Switch cabinet mechanism model construction method, system, equipment and medium

Abstract

The invention relates to the technical field of switch cabinet simulation, in particular to a switch cabinet mechanism model construction method, system and device and a medium, and the method comprises the steps: generating a three-dimensional model corresponding to a switch cabinet, carrying out the preprocessing of the three-dimensional model to obtain a simulation model, applying a target parameter in an actual use scene to the simulation model to complete the parameter loading, and obtaining a parameterized model, determining a target relational expression of the switch cabinet, unifying an expression structure and modeling requirements of the switch cabinet, combining the target relational expression with the parameterized model, and generating a mechanism model through modeling processing; simulation adaptability and calculation efficiency are improved through structure simplification and grid division, actual operation parameters are loaded to reflect different working condition characteristics, an electromagnetic field, temperature field and electromagnetic loss multi-physical relational expression is constructed to achieve unified modeling, a mechanism model capable of being used for multiple operation conditions is formed, and the method is suitable for large-scale popularization and application. The method is suitable for application scenes such as switch cabinet design verification, operation maintenance and fault pre-judgment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of switch cabinet simulation, and in particular to a switch cabinet mechanism model construction method, system, device and medium. BACKGROUND

[0002] With the continuous expansion of the scale of the power system and the continuous rise of the structural complexity, the switch cabinet, as a key device in the power system that undertakes the core functions of power distribution, control and protection, its operation state directly affects the safety and stability of the entire power grid. At present, the operation and maintenance of the switch cabinet mainly relies on the traditional way of artificial periodic inspection and post-maintenance, which can guarantee the basic operation safety in the initial stage, but has been difficult to meet the real-time and refined management requirements of the modern power system.

[0003] However, the traditional operation and maintenance mode relies only on manual means, and it is difficult to grasp the internal operation state of the switch cabinet in a timely manner, and there is a problem that potential fault hidden dangers are difficult to be found and located early. Therefore, relevant technical personnel propose to construct a mechanism model of the switch cabinet to realize accurate simulation and prediction of the state of the switch cabinet, so as to improve the operation and maintenance efficiency and fault warning capability. Therefore, how to accurately construct the mechanism model of the switch cabinet in combination with the actual use scene and the physical relationship to improve the simulation effect has become an important research topic and an urgent problem to be solved in the current technical research. SUMMARY

[0004] In view of the above existing problems, the present application is proposed.

[0005] Therefore, the present application provides a switch cabinet mechanism model construction method and system, which solves the problem that the traditional operation and maintenance mode cannot grasp the internal state of the switch cabinet in real time and is difficult to find potential faults in a timely manner. By equivalent the target parameters in the actual use scene to the pretreated three-dimensional simulation model and combining the multi-physical relationship formulas such as electromagnetic field, temperature field and electromagnetic loss, the mechanism model of the switch cabinet is accurately constructed, thereby the simulation precision and operation state evaluation capability of the switch cabinet are significantly improved, and the predictability of the fault and the operation and maintenance efficiency of the system are enhanced.

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] In a first aspect, the present application provides a switch cabinet mechanism model construction method, comprising:

[0008] generating a three-dimensional model corresponding to the switch cabinet, and pretreating the three-dimensional model to obtain a simulation model;

[0009] applying target parameters of the switch cabinet in the actual use scene to the simulation model to complete a parameter loading process, and obtaining a parameterized model;

[0010] Determine the target relationship of the switch cabinet, and unify the expression structure of the target relationship and the modeling requirements;

[0011] Combine the target relationship with the parameterized model, and generate the mechanism model of the switch cabinet through the modeling processing process.

[0012] As a preferred scheme of the switch cabinet mechanism model construction method, the three-dimensional model corresponding to the switch cabinet is generated, and the three-dimensional model is preprocessed to obtain a simulation model, including:

[0013] A three-dimensional model corresponding to the switch cabinet is generated, and the three-dimensional model is simplified based on a preset simplification rule to obtain a simplified model;

[0014] The simplified model is meshed to obtain a simulation model corresponding to the switch cabinet.

[0015] As a preferred scheme of the switch cabinet mechanism model construction method, the target parameters of the switch cabinet in the actual use scene are applied to the simulation model to complete the parameter loading process, and a parameterized model is obtained, including:

[0016] Perform target parameter processing;

[0017] Load the target parameters into the simulation model to make the model have corresponding operating characteristics;

[0018] Form a parameterized model adapted to the use scene through parameter loading.

[0019] As a preferred scheme of the switch cabinet mechanism model construction method, the target parameters of the switch cabinet in the actual use scene are applied to the simulation model to complete the parameter loading process, and a parameterized model is obtained, including:

[0020] Perform target parameter processing;

[0021] Load the target parameters into the simulation model to make the model have corresponding operating characteristics;

[0022] Form a parameterized model adapted to the use scene through parameter loading.

[0023] The simplified model is meshed to obtain a simulation model corresponding to the switch cabinet, including:

[0024] Classify the components in the simplified model into key components and non-key components;

[0025] Mesh the key components based on a fine grid size, and mesh the non-key components based on a coarse grid size to obtain a simulation model corresponding to the switch cabinet.

[0026] As a preferred scheme of the switch cabinet mechanism model construction method, the target relationship of the switch cabinet is determined, and the expression structure of the target relationship and the modeling requirements are uniformly processed, comprising:

[0027] The magnetic permeability, vector magnetic potential, electrical conductivity and scalar potential of the switch cabinet in the electromagnetic field are determined;

[0028] The electromagnetic field relationship of the switch cabinet is constructed according to the magnetic permeability, vector magnetic potential, electrical conductivity and scalar potential;

[0029] The density, specific heat capacity, unit heat source and thermal conductivity of the switch cabinet in the temperature field are determined;

[0030] The temperature field relationship of the switch cabinet is constructed according to the density, specific heat capacity, unit heat source and thermal conductivity;

[0031] The source current density, electrical conductivity, vector magnetic potential and scalar potential of the switch cabinet in the electromagnetic field are determined;

[0032] The electromagnetic loss relationship of the switch cabinet is constructed according to the source current density, electrical conductivity, vector magnetic potential and scalar potential.

[0033] The beneficial effects of the preferred technical scheme are that by determining the key parameters required for the operation of the switch cabinet in the electromagnetic field, temperature field and electromagnetic loss in three directions, and sequentially constructing the corresponding physical relationship, multiple types of physical field information can be introduced in the unified modeling process, ensuring the applicability and accuracy of the model under different operating conditions; this method can take into account the distribution characteristics of electric field and magnetic field, temperature variation law and energy loss under electromagnetic action when constructing the mechanism model, thereby completely characterizing the comprehensive operating state of the switch cabinet; by combining these relationship with the parameterized model, the model can reflect the multi-physical field coupling characteristics under actual working conditions, providing a reliable calculation basis for subsequent simulation analysis, state evaluation and fault diagnosis, and improving the usability and stability of the model in engineering applications.

[0034] As a preferred scheme of the switch cabinet mechanism model construction method, the electromagnetic field relationship of the switch cabinet constructed according to the magnetic permeability, vector magnetic potential, electrical conductivity and scalar potential is represented as:

[0035]

[0036] Wherein, μ represents the magnetic permeability, A represents the vector magnetic potential, σ represents the electrical conductivity, The partial derivative is represented as t represents time, The scalar potential is represented as The gradient is represented as The divergence is represented as

[0037] The temperature field relationship formula of the switch cabinet is constructed according to the density, the specific heat capacity, the unit heat source and the thermal conductivity coefficient, and is expressed as:

[0038]

[0039] Wherein, T represents temperature, p represents density, c represents specific heat capacity, q represents unit heat source, and l represents thermal conductivity coefficient; x, y and z represent corresponding coordinate values in the space direction.

[0040] The electromagnetic loss relationship formula of the switch cabinet is constructed according to the source current density, the conductivity, the vector magnetic potential and the scalar potential, and is expressed as:

[0041]

[0042] Wherein, J t represents total current density, Q represents electromagnetic loss, J s represents source current density, j represents imaginary unit, omega represents angular frequency, sigma represents conductivity, A represents vector magnetic potential, represents scalar potential, and integral dv e represents integration on the entire conductive material area of the switch cabinet, represents the complex conjugate of J t , and nabla represents gradient.

[0043] The beneficial effects of the preferred technical scheme are as follows: by introducing multiple physical parameters such as magnetic permeability, vector magnetic potential, conductivity, scalar potential, density, specific heat capacity, unit heat source, thermal conductivity coefficient and source current density into the model construction process, the electromagnetic field relationship formula, the temperature field relationship formula and the electromagnetic loss relationship formula are respectively established, the comprehensive expression of the switch cabinet in the electromagnetic field, the temperature field and the loss characteristics is realized, the coupling relationship between the physical quantities can be accurately reflected in the modeling process, a unified mathematical description is provided for the multi-physical field calculation, the model can be closer to the real operation state of the switch cabinet, through this way, reliable data basis can be provided for subsequent simulation calculation, parameter analysis and operation state evaluation, and accurate simulation and performance analysis of the switch cabinet under different operation conditions are supported.

[0044] As a preferred scheme of the switch cabinet mechanism model construction method, the target relationship formula is combined with the parameterized model to generate the mechanism model of the switch cabinet through the modeling process, and the modeling process comprises the following steps:

[0045] In the modeling process, the electromagnetic field relationship formula is combined with the parameterized model;

[0046] The temperature field relationship formula is combined with the parameterized model;

[0047] ​combine the electromagnetic loss relation with the parameterized model;

[0048] Based on the above combination result, the switch cabinet mechanism model is constructed.

[0049] In a second aspect, the present application provides a switch cabinet mechanism model construction system, comprising:

[0050] A first model construction module is configured to generate a three-dimensional model corresponding to the switch cabinet, and to preprocess the three-dimensional model to obtain a simulation model;

[0051] A second model construction module is configured to equivalently set target parameters of the switch cabinet in an actual use scenario to the simulation model to obtain a parameterized model;

[0052] A relation determination module is configured to determine a target relation of the switch cabinet, wherein the target relation comprises an electromagnetic field relation, a temperature field relation and an electromagnetic loss relation;

[0053] A third model construction module is configured to construct a mechanism model corresponding to the switch cabinet according to the target relation and the parameterized model.

[0054] In a third aspect, the present application provides an electronic device, comprising:

[0055] a memory and a processor;

[0056] The memory is configured to store computer executable instructions, and the processor is configured to execute the computer executable instructions, so as to implement the steps of the switch cabinet mechanism model construction method.

[0057] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer executable instructions, and the computer executable instructions are executed by the processor to implement the steps of the switch cabinet mechanism model construction method.

[0058] Compared with the prior art, the application has the beneficial effects that: the application improves the adaptability and processing efficiency of the model in simulation calculation by generating a three-dimensional model of the switch cabinet and performing structure simplification and meshing, solves the problems of low modeling efficiency and calculation errors of the traditional modeling; by loading the target parameters under the actual running scene into the model, the model can reflect the real running characteristics under different working conditions, and the accurate characterization ability of the running state is enhanced; by constructing the multi-physical relationship formula covering the electromagnetic field, the temperature field and the electromagnetic loss, the unified modeling of the multi-field coupling effect in the switch cabinet is realized, and the key performance indicators such as temperature rise and energy loss can be comprehensively covered; after the multi-physical relationship formula is combined with the parameterized model, a mechanism model suitable for multiple running conditions is formed, which provides a reliable basis for operation monitoring, thermal design optimization and structure improvement, so as to improve the calculation efficiency while maintaining the simulation accuracy, and is suitable for engineering application scenarios such as switch cabinet design verification, operation maintenance and fault prediction. BRIEF DESCRIPTION OF DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0060] Figure 1 The whole flowchart of a switch cabinet mechanism model construction method according to an embodiment of the application.

[0061] Figure 2 The micrograph of the conductor lap joint surface of a switch cabinet mechanism model construction method according to an embodiment of the application.

[0062] Figure 3 The S1 flowchart of a switch cabinet mechanism model construction method according to an embodiment of the application.

[0063] Figure 4 The S3 flowchart of a switch cabinet mechanism model construction method according to an embodiment of the application.

[0064] Figure 5 The module diagram of a switch cabinet mechanism model construction system according to an embodiment of the application.

[0065] Figure 6 The device diagram of a switch cabinet mechanism model construction method according to an embodiment of the application. DETAILED DESCRIPTION

[0066] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present application.

[0067] Embodiment 1, refer to Figure 1 For an embodiment of the present application, a switch cabinet mechanism model construction method is provided, comprising:

[0068] S1: generating a three-dimensional model corresponding to the switch cabinet, and preprocessing the three-dimensional model to obtain a simulation model;

[0069] S2: applying target parameters of the switch cabinet in an actual use scenario to the simulation model to complete a parameter loading process, and obtaining a parameterized model;

[0070] S3: determining a target relationship formula of the switch cabinet, and uniformly processing the expression structure and modeling requirements of the target relationship formula;

[0071] S4: combining the target relationship formula with the parameterized model, and generating a mechanism model of the switch cabinet through a modeling processing process.

[0072] It should be noted that in the operation and design process of the switch cabinet, accurately reflecting its real state under different working conditions is the key to performance evaluation, fault prediction and structure optimization. However, the traditional modeling method has many shortcomings in data acquisition, structure restoration and physical property expression, such as low simulation calculation efficiency caused by complex three-dimensional model structure, result deviation caused by disconnection between parameters and actual operation scene, and difficulty in comprehensively reflecting the real operation situation caused by lack of unified relationship formula among multi-physical fields; these problems are particularly prominent in thermal management, electromagnetic compatibility evaluation and life prediction of complex devices such as high-voltage switch cabinets.

[0073] Therefore, in order to solve the problems of insufficient model accuracy, low calculation efficiency and difficulty in unifying multi-field coupling, through the steps of S1-S4, firstly, in S1, the three-dimensional model corresponding to the switch cabinet is generated and pretreated to reduce the influence of redundant structures on simulation calculation, and a simulation model directly used for modeling is obtained; in S2, the target parameters in the actual running scene are loaded to enable the model to accurately reflect the running characteristics under different environmental and working conditions; in S3, the multi-physical relationship formulas such as electromagnetic field, temperature field and electromagnetic loss are constructed and unified to ensure that the model can completely express the multi-field coupling characteristics; finally, in S4, the above relationship formulas and the parameterized model are combined to form a mechanism model that can be used for multiple running conditions, thereby significantly improving the calculation efficiency and applicability while ensuring the simulation accuracy, and providing reliable support for the design verification, operation monitoring, thermal design optimization and fault prediction of the switch cabinet.

[0074] Embodiment 2, refer to Figures 2-4 For an embodiment of the present application, based on the above embodiment, a switch cabinet mechanism model construction method is provided.

[0075] In the embodiments of the present application, in step S1, a three-dimensional model corresponding to the switch cabinet is generated, and the three-dimensional model is pretreated to obtain a simulation model, as shown in Figure 3 , which includes:

[0076] S11: generating a three-dimensional model corresponding to the switch cabinet, and simplifying the three-dimensional model based on a preset simplification rule to obtain a simplified model;

[0077] S12: meshing the simplified model to obtain a simulation model corresponding to the switch cabinet.

[0078] It should be noted that pretreating the three-dimensional model can effectively reduce the detailed structures in the model that have less influence on the analysis results, thereby reducing the number of meshing, improving the mesh quality and overall calculation efficiency, without affecting the simulation calculation accuracy. Through the part deletion rule, small instruments, supports, mounting plates and other parts that have less influence on electromagnetic field and temperature field analysis are removed, and the small structures of non-conductive circuits are simplified, which can reduce unnecessary calculation burden; through the part merging rule, the main parts participating in conduction are merged to reduce structure segmentation and improve model coherence, which is helpful for simulation convergence; in combination with the actual structure and functional characteristics of the switch cabinet, the model is optimized in a targeted manner, so that the generated simulation model can accurately reflect the electromagnetic and thermal characteristics of the key components, and can adapt to the modeling needs of different types of insulation and internal structure layout, thereby providing an efficient and reliable basic model for subsequent multi-physical field analysis.

[0079] Specifically, the preset simplification rules in S11 include a component deletion rule and a component combination rule; the component deletion rule can include retaining the conductive parts of the busbar and the circuit breaker arm, and removing small instruments, supports, mounting plates and other components that have less influence on the analysis of electromagnetic fields and temperature fields; small components with irregular geometric shapes in non-conductive circuits are simplified, protrusions and sharp corners are deleted, bolts in the model are removed, holes are filled with solid, the number of grid division of small components is reduced, and the quality of the grid is improved; the above-mentioned component deletion rule can include combining the main components involved in conduction, such as busbars, circuit breaker moving contacts, static contacts, and arm.

[0080] And the switch cabinet in the power grid is to receive and distribute electric energy, and the definition is a complete power distribution device integrating key components such as busbars, grounding switches, transformers, grounding shells, circuit breakers, etc.

[0081] S11-S12 uses computer-aided design software or three-dimensional modeling software to generate a three-dimensional model corresponding to the switch cabinet according to the actual structure, size and internal element layout of the switch cabinet; since the generated three-dimensional model contains parts that have little effect on the simulation results, these parts are optimized by preprocessing the three-dimensional model to obtain a simulation model.

[0082] For example, high-voltage switch cabinets below 40.5kV usually use air insulation as the main insulation method inside the cabinet; SF6 gas (sulfur hexafluoride gas) insulated switch cabinet is to concentrate circuit breakers, cables, busbars and other key electrical equipment in a sealed metal shell, and then SF6 gas is introduced into the sealed chamber, which has better insulation and arc extinguishing performance than general air insulated switch cabinets; solid insulation switch cabinet is to use solid epoxy resin as insulation material, and electrical equipment and conductive circuits are packaged into modules, and the surface of all modules is added with a conductive shielding layer and reliably grounded; switch cabinets can be divided into instrument rooms, busbar rooms, circuit breaker trolley rooms and cable rooms according to different areas, and the top of the cabinet is equipped with a pressure relief device, and the insulation method inside the cabinet is air insulation.

[0083] In an alternative embodiment, the preprocessing of the three-dimensional model in step S1 can also introduce a structure interference detection and automatic optimization function, which uses three-dimensional modeling software to check the spatial conflict between adjacent components after generating the model, adjusts the position of the components with interference or excessive fit, ensures the quality of cell division in the subsequent grid division process, and avoids solving failure caused by geometric abnormalities in simulation calculation.

[0084] In another alternative embodiment, the preprocessing of the three-dimensional model in step S1 can also be performed by setting a partitioned grid division area, marking the components related to the heat generating parts or high field strength areas as fine division areas in the modeling stage, and dividing other low impact parts into coarse areas, so as to reduce the overall grid number while ensuring the simulation accuracy of the key areas, and balance the calculation efficiency and the consumption of computing resources.

[0085] In the embodiments of the present application, the grid division of the simplified model in step S1 obtains a simulation model corresponding to the switch cabinet, including:

[0086] A1: classifying the components in the simplified model into key components and non-key components;

[0087] A2: performing grid division on the key components based on a fine grid size, and performing grid division on the non-key components based on a coarse grid size, to obtain a simulation model corresponding to the switch cabinet.

[0088] Specifically, the key components include the busbar, the circuit breaker trolley contact arm, and the movable and static contacts of the switch cabinet; and the non-key components include other components in the switch cabinet except the busbar, the circuit breaker trolley contact arm, and the movable and static contacts.

[0089] The grid division on the key components is based on a fine grid size, and the grid division on the non-key components is based on a coarse grid size; specifically, the grid division method used can be a tetrahedral grid division method, and different grid sizes are set for different structural components. Since the busbar, the circuit breaker trolley contact arm, and the movable and static contacts in the switchgear are tortuous and are the focus of current-carrying load, these key conductive parts should be finely divided. The shell of the switchgear is relatively large in volume and regular in shape, and does not need to be excessively finely divided.

[0090] For example, the fine grid size can be set in the range of 2mm to 15mm, and the coarse grid size can be set in the range of 16mm to 50mm.

[0091] In an alternative embodiment, the grid division in step S1 can also be performed by setting a smaller grid unit for the local high-curvature area of the key components after classification, so as to obtain higher calculation accuracy at the bending part of the busbar, the turning part of the circuit breaker trolley contact arm, and the contact area of the movable and static contacts, thereby improving the local simulation accuracy while maintaining the overall calculation efficiency.

[0092] In another optional implementation, the mesh generation in step S1 can also be achieved by pre-setting partition boundaries in the non-critical component areas of the coarsened mesh, dividing the large-volume shell or support structure into multiple regular partitions, and then performing coarsened mesh generation in each partition to reduce the overall number of elements and avoid mesh distortion caused by irregular large surfaces, thereby ensuring computational stability in the thermal conduction and structural stress analysis of large-volume components.

[0093] In this embodiment of the application, step S2 applies the target parameters of the switchgear in the actual use scenario to the simulation model, completing the parameter loading process and obtaining the parameterized model, including:

[0094] S21: Perform target parameter processing;

[0095] S22: Load the target parameters into the simulation model so that the model has the corresponding operating characteristics;

[0096] S23: Form a parameterized model adapted to the usage scenario through parameter loading.

[0097] It should be noted that parameter loading enables the simulation model to accurately incorporate the operating characteristics of actual usage scenarios while maintaining the structural integrity, thus allowing the model to reflect the real-world conditions under different operating conditions. By loading target parameters such as initial solid and fluid temperatures, fluid density, thermal conductivity, specific heat capacity, solid shape, and contact resistance into the model, the calculation of physical processes such as heat transfer, natural convection, and forced convection can better reflect actual operating conditions. Simultaneously, parameter loading allows the model to consider the relationship between the heating characteristics of local structures and airflow characteristics, thereby ensuring computational accuracy in multiphysics simulations while improving the model's adaptability to changes in the operating environment. This provides a reliable data foundation for subsequent temperature rise analysis, heat dissipation design, and operational status evaluation.

[0098] Specifically, S21 to S23 include: the air inside the switch cabinet surrounds the conductive parts. When the equipment is running, the air temperature around the heat-generating parts rises, and the gas rises due to its lower density. The cooler air below will then flow to this part, which is the process of natural convection. If the convection is caused by external force to force the air to flow, it is called forced convection. There are many parameters that determine the heat transferred by convection per unit area. These parameters are the target parameters, such as the initial temperature of solids and fluids, the density of fluids, thermal conductivity coefficient, specific heat capacity, shape of solids, contact resistance, etc. After the target parameters are equivalently applied to the simulation model, the simulation model (i.e., the parametric model) under the actual use scenario can be obtained.

[0099] In an alternative embodiment, the parameter loading in step S2 can also be dynamically updated by introducing real-time monitoring data in the operation process of the switch cabinet, including temperature, humidity, current and contact resistance and other information collected under different loads, changes in environmental temperature and humidity and ventilation conditions, transmitting these data to the simulation model through the collection terminal, so that the parameterized model can automatically adjust the loaded parameters with the change of the operating state, thereby reflecting the actual operating characteristics in different time periods.

[0100] In another alternative embodiment, the parameter loading in step S2 can also be corrected by the thermal response test results for the key heat generating parts of the switch cabinet, the thermal response test includes measuring the temperature rise curve of the busbar, the contact arm and the moving and static contact under the rated load and the short-time overload condition, comparing the test curve with the initial set parameters, and loading the corrected temperature rise data and contact resistance change data to the simulation model to improve the calculation accuracy of the parameterized model under high load and fault conditions.

[0101] In the embodiments of the present application, the target parameter processing in step S2 includes:

[0102] For example, taking the contact resistance as one of the target parameters; a large heat source of the switch cabinet comes from the contact resistance at the conductor lap joint surface. When the current flows through two contact conductors, such as the connection between the busbar and the static contact, the lap joint between the main busbar and the branch busbar, and other contact parts, a local high temperature rise will occur. The reason for this phenomenon is that there is a contact resistance at the conductor lap joint. When performing electromagnetic-thermal coupling simulation on the switch cabinet, the lap joint surface of the two conductors is often regarded as a direct contact whole, and the influence of the contact surface resistance on heating is ignored. Figure 2 As shown in Figure 2 which is a microcosmic schematic diagram of the conductor lap joint surface of the switch cabinet mechanism model construction method of the present application; combined with Figure 2 From the microcosmic level, only part of the lap joint surface is actually in contact, and the other parts are not completely in contact. The contact resistance R J is composed of the contact resistance R s of the conductor and the film resistance R b of the conductor surface, i.e. R J = R s + R b .

[0103] In an optional embodiment, the target parameter processing in step S2 can also be performed by collecting switch cabinet operation data under multiple working conditions before loading the target parameters, recording the temperature initial value, density, thermal conductivity, specific heat capacity and other parameters measured under different environmental temperature and humidity and load levels synchronously with the contact resistance data, and generating a parameter set corresponding to the operation conditions, so that different working conditions can be matched in the simulation model for calling, and the adaptability of the model to environmental changes is improved.

[0104] In another optional embodiment, the target parameter processing in step S2 can also be performed by introducing measurement data of the conductor surface state in the contact resistance modeling stage, converting factors such as the actual surface roughness of the conductor lap surface and the oxide film thickness affecting the film resistance into quantifiable input values, and loading the calculation results of the conductor shrinkage resistance into the simulation model, so that the local heating characteristics can be more accurately reflected in the electromagnetic-thermal coupling simulation.

[0105] In the embodiments of the present application, the target relationship of the switch cabinet is determined in step S3, and the expression structure of the target relationship and the modeling requirements are uniformly processed, as shown in Figure 4 , including:

[0106] S31: determining the magnetic permeability, vector magnetic potential, electrical conductivity and scalar potential of the switch cabinet in the electromagnetic field;

[0107] S32: constructing the electromagnetic field relationship of the switch cabinet according to the magnetic permeability, vector magnetic potential, electrical conductivity and scalar potential;

[0108] S33: determining the density, specific heat capacity, unit heat source and thermal conductivity of the switch cabinet in the temperature field;

[0109] S34: constructing the temperature field relationship of the switch cabinet according to the density, specific heat capacity, unit heat source and thermal conductivity;

[0110] S35: determining the source current density, electrical conductivity, vector magnetic potential and scalar potential of the switch cabinet in the electromagnetic field;

[0111] S36: constructing the electromagnetic loss relationship of the switch cabinet according to the source current density, electrical conductivity, vector magnetic potential and scalar potential.

[0112] It should be noted that by determining the key physical parameters required for the operation of the switch cabinet in the three directions of electromagnetic field, temperature field and electromagnetic loss respectively, and sequentially constructing the corresponding physical relationship, multiple types of physical field information can be introduced in a unified modeling framework, so that the mechanism model has high applicability and accuracy under different operating conditions. This method can simultaneously reflect the distribution characteristics of electric field and magnetic field, temperature variation law and energy loss under electromagnetic action in the model construction process, thereby completely characterizing the comprehensive operating state of the switch cabinet. By combining the established relationship with the parameterized model, the model can reflect the coupling characteristics of multiple physical fields under actual working conditions, provide consistent and reliable calculation basis for simulation analysis, operating state evaluation and fault diagnosis, and improve the usability and stability of the model in engineering applications.

[0113] Specifically, S32 constructs an electromagnetic field relationship of the switch cabinet according to the magnetic permeability, the vector magnetic potential, the electrical conductivity and the scalar potential, and the relationship is expressed as:

[0114]

[0115] wherein μ represents the magnetic permeability, A represents the vector magnetic potential, σ represents the electrical conductivity, denotes the partial derivative, t represents time, denotes the scalar potential, denotes the gradient, denotes the divergence;

[0116] S34 constructs a temperature field relationship of the switch cabinet according to the density, the specific heat capacity, the unit heat source and the thermal conductivity, and the relationship is expressed as:

[0117]

[0118] wherein T represents the temperature, ρ represents the density, c represents the specific heat capacity, q represents the unit heat source, λ represents the thermal conductivity, x, y, z represent the corresponding coordinate values in the spatial direction;

[0119] S36 constructs an electromagnetic loss relationship of the switch cabinet according to the source current density, the electrical conductivity, the vector magnetic potential and the scalar potential, and the relationship is expressed as:

[0120]

[0121] wherein J t represents the total current density, Q represents the electromagnetic loss, J s represents the source current density, j represents the imaginary unit, ω represents the angular frequency, σ represents the electrical conductivity, A represents the vector magnetic potential, denotes the scalar potential, ∫dv e represents the integration over the entire conductive material region of the switch cabinet, represents the complex conjugate of J t , This represents the gradient.

[0122] For example, after obtaining the electromagnetic field relationship, temperature field relationship, and electromagnetic loss relationship corresponding to the switchgear, these relationships can be mapped into a parametric model using multiphysics simulation software (such as COMSOL Multiphysics). Simultaneously, based on the actual operation of the switchgear, reasonable boundary conditions (e.g., electromagnetic field boundary conditions may include potential and current; temperature field boundary conditions may include ambient temperature and heat dissipation conditions) and initial conditions for simulation calculations (e.g., initial temperature and initial electromagnetic field distribution) are set to ensure that the parametric model operates according to the physical mechanism of the target relationships. Since multiphysics simulation software can comprehensively consider the interactions and influences between the electromagnetic field, temperature field, and electromagnetic loss, a mechanism model corresponding to the switchgear can be obtained.

[0123] In an optional implementation, the unified processing of the expression structure and modeling requirements of the target relation in step S3 can also be achieved by establishing a parameterized template file in the multiphysics simulation software. Specifically, after constructing the electromagnetic field relation, temperature field relation, and electromagnetic loss relation, the parameter input format, variable naming rules, and unit system of each relation are uniformly set to the template format consistent with the parameterized model, and the interface position is preset in the template file to facilitate the quick calling and replacement of parameters in different operating scenarios, thereby reducing the workload of format adaptation between the relation and the model.

[0124] In another optional implementation, the unified processing of the expression structure of the target relation and the modeling requirements in step S3 can also be achieved by introducing a boundary condition binding mechanism in the relation construction stage. After obtaining the mathematical expressions of the electromagnetic field, temperature field and electromagnetic loss, the boundary conditions closely related to the operating scenario (such as the current at the input and output terminals, the heat dissipation conditions of the casing, etc.) are directly bound to the relation as parameterized interfaces, so that the boundary conditions can be automatically updated according to the actual collected operating data during subsequent simulation calculations, without the need for repeated configuration in the simulation software.

[0125] In this embodiment of the application, step S4 combines the target relation with the parameterized model, and generates a mechanism model of the switchgear through a modeling process, including:

[0126] S41: During the modeling process, the electromagnetic field relationship is combined with the parameterized model;

[0127] S42: Combine the temperature field relationship with the parameterized model;

[0128] S43: Combine the electromagnetic loss relationship with the parameterized model;

[0129] S44: Based on the above combination results, the construction of the switch cabinet mechanism model is completed.

[0130] Specifically, S41-S44 include calling each type of target relationship formula, inputting it into the modeling calculation environment, matching the parameters corresponding to the relationship formula with the structure data of the parameterized model, maintaining the corresponding association of each relationship formula and the model during the modeling process, and uniformly integrating each type of combined data into the model file to complete the overall generation of the switch cabinet mechanism model.

[0131] In an optional embodiment, the generation of the mechanism model of the switch cabinet through the modeling process in step S4 can also introduce an operating condition switching mechanism in the process of combining the relationship formula with the parameterized model, so that the modeling calculation can call corresponding boundary conditions and initial conditions for combined modeling according to different operating conditions such as rated operation, overload operation or short-time fault, thereby generating model versions under multiple operating conditions in the same mechanism model framework.

[0132] In another optional embodiment, the generation of the mechanism model of the switch cabinet through the modeling process in step S4 can also introduce local refinement processing of the conductor contact resistance parameter while combining the relationship formula with the parameterized model, so that the contact parameters of key lap joint parts such as busbar rows and circuit breaker arms are loaded separately and coupled with local electromagnetic field relationship formula calculation during the modeling process, thereby improving the reflection accuracy of local heating and temperature distribution while maintaining the overall modeling efficiency.

[0133] In summary, the present application improves the calculation efficiency and applicability while ensuring the modeling accuracy by sequentially performing steps such as three-dimensional model construction and preprocessing, actual operating scene parameter loading, target physical relationship formula construction, and relationship formula and parameterized model combination. This method can introduce multiple types of physical field information such as electromagnetic field, temperature field and electromagnetic loss in the unified modeling process, accurately reflect the multi-physical field coupling characteristics of the switch cabinet under different operating conditions, take into account the overall structural features and local key part parameter performance, and realize comprehensive characterization of the operating state. With the help of the mechanism model, reliable support can be provided for simulation analysis, thermal design optimization, operation monitoring and fault prediction of the switch cabinet, and the comprehensive requirements of model accuracy, stability and adaptability in engineering applications can be met.

[0134] Example 3, as Figure 5 and Figure 6As shown in the above, it is a schematic scheme of the switch cabinet mechanism model construction method. It should be noted that the technical scheme of the switch cabinet mechanism model construction system belongs to the same concept as the technical scheme of the above-mentioned switch cabinet mechanism model construction method. The technical scheme of the switch cabinet mechanism model construction system in this embodiment is not described in detail. Please refer to the description of the technical scheme of the above-mentioned switch cabinet mechanism model construction method.

[0135] As shown in the above, Figure 5 The embodiment also provides a switch cabinet mechanism model construction system, which comprises:

[0136] The first model construction module 501 is configured to generate a three-dimensional model corresponding to the switch cabinet, and pre-process the three-dimensional model to obtain a simulation model.

[0137] Specifically, the first model construction module 501 is configured to generate a three-dimensional model corresponding to the switch cabinet, and simplify the three-dimensional model based on a preset simplification rule to obtain a simplified model. The preset simplification rule comprises a component deletion rule and a component merging rule. The first model construction module 501 is also configured to divide the simplified model into a grid to obtain a simulation model corresponding to the switch cabinet. The simulation model comprises a plurality of discrete grid units. The first model construction module 501 is also configured to classify the components included in the simplified model into key components and non-key components. The key components include a busbar of the switch cabinet, a circuit breaker trolley arm, and a moving contact. The first model construction module 501 is also configured to divide the key components into a grid based on a fine grid size, and divide the non-key components into a grid based on a coarse grid size to obtain the simulation model corresponding to the switch cabinet.

[0138] The second model construction module 502 is configured to equivalently set a target parameter of the switch cabinet in an actual use scenario to the simulation model to obtain a parameterized model.

[0139] The relationship determination module 503 is configured to determine a target relationship of the switch cabinet. The target relationship comprises an electromagnetic field relationship, a temperature field relationship, and an electromagnetic loss relationship.

[0140] Specifically, the relationship determination module 503 is configured to determine the magnetic permeability, the vector magnetic potential, the electrical conductivity, and the scalar potential of the switch cabinet in the electromagnetic field. The relationship determination module 503 is also configured to construct the electromagnetic field relationship of the switch cabinet according to the magnetic permeability, the vector magnetic potential, the electrical conductivity, and the scalar potential. The relationship determination module 503 is also configured to determine the density, the specific heat capacity, the unit heat source, and the thermal conductivity of the switch cabinet in the temperature field. The relationship determination module 503 is also configured to construct the temperature field relationship of the switch cabinet according to the density, the specific heat capacity, the unit heat source, and the thermal conductivity. The relationship determination module 503 is also configured to determine the source current density, the electrical conductivity, the vector magnetic potential, and the scalar potential of the switch cabinet in the electromagnetic field. The relationship determination module 503 is also configured to construct the electromagnetic loss relationship of the switch cabinet according to the source current density, the electrical conductivity, the vector magnetic potential, and the scalar potential.

[0141] The third model construction module 504 is configured to construct a mechanism model corresponding to the switch cabinet according to the target relationship and the parameterized model.

[0142] As Figure 6 shown, the embodiment also provides an electronic device suitable for the case of switch cabinet mechanism model construction, comprising: a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.) which can perform various appropriate actions and processes according to programs stored in a read-only memory 1002 or loaded from a storage device 1003 into a random access memory 1004; in the random access memory 1004, various programs and data required for the operation of the switch cabinet mechanism model construction device are also stored. The processing device 1001, the read-only memory 1002, and the random access memory 1004 are connected to each other through a bus 1005; an input / output interface 1006 is also connected to the bus; generally, the following systems can be connected to the input / output interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009; the communication device 1009 can allow the switch cabinet mechanism model construction device to communicate with other devices wirelessly or by wire to exchange data, realizing the method for constructing a switch cabinet mechanism model as proposed in the above embodiment.

[0143] The embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, realizes the method for constructing a switch cabinet mechanism model as proposed in the above embodiment.

[0144] The storage medium proposed in the embodiment belongs to the same inventive concept as the method for constructing a switch cabinet mechanism model proposed in the above embodiment, and the technical details not described in detail in the embodiment can be referred to the above embodiment, and the embodiment has the same beneficial effects as the above embodiment.

[0145] From the above description about the embodiments, those skilled in the art can clearly understand that the present application can be realized by means of software and necessary universal hardware, and of course can also be realized by hardware. Based on such understanding, the technical solutions of the present application or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a floppy disk, a read-only memory (ROM), a random access memory (RAM), a FLASH, a hard disk, or an optical disc, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of various embodiments of the present application.

[0146] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not to limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced, without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A method for constructing a switchgear mechanism model, characterized in that, include: Generate a 3D model of the switchgear and preprocess the 3D model to obtain a simulation model; The target parameters of the switchgear in the actual use scenario are applied to the simulation model to complete the parameter loading process and obtain the parameterized model. Determine the target relational expression for the switchgear, and unify the expression structure of the target relational expression with the modeling requirements; The objective relation is combined with the parameterized model, and the mechanism model of the switchgear is generated through the modeling process.

2. The method for constructing a switchgear mechanism model as described in claim 1, characterized in that, The process involves generating a 3D model corresponding to the switchgear, and preprocessing the 3D model to obtain a simulation model, including: Generate a 3D model of the switchgear, and simplify the 3D model based on preset simplification rules to obtain a simplified model; The simplified model is meshed to obtain the simulation model corresponding to the switch cabinet.

3. The method for constructing a switch cabinet mechanism model as described in claim 2, characterized in that, The process of applying the target parameters of the switchgear in the actual use scenario to the simulation model, completing the parameter loading process, and obtaining the parameterized model includes: Perform target parameter processing; The target parameters are loaded into the simulation model so that the model has the corresponding operating characteristics; A parameterized model adapted to the usage scenario is formed by loading parameters.

4. The method for constructing a switchgear mechanism model as described in claim 3, characterized in that, The process of meshing the simplified model to obtain the simulation model corresponding to the switchgear includes: The components in the simplified model are classified into critical components and non-critical components. The simulation model of the switchgear is obtained by meshing key components with fine mesh size and non-key components with coarse mesh size.

5. The method for constructing a switchgear mechanism model as described in claim 4, characterized in that, The process of determining the target relation of the switchgear and unifying the expression structure and modeling requirements of the target relation includes: Determine the permeability, vector magnetic potential, conductivity, and scalar potential of the switchgear in an electromagnetic field; The electromagnetic field relationship of the switchgear is constructed based on magnetic permeability, vector magnetic potential, conductivity and scalar potential; Determine the density, specific heat capacity, unit heat source, and thermal conductivity of the switchgear in the temperature field; The temperature field relationship of the switchgear is constructed based on density, specific heat capacity, unit heat source, and thermal conductivity. Determine the source current density, conductivity, vector magnetic potential, and scalar potential of the switchgear in the electromagnetic field; The electromagnetic loss relationship of the switchgear is constructed based on the source current density, conductivity, vector magnetic potential, and scalar potential.

6. The method for constructing a switchgear mechanism model as described in claim 5, characterized in that, The electromagnetic field relationship of the switchgear, constructed based on permeability, vector magnetic potential, conductivity, and scalar potential, is expressed as follows: Where μ represents magnetic permeability, A represents vector magnetic potential, and σ represents electrical conductivity. Let t represent the partial derivative and t represent time. Represents a scalar potential. Represents the gradient. Indicates divergence; The temperature field relationship of the switchgear constructed based on density, specific heat capacity, unit heat source, and thermal conductivity is expressed as follows: Where T represents temperature, ρ represents density, c represents specific heat capacity, q represents unit heat source, λ represents thermal conductivity, and x, y, z represent the corresponding coordinate values ​​in the spatial direction; The electromagnetic loss relationship of the switchgear, constructed based on source current density, conductivity, vector magnetic potential, and scalar potential, is expressed as follows: Among them, J t J represents the total current density, Q represents the electromagnetic loss, and J represents the total current density. s The vector represents the source current density, j represents the imaginary unit, ω represents the angular frequency, σ represents the conductivity, and A represents the vector magnetic potential. ∫dv represents a scalar potential. e This indicates that integration is performed over the entire conductive material area of ​​the switchgear. J represents t The complex conjugate, This represents the gradient.

7. The method for constructing a switchgear mechanism model as described in claim 6, characterized in that, The process of combining the target relation with the parameterized model to generate a mechanistic model of the switchgear through a modeling process includes: During the modeling process, the electromagnetic field relationship is combined with the parameterized model; The temperature field relationship is combined with the parameterized model; The electromagnetic loss relationship is combined with the parameterized model; Based on the above combined results, the mechanism model of the switch cabinet was constructed.

8. A switchgear mechanism model construction system, using the switchgear mechanism model construction method as described in any one of claims 1 to 7, characterized in that, include: The first model building module is used to generate a three-dimensional model of the switch cabinet and preprocess the three-dimensional model to obtain a simulation model. The second model building module is used to convert the target parameters of the switchgear in the actual use scenario into the simulation model to obtain the parameterized model. The relation determination module is used to determine the target relation of the switchgear, which includes the electromagnetic field relation, the temperature field relation, and the electromagnetic loss relation. The third model construction module is used to construct the mechanism model corresponding to the switch cabinet based on the target relation and the parameterized model.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the switch cabinet mechanism model construction method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the switch cabinet mechanism model construction method according to any one of claims 1 to 7.

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