Cable shielding effectiveness evaluation method, device, equipment and medium

Abstract

The invention relates to the technical field of cables, and discloses a cable shielding effectiveness evaluation method, device and equipment and a medium, and the method comprises the steps: constructing a coaxial body of a to-be-simulated analysis cable; constructing pore units for simulating pores among single braided wires, and distributing a plurality of pore units around a shaft to obtain a pore unit set; based on the coaxial central axis of the coaxial body, periodically placing the pore unit set in the coaxial body to obtain a shielding layer with periodic pores; and simulating different compilation densities by adjusting parameters of the pore units, and simulating the coaxial body containing the shielding layer to obtain an evaluation result. The multi-parameter research and performance optimization of the influence of the knitting density on the shielding effectiveness are efficiently and systematically carried out, and the technical problem of how to efficiently and accurately simulate the influence of different knitting densities on the shielding effectiveness is solved.

Description

Technical Field

[0001] This application relates to the field of cable technology, and in particular to a method, apparatus, equipment and medium for evaluating cable shielding effectiveness. Background Technology

[0002] Simulation modeling methods for braided structures are mainly based on two approaches: First, the ideal uniform layer model simplifies the braided layer into a continuous, non-porous metal tubular structure. While this method is computationally simple and inexpensive, it completely ignores the actual pore structure, resulting in simulated shielding effectiveness that is significantly higher than reality, especially at higher frequencies (e.g., >1 GHz), and it fails to reflect the impact of variations in braid density. Second, the random bundle model approximates the real braided form by establishing a large number of randomly distributed, interwoven fine cylinders. Theoretically, this is closer to physical reality, but it also comes with a series of prominent problems: complex geometric modeling, relying on specific scripts or techniques to generate the random interwoven structure; difficult mesh generation, as the large number of fine, randomly distributed bundles leads to a dramatic increase in the number of elements and makes it difficult to control mesh quality; high computational cost, with the large model size resulting in slow solution and high memory consumption; and cumbersome parameter adjustment, requiring the reconstruction of the entire random geometry for changes in parameters such as braid density, making it difficult to support systematic parameter studies.

[0003] Therefore, solving the problem of how to efficiently and accurately simulate the impact of different weaving densities on shielding effectiveness is a pressing technical issue that needs to be addressed. Summary of the Invention

[0004] This application provides a method, apparatus, device, and medium for evaluating cable shielding effectiveness, which solves the technical problem of how to efficiently and accurately simulate the impact of different braiding densities on shielding effectiveness.

[0005] To achieve the above objectives, the main technical solutions adopted in this application include: In a first aspect, embodiments of this application provide a method for evaluating cable shielding effectiveness. The method includes: Construct a coaxial structure for the cable to be simulated and analyzed; A pore unit is constructed to simulate the porosity between individual braided threads, and a pore unit set is obtained by distributing multiple pore units around an axis; Based on the coaxial central axis of the coaxial body, the pore unit assembly is periodically placed in the coaxial body to obtain a shielding layer with periodic pores. By adjusting the parameters of the pore units to simulate different weaving densities, a coaxial body containing the shielding layer is simulated to obtain evaluation results.

[0006] This embodiment provides a method for evaluating cable shielding effectiveness. This method uses the central axis of a coaxial structure as a geometric reference. It simulates the microscopic pores between individual braided wires by constructing parameterizable porous units. Multiple porous units are periodically arranged around the axis with staggered projections, forming a periodic shielding layer structure that can equivalently characterize different braid densities. By independently adjusting the cross-sectional dimensions (e.g., width and length) of the porous units, a series of simulation models with different equivalent braid densities can be quickly generated. This modeling strategy achieves high geometric simplification and mesh optimization, significantly reducing the resources required for a single simulation. This enables efficient and systematic multi-parameter studies and performance optimization of the influence of braid density on shielding effectiveness under ordinary computational conditions, solving the technical problem of how to efficiently and accurately simulate the influence of different braid densities on shielding effectiveness.

[0007] In one embodiment, obtaining a pore unit set by distributing a plurality of the pore units around an axis includes: Based on the bottom diagonal of the pore unit as the axis of rotation, multiple pore units placed at different angles are generated around the circumference of the axis of rotation to obtain a pore unit set.

[0008] This embodiment significantly reduces simulation costs by distributing multiple pore elements around an axis to obtain a pore element set. In contrast, random wire harness models require defining the position and direction of each wire harness independently, resulting in numerous parameters that are difficult to regularize, leading to a substantial increase in modeling and computation costs. Therefore, the modeling method used in this embodiment not only greatly simplifies the geometric modeling process but also significantly reduces the resource requirements for subsequent simulation analysis.

[0009] In one embodiment, the rotation angles at which the multiple pore elements are generated are equal.

[0010] This embodiment effectively simulates the geometry of real braided cables by uniformly setting the same rotation angle parameter across multiple pore units. By strictly following the pattern of alternating rotation and winding of the copper wire axis disc at a fixed angle in the actual braiding process, the periodic rhomboid pore network formed during braiding is reproduced at the structural level. This simulation strategy not only significantly improves the accuracy of electromagnetic shielding effect prediction but also provides a reliable geometric basis for the subsequent pore simulation design of the shielding layer.

[0011] In one embodiment, the height of the pore unit is greater than the outer diameter of the coaxial body.

[0012] This embodiment effectively ensures the smooth execution of subsequent Boolean subtraction operations by setting the height of the pore element to be greater than the outer diameter of the coaxial body. The length of the pore element can completely penetrate or cover the area of ​​the coaxial body to be cut, thus geometrically avoiding the inability to effectively simulate the fabrication density due to insufficient pore element height. This setting not only makes the execution of Boolean subtraction more stable and reliable, but also improves the efficiency and accuracy of the modeling process, laying an accurate geometric foundation for subsequent simulation analysis.

[0013] In one embodiment, periodically arranging the pore unit assembly on the coaxial body includes: The central axis of the coaxial body is determined as the reference. The pore element set is periodically placed horizontally along the length direction of the reference, wherein the center point of the pore element set is located on the reference.

[0014] This embodiment simplifies the simulation and significantly reduces the number of meshes by determining the central axis of the coaxial body as a reference and periodically arranging porous elements along the length of this reference. This approach significantly reduces the computational resource requirements of the simulation (such as memory usage and CPU computation time), thereby reducing the time required for a single simulation from 96 hours to 2 hours, resulting in a significant improvement in efficiency. Simultaneously, within a 6GHz bandwidth range, this method maintains good data consistency, effectively balancing computational accuracy and efficiency. Therefore, this framework makes it possible to conduct multi-parameter influence studies on systems with ordinary computing resource configurations, providing an efficient and feasible modeling strategy for similar simulations.

[0015] In one embodiment, the periodically horizontally arranged pore unit set includes: The projections of the horizontally placed odd-numbered sequence and the even-numbered sequence of pore units are staggered.

[0016] This embodiment rotates a specific sequence of porous elements around a central axis, creating a regular angular distribution in the circumferential direction. Through this regularization and rotational transformation, the structure maintains significant periodicity and symmetry in the axial direction while significantly reducing the element density in the radial direction. This design not only simplifies the complexity of the geometric model but also effectively reduces the number of meshes and the computational scale during simulation, thereby reducing memory usage and computational resource requirements, and improving the efficiency of numerical simulation.

[0017] In one implementation, it includes: The odd-numbered sequence of pore units overlaps in projection. The even-numbered sequence of pore units overlaps in projection. The projections of the set of pore units in the odd-numbered sequence and the set of pore units in the even-numbered sequence are staggered.

[0018] In this embodiment, the projections of all odd-numbered elements in the pore element set completely overlap, and the projections of all even-numbered elements also completely overlap. The projections between odd and even sequences are offset from each other by an angle smaller than the angle between adjacent pore elements. This geometric configuration, with alternating axial arrangement and staggered projection planes, maintains the periodicity of the structure while avoiding dense overlapping of projection areas. This facilitates more uniform mesh density and more efficient mesh generation in simulation modeling, improving simulation efficiency and accuracy.

[0019] Secondly, embodiments of this application provide a device for evaluating cable shielding effectiveness, the device comprising: The coaxial body determination unit is used to construct the coaxial body of the cable to be simulated and analyzed; A pore element set determination unit is used to construct pore elements for simulating the pores between individual braided threads, and a pore element set is obtained by distributing multiple pore elements around an axis; A shielding layer determining unit is used to periodically place the pore unit set in the coaxial body based on the coaxial central axis of the coaxial body to obtain a shielding layer with periodic pores. A textile density determination unit is used to simulate different weaving densities by adjusting the parameters of the pore unit to simulate a coaxial body containing the shielding layer and obtain evaluation results.

[0020] Thirdly, embodiments of this application provide a computer device, including: The system includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes these computer instructions to perform the cable shielding effectiveness evaluation method as described above.

[0021] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer instructions, which are used to cause a computer to execute the cable shielding effectiveness evaluation method described above. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0023] Figure 1 A flowchart illustrating a method for evaluating cable shielding effectiveness provided in an embodiment of this application; Figure 2 A schematic diagram of the shielding layer provided in the embodiments of this application; Figure 3 A schematic diagram of the pore unit provided in the embodiments of this application; Figure 4 This is a schematic diagram of a pore unit assembly provided in an embodiment of this application; Figure 5 A flowchart of step S51 provided in an embodiment of this application; Figure 6 This is a schematic diagram of the shielding layer target body provided in the embodiments of this application; Figure 7 The simulation results for a weave density of 0.68 provided in this application embodiment are shown in the figure. Figure 8 The simulation results for a weaving density of 0.96 provided for the embodiments of this application are shown in the figure. Figure 9 An evaluation device for cable shielding effectiveness is provided for embodiments of this application; Figure 10 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] Currently, there are two main types of methods for simulation modeling of the shielding effectiveness of braided structures: The first type is the "ideal uniform layer model," which simplifies the braided layer into a continuous, non-porous metal tubular structure. While this method is simple to model and computationally efficient, it completely ignores the actual existence of pores, leading to a significant overestimation of shielding effectiveness in simulation results (especially at high frequencies), and it cannot examine the influence of braid density. The second type is the "random wire harness model," which approximates the real geometry by constructing a large number of randomly interwoven fine cylinders. While this method is more accurate in physical representation, it faces inherent limitations such as complex modeling, difficult mesh generation, high computational costs, and cumbersome parameter adjustment, making it difficult to achieve efficient and systematic parameterized analysis and optimization in engineering practice. Both of these methods struggle to balance accuracy and efficiency, limiting their effective application in the design and evaluation of complex braided structures.

[0026] In conclusion, how to efficiently and accurately simulate the impact of different weaving densities on shielding effectiveness is a technical problem that urgently needs to be solved.

[0027] To address the aforementioned technical problems, according to an embodiment of this application, an embodiment of a method for evaluating cable shielding effectiveness is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0028] This embodiment provides a method for evaluating cable shielding effectiveness. Figure 1 A flowchart illustrating a method for evaluating cable shielding effectiveness provided in this application embodiment is shown below. Figure 1 As shown, the process includes the following steps: Step S1: Construct the coaxial body of the cable to be simulated and analyzed.

[0029] Specifically, based on the physical dimensions of the cable to be simulated (including length and diameter), a coaxial body of the same physical dimensions is created in the simulation software. This coaxial body can be a cylinder or cylindrical surface (i.e., a tubular structure) surrounding the inner conductor. In the simulation, it represents a shielding layer with 100% braid coverage and no gaps. This method establishes the geometric model for subsequent simulations and provides a theoretical reference for comparative analysis or under ideal conditions.

[0030] Step S3: Construct a pore unit to simulate the gaps between individual braided threads by distributing multiple pore units around an axis to obtain a pore unit set.

[0031] Specifically, this method constructs independent pore units capable of accurately simulating the gaps between individual braided threads. These pore units are prisms, and multiple pore units are regularly distributed around their base diagonals as rotation axes to form a pore unit set. Taking a quadrangular prism as an example: the dimensions (e.g., length and width) of its base (usually a rhombus or square) and the height of the prism (the vertical distance from one base to another) are determined. Then, an affine transformation of rotation-copying around the pore units is performed to generate an array. This process produces a series of quadrangular prism units with regularly varying spatial orientations to obtain the pore unit set. This method not only achieves geometric abstraction and efficient parametric modeling of complex braided pore structures but also significantly reduces the computational resource requirements (such as memory and CPU time) of the simulation through reasonable model simplification and mesh optimization, thereby shortening the time required for a single simulation. This technical approach makes it possible to systematically study the effects of multiple parameters such as braiding density and pore morphology under conventional computational conditions, providing a reliable and efficient analytical basis for rapid performance evaluation and optimization design.

[0032] Step S5: Based on the coaxial central axis of the coaxial body, periodically place the pore unit set in the coaxial body to obtain a shielding layer with periodic pores.

[0033] Specifically, a geometric reference is established based on the central axis of the coaxial body, and a set of pore elements is arranged periodically along this reference. By removing the overlapping positions of the coaxial body and the pore element set, a shielding layer structure with a periodic pore distribution can be constructed. For the specific shielding layer structure, please refer to [reference needed]. Figure 2 This method significantly reduces the computational resource requirements (such as memory and CPU time) for simulations by reasonably simplifying the model and optimizing the mesh, thereby greatly improving computational efficiency. Thanks to this efficiency improvement, multi-parameter studies become possible on conventional computing resources, providing a feasible and efficient approach for in-depth analysis and optimization of shielding layer performance.

[0034] Step S7: Simulate different weaving densities by adjusting the parameters of the pore elements to obtain evaluation results for the coaxial body containing the shielding layer.

[0035] Specifically, the cross-sectional dimensions of the porous elements (e.g., the width W and length L of a quadrangular prism cross-section) are key control parameters. By parametrically and independently adjusting the values ​​of the width W and length L, the macroscopic weave density of the structure can be precisely and equivalently controlled. Since W and L are well-defined and independent geometric parameters, a series of simulation models with different equivalent weave densities can be quickly generated simply by modifying their values. This parametric method is simple and efficient, greatly facilitating the systematic study of the impact of weave density on material or structural properties, and providing a flexible and reliable modeling approach for multi-condition analysis and optimization.

[0036] This embodiment provides a method for evaluating cable shielding effectiveness. This method uses the central axis of a coaxial structure as a geometric reference. It simulates the microscopic pores between individual braided wires by constructing parameterizable porous units. Multiple porous units are periodically arranged around the axis with staggered projections, forming a periodic shielding layer structure that can equivalently characterize different braid densities. By independently adjusting the cross-sectional dimensions (e.g., width and length) of the porous units, a series of simulation models with different equivalent braid densities can be quickly generated. This modeling strategy achieves high geometric simplification and mesh optimization, significantly reducing the resources required for a single simulation. This enables efficient and systematic multi-parameter studies and performance optimization of the influence of braid density on shielding effectiveness under ordinary computational conditions, solving the technical problem of how to efficiently and accurately simulate the influence of different braid densities on shielding effectiveness.

[0037] In one alternative embodiment, a pore element set is obtained by distributing multiple pore elements around an axis, including: Based on the bottom diagonal of the pore element as the axis of rotation, multiple pore elements placed at different angles are generated around the circumference of the axis of rotation to obtain a pore element set.

[0038] Specifically, the spatial position and direction of the rotation axis are set using the bottom diagonal of the pore unit as the rotation axis. The bottom diagonal can be referenced in detail below. Figure 3 The line segment OA shown is then rotated cyclically around a rotation axis, replicating and transforming the pore elements according to a set rotation angle to generate a pore element set consisting of a series of identical pore elements. The bottom facet diagonals of all pore elements completely coincide with the rotation axis. For a diagram of the specific pore element set, please refer to [reference needed]. Figure 4 .

[0039] This embodiment significantly reduces simulation costs by distributing multiple pore elements around an axis to obtain a pore element set. In contrast, random wire harness models require defining the position and direction of each wire harness independently, resulting in numerous parameters that are difficult to regularize, leading to a substantial increase in modeling and computation costs. Therefore, the modeling method used in this embodiment not only greatly simplifies the geometric modeling process but also significantly reduces the resource requirements for subsequent simulation analysis.

[0040] In one alternative embodiment, the rotation angles at which the multiple pore elements are generated are equal.

[0041] Specifically, by setting the same rotation angle, the pore unit can better mimic the braiding density of a cable. For example, in actual cable braiding, the braiding machine drives the shaft carrying the braided thread to rotate and wind around the central axis of the cable in both clockwise and counterclockwise directions at a constant speed and angle. This regular and repetitive mechanical motion forms a regular, periodic cross structure, thereby producing a series of similar micropores. The size, shape, and uniformity of distribution of these pores directly depend on the rotation angle, the tension of the copper wire braid, and the interlacing frequency during the braiding process. On the same cross-section, all pores appear sequentially at exactly the same rotation angle interval. This geometric periodicity is the core characteristic of the braiding process and directly affects the electromagnetic shielding effect.

[0042] This embodiment effectively simulates the geometry of real braided cables by uniformly setting the same rotation angle parameter across multiple pore units. By strictly following the pattern of alternating rotation and winding of the copper wire axis disc at a fixed angle in the actual braiding process, the periodic rhomboid pore network formed during braiding is reproduced at the structural level. This simulation strategy not only significantly improves the accuracy of electromagnetic shielding effect prediction but also provides a reliable geometric basis for the subsequent pore simulation design of the shielding layer.

[0043] In one alternative embodiment, the height of the pore element is greater than the outer diameter of the coaxial body.

[0044] Specifically, by setting pore elements with a height greater than the outer diameter of the coaxial body, the simulation ensures that the pore elements leave pores in the coaxial body through Boolean subtraction. Boolean subtraction involves precisely removing material from a main object (such as the coaxial body) that intersects with one or more tool objects (such as pore elements), thus generating a new object. During this operation, the intersection of computational space is represented by the boundary of the coaxial body with the pore elements, and the overlapping area of ​​the coaxial body with the pore elements is removed, resulting in the formation of multiple pores on the coaxial body. These pores have the same shape as the pore elements.

[0045] This embodiment effectively ensures the smooth execution of subsequent Boolean subtraction operations by setting the height of the pore element to be greater than the outer diameter of the coaxial body. The height of the pore element can completely penetrate or cover the area of ​​the coaxial body to be cut, thus geometrically avoiding the inability to effectively simulate the fabrication density due to insufficient pore element height. This setting not only makes the execution of Boolean subtraction more stable and reliable, but also improves the efficiency and accuracy of the modeling process, laying an accurate geometric foundation for subsequent simulation analysis.

[0046] Figure 5 The flowchart for step S5 provided in the embodiments of this application may include the following steps: Step S51: Determine the central axis of the coaxial body as the reference.

[0047] Specifically, in a coaxial structure, its central axis is defined as the reference. Taking a hollow cylinder as an example: the central axis is a straight line passing through the centers of the two parallel annular bases of the hollow cylinder and perpendicular to these two bases. This axis is located at the center of symmetry of the hollow cylinder and runs through the entire height direction of the cylinder, providing a unified reference for the positioning and arrangement of the porosity element set. Based on the established central axis, porosity elements can be systematically embedded along this reference in the simulation environment, thereby establishing a simulation model that conforms to the actual structural characteristics. This approach helps improve the accuracy and computational efficiency of subsequent porosity-scale simulations, providing a reliable structural foundation for simulation analysis.

[0048] Step S53: Periodically place the pore element set horizontally along the length direction of the reference, wherein the center point of the pore element set is located on the reference.

[0049] Specifically, along the reference length, the pore element sets are arranged horizontally and periodically, with the center point of each pore element set precisely falling on this reference line. The center point is the midpoint of the bottom diagonal OA of the pore element. Simultaneously, the center point spacing of each pore element set is kept equal. This arrangement geometrically maintains the axial periodicity, which is beneficial for constructing a uniform and periodic simulation structure model.

[0050] This embodiment simplifies the simulation and significantly reduces the number of meshes by determining the central axis of the coaxial body as a reference and periodically arranging porous elements along the length of this reference. This approach significantly reduces the computational resource requirements of the simulation (such as memory usage and CPU computation time), thereby reducing the time required for a single simulation from 96 hours to 2 hours, resulting in a significant improvement in efficiency. Simultaneously, within a 6GHz bandwidth range, this method maintains good data consistency, effectively balancing computational accuracy and efficiency. Therefore, this framework makes it possible to conduct multi-parameter influence studies on systems with ordinary computing resource configurations, providing an efficient and feasible modeling strategy for similar simulations.

[0051] In one alternative embodiment, the pore element set is periodically placed horizontally, including: The projections of the horizontally placed sets of odd-numbered and even-numbered pore units are staggered.

[0052] Specifically, the midpoint of each pore unit set is aligned with the central axis, and each pore unit set is perpendicular to the central axis and equidistantly arranged along the central axis. This allows the even- or odd-numbered sequences of pore unit sets to rotate as a whole, causing their projections to be misaligned. Ultimately, viewed vertically from directly above, the odd and even sequences exhibit a regular misalignment in both the axial and lateral directions. The central axis serves as both the geometric reference and the axis of symmetry. The midpoint of each pore unit set is aligned with the central axis, ensuring the axial symmetry of the structure. The plane containing each set is perpendicular to this central axis and periodically arranged at strictly equidistant intervals along the axial direction, thus establishing a clear and uniform topological order along the central axis. Within this equidistant arrangement framework, by applying a rotational operation around the axis to the sequence of pore unit sets (such as the even-numbered sequence), a specific angle is created between them and adjacent sequences. This results in the projection misalignment between the odd-numbered and even-numbered sequences of pore unit sets.

[0053] This embodiment rotates a specific sequence of porous elements around a central axis, creating a regular angular distribution in the circumferential direction. Through this regularization and rotational transformation, the structure maintains significant periodicity and symmetry in the axial direction while significantly reducing the element density in the radial direction. This design not only simplifies the complexity of the geometric model but also effectively reduces the number of meshes and the computational scale during simulation, thereby reducing memory usage and computational resource requirements, and improving the efficiency of numerical simulation.

[0054] In one alternative embodiment, the projection offset between the sets of odd-numbered and even-numbered pore elements includes: The projections of the sets of pore units in the odd-numbered sequence overlap.

[0055] The projections of even-numbered sequences of pore units overlap.

[0056] The projections of the pore unit set of the odd-numbered sequence are offset from those of the pore unit set of the even-numbered sequence.

[0057] Specifically, the projection relationship of the pore element sets exhibits a clear pattern: the projections of all odd-numbered pore element sets in a specified direction completely overlap, and the same applies to all even-numbered sets, resulting in completely overlapping projections. The projections of odd-numbered and even-numbered sequences are staggered, with the maximum stagger angle being strictly less than the angle between any two adjacent pore elements in the same pore element set, and the minimum being greater than 0 degrees (where the optimal stagger angle is half the angle between adjacent pore elements). That is, they do not overlap on the projection plane, forming a spatially staggered distribution to obtain the shielding layer target body from which the overlapping portion needs to be removed. The specific constructed shielding layer target body diagram can be referenced. Figure 6 This odd-even misaligned projection relationship essentially reflects the geometric characteristics of the pore elements arranged alternately along the axis. It not only ensures the periodicity of the structure, but also avoids the densification of overlapping projection areas by staggering the arrangement, which is conducive to achieving more uniform textile density and more efficient mesh generation in simulation.

[0058] In this embodiment, the projections of all odd-numbered elements in the pore element set completely overlap, and the projections of all even-numbered elements also completely overlap. The projections between odd and even sequences are offset from each other by an angle smaller than the angle between adjacent pore elements. This geometric configuration, with alternating axial arrangement and staggered projection planes, maintains the periodicity of the structure while avoiding dense overlapping of projection areas. This facilitates more uniform mesh density and more efficient mesh generation in simulation modeling, improving simulation efficiency and accuracy.

[0059] The following example demonstrates simulation results achieved using the method of the invention with a weaving density of 0.68. Please refer to [link / reference]. Figure 7 : When the weaving density is 0.68, it means that the metal coverage area accounts for 68% of the total area, and the corresponding porosity is 32%. For a coaxial cable with a dielectric layer thickness of 0.5 mm and a characteristic impedance of 50 Ω, based on electromagnetic shielding theory, the shielding effectiveness (S) can generally be expressed as: in: : Reflection loss (related to intrinsic conductivity). Absorption loss (related to frequency and thickness). : Multiple reflection correction factor.

[0060] For a weave density of 68%, the effective conductivity is: in This represents the intrinsic conductivity of pure copper, approximately 5.8 × 10⁻⁶. 7 S / m (Siemens meter) This represents a frequency-dependent correction factor, usually obtained from an empirical formula. It typically decreases gradually with increasing frequency, reflecting the skin effect and the influence of porosity on the current path at high frequencies. This can be verified by substituting this into the shielding effectiveness formula.

[0061] Taking the 3GHz frequency as an example, the shielding effectiveness calculated above is approximately -27 to -30 dB, which is basically consistent with the data trend in the chart. At the same time, the simulation results also reflect the pattern that the shielding effectiveness gradually decreases as the frequency increases, which is consistent with the characteristic that the performance of electromagnetic shielding materials generally degrades at high frequencies. It should be noted that the shielding effectiveness decibel value is negative; the larger the negative value, the worse the shielding effectiveness. For example, a shielding effectiveness of -30 dB is better than -24 dB.

[0062] The following example demonstrates simulation results achieved using the invention's method with a weaving density of 0.96. Please refer to [link / reference]. Figure 8 : When the braiding density is 0.96, it indicates that the metal coverage area accounts for 96% of the total area, and the corresponding porosity is 4%. The dielectric layer thickness is 0.2 mm, and the coaxial cable has a characteristic impedance of 50 Ω. Based on electromagnetic shielding theory, it can be concluded that when the braiding density reaches 0.96, the shielding effectiveness of the material remains basically stable at different frequencies. This trend is reflected in simulations. Figure 8 This is clearly reflected in the text.

[0063] Accordingly, please refer to Figure 9 A block diagram of a cable shielding effectiveness evaluation device provided in this application embodiment, the device comprising: The coaxial body determination unit 101 is used to construct the coaxial body of the cable to be simulated and analyzed; The pore element set determination unit 103 is used to construct pore elements for simulating the pores between single braided threads, and obtains the pore element set by distributing multiple pore elements around an axis; The shielding layer determining unit 105 is used to periodically place the pore unit set in the coaxial body based on the coaxial center axis of the coaxial body to obtain a shielding layer with periodic pores. The textile density determination unit 107 is used to simulate different weaving densities by adjusting the parameters of the pore unit to obtain evaluation results for a coaxial body containing a shielding layer.

[0064] In some optional embodiments, the pore element set determining unit 103 is as follows: Based on the bottom diagonal of the pore element as a reference, multiple pore elements placed at different angles are generated around the circumference of the reference to obtain a pore element set.

[0065] In some alternative implementations, the rotation angles at which the multiple pore elements are generated are equal.

[0066] In some alternative implementations, the length of the pore element is greater than the outer diameter of the coaxial body.

[0067] In some alternative implementations, the shielding layer determining unit 105 is as follows: The central axis of the coaxial body is determined as the reference. A set of pore elements is periodically placed horizontally along the length of a reference, with the center point of the set of pore elements located on the reference.

[0068] In some alternative implementations, the shielding layer determining unit 105 is as follows: The projections of the horizontally placed sets of odd-numbered and even-numbered pore units are staggered.

[0069] In some alternative implementations, the shielding layer determining unit 105 is as follows: The projections of sets of pore units in odd-numbered sequences coincide; The projections of even-numbered sequences of pore units overlap. The projections of the pore unit set of the odd-numbered sequence are offset from those of the pore unit set of the even-numbered sequence.

[0070] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0071] In this embodiment, a vehicle drift control device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above-mentioned functions.

[0072] Please see Figure 10 , Figure 10 This application provides a schematic diagram of the structure of a computer device, as shown in the embodiment of the present application. Figure 10 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 10 Take a processor 10 as an example.

[0073] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GPA), or any combination thereof.

[0074] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0075] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0076] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0077] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0078] This application also provides a computer-readable storage medium. The methods described in this application can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code downloaded over a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and subsequently stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the methods shown in the above embodiments are implemented.

[0079] The apparatus and units described in the above embodiments can be implemented by a computer chip or physical entity, or by a product with a certain function. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or any combination of these devices.

[0080] For ease of description, the above devices are described separately by function as various units. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware.

[0081] Those skilled in the art will understand that the embodiments of this application can be provided as methods or apparatus. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0082] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatuses, and devices according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0083] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0084] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0085] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0086] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0087] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

[0088] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for evaluating the shielding effectiveness of cables, characterized in that, The method includes: Construct a coaxial structure for the cable to be simulated and analyzed; A pore unit is constructed to simulate the porosity between individual braided threads, and a pore unit set is obtained by distributing multiple pore units around an axis; Based on the coaxial central axis of the coaxial body, the pore unit assembly is periodically placed in the coaxial body to obtain a shielding layer with periodic pores. By adjusting the parameters of the pore units to simulate different weaving densities, a coaxial body containing the shielding layer is simulated to obtain evaluation results.

2. The method according to claim 1, characterized in that, The method of obtaining a pore unit set by distributing multiple pore units around an axis includes: Based on the bottom diagonal of the pore unit as the axis of rotation, multiple pore units placed at different angles are generated around the circumference of the axis of rotation to obtain a pore unit set.

3. The method according to claim 2, characterized in that, The rotation angles at which the gaps are generated between multiple pore units are equal.

4. The method according to claim 1, characterized in that, The height of the pore unit is greater than the outer diameter of the coaxial body.

5. The method according to claim 1, characterized in that, The step of periodically arranging the pore unit array on the coaxial body includes: The central axis of the coaxial body is determined as the reference. The pore element set is periodically placed horizontally along the length direction of the reference, wherein the center point of the pore element set is located on the reference.

6. The method according to claim 5, characterized in that, The periodically horizontally placed pore unit set includes: The projections of the horizontally placed odd-numbered sequence and the even-numbered sequence of pore units are staggered.

7. The method according to claim 6, characterized in that, include: The odd-numbered sequence of pore units overlaps in projection. The even-numbered sequence of pore units overlaps in projection. The projections of the set of pore units in the odd-numbered sequence and the set of pore units in the even-numbered sequence are staggered.

8. An evaluation device for cable shielding effectiveness, the device comprising: The coaxial body determination unit is used to construct the coaxial body of the cable to be simulated and analyzed; A pore element set determination unit is used to construct pore elements for simulating the pores between individual braided threads, and a pore element set is obtained by distributing multiple pore elements around an axis; A shielding layer determining unit is used to periodically place the pore unit set in the coaxial body based on the coaxial central axis of the coaxial body to obtain a shielding layer with periodic pores. A textile density determination unit is used to simulate different weaving densities by adjusting the parameters of the pore unit to simulate a coaxial body containing the shielding layer and obtain evaluation results.

9. A computer device, characterized in that, include: A memory and a processor are communicatively connected, the memory storing computer instructions, and the processor executing the computer instructions to perform the cable shielding effectiveness evaluation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing a computer to perform the cable shielding effectiveness evaluation method according to any one of claims 1 to 7.

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