Metal mesh cloth structure optimization method, system and device based on topological form

Abstract

The application discloses a metal mesh cloth structure optimization method, system and equipment based on topological morphology, relates to the technical field of metal wire mesh, and comprises the following steps: analyzing an electromagnetic interference source frequency band of a target shielding area, acquiring electromagnetic wave propagation characteristics and distribution parameters, and constructing a topological optimization objective function based on the same; adopting multi-scale topological modeling to perform parameterized modeling on a metal mesh cloth structure, generating an initial mesh cloth topological structure, and respectively adjusting structure weights of high-frequency and low-frequency interference frequency bands according to the topological optimization objective function, forming a multi-layer heterogeneous structure metal mesh cloth topological model, and generating a multi-level structure design scheme. The application solves the technical problems that the existing metal mesh cloth design cannot effectively cope with the shielding requirements of electromagnetic waves of different frequency bands, and results in low electromagnetic compatibility and unstable electromagnetic shielding effect, and achieves the technical effects of improving the electromagnetic compatibility and shielding effect stability of the metal mesh cloth through multi-scale topological modeling and adaptive structure optimization.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of metal wire mesh, in particular to a metal mesh cloth structure optimization method, system and device based on topological morphology. BACKGROUND

[0002] With the widespread application of electronic devices and communication systems, electromagnetic interference (EMI) problems are becoming increasingly serious, affecting the normal operation of devices and signal quality. Electromagnetic shielding technology is the key to solving this problem, and metal mesh cloth is widely used in the field of electromagnetic shielding due to its good electrical conductivity, low cost and high air permeability. Traditional metal mesh cloth design usually adopts fixed grid structure, which is difficult to optimize for different frequency band electromagnetic interference sources. Since high frequency and low frequency electromagnetic waves have different propagation characteristics and shielding requirements, a single design scheme cannot effectively meet the electromagnetic shielding requirements of multiple frequency bands. In addition, existing design methods often ignore factors such as waveguide effect and skin effect of electromagnetic waves, resulting in unstable shielding effect and difficulty in achieving ideal electromagnetic interference protection effect. SUMMARY

[0003] The present application provides a metal mesh cloth structure optimization method, system and device based on topological morphology, which is used to solve the technical problem that existing metal mesh cloth design cannot effectively cope with the shielding requirements of different frequency band electromagnetic waves, resulting in low electromagnetic compatibility and unstable electromagnetic shielding effect.

[0004] In a first aspect, the present application provides a metal mesh cloth structure optimization method based on topological morphology, which includes: performing electromagnetic interference source frequency band analysis on a target shielding area to obtain electromagnetic wave propagation characteristics and distribution parameters corresponding to the frequency band; based on the electromagnetic wave propagation characteristics and distribution parameters, constructing a topological optimization objective function for describing the electromagnetic shielding effect, the objective function including multiple trade-off objectives; using multi-scale topological modeling to parameterize the metal mesh cloth structure and generate an initial mesh cloth topological structure; based on the topological optimization objective function, performing structure weight adjustment on the high frequency interference frequency band and the low frequency interference frequency band of the initial mesh cloth topological structure respectively to form a multi-layer heterogeneous structure metal mesh cloth topological model; and generating a multi-level metal mesh cloth structure design scheme according to the metal mesh cloth topological model.

[0005] In a second aspect of the present application, a topological form-based metal mesh structure optimization system is provided, comprising: an electromagnetic interference analysis module, configured to perform electromagnetic interference source frequency band analysis on a target shielding area, and obtain electromagnetic wave propagation characteristics and distribution parameters corresponding to the frequency band; a topological optimization function construction module, configured to construct a topological optimization objective function for describing electromagnetic shielding effect based on the electromagnetic wave propagation characteristics and distribution parameters, the objective function comprising multiple trade-off objectives; a parameterized modeling module, configured to perform parameterized modeling on the metal mesh structure by using multi-scale topological modeling, and generate an initial mesh topology structure; a structure weight adjustment module, configured to perform structure weight adjustment on a high-frequency interference frequency band and a low-frequency interference frequency band of the initial mesh topology structure based on the topological optimization objective function, and form a multi-layer heterogeneous structure metal mesh topology model; and a scheme generation module, configured to generate a multi-level metal mesh structure design scheme according to the metal mesh topology model.

[0006] In a third aspect of the present application, an electronic device is provided, comprising: a processor coupled with a memory, the memory being configured to store a program, when the program is executed by the processor, the system is caused to perform the method of any one of the first aspect.

[0007] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0008] The topological form-based metal mesh structure optimization method, system and device provided in the present application relate to the technical field of metal wire mesh, and optimize the metal mesh structure by multi-scale topological modeling, design a multi-layer heterogeneous structure for electromagnetic waves of different frequency bands (high frequency and low frequency), and optimize the grid density, conductivity and interlayer parameters of each layer through the feedback of the topological optimization objective function and the frequency band characteristics, so as to ensure the shielding effect. The technical problems of low electromagnetic compatibility and unstable electromagnetic shielding effect caused by the fact that the existing metal mesh design cannot effectively cope with the shielding requirements of electromagnetic waves of different frequency bands are solved, and the technical effect of improving the electromagnetic compatibility and stability of the shielding effect of the metal mesh in the use of electromagnetic shielding is achieved through multi-scale topological modeling and adaptive structure optimization. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present 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 present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0010] Figure 1A schematic diagram of the topology-based metal mesh structure optimization method provided in this application embodiment;

[0011] Figure 2 A schematic diagram of a topology-based metal mesh fabric optimization system provided in this application embodiment;

[0012] Figure 3 This application provides a schematic diagram of the structure of an electronic device.

[0013] Figure reference numerals: Electromagnetic interference analysis module 11, topology optimization function construction module 12, parametric modeling module 13, structural weight adjustment module 14, scheme generation module 15, electronic device 300, memory 301, processor 302, communication interface 303, bus architecture 304. Detailed Implementation

[0014] This application provides a method, system, and device for optimizing metal mesh structures based on topology, which solves the technical problem that existing metal mesh designs cannot effectively meet the shielding requirements of electromagnetic waves in different frequency bands, resulting in low electromagnetic compatibility and unstable electromagnetic shielding effect.

[0015] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0016] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0017] Example 1, as Figure 1 As shown, this application provides a method for optimizing metal mesh structures based on topology, the method comprising:

[0018] P10: Perform electromagnetic interference source frequency band analysis on the target shielded area to obtain the electromagnetic wave propagation characteristics and distribution parameters of the corresponding frequency band.

[0019] Further, the step P10 of the embodiment of the present application further comprises:

[0020] P11: measuring the electromagnetic radiation energy spectrum of the target region in full frequency band, and dividing the key interference frequency band according to a preset energy threshold; P12: classifying the key interference frequency band into a high-frequency interference frequency band and a low-frequency interference frequency band according to the inverse relationship between the skin depth of electromagnetic wave and frequency; P13: using a frequency energy distribution algorithm to obtain the power distribution and phase information of the high-frequency interference frequency band and the low-frequency interference frequency band; P14: defining the electromagnetic field intensity distribution parameters in the region according to the waveguide effect and refraction characteristics of electromagnetic wave propagation.

[0021] In the embodiment, first, the electromagnetic interference sources in the target shielding region are analyzed in frequency band to obtain the electromagnetic wave propagation characteristics and distribution parameters of the corresponding frequency band.

[0022] First, the electromagnetic radiation energy spectrum of the target shielding region in full frequency band is measured. For example, a high-precision spectrum analyzer is used to comprehensively capture the electromagnetic radiation energy distribution of different frequencies in the region. On this basis, the energy spectrum is divided into several key interference frequency bands according to a preset energy threshold. This division process can be based on the actual influence of electromagnetic interference on the target device or region, and the energy threshold is preset to effectively screen out the frequency bands that have a significant impact on the shielding effect, thereby providing a key analysis object for subsequent optimization design.

[0023] Further, the key interference frequency band is further classified according to the inverse relationship between the skin depth of electromagnetic wave and frequency. The skin depth refers to the depth at which the energy of electromagnetic wave propagating in a conductor is attenuated to 1 / e (about 36.8%) of the surface energy. Due to the skin effect, the energy of high-frequency electromagnetic wave is mainly concentrated near the surface of the conductor, while the energy of low-frequency electromagnetic wave can penetrate deep into the interior of the conductor. Therefore, by this relationship, the key interference frequency band is divided into a high-frequency interference frequency band and a low-frequency interference frequency band, providing a basis for subsequent structure optimization for different frequency bands. The high-frequency interference frequency band usually corresponds to a smaller skin depth of electromagnetic wave, and the energy is concentrated on the surface, while the low-frequency interference frequency band corresponds to a larger skin depth, and the energy distribution is relatively deeper into the interior of the conductor.

[0024] Next, the frequency energy distribution algorithm is used to obtain the power distribution and phase information of the high-frequency interference frequency band and the low-frequency interference frequency band. The frequency energy distribution algorithm is a calculation method that can accurately analyze the energy distribution of electromagnetic waves at different frequencies. Through this algorithm, the power distribution of electromagnetic waves in each key frequency band can be obtained, that is, the energy intensity of electromagnetic waves at different positions. At the same time, the algorithm can also obtain the phase information of electromagnetic waves, which is crucial for understanding the propagation characteristics of electromagnetic waves. Phase information reflects the phase change of electromagnetic waves during propagation, which can help analyze electromagnetic wave interference, reflection, refraction and other phenomena, thereby providing more comprehensive data support for subsequent topology optimization.

[0025] Finally, according to the waveguide effect and refraction characteristics of electromagnetic wave propagation, the electromagnetic field intensity distribution parameters in the region are defined. The waveguide effect refers to the fact that when electromagnetic waves propagate in a specific medium structure, due to the boundary conditions of the medium, the energy of the electromagnetic waves is constrained within a certain area, forming a stable propagation mode. Refraction characteristics are related to the difference in propagation speed of electromagnetic waves between different media. When electromagnetic waves enter another medium from one medium, refraction occurs, and the direction and intensity of the electromagnetic waves change. By considering the waveguide effect and refraction characteristics, the distribution parameters of the electromagnetic field intensity in the target shielding region can be accurately defined, including the magnitude, direction and variation law of the electromagnetic field intensity at different positions. These distribution parameters are important basis for subsequent construction of topology optimization objective function, which can ensure that the optimization design can accurately adjust to the actual electromagnetic environment.

[0026] Through these steps, comprehensive and accurate electromagnetic interference source frequency band information and electromagnetic wave propagation characteristic data can be provided for subsequent metal mesh structure optimization, ensuring that the design in the subsequent topology optimization process can maximize the electromagnetic shielding effect.

[0027] P20: Based on the electromagnetic wave propagation characteristics and distribution parameters, a topology optimization objective function for describing the electromagnetic shielding effect is constructed, and the objective function includes multiple trade-off objectives.

[0028] Further, the step P20 of the embodiments of the present application further includes:

[0029] P21: According to the characteristics of the high-frequency interference frequency band, a first optimization objective function corresponding to the high-frequency interference is established, and the optimization variable is the surface conductivity distribution of the metal mesh; P22: According to the characteristics of the low-frequency interference frequency band, a second optimization objective function corresponding to the low-frequency interference is established, and the optimization variable is the interlayer permeability distribution; P23: The sensitivity analysis results of the first optimization objective function and the second optimization objective function are coupled to generate a topology optimization objective function with frequency band adaptability.

[0030] Optionally, based on the aforementioned electromagnetic wave propagation characteristics and distribution parameters, a topology optimization objective function is constructed to describe the electromagnetic shielding effect. This objective function not only considers the comprehensive optimization of the shielding effect, but also includes multiple trade-off objectives, with the goal of optimizing the mesh structure to ensure its electromagnetic shielding performance in practical applications. These trade-off objectives need to be balanced in terms of shielding efficiency, material utilization, mesh thickness, cost, and other aspects to meet the different needs of high-frequency and low-frequency interference.

[0031] First, a first optimization objective function corresponding to high-frequency interference is established according to the characteristics of the high-frequency interference frequency band. High-frequency electromagnetic waves have a short skin depth, which means they mainly propagate along the surface of the metal mesh, with a shallow depth. In order to effectively reflect or absorb these high-frequency electromagnetic waves, the surface of the metal mesh needs to have high conductivity. Therefore, the optimization variable in the optimization objective function is the surface conductivity distribution of the metal mesh, that is, by adjusting the surface structure of the metal mesh or using high-conductivity materials to enhance its surface conductivity. That is, the first optimization objective function aims to maximize the reflectivity and absorptivity of high-frequency electromagnetic waves, while minimizing the transmissivity, thereby achieving effective shielding of high-frequency interference.

[0032] Next, a second optimization objective function corresponding to low-frequency interference is established according to the characteristics of the low-frequency interference frequency band. Low-frequency electromagnetic waves have a large skin depth and can penetrate deep into the metal mesh. Therefore, in order to shield low-frequency interference, it is necessary to optimize the interlayer permeability distribution of the mesh. Permeability is an important physical quantity that characterizes the magnetic response of materials and plays a crucial role in the shielding of low-frequency electromagnetic waves. The optimization variable in the optimization objective function is the permeability distribution of each layer in the metal mesh structure. By optimizing the interlayer permeability distribution, the propagation path of low-frequency electromagnetic waves within the metal mesh can be effectively guided, increasing its energy attenuation and thus improving the shielding effect of low-frequency interference. The second optimization objective function aims to maximize the energy attenuation of low-frequency electromagnetic waves within the metal mesh, while optimizing their propagation path, to achieve effective shielding of low-frequency interference. In practical applications, materials with high permeability can be selected to manufacture low-frequency shielding layers, or the difference in permeability between different layers can be adjusted to achieve the optimization effect.

[0033] In order to realize the comprehensive optimization of high-frequency and low-frequency interference frequency bands, the first optimization objective function and the second optimization objective function need to be coupled. The coupling process is based on the sensitivity analysis results, which is a method to study the influence degree of optimization variables on objective functions. Through sensitivity analysis, the specific contribution degree of surface conductivity distribution and interlayer permeability distribution to high-frequency and low-frequency shielding effect can be determined. According to the sensitivity analysis results, the weights are reasonably allocated, and the topology optimization objective function with frequency band adaptability is generated. The comprehensive optimization objective function can balance between high-frequency and low-frequency interference frequency bands, and ensure that the metal mesh structure can achieve optimal shielding effect under different frequency bands.

[0034] In actual implementation process, first, according to the characteristics of high-frequency interference frequency band, the influence law of metal mesh surface conductivity distribution on high-frequency electromagnetic wave shielding effect is obtained through numerical simulation or experimental measurement, and then the first optimization objective function is established. Subsequently, for low-frequency interference frequency band, the influence of interlayer permeability distribution on low-frequency electromagnetic wave propagation path and energy attenuation is analyzed, and the second optimization objective function is established. After completing the establishment of the two optimization objective functions, the sensitivity analysis method is used to analyze the sensitivity of the two optimization objective functions respectively, and the contribution degree of each optimization variable to high-frequency and low-frequency shielding effect is determined. Finally, according to the sensitivity analysis results, the weights are reasonably allocated, and the two optimization objective functions are coupled to generate a comprehensive optimization objective function with frequency band adaptability. This comprehensive optimization objective function can take into account the shielding requirements of high-frequency and low-frequency interference frequency bands, provide a scientific basis for subsequent optimization design of metal mesh structure, and realize effective shielding of electromagnetic interference of different frequency bands.

[0035] P30: parameterized modeling of the metal mesh structure by multi-scale topology modeling to generate an initial mesh topology.

[0036] Further, the step P30 of the embodiment of the present application further comprises:

[0037] P31: establishing an envelope boundary constraint matching the shape of the shielding area at the macro-scale level; P32: generating an initial mesh distribution according to the topology optimization objective function at the meso-scale level; P33: designing the metal fiber cross nodes according to the frequency band characteristics at the micro-scale level, wherein the node form can be adjusted according to the frequency band characteristics of the region.

[0038] Specifically, the multi-scale topology modeling method is used for parameterized modeling of the metal mesh structure to generate an initial mesh topology. This process is divided into three different scale levels, namely macro-scale level, meso-scale level and micro-scale level. Each level of modeling corresponds to different design objectives and parameter adjustment methods, ensuring that the final structure of the metal mesh can achieve optimal electromagnetic shielding effect at different scales.

[0039] First, an envelope boundary constraint is established at the macro-scale level to match the shape of the shielding area. At this level, the main focus is on the overall shape and size of the mesh, and based on the geometric shape and size of the target shielding area, an envelope boundary constraint is defined to limit the overall shape and size range of the metal mesh. This envelope boundary constraint needs to match the shape of the target shielding area to ensure that the metal mesh's coverage area in practical applications can fully adapt to the shielding needs. The envelope boundary constraint ensures that the metal mesh structure at the macro level is adapted to the shape of the shielding area, thereby providing a reasonable spatial framework for subsequent optimization design. For example, if the shielding area is an irregularly shaped electronic device shell, the envelope boundary will be customized according to its shape profile to ensure that the metal mesh can completely cover the area.

[0040] Next, an initial grid distribution is generated at the meso-scale level according to the topology optimization objective function. The meso-scale modeling is between the macro and micro levels, mainly focusing on the overall grid layout of the metal mesh. By introducing the topology optimization objective function into the grid generation process, an initial grid distribution can be generated according to the characteristics of high and low frequency interference frequency bands. During the grid layout process, the density and shape of the grid are precisely adjusted according to the constraints of the topology optimization objective function in order to optimize the shielding effect. For example, for high-frequency interference frequency bands, the grid distribution may need to be denser to enhance the surface shielding effect; while for low-frequency interference frequency bands, the grid distribution may need to consider the optimization of interlayer permeability. The generation of the initial grid distribution is based on the preliminary solution of the optimization objective function, providing a starting point for subsequent structural optimization.

[0041] Finally, at the micro-scale level, the metal fiber cross-node is parameterized and designed according to the frequency band characteristics, and the node morphology is adjusted. The micro-scale level mainly focuses on the intersection points and node structures of the metal wires, as these details directly affect the transmission and shielding effect of electromagnetic waves. According to the frequency band characteristics of electromagnetic waves, the design of the cross-node needs to be adjusted differently. For example, in high-frequency interference areas, the metal wire cross-node needs to be more compact and uniform to enhance the surface conductivity; while in low-frequency interference areas, the node design can be appropriately loose, focusing on optimizing the permeability distribution. Through this differentiated node design, the microstructure of the mesh can be optimized according to the characteristics of different frequency bands, thereby further improving the overall shielding effect.

[0042] In the implementation process, first, according to the shape and size of the target shielding area, the envelope boundary constraint at the macro scale level is established by using computer aided design (CAD) tools or geometric modeling software. Subsequently, at the meso scale level, the initial mesh distribution is generated according to the topology optimization objective function by using finite element analysis software or topology optimization algorithm. Finally, at the micro scale level, the cross nodes of the metal fiber are designed according to the frequency band characteristics by using the parameterized modeling tool, and are differentiated according to the frequency band characteristics of the region. Through multi-scale topology modeling, the initial mesh topology structure generated can meet the electromagnetic shielding requirements at the macro, meso and micro levels, providing a solid foundation for subsequent structure optimization.

[0043] P40: Based on the topology optimization objective function, structure weight adjustment is performed on the high-frequency interference frequency band and the low-frequency interference frequency band of the initial mesh topology structure respectively, and a metal mesh topology model of a multi-layer heterogeneous structure is formed.

[0044] Further, the step P40 of the embodiments of the present application further includes:

[0045] P41: For the high-frequency interference frequency band, the sensitivity coefficients of each mesh element are calculated according to the surface current distribution, and the mesh density is adjusted according to the sensitivity coefficient sorting; P42: For the low-frequency interference frequency band, the optimization weights of each layer are calculated according to the magnetic field attenuation rate, and the layer spacing and thickness are adjusted; P43: The above adjustment is iteratively performed until the topology optimization objective function converges, and a metal mesh topology model of a multi-layer heterogeneous structure is formed.

[0046] It should be understood that, based on the topology optimization objective function, the structure weight adjustment is performed on the initial mesh topology structure, respectively for the high-frequency interference frequency band and the low-frequency interference frequency band, so that the metal mesh can optimize its structure for electromagnetic waves of different frequency bands, thereby realizing the best electromagnetic shielding effect.

[0047] First, for the high-frequency interference frequency band, the sensitivity coefficients of each mesh element are calculated according to the surface current distribution. The distribution of current distribution on the surface of the metal mesh directly affects the reflection and absorption effect of electromagnetic waves, therefore, by calculating the distribution of surface current, the sensitivity coefficients of each mesh element for the shielding efficiency of high-frequency interference frequency band can be obtained, that is, the contribution degree of each unit to the shielding effect of high-frequency electromagnetic waves. The higher the sensitivity coefficient, the greater the influence of the mesh element on the shielding effect. Subsequently, the mesh elements are sorted according to the sensitivity coefficients, and the mesh density is adjusted according to the sorting result. For example, for the area with high sensitivity coefficient, the mesh density is appropriately increased to enhance the reflection effect; while for the area with low sensitivity coefficient, the mesh density can be appropriately reduced to optimize the material utilization. In this way, the shielding performance of the metal mesh in the high-frequency band is optimized.

[0048] Next, for the low-frequency interference frequency band, the optimization weight of each layer is calculated according to the magnetic field attenuation rate. The electromagnetic wave of the low-frequency interference source has a large skin depth, and multiple levels of metal mesh cloth are needed for effective absorption and attenuation. Therefore, in this stage, the magnetic field attenuation of different levels needs to be calculated, and the weight of each layer is adjusted based on the magnetic field attenuation rate to determine the thickness of each layer and the spacing between layers. Subsequently, the spacing and thickness between layers are adjusted according to the optimization weight. For example, for layers with high optimization weight, the spacing between layers can be appropriately reduced or the thickness can be increased to enhance the magnetic field attenuation; for layers with low optimization weight, the spacing between layers can be appropriately increased or the thickness can be reduced to optimize the structure design. The optimization of the spacing and thickness between layers can effectively reduce the transmission loss of low-frequency electromagnetic waves and improve the overall shielding effect of the mesh cloth. In addition, by adjusting the thickness and spacing between layers, the physical properties of the mesh cloth can be controlled to further optimize its electromagnetic shielding performance.

[0049] Finally, in order to ensure the accuracy and reliability of the optimization results, the above adjustment process needs to be iteratively performed until the topology optimization objective function converges. In each iteration, the optimization results of high-frequency and low-frequency interference frequency bands, such as the calculation results of sensitivity coefficients and magnetic field attenuation rates, guide the adjustment of parameters such as grid density, spacing between layers, and thickness, update the topology structure of the metal mesh cloth, and recalculate the value of the topology optimization objective function. The iteration process continues until the topology optimization objective function converges, i.e. the value of the objective function no longer changes significantly. At this time, the formed metal mesh cloth topology model is the optimized model of the multi-layer heterogeneous structure, which can achieve good shielding effect in high-frequency and low-frequency interference frequency bands.

[0050] In actual operation, first, the surface current distribution of each grid element under high-frequency interference frequency band is calculated by electromagnetic simulation software (such as ANSYS, COMSOL, etc.), and then the sensitivity coefficient is obtained, and the grid density is adjusted according to the sensitivity coefficient. Subsequently, the magnetic field attenuation rate of each layer under low-frequency interference frequency band is calculated, the optimization weight is obtained, and the spacing and thickness between layers are adjusted according to the optimization weight. Through iterative optimization algorithm (such as genetic algorithm, simulated annealing algorithm, etc.), the topology structure of the metal mesh cloth is constantly updated until the topology optimization objective function converges. The final multi-layer heterogeneous structure of the metal mesh cloth topology model can achieve optimized electromagnetic shielding effect under different frequency bands, while taking into account material utilization rate and structural strength and other aspects of demand.

[0051] Further, the structure weight adjustment, the embodiment of the application step P40 further includes:

[0052] When the high-frequency and low-frequency optimization objectives conflict, the shielding requirements of the main interference frequency band are prioritized, a penalty function is introduced to coordinate the multi-objective optimization process, and the optimization parameters of each iteration are recorded to form a parameter evolution database.

[0053] In one possible embodiment of the present application, the strategy of structure weight adjustment is further extended, considering that in practical applications, the optimization objectives of high and low frequency bands may conflict. To ensure that the multi-objective optimization process can proceed smoothly, a penalty function can be introduced to coordinate the optimization conflict between high and low frequency bands, and by recording the optimization parameters of each iteration, a parameter evolution database is formed to provide a basis for subsequent optimization and adjustment.

[0054] Specifically, when the optimization objectives of high and low frequency bands conflict, for example, the high frequency band needs a denser grid to enhance the reflection effect, while the low frequency band needs a larger interlayer spacing to enhance the magnetic field attenuation, this contradiction may cause the optimization process to be difficult to meet the needs of both frequency bands at the same time. The system will prioritize the shielding requirements of the main interference frequency band. For example, in the design, the main interference frequency band can be defined according to the characteristics of the actual application of the interference source, i.e. the electromagnetic interference frequency band that has the greatest impact on the equipment or system in the target shielding area. For example, in some application scenarios, the electromagnetic waves of the high frequency band may be stronger and have greater interference risk, so the system will prioritize the shielding requirements of this frequency band.

[0055] Secondly, a penalty function is introduced to coordinate the multi-objective optimization process. The penalty function is an optimization technique used to handle conflicts in multi-objective optimization problems. By introducing a penalty term in the optimization objective function, the optimization process is guided to develop in the direction of meeting the shielding requirements of the main interference frequency band by imposing a penalty on the optimization results that violate the priority requirements. For example, if the high frequency band is the main interference frequency band, and the optimization result tends to optimize the low frequency band, the penalty function will impose a penalty on this deviation, causing the optimization process to refocus on the shielding effect of the high frequency band. The specific form of the penalty function can be designed according to the optimization objectives and actual needs, such as using a weighted sum form or a constraint-based penalty form.

[0056] Finally, the optimization parameters of each iteration are recorded to form a parameter evolution database. In the optimization process, each iteration produces a set of optimization parameters that reflect the state of the metal mesh structure at different iteration stages. By recording these parameters to form a parameter evolution database, the optimization process can be monitored and traced throughout the process. The parameter evolution database not only helps to analyze the convergence of the optimization process, but also provides a reference for subsequent optimization and adjustment. For example, if an abnormality is found in the optimization process after a certain iteration, the historical data in the parameter evolution database can be analyzed to identify the problem and make adjustments.

[0057] By introducing the penalty function and the parameter evolution database, the conflict between the optimization objectives of high and low frequency bands can be effectively solved, ensuring that the optimization process of the metal mesh meets the actual needs and maintains balance in multi-objective optimization. This strategy not only improves the accuracy of electromagnetic shielding performance, but also ensures the flexibility and operability of the design.

[0058] P50: generating a multi-level metal mesh topology model according to the metal mesh topology model.

[0059] Further, the step P50 of the embodiment of the present application further comprises:

[0060] P51: constructing a multi-layer composite metal mesh structure comprising a high-frequency shielding layer, a low-frequency shielding layer, and a transition layer according to the metal mesh topology model; P52: wherein the grid topology of the high-frequency shielding layer presents a radial distribution with dense center and sparse edges, the low-frequency shielding layer adopts a wavy laminated structure with non-uniform thickness, and the transition layer comprises impedance gradient channels connecting the high-frequency and low-frequency layers.

[0061] Optionally, a multi-level metal mesh structure design scheme is generated according to the metal mesh topology model. Based on the results of topology optimization, combined with the electromagnetic shielding requirements of different frequency bands, a reasonable hierarchical design is made to shield high-frequency interference and low-frequency interference respectively, while providing a transition layer to connect the shielding layers of different frequency bands, ensuring the optimization of the overall shielding effect.

[0062] First, according to the metal mesh topology model, a multi-layer composite metal mesh structure comprising a high-frequency shielding layer, a low-frequency shielding layer, and a transition layer is constructed. In this hierarchical structure, the design of each level is optimized for the electromagnetic wave propagation characteristics of different frequency bands. The high-frequency shielding layer is mainly used to reflect and absorb high-frequency electromagnetic waves, the low-frequency shielding layer reduces the transmission loss of low-frequency electromagnetic waves through the optimization of magnetic permeability and thickness, and the transition layer serves as a bridge between the high-frequency and low-frequency layers, allowing electromagnetic waves of different frequency bands to transition smoothly and avoiding the loss of shielding effect during the transition process.

[0063] Among them, the grid topology of the high-frequency shielding layer adopts a radial distribution with dense center and sparse edges. This design fully utilizes the skin effect of high-frequency electromagnetic waves, i.e., the energy of high-frequency electromagnetic waves is mainly concentrated near the surface of the conductor. By setting denser grids in the center area, the reflection and absorption of high-frequency electromagnetic waves can be effectively enhanced, while appropriately reducing the grid density in the edge area, which optimizes the material utilization rate and ensures the lightweight and economy of the overall structure. This radial grid design can be flexibly adjusted according to the shape and size of the actual shielding area to adapt to different application scenarios.

[0064] The low-frequency shielding layer adopts a non-uniform thickness wave-shaped laminated structure. Low-frequency electromagnetic waves can penetrate deep into the conductor due to the large skin depth, so their shielding effect not only depends on the surface properties, but also closely related to the internal magnetic properties of the material. The non-uniform thickness wave-shaped laminated structure can increase the propagation path length of low-frequency electromagnetic waves inside the metal mesh cloth, thereby enhancing the magnetic field attenuation. By adjusting the undulation and thickness variation of the wave-shaped laminated structure, the energy attenuation path of low-frequency electromagnetic waves can be optimized, further improving the low-frequency shielding effect. This structure design not only effectively shields low-frequency electromagnetic interference, but also to some extent, adapts to different intensity of low-frequency electromagnetic field, has strong adaptability and flexibility.

[0065] Finally, the design of the transition layer includes an impedance gradient channel connecting the high-frequency shielding layer and the low-frequency shielding layer. Due to the large difference in physical properties of high-frequency and low-frequency electromagnetic waves during propagation, directly connecting the shielding layers of these two frequency bands will cause certain performance loss. To solve this problem, the impedance gradient channel of the transition layer adjusts the electrical conductivity, layer thickness and structure density to provide a smooth transition path, so that high-frequency and low-frequency electromagnetic waves can smoothly transition without causing attenuation of the shielding effect. The impedance gradient channel of the transition layer can be customized according to the actual electromagnetic environment and shielding requirements to achieve the best transition effect.

[0066] Through the above steps, the generated metal mesh cloth structure not only effectively shields electromagnetic waves of different frequency bands, but also optimizes the use of materials through reasonable hierarchical design and improves the overall electromagnetic shielding performance of the structure. The design of the high-frequency shielding layer, the low-frequency shielding layer and the transition layer makes the metal mesh cloth structure widely applicable to scenarios that require efficient electromagnetic interference protection.

[0067] Further, the formation of the impedance gradient channel, the embodiment P52 of the application further comprises:

[0068] P52-1: arranging metal fiber clusters with continuously changing electrical conductivity in the vertical direction, the arrangement density of the metal fiber clusters changes nonlinearly along the thickness direction, and the electrical connection between adjacent metal fiber clusters is realized through a dendritic fractal structure.

[0069] Specifically, the formation process of the impedance gradient channel can be further refined, and the gradual change of impedance is realized through the arrangement of metal fiber clusters and the electrical connection between adjacent fiber clusters, thereby realizing the smooth transition between high-frequency and low-frequency electromagnetic waves and ensuring the maximization of the shielding effect.

[0070] Specifically, the metal fiber clusters are arranged in the vertical direction, and the conductivity of these metal fiber clusters is continuously changed. The purpose of this design is to ensure the formation of a smooth impedance gradient between different levels. The arrangement density of the metal fiber clusters changes nonlinearly along the thickness direction, that is, in the area close to the high-frequency shielding layer, the density of the metal fiber clusters is larger to enhance the reflection and absorption ability of high-frequency electromagnetic waves, and in the area close to the low-frequency shielding layer, the density of the fiber clusters gradually decreases to reduce the transmission loss of low-frequency electromagnetic waves. Through this density change, the electromagnetic shielding ability of the metal mesh cloth can be effectively adjusted to ensure that the electromagnetic waves of each frequency band are well shielded.

[0071] In addition, in order to further enhance the electrical connection stability between the metal fiber clusters, the adjacent metal fiber clusters are electrically connected through the dendritic fractal structure. The dendritic fractal structure is a complex geometric shape with self-similarity characteristics, and its branch structure can provide more contact points and connection paths at the microscopic level. This structure not only effectively increases the electrical connection area between the metal fiber clusters and improves the continuity of electrical conductivity, but also to some extent, disperses electromagnetic stress and enhances the stability of the structure. Through the connection of the dendritic fractal structure, the electrical connection between the metal fiber clusters is more reliable, thereby further optimizing the performance of the impedance gradient channel.

[0072] Through the above design, the impedance gradient channel can provide a smooth conductivity transition between the high-frequency and low-frequency shielding layers of the metal mesh cloth, ensuring that the electromagnetic waves can smoothly transition between different levels without significant performance differences between frequency bands. This design not only improves the electromagnetic shielding effect, but also enhances the adaptability of the metal mesh cloth, making it able to cope with various complex electromagnetic interference environments.

[0073] Further, the embodiment of the present application further includes step P60, and step P60 further includes:

[0074] P61: obtaining the shielding effectiveness curve of each frequency band through electromagnetic simulation; P62: identifying the characteristic frequency band with substandard shielding effectiveness based on the shielding effectiveness curve; P63: adjusting the topology parameters of the corresponding layer according to the electromagnetic field distribution characteristics of the characteristic frequency band.

[0075] In a possible embodiment of the present application, the metal mesh cloth structure is simulated and verified, the shielding effectiveness of each frequency band is verified through electromagnetic simulation, and the simulation results are adjusted and optimized to ensure the effectiveness of the design scheme.

[0076] First, the shielding effectiveness curves for each frequency band are obtained through electromagnetic simulation. This process uses electromagnetic simulation software (such as HFSS, CST, etc.) to simulate the electromagnetic shielding effect of the metal mesh cloth under different frequency bands. For example, by establishing a three-dimensional model of the metal mesh cloth and applying the corresponding electromagnetic excitation source in the simulation software, the shielding effectiveness curve under different frequencies can be calculated. These curves represent the reflection, absorption, and transmission loss of electromagnetic waves in different frequency bands. The shielding effectiveness curve can clearly show the propagation characteristics of electromagnetic waves in the mesh structure and the shielding ability of the metal mesh cloth for electromagnetic waves in each frequency band.

[0077] Next, based on the shielding effectiveness curve, identify the characteristic frequency band with substandard shielding effectiveness. In this process, by analyzing the simulation results of each frequency band, the designer can determine which frequency bands have electromagnetic shielding effectiveness that does not meet the expected standard, or which frequency bands have large transmission loss or insufficient reflection loss. These frequency bands are the characteristic frequency bands, which may be due to some design defects or unreasonable parameter settings of the metal mesh cloth structure. For example, the grid density of some frequency bands may not be sufficient to shield high-frequency electromagnetic waves, or the layer spacing and thickness may not be optimized to the best state, thereby affecting the attenuation effect of low-frequency electromagnetic waves.

[0078] Finally, when the characteristic frequency band with substandard shielding effectiveness is identified, the topology parameters of the metal mesh cloth can be adjusted based on the electromagnetic field distribution characteristics (such as electric field intensity, magnetic field intensity distribution, etc.). For example, for the identified characteristic frequency band, further analyze its electromagnetic field distribution characteristics, such as the propagation path of electromagnetic waves under this frequency band, energy concentration area, etc. According to these characteristics, feedback and adjust the topology parameters of the corresponding layer of the metal mesh cloth. For example, if the shielding effectiveness of the high-frequency band is substandard, the reflection and absorption of high-frequency electromagnetic waves can be enhanced by increasing the grid density or adjusting the grid shape; if the shielding effectiveness of the low-frequency band is substandard, the attenuation of low-frequency electromagnetic waves can be enhanced by optimizing the layer spacing and thickness, or adjusting the conductivity distribution of the metal fiber. Through this feedback adjustment mechanism, the metal mesh cloth structure is gradually optimized until the shielding effectiveness of all frequency bands meets the design requirements.

[0079] This process forms a closed-loop optimization system, which generates a metal mesh cloth structure design that can provide excellent electromagnetic shielding effect in all frequency bands through continuous simulation and feedback adjustment. Through this optimization process, the design of the metal mesh cloth will be more accurate and efficient, and can meet the shielding requirements in complex electromagnetic environments.

[0080] In summary, the embodiments of the present application have at least the following technical effects:

[0081] The present application optimizes the propagation characteristics of high-frequency and low-frequency electromagnetic waves through a multi-layer heterogeneous structure design, significantly improving the electromagnetic shielding effect of the metal mesh cloth under each frequency band. By using a multi-scale topological modeling method, the structure parameters of the mesh cloth can be dynamically adjusted according to the characteristics of electromagnetic interference sources at different frequency bands, ensuring that electromagnetic waves at different frequency bands can be effectively shielded. In addition, the topological optimization algorithm reduces material waste, improves production efficiency and reduces costs. Through electromagnetic simulation and feedback optimization mechanism, the stability and repeatability of the metal mesh cloth design under different electromagnetic environments are ensured, solving the problem of unstable electromagnetic shielding effect in traditional design.

[0082] The technical effect of improving the electromagnetic compatibility and stability of the shielding effect of the metal mesh cloth in electromagnetic shielding use is achieved through multi-scale topological modeling and adaptive structure optimization.

[0083] In embodiment two, based on the same inventive concept as the topological form-based metal mesh cloth structure optimization method in the preceding embodiments, as shown in Figure 2 The present application provides a topological form-based metal mesh cloth structure optimization system, and the system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0084] An electromagnetic interference analysis module 11 is configured to analyze the frequency bands of electromagnetic interference sources in the target shielding area, and obtain the electromagnetic wave propagation characteristics and distribution parameters corresponding to the frequency bands.

[0085] A topological optimization function construction module 12 is configured to construct a topological optimization objective function for describing the electromagnetic shielding effect based on the electromagnetic wave propagation characteristics and distribution parameters, and the objective function includes multiple trade-off objectives.

[0086] A parameterized modeling module 13 is configured to perform parameterized modeling of the metal mesh cloth structure using multi-scale topological modeling, and generate an initial mesh cloth topological structure.

[0087] A structure weight adjustment module 14 is configured to perform structure weight adjustment on the high-frequency interference frequency band and the low-frequency interference frequency band of the initial mesh cloth topological structure based on the topological optimization objective function, respectively, to form a multi-layer heterogeneous structure of the metal mesh cloth topological model.

[0088] A scheme generation module 15 is configured to generate a structure design scheme of a multi-layer metal mesh cloth according to the metal mesh cloth topological model.

[0089] Further, the electromagnetic interference analysis module 11 is further configured to perform the following steps:

[0090] The electromagnetic radiation energy spectrum of the target area is measured, and the key interference frequency band is divided according to a preset energy threshold; according to the inverse relationship between the skin depth of electromagnetic waves and the frequency, the key interference frequency band is classified into a high-frequency interference frequency band and a low-frequency interference frequency band; the power distribution and phase information of the high-frequency interference frequency band and the low-frequency interference frequency band are obtained by using a frequency energy distribution algorithm; and the electromagnetic field intensity distribution parameters in the region are defined according to the waveguide effect and refraction characteristics of electromagnetic wave propagation.

[0091] Further, the topology optimization function construction module 12 is further used to execute the following steps:

[0092] According to the characteristics of the high-frequency interference frequency band, a first optimization objective function corresponding to the high-frequency interference is established, and the optimization variable is the surface conductivity distribution of the metal mesh cloth; according to the characteristics of the low-frequency interference frequency band, a second optimization objective function corresponding to the low-frequency interference is established, and the optimization variable is the interlayer permeability distribution; and the sensitivity analysis results of the first optimization objective function and the second optimization objective function are coupled to generate a topology optimization objective function with frequency band adaptability.

[0093] Further, the parameterized modeling module 13 is further used to execute the following steps:

[0094] An envelope boundary constraint matching the shielding region shape is established at the macro-scale level; an initial mesh distribution is generated according to the topology optimization objective function at the meso-scale level; and the metal fiber cross nodes are parameterized and designed according to the frequency band characteristics at the micro-scale level, wherein the node form can be adjusted according to the frequency band characteristics of the region.

[0095] Further, the structure weight adjustment module 14 is further used to execute the following steps:

[0096] For the high-frequency interference frequency band, the sensitivity coefficients of each mesh element are calculated according to the surface current distribution, and the mesh density is adjusted according to the sensitivity coefficient sorting; for the low-frequency interference frequency band, the optimization weights of each layer are calculated according to the magnetic field attenuation rate, and the interlayer spacing and thickness are adjusted; the above adjustment is iteratively executed until the topology optimization objective function converges, and a metal mesh cloth topology model of a multi-layer heterogeneous structure is formed.

[0097] Further, the structure weight adjustment module 14 is further used to execute the following steps:

[0098] When the high-frequency band and the low-frequency band optimization objectives conflict, the shielding requirements of the main interference frequency band are preferentially guaranteed, a penalty function is introduced to coordinate the multi-objective optimization process, and the optimization parameters of each iteration are recorded to form a parameter evolution database.

[0099] Further, the scheme generation module 15 is further used to execute the following steps:

[0100] According to the metal mesh topology model, a multi-layer composite metal mesh structure including a high-frequency shielding layer, a low-frequency shielding layer and a transition layer is constructed; wherein the grid topology of the high-frequency shielding layer presents a radial distribution with dense edges in the center, the low-frequency shielding layer adopts a wave-shaped laminated structure with non-uniform thickness, and the transition layer includes an impedance gradient channel connecting the high-frequency and low-frequency layers.

[0101] Further, the scheme generation module 15 is further configured to perform the following steps:

[0102] The metal fiber clusters with continuously changing conductivity are arranged in the vertical direction, the arrangement density of the metal fiber clusters changes nonlinearly along the thickness direction, and the electrical connection between adjacent metal fiber clusters is realized through a dendritic fractal structure.

[0103] Further, the system further comprises a simulation feedback adjustment module configured to perform the following steps:

[0104] The shielding effectiveness curves of each frequency band are obtained through electromagnetic simulation; based on the shielding effectiveness curves, the characteristic frequency bands with substandard shielding effectiveness are identified; and the topological parameters of the corresponding layer are adjusted according to the electromagnetic field distribution characteristics of the characteristic frequency bands.

[0105] Embodiment three, exemplary electronic device

[0106] The electronic device of the embodiments of the present application will be described below with reference to Figure 3

[0107] Based on the same inventive concept as the metal mesh structure optimization method based on topological morphology in the foregoing embodiments, the present application also provides a metal mesh structure optimization system based on topological morphology, comprising: a processor coupled with a memory, the memory being configured to store a program, when the program is executed by the processor, the system is caused to perform the steps of the method of embodiment one.

[0108] The electronic device 300 includes a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 can also include a bus architecture 304. The communication interface 303, the processor 302, and the memory 301 can be connected to each other through the bus architecture 304; the bus architecture 304 can be a peripheral component interconnect (peripheral component interconnect, abbreviated as PCI) bus or an extended industry standard architecture (extended industry Standard architecture, abbreviated as EISA) bus, etc. The bus architecture 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 In the figure, only one thick line is used to represent, but it does not mean that there is only one bus or one type of bus. ​

[0109] The processor 302 can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of programs of the embodiments.

[0110] The communication interface 303, using any transceiver-like device, is used to communicate with other devices or communication networks, such as an Ethernet, a radio access network (RAN), a wireless local area network (WLAN), a wired access network, etc.

[0111] The memory 301 can be a ROM, or other type of static storage device that can store static information and instructions; a RAM, or other type of dynamic storage device that can store information and instructions; an electrically erasable programmable read only memory (EEPROM), a compact disc read only memory (CD ROM) or other optical disk storage, an optical disk storage including a compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc., a magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to. The memory can exist independently, connected to the processor through the bus architecture 304. The memory can also be integrated with the processor.

[0112] The memory 301 is configured to store computer-executable instructions for implementing the embodiments, and the processor 302 is configured to control the execution of the computer-executable instructions stored in the memory 301. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, thereby implementing the topology-based metal mesh structure optimization method provided by the above-described embodiments.

[0113] It should be noted that the above-described sequence of the embodiments is only for description, and does not represent the advantages and disadvantages of the embodiments. The above-described embodiments are described in the specification. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0114] The above is only the preferred embodiment of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0115] The specification and drawings are, of course, to be regarded in an illustrative rather than a restrictive sense. It is to be understood that any such modifications, variations, combinations or equivalents which fall within the scope of the application are intended to be embraced herein.

Claims

1. A method for optimizing metal mesh structures based on topology, characterized in that, The method includes: Electromagnetic interference source frequency band analysis is performed on the target shielded area to obtain the electromagnetic wave propagation characteristics and distribution parameters of the corresponding frequency band; Based on the electromagnetic wave propagation characteristics and distribution parameters, a topology optimization objective function is constructed to describe the electromagnetic shielding effect. The objective function includes multiple trade-off objectives. Multi-scale topology modeling is used to parametrically model the metal mesh structure and generate the initial mesh topology. Based on the topology optimization objective function, structural weight adjustments are performed on the high-frequency interference band and low-frequency interference band of the initial mesh topology to form a multi-layer heterogeneous metal mesh topology model. Based on the metal mesh topology model, a multi-layer metal mesh structural design scheme is generated. Based on the electromagnetic wave propagation characteristics and distribution parameters, a topology optimization objective function is constructed to describe the electromagnetic shielding effect, including: Based on the characteristics of high-frequency interference bands, a first optimization objective function corresponding to high-frequency interference is established, and the optimization variable is the surface conductivity distribution of the metal mesh. Based on the characteristics of the low-frequency interference band, a second optimization objective function corresponding to the low-frequency interference is established, and the optimization variable is the interlayer permeability distribution. The sensitivity analysis results of the first optimization objective function and the second optimization objective function are coupled to generate a topology optimization objective function with frequency band adaptability; Based on the aforementioned topology optimization objective function, structural weight adjustments are performed on the high-frequency and low-frequency interference bands of the initial mesh topology to form a multi-layer heterogeneous metal mesh topology model, including: For the high-frequency interference band, the sensitivity coefficient of each grid cell is calculated based on the surface current distribution, and the grid density is adjusted according to the sensitivity coefficients. For the low-frequency interference band, the optimized weight of each layer is calculated based on the magnetic field attenuation rate, and the interlayer spacing and thickness are adjusted accordingly. The above adjustments are iteratively executed until the topology optimization objective function converges, forming a multi-layered heterogeneous metal mesh topology model. The structural weight adjustment also includes: When the optimization objectives of high-frequency band and low-frequency band conflict, priority is given to ensuring the shielding requirements of the main interference frequency band. A penalty function is introduced to coordinate the multi-objective optimization process, and the optimization parameters of each iteration are recorded to form a parameter evolution database.

2. The method for optimizing metal mesh structures based on topology as described in claim 1, characterized in that, Electromagnetic interference source frequency band analysis is performed on the target shielded area to obtain the electromagnetic wave propagation characteristics and distribution parameters of the corresponding frequency band, including: Measure the electromagnetic radiation energy spectrum of the target area across the entire frequency band, and divide the key interference frequency bands according to the preset energy threshold; Based on the inverse relationship between the skin depth and frequency of electromagnetic waves, key interference frequency bands are classified into high-frequency interference bands and low-frequency interference bands. The power distribution and phase information of the high-frequency interference band and the low-frequency interference band are obtained by using a frequency domain energy distribution algorithm. Based on the waveguide effect and refraction characteristics of electromagnetic wave propagation, the electromagnetic field intensity distribution parameters within the region are defined.

3. The method for optimizing metal mesh structures based on topology as described in claim 1, characterized in that, The multi-scale topology modeling includes: Establish envelope boundary constraints at the macro-scale level that match the shape of the shielded area; At the mesoscale level, an initial grid distribution is generated based on the aforementioned topology optimization objective function; At the microscale level, metal fiber cross nodes are designed parametrically based on frequency band characteristics, with the node shape adjusted according to the frequency band characteristics of the region.

4. The method for optimizing metal mesh structures based on topology as described in claim 1, characterized in that, Based on the aforementioned metal mesh topology model, a multi-layered metal mesh structural design scheme is generated, including: Based on the metal mesh topology model, a multi-layer composite metal mesh structure including a high-frequency shielding layer, a low-frequency shielding layer, and a transition layer is constructed. The high-frequency shielding layer has a radial distribution with a denser center and sparser edges, the low-frequency shielding layer adopts a wavy stacked structure with non-uniform thickness, and the transition layer includes an impedance gradient channel connecting the high and low frequency layers.

5. The method for optimizing metal mesh structures based on topology as described in claim 4, characterized in that, The formation of the impedance gradient channel includes: A cluster of metal fibers with continuously varying conductivity is arranged in the vertical direction. The density of the metal fiber clusters varies non-linearly along the thickness direction, and adjacent metal fiber clusters are electrically connected through a dendritic fractal structure.

6. The method for optimizing metal mesh structures based on topology as described in claim 1, characterized in that, The method further includes: The shielding effectiveness curves for each frequency band were obtained through electromagnetic simulation. Based on the shielding effectiveness curve, identify the characteristic frequency bands where the shielding effectiveness is substandard; The topology parameters of the corresponding layer are adjusted based on the electromagnetic field distribution characteristics of the characteristic frequency band.

7. A metal mesh structure optimization system based on topology, characterized in that, The system includes: An electromagnetic interference analysis module is used to perform electromagnetic interference source frequency band analysis on the target shielded area and obtain the electromagnetic wave propagation characteristics and distribution parameters of the corresponding frequency band. A topology optimization function construction module is used to construct a topology optimization objective function to describe the electromagnetic shielding effect based on the electromagnetic wave propagation characteristics and distribution parameters. The objective function includes multiple trade-off objectives. The parametric modeling module is used to perform parametric modeling of the metal mesh structure using multi-scale topology modeling to generate an initial mesh topology. The structural weight adjustment module is used to perform structural weight adjustment on the high-frequency interference band and low-frequency interference band of the initial mesh topology based on the topology optimization objective function, so as to form a multi-layer heterogeneous metal mesh topology model. The scheme generation module is used to generate a structural design scheme for a multi-layer metal mesh based on the metal mesh topology model. Furthermore, the topology optimization function construction module is also used to perform the following steps: Based on the characteristics of high-frequency interference bands, a first optimization objective function corresponding to high-frequency interference is established, and the optimization variable is the surface conductivity distribution of the metal mesh. Based on the characteristics of the low-frequency interference band, a second optimization objective function corresponding to the low-frequency interference is established, and the optimization variable is the interlayer permeability distribution. The sensitivity analysis results of the first optimization objective function and the second optimization objective function are coupled to generate a topology optimization objective function with frequency band adaptability; Furthermore, the structure weight adjustment module is also used to perform the following steps: For the high-frequency interference band, the sensitivity coefficient of each grid cell is calculated based on the surface current distribution, and the grid density is adjusted according to the sensitivity coefficients. For the low-frequency interference band, the optimized weight of each layer is calculated based on the magnetic field attenuation rate, and the interlayer spacing and thickness are adjusted accordingly. The above adjustments are iteratively executed until the topology optimization objective function converges, forming a multi-layered heterogeneous metal mesh topology model. Furthermore, the structure weight adjustment module is also used to perform the following steps: When the optimization objectives of high-frequency band and low-frequency band conflict, priority is given to ensuring the shielding requirements of the main interference frequency band. A penalty function is introduced to coordinate the multi-objective optimization process, and the optimization parameters of each iteration are recorded to form a parameter evolution database.

8. An electronic device, characterized in that, include: A processor coupled to a memory for storing a program that, when executed by the processor, causes the system to perform the steps of the method as claimed in any one of claims 1 to 6.

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