Circuit breaker multi-level collaborative simulation method, device, computer equipment and storage medium

Abstract

The present application relates to a multi-level collaborative simulation method, apparatus, computer equipment and storage medium for a circuit breaker. The method includes: establishing a simulation model corresponding to an operating mechanism in a circuit breaker; initializing each simulation model within a preset time period according to the initial boundary conditions and initial excitation parameter values of preset parameters in each simulation model to obtain an initial simulation model; for each initial simulation model, bidirectionally transferring coupling parameters between the initial simulation model and other initial simulation models with an interactive relationship to obtain transferred coupling parameters; determining the convergence of key parameters between the initial simulation model and other initial simulation models with an interactive relationship based on the transferred coupling parameters; and when the convergence of the key parameters in each initial simulation model meets the convergence completion condition, simulating each simulation model based on the transferred coupling parameters to obtain a target simulation result corresponding to each initial simulation model.

Description

Technical Field

[0001] The present application relates to the technical field of circuit breaker simulation, and in particular to a method, apparatus, computer equipment, storage medium, and computer program product for multi-level collaborative simulation of a circuit breaker. Background Art

[0002] High-voltage circuit breakers are the most important control and protection actuators in AC power systems. The operating mechanism is responsible for driving the movable motor in high-voltage AC circuit breakers to achieve opening and closing operations. The kinematic characteristics of the operating mechanism have a decisive impact on circuit breaker performance. To ensure the practicality and safety of high-voltage circuit breakers, technicians can use simulation technology to design and control servo motor operating mechanisms.

[0003] However, at present, the servo motor in the servo motor operating mechanism and the transmission system in the servo motor operating mechanism are generally simulated separately. At this time, the load of the transmission system cannot be accurately loaded as the motor load by the servo motor, and the electromagnetic drive characteristics of the servo motor cannot be accurately reflected in the transmission system, resulting in an increase in the error of the simulated servo motor operating mechanism and a reduction in the accuracy of the simulated servo motor operating mechanism. Summary of the Invention

[0004] Based on this, it is necessary to provide a circuit breaker multi-level collaborative simulation method, device, computer equipment, computer-readable storage medium and computer program product that can improve the simulation accuracy of the servo motor operating mechanism to address the above technical problems.

[0005] In a first aspect, the present application provides a multi-level collaborative simulation method for a circuit breaker. The method comprises:

[0006] Establish a simulation model corresponding to the operating mechanism in the circuit breaker; the operating mechanism includes a drive control system, a servo motor body, a transmission system, and vulnerable parts; the simulation model includes a four-level module consisting of a lumped parameter simulation model of the drive control system, an electromagnetic thermal coupling simulation model of the servo motor body, a rigid body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts;

[0007] Initializing each of the simulation models within a preset time period according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each of the simulation models to obtain an initial simulation model;

[0008] For each of the initial simulation models, bidirectionally transfer coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain transferred coupling parameters; the coupling parameters are determined based on the two initial simulation models having an interactive relationship and the preset parameters;

[0009] Determining convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship based on the transferred coupling parameters;

[0010] When the convergence of the key parameters in each of the initial simulation models meets the convergence completion condition, each of the initial simulation models is simulated based on the transferred coupling parameters to obtain the target simulation results corresponding to each of the initial simulation models.

[0011] In one embodiment, the field quantity transfer relationship between the four-level modules includes a first transfer relationship between the drive control system and the servo motor body, a second transfer relationship between the servo motor body and the transmission system, and a third transfer relationship between the transmission system and the consumable component; the coupling parameters after the transfer include updated excitation parameter values and updated boundary conditions;

[0012] The bidirectionally transferring the coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters includes:

[0013] If the field quantity transfer relationship is the first transfer relationship, at least one of the voltage amplitude and the voltage duty cycle in the lumped parameter simulation model is sent to the electromagnetic-thermal coupling simulation model and determined as an updated excitation parameter value of the electromagnetic-thermal coupling simulation model;

[0014] At least one of the back electromotive force, current, motor speed, rotation angle and torque in the electromagnetic thermal coupling simulation model is sent to the lumped parameter simulation model and determined as an updated boundary condition of the lumped parameter simulation model.

[0015] In one embodiment, the bidirectionally transferring coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters includes:

[0016] If the field quantity transfer relationship is the second transfer relationship, sending the torque in the electromagnetic-thermal coupling simulation model to the rigid body dynamics simulation model and determining it as an updated excitation parameter value of the rigid body dynamics simulation model;

[0017] At least one of the moment of inertia and the load torque in the rigid body dynamics simulation model is sent to the electromagnetic thermal coupling simulation model and determined as an updated boundary condition of the electromagnetic thermal coupling simulation model.

[0018] In one embodiment, the bidirectionally transferring coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters includes:

[0019] If the field quantity transfer relationship is the third transfer relationship, the component forces in the rigid body dynamics simulation model are sent to the transient dynamics simulation model and determined as update boundary conditions of the transient dynamics simulation model;

[0020] The total strain in the transient dynamics simulation model is sent to the rigid body dynamics simulation model and determined as an updated excitation parameter value of the transient dynamics simulation model.

[0021] In one embodiment, the convergence includes a first convergence between the drive control system and the servo motor body, a second convergence between the servo motor body and the transmission system, and a third convergence between the transmission system and the consumable component; the key parameters include motor current, the rotation angle of the motor output spindle, and component position;

[0022] The determining, based on the transferred coupling parameters, the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship includes:

[0023] determining the motor current according to the transferred coupling parameters corresponding to the lumped parameter simulation model and the electromagnetic thermal coupling simulation model;

[0024] Determining the rotation angle of the motor output spindle according to the transferred coupling parameters corresponding to the electromagnetic thermal coupling simulation model and the rigid body dynamics simulation model;

[0025] Determining the component position according to the transferred coupling parameters corresponding to the rigid body dynamics simulation model and the transient dynamics simulation model;

[0026] determining a first residual value corresponding to the motor current, and determining a first convergence corresponding to the first residual value;

[0027] determining a second residual value corresponding to a rotation angle of an output spindle of the motor, and determining a second convergence corresponding to the second residual value;

[0028] A third residual value corresponding to the component position value is determined, and a third convergence corresponding to the third residual value is determined.

[0029] In one embodiment, after determining the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship based on the transferred coupling parameters, the method further includes:

[0030] When the convergence of the key parameters in each of the initial simulation models does not satisfy the convergence completion condition, adjusting the preset parameters corresponding to each of the initial simulation models to obtain adjusted preset parameters;

[0031] Return to executing the step of initializing each of the simulation models according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each of the simulation models within the preset time period to obtain the initial simulation model, until the convergence of the key parameters meets the convergence completion condition, thereby obtaining an updated initial simulation model.

[0032] In one embodiment, the preset time period is a unit time period; and simulating each of the initial simulation models based on the transferred coupling parameters to obtain a target simulation result corresponding to each of the initial simulation models includes:

[0033] Simulating each of the initial simulation models based on the transferred coupling parameters to obtain an initial simulation result of each of the initial simulation models within the unit time period;

[0034] In a next unit time period corresponding to the unit time period, obtaining an initial simulation result of each of the initial simulation models in the next unit time period;

[0035] When the time range corresponding to the plurality of unit time periods exceeds the preset time range, a plurality of initial simulation results of each of the initial simulation models within the preset time range are obtained, and the plurality of initial simulation results are determined to be the target simulation results.

[0036] In a second aspect, the present application further provides a circuit breaker multi-level collaborative simulation device. The device comprises:

[0037] A model building module is used to establish a simulation model corresponding to the operating mechanism in the circuit breaker; the operating mechanism includes a drive control system, a servo motor body, a transmission system, and vulnerable parts; the simulation model includes a four-level module consisting of a lumped parameter simulation model of the drive control system, an electromagnetic thermal coupling simulation model of the servo motor body, a rigid body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts;

[0038] A model initialization module is used to initialize each of the simulation models within a preset time period according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each of the simulation models to obtain an initial simulation model;

[0039] a parameter transfer module, configured to bidirectionally transfer coupling parameters between each of the initial simulation models and other initial simulation models having an interactive relationship, thereby obtaining the transferred coupling parameters; the coupling parameters being determined based on the two initial simulation models having an interactive relationship and the preset parameters;

[0040] a convergence determination module, configured to determine, based on the transferred coupling parameters, the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship;

[0041] The simulation module is used to simulate each of the initial simulation models based on the transferred coupling parameters when the convergence of the key parameters in each of the initial simulation models meets the convergence completion condition, so as to obtain the target simulation results corresponding to each of the initial simulation models.

[0042] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method described in the first aspect when executing the computer program.

[0043] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0044] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0045] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0046] The above-mentioned multi-level collaborative simulation method, device, computer equipment, storage medium and computer program product for circuit breaker establishes multiple simulation models corresponding to the operating mechanism in the circuit breaker, such as the lumped parameter simulation model of the drive control system, the electromagnetic thermal coupling simulation model of the servo motor body, the rigid body dynamics simulation model of the transmission system, and the transient dynamics simulation model of the vulnerable parts. The above four models can constitute a four-level module with an associated relationship, and initialize each simulation model respectively according to the initial boundary conditions and initial excitation parameter values corresponding to the preset parameters of the simulation model to obtain an initial simulation model. Based on this, the server can determine the coupling parameters between the initial simulation model and other initial simulation models that have an interactive relationship with the initial simulation model, and transfer the coupling parameters in both directions, so that the parameters of the multi-level initial simulation models are exchanged, so that the initial simulation models can be collaboratively simulated. Afterwards, the server determines the convergence of the key parameters between the initial simulation model and the other initial simulation models based on the transferred coupling parameters. When the convergence meets the convergence completion condition, each initial simulation model completes internal collaboration, reducing the error caused by the data interaction between the initial simulation models and reducing the simulation accuracy of the initial simulation model. Afterwards, by simulating each initial simulation model separately, the target simulation results corresponding to each initial simulation model are obtained, which can improve the accuracy of the multi-level simulation model. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0048] Figure 1 2. A diagram showing an application environment of a multi-level collaborative simulation method for a circuit breaker in one embodiment;

[0049] Figure 2 1 is a flow chart of a multi-level collaborative simulation method for a circuit breaker in one embodiment;

[0050] Figure 3 A schematic flow chart of a step for determining convergence of key parameters in one embodiment;

[0051] Figure 4 1 is a structural block diagram of a multi-level collaborative simulation device for a circuit breaker in one embodiment;

[0052] Figure 5 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0054] The multi-level collaborative simulation method for circuit breakers provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 can establish multiple simulation models corresponding to the operating mechanism in the high-voltage circuit breaker on the server 104. The operating mechanism is a device in the high-voltage AC circuit breaker that is responsible for driving the movable motor to move and then realize the opening and closing operations. The operating mechanism includes a drive control system, a servo motor body, a transmission system and vulnerable parts. The simulation model includes a lumped parameter simulation model of the drive control system, an electromagnetic thermal coupling simulation model of the servo motor body, a rigid body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts. The four-level module. Based on this, the terminal 102 can call the server 104 to initialize the simulation model by assigning values to the preset parameters to obtain the initial simulation model, and the server 104 can perform bidirectional transmission of coupling parameters for each initial simulation model, and determine the convergence of key parameters between each initial simulation model based on the transmitted coupling parameters, so that when the convergence meets the convergence completion conditions, each initial simulation model is simulated separately to obtain the final target simulation result.

[0055] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0056] In an exemplary embodiment, Figure 2 As shown in the figure, a multi-level collaborative simulation method for circuit breaker is provided. Figure 1 The server in the example is used to illustrate the method, which includes the following steps S202 to S210.

[0057] Step S202: establishing a simulation model corresponding to the operating mechanism in the circuit breaker.

[0058] The operating mechanism includes a drive control system, a servo motor, a transmission system, and vulnerable parts. The simulation model includes a four-level module consisting of a lumped parameter simulation model of the drive control system, an electromagnetic-thermal coupling simulation model of the servo motor, a rigid-body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts. The circuit breaker can be a high-voltage circuit breaker.

[0059] Specifically, for the drive control system, the server can model components such as resistors, capacitors, and IGBTs (Insulated Gate Bipolar Transistors) within the drive control system to create a lumped parameter simulation model. This lumped parameter model can be used to calculate output parameters such as voltage and current from the drive control system. For the servo motor itself, the server can model its stator, rotor, coils, and other components to create an electromagnetic-thermal coupling simulation model. This electromagnetic-thermal coupling simulation model can be used to calculate parameters such as the motor's output torque and back-electromotive force. For the transmission system, the server can model components such as the crank arm and connecting rod to create a rigid-body dynamics simulation model. This rigid-body dynamics simulation model can be used to calculate parameters such as load inertia and stroke characteristics. For the transmission system, the server can also model key, vulnerable, and deformable components within the transmission system, such as the main shaft and insulating tie rods, to create a transient dynamics simulation model. This transient dynamics simulation model can be used to calculate parameters such as component deformation and stress distribution.

[0060] Step S204 , within a preset time period, each simulation model is initialized according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each simulation model to obtain an initial simulation model.

[0061] Preset parameters refer to parameters pre-configured for different simulation models. In one example, the lumped parameter simulation model, electromagnetic thermal coupling simulation model, rigid body dynamics simulation model, and transient dynamics simulation model are all pre-configured with their own preset parameters. Preset parameters for different simulation models can be transferred between different simulation models. Boundary conditions are used to define the state or behavior of a simulation model at a specific boundary. Boundary conditions can determine the operating environment and constraints of the simulation model. Excitation parameters are inputs or drive signals applied to the model during the simulation process. Excitation parameters can be various forms of external forces or influences and are typically used to simulate the response of the system.

[0062] Specifically, the server obtains preset parameters for each preconfigured simulation model and determines initial boundary conditions and initial excitation parameter values corresponding to the preset parameters. For the current simulation model, the server can initialize the current simulation model based on the initial boundary conditions and initial excitation parameter values corresponding to the current simulation model, thereby obtaining an initialized initial simulation model. The initial simulation model can be any of the following: a lumped parameter simulation model, an electromagnetic-thermal coupling simulation model, a rigid body dynamics simulation model, and a transient dynamics simulation model.

[0063] In one example, the server can simulate the current simulation model using a preset time period as the simulation time and initial boundary conditions and initial excitation parameter values corresponding to preset parameters as simulation conditions to obtain an initial simulation model. At this time, the parameters within the initial simulation model may change due to the simulation process, and different initial simulation models can output different simulation results. It should be understood that the simulation results of the initial simulation model can be used as boundary conditions or excitation function values of other initial simulation models. For example, the simulation results of the lumped parameter simulation model can be the excitation parameter values of the electromagnetic thermal coupling simulation model, and the simulation results of the electromagnetic thermal coupling simulation model can be the boundary conditions of the lumped parameter simulation model.

[0064] Step S206 : For each initial simulation model, bidirectionally transfer coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain transferred coupling parameters.

[0065] The coupling parameter is determined based on two interactive initial simulation models and preset parameters. The coupling parameter can be a partial parameter of the preset parameters, or an interaction parameter between two interactive initial simulation models. For example, a first parameter can be obtained through simulation for the first initial simulation model, and the first parameter can be used as a boundary condition or excitation parameter value for the second initial simulation model. In this case, the first parameter can be determined as a coupling parameter. Correspondingly, a second parameter can be obtained through simulation for the second initial simulation model, and the second parameter can be used as a boundary condition or excitation parameter value for the first initial simulation model. In this case, the second parameter can be determined as a coupling parameter.

[0066] Specifically, the server traverses each initial simulation model, determines the current simulation model and other initial simulation models that have an interactive relationship with the current simulation model, and obtains the coupling parameters between the current simulation model and the other initial simulation models. At this time, the coupling parameters include first-type coupling parameters and second-type coupling parameters, where the first-type coupling parameters are determined by the current simulation model and the second-type coupling parameters are determined by the other initial simulation models. Based on the pre-configured transfer relationship, the server sends the first-type coupling parameters from the current simulation model to the other initial simulation models, and sends the second-type coupling parameters from the other initial simulation models to the current simulation model, completing the bidirectional transfer. For different initial simulation models, they contain the transferred coupling parameters.

[0067] Step S208 : determining the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship based on the transferred coupling parameters.

[0068] Key parameters can be parameters used to determine the simulation error between the initial simulation model and other interactive initial simulation models. Key parameters can be determined by calculating coupling parameters and the simulation results of the initial simulation model. Convergence is used to characterize the degree of difference between the predicted key parameters and the actual key parameters. The degree of difference is generally inversely proportional to convergence.

[0069] Specifically, after bidirectional transfer, the server can calculate the transferred coupling parameters to determine key parameters between the initial simulation model and other initial simulation models with interactive relationships. Based on the values of the key parameters, the server can determine the convergence of the key parameters, thereby determining the convergence of each key parameter. In one example, the server can determine the key parameters between the lumped parameter simulation model and the electromagnetic-thermal coupling simulation model based on the transferred coupling parameters, and determine the convergence of the key parameters based on the preset value ranges corresponding to the key parameters.

[0070] Step S210 , when the convergence of key parameters in each initial simulation model meets the convergence completion condition, each initial simulation model is simulated based on the transferred coupling parameters to obtain a target simulation result corresponding to each initial simulation model.

[0071] Among them, the target simulation result is the simulation result obtained after the joint training of the initial simulation models when the convergence meets the convergence conditions.

[0072] Specifically, the convergence of the key parameters in each initial simulation model is determined, and it is determined whether each convergence meets the convergence completion condition. When the convergence meets the convergence completion condition, it can be determined that each initial simulation model has completed multi-level collaboration and a trained multi-level simulation model is obtained. Based on this, the server can simulate each initial simulation model in the multi-level simulation model separately, obtain the simulation results generated by each initial simulation model, and determine them as the target simulation results. For different simulation models, the output simulation results are different. For example, for the lumped parameter simulation model of the drive control system, parameters such as voltage and current can be output. For the electromagnetic thermal coupling simulation model of the servo motor body, torque, back electromotive force and other parameters can be output. For the rigid body dynamics simulation model of the transmission system, parameters such as load inertia and stroke characteristics can be output. For the transient dynamics simulation model of the vulnerable parts, parameters such as component deformation and stress distribution can be output. In addition, the server can merge the outputs of the above different simulation models according to the preset output logic to obtain multi-dimensional simulation results.

[0073] Optionally, the server can obtain a target simulation result, which can be a stroke characteristic curve output by the actuator. The stroke characteristic curve represents the stroke characteristics of the servo motor during the simulation over a certain period of time. The stroke characteristics can include speed, acceleration, force, and other characteristics. In one example, the target simulation result can be the transient stress distribution within a key vulnerable component during the opening and closing process.

[0074] Optionally, if the convergence of key parameters in each initial simulation model meets convergence completion conditions, the server can configure specific parameters in each initial simulation model based on the fault simulation strategy, simulate each initial simulation model, and obtain target simulation results. The server can use the target simulation results to perform fault diagnosis on the operating mechanism.

[0075] The above-mentioned multi-level collaborative simulation method for circuit breakers establishes multiple simulation models corresponding to the operating mechanism in the circuit breaker, such as the lumped parameter simulation model of the drive control system, the electromagnetic thermal coupling simulation model of the servo motor body, the rigid body dynamics simulation model of the transmission system, and the transient dynamics simulation model of the vulnerable parts. The above four models can constitute a four-level module with an associated relationship, and initialize each simulation model respectively according to the initial boundary conditions and initial excitation parameter values corresponding to the preset parameters of the simulation model to obtain an initial simulation model. Based on this, the server can determine the coupling parameters between the initial simulation model and other initial simulation models that have an interactive relationship with the initial simulation model, and transfer the coupling parameters in both directions, so that the parameters of the multi-level initial simulation models are exchanged, so that the initial simulation models can be collaboratively simulated. Afterwards, the server determines the convergence of the key parameters between the initial simulation model and the other initial simulation models based on the transferred coupling parameters. When the convergence meets the convergence completion condition, each initial simulation model completes internal collaboration, reducing the error caused by the data interaction between the initial simulation models and reducing the simulation accuracy of the initial simulation model. Afterwards, by simulating each initial simulation model separately, the target simulation results corresponding to each initial simulation model are obtained, which can improve the accuracy of the multi-level simulation model.

[0076] In an exemplary embodiment, the field quantity transfer relationship between the four-level modules includes a first transfer relationship between the drive control system and the servo motor body, a second transfer relationship between the servo motor body and the transmission system, and a third transfer relationship between the transmission system and the consumable parts; the coupling parameters after the transfer include updated excitation parameter values and updated boundary conditions. The updated excitation parameter values can merge or update the original initial excitation parameter values, and the updated boundary conditions can merge or update the original initial boundary conditions. The initial simulation model can be simulated based on the initial excitation parameter values and the updated excitation parameter values. Similarly, the initial simulation model can be simulated based on the initial boundary conditions and the updated boundary conditions.

[0077] The specific implementation process of the step of "bidirectionally transferring coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters" includes:

[0078] If the field quantity transfer relationship is the first transfer relationship, at least one of the voltage amplitude and the voltage duty cycle in the lumped parameter simulation model is sent to the electromagnetic-thermal coupling simulation model and determined as the updated excitation parameter value of the electromagnetic-thermal coupling simulation model; at least one of the back electromotive force, current, motor speed, angle and torque in the electromagnetic-thermal coupling simulation model is sent to the lumped parameter simulation model and determined as the updated boundary condition of the lumped parameter simulation model.

[0079] The four-level modules transfer field quantities between each other, and the coupling parameters after the transfer include updating the excitation parameter values and updating the boundary conditions. For lumped parameter simulation models, the coupling parameters can be the back EMF, current, motor speed, angle, and torque output by the electromagnetic-thermal coupling simulation model; for electromagnetic-thermal coupling simulation models, the coupling parameters can be the voltage amplitude and voltage duty cycle output by the lumped parameter simulation model.

[0080] Specifically, the server can determine the field quantity transfer relationship between the initial simulation model and other initial simulation models with an interactive relationship. If the field quantity transfer relationship is a first transfer relationship, the initial simulation model is determined to be a lumped parameter simulation model, and the other initial simulation models are electromagnetic thermal coupling simulation models. The server controls the lumped parameter simulation model to send at least one of the voltage amplitude and the voltage duty cycle to the electromagnetic thermal coupling simulation model, and use it as an updated excitation parameter value of the electromagnetic thermal coupling simulation model. The server also controls the electromagnetic thermal coupling simulation model to send at least one of the back electromotive force, current, motor speed, rotation angle, and torque to the lumped parameter simulation model, and use it as an updated boundary condition of the lumped parameter simulation model.

[0081] In this embodiment, by bidirectionally transferring the coupling parameters of the lumped parameter simulation model and the electromagnetic thermal coupling simulation model, the transferred coupling parameters are obtained, and the lumped parameter simulation model and the electromagnetic thermal coupling simulation model can be associated, thereby reducing the simulation error between the drive control system and the servo motor body and improving the accuracy of the association between the drive control system and the servo motor body.

[0082] In an exemplary embodiment, the specific implementation process of the step of "bidirectionally transferring coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters" includes:

[0083] If the field quantity transfer relationship is the second transfer relationship, the torque in the electromagnetic-thermal coupling simulation model is sent to the rigid body dynamics simulation model and determined as the updated excitation parameter value of the rigid body dynamics simulation model; at least one of the moment of inertia and the load torque in the rigid body dynamics simulation model is sent to the electromagnetic-thermal coupling simulation model and determined as the updated boundary condition of the electromagnetic-thermal coupling simulation model.

[0084] Among them, for the electromagnetic thermal coupling simulation model, the coupling parameters can also be parameters such as the moment of inertia and load torque output by the rigid body dynamics simulation model; for the rigid body dynamics simulation model, the coupling parameters can be the torque output by the electromagnetic thermal coupling simulation model.

[0085] Specifically, the server can determine the field quantity transfer relationship between the initial simulation model and other initial simulation models with an interactive relationship. If the field quantity transfer relationship is the second transfer relationship, the initial simulation model is determined to be an electromagnetic thermal coupling simulation model, and the other initial simulation models are rigid body dynamics simulation models. The server controls the electromagnetic thermal coupling simulation model to send torque to the rigid body dynamics simulation model, and uses it as an updated excitation parameter value for the rigid body dynamics simulation model. The server also controls the rigid body dynamics simulation model to send at least one of the moment of inertia and the load torque to the electromagnetic thermal coupling simulation model, and uses it as an updated boundary condition for the electromagnetic thermal coupling simulation model.

[0086] In this embodiment, by bidirectionally transferring the coupling parameters of the electromagnetic thermal coupling simulation model and the rigid body dynamics simulation model, the transferred coupling parameters are obtained, and the electromagnetic thermal coupling simulation model and the rigid body dynamics simulation model can be associated, thereby reducing the simulation error between the servo motor body and the transmission system and improving the accuracy of the association between the servo motor body and the transmission system.

[0087] In an exemplary embodiment, the specific implementation process of the step of "bidirectionally transferring coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters" includes:

[0088] If the field quantity transfer relationship is the third transfer relationship, the component force in the rigid body dynamics simulation model is sent to the transient dynamics simulation model and determined as the updated boundary condition of the transient dynamics simulation model; the total strain in the transient dynamics simulation model is sent to the rigid body dynamics simulation model and determined as the updated excitation parameter value of the transient dynamics simulation model.

[0089] Among them, for the rigid body dynamics simulation model, the coupling parameter can also be parameters such as the total strain output by the transient dynamics simulation model; for the transient dynamics simulation model, the coupling parameter can be the component force output by the rigid body dynamics simulation model.

[0090] Specifically, the server can determine the field quantity transfer relationship between the initial simulation model and other initial simulation models with an interactive relationship. If the field quantity transfer relationship is the third transfer relationship, the initial simulation model is determined to be a rigid body dynamics simulation model, and the other initial simulation models are transient dynamics simulation models. The server controls the rigid body dynamics simulation model to send the component force to the transient dynamics simulation model, and uses it as the updated boundary condition of the transient dynamics simulation model. The server also controls the transient dynamics simulation model to send the total strain to the rigid body dynamics simulation model, and uses it as the updated excitation parameter value of the rigid body dynamics simulation model.

[0091] In this embodiment, by bidirectionally transferring the coupling parameters of the rigid body dynamics simulation model and the transient dynamics simulation model, the transferred coupling parameters are obtained, and the rigid body dynamics simulation model and the transient dynamics simulation model can be associated, thereby reducing the simulation error between the transmission system and the vulnerable parts and improving the accuracy of the association between the transmission system and the vulnerable parts.

[0092] In an exemplary embodiment, Figure 3 As shown, convergence includes a first convergence between the drive control system and the servo motor body, a second convergence between the servo motor body and the transmission system, and a third convergence between the transmission system and the vulnerable parts; key parameters include motor current, the rotation angle of the motor output spindle, and the position of the parts. The step of "determining the convergence of key parameters between the initial simulation model and other initial simulation models with interactive relationships based on the transferred coupling parameters" includes steps S302 to S312. Among them:

[0093] Step S302 : determining the motor current according to the transferred coupling parameters corresponding to the lumped parameter simulation model and the electromagnetic thermal coupling simulation model.

[0094] Specifically, the server simulates the lumped parameter simulation model and the electromagnetic thermal coupling simulation model based on the transferred coupling parameters corresponding to the lumped parameter simulation model and the electromagnetic thermal coupling simulation model, respectively, to obtain simulation results, namely, field values corresponding to the lumped parameter simulation model and the electromagnetic thermal coupling simulation model, respectively. The server determines the corresponding key parameters based on the field values, namely, the motor current based on the voltage and resistance.

[0095] Step S304 : determining the rotation angle of the motor output shaft according to the transferred coupling parameters corresponding to the electromagnetic thermal coupling simulation model and the rigid body dynamics simulation model.

[0096] Specifically, the server simulates the electromagnetic-thermal coupling simulation model and the rigid-body dynamics simulation model based on the transferred coupling parameters corresponding to the electromagnetic-thermal coupling simulation model and the rigid-body dynamics simulation model, obtaining simulation results, namely, field values corresponding to the electromagnetic-thermal coupling simulation model and the rigid-body dynamics simulation model, respectively. Based on the field values, the server determines the corresponding key parameters, namely, the angle of the motor output spindle based on the motor speed, angle, torque, moment of inertia, and load torque.

[0097] Step S306 : determining the component position value according to the transferred coupling parameters corresponding to the rigid body dynamics simulation model and the transient dynamics simulation model.

[0098] Specifically, the server simulates the rigid-body dynamics simulation model and the transient dynamics simulation model based on the transferred coupling parameters corresponding to the rigid-body dynamics simulation model and the transient dynamics simulation model, obtaining simulation results, namely, the field values corresponding to the rigid-body dynamics simulation model and the transient dynamics simulation model, respectively. Based on the field values, the server determines the corresponding key parameters, namely, the component position based on the component force and total strain.

[0099] Step S308 : determining a first residual value corresponding to the motor current, and determining a first convergence corresponding to the first residual value.

[0100] Specifically, the server processes the actual simulated motor current and the estimated motor current to determine a first residual value. A first convergence of the first residual value is determined based on the magnitude of the first residual value and a preset first determination condition. In one example, the first convergence can be converged or not converged.

[0101] Step S310 , determining a second residual value corresponding to the rotation angle of the motor output main shaft, and determining a second convergence corresponding to the second residual value.

[0102] Specifically, the server processes the actual simulated motor output shaft rotation angle and the estimated motor output shaft rotation angle to determine a second residual value. A second convergence of the second residual value is determined based on the magnitude of the second residual value and a preset second determination condition. In one example, the second convergence can be converged or not converged.

[0103] Step S312: determining a third residual value corresponding to the component position value, and determining a third convergence corresponding to the third residual value.

[0104] Specifically, the server processes the component position values obtained from the actual simulation and the estimated component position values to determine a third residual value. Based on the magnitude of the third residual value and a preset third determination condition, a third convergence of the third residual value is determined. In one example, the third convergence can be converged or not converged.

[0105] In this embodiment, by determining the first convergence, the second convergence, and the third convergence according to the key parameters and the field quantity values after simulation, the accuracy of determining the convergence can be improved.

[0106] In an exemplary embodiment, after the step of “determining the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship based on the transferred coupling parameters”, the method further includes:

[0107] When the convergence of key parameters in each initial simulation model does not meet the convergence completion condition, the preset parameters corresponding to each initial simulation model are adjusted to obtain the adjusted preset parameters; the step of returning to execution within the preset time period, initializing each simulation model according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each simulation model, and obtaining the initial simulation model, until the convergence of key parameters meets the convergence completion condition, and the updated initial simulation model is obtained.

[0108] The convergence completion condition may be that the convergence is converged.

[0109] Specifically, within a preset time period, if the convergence of the key parameters corresponding to at least one initial simulation model does not meet the convergence completion condition, the server can adjust the preset parameters of each initial simulation model according to a preset convergence control algorithm, and return to the initialization step based on the adjusted preset parameters, that is, initialize each simulation model again based on the initial boundary conditions and initial excitation parameter values of the adjusted preset parameters to obtain the initial simulation model. In addition, the server continues to iterate, bidirectionally transfer the coupling parameters corresponding to the initial simulation model, and determine the convergence of the key parameters between the initial simulation models, thereby completing multiple updates of the convergence. When the convergence of the key parameters in each initial simulation model meets the convergence completion condition, the iteration is exited to obtain the final initial simulation model.

[0110] Optionally, when the convergence control algorithm is iteratively updating the preset parameters of the initial simulation model, if the number of iterations within a preset time period is greater than a preset maximum value, the iteration is exited, the simulation is terminated, and an error message is output.

[0111] In this embodiment, the preset parameters of the initial simulation model are adjusted through the convergence control algorithm, so as to repeat the simulation and determine whether the convergence of the key parameters meets the convergence completion conditions. The key parameters can be converged quickly, thereby improving the efficiency of multi-level simulation model collaboration.

[0112] In an exemplary embodiment, the preset time period is a unit time period, and the specific implementation process of the step of "simulating each initial simulation model based on the transferred coupling parameters to obtain a target simulation result corresponding to each initial simulation model" includes:

[0113] Based on the transferred coupling parameters, each initial simulation model is simulated separately to obtain the initial simulation results of each initial simulation model within a unit time period; in the next unit time period corresponding to the unit time period, the initial simulation results of each initial simulation model within the next unit time period are obtained; when the time range corresponding to multiple unit time periods exceeds the preset time range, multiple initial simulation results of each initial simulation model within the preset time range are obtained, and the multiple initial simulation results are determined as the target simulation results.

[0114] Specifically, within the current unit time period, and if the convergence of key parameters in each initial simulation model meets the convergence completion condition, the server can simulate each initial simulation model according to the transferred coupling parameters, as well as the initial boundary conditions and initial excitation parameter values of the preset parameters, to obtain the initial simulation results of the initial simulation model within the unit time period. After completing the simulation of the current unit time period, the server needs to determine whether the convergence of key parameters in the initial simulation model meets the convergence completion condition within the next unit time period. If the convergence of key parameters in each initial simulation model meets the convergence completion condition, the server can simulate each initial simulation model according to the transferred coupling parameters, as well as the initial boundary conditions and initial excitation parameter values of the preset parameters, to obtain the initial simulation results of the initial simulation model within the next unit time period. The server can iterate within each unit time period to determine the initial simulation results within each unit time period. If the time range formed by each unit time period exceeds the preset time range, the iteration is stopped, and the initial simulation results corresponding to each unit time period are merged to obtain the target simulation result.

[0115] In this embodiment, simulation results within a time range consisting of multiple unit time periods can be obtained through iteration. By simulating the simulation models of the unit time periods respectively, the simulation accuracy can be increased, thereby improving the accuracy of the target simulation results.

[0116] The specific execution process of the above-mentioned multi-level collaborative simulation of the circuit breaker is described in detail below with reference to a specific embodiment.

[0117] When simulating the operating mechanism of a high-voltage circuit breaker, the field quantity transfer method between the four-level modules of drive control system lumped parameter simulation - servo motor body electromagnetic thermal coupling simulation - transmission system multi-body dynamics simulation - vulnerable parts transient dynamics simulation can be used to coordinate multiple simulation modules. This can improve the simulation calculation accuracy of the servo motor operating mechanism for high-voltage circuit breakers and provide key technical support for the design and performance evaluation of high-voltage switches.

[0118] The key to establishing a multi-level collaborative simulation model of the servo motor operating mechanism for high-voltage circuit breakers is to clarify the main simulation content of each level of modules, the parameter coupling and transfer relationship between modules, and the calculation steps of the joint simulation.

[0119] 1. The main simulation contents of each module are as follows:

[0120] Lumped parameter simulation of drive control system: mainly models the resistors, capacitors, IGBTs and other components in the drive controller, and calculates the output voltage, current and other parameters of the drive control system through circuit simulation.

[0121] Servo motor body electromagnetic thermal coupling simulation: mainly models the stator, rotor, coil and other components of the servo motor body, and calculates the motor output torque, back electromotive force and other parameters through finite element simulation.

[0122] Multi-body dynamics simulation of the transmission system: mainly models the crank arm, connecting rod and other components of the transmission system, and calculates parameters such as load inertia and stroke characteristics through multi-body dynamics simulation.

[0123] Transient dynamic simulation of vulnerable parts: This mainly models key vulnerable parts in the transmission system and parts that may have large deformations, such as the main shaft and insulating pull rods. Through transient dynamic simulation, parameters such as component deformation and stress distribution are calculated.

[0124] 2. The field quantity transfer relationship between modules is as follows:

[0125] Between the drive control system and the servo motor body, the drive control system sends specific waveform parameters such as voltage amplitude and duty cycle to the servo motor body as excitation parameter conditions for servo motor simulation; the servo motor feeds back parameters such as back electromotive force, current, motor speed, angle, torque, etc. to the drive control system as control input parameters of the drive control system.

[0126] Between the servo motor body and the transmission system, the servo motor transmits the output torque to the transmission system as the excitation parameter for the transmission system simulation; the transmission system feeds back parameters such as the moment of inertia and load torque to the motor body as the boundary conditions for the servo motor simulation.

[0127] Between the transmission system and the vulnerable parts, the transmission system transfers the component forces to the vulnerable parts as the boundary conditions of the component simulation; the vulnerable parts transfer parameters such as the total strain to the transmission system as the input parameters of the transmission system simulation.

[0128] 3. Calculation steps of joint simulation calculation:

[0129] Step 1: Establish a lumped parameter simulation model of the drive control system, an electromagnetic thermal coupling simulation model of the servo motor body, a rigid body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts.

[0130] Step 2: For the preset parameters that need to be transferred between models at all levels, complete the variable name definition and initial value assignment, and define the boundaries or incentives corresponding to each parameter in each model;

[0131] Step 3: Under the current boundary and excitation parameter values, the four-level model is calculated independently for one time step to obtain the initial values of all field quantities and the initialized models of each level;

[0132] In step 4, complete the coupling parameter transfer and perform convergence checks on some key parameters. For example, the convergence between the drive control system and the servo motor is mainly checked for motor current, the rotation angle of the motor output spindle is mainly checked between the servo motor and the transmission system, and the position of the components is mainly checked between the transmission system and the vulnerable parts. If convergence does not meet the requirements, skip to step 5; otherwise, skip to step 6.

[0133] In step 5, adjust the corresponding parameters of each simulation stage according to the preset convergence control algorithm, and perform another simulation calculation for each stage independently. If the number of iterations in the current time step exceeds the preset maximum, the simulation ends and an error message is output; otherwise, jump to step 4.

[0134] Step 6: Move forward one time step. If the preset calculation time range is exceeded, the simulation calculation is terminated, otherwise jump to step 3.

[0135] Optionally, by performing multi-machine collaborative simulation calculations of the servo motor operating mechanism through the above steps, the stroke characteristic curve output by the operating mechanism can be accurately obtained. Application scenarios include:

[0136] 1. Servo motor control algorithm optimization. Through co-simulation, the entire process from control algorithm to output stroke characteristics can be integrated. After the control algorithm is adjusted, the changes in the output stroke characteristics can be intuitively observed. With the goal of minimizing the average and maximum deviations between the simulated output stroke characteristic curve and the planned stroke characteristic curve, the key control parameters of the control algorithm are iteratively optimized.

[0137] 2. Verify and optimize the mechanical strength of vulnerable components. Through co-simulation, the transient stress distribution within key vulnerable components during the opening and closing processes can be observed, allowing strength verification by comparing it with the material yield stress. Based on this, the shape parameters of key components are optimized with the goal of minimizing transient stress. Furthermore, load spectra can be extracted based on the transient stress distribution to assess and optimize the lifespan of vulnerable components.

[0138] 3. Multi-scenario fault simulation. In the joint simulation, faults are simulated by setting specific parameters in the simulation, which intuitively reflects the characteristics of each component of the servo motor operating mechanism under fault conditions, thus providing a basis for fault diagnosis and early detection during operation.

[0139] In the embodiment of the present application, errors caused by steps such as equivalence and conversion are avoided through multi-stage joint simulation of drive control-servo motor-transmission system-wearable parts. The cumulative error caused by multi-stage transmission is realized through convergence control within each time step, thereby improving the simulation accuracy.

[0140] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0141] Based on the same inventive concept, embodiments of the present application also provide a circuit breaker multi-level collaborative simulation device for implementing the aforementioned circuit breaker multi-level collaborative simulation method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the circuit breaker multi-level collaborative simulation device provided below can be found in the above-mentioned limitations of the circuit breaker multi-level collaborative simulation method and will not be further elaborated here.

[0142] In an exemplary embodiment, Figure 4 As shown, a circuit breaker multi-level collaborative simulation device 400 is provided, comprising: a model building module 401, a model initialization module 402, a parameter transfer module 403, a convergence determination module 404 and a simulation module 405, wherein:

[0143] Model building module 401 is used to establish a simulation model corresponding to the operating mechanism in the circuit breaker; the operating mechanism includes a drive control system, a servo motor body, a transmission system, and vulnerable parts; the simulation model includes a four-level module consisting of a lumped parameter simulation model of the drive control system, an electromagnetic thermal coupling simulation model of the servo motor body, a rigid body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts;

[0144] The model initialization module 402 is used to initialize each simulation model according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each simulation model within a preset time period to obtain an initial simulation model;

[0145] A parameter transfer module 403 is configured to bidirectionally transfer coupling parameters between each initial simulation model and other initial simulation models having an interactive relationship, thereby obtaining the transferred coupling parameters; the coupling parameters are determined based on the two initial simulation models having an interactive relationship and preset parameters;

[0146] A convergence determination module 404 is configured to determine the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship based on the transferred coupling parameters;

[0147] The simulation module 405 is used to simulate each initial simulation model based on the transferred coupling parameters when the convergence of key parameters in each initial simulation model meets the convergence completion condition, and obtain the target simulation results corresponding to each initial simulation model.

[0148] Furthermore, the field quantity transfer relationship between the four-level modules includes a first transfer relationship between the drive control system and the servo motor body, a second transfer relationship between the servo motor body and the transmission system, and a third transfer relationship between the transmission system and the vulnerable parts; the coupling parameters after transfer include updated excitation parameter values and updated boundary conditions; the parameter transfer module 403 is specifically used to: if the field quantity transfer relationship is the first transfer relationship, then at least one of the voltage amplitude and voltage duty cycle in the lumped parameter simulation model is sent to the electromagnetic thermal coupling simulation model, and determined as the updated excitation parameter value of the electromagnetic thermal coupling simulation model; at least one of the back electromotive force, current, motor speed, angle and torque in the electromagnetic thermal coupling simulation model is sent to the lumped parameter simulation model, and determined as the updated boundary condition of the lumped parameter simulation model.

[0149] Furthermore, the parameter transfer module 403 is specifically used to: if the field quantity transfer relationship is the second transfer relationship, send the torque in the electromagnetic-thermal coupling simulation model to the rigid body dynamics simulation model, and determine it as the updated excitation parameter value of the rigid body dynamics simulation model; send at least one of the moment of inertia and load torque in the rigid body dynamics simulation model to the electromagnetic-thermal coupling simulation model, and determine it as the updated boundary condition of the electromagnetic-thermal coupling simulation model.

[0150] Furthermore, the parameter transfer module 403 is specifically used to: if the field quantity transfer relationship is the third transfer relationship, the component force in the rigid body dynamics simulation model is sent to the transient dynamics simulation model, and is determined as the updated boundary condition of the transient dynamics simulation model; the total strain in the transient dynamics simulation model is sent to the rigid body dynamics simulation model, and is determined as the updated excitation parameter value of the transient dynamics simulation model.

[0151] Furthermore, the convergence includes a first convergence between the drive control system and the servo motor body, a second convergence between the servo motor body and the transmission system, and a third convergence between the transmission system and the vulnerable parts; the key parameters include the motor current, the rotation angle of the motor output spindle, and the component position; the convergence determination module 404 is specifically used to: determine the motor current according to the transferred coupling parameters corresponding to the lumped parameter simulation model and the electromagnetic thermal coupling simulation model; determine the rotation angle of the motor output spindle according to the transferred coupling parameters corresponding to the electromagnetic thermal coupling simulation model and the rigid body dynamics simulation model; determine the component position according to the transferred coupling parameters corresponding to the rigid body dynamics simulation model and the transient dynamics simulation model; determine the first residual value corresponding to the motor current, and determine the first convergence corresponding to the first residual value; determine the second residual value corresponding to the rotation angle of the motor output spindle, and determine the second convergence corresponding to the second residual value; determine the third residual value corresponding to the component position, and determine the third convergence corresponding to the third residual value.

[0152] Furthermore, the device also includes a model updating module, which is specifically used to: when the convergence of key parameters in each initial simulation model does not meet the convergence completion conditions, adjust the preset parameters corresponding to each initial simulation model to obtain the adjusted preset parameters; return to the execution within a preset time period, initialize each simulation model according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each simulation model, and obtain the steps of the initial simulation model, until the convergence of key parameters meets the convergence completion conditions, and obtain the updated initial simulation model.

[0153] Furthermore, the preset time period is a unit time period, and the simulation module 405 is specifically used to: simulate each initial simulation model separately based on the transferred coupling parameters to obtain the initial simulation results of each initial simulation model within the unit time period; obtain the initial simulation results of each initial simulation model within the next unit time period corresponding to the unit time period; when the time range corresponding to multiple unit time periods exceeds the preset time range, obtain multiple initial simulation results of each initial simulation model within the preset time range, and determine the multiple initial simulation results as the target simulation results.

[0154] Each module in the aforementioned multi-level collaborative circuit breaker simulation device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0155] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store simulation results after circuit breaker simulation. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a multi-level collaborative simulation method for a circuit breaker is implemented.

[0156] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0157] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0158] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0159] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0160] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0161] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0162] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A multi-level collaborative simulation method for a circuit breaker, characterized in that: The method comprises: Establish a simulation model corresponding to the operating mechanism in the circuit breaker; the operating mechanism includes a drive control system, a servo motor body, a transmission system, and vulnerable parts; the simulation model includes a four-level module consisting of a lumped parameter simulation model of the drive control system, an electromagnetic thermal coupling simulation model of the servo motor body, a rigid body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts; Initializing each of the simulation models within a preset time period according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each of the simulation models to obtain an initial simulation model; For each of the initial simulation models, bidirectionally transfer coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain transferred coupling parameters; the coupling parameters are determined based on the two initial simulation models having an interactive relationship and the preset parameters; Determining convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship based on the transferred coupling parameters; When the convergence of the key parameters in each of the initial simulation models meets the convergence completion condition, each of the initial simulation models is simulated based on the transferred coupling parameters to obtain the target simulation results corresponding to each of the initial simulation models.

2. The method according to claim 1, characterized in that The field quantity transfer relationship between the four-level modules includes a first transfer relationship between the drive control system and the servo motor body, a second transfer relationship between the servo motor body and the transmission system, and a third transfer relationship between the transmission system and the consumable component; the coupling parameters after the transfer include updated excitation parameter values and updated boundary conditions; The bidirectionally transferring the coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters includes: If the field quantity transfer relationship is the first transfer relationship, at least one of the voltage amplitude and the voltage duty cycle in the lumped parameter simulation model is sent to the electromagnetic-thermal coupling simulation model and determined as an updated excitation parameter value of the electromagnetic-thermal coupling simulation model; At least one of the back electromotive force, current, motor speed, rotation angle and torque in the electromagnetic thermal coupling simulation model is sent to the lumped parameter simulation model and determined as an updated boundary condition of the lumped parameter simulation model.

3. The method according to claim 2, characterized in that The bidirectionally transferring the coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters includes: If the field quantity transfer relationship is the second transfer relationship, sending the torque in the electromagnetic-thermal coupling simulation model to the rigid body dynamics simulation model and determining it as an updated excitation parameter value of the rigid body dynamics simulation model; At least one of the moment of inertia and the load torque in the rigid body dynamics simulation model is sent to the electromagnetic thermal coupling simulation model and determined as an updated boundary condition of the electromagnetic thermal coupling simulation model.

4. The method according to claim 2, characterized in that The bidirectionally transferring the coupling parameters between the initial simulation model and other initial simulation models having an interactive relationship to obtain the transferred coupling parameters includes: If the field quantity transfer relationship is the third transfer relationship, the component forces in the rigid body dynamics simulation model are sent to the transient dynamics simulation model and determined as update boundary conditions of the transient dynamics simulation model; The total strain in the transient dynamics simulation model is sent to the rigid body dynamics simulation model and determined as an updated excitation parameter value of the transient dynamics simulation model.

5. The method according to claim 1, wherein The convergence includes a first convergence between the drive control system and the servo motor body, a second convergence between the servo motor body and the transmission system, and a third convergence between the transmission system and the consumable component; the key parameters include motor current, the rotation angle of the motor output spindle, and component position; The determining, based on the transferred coupling parameters, the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship includes: determining the motor current according to the transferred coupling parameters corresponding to the lumped parameter simulation model and the electromagnetic thermal coupling simulation model; Determining the rotation angle of the motor output spindle according to the transferred coupling parameters corresponding to the electromagnetic thermal coupling simulation model and the rigid body dynamics simulation model; Determining the component position according to the transferred coupling parameters corresponding to the rigid body dynamics simulation model and the transient dynamics simulation model; determining a first residual value corresponding to the motor current, and determining a first convergence corresponding to the first residual value; determining a second residual value corresponding to a rotation angle of an output spindle of the motor, and determining a second convergence corresponding to the second residual value; A third residual value corresponding to the component position value is determined, and a third convergence corresponding to the third residual value is determined.

6. The method according to claim 1, characterized in that After determining the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship based on the transferred coupling parameters, the method further includes: When the convergence of the key parameters in each of the initial simulation models does not satisfy the convergence completion condition, adjusting the preset parameters corresponding to each of the initial simulation models to obtain adjusted preset parameters; Return to executing the step of initializing each of the simulation models according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each of the simulation models within the preset time period to obtain the initial simulation model, until the convergence of the key parameters meets the convergence completion condition, thereby obtaining an updated initial simulation model.

7. The method according to claim 6, characterized in that The preset time period is a unit time period; and each of the initial simulation models is simulated based on the transferred coupling parameters to obtain a target simulation result corresponding to each of the initial simulation models, including: Simulating each of the initial simulation models based on the transferred coupling parameters to obtain an initial simulation result of each of the initial simulation models within the unit time period; In a next unit time period corresponding to the unit time period, obtaining an initial simulation result of each of the initial simulation models in the next unit time period; When the time range corresponding to the plurality of unit time periods exceeds the preset time range, a plurality of initial simulation results of each of the initial simulation models within the preset time range are obtained, and the plurality of initial simulation results are determined to be the target simulation results.

8. A multi-level collaborative simulation device for a circuit breaker, characterized in that: The device comprises: A model building module is used to establish a simulation model corresponding to the operating mechanism in the circuit breaker; the operating mechanism includes a drive control system, a servo motor body, a transmission system, and vulnerable parts; the simulation model includes a four-level module consisting of a lumped parameter simulation model of the drive control system, an electromagnetic thermal coupling simulation model of the servo motor body, a rigid body dynamics simulation model of the transmission system, and a transient dynamics simulation model of the vulnerable parts; A model initialization module is used to initialize each of the simulation models within a preset time period according to the initial boundary conditions and initial excitation parameter values of the preset parameters in each of the simulation models to obtain an initial simulation model; a parameter transfer module, configured to bidirectionally transfer coupling parameters between each of the initial simulation models and other initial simulation models having an interactive relationship, thereby obtaining the transferred coupling parameters; the coupling parameters being determined based on the two initial simulation models having an interactive relationship and the preset parameters; a convergence determination module, configured to determine, based on the transferred coupling parameters, the convergence of key parameters between the initial simulation model and other initial simulation models having an interactive relationship; The simulation module is used to simulate each of the initial simulation models based on the transferred coupling parameters when the convergence of the key parameters in each of the initial simulation models meets the convergence completion condition, so as to obtain the target simulation results corresponding to each of the initial simulation models.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images