinguishing performance evaluation method, device, storage medium and related equipment provided by the application can first determine the mixed gas to be evaluated, a mixed gas test model, and a plurality of property parameter curves of the mixed gas in a preset temperature range when evaluating the arc extinguishing performance of the mixed gas, then the mixed gas test model can be used to divide the mixed gas into a plurality of calculation domain grids, and initial boundary parameters of each calculation domain grid are obtained, then the initial boundary parameters of each calculation domain grid are iteratively calculated based on the plurality of property parameter curves until the calculation result meets a preset end condition, and finally the arc extinguishing performance of the mixed gas is evaluated after a parameter dynamic change graph is generated according to the calculation result obtained in the iterative calculation process. The application converts the change process of the initial boundary parameters of the mixed gas into a parameter dynamic distribution graph, so that the change law of the parameters can be directly observed to quickly evaluate the arc extinguishing performance of the mixed gas.

Description

Technical Field

[0001] This application relates to the field of power system evaluation technology, and in particular to a method, apparatus, storage medium and related equipment for evaluating the arc extinguishing performance of a mixed gas. Background Technology

[0002] High-voltage switchgear in power systems can be used to cut off or close circuits, thereby ensuring the safe and stable operation of the power system. In high-voltage switchgear, when the circuit is broken, the current interruption will generate an electric arc, which can cause the equipment to burn out and be damaged. To prevent this from happening, power personnel mostly use sulfur hexafluoride gas as an arc-extinguishing gas in high-voltage switchgear.

[0003] However, sulfur hexafluoride (SF6) is a strong greenhouse gas. To reduce SF6 emissions, power engineers typically mix conventional gases with SF6 in different proportions to obtain a gas mixture that can replace SF6 before finding an effective new environmentally friendly gas. Therefore, power engineers need to conduct rapid assessments of the arc-extinguishing performance of a large number of gas mixtures with different proportions. Summary of the Invention

[0004] The purpose of this application is to at least address one of the aforementioned technical deficiencies, particularly the technical deficiency in the prior art where power engineers are unable to quickly assess the arc-extinguishing performance of a large number of mixed gases with different proportions.

[0005] This application provides a method for evaluating the arc-extinguishing performance of a mixed gas, the method comprising:

[0006] The mixture to be evaluated, the test model of the mixture, and the multiple physical property parameter curves of the mixture within a preset temperature range are determined.

[0007] The mixed gas is divided into regions using the mixed gas test model to obtain multiple computational domain grids, and the initial boundary parameters of each computational domain grid are obtained in advance.

[0008] The initial boundary parameters of each computational domain grid are iteratively calculated based on the curves of each physical property parameter until the calculation results meet the preset termination conditions.

[0009] Based on the calculation results obtained by each computational domain grid during the iterative calculation process, a dynamic change diagram of the parameters of the mixed gas is generated, and the arc extinguishing performance of the mixed gas is evaluated according to the dynamic change diagram of the parameters.

[0010] Optionally, determining the multiple physical property parameter curves of the mixed gas within a preset temperature range includes:

[0011] The physical property parameters of each property category of the mixed gas at various temperatures within a preset temperature range are calculated using the local thermodynamic equilibrium theory and interpolation algorithm.

[0012] Based on the physical property parameters of the mixed gas at various temperatures, a physical property parameter curve corresponding to each physical property category of the mixed gas is generated within the preset temperature range.

[0013] Optionally, generating a property parameter curve of the mixed gas corresponding to each property category within the preset temperature range, based on the property parameters of the mixed gas at various temperatures, includes:

[0014] For each property category, a line graph of the property parameters of that property category within the preset temperature range is generated based on the property parameters of that property category at various temperatures.

[0015] By fitting the line graph of the physical property parameters using a regression algorithm, the physical property parameter curves of the mixed gas corresponding to the physical property category within the preset temperature range are obtained.

[0016] Optionally, the initial boundary parameters include the grid temperature; the iterative calculation is to continuously calculate the initial boundary parameters of the mixed gas in units of time steps;

[0017] The iterative calculation of the initial boundary parameters of each computational domain grid based on the physical property parameter curve until the calculation result meets the preset termination condition includes:

[0018] For each computational domain grid, during the computation process at the current time step, the physical property parameters of the mixed gas at the grid temperature are obtained based on the physical property parameter curve;

[0019] The initial boundary parameters and the physical property parameters are calculated using the Navier-Stokes equations, electromagnetic field equations, and turbulence models to obtain intermediate boundary parameters. The intermediate boundary parameters are then determined to satisfy the preset termination conditions, and the determination result is obtained.

[0020] If the judgment result is satisfied, then the intermediate boundary parameter is taken as the final boundary parameter of the computational domain grid, and the iterative calculation is stopped;

[0021] If the judgment result is not satisfied, the intermediate boundary parameter is used as the initial boundary parameter for the next time step, and the calculation of the next time step begins.

[0022] Optionally, determining whether the intermediate boundary parameter satisfies a preset termination condition and obtaining a determination result includes:

[0023] Calculate the residual value between the intermediate boundary parameter of the current time step and the intermediate boundary parameter of the previous time step, and determine whether the residual value is less than a preset threshold.

[0024] If so, the determination result of the intermediate boundary parameter is determined to satisfy the preset termination condition;

[0025] If not, then the determination result of the intermediate boundary parameter is determined to be that the preset termination condition is not met.

[0026] Optionally, generating the dynamic parameter change map of the mixed gas based on the calculation results obtained by each computational domain grid during the iterative calculation process includes:

[0027] Obtain the grid temperature calculated by each computational domain grid at each time step during the iterative calculation process;

[0028] The temperatures of each grid in each time step are sorted, and the highest grid temperature in the sorting result is taken as the gas temperature of the mixed gas in the corresponding time step.

[0029] Based on each time step and the gas temperature corresponding to each time step, a dynamic change diagram of the parameters of the mixed gas is generated.

[0030] Optionally, evaluating the arc-extinguishing performance of the mixed gas based on the dynamic change graph of the parameter includes:

[0031] The gas temperature at each time step in the dynamic change graph of the parameters is compared with the preset temperature threshold to obtain the comparison result;

[0032] The duration for which the gas temperature of the mixed gas is higher than a preset temperature threshold is determined based on the comparison results, and the arc-extinguishing performance of the mixed gas is determined based on the duration.

[0033] This application also provides a mixed gas arc extinguishing performance evaluation device, comprising:

[0034] The gas acquisition module is used to determine the mixed gas to be evaluated, the mixed gas test model, and multiple physical property parameter curves of the mixed gas within a preset temperature range;

[0035] The parameter acquisition module is used to divide the mixed gas into regions using the mixed gas test model, obtain multiple computational domain grids, and acquire the initial boundary parameters of each computational domain grid in advance.

[0036] The iterative calculation module is used to iteratively calculate the initial boundary parameters of each computational domain grid based on the curves of each physical property parameter until the calculation results meet the preset termination conditions.

[0037] The performance evaluation module is used to generate a dynamic parameter change map of the mixed gas based on the calculation results obtained by each computational domain grid during the iterative calculation process, and to evaluate the arc extinguishing performance of the mixed gas according to the dynamic parameter change map.

[0038] This application also provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the mixed gas arc extinguishing performance evaluation method as described in any of the above embodiments.

[0039] This application also provides a computer device, including: one or more processors, and memory;

[0040] The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the mixed gas arc extinguishing performance evaluation method as described in any of the above embodiments.

[0041] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:

[0042] The method, apparatus, storage medium, and related equipment for evaluating the arc-extinguishing performance of mixed gases provided in this application, when evaluating the arc-extinguishing performance of mixed gases, can first determine the mixed gas to be evaluated, the mixed gas test model, and multiple physical property parameter curves of the mixed gas within a preset temperature range. Then, the mixed gas can be divided into regions using the mixed gas test model to obtain multiple computational domain grids, and the initial boundary parameters of each computational domain grid can be obtained in advance. This transforms the mixed gas from a continuous physical space into a discrete computational grid. The initial boundary parameters of each computational domain grid describe the state of the mixed gas at different locations and times. After obtaining each computational domain grid, the state of the mixed gas can be evaluated based on the various physical property parameter curves for each computational domain. The initial boundary parameters of the grid are iteratively calculated until the calculation results meet the preset termination conditions. Here, a distributed computing method is used to distribute the calculation task to each computing domain grid for iterative calculation, thereby reducing the amount of computation and improving the efficiency and accuracy of the calculation. Finally, based on the calculation results obtained by each computing domain grid in the iterative calculation process, a dynamic change map of the parameters of the mixed gas can be generated, and the arc extinguishing performance of the mixed gas can be evaluated according to the dynamic change map of the parameters. Here, the calculation results obtained by each computing domain grid in the iterative calculation process can be converted into a continuous dynamic distribution map of the parameters of the mixed gas, so that the change pattern of the parameters in the dynamic distribution map can be viewed intuitively. Therefore, the arc extinguishing performance of the mixed gas can be quickly evaluated. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 A flowchart illustrating a method for evaluating the arc-extinguishing performance of a mixed gas according to an embodiment of this application;

[0045] Figure 2 This is a schematic diagram of the structure of a mixed gas test model provided in an embodiment of this application;

[0046] Figure 3 This is a schematic diagram of the structure of a mixed gas arc extinguishing performance evaluation device provided in an embodiment of this application;

[0047] Figure 4 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0048] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0049] High-voltage switchgear in power systems can be used to cut off or close circuits, thereby ensuring the safe and stable operation of the power system. In high-voltage switchgear, when the circuit is broken, the current interruption will generate an electric arc, which can cause the equipment to burn out and be damaged. To prevent this from happening, power personnel mostly use sulfur hexafluoride gas as an arc-extinguishing gas in high-voltage switchgear.

[0050] However, sulfur hexafluoride (SF6) is a strong greenhouse gas. To reduce SF6 emissions, power engineers typically mix conventional gases with SF6 in different proportions to obtain a gas mixture that can replace SF6 before finding an effective new environmentally friendly gas. Therefore, power engineers need to conduct rapid assessments of the arc-extinguishing performance of a large number of gas mixtures with different proportions.

[0051] Based on this, this application proposes the following technical solution, as detailed below:

[0052] In one embodiment, such as Figure 1 As shown, Figure 1This application provides a flowchart illustrating a method for evaluating the arc-extinguishing performance of a mixed gas, as illustrated in an embodiment of the present application. The method specifically includes the following:

[0053] S110: Determine the gas mixture to be evaluated, the gas mixture test model, and multiple physical property parameter curves of the gas mixture within a preset temperature range.

[0054] In this step, after power personnel configure arc-extinguishing gases with different mixing ratios for the arc-extinguishing chamber of high-voltage switchgear, they need to quickly evaluate the arc-extinguishing performance of the configured arc-extinguishing gases. At this time, the mixed gas to be evaluated and the mixed gas test model used to test the mixed gas can be determined first. Then, multiple physical property parameter curves of the mixed gas in the preset temperature range can be determined as data support for the evaluation of the arc-extinguishing performance of the mixed gas.

[0055] It is understood that the mixed gas in this application can be composed of conventional gas and sulfur hexafluoride gas. Conventional gas here refers to gases that are abundant in the atmosphere and are environmentally friendly, such as dry air, carbon dioxide, and nitrogen. Since nitrogen is the most abundant gas in the atmosphere, it has advantages such as being easy to obtain, non-toxic, non-polluting, having no greenhouse effect, and having good insulation properties. Therefore, power personnel usually choose a mixture of nitrogen and sulfur hexafluoride as the arc-quenching gas. The ratio can be 80% nitrogen and 20% sulfur hexafluoride, 72% nitrogen and 28% sulfur hexafluoride, 60% nitrogen and 40% sulfur hexafluoride, etc., and there are no restrictions here.

[0056] In addition, the mixed gas test model in this application is a simplified structural model of high-voltage switchgear. By evaluating the arc-extinguishing performance of the mixed gas through this model, the calculation speed and efficiency of numerical simulation can be improved, thereby enabling rapid evaluation of the arc-extinguishing performance of the mixed gas.

[0057] Indicatively, such as Figure 2 As shown, Figure 2 This is a schematic diagram of the structure of a mixed gas test model provided in an embodiment of this application. The mixed gas test model provided in this application includes a pressure outlet 1, a first stationary contact 2, a second stationary contact 3, a current inlet 4, and a moving contact 5. The pressure outlet 1 is the part of the mixed gas test model used to control the model switch, and is powered by the mixed gas. The first stationary contact 2 and the second stationary contact 3 are the parts of the mixed gas test model used to receive power input. The current inlet 4 is the part of the mixed gas test model used to receive input, and the moving contact 5 is the part of the mixed gas test model used to cut off the circuit.

[0058] Furthermore, after determining the mixed gas to be evaluated, multiple physical property parameter curves of the mixed gas can be determined within a preset temperature range. The categories of physical property parameters here include, but are not limited to, density, enthalpy, specific heat at constant pressure, speed of sound, thermal conductivity, electrical conductivity, viscosity coefficient, etc. When calculating the physical property parameter curves corresponding to each physical property category, the temperature range required for evaluation can be determined first. For example, the temperature range in this application can be selected within the range of 300k-30000k. After determining the temperature range, the physical property parameter curves for each physical property category can be calculated based on this temperature range.

[0059] S120: The mixed gas is divided into regions using a mixed gas test model to obtain multiple computational domain grids, and the initial boundary parameters of each computational domain grid are obtained in advance.

[0060] In this step, after determining the mixed gas and the mixed gas test model through S110, the mixed gas can be filled into the mixed gas test model, and the physical space where the mixed gas is located in the mixed gas test model is divided into multiple regions. Each region is a computational domain grid. After obtaining multiple computational domain grids, the initial boundary parameters set in advance for each computational domain grid can be obtained.

[0061] It is understandable that transforming the continuous physical space in the mixed gas test model into a discrete computational domain grid allows the computational task to be distributed among various computational domain grids for numerical solution, thereby improving the accuracy and efficiency of numerical simulation. Here, the computational domain grid is a three-dimensional spatial region, the size and shape of which can be determined based on the movement range of the mixed gas and the initial boundary parameters of the mixed gas test model. The initial boundary parameters can be set in advance by power engineers.

[0062] For example, when setting the initial boundary parameters of a mixed gas test model, power engineers can set the initial temperature of the model to 300K, the movement speed of the moving contact 5 to 5m / s, and the initial radial and axial velocities of the airflow field to 0m / s. Furthermore, when filling the mixed gas into the test model, the filling pressure can be 0.4MPa, 0.6MPa, or 0.8MPa, without restriction. Further, in the mixed gas test model, the terminal potential of the moving contact 1 can be set as a first-type boundary (zero potential), and the terminal potential of the stationary contact 2 can be set as a second-type boundary, with a current density applied.

[0063] It should be noted that the first type of boundary refers to the boundary conditions of the known boundary in the numerical simulation. For example, in a mixed gas test model, the boundary conditions of the mixed gas motion can be set by setting the values ​​of physical quantities such as velocity, temperature, and pressure. The second type of boundary refers to the boundary conditions of the unknown boundary in the numerical simulation. For example, in a mixed gas test model, the boundary conditions of the mixed gas motion can be set by setting the gradient of velocity, the gradient of temperature, the gradient of pressure, etc.

[0064] S130: Iteratively calculate the initial boundary parameters of each computational domain grid based on the curves of each physical property parameter until the calculation results meet the preset termination conditions.

[0065] In this step, after obtaining the initial boundary parameters of each computational domain grid through S120, the corresponding parameters in each physical property parameter curve can be obtained based on the initial boundary parameters of each computational domain grid. Iterative calculations can then be performed based on the obtained parameters until the calculation results meet the preset termination conditions, thus obtaining the entire process of mixed gas performance evaluation.

[0066] It is understandable that iterative calculation for each computational domain grid refers to discretizing time into multiple time steps for calculation. Each calculation is to solve for the value within a time step. Since the solution method of the computational domain grid has complex nonlinear and coupling properties, the solution process can be iterated multiple times to obtain a more accurate numerical solution, thereby improving the accuracy and reliability of the flow field distribution.

[0067] S140: Based on the calculation results obtained by each computational domain grid during the iterative calculation process, a dynamic change map of the parameters of the mixed gas is generated, and the arc extinguishing performance of the mixed gas is evaluated according to the dynamic change map of the parameters.

[0068] In this step, after obtaining the calculation results of each computational domain grid during the iterative calculation process through S130, the parameter distribution of each computational domain grid in each time step can be combined to obtain the parameter distribution of the mixed gas in the corresponding time step, thereby generating a dynamic parameter change diagram between the time step and the mixed gas parameters. Finally, the arc extinguishing performance of the mixed gas can be evaluated based on this dynamic parameter change diagram.

[0069] It is understandable that the calculation results obtained by each computational domain grid during the iterative calculation process include multiple parameters, such as density, temperature, and velocity. The dynamic change diagrams of the parameters generated are different depending on the parameters, and the dimensions for evaluating the arc extinguishing performance of the mixed gas are also different. When generating the dynamic change diagram of the parameters, a temperature dynamic change diagram can be generated based on temperature, or a gas field dynamic change diagram can be generated based on density and velocity. Here, the performance of the mixed gas can be evaluated by generating the corresponding dynamic change diagram of the parameters based on the actual application of the mixed gas, without any restrictions.

[0070] In the above embodiments, when evaluating the arc-extinguishing performance of a gas mixture, the gas mixture to be evaluated, the gas mixture test model, and multiple physical property parameter curves of the gas mixture within a preset temperature range can be determined first. Then, the gas mixture can be divided into regions using the gas mixture test model to obtain multiple computational domain grids, and the initial boundary parameters of each computational domain grid can be obtained in advance. This transforms the gas mixture from a continuous physical space into a discrete computational grid. The initial boundary parameters of each computational domain grid describe the state of the gas mixture at different locations and times. After obtaining each computational domain grid, the initial boundary parameters of each computational domain grid can be iterated based on the various physical property parameter curves. The calculation continues until the results meet the preset termination conditions. Here, a distributed computing method is used to distribute the computational task to each computational domain grid for iterative calculation, thereby reducing the amount of computation and improving the efficiency and accuracy of the calculation. Finally, based on the calculation results obtained by each computational domain grid during the iterative calculation process, a dynamic change map of the parameters of the mixed gas can be generated, and the arc extinguishing performance of the mixed gas can be evaluated based on this dynamic change map. Here, the calculation results obtained by each computational domain grid during the iterative calculation process can be converted into a continuous dynamic distribution map of the parameters of the mixed gas, so that the change pattern of the parameters in the dynamic distribution map can be viewed intuitively. Therefore, the arc extinguishing performance of the mixed gas can be quickly evaluated.

[0071] In one embodiment, determining multiple property parameter curves of the mixed gas within a preset temperature range in step S110 may include:

[0072] S111: Calculate the physical property parameters of each property category of the mixed gas at various temperatures within a preset temperature range using the local thermodynamic equilibrium theory and interpolation algorithm.

[0073] S112: Based on the physical property parameters of the mixed gas at various temperatures, generate physical property parameter curves of the mixed gas corresponding to each physical property category within a preset temperature range.

[0074] In this embodiment, after determining the mixed gas, for each property category, the physical property parameters of the mixed gas at various temperatures within a preset temperature range can be calculated using local thermodynamic equilibrium theory and interpolation algorithms. Thus, based on the physical property parameters of the mixed gas at various temperatures, a physical property parameter curve corresponding to the physical property category within the preset temperature range can be generated. The physical categories include, but are not limited to, density, enthalpy, specific heat at constant pressure, speed of sound, thermal conductivity, electrical conductivity, viscosity coefficient, etc.

[0075] Among them, the local thermodynamic equilibrium theory refers to the fact that, on a macroscopic level, a thermodynamic system can be regarded as being in equilibrium at a certain moment and in a certain spatial region, but on a microscopic level, the states of different parts of the system may be different. Therefore, it can be used to obtain the various parameters of a gas mixture. The interpolation method refers to using the function values ​​of known data points to estimate the function values ​​of unknown data points, thereby obtaining the continuous distribution of various parameters within a preset temperature range.

[0076] Understandably, in order to provide basic data for the simulation test of the mixed gas test model, a curve of the mixed gas and its corresponding physical property parameters in a preset temperature range can be generated based on the physical property parameters of the mixed gas at various temperatures. This curve uses each temperature in the preset temperature range as the abscissa and each physical property parameter in the parameter range of the corresponding physical property category as the ordinate. The parameter range of the physical property category can be set according to the parameter variation range of the mixed gas at different temperatures. For example, the parameter range of electrical conductivity can be [0, 14000], the parameter range of thermal conductivity can be [0, 6], and the parameter range of viscosity coefficient can be [1, 0.00025], etc.

[0077] In one embodiment, generating a property parameter curve of the mixed gas corresponding to each property category within a preset temperature range based on the property parameters of the mixed gas at various temperatures in step S112 may include:

[0078] S1121: For each property category, generate a line graph of the property parameters of that property category within a preset temperature range based on the property parameters of that property category at various temperatures.

[0079] S1122: Use a regression algorithm to fit the line graph of the physical property parameters to obtain the curve of the physical property parameters of the mixed gas corresponding to the physical property category in the preset temperature range.

[0080] In this embodiment, when generating the physical property parameter curve corresponding to each physical property category, the physical property parameters of the corresponding physical property category at various temperatures can be determined first. Then, a physical property parameter polygon line is generated based on the physical property parameters at each temperature. Next, this application can use a regression algorithm to fit the physical property parameter polygon line. Of course, this application can use other methods to fit the physical property parameter polygon line, and the specific method can be selected according to the actual situation, without limitation.

[0081] It is understood that the property parameter curve in this application is constructed with each temperature within a preset temperature range as the abscissa and the property parameters of the mixed gas at each temperature within the preset temperature range as the ordinate. When fitting the property parameter curve with a regression algorithm, methods such as least squares method and gradient descent method can be used to obtain a smooth curve to better describe the changing trend of the property parameters within the preset temperature range.

[0082] In one embodiment, the initial boundary parameters in S130 include the grid temperature. The iterative calculation involves continuously calculating the initial boundary parameters of the mixed gas in time steps. Specifically, iteratively calculating the initial boundary parameters of each computational domain grid based on the physical property parameter curves until the calculation results meet a preset termination condition may include:

[0083] S131: For each computational domain grid, during the computation process of the current time step, obtain the physical properties of the mixed gas at the grid temperature based on the physical property parameter curve.

[0084] S132: The initial boundary parameters and physical property parameters are calculated using the Navier-Stokes equations, electromagnetic field equations, and turbulence model to obtain the intermediate boundary parameters. The intermediate boundary parameters are then determined to satisfy the preset termination conditions, and the determination results are obtained.

[0085] S133: If the judgment result is satisfied, then the intermediate boundary parameter is taken as the final boundary parameter of the computational domain mesh, and the iterative calculation is stopped.

[0086] S134: If the judgment result is not satisfied, the intermediate boundary parameter is used as the initial boundary parameter of the next time step, and the calculation of the next time step begins.

[0087] In this embodiment, when iteratively calculating each computational domain grid, the grid temperature of the mixed gas at the current time step and the corresponding physical property parameters in the physical property parameter curve can be obtained. Then, the initial boundary parameters and physical property parameters can be calculated using the Navier-Stokes equations, electromagnetic field equations, and turbulence models to obtain intermediate boundary parameters. It is then determined whether the intermediate boundary parameters meet the preset termination conditions. If so, the intermediate boundary parameters are used as the final boundary parameters of the computational domain grid, and the iterative calculation is stopped. If not, the intermediate boundary parameters are used as the initial boundary parameters of the next time step, and the calculation of the next time step begins.

[0088] Understandably, the Navier-Stokes equations are one of the fundamental equations describing fluid motion. They contain the equations of mass conservation, momentum conservation, and energy conservation, and can be used to describe the motion and deformation of fluids. The electromagnetic field equations refer to the fundamental equations in electromagnetism describing the motion of electromagnetic fields; they describe the interaction and propagation laws of electric and magnetic fields. Turbulence models are mathematical models used to describe the turbulent motion of fluids. They can be used to simulate and predict the properties and behavior of turbulent fluid motion. Because turbulent motion has a complex spatial and temporal structure, it cannot be solved analytically; therefore, numerical simulation methods are required. In this application, the boundary conditions of a mixed gas can be iteratively calculated using the Navier-Stokes equations, electromagnetic field equations, and turbulence models.

[0089] In one embodiment, determining whether the intermediate boundary parameters meet the preset termination condition in step S132 and obtaining the determination result may include:

[0090] S1321: Calculate the residual value between the intermediate boundary parameter of the current time step and the intermediate boundary parameter of the previous time step, and determine whether the residual value is less than the preset threshold.

[0091] S1322: If the residual value is less than the preset threshold, the judgment result of the intermediate boundary parameter is determined to meet the preset termination condition.

[0092] S1323: If the residual value is not less than the preset threshold, the judgment result of the intermediate boundary parameter is that the preset termination condition is not met.

[0093] In this embodiment, when determining whether the intermediate boundary parameter meets the preset termination condition, the residual value between the intermediate boundary parameter of the current time step and the intermediate boundary parameter of the previous time step can be calculated, and it can be determined whether the residual value is less than the preset threshold. If so, the determination result of the intermediate boundary parameter can be determined to meet the preset termination condition; otherwise, the determination result of the intermediate boundary parameter can be determined to not meet the preset termination condition.

[0094] Understandably, power personnel can set the threshold for the residual value according to the actual situation and the specific requirements of the high-voltage switchgear. If the residual value of the current time step is not less than the preset threshold, it means that the calculation result has not converged. At this time, it is necessary to enter the calculation of the next time step to update the intermediate boundary parameters. If the residual value of the current time step is less than the preset threshold, it means that the calculation result has converged and the iterative calculation can be stopped. Here, convergence means that the calculation result has stabilized and no longer changes significantly.

[0095] In one embodiment, generating a dynamic parameter change map of the mixed gas based on the calculation results obtained by each computational domain grid during the iterative calculation process in S140 may include:

[0096] S141: Obtain the grid temperature calculated by each computational domain grid at each time step during the iterative calculation process.

[0097] S142: Sort the temperatures of each grid in each time step, and take the highest grid temperature in the sorting results as the gas temperature of the mixed gas in the corresponding time step.

[0098] S143: Generate a dynamic change graph of parameters of the mixed gas based on each time step and the gas temperature corresponding to each time step.

[0099] In this embodiment, after the iterative calculation of each computational domain grid is completed, the grid temperature calculated by each computational domain grid in each time step during the iterative calculation can be obtained. For each time step, the grid temperatures corresponding to each computational domain grid can be sorted, and the highest grid temperature in the sorting result can be taken as the gas temperature of the mixed gas in the corresponding time step, thereby obtaining the gas temperature of the mixed gas in each time step during the iterative calculation. Then, a dynamic change diagram of the parameters of the mixed gas can be generated based on each time step and the gas temperature corresponding to each time step.

[0100] It is understood that this application can use gas temperature as the evaluation standard for the arc extinguishing performance of the mixed gas. In this case, a dynamic change graph of parameters can be constructed based on the gas temperature of the mixed gas at each time step, and then the arc extinguishing performance of the mixed gas can be evaluated based on the temperature distribution in the dynamic change graph of parameters. In addition, this application can also use other parameters as the evaluation standard for the arc extinguishing performance of the mixed gas, or can evaluate the arc extinguishing performance of the mixed gas by using multiple types of parameters together, without any limitation.

[0101] In one embodiment, evaluating the arc-extinguishing performance of the mixed gas based on the parameter dynamic change graph in S140 may include:

[0102] S144: Compare the gas temperature at each time step in the parameter dynamic change graph with the preset temperature threshold to obtain the comparison result.

[0103] S145: Determine the duration for which the gas temperature of the mixed gas is higher than the preset temperature threshold based on the comparison results, and determine the arc extinguishing performance of the mixed gas based on the duration.

[0104] In this embodiment, after obtaining the parameter dynamic change graph, the gas temperature at each time step in the parameter dynamic change graph can be compared with the preset temperature threshold to obtain the comparison result. Then, the duration for which the gas temperature of the mixed gas is higher than the preset temperature threshold can be determined from the comparison result, so as to determine the arc extinguishing performance of the mixed gas based on the duration.

[0105] Specifically, in the parameter dynamic change graph, as time progresses, the gas temperature of the mixed gas first rises and then falls. When the gas temperature rises to the preset temperature threshold, timing can begin, and timing stops when the gas temperature returns to the preset temperature threshold, thus obtaining the duration of the high temperature of the mixed gas. The shorter the duration, the more concentrated the gas temperature distribution and the faster the cooling time, indicating better arc extinguishing performance of the mixed gas. Conversely, a longer duration indicates poorer arc extinguishing performance of the mixed gas.

[0106] The mixed gas arc extinguishing performance evaluation device provided in the embodiments of this application is described below. The mixed gas arc extinguishing performance evaluation device described below and the mixed gas arc extinguishing performance evaluation method described above can be referred to in correspondence with each other.

[0107] In one embodiment, such as Figure 3 As shown, Figure 3 This is a schematic diagram of a mixed gas arc-extinguishing performance evaluation device provided in an embodiment of this application. This application also provides a mixed gas arc-extinguishing performance evaluation device, including a gas acquisition module 210, a parameter acquisition module 220, an iterative calculation module 230, and a performance evaluation module 240, specifically comprising the following:

[0108] The gas acquisition module 210 is used to determine the mixed gas to be evaluated, the mixed gas test model, and multiple physical property parameter curves of the mixed gas in a preset temperature range.

[0109] The parameter acquisition module 220 is used to perform meshing of the mixed gas using the mixed gas test model, obtain multiple computational domain meshes, and acquire the initial boundary parameters of each computational domain mesh set in advance.

[0110] The iterative calculation module 230 is used to iteratively calculate the initial boundary parameters of each computational domain grid based on the curves of each physical property parameter until the calculation results meet the preset termination conditions.

[0111] The performance evaluation module 240 is used to generate a dynamic change map of parameters of the mixed gas based on the calculation results obtained by each computational domain grid during the iterative calculation process, and to evaluate the arc extinguishing performance of the mixed gas based on the dynamic change map of parameters.

[0112] In the above embodiments, when evaluating the arc-extinguishing performance of a gas mixture, the gas mixture to be evaluated, the gas mixture test model, and multiple physical property parameter curves of the gas mixture within a preset temperature range can be determined first. Then, the gas mixture can be divided into regions using the gas mixture test model to obtain multiple computational domain grids, and the initial boundary parameters of each computational domain grid can be obtained in advance. This transforms the gas mixture from a continuous physical space into a discrete computational grid. The initial boundary parameters of each computational domain grid describe the state of the gas mixture at different locations and times. After obtaining each computational domain grid, the initial boundary parameters of each computational domain grid can be iterated based on the various physical property parameter curves. The calculation continues until the results meet the preset termination conditions. Here, a distributed computing method is used to distribute the computational task to each computational domain grid for iterative calculation, thereby reducing the amount of computation and improving the efficiency and accuracy of the calculation. Finally, based on the calculation results obtained by each computational domain grid during the iterative calculation process, a dynamic change map of the parameters of the mixed gas can be generated, and the arc extinguishing performance of the mixed gas can be evaluated based on this dynamic change map. Here, the calculation results obtained by each computational domain grid during the iterative calculation process can be converted into a continuous dynamic distribution map of the parameters of the mixed gas, so that the change pattern of the parameters in the dynamic distribution map can be viewed intuitively. Therefore, the arc extinguishing performance of the mixed gas can be quickly evaluated.

[0113] In one embodiment, the gas acquisition module 210 may include:

[0114] The parameter calculation submodule is used to calculate the physical property parameters of each property category of the mixed gas at various temperatures within a preset temperature range using local thermodynamic equilibrium theory and interpolation algorithms.

[0115] The curve generation submodule is used to generate a curve of the physical property parameters of the mixed gas in a preset temperature range corresponding to each physical property category, based on the physical property parameters of the mixed gas at various temperatures.

[0116] In one embodiment, the curve generation submodule may include:

[0117] The line-of-sight generation unit is used to generate a line graph of the physical property parameters of each physical property category within a preset temperature range, based on the physical property parameters of that category at various temperatures.

[0118] The curve fitting unit is used to fit the line graph of the physical property parameters using a regression algorithm to obtain the physical property parameter curve of the mixed gas in the preset temperature range corresponding to the physical property category.

[0119] In one embodiment, the iterative calculation module 230 may include:

[0120] The parameter determination submodule is used to obtain the physical property parameters of the mixed gas at the grid temperature based on the physical property parameter curve during the calculation process of the current time step for each computational domain grid.

[0121] The parameter update submodule is used to calculate the initial boundary parameters and physical property parameters using the Navier-Stokes equations, electromagnetic field equations, and turbulence models, obtain intermediate boundary parameters, and determine whether the intermediate boundary parameters meet the preset termination conditions, and obtain the judgment result.

[0122] The first parameter judgment submodule is used to stop iterative calculation if the judgment result is satisfied, and then the intermediate boundary parameter is used as the final boundary parameter of the computational domain grid.

[0123] The second parameter judgment submodule is used to take the intermediate boundary parameter as the initial boundary parameter of the next time step and proceed to the calculation of the next time step if the judgment result is not satisfied.

[0124] In one embodiment, the parameter update submodule may include:

[0125] The residual value calculation unit is used to calculate the residual value between the intermediate boundary parameter of the current time step and the intermediate boundary parameter of the previous time step, and to determine whether the residual value is less than a preset threshold.

[0126] The first result determination unit is used to determine the judgment result of the intermediate boundary parameter as satisfying the preset termination condition if the residual value is less than the preset threshold.

[0127] The second result determination unit is used to determine the result of the intermediate boundary parameter as not meeting the preset termination condition if the residual value is not less than the preset threshold.

[0128] In one embodiment, the performance evaluation module 240 may include:

[0129] The grid temperature acquisition submodule is used to acquire the grid temperature calculated by each computational domain grid at each time step during the iterative calculation process.

[0130] The gas temperature determination submodule is used to sort the temperatures of each grid in each time step and take the highest grid temperature in the sorting results as the gas temperature of the mixed gas in the corresponding time step.

[0131] The image generation submodule is used to generate a dynamic change map of the parameters of the mixed gas based on each time step and the gas temperature corresponding to each time step.

[0132] In one embodiment, the performance evaluation module 240 may further include:

[0133] The temperature comparison submodule is used to compare the gas temperature at each time step in the parameter dynamic change graph with a preset temperature threshold to obtain the comparison result.

[0134] The performance evaluation submodule is used to determine the duration for which the gas temperature of the mixed gas is higher than a preset temperature threshold based on the comparison results, and to determine the arc extinguishing performance of the mixed gas based on the duration.

[0135] In one embodiment, this application also provides a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the mixed gas arc extinguishing performance evaluation method as described in any of the above embodiments.

[0136] In one embodiment, this application also provides a computer device storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the mixed gas arc extinguishing performance evaluation method as described in any of the above embodiments.

[0137] Indicatively, such as Figure 4 As shown, Figure 4 This is a schematic diagram of the internal structure of a computer device 300 provided in an embodiment of this application. The computer device 300 can be provided as a server. (Refer to...) Figure 4 The computer device 300 includes a processing component 302, which further includes one or more processors, and memory resources represented by memory 301 for storing instructions, such as application programs, that can be executed by the processing component 302. The application programs stored in memory 301 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 302 is configured to execute instructions to perform the mixed gas arc extinguishing performance evaluation method of any of the above embodiments.

[0138] The computer device 300 may also include a power supply component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate on an operating system stored in memory 301, such as Windows Server™, Mac OS X™, Unix™, Linux™, Free BSD™, or similar.

[0139] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0140] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0141] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0142] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the arc-extinguishing performance of a mixed gas, characterized in that, The method includes: The mixture to be evaluated, the test model of the mixture, and the multiple physical property parameter curves of the mixture within a preset temperature range are determined. The mixed gas is divided into regions using the mixed gas test model to obtain multiple computational domain grids, and the initial boundary parameters of each computational domain grid are obtained in advance. The initial boundary parameters of each computational domain grid are iteratively calculated based on the curves of each physical property parameter until the calculation results meet the preset termination conditions. Based on the calculation results obtained by each computational domain grid during the iterative calculation process, a dynamic change diagram of the parameters of the mixed gas is generated, and the arc extinguishing performance of the mixed gas is evaluated according to the dynamic change diagram of the parameters. The initial boundary parameters include the grid temperature; the iterative calculation is to continuously calculate the initial boundary parameters of the mixed gas in units of time steps. The iterative calculation of the initial boundary parameters of each computational domain grid based on the physical property parameter curve until the calculation result meets the preset termination condition includes: For each computational domain grid, during the computation process at the current time step, the physical property parameters of the mixed gas at the grid temperature are obtained based on the physical property parameter curve; The initial boundary parameters and the physical property parameters are calculated using the Navier-Stokes equations, electromagnetic field equations, and turbulence models to obtain intermediate boundary parameters. The intermediate boundary parameters are then determined to satisfy the preset termination conditions, and the determination result is obtained. If the judgment result is satisfied, then the intermediate boundary parameter is taken as the final boundary parameter of the computational domain grid, and the iterative calculation is stopped; If the judgment result is not satisfied, the intermediate boundary parameter is used as the initial boundary parameter of the next time step, and the calculation of the next time step begins. The generation of a dynamic parameter change map of the mixed gas based on the calculation results obtained from the iterative calculation of each computational domain grid includes: Obtain the grid temperature calculated by each computational domain grid at each time step during the iterative calculation process; The temperatures of each grid in each time step are sorted, and the highest grid temperature in the sorting result is taken as the gas temperature of the mixed gas in the corresponding time step. Based on each time step and the gas temperature corresponding to each time step, a dynamic change diagram of the parameters of the mixed gas is generated. The evaluation of the arc-extinguishing performance of the mixed gas based on the dynamic change graph of the parameter includes: The gas temperature at each time step in the dynamic change graph of the parameters is compared with the preset temperature threshold to obtain the comparison result; The duration for which the gas temperature of the mixed gas is higher than a preset temperature threshold is determined based on the comparison results, and the arc-extinguishing performance of the mixed gas is determined based on the duration.

2. The method for evaluating the arc-extinguishing performance of a mixed gas according to claim 1, characterized in that, The process of determining the multiple physical property parameter curves of the mixed gas within a preset temperature range includes: The physical property parameters of each property category of the mixed gas at various temperatures within a preset temperature range are calculated using the local thermodynamic equilibrium theory and interpolation algorithm. Based on the physical property parameters of the mixed gas at various temperatures, a physical property parameter curve corresponding to each physical property category of the mixed gas is generated within the preset temperature range.

3. The method for evaluating the arc-extinguishing performance of a mixed gas according to claim 2, characterized in that, The step of generating a property parameter curve for the mixed gas corresponding to each property category within the preset temperature range, based on the property parameters of the mixed gas at various temperatures, includes: For each property category, a line graph of the property parameters of that property category within the preset temperature range is generated based on the property parameters of that property category at various temperatures. By fitting the line graph of the physical property parameters using a regression algorithm, the physical property parameter curves of the mixed gas corresponding to the physical property category within the preset temperature range are obtained.

4. The method for evaluating the arc-extinguishing performance of a mixed gas according to claim 1, characterized in that, The step of determining whether the intermediate boundary parameter satisfies the preset termination condition and obtaining the determination result includes: Calculate the residual value between the intermediate boundary parameter of the current time step and the intermediate boundary parameter of the previous time step, and determine whether the residual value is less than a preset threshold. If so, the determination result of the intermediate boundary parameter is determined to satisfy the preset termination condition; If not, then the determination result of the intermediate boundary parameter is determined to be that the preset termination condition is not met.

5. A device for evaluating the arc-extinguishing performance of a mixed gas, characterized in that, include: The gas acquisition module is used to determine the mixed gas to be evaluated, the mixed gas test model, and multiple physical property parameter curves of the mixed gas within a preset temperature range; The parameter acquisition module is used to divide the mixed gas into regions using the mixed gas test model, obtain multiple computational domain grids, and acquire the initial boundary parameters of each computational domain grid in advance. The iterative calculation module is used to iteratively calculate the initial boundary parameters of each computational domain grid based on the curves of each physical property parameter until the calculation results meet the preset termination conditions. The performance evaluation module is used to generate a dynamic parameter change map of the mixed gas based on the calculation results obtained by each computational domain grid during the iterative calculation process, and to evaluate the arc extinguishing performance of the mixed gas based on the dynamic parameter change map. The initial boundary parameters include the grid temperature; the iterative calculation is to continuously calculate the initial boundary parameters of the mixed gas in units of time steps. The iterative calculation module performs iterative calculations on the initial boundary parameters of each computational domain grid based on the physical property parameter curve until the calculation results meet the preset termination conditions, including: For each computational domain grid, during the computation process at the current time step, the physical property parameters of the mixed gas at the grid temperature are obtained based on the physical property parameter curve; The initial boundary parameters and the physical property parameters are calculated using the Navier-Stokes equations, electromagnetic field equations, and turbulence models to obtain intermediate boundary parameters. The intermediate boundary parameters are then determined to satisfy the preset termination conditions, and the determination result is obtained. If the judgment result is satisfied, then the intermediate boundary parameter is taken as the final boundary parameter of the computational domain grid, and the iterative calculation is stopped; If the judgment result is not satisfied, the intermediate boundary parameter is used as the initial boundary parameter of the next time step, and the calculation of the next time step begins. The process of generating a dynamic parameter change graph of the mixed gas based on the calculation results obtained by each computational domain grid during the iterative calculation in the performance evaluation module includes: Obtain the grid temperature calculated by each computational domain grid at each time step during the iterative calculation process; The temperatures of each grid in each time step are sorted, and the highest grid temperature in the sorting result is taken as the gas temperature of the mixed gas in the corresponding time step. Based on each time step and the gas temperature corresponding to each time step, a dynamic change diagram of the parameters of the mixed gas is generated. The process of evaluating the arc-quenching performance of the mixed gas based on the dynamic change graph of this parameter in the performance evaluation module includes: The gas temperature at each time step in the dynamic change graph of the parameters is compared with the preset temperature threshold to obtain the comparison result; The duration for which the gas temperature of the mixed gas is higher than a preset temperature threshold is determined based on the comparison results, and the arc-extinguishing performance of the mixed gas is determined based on the duration.

6. A storage medium, characterized in that: The storage medium stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the mixed gas arc extinguishing performance evaluation method as described in any one of claims 1 to 4.

7. A computer device, characterized in that, include: One or more processors, and memory; The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the mixed gas arc extinguishing performance evaluation method as described in any one of claims 1 to 4.

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