High-voltage circuit breaker arc extinguish chamber structure optimization method and system

Abstract

The invention relates to the technical field of high-voltage circuit breaker design, and discloses a high-voltage circuit breaker arc extinguish chamber structure optimization method and system.The method includes the steps that a numerical simulation model of a high-voltage circuit breaker is constructed and simulated, and field intensity parameter data and airflow parameter data are obtained; the medium recovery characteristic value of each arc extinguish chamber measuring point in the high-voltage circuit breaker is obtained through the field intensity parameter data and the airflow parameter data, chaos characteristic identification is carried out by adopting the airflow parameter data, the maximum Lyapunov index is obtained, the mapping relation between the medium recovery characteristic value and the maximum Lyapunov index is constructed, and the maximum Lyapunov index is obtained. The weak area of the high-voltage circuit breaker can be quickly positioned through the medium recovery characteristic value, the maximum Lyapunov index of the weak area is matched through the mapping relation and is used for directionally adjusting the structure of the weak area until the preset structure optimization requirement is met, and the arc extinguish chamber structure optimization parameters are output. The technical problem of how to quickly position the weak design area of the arc extinguish chamber of the circuit breaker and optimize the structure is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage circuit breaker design, and in particular to a method and system for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker. Background Art

[0002] In high-voltage SF6 circuit breakers, the presence of nozzle structural components makes the airflow path complex, and turbulence will be generated when the airflow flows through the nozzle area, making the airflow motion unstable, random and locally drastically changing, and the nonlinear characteristics are obvious. Previous studies have shown that for short-circuit and high-current interruption, the nozzle airflow motion itself is the direct driving factor for arc extinction, and the airflow motion has a multi-scale vortex motion such as turbulence, and the accompanying chaotic effect has an impact on the circuit breaker interruption that cannot be ignored. The interruption process of high-voltage SF6 circuit breakers is a complex process with multi-physical field coupling, multi-physical parameter changes, and transonic airflow motion. Therefore, it is necessary to analyze the turbulent phenomenon in the airflow motion, which is the basis and key to studying the chaotic behavior of the nozzle airflow.

[0003] At present, when designing the arc extinguishing chamber structure of high-voltage circuit breakers, most of the time, empirical methods are used for design and optimization, and the distribution of the airflow field of the circuit breaker during the breaking process is not fully considered, resulting in the inability to quickly locate the weak areas of the arc extinguishing chamber design of the circuit breaker, and provide guidance for the subsequent design of the arc extinguishing chamber structure of high-voltage circuit breakers. Summary of the invention

[0004] The present invention provides a method and system for optimizing the structure of an arc extinguishing chamber of a high-voltage circuit breaker, which solves the technical problem of how to quickly locate the weak areas of the arc extinguishing chamber design of the circuit breaker and perform structural optimization.

[0005] A first aspect of the present invention provides a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker, comprising:

[0006] In response to a request for optimizing the arc extinguishing chamber structure of a target circuit breaker, a circuit breaker simulation model of the target circuit breaker is constructed;

[0007] Simulating the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types;

[0008] Based on the streamer theory, the field intensity parameter data and each of the airflow parameter data are used to determine the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points;

[0009] Using the airflow parameter data associated with each arc extinguishing chamber measuring point to perform chaotic feature recognition, and determining the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type;

[0010] Based on the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type, the weak area of ​​the target circuit breaker is determined.

[0011] Optionally, it also includes:

[0012] Based on the maximum Lyapunov exponent of the weak area, the structural parameters of the weak area are adjusted until preset structural optimization requirements are met, and then the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output.

[0013] Optionally, the circuit breaker simulation model is a two-dimensional axisymmetric circuit breaker numerical simulation model of the target circuit breaker.

[0014] Optionally, simulating the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types includes:

[0015] Performing electric field simulation on the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0016] Performing flow field simulation on the breaking process of the circuit breaker simulation model to obtain airflow parameter data of different parameter types at each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0017] The parameter types include density parameters, pressure parameters, temperature parameters, velocity parameter data, turbulent kinetic energy parameters, turbulent dissipation rate parameters, turbulent viscosity parameters, turbulent thermal conductivity parameters and Mach number parameters.

[0018] Optionally, performing electric field simulation on the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model includes:

[0019] Using the variation method to perform equivalent variation on the electric field mathematical model of the circuit breaker simulation model, to obtain a finite element equation group;

[0020] According to the preset electric field boundary conditions, the finite element equations are solved to obtain the field intensity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0021] Optionally, the performing of flow field simulation on the breaking process of the circuit breaker simulation model to obtain airflow parameter data of different parameter types at each arc extinguishing chamber measuring point in the circuit breaker simulation model includes:

[0022] Solving the flow field control equation of the circuit breaker simulation model to obtain density parameter data, pressure parameter data, temperature parameter data and speed parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0023] Wherein, the flow field control equation includes the mass equation, the kinetic energy equation and the energy equation;

[0024] Solving the turbulence equation of the circuit breaker simulation model to obtain turbulent kinetic energy parameter data, turbulent dissipation rate parameter data, turbulent viscosity parameter data, and turbulent thermal conductivity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0025] The Mach number equation of the circuit breaker simulation model is solved to obtain Mach number parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0026] Optionally, the determining of the dielectric recovery characteristic value of each arc extinguishing chamber measuring point by using the field intensity parameter data and each airflow parameter data based on the streamer theory includes:

[0027] Determine particle density data by using the pressure parameter data, the temperature parameter data and preset particle parameter data of each arc extinguishing chamber measuring point;

[0028] Performing a ratio operation on the field intensity parameter data and the particle density data to obtain a first ratio;

[0029] Performing a ratio operation on the preset recovery voltage and the field strength parameter data to obtain a second ratio;

[0030] Performing a multiplication operation using the first ratio and the second ratio to obtain a first product value;

[0031] The first multiplication value is used to perform a ratio operation with the particle density data to obtain the dielectric recovery characteristic value of each arc extinguishing chamber measuring point.

[0032] Optionally, the preset particle parameter data includes airflow field base pressure parameter data, initial temperature parameter data and reference particle density, and the pressure parameter data, temperature parameter data and preset particle parameter data of each arc extinguishing chamber measuring point are used to determine the particle density data, including:

[0033] Performing a ratio operation on the pressure parameter data and the airflow field base pressure parameter data to obtain a third ratio;

[0034] Performing a multiplication operation on the third ratio and the reference particle density to obtain a second multiplication value;

[0035] Performing a ratio operation on the initial temperature parameter data and the temperature parameter data to obtain a fourth ratio;

[0036] The second multiplication value and the fourth ratio are used to perform a ratio operation to obtain particle density data.

[0037] Optionally, the adopting of the airflow parameter data associated with each arc extinguishing chamber measuring point to perform chaotic feature recognition and determining the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type includes:

[0038] Respectively using the airflow parameter data of each parameter type to perform phase space reconstruction to determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0039] The maximum Lyapunov exponent calculation method is adopted to calculate the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type in the phase space.

[0040] Optionally, the respectively using the airflow parameter data of each parameter type to perform phase space reconstruction to determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model includes:

[0041] Obtaining the optimal delay time, optimal embedding dimension and sampling time interval for phase space reconstruction;

[0042] Generating initial airflow time series data using the airflow parameter data of each parameter type associated with each arc extinguishing chamber measuring point;

[0043] Performing interpolation processing on each of the initial airflow time series data to obtain target airflow time series data of each parameter type;

[0044] The phase space of the target airflow time series data is reconstructed using the optimal delay time, the optimal embedding dimension and the sampling time interval to determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0045] Optionally, the maximum Lyapunov exponent calculation method is used to calculate the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type in the phase space, including:

[0046] Taking the airflow parameter data first obtained in the target airflow time series data of each parameter type as a reference phase point, and finding the phase point closest to the reference phase point in the phase space as an endpoint for connection to obtain an initial vector;

[0047] In the phase space, the initial vector is connected forward along the trajectory to the phase points corresponding to the preset time step until all the phase points are traversed to obtain multiple initial vectors;

[0048] Calculating the Euclidean distance of all the initial vectors;

[0049] Using the Euclidean distance associated with two adjacent initial vectors, determine the exponential growth rate of the two adjacent initial vectors;

[0050] Performing a mean operation using all of the exponential growth rates to obtain an average exponential growth rate of each of the target airflow time series data;

[0051] The exponential growth average rate is used as the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with the target airflow time series data.

[0052] Optionally, determining the weak area of ​​the target circuit breaker based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type includes:

[0053] A multivariate mapping table of each of the arc extinguishing chamber measuring points is established by using the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points and the maximum Lyapunov exponent of the airflow parameter data of each of the parameter types;

[0054] Comparing the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points with a preset recovery characteristic threshold;

[0055] If the dielectric recovery characteristic value is less than the preset recovery characteristic threshold, the arc extinguishing chamber measuring point associated with the dielectric recovery characteristic value is determined as a weak area of ​​the target circuit breaker.

[0056] Optionally, adjusting the structural parameters of the weak area based on the maximum Lyapunov exponent of the weak area until a preset structural optimization requirement is met, and then outputting the arc extinguishing chamber structural optimization parameters of the target circuit breaker includes:

[0057] Retrieving the multivariate mapping table to match the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with each weak area;

[0058] comparing each of the maximum Lyapunov exponents with a preset exponent threshold;

[0059] If the maximum Lyapunov exponent is greater than the preset exponent threshold, the parameter type associated with the maximum Lyapunov exponent and the arc extinguishing chamber measuring point are used as target feature keys;

[0060] Using the target feature key to input a preset arc extinguishing chamber structural parameter database for retrieval, matching the structural parameters used to adjust the weak area, and performing structural adjustment;

[0061] Jump to the step of simulating the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types until the preset structural optimization requirements are met;

[0062] The structural parameters of each of the arc extinguishing chamber measuring points that currently meet the preset structural optimization requirements are used as the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

[0063] Optionally, the preset structural optimization requirement is that the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is not less than the preset recovery characteristic threshold.

[0064] A second aspect of the present invention provides a high-voltage circuit breaker arc extinguishing chamber structure optimization system, comprising:

[0065] A response module, used for responding to the arc extinguishing chamber structure optimization request of the target circuit breaker and constructing a circuit breaker simulation model of the target circuit breaker;

[0066] A simulation module, used to simulate the breaking process of the circuit breaker simulation model, and obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types;

[0067] A first data processing module is used to determine the dielectric recovery characteristic value of each arc extinguishing chamber measuring point based on the streamer theory by using the field intensity parameter data and each airflow parameter data;

[0068] A second data processing module is used to use the airflow parameter data associated with each of the arc extinguishing chamber measuring points to perform chaotic feature recognition, and determine the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type;

[0069] A weak area determination module, used to determine the weak area of ​​the target circuit breaker based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type;

[0070] The optimization parameter module is used to adjust the structural parameters of the weak area based on the maximum Lyapunov exponent of the weak area until the preset structural optimization requirements are met, and then output the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

[0071] 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any one of the above items.

[0072] 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any one of the above items.

[0073] 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any one of the above items.

[0074] It can be seen from the above technical solutions that the present invention has the following advantages:

[0075] The present invention firstly constructs a numerical simulation model of a high-voltage circuit breaker and performs simulation to obtain field strength parameter data and airflow parameter data. Secondly, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point in the high-voltage circuit breaker is obtained through the field strength parameter data and the airflow parameter data. Thirdly, the airflow parameter data is used to perform chaos feature recognition to obtain a maximum Lyapunov exponent for characterizing the chaos feature. A mapping relationship between the dielectric recovery characteristic value and the maximum Lyapunov exponent is constructed. From this, the weak area of ​​the high-voltage circuit breaker can be quickly located through the dielectric recovery characteristic value. Finally, the maximum Lyapunov exponent of the weak area is matched through the mapping relationship and used to directionally adjust the structure of the weak area until the preset structural optimization requirements are met. Then, the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output, which are used to guide the arc extinguishing chamber structural design, thereby solving the technical problem of how to quickly locate the weak area of ​​the circuit breaker arc extinguishing chamber design and perform structural optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] 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.

[0077] Figure 1 A flowchart of the steps of a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker provided in Embodiment 1 of the present invention;

[0078] Figure 2 A flowchart of the steps of a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker provided in the second embodiment of the present invention;

[0079] Figure 3 A schematic diagram of the locations of the measuring points of each arc extinguishing chamber provided in the second embodiment of the present invention;

[0080] Figure 4 A line graph of the maximum Lyapunov exponent of each parameter type at each arc extinguishing chamber measuring point provided in the second embodiment of the present invention;

[0081] Figure 5 A structural block diagram of a high-voltage circuit breaker arc extinguishing chamber structure optimization system provided in Embodiment 3 of the present invention;

[0082] Figure 6 This is a structural block diagram of a computer device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0083] The embodiments of the present invention provide a method and system for optimizing the structure of an arc extinguishing chamber of a high-voltage circuit breaker, which are used to solve the technical problem of how to quickly locate the weak areas of the arc extinguishing chamber design of the circuit breaker and perform structural optimization.

[0084] 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.

[0085] See also Figure 1 , Figure 1 A flowchart of the steps of a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker provided in Embodiment 1 of the present invention.

[0086] The present invention provides a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker, comprising:

[0087] Step 101: In response to a request for optimizing the arc extinguishing chamber structure of a target circuit breaker, a circuit breaker simulation model of the target circuit breaker is constructed.

[0088] The arc extinguishing chamber structure optimization request refers to request information for optimizing the structure of the arc extinguishing chamber of a target circuit breaker.

[0089] The circuit breaker simulation model refers to a two-dimensional axisymmetric circuit breaker numerical simulation model, which includes a pressure cylinder, an arc extinguishing chamber, contacts and other parts, and is used to simulate the breaking process.

[0090] In an embodiment of the present invention, in response to receiving request information for structural optimization of an arc extinguishing chamber of a target circuit breaker, the request information is read, initial structural parameters of the target circuit breaker are obtained, and a two-dimensional axisymmetric circuit breaker numerical simulation model of the target circuit breaker is constructed.

[0091] Step 102: Simulate the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types.

[0092] The arc extinguishing chamber measuring point refers to a pre-set detection point, each detection point corresponds to an area. In the embodiment of the present invention, the inside of the air compressor, the air outlet of the air compressor, the throat and the nozzle area are selected as detection points respectively.

[0093] The breaking process simulation refers to simulating the movement of the circuit breaker cylinder and contacts without applying an arc, thereby obtaining the simulation results of the cold air flow in the arc extinguishing chamber during the breaking process of the high-voltage circuit breaker.

[0094] In an embodiment of the present invention, electric field simulation and flow field simulation are performed on the breaking process of the circuit breaker simulation model respectively, and by simulating the gas flow characteristics during the breaking process of the high-voltage circuit breaker, field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types are obtained.

[0095] Step 103: Based on the streamer theory, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is determined using the field intensity parameter data and each airflow parameter data.

[0096] Streamer theory refers to a principle that explains the electrical breakdown process of gas and is a theory used to describe the discharge process.

[0097] The dielectric recovery characteristic value refers to the dielectric recovery characteristic of the high-voltage circuit breaker. Based on the critical breakdown criterion proposed by the streamer theory, the dielectric recovery characteristic of the high-voltage circuit breaker is calculated, specifically the breakdown voltage.

[0098] In the embodiment of the present invention, with respect to the dielectric recovery characteristics of the high-voltage circuit breaker, the dielectric recovery characteristic values ​​of each arc extinguishing chamber measuring point of the high-voltage circuit breaker are calculated using field intensity parameter data and various airflow parameter data.

[0099] Step 104: Use the airflow parameter data associated with each arc extinguishing chamber measuring point to perform chaotic feature recognition, and determine the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type.

[0100] Chaotic feature identification refers to the analysis of chaotic characteristics based on the CC method (correlation integral method) and LE index method (maximum Lyapunov index calculation method) for airflow parameter data to obtain the chaotic characteristic quantity distribution of each airflow parameter, where the chaotic characteristic quantity distribution is specifically the maximum Lyapunov index. The chaotic characteristic (maximum Lyapunov index) is used to reflect the trend of breaking capacity. Under different circuit breaker structures, the mapping relationship between chaotic characteristics and breaking capacity (medium recovery characteristic value) can be used to reduce the circuit breaker-related areas to be optimized (weak areas).

[0101] In the embodiment of the present invention, the airflow parameter data associated with each arc extinguishing chamber measuring point is used to perform chaotic feature recognition, and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type is determined.

[0102] Step 105: Determine the weak area of ​​the target circuit breaker based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type.

[0103] In an embodiment of the present invention, a mapping relationship is established between the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type, and then the weak area of ​​the target circuit breaker is determined based on the comparison between the dielectric recovery characteristic value and the preset recovery characteristic threshold.

[0104] In the present invention, in response to a request for optimizing the arc chamber structure of a target circuit breaker, a circuit breaker simulation model of the target circuit breaker is constructed, the breaking process of the circuit breaker simulation model is simulated, and field strength parameter data of each arc chamber measuring point and airflow parameter data of different parameter types in the circuit breaker simulation model are obtained. Based on the stream injection theory, the field strength parameter data and each airflow parameter data are used to determine the dielectric recovery characteristic value of each arc chamber measuring point, and the airflow parameter data associated with each arc chamber measuring point are used to perform chaotic feature identification, and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type is determined. Based on the dielectric recovery characteristic value of each arc chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type, the weak area of ​​the target circuit breaker is determined. The present invention first constructs a numerical simulation model of a high-voltage circuit breaker and performs simulation, thereby obtaining to field strength parameter data and airflow parameter data, secondly, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point in the high-voltage circuit breaker is obtained through the field strength parameter data and the airflow parameter data, and again, the airflow parameter data is used to perform chaotic feature recognition, and the maximum Lyapunov exponent used to characterize the chaotic characteristics is obtained, and a mapping relationship between the dielectric recovery characteristic value and the maximum Lyapunov exponent is constructed, and from then on, the weak area of ​​the high-voltage circuit breaker can be quickly located through the dielectric recovery characteristic value, and finally, the maximum Lyapunov exponent of the weak area is matched through the mapping relationship, and used to directionally adjust the structure of the weak area until the preset structural optimization requirements are met, and then the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output, so as to guide the arc extinguishing chamber structural design; the technical problem of how to quickly locate the weak area of ​​the arc extinguishing chamber design of the circuit breaker and perform structural optimization is solved.

[0105] See also Figure 2 , Figure 2 A flowchart of the steps of a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker provided in Embodiment 2 of the present invention.

[0106] The present invention provides a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker, comprising:

[0107] Step 201: In response to a request for optimizing the arc extinguishing chamber structure of a target circuit breaker, a circuit breaker simulation model of the target circuit breaker is constructed.

[0108] Furthermore, the circuit breaker simulation model is a two-dimensional axisymmetric circuit breaker numerical simulation model of the target circuit breaker.

[0109] 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.

[0110] Step 202: Perform electric field simulation on the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0111] Further, step 202 may include the following sub-steps:

[0112] S11. Use the variational method to perform equivalent variation on the electric field mathematical model of the circuit breaker simulation model to obtain a finite element equation group.

[0113] The specific mathematical model of the electric field is:

[0114]

[0115] In the formula, represents the potential at the location to be solved in the solution domain, Indicates the static arc contact position, Indicates the potential at the static main contact position, Indicates the position of the moving arc contact, Indicates the potential of the moving main contact position, The potential at the static main contact position is the first boundary condition. The potential representing the position of the moving main contact is the second boundary condition;

[0116] The equivalent variation of the electric field mathematical model using the variational method is as follows:

[0117]

[0118]

[0119] The above variational equations are written in matrix form to obtain the finite element equations in matrix form, which are:

[0120]

[0121] In the formula, represents the energy functional of the electric field on unit e, represents the energy functional of the per-unit value of the electric field on unit e, represents the integration area of ​​unit e, represents the dielectric constant, Represents a specific computing unit, express The transpose of represents the stiffness matrix describing the potential relationship in the electric field, represents the potential vector on unit e, express The matrix is OK Column matrix, and Respectively represent the and The shape function of the nodes, represents the number of matrix rows, represents the number of matrix columns, represents the stiffness matrix of the finite element calculation system equation, where The matrix is composition.

[0122] S12. Solve the finite element equations according to the preset electric field boundary conditions to obtain the field intensity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0123] In the embodiment of the present invention, the above equation is a finite element equation group corresponding to the Laplace equation. After adding the preset electric field boundary conditions, the potential value at each node can be solved.

[0124] The field strength formula is:

[0125]

[0126] In the formula, Indicates field strength parameter data, Represents the partial derivative of the potential.

[0127] Step 203: Perform flow field simulation on the breaking process of the circuit breaker simulation model to obtain airflow parameter data of different parameter types at each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0128] Among them, the parameter types include density parameters, pressure parameters, temperature parameters, velocity parameter data, turbulent kinetic energy parameters, turbulent dissipation rate parameters, turbulent viscosity parameters, turbulent thermal conductivity parameters and Mach number parameters.

[0129] Further, step 203 may include the following sub-steps:

[0130] S21, solving the flow field control equation of the circuit breaker simulation model to obtain density parameter data, pressure parameter data, temperature parameter data and speed parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0131] Among them, the flow field control equations include the mass equation, kinetic energy equation and energy equation.

[0132] The mass equation is:

[0133]

[0134] The kinetic energy equation is:

[0135]

[0136] The energy equation is specifically:

[0137]

[0138]

[0139]

[0140] In the formula, represents density parameter data, and All are speed parameter data, among which, represents the velocity component of the gas in the axial direction, represents the velocity component of the gas in the radial direction, represents the velocity vector, represents the external momentum source term in the axial direction, represents the external momentum source term in radial direction, represents the total internal energy per unit mass of gas, represents the thermal conductivity, Indicates pressure parameter data, represents the viscous dissipation, represents the external energy source term, represents the viscosity coefficient, represents the Hamiltonian operator, represents the axial unit vector, represents the radial unit vector, represents the second viscosity coefficient.

[0141] S22. Solve the turbulence equation of the circuit breaker simulation model to obtain turbulent kinetic energy parameter data, turbulent dissipation rate parameter data, turbulent viscosity parameter data and turbulent thermal conductivity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0142] In the embodiment of the present invention, the flow field adopts the standard k-ε model to reflect the effect of turbulence in the arc extinguishing chamber. The turbulent kinetic energy k and the turbulent dissipation rate ε satisfy the following form:

[0143] The turbulence equation is:

[0144]

[0145]

[0146] In the formula, represents the gas density, represents the turbulent kinetic energy parameter, 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, represents the turbulence dissipation rate parameter, 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.

[0147] Turbulent viscosity The turbulent kinetic energy k and turbulent dissipation rate ε are calculated based on the turbulence equation:

[0148]

[0149] In the formula, represents the turbulent viscosity parameter, Represents a constant.

[0150] 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.

[0151] Turbulent thermal conductivity k t and turbulent kinetic energy k and turbulent Prandtl number The following relationship exists:

[0152]

[0153] In the formula, is the turbulent Prandtl number, represents the specific heat capacity at constant pressure, Represents turbulent thermal conductivity parameter data.

[0154] S23, solving the Mach number equation of the circuit breaker simulation model to obtain Mach number parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0155] The Mach number equation is:

[0156]

[0157] In the formula, represents the Mach number parameter data, represents the velocity of the arc extinguishing chamber measuring point in the flow field, Indicates the speed of sound at the arc extinguishing chamber measuring point;

[0158] It should be noted that in flow field simulation, parameter types include but are not limited to density parameters, pressure parameters, temperature parameters, velocity parameter data, turbulent kinetic energy parameters, turbulent dissipation rate parameters, turbulent viscosity parameters, turbulent thermal conductivity parameters and Mach number parameters, which can be set according to actual needs and are not limited here.

[0159] Step 204: Based on the streamer theory, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is determined using the field intensity parameter data and each airflow parameter data.

[0160] Further, step 204 may include the following sub-steps:

[0161] S31, using the pressure parameter data, temperature parameter data and preset particle parameter data of each arc extinguishing chamber measuring point to determine the particle density data.

[0162] S32. Perform a ratio operation on the field intensity parameter data and the particle density data to obtain a first ratio.

[0163] S33, performing a ratio operation on the preset recovery voltage and the field strength parameter data to obtain a second ratio.

[0164] S34. Perform a multiplication operation using the first ratio and the second ratio to obtain a first product value.

[0165] S35. Perform a ratio operation on the first product value and the particle density data to obtain the dielectric recovery characteristic value of each arc extinguishing chamber measuring point.

[0166] In the embodiment of the present invention, the dielectric recovery characteristics of the high-voltage circuit breaker are calculated based on the critical breakdown criterion proposed by the streamer theory. (Note: The critical breakdown criterion is based on the assumption that the electric field is uniform and is affected by space charge).

[0167] For a uniform electric field, in the case of cold gas breakdown, if the ratio of the electric field strength to the gas molecule density E / N exceeds a certain value (E / N)*, the medium will be broken down. For slightly non-uniform fields and complex gas density changes, once the streamer occurs, diffusion will continue and lead to breakdown.

[0168] Therefore, when the electric field is uniform, the critical value of the breakdown voltage can be calculated by judging whether the electric field strength and the gas molecule density reach (E / N)*. When the electric field is non-uniform or slightly non-uniform, it is necessary to make some corrections to (E / N)*.

[0169] In a specific implementation, in order to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, wherein the calculation method of the medium recovery characteristic value can be as follows:

[0170]

[0171] In the formula, Indicates the dielectric recovery characteristic value associated with the arc chamber measurement point, specifically the breakdown voltage, Indicates field strength parameter data, represents the particle density data, Indicates the preset recovery voltage.

[0172] Further, S31 may include the following sub-steps:

[0173] S311, performing a ratio operation on the pressure parameter data and the airflow field base pressure parameter data to obtain a third ratio.

[0174] S312, performing a multiplication operation on the third ratio and the reference particle density to obtain a second multiplication value.

[0175] S313: Perform a ratio operation on the initial temperature parameter data and the temperature parameter data to obtain a fourth ratio.

[0176] S314, performing a ratio operation using the second product value and the fourth ratio to obtain particle density data.

[0177] In a specific implementation, in order to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, where the particle density data can be calculated as follows:

[0178]

[0179] Where p represents the pressure parameter data, and N0 represents the reference particle density, specifically N0=2.45×10 19 cm -3, T0 represents the initial temperature parameter data, specifically T0=300K, T represents the temperature parameter data, p1 represents the third ratio, specifically the dimensionless pressure ratio of the pressure parameter data to the airflow field base pressure parameter data, p0 represents the airflow field base pressure parameter data, specifically p0=0.5MPa.

[0180] In step 204, the medium recovery characteristic value is combined with the calculation formula of the particle density data to transform, and the transformed expression is finally obtained as follows:

[0181]

[0182] Step 205: Use the airflow parameter data associated with each arc extinguishing chamber measuring point to perform chaotic feature recognition, and determine the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type.

[0183] Further, step 205 may include the following sub-steps:

[0184] S41. Reconstruct the phase space using the airflow parameter data of each parameter type to determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0185] Further, S41 may include the following sub-steps:

[0186] S411, obtaining an optimal delay time, an optimal embedding dimension and a sampling time interval for phase space reconstruction.

[0187] In an embodiment of the present invention, a correlation integral method is used to calculate the optimal delay time τ for phase space reconstruction of each target airflow time series data, a correlation dimension algorithm is used to calculate the optimal embedding dimension m for phase space reconstruction of each target airflow time series data, and a fast Fourier transform algorithm is used to calculate the sampling time interval △t for phase space reconstruction of each target airflow time series data.

[0188] S412, respectively using the airflow parameter data of each parameter type associated with each arc extinguishing chamber measuring point to generate initial airflow time series data.

[0189] In the embodiment of the present invention, the initial airflow time series data is specifically x 初 ={x i ,i=1,2,...,N}, where the sampling time interval △t, for ease of understanding, for example, if the parameter type is a temperature parameter, then the temperature parameter initial airflow time series data is specifically x T ={x Ti ,i=1,2,...,N}, other parameter types are similar and will not be described here.

[0190] S413 , interpolating each initial airflow time series data to obtain target airflow time series data of each parameter type.

[0191] In the embodiment of the present invention, due to the limited number of sample points (a total of 200 sets of samples from contact separation to full opening), interpolation processing is an effective missing value processing method, and it is possible to select a suitable interpolation type for estimation according to different situations. According to experience, there is a certain error in calculating the maximum Lyapunov exponent after phase space reconstruction. In this embodiment, the sample data is interpolated three times by spline, and the data is expanded without destroying the sample points, so as to obtain the target airflow time series data x 目 ={x i ,i=1,2,...,N}.

[0192] S414, using each optimal delay time, optimal embedding dimension and sampling time interval to reconstruct the phase space of the target airflow time series data, and determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0193] In the embodiment of the present invention, the reconstructed phase space X={X i}, X i is a phase point in the m-dimensional phase space:

[0194]

[0195] In the formula, Indicates the number of parameter types after interpolation processing.

[0196] S42. Calculate the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type in the phase space using the maximum Lyapunov exponent calculation method.

[0197] Further, S42 may include the following sub-steps:

[0198] S421. Taking the airflow parameter data first obtained in the target airflow time series data of each parameter type as the reference phase point, and finding the phase point closest to the reference phase point in the phase space as the endpoint for connection to obtain an initial vector.

[0199] In the embodiment of the present invention, the airflow parameter data first obtained in the target airflow time series data is taken as the reference phase point, that is, the initial point x0 is taken as the reference phase point. 目 ={x i ,i=1,2,...,N}, select the point x closest to x0 from the remaining phase points j The endpoints are connected to form an initial vector.

[0200] S422, in the phase space, the initial vector is connected forward along the trajectory to the phase points corresponding to the preset time step until all phase points are traversed to obtain multiple initial vectors.

[0201] In the embodiment of the present invention, the time step is taken as k, ,The initial vector evolves forward along the trajectory to obtain a new vector, traversing all phase points to obtain multiple initial vectors.

[0202] S423, calculating the Euclidean distance of all initial vectors.

[0203] In the embodiment of the present invention, the Euclidean distances of all initial vectors are calculated, wherein the Euclidean distance of the first initial vector is recorded as L(t0), the Euclidean distance of the second initial vector is recorded as L(t1), and so on, according to the time step, which will not be repeated here.

[0204] S424. Using the Euclidean distance associated with two adjacent initial vectors, determine the exponential growth rate of the two adjacent initial vectors.

[0205] In a specific implementation, in order to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, where the exponential growth rate can be calculated as follows:

[0206]

[0207] In the formula, Indicates exponential growth rate, represents the time step, Indicates Euclidean distance, Indicates -1 Euclidean distance.

[0208] S425. Perform a mean operation using all exponential growth rates to obtain an average exponential growth rate of each target airflow time series data.

[0209] In a specific implementation, in order to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, where the calculation method of the average rate of exponential growth can be as follows:

[0210]

[0211] In the formula, represents the average rate of exponential growth, The total number representing the exponential growth rate.

[0212] S426. Using the exponential growth average rate as the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with the target airflow time series data.

[0213] In an embodiment of the present invention, at this time, the current exponential growth average rate can be directly used as the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with the target airflow time series data, or the optimal embedding dimension m can be increased successively, and steps S421-S425 are repeated until the Lyapunov exponent estimate becomes stable as m changes. The result obtained here is the desired maximum Lyapunov exponent value.

[0214] Step 206: Determine the weak area of ​​the target circuit breaker based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type.

[0215] Further, step 206 may include the following sub-steps:

[0216] S51, using the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent of the airflow parameter data of each parameter type, to establish a multivariate mapping table of each arc extinguishing chamber measuring point.

[0217] In the embodiment of the present invention, a multivariate mapping table of the maximum Lyapunov exponent and the dielectric recovery characteristic value of each airflow parameter data is established based on different arc extinguishing chamber measuring points in the arc extinguishing chamber of the circuit breaker.

[0218] The specific multivariate mapping table is:

[0219]

[0220] In the formula, Indicates the dielectric recovery characteristic value associated with the arc chamber measurement point, Indicates the pressure parameter associated with the arc chamber measuring point, Indicates the density parameter associated with the arc chamber measurement point, Indicates the speed parameter associated with the arc chamber measuring point, Indicates the temperature parameter associated with the arc chamber measuring point, Indicates the maximum Lyapunov exponent corresponding to each parameter type (pressure parameter, density parameter, velocity parameter and temperature parameter) associated with the arc extinguishing chamber measurement point.

[0221] It should be noted that The parameter types corresponding to the airflow parameter data in are not limited. Here are just a few examples, for example Indicates the maximum Lyapunov exponent corresponding to the pressure parameter.

[0222] S52, comparing the dielectric recovery characteristic value of each arc extinguishing chamber measuring point with a preset recovery characteristic threshold.

[0223] The preset recovery characteristic threshold refers to a threshold used to determine whether the arc extinguishing chamber measuring point is a weak area.

[0224] In the embodiment of the present invention, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is compared with a preset recovery characteristic threshold.

[0225] S53: If the dielectric recovery characteristic value is less than a preset recovery characteristic threshold, the arc extinguishing chamber measuring point associated with the dielectric recovery characteristic value is determined as a weak area of ​​the target circuit breaker.

[0226] In an embodiment of the present invention, if the dielectric recovery characteristic value is less than a preset recovery characteristic threshold, the arc extinguishing chamber measuring point associated with the dielectric recovery characteristic value less than the preset recovery characteristic threshold is determined to be a weak area of ​​the target circuit breaker.

[0227] S54: If the dielectric recovery characteristic value is not less than the preset recovery characteristic threshold, the arc extinguishing chamber measuring point associated with the dielectric recovery characteristic value is determined as a stable area of ​​the target circuit breaker.

[0228] In an embodiment of the present invention, if the dielectric recovery characteristic value is not less than a preset recovery characteristic threshold, the arc extinguishing chamber measuring point associated with the dielectric recovery characteristic value not less than the preset recovery characteristic threshold is determined to be a stable area of ​​the target circuit breaker.

[0229] Step 207: Based on the maximum Lyapunov exponent of the weak area, adjust the structural parameters of the weak area until the preset structural optimization requirements are met, and then output the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

[0230] In an embodiment of the present invention, according to the determined weak area, a mapping relationship table is retrieved to match the maximum Lyapunov index associated with the weak area, and the structure of the weak area is modified and adjusted according to the numerical value of the maximum Lyapunov index, thereby achieving fixed-point optimization of the medium recovery capacity affected by airflow until the preset structural optimization requirements are met, and the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output.

[0231] Further, step 207 may include the following sub-steps:

[0232] S61, searching the multivariate mapping table to match the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with each weak area.

[0233] In the embodiment of the present invention, the multivariate mapping table is searched to match the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with each weak area.

[0234] S62. Compare each maximum Lyapunov exponent with a preset exponent threshold.

[0235] It should be noted that the preset index threshold is 0.

[0236] In the embodiment of the present invention, each maximum Lyapunov exponent is compared with a preset exponent threshold.

[0237] S63. If the maximum Lyapunov exponent is greater than a preset exponent threshold, the parameter type and the arc extinguishing chamber measuring point associated with the maximum Lyapunov exponent are used as target feature keys.

[0238] In an embodiment of the present invention, if the maximum Lyapunov exponent is greater than a preset exponent threshold, it is determined that a chaotic phenomenon exists in the disconnection process at the arc extinguishing chamber measuring point using the parameter type associated with the maximum Lyapunov exponent, and therefore the parameter type and the arc extinguishing chamber measuring point are used as target feature keys.

[0239] S64, using the target feature key to input the preset arc extinguishing chamber structural parameter database for retrieval, matching the structural parameters used to adjust the weak area, and performing structural adjustment.

[0240] The preset arc extinguishing chamber structural parameter database refers to a pre-set arc extinguishing chamber structural parameter key-value pair database, specifically refers to a key-value pair database established based on the association between parameter type and associated arc extinguishing chamber measurement points and structural parameters, wherein the parameter type and arc extinguishing chamber measurement points serve as keys and the structural parameters serve as values.

[0241] For easier understanding, the following application examples are provided:

[0242] The inside of the air compressor cylinder (specifically, the smooth section upstream of the nozzle P1), the air compressor cylinder outlet (specifically, the upstream of the nozzle P2), the throat (specifically, the throat P3) and the nozzle (specifically, the downstream of the nozzle P4) areas were selected as the arc extinguishing chamber measurement points.

[0243] When the parameter type is a Mach number parameter, the maximum Lyapunov exponent of the Mach number parameter at the arc chamber measuring point P4 is greater than the preset index threshold, that is, chaos occurs at the arc chamber measuring point P4, and the target feature key is input into the preset arc chamber structural parameter database for retrieval. Since the arc chamber measuring point P4 is a nozzle, the preset nozzle structural parameters are retrieved in the preset arc chamber structural parameter database, and the weak area is adjusted according to the structural parameters. By adjusting the structural parameters, the chaotic characteristics of the nozzle Mach number are enhanced, which is beneficial to improving the breaking capacity.

[0244] S65, jump to the step of simulating the breaking process of the circuit breaker simulation model to obtain the field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and the airflow parameter data of different parameter types until the preset structural optimization requirements are met.

[0245] In an embodiment of the present invention, the step jumps to simulating the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types, until the dielectric recovery characteristic values ​​of each arc extinguishing chamber measuring point are not less than the preset recovery characteristic threshold, indicating that there is no weak area in the circuit breaker numerical simulation model.

[0246] S66. Using the structural parameters of each arc extinguishing chamber measuring point that currently meets the preset structural optimization requirements as the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

[0247] In an embodiment of the present invention, the structural parameters of each arc chamber measuring point in the numerical simulation model of the circuit breaker in which no weak area currently exists are recorded and used as the arc chamber structural optimization parameters of the target circuit breaker. The designer re-optimizes the target circuit breaker according to the arc chamber structural optimization parameters to obtain a new optimized high-voltage circuit breaker.

[0248] Furthermore, the preset structural optimization requirement is that the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is not less than a preset recovery characteristic threshold.

[0249] It is worth mentioning that all kinds of solution processes in the embodiments of the present invention can be solved in the fluent software.

[0250] For ease of understanding, the following is a specific application example of the embodiment of the present invention:

[0251] See also Figure 3 As shown, the present invention takes high-voltage SF6 circuit breaker as the target circuit breaker, selects the inside of the pressure cylinder (specifically the smooth section upstream of the nozzle P1), the pressure cylinder outlet (specifically the upstream of the nozzle P2), the throat (specifically the throat P3) and the nozzle (specifically the downstream of the nozzle P4) as the arc extinguishing chamber measurement points, and performs cold air flow simulation without arc and breaking simulation with arc respectively. And records the corresponding air flow parameter data change curves of the pressure parameters, density parameters, velocity parameters, Mach number parameters, temperature parameters and turbulent kinetic energy parameters of the selected points.

[0252] Boundary condition setting: the outlet pressure is set to 0.6MPa, the other boundaries are solid walls, and the thermal-solid coupling between the contact and the arc area is set.

[0253] Based on the streamer theory, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is determined by using the field strength parameter data and each air flow parameter data, and then the weak area of ​​the high-voltage circuit breaker can be quickly located through the dielectric recovery characteristic value;

[0254] At the same time, the airflow parameter data under each parameter type are analyzed to obtain the airflow parameter time series under different arc extinguishing chamber measuring points. The maximum Lyapunov index is calculated by using the CC method (correlation integral method) and LE index method (maximum Lyapunov index calculation method) to obtain the maximum Lyapunov index of each parameter type at each arc extinguishing chamber measuring point.

[0255] A mapping relationship between the dielectric recovery characteristic value and the maximum Lyapunov exponent is constructed. The maximum Lyapunov exponent of the weak area is matched through the mapping relationship and used to directionally adjust the structure of the weak area until the preset structural optimization requirements are met. The arc extinguishing chamber structural optimization parameters of the target circuit breaker are then output to guide the arc extinguishing chamber structural design.

[0256] It is worth mentioning that see Figure 4 , Figure 4 It is a line graph of the maximum Lyapunov exponent of each parameter type at each arc extinguishing chamber measuring point. The following LEmax refers to the maximum Lyapunov exponent;

[0257] The data in the horizontal comparison chart:

[0258] The pressure parameters and density parameters, velocity parameters and Mach number parameters at the same arc extinguishing chamber measuring point basically have the same chaotic characteristics. The main reason for this result is that these two pairs of parameter types are essentially interrelated characteristic quantities with similar changing trends.

[0259] The data in the vertical comparison chart:

[0260] For the pressure parameter and density parameter, LEmax at points P1 to P4 is greater than zero, indicating that the pressure parameter data of the airflow at each arc extinguishing chamber measuring point has chaotic behavior, and from points P1 to P4, LEmax increases first and then decreases. It can be seen that the airflow produces a chaotic effect from the starting position, and then acts on the entire airflow path. Figure 4 The pressure value at point P2 is lower than that at point P1, but the pressure chaos characteristic is higher than that at point P1. By applying the dielectric recovery theory, in order to improve the breaking capacity, the structure between the flow guide channel and the fracture can be adjusted to reduce the pressure LEmax at points P1 and P2.

[0261] For the Mach number and speed parameters, the LEmax value at point P2 is low and negative, indicating that there is no chaotic behavior here and it has no reference value;

[0262] There are chaotic features at points P3 and P4. Combining the positions of points P3 and P4 and existing research, the increase in LEmax at point P4 reflects the effect of the nozzle on breaking. Therefore, adjusting the structure here to enhance the chaotic features of the nozzle Mach number is beneficial to improving the breaking capacity. At the same time, the increase in LEmax at point P3 reflects the effect of the nozzle on breaking. Therefore, adjusting the structure here to enhance the chaotic features of the nozzle Mach number is beneficial to improving the breaking capacity.

[0263] For the temperature parameters and turbulent kinetic energy parameters, the temperature at point P3 and the turbulent kinetic energy at point P2 are low, and the airflow motion is less intense. At the same time, the LEmax of the temperature parameters and turbulent kinetic energy parameters at point P4 are both greater than 0, and the LEmax value of the turbulent kinetic energy is on an upward trend as a whole, indicating that the chaotic behavior of the turbulence from the source to the downstream of the nozzle is fully developed, which directly reflects that the nozzle structure has a direct impact on the generation of cold airflow turbulence and chaotic effects. This is the same as the conclusion of the Mach number parameter and speed parameter response, which proves the correctness of the entire conclusion.

[0264] According to the above Figure 4 The analysis shows that the chaotic characteristics (maximum Lyapunov exponent) of different parameter types affect the structure of each arc chamber measuring point in the high-voltage circuit breaker. Therefore, a preset arc chamber structural parameter database can be constructed according to the structure associated with the chaotic characteristics of different parameter types. When the structural parameters of the weak area are subsequently adjusted, the corresponding structural parameters can be directly matched according to the maximum Lyapunov exponent and the weak area can be adjusted in a targeted manner to obtain the arc chamber structural optimization parameters of the target circuit breaker.

[0265] In the present invention, in response to a request for optimizing the arc extinguishing chamber structure of a target circuit breaker, a circuit breaker simulation model of the target circuit breaker is constructed, the breaking process of the circuit breaker simulation model is simulated, and the field strength parameter data of each arc extinguishing chamber measuring point and the airflow parameter data of different parameter types in the circuit breaker simulation model are obtained. Based on the streamer theory, the field strength parameter data and the airflow parameter data are used to determine the dielectric recovery characteristic value of each arc extinguishing chamber measuring point, and the airflow parameter data associated with each arc extinguishing chamber measuring point are used to perform chaotic feature identification, and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type is determined. Based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type, the weak area of ​​the target circuit breaker is determined, and based on the maximum Lyapunov exponent of the weak area, the structural parameters of the weak area are adjusted until the preset structural optimization requirements are met, and then the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output; The present invention firstly constructs a numerical simulation model of a high-voltage circuit breaker and performs simulation to obtain field strength parameter data and airflow parameter data. Secondly, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point in the high-voltage circuit breaker is obtained through the field strength parameter data and the airflow parameter data. Thirdly, the airflow parameter data is used to perform chaos feature recognition to obtain a maximum Lyapunov exponent for characterizing the chaos feature. A mapping relationship between the dielectric recovery characteristic value and the maximum Lyapunov exponent is constructed. From this, the weak area of ​​the high-voltage circuit breaker can be quickly located through the dielectric recovery characteristic value. Finally, the maximum Lyapunov exponent of the weak area is matched through the mapping relationship and used to directionally adjust the structure of the weak area until the preset structural optimization requirements are met. Then, the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output, so as to guide the arc extinguishing chamber structural design. The technical problem of how to quickly locate the weak area of ​​the arc extinguishing chamber design of the circuit breaker and perform structural optimization is solved.

[0266] See also Figure 5 , Figure 5 This is a structural block diagram of a high-voltage circuit breaker arc extinguishing chamber structure optimization system provided in Example 3 of the present invention.

[0267] The present invention provides a high-voltage circuit breaker arc extinguishing chamber structure optimization system, comprising:

[0268] A response module 301 is used to respond to a request for optimizing the arc extinguishing chamber structure of a target circuit breaker and to construct a circuit breaker simulation model of the target circuit breaker;

[0269] The simulation module 302 is used to simulate the breaking process of the circuit breaker simulation model to obtain the field strength parameter data of each arc extinguishing chamber measurement point in the circuit breaker simulation model and the airflow parameter data of different parameter types;

[0270] The first data processing module 303 is used to determine the dielectric recovery characteristic value of each arc extinguishing chamber measuring point based on the streamer theory by using the field intensity parameter data and each airflow parameter data;

[0271] The second data processing module 304 is used to use the airflow parameter data associated with each arc extinguishing chamber measurement point to perform chaotic feature recognition and determine the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type;

[0272] The weak area determination module 305 is used to determine the weak area of ​​the target circuit breaker based on the dielectric recovery characteristic value of each arc extinguishing chamber measurement point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type.

[0273] Furthermore, it also includes:

[0274] The parameter optimization module 306 is used to adjust the structural parameters of the weak area based on the maximum Lyapunov index of the weak area until the preset structural optimization requirements are met, and then output the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

[0275] Furthermore, the circuit breaker simulation model is a two-dimensional axisymmetric circuit breaker numerical simulation model of the target circuit breaker.

[0276] Furthermore, the simulation module 302 includes:

[0277] The electric field simulation submodule is used to perform electric field simulation on the breaking process of the circuit breaker simulation model to obtain the field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0278] The flow field simulation submodule is used to perform flow field simulation on the breaking process of the circuit breaker simulation model to obtain air flow parameter data of different parameter types at each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0279] Among them, the parameter types include density parameters, pressure parameters, temperature parameters, velocity parameter data, turbulent kinetic energy parameters, turbulent dissipation rate parameters, turbulent viscosity parameters, turbulent thermal conductivity parameters and Mach number parameters.

[0280] Furthermore, the electric field simulation submodule includes:

[0281] The finite element equation group unit is used to perform equivalent variation on the electric field mathematical model of the circuit breaker simulation model by using the variation method to obtain the finite element equation group;

[0282] The field intensity parameter data unit is used to solve the finite element equations according to the preset electric field boundary conditions to obtain the field intensity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0283] Furthermore, the flow field simulation submodule includes:

[0284] The flow field control equation unit is used to solve the flow field control equation of the circuit breaker simulation model to obtain density parameter data, pressure parameter data, temperature parameter data and speed parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0285] Among them, the flow field control equations include mass equation, kinetic energy equation and energy equation;

[0286] The turbulence equation unit is used to solve the turbulence equation of the circuit breaker simulation model to obtain the turbulence kinetic energy parameter data, turbulence dissipation rate parameter data, turbulence viscosity parameter data and turbulence thermal conductivity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model;

[0287] The Mach number equation unit is used to solve the Mach number equation of the circuit breaker simulation model to obtain the Mach number parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0288] Furthermore, the first data processing module 303 includes:

[0289] The particle density data submodule is used to determine the particle density data by using the pressure parameter data, temperature parameter data and preset particle parameter data of each arc extinguishing chamber measuring point;

[0290] A first ratio submodule, used to perform a ratio operation using the field intensity parameter data and the particle density data to obtain a first ratio;

[0291] A second ratio submodule, used to perform a ratio operation using a preset recovery voltage and field strength parameter data to obtain a second ratio;

[0292] A first multiplication submodule, configured to perform a multiplication operation using the first ratio and the second ratio to obtain a first product value;

[0293] The dielectric recovery characteristic value submodule is used to perform a ratio operation using the first product value and the particle density data to obtain the dielectric recovery characteristic value of each arc extinguishing chamber measuring point.

[0294] Furthermore, the particle density data submodule includes:

[0295] A third ratio unit, used for performing a ratio operation using the pressure parameter data and the airflow field base pressure parameter data to obtain a third ratio;

[0296] A second multiplication unit is used to perform a multiplication operation on the third ratio and the reference particle density to obtain a second multiplication value;

[0297] A fourth ratio unit, used for performing a ratio operation on the initial temperature parameter data and the temperature parameter data to obtain a fourth ratio;

[0298] The ratio operation unit is used to perform a ratio operation using the second multiplication value and the fourth ratio to obtain particle density data.

[0299] Furthermore, the second data processing module 304 includes:

[0300] The phase space reconstruction submodule is used to reconstruct the phase space using the airflow parameter data of each parameter type to determine the phase space of each arc extinguishing chamber measurement point in the circuit breaker simulation model;

[0301] The maximum Lyapunov exponent calculation submodule is used to calculate the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type in the phase space by using the maximum Lyapunov exponent calculation method.

[0302] Furthermore, the phase space reconstruction submodule includes:

[0303] A phase space data acquisition unit, used to acquire an optimal delay time, an optimal embedding dimension and a sampling time interval for phase space reconstruction;

[0304] An initial airflow time series data unit, used to generate initial airflow time series data using airflow parameter data of each parameter type associated with each arc extinguishing chamber measuring point;

[0305] A target airflow time series data unit is used to perform interpolation processing on each initial airflow time series data to obtain target airflow time series data of each parameter type;

[0306] The phase space construction unit is used to reconstruct the phase space of the target airflow time series data by using various optimal delay times, optimal embedding dimensions and sampling time intervals, and determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

[0307] Furthermore, the maximum Lyapunov exponent calculation submodule includes:

[0308] An initial vector unit is used to take the airflow parameter data first obtained in the target airflow time series data of each parameter type as the reference phase point, and find the phase point closest to the reference phase point in the phase space as the endpoint for connection to obtain the initial vector;

[0309] A traversal unit is used to connect the initial vector along the trajectory in the phase space to the phase points corresponding to the preset time step forward until all phase points are traversed to obtain multiple initial vectors;

[0310] Euclidean distance unit, used to calculate the Euclidean distance of all initial vectors;

[0311] An exponential growth rate unit, used to determine the exponential growth rate of two adjacent initial vectors by using the Euclidean distance associated with the two adjacent initial vectors;

[0312] An exponential growth average rate unit is used to perform an average operation using all exponential growth rates to obtain an exponential growth average rate of each target airflow time series data;

[0313] The exponential operation unit is used to use the exponential growth average rate as the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with the target airflow time series data.

[0314] Furthermore, the weak area determination module 305 includes:

[0315] A multivariate mapping table submodule, for establishing a multivariate mapping table for each arc extinguishing chamber measuring point by using the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent of the airflow parameter data of each parameter type;

[0316] A comparison submodule, used to compare the dielectric recovery characteristic value of each arc extinguishing chamber measuring point with a preset recovery characteristic threshold;

[0317] The comparison result submodule is used to determine the arc extinguishing chamber measuring point associated with the dielectric recovery characteristic value as the weak area of ​​the target circuit breaker if the dielectric recovery characteristic value is less than a preset recovery characteristic threshold.

[0318] Furthermore, the optimization parameter module 306 includes:

[0319] A retrieval submodule, used to retrieve a multivariate mapping table to match the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with each weak area;

[0320] A comparison submodule, used for comparing each maximum Lyapunov exponent with a preset exponent threshold;

[0321] A target feature key submodule is used to use the parameter type and the arc extinguishing chamber measurement point associated with the maximum Lyapunov exponent as the target feature key if the maximum Lyapunov exponent is greater than a preset exponent threshold;

[0322] A matching submodule, for using a target feature key to input a preset arc extinguishing chamber structural parameter database for retrieval, matching structural parameters for adjusting weak areas, and performing structural adjustments;

[0323] A jump submodule, used to jump to the step of simulating the breaking process of the circuit breaker simulation model, obtaining the field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and the airflow parameter data of different parameter types, until the preset structural optimization requirements are met;

[0324] The optimization parameter output submodule is used to use the structural parameters of each arc extinguishing chamber measuring point that currently meets the preset structural optimization requirements as the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

[0325] Furthermore, the preset structural optimization requirement is that the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is not less than a preset recovery characteristic threshold.

[0326] In the present invention, in response to a request for optimizing the arc extinguishing chamber structure of a target circuit breaker, a circuit breaker simulation model of the target circuit breaker is constructed, the breaking process of the circuit breaker simulation model is simulated, and the field strength parameter data of each arc extinguishing chamber measuring point and the airflow parameter data of different parameter types in the circuit breaker simulation model are obtained. Based on the streamer theory, the field strength parameter data and the airflow parameter data are used to determine the dielectric recovery characteristic value of each arc extinguishing chamber measuring point, and the airflow parameter data associated with each arc extinguishing chamber measuring point are used to perform chaotic feature identification, and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type is determined. Based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type, the weak area of ​​the target circuit breaker is determined, and based on the maximum Lyapunov exponent of the weak area, the structural parameters of the weak area are adjusted until the preset structural optimization requirements are met, and then the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output; The present invention firstly constructs a numerical simulation model of a high-voltage circuit breaker and performs simulation to obtain field strength parameter data and airflow parameter data. Secondly, the dielectric recovery characteristic value of each arc extinguishing chamber measuring point in the high-voltage circuit breaker is obtained through the field strength parameter data and the airflow parameter data. Thirdly, the airflow parameter data is used to perform chaos feature recognition to obtain a maximum Lyapunov exponent for characterizing the chaos feature. A mapping relationship between the dielectric recovery characteristic value and the maximum Lyapunov exponent is constructed. From this, the weak area of ​​the high-voltage circuit breaker can be quickly located through the dielectric recovery characteristic value. Finally, the maximum Lyapunov exponent of the weak area is matched through the mapping relationship and used to directionally adjust the structure of the weak area until the preset structural optimization requirements are met. Then, the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output, so as to guide the arc extinguishing chamber structural design. The technical problem of how to quickly locate the weak area of ​​the arc extinguishing chamber design of the circuit breaker and perform structural optimization is solved.

[0327] See also Figure 6 , Figure 6 This is a structural block diagram of a computer device provided in Embodiment 4 of the present invention.

[0328] An electronic device according to an embodiment of the present invention comprises: 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 a method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to any of the above embodiments.

[0329] 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker described above.

[0330] 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any of the above embodiments is implemented.

[0331] Embodiment 6 of the present invention further 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any of the above embodiments.

[0332] 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.

[0333] 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.

[0334] 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.

[0335] 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.

[0336] 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.

[0337] 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker, characterized in that: include: In response to a request for optimizing the arc extinguishing chamber structure of a target circuit breaker, a circuit breaker simulation model of the target circuit breaker is constructed; Simulating the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types; Based on the streamer theory, the field intensity parameter data and each of the airflow parameter data are used to determine the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points; Using the airflow parameter data associated with each arc extinguishing chamber measuring point to perform chaotic feature recognition, and determining the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type; Based on the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type, the weak area of ​​the target circuit breaker is determined.

2. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 1, characterized in that: Also includes: Based on the maximum Lyapunov exponent of the weak area, the structural parameters of the weak area are adjusted until preset structural optimization requirements are met, and then the arc extinguishing chamber structural optimization parameters of the target circuit breaker are output.

3. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 1, characterized in that: The circuit breaker simulation model is a two-dimensional axisymmetric circuit breaker numerical simulation model of the target circuit breaker.

4. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 1, characterized in that: The breaking process of the circuit breaker simulation model is simulated to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types, including: Performing electric field simulation on the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model; Performing flow field simulation on the breaking process of the circuit breaker simulation model to obtain airflow parameter data of different parameter types at each arc extinguishing chamber measuring point in the circuit breaker simulation model; The parameter types include density parameters, pressure parameters, temperature parameters, velocity parameter data, turbulent kinetic energy parameters, turbulent dissipation rate parameters, turbulent viscosity parameters, turbulent thermal conductivity parameters and Mach number parameters.

5. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 4, characterized in that: The electric field simulation is performed on the breaking process of the circuit breaker simulation model to obtain the field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model, including: Using the variation method to perform equivalent variation on the electric field mathematical model of the circuit breaker simulation model, to obtain a finite element equation group; According to the preset electric field boundary conditions, the finite element equations are solved to obtain the field intensity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

6. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 4, characterized in that: The flow field simulation is performed on the breaking process of the circuit breaker simulation model to obtain airflow parameter data of different parameter types at each arc extinguishing chamber measuring point in the circuit breaker simulation model, including: Solving the flow field control equation of the circuit breaker simulation model to obtain density parameter data, pressure parameter data, temperature parameter data and speed parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model; Wherein, the flow field control equation includes the mass equation, the kinetic energy equation and the energy equation; Solving the turbulence equation of the circuit breaker simulation model to obtain turbulent kinetic energy parameter data, turbulent dissipation rate parameter data, turbulent viscosity parameter data, and turbulent thermal conductivity parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model; The Mach number equation of the circuit breaker simulation model is solved to obtain Mach number parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

7. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 6, characterized in that: The method of determining the dielectric recovery characteristic value of each arc extinguishing chamber measuring point by using the field intensity parameter data and each airflow parameter data based on the streamer theory includes: Determine particle density data by using the pressure parameter data, the temperature parameter data and preset particle parameter data of each arc extinguishing chamber measuring point; Performing a ratio operation on the field intensity parameter data and the particle density data to obtain a first ratio; Performing a ratio operation on the preset recovery voltage and the field strength parameter data to obtain a second ratio; Performing a multiplication operation using the first ratio and the second ratio to obtain a first product value; The first multiplication value is used to perform a ratio operation with the particle density data to obtain the dielectric recovery characteristic value of each arc extinguishing chamber measuring point.

8. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 7, characterized in that: The preset particle parameter data includes airflow field base pressure parameter data, initial temperature parameter data and reference particle density, and the pressure parameter data, temperature parameter data and preset particle parameter data of each arc extinguishing chamber measuring point are used to determine the particle density data, including: Performing a ratio operation on the pressure parameter data and the airflow field base pressure parameter data to obtain a third ratio; Performing a multiplication operation on the third ratio and the reference particle density to obtain a second multiplication value; Performing a ratio operation on the initial temperature parameter data and the temperature parameter data to obtain a fourth ratio; The second multiplication value and the fourth ratio are used to perform a ratio operation to obtain particle density data.

9. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 1, characterized in that: The method of using the airflow parameter data associated with each arc extinguishing chamber measuring point to perform chaotic feature recognition and determine the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type includes: Respectively using the airflow parameter data of each parameter type to perform phase space reconstruction to determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model; The maximum Lyapunov exponent calculation method is adopted to calculate the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type in the phase space.

10. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 9, characterized in that: The phase space reconstruction is performed by respectively using the airflow parameter data of each parameter type to determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model, including: Obtaining the optimal delay time, optimal embedding dimension and sampling time interval for phase space reconstruction; Generating initial airflow time series data using the airflow parameter data of each parameter type associated with each arc extinguishing chamber measuring point; Performing interpolation processing on each of the initial airflow time series data to obtain target airflow time series data of each parameter type; The phase space of the target airflow time series data is reconstructed using the optimal delay time, the optimal embedding dimension and the sampling time interval to determine the phase space of each arc extinguishing chamber measuring point in the circuit breaker simulation model.

11. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 10, characterized in that: The method of calculating the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type in the phase space by using the maximum Lyapunov exponent calculation method includes: Taking the airflow parameter data first obtained in the target airflow time series data of each parameter type as a reference phase point, and finding the phase point closest to the reference phase point in the phase space as an endpoint for connection to obtain an initial vector; In the phase space, the initial vector is connected forward along the trajectory to the phase points corresponding to the preset time step until all the phase points are traversed to obtain multiple initial vectors; Calculating the Euclidean distance of all the initial vectors; Using the Euclidean distance associated with two adjacent initial vectors, determine the exponential growth rate of the two adjacent initial vectors; Performing a mean operation using all of the exponential growth rates to obtain an average exponential growth rate of each of the target airflow time series data; The exponential growth average rate is used as the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with the target airflow time series data.

12. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 2, characterized in that: The determining of the weak area of ​​the target circuit breaker based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type comprises: A multivariate mapping table of each of the arc extinguishing chamber measuring points is established by using the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points and the maximum Lyapunov exponent of the airflow parameter data of each of the parameter types; Comparing the dielectric recovery characteristic value of each of the arc extinguishing chamber measuring points with a preset recovery characteristic threshold; If the dielectric recovery characteristic value is less than the preset recovery characteristic threshold, the arc extinguishing chamber measuring point associated with the dielectric recovery characteristic value is determined as a weak area of ​​the target circuit breaker.

13. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 12, characterized in that: The adjusting the structural parameters of the weak area based on the maximum Lyapunov index of the weak area until the preset structural optimization requirements are met, and then outputting the arc extinguishing chamber structural optimization parameters of the target circuit breaker includes: Retrieving the multivariate mapping table to match the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type associated with each weak area; comparing each of the maximum Lyapunov exponents with a preset exponent threshold; If the maximum Lyapunov exponent is greater than the preset exponent threshold, the parameter type associated with the maximum Lyapunov exponent and the arc extinguishing chamber measuring point are used as target feature keys; The target feature key is used to input a preset arc extinguishing chamber structural parameter database for retrieval, the structural parameters used to adjust the weak area are matched, and the structural adjustment is performed; Jump to the step of simulating the breaking process of the circuit breaker simulation model to obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types until the preset structural optimization requirements are met; The structural parameters of each of the arc extinguishing chamber measuring points that currently meet the preset structural optimization requirements are used as the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

14. The method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker according to claim 13, characterized in that: The preset structural optimization requirement is that the dielectric recovery characteristic value of each arc extinguishing chamber measuring point is not less than the preset recovery characteristic threshold.

15. A high voltage circuit breaker arc extinguishing chamber structure optimization system, characterized in that: include: A response module, used for responding to the arc extinguishing chamber structure optimization request of the target circuit breaker and constructing a circuit breaker simulation model of the target circuit breaker; A simulation module, used to simulate the breaking process of the circuit breaker simulation model, and obtain field strength parameter data of each arc extinguishing chamber measuring point in the circuit breaker simulation model and airflow parameter data of different parameter types; A first data processing module is used to determine the dielectric recovery characteristic value of each arc extinguishing chamber measuring point based on the streamer theory by using the field intensity parameter data and each airflow parameter data; A second data processing module is used to use the airflow parameter data associated with each of the arc extinguishing chamber measurement points to perform chaotic feature recognition, and determine the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type; A weak area determination module, used to determine the weak area of ​​the target circuit breaker based on the dielectric recovery characteristic value of each arc extinguishing chamber measuring point and the maximum Lyapunov exponent corresponding to the airflow parameter data of each parameter type; The optimization parameter module is used to adjust the structural parameters of the weak area based on the maximum Lyapunov exponent of the weak area until the preset structural optimization requirements are met, and then output the arc extinguishing chamber structural optimization parameters of the target circuit breaker.

16. An electronic device, characterized in that: It comprises 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any one of claims 1 to 14.

17. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any one of claims 1 to 14 is implemented.

18. A computer program product, characterized in that The computer program product 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 method for optimizing the arc extinguishing chamber structure of a high-voltage circuit breaker as described in any one of claims 1-14.

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