Parameter optimization method of magnetic shielding layer and related equipment

Abstract

The invention provides a parameter optimization method of a magnetic shielding layer and related equipment. The method comprises the steps of determining a first geometric model of a magnetic shielding layer based on geometric parameters of a target object and spatial constraints of a target environment where the target object is located on the target object; wherein the magnetic shielding layer is used for reducing interference of a magnetic field of the target environment on the target object, and the first geometric model comprises a first relative position of the magnetic shielding layer and the target object; partitioning the first geometric model based on the magnetic field distribution of the target environment to obtain a plurality of local magnetic shielding regions; based on the magnetic shielding requirement of the target object at the first relative position, determining a target local parameter of each local magnetic shielding area so as to minimize the mass of the magnetic shielding layer; wherein the target local parameter comprises at least one of the number of local magnetic shielding layers in the local magnetic shielding area, the size of each local magnetic shielding layer and the shielding material of each local magnetic shielding layer.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of magnetic shielding layer, and particularly relates to a parameter optimization method of a magnetic shielding layer and a related device. BACKGROUND

[0002] The magnetic shielding layer design in the prior art usually adopts the same shielding structure as a whole, such as the same shielding material. However, in actual application, due to irregular magnetic field distribution, the adoption of the same shielding structure as a whole may lead to uneven magnetic shielding effect, affect the overall electromagnetic compatibility, and is not conducive to reducing weight, volume, etc. In addition, the parameter design of the magnetic shielding layer relies on manual intervention, resulting in low efficiency. SUMMARY

[0003] The present disclosure provides a parameter optimization method of a magnetic shielding layer and a related device, which at least partially solves the technical problems of uneven magnetic shielding effect, large weight, and low design efficiency of the magnetic shielding layer in the related art.

[0004] In a first aspect, the present disclosure provides a parameter optimization method of a magnetic shielding layer, comprising:

[0005] determining a first geometric model of the magnetic shielding layer based on a geometric parameter of a target object and a spatial constraint of the target object in a target environment; wherein the magnetic shielding layer is used to reduce the interference of the magnetic field of the target environment on the target object, and the first geometric model comprises a first relative position of the magnetic shielding layer and the target object;

[0006] partitioning the first geometric model based on the magnetic field distribution of the target environment to obtain a plurality of local magnetic shielding regions;

[0007] determining a target local parameter of each of the local magnetic shielding regions based on the magnetic shielding requirement of the target object at the first relative position, so as to minimize the mass of the magnetic shielding layer; wherein the target local parameter comprises at least one of the number of layers of the local magnetic shielding layer, the size of each layer of the local magnetic shielding layer, and the shielding material of each layer of the local magnetic shielding layer.

[0008] In a second aspect, the present disclosure provides a parameter optimization device of a magnetic shielding layer, comprising:

[0009] a geometric model module configured to determine a first geometric model of the magnetic shielding layer based on a geometric parameter of a target object and a spatial constraint of the target object in a target environment; wherein the magnetic shielding layer is used to reduce the interference of the magnetic field of the target environment on the target object, and the first geometric model comprises a first relative position of the magnetic shielding layer and the target object;

[0010] a partitioning module, configured to partition the first geometric model based on a magnetic field distribution of the target environment to obtain a plurality of local magnetic shielding regions;

[0011] a parameter optimization module, configured to determine a target local parameter of each of the local magnetic shielding regions based on a magnetic shielding requirement of the target object at the first relative position, so as to minimize a quality of the magnetic shielding layer; wherein the target local parameter comprises at least one of a layer number of a local magnetic shielding layer in the local magnetic shielding region, a size of each layer of the local magnetic shielding layer, and a shielding material of each layer of the local magnetic shielding layer.

[0012] In a third aspect, the present disclosure provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor executes the program to implement the method of the first aspect.

[0013] In a fourth aspect, the present disclosure provides a non-transitory computer readable storage medium, which stores computer instructions for causing the computer to execute the method of the first aspect.

[0014] In a fifth aspect, the present disclosure provides a computer program product, which comprises computer program instructions, and when the computer program instructions run on a computer, the computer executes the method of the first aspect.

[0015] As can be seen from the above, the parameter optimization method of the magnetic shielding layer and the related device provided by the present disclosure comprehensively consider the geometric parameters of the target object and the spatial constraints of the environment where the target object is located, determine a first geometric model of the magnetic shielding layer, and determine the relative position of the magnetic shielding layer and the target object. According to the magnetic field distribution characteristics of the target environment, the first geometric model is subdivided into a plurality of local magnetic shielding regions to realize more refined shielding design. Based on the specific magnetic shielding requirements of the target object in each local region, the number of layers, the size, and the shielding material selection of each local magnetic shielding region are optimized to ensure that the magnetic shielding efficiency is met while minimizing the quality of the magnetic shielding layer. The shielding effect and lightweight of the magnetic shielding layer are effectively balanced, the shielding effect is ensured while reducing the weight of the magnetic shielding layer, and the labor cost is also reduced, improving the efficiency of parameter optimization. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present disclosure or the related art, the following will briefly introduce the drawings needed to be used in the embodiments or the related art descriptions. Obviously, the drawings in the following description are only embodiments of the present disclosure, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0017] Figure 1 A schematic diagram of a parameter optimization architecture for a magnetic shielding layer of an embodiment of the present disclosure.

[0018] Figure 2 A schematic diagram of a hardware structure of an exemplary electronic device of an embodiment of the present disclosure.

[0019] Figure 3 A schematic diagram of a parameter optimization method for a magnetic shielding layer of an embodiment of the present disclosure.

[0020] Figure 4 A schematic diagram of a magnetic shielding layer adaptive adjustment method of an embodiment of the present disclosure.

[0021] Figure 5 A schematic diagram of a magnetic shielding layer adaptive adjustment method of an embodiment of the present disclosure.

[0022] Figure 6 A schematic diagram of a magnetic shielding layer adaptive adjustment method of a magnetic shielding layer of an embodiment of the present disclosure.

[0023] Figure 7 A schematic diagram of a magnetic shielding layer of an embodiment of the present disclosure.

[0024] Figure 8 A schematic diagram of a parameter optimization device for a magnetic shielding layer of an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] In order to make the objects, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below with reference to specific embodiments and drawings.

[0026] It should be noted that, unless otherwise defined, technical terms or scientific terms used in the embodiments of the present disclosure should be understood as their common meanings to those skilled in the art to which the present disclosure pertains. The terms “first”, “second” and similar terms used in the embodiments of the present disclosure do not represent any order, number or importance, but are only used to distinguish different components. The terms “include”, “contain” and similar terms mean that the elements or objects before the terms encompass the elements or objects listed after the terms and their equivalents, without excluding other elements or objects. The terms “connect” or “connected” and similar terms do not mean only physical or mechanical connections, but can include electrical connections, whether direct or indirect. The terms “upper”, “lower”, “left”, “right” and the like only represent relative positional relationships, and when the absolute positions of the described objects are changed, the relative positional relationships can also be changed accordingly.

[0027] It can be understood that, before using the technical solutions disclosed in the embodiments of the present disclosure, the type, use range, use scenario, etc. of the personal information involved in the present disclosure should be informed to the user and the authorization of the user should be obtained through appropriate means according to relevant laws and regulations. For example, when responding to the active request of the user, a prompt information is sent to the user to explicitly prompt the user that the operation requested to be performed will need to obtain and use the personal information of the user. Thus, the user can voluntarily choose whether to provide the personal information to the electronic device, application program, server or storage medium, etc. software or hardware that performs the operation of the technical solutions of the present disclosure according to the prompt information.

[0028] It can be understood that the above notification and user authorization process is only illustrative and does not limit the implementation of the present disclosure. Other ways that meet the relevant laws and regulations can also be applied to the implementation of the present disclosure.

[0029] Figure 1 A schematic diagram of a parameter optimization architecture of a magnetic shielding layer of an embodiment of the present disclosure is shown. Referring to Figure 1 The parameter optimization architecture 100 of the magnetic shielding layer can include a server 110, a terminal 120, and a network 130 providing a communication link. The server 110 and the terminal 120 can be connected through the wired or wireless network 130. The server 110 can be a stand-alone physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, security services, CDN, and other basic cloud computing services.

[0030] The terminal 120 can be implemented in hardware or software. For example, when the terminal 120 is implemented in hardware, it can be various electronic devices with a display screen and supporting page display, including but not limited to smart phones, tablet computers, e-book readers, laptop computers, and desktop computers, etc. When the terminal 120 is implemented in software, it can be installed in the above-mentioned electronic devices; it can be implemented as multiple software or software modules (such as software or software modules for providing distributed services), or as a single software or software module, which is not specifically limited here.

[0031] It should be noted that the parameter optimization method of the magnetic shielding layer provided by the embodiments of the present disclosure can be executed by the terminal 120 or the server 110. It should be understood that Figure 1 The number of terminals, networks and servers in

[0032] Figure 2A hardware structure schematic diagram of an example electronic device 200 is shown. As Figure 2 shown, the electronic device 200 can include a processor 202, a memory 204, a network module 206, a peripheral interface 208, and a bus 210. Among them, the processor 202, the memory 204, the network module 206, and the peripheral interface 208 are connected to each other through the bus 210 for internal communication connection in the electronic device 200.

[0033] The processor 202 can be a central processing unit (CPU), a neural network processor (NPU), a microcontroller (MCU), a programmable logic device, a digital signal processor (DSP), an application specific integrated circuit (ASIC), or one or more integrated circuits. The processor 202 can be used to perform functions related to the technology described in the present disclosure. In some embodiments, the processor 202 can also include multiple processors integrated as a single logic component. For example, as Figure 2 shown, the processor 202 can include multiple processors 202a, 202b, and 202c.

[0034] The memory 204 can be configured to store data (e.g., instructions, computer code, etc.). As Figure 2 shown, the memory 204 stores data can include program instructions (e.g., program instructions for implementing the parameter optimization method of the magnetic shielding layer of the embodiments of the present disclosure) and data to be processed (e.g., the memory can store configuration files of other modules, etc.). The processor 202 can also access the program instructions and data stored in the memory 204, and execute the program instructions to operate on the data to be processed. The memory 204 can include volatile storage devices or non-volatile storage devices. In some embodiments, the memory 204 can include random access memory (RAM), read-only memory (ROM), optical disks, magnetic disks, hard disks, solid-state disks (SSD), flash memory, memory sticks, etc.

[0035] The network module 206 can be configured to provide communication with other external devices to the electronic device 200 via a network. The network can be any wired or wireless network capable of transmitting and receiving data. For example, the network can be a wired network, a local wireless network (e.g., Bluetooth, WiFi, near field communication (NFC), etc.), a cellular network, the Internet, or a combination of the above. It can be understood that the type of network is not limited to the above specific examples. In some embodiments, the network module 206 can include any combination of any number of network interface controllers (NICs), radio frequency modules, transceivers, modems, routers, gateways, adapters, cellular network chips, etc.

[0036] The peripheral interface 208 can be configured to connect the electronic device 200 with one or more peripheral devices to achieve information input and output. For example, the peripheral devices can include input devices such as keyboards, mice, touchpads, touch screens, microphones, various sensors, and the like, and output devices such as displays, speakers, vibrators, indicator lights, and the like.

[0037] The bus 210 can be configured to transmit information between various components (e.g., the processor 202, the memory 204, the network module 206, and the peripheral interface 208) of the electronic device 200, such as an internal bus (e.g., a processor-memory bus), an external bus (a USB port, a PCI-E bus), and the like.

[0038] It should be noted that although the architecture of the electronic device 200 described above only shows the processor 202, the memory 204, the network module 206, the peripheral interface 208, and the bus 210, in the specific implementation process, the architecture of the electronic device 200 can also include other components necessary for normal execution. In addition, those skilled in the art can understand that the architecture of the electronic device 200 described above can also only contain components necessary for implementing the embodiments of the present disclosure, and does not have to contain all the components shown in the figure.

[0039] In today's society, with the rapid development of technology, the complexity of electromagnetic environment is increasing, especially in the fields of rail transportation, medical equipment and aerospace, which have become an important part of modern social development. In the field of rail transportation, high-speed rail and urban rail transit have become an indispensable part of urbanization. During high-speed operation, a large number of electronic devices are used, which will generate strong electromagnetic fields during operation, which may have adverse effects on other electronic devices and passengers inside the train. Therefore, how to effectively shield these electromagnetic interferences and ensure the normal operation of electronic devices inside the train and the safety of passengers has become an important problem to be solved in the field of rail transportation. In the field of medical equipment, modern medical devices widely rely on precise electronic technology, such as magnetic resonance imaging (MRI) and radiotherapy equipment. However, these devices will generate strong magnetic fields when working, which may interfere with or harm sensitive electronic devices and operators in the surrounding area. At the same time, some patients use implantable medical devices (such as pacemakers or cochlear implants) that also need appropriate shielding protection in a strong magnetic field environment. In the field of aerospace, satellites, spacecraft and aircraft use a large number of high-precision electronic devices, and the strong magnetic field in the space environment and inside the aircraft may have adverse effects on these devices. In addition, when unmanned aerial vehicles and military equipment operate in complex environments, they also need to shield strong magnetic field interference to ensure device performance. Therefore, the demand for lightweight and high-performance electromagnetic shielding technology is proposed. However, the design of the magnetic shielding layer in related technologies usually uses the same shielding structure as a whole, such as using the same shielding material. However, due to the irregular distribution of the magnetic field in practical applications, the use of the same shielding structure as a whole may result in uneven magnetic shielding effect, affecting the overall electromagnetic compatibility, and is not conducive to reducing weight, volume, etc. In addition, the parameter design of the magnetic shielding layer relies on manual intervention, resulting in low efficiency. Therefore, how to balance the shielding effect of the magnetic shielding layer and the lightweight, ensure the shielding effect while reducing the weight of the magnetic shielding layer, and also reduce labor costs, improve the efficiency of parameter optimization, etc. has become a technical problem to be solved.

[0040] In view of this, the embodiments of the present disclosure provide a parameter optimization method of a magnetic shielding layer and related equipment. By comprehensively considering the geometric parameters of a target object and the spatial constraints of the environment in which the target object is located, a first geometric model of the magnetic shielding layer is determined, and the relative position of the magnetic shielding layer and the target object is determined. According to the magnetic field distribution characteristics of the target environment, the first geometric model is subdivided into a plurality of local magnetic shielding regions to achieve more refined shielding design. Based on the specific magnetic shielding requirements of the target object in each local region, by optimizing the parameters such as the number of layers, size, and shielding material selection of each local magnetic shielding region, the mass of the magnetic shielding layer is minimized while the magnetic shielding effectiveness is ensured. The shielding effect and lightweight of the magnetic shielding layer are effectively balanced, the shielding effect is ensured while the weight of the magnetic shielding layer is reduced, and the labor cost can also be reduced, improving the efficiency of parameter optimization.

[0041] Referring to Figure 3 , Figure 3 A schematic flowchart of a parameter optimization method of a magnetic shielding layer according to an embodiment of the present disclosure is shown. The parameter optimization method of the magnetic shielding layer according to the embodiments of the present disclosure can be deployed on a server side or a terminal. Figure 3 In the parameter optimization method of the magnetic shielding layer 300, the parameter optimization method of the magnetic shielding layer 300 can further include the following steps.

[0042] In step S310, a first geometric model of the magnetic shielding layer is determined based on the geometric parameters of a target object and the spatial constraints of a target environment in which the target object is located. The magnetic shielding layer is used to reduce the interference of the magnetic field of the target environment on the target object, and the first geometric model includes a first relative position of the magnetic shielding layer and the target object.

[0043] The target object can refer to a subject that needs to be magnetically shielded, and can be any device, element or system that is sensitive to a magnetic field or needs to reduce external magnetic field interference. The geometric parameters of the target object can refer to the size, shape and other physical characteristics of the target object in space. The target environment can refer to the external environment in which the target object is located, which can include a magnetic field that affects the target object. The spatial constraints can refer to the limitation conditions of the target environment on the spatial arrangement of the target object and its magnetic shielding layer, such as space size, shape, obstacles, etc. The magnetic shielding layer can refer to a structure or material layer used to reduce or eliminate the interference of an external magnetic field on a target object. The first geometric model can be a preliminary model or layout scheme designed for the magnetic shielding layer according to the geometric parameters of the target object and the spatial constraints of the target environment, which includes the relative position relationship between the magnetic shielding layer and the target object.

[0044] By analyzing the geometric parameters (such as size, shape) of the target object, its basic requirements for the design of the magnetic shielding layer can be understood. Considering the spatial constraints of the target environment on the arrangement of the magnetic shielding layer (such as the size of the available space, shape restrictions, obstacle positions, etc.), as well as the strength and direction of the magnetic field in the target environment. Based on this information, using electromagnetic simulation software or manual calculation, the first geometric model of the magnetic shielding layer can be obtained. The first geometric model not only considers the shape and size of the magnetic shielding layer, but also considers the relative position between the magnetic shielding layer and the target object to ensure the best shielding effect. For example, the target object is a precise electronic measuring instrument that is very sensitive to external magnetic fields, and any slight change in the magnetic field may affect its measurement accuracy. The target environment is a laboratory full of various electromagnetic devices that generate magnetic fields that may interfere with the target object. The specific shape, size, and possible magnetic field sensitive areas of the target object can be determined first, and the strength, direction, and distribution of the magnetic field in the target environment, as well as the spatial constraints of the target environment on the target object, will affect the size, shape, and position of the magnetic shielding layer. By considering the geometric parameters of the target object, the magnetic field characteristics and spatial constraints of the target environment, the first geometric model of the magnetic shielding layer can be determined to ensure that it can effectively reduce magnetic field interference and meet the needs of the target object.

[0045] In some embodiments, determining the first geometric model of the magnetic shielding layer based on the geometric parameters of the target object and the spatial constraints of the target environment on the target object includes:

[0046] Determining an initial geometric model of the magnetic shielding layer based on the geometric parameters of the target object; the initial geometric model includes an initial global size of the magnetic shielding layer and an initial relative position of the magnetic shielding layer and the target object;

[0047] Adjusting the initial global size and the initial relative position based on the spatial constraints to obtain the first geometric model.

[0048] The initial geometric model can refer to a model of the magnetic shielding layer based on the geometric parameters of the target object, including global dimensions (such as length, width, height) and relative positions (such as distance, direction) to the target object. The first geometric model can be a magnetic shielding layer geometric model after adjusting the initial geometric model to meet the target environmental space constraints. Specifically, according to the geometric parameters (such as shape, size) of the target object, an initial geometric model of the magnetic shielding layer is designed. The initial geometric model can be a shell or layer surrounding the target object, which closely matches the size and shape of the target object to ensure effective shielding effect. The initial geometric model is placed in the target environment, considering the spatial constraints in the environment (such as space size, shape restriction, obstacle position, etc.). These constraints may require adjusting the global dimensions of the magnetic shielding layer or its relative position to the target object to ensure that the magnetic shielding layer can be correctly installed and deployed in the actual environment. The initial geometric model can be adjusted and optimized according to the spatial constraints, including modifying global dimensions, adjusting relative positions, or changing shapes, etc., until the first geometric model that meets all constraint conditions is obtained. By precisely matching the geometric parameters of the target object and considering the spatial constraints of the target environment, a more suitable and efficient magnetic shielding layer can be designed, thereby improving the shielding effect and reducing the interference of external magnetic fields on the target object.

[0049] In step S320, the first geometric model is partitioned based on the magnetic field distribution of the target environment, obtaining a plurality of local magnetic shielding regions.

[0050] The magnetic field distribution can describe the distribution of magnetic field strength, direction, etc. in the target environment. According to the magnetic field distribution of the target environment, the first geometric model is divided into a plurality of local magnetic shielding regions, each region can use different shielding strategies or materials. The local magnetic shielding region can refer to a sub-region divided in the first geometric model, which may need different shielding treatment due to the non-uniformity of the magnetic field distribution in the target environment or the difference in the sensitivity of the target object to the magnetic field. Specifically, magnetic field simulation or measurement data can be used to analyze the variation and intensity distribution of the magnetic field in the target environment. By identifying regions with high magnetic field strength or large variation, as well as parts of the target object that are particularly sensitive to the magnetic field, the first geometric model can be divided into a plurality of local magnetic shielding regions. Each region can be designed with different shielding strategies according to its magnetic field distribution characteristics and shielding requirements, such as using different thicknesses of shielding materials, using different shielding structures, or arranging additional shielding layers.

[0051] It can be seen that through the partition design, the characteristics of each local magnetic shielding area can be accurately shielded, thereby improving the overall shielding efficiency and reducing unnecessary use of shielding materials. For complex and variable magnetic field environments, partition design can more flexibly cope with the shielding needs of different areas, improving the adaptability of the design. Through accurate magnetic field simulation and measurement, the areas that need to be shielded can be more accurately identified, thereby improving the accuracy and reliability of the design. Partition design makes it easier to maintain and upgrade the magnetic shielding layer, as specific areas can be replaced or upgraded without the need to modify the entire magnetic shielding layer.

[0052] In some embodiments, the first geometric model is partitioned based on the magnetic field distribution to obtain a plurality of local magnetic shielding areas, including:

[0053] Based on the magnetic field distribution, the parameter value of the associated parameter on the first geometric model is determined, and the associated parameter is associated with the magnetic field distribution;

[0054] Based on the parameter value, the first geometric model is divided into a plurality of local magnetic shielding areas.

[0055] The associated parameter can refer to a parameter that has a direct or indirect relationship with the magnetic field distribution, for example, including magnetic density, magnetic field strength, rate of change of magnetic field direction, uniformity or non-uniformity of the magnetic field, etc. The principle of partitioning can be based on the threshold value of the parameter, the gradient change of the parameter, or the spatial distribution characteristics of the parameter. For example, if the magnetic field strength changes little in a certain area, this area can be divided into a local magnetic shielding area. The first geometric model is divided into a plurality of local areas, and the magnetic shielding effect required by each local area can be accurately controlled.

[0056] Specifically, different regions of the magnetic shielding layer can be finely divided in a parameterized manner, the number of region divisions can be freely adjusted according to requirements, and the model division result can be parameterized, that is, the individual geometric structures after division are given parameterized length, width, and thickness, which are used for subsequent adaptive optimization simulation. Since the relative positions of the magnetic field source of the external environment and the magnetic shielding layer are fixed, the parameter sensitivity of different regions can be determined based on the relative distance from the magnetic flux density maximum (for example, the magnetic flux density maximum of different regions inside the magnetic shielding layer). According to the size of the sensitivity, the parameters of each local magnetic shielding region are sequentially determined, so that under the condition of meeting the magnetic flux density size requirement, the influence of the sensitive reduction region on the weight is weakened, and the efficiency of parameter optimization is improved. For example, based on the electromagnetic field analysis software, the construction, modification, and parameterization of the 3D model can be directly performed in the software. The input can be modification of parameters, copying, pasting, moving, Boolean operation, and the like of geometric objects (more efficient through code batch processing), and the output is the software executing the corresponding instructions on the model. The electromagnetic field analysis software can support API interface calling, and by installing a script tool kit (PyAEDT), the compiler software is connected to the project in the electromagnetic field analysis software, realizing the calling and batch processing of the content in the project using a programming language. Other methods that meet the API interface requirements can also be used. By using the code reading and sending instruction method, the geometric model in the electromagnetic field analysis software is finely divided, and the region is divided into enough sub-modules. After the division is completed, different variable names are given to the geometric parameters of different modules, and according to the geometric space limitation, the variation range of the parameters is determined, the maximum magnetic flux density (B_Max) of the magnetic shielding layer is solved, and after the result is read, the parameter identification is performed by using the algorithm iterative calculation method, and finally a set of parameter values that meet the conditions are obtained. Figure 4 Figure 4 A magnetic shielding layer adaptive adjustment method principle diagram according to an embodiment of the present disclosure is shown.

[0057] In some embodiments, dividing the first geometric model into a plurality of local magnetic shielding regions based on the parameter values comprises:

[0058] Dividing the first geometric model into a plurality of local magnetic shielding regions based on at least one preset range of the parameter values, and the parameter values in each local magnetic shielding region are in the same preset range.

[0059] ​The preset range based on the parameter value is no longer only dependent on the absolute size or change of the parameter value, but introduces the preset range as the basis for division. The preset range can be determined in advance according to factors such as actual application requirements, characteristics of the magnetic field distribution, and characteristics of the geometric model. According to the preset range of the parameter value, I can divide the first geometric model into multiple local regions. The parameter values within each local region are within the same preset range, which means that these regions have certain similarities in the characteristics of the magnetic field distribution, for example, have similar magnetic shielding effects. In this way, each local magnetic shielding region can be uniformly processed or designed to meet specific application requirements.

[0060] Specifically, in addition to the region division based on the magnetic field sensitivity, dynamic partitioning can be performed in combination with the heat map or clustering analysis of the electromagnetic field distribution.

[0061] In some embodiments, dividing the first geometric model into multiple local magnetic shielding regions based on the parameter values includes:

[0062] Clustering the parameter values to obtain multiple clustering categories;

[0063] Determining the connected regions in the first geometric model in which the parameter values belong to the same clustering category as the local magnetic shielding regions.

[0064] Among them, clustering is an unsupervised learning method used to divide a dataset into multiple categories, so that data points within the same category are similar to each other, while data points between different categories are quite different. The parameter values (which are associated with the magnetic field distribution) can be taken as input data, and a clustering algorithm (such as K-means, DBSCAN, etc.) can be applied for clustering. The result of clustering is to divide the parameter values into multiple cluster categories, and the parameter values within each category have some similarity. After obtaining the clustering result, these cluster categories can be mapped back to the first geometric model. For example, check each point or region on the first geometric model to determine which cluster category its parameter value belongs to. The regions that belong to the same cluster category and are geometrically connected are divided into a local magnetic shielding region. Here, "connected" means that these regions are continuous in geometry without breaks or intervals. Since the parameter values within the local magnetic shielding region belong to the same cluster category, these regions have similarity in magnetic field distribution characteristics. The clustering method can automatically divide the first geometric model into multiple local magnetic shielding regions according to the similarity of parameter values, without the need to define explicit boundaries or rules in advance. This makes the division process more flexible and adaptive, and can adapt to different magnetic field distribution characteristics and geometric model shapes. Specifically, the choice of clustering algorithm depends on the characteristics of the parameter values, the complexity of the geometric model, and the availability of computing resources. For example, the K-means algorithm is suitable for cases where the parameter values are Gaussian distributed, while the DBSCAN algorithm is more robust to noise and outliers.

[0065] In some embodiments, the local magnetic shielding regions can have regular shapes. Among them, the regular shape can be a polygon, such as a triangle, a rectangle, a square, etc. Specifically, when dividing the first geometric model into multiple local magnetic shielding regions based on parameter values, a regular shape constraint can be combined to make each local magnetic shielding region as close to a regular shape as possible through algorithms (such as least squares, genetic algorithms, etc.) or manual adjustment, so as to obtain multiple local magnetic shielding regions with (or close to) regular shapes and meet the magnetic shielding requirements. It can be seen that by introducing a regular shape constraint, the boundaries of the local magnetic shielding regions can be made more explicit and predictable. This helps to reduce the leakage and interference of the magnetic field, thereby improving the magnetic shielding effect. At the same time, it also makes the design and optimization process of the local magnetic shielding region simpler and more intuitive, and it is easier to understand and adjust the shape and position of the magnetic shielding region to meet specific magnetic shielding requirements. More efficient algorithms and tools can also be used to calculate and analyze the magnetic shielding effect, improving the efficiency and accuracy of the calculation, thereby speeding up the process of magnetic shielding design and optimization.

[0066] In some embodiments, the local magnetic shielding regions are detachable. In some embodiments, adjacent local magnetic shielding regions are connected by mechanical connection, adhesive connection or physical fitting.

[0067] Among them, various connection methods can be adopted, including mechanical connection, adhesive connection or physical fitting. Mechanical connection is to fix adjacent local magnetic shielding areas together by using fasteners such as bolts, nuts, rivets, etc. For example, holes can be punched on adjacent local magnetic shielding areas, and then they are connected by using bolts and nuts. This way is convenient for disassembly and reassembly, easy for maintenance and replacement. Adhesive connection is to bond adjacent local magnetic shielding areas together by using adhesives such as epoxy, glue, etc. For example, adhesives can be applied on the contact surfaces of adjacent local magnetic shielding areas, and then they are tightly attached together. After the adhesives solidify, adjacent local magnetic shielding areas form a whole. Physical fitting is to design specific shapes and structures so that adjacent local magnetic shielding areas can be nested or embedded together. For example, complementary notches or protrusions can be designed on adjacent local magnetic shielding areas so that they can be fitted together. This way does not require additional fasteners or adhesives, and has the advantages of simple structure and firm connection.

[0068] By connecting adjacent local magnetic shielding areas together in the ways of mechanical connection, adhesive connection or physical fitting, a whole structure can be formed, thereby improving the overall stability of the magnetic shielding layer. The tightness of the connection between adjacent local magnetic shielding areas directly affects the magnetic shielding effect. By using the above connection methods, the gap between adjacent areas can be minimized, thereby reducing the leakage and interference of the magnetic field and enhancing the magnetic shielding effect. Mechanical connection, adhesive connection and physical fitting are all convenient for disassembly and reassembly, which makes the manufacturing and maintenance process of the magnetic shielding layer simpler and more convenient. Different connection methods are suitable for different application scenarios and needs. For example, mechanical connection is suitable for occasions that need to be frequently disassembled and replaced; adhesive connection is suitable for occasions that require high connection strength; physical fitting is suitable for occasions with simple structure and high connection strength requirements. Therefore, using multiple connection methods can improve the adaptability and flexibility of the magnetic shielding layer. In summary, connecting adjacent local magnetic shielding areas in the ways of mechanical connection, adhesive connection or physical fitting, etc. can significantly improve the overall stability of the magnetic shielding layer, enhance the magnetic shielding effect, facilitate manufacturing and maintenance, and improve adaptability and flexibility.

[0069] In step S330, based on the magnetic shielding requirement of the target object at the first relative position, the target local parameter of each local magnetic shielding area is determined to minimize the quality of the magnetic shielding layer. Among them, the target local parameter includes at least one of the size of the local magnetic shielding area, the number of layers of the local magnetic shielding layer in the local magnetic shielding area, the shielding material of each layer of the local magnetic shielding layer, and the material thickness of each layer of the shielding material.

[0070] The target object can have certain shielding requirements for the magnetic field due to its functional or performance requirements at a certain location (first relative position), such as attenuation of magnetic field strength, change of magnetic field direction, or improvement of magnetic field uniformity, etc. The target local parameters of the local magnetic shielding region can include the size (such as length, width) of the local magnetic shielding region, the number of shielding layers in the local magnetic shielding layer, the type and thickness of each layer of shielding material, etc. Under the premise of meeting the magnetic shielding requirements of the target object, minimizing the quality can involve reducing the amount of shielding material used, using lighter shielding materials, or optimizing the structure of the shielding layer, etc. This not only helps to reduce costs, but also can improve the overall performance and reliability of the target object.

[0071] Specifically, determining the target local parameters can be based on multi-objective optimization, simulation analysis, etc., using magnetic field simulation software to predict the shielding effect under different parameter combinations, and finding the parameter combination that meets the requirements and has the minimum quality through iterative optimization. Through reasonable parameter setting and optimization strategy, a magnetic shielding layer design that meets the requirements and has the minimum quality can be obtained.

[0072] In some embodiments, the shielding material includes amorphous alloy, permalloy, silicon steel sheet, or industrial pure iron. In some embodiments, the number of layers of the local magnetic shielding layer includes a single layer or multiple layers.

[0073] In some embodiments, based on the magnetic shielding requirements of the target object at the first relative position, determining the target local parameters of each local magnetic shielding region to minimize the quality of the magnetic shielding layer includes:

[0074] determining the associated parameter constraints of the associated parameters of each local magnetic shielding region based on the magnetic shielding requirements;

[0075] determining a candidate structure combination of the local magnetic shielding regions that meets the associated parameter constraints, the candidate structure combination including a combination of the number of layers of the local magnetic shielding layer, the shielding material of each layer, and the thickness of each layer of material in the local magnetic shielding region;

[0076] determining the local quality of the local magnetic shielding region corresponding to the candidate structure combination based on the size of the local magnetic shielding region;

[0077] determining the number of layers of the local magnetic shielding layer, the shielding material of each layer, and the thickness of each layer of material, and the size of the local magnetic shielding region corresponding to the minimum value of the local quality as the target local parameters to minimize the quality of the magnetic shielding layer.

[0078] The determining of the associated parameter constraint condition can refer to determining the specific constraint condition of the associated parameter (such as the magnetic field attenuation amount, the magnetic field uniformity, etc.) directly related to the magnetic shielding requirement of the target object at the first relative position for each local magnetic shielding region. The candidate structure combination can refer to various possible combinations of the number of layers of the local magnetic shielding layer, the type of shielding material of each layer, and the thickness of each layer of material in the local magnetic shielding region. According to the associated parameter constraint condition, the candidate structure combination satisfying the condition is screened out. For each candidate structure combination, the corresponding local quality of the candidate structure combination can be calculated based on the size of the local magnetic shielding region. Among all the candidate structure combinations, the one with the minimum local quality can be selected as the optimal solution. The number of layers, the type of shielding material of each layer, the thickness of each layer of material, and the size of the local magnetic shielding region in the optimal solution are the target local parameters we are looking for, which make the quality of the magnetic shielding layer reach the minimum under the premise of meeting the magnetic shielding requirement.

[0079] The optimization process can be iterative. After initially determining the candidate structure combination, the shielding effect of the candidate structure combination can be verified through simulation or experiment. When the shielding effect of a certain candidate structure combination is not ideal, the associated parameter constraint condition can be adjusted or the candidate structure combination can be re-screened. Through multiple iterations, the optimal solution can be gradually approached. For example, a multi-objective optimization algorithm, a genetic algorithm, a particle swarm optimization (PSO), or a deep learning model can be used to solve the target local parameters.

[0080] In some embodiments, determining the candidate structure combination of the local magnetic shielding region satisfying the associated parameter constraint condition comprises:

[0081] The combination of the number of layers, the corresponding shielding material of each layer, and the material thickness of each layer of shielding material satisfying the associated parameter constraint condition is determined as the candidate structure combination by traversing the candidate shielding material.

[0082] According to the magnetic shielding performance indicators of different materials, amorphous alloy, permalloy, silicon steel sheet, and industrial pure iron can be selected as candidate materials, which have excellent performance in high-frequency and low-frequency magnetic field shielding. The magnetic shielding structure design can be based on the magnetic shielding characteristics of the selected materials to design various shielding structures, including single-layer and multi-layer composite structures, such as the influence of different material combinations, thickness, and arrangement on the shielding effect. In the design process, the actual working condition requirements of the device are considered, such as space limitation and weight limitation. For example, finite element analysis tools can be used to perform electromagnetic field simulation on the designed shielding structure to study the shielding effect of the shielding plate at different thicknesses, materials, and structures.

[0083] In some embodiments, determining the local quality of the local magnetic shielding region corresponding to the candidate structure combination based on the size of the local magnetic shielding region comprises:

[0084] determine a local layer quality of each of the local magnetic shielding layers based on the size, the shielding material corresponding to each layer, and a material thickness of the shielding material of each layer;

[0085] obtain the local quality based on a sum of the local layer qualities of all the local magnetic shielding layers.

[0086] Wherein, the size (such as length, width, height, or area, volume, etc.) of each local magnetic shielding layer, which is usually related to the size of the entire local magnetic shielding region, for example, the same. Different shielding materials have different densities and unit volume or area mass. By multiplying the size of each layer, the density of the shielding material, and the material thickness, we can calculate the local layer quality of each local magnetic shielding layer. The local magnetic shielding region may contain multiple shielding layers, each with its specific local layer quality. In order to obtain the local quality of the entire local magnetic shielding region, the local layer qualities of all the local magnetic shielding layers can be added. The goal of parameter optimization is to determine the candidate structure combination that minimizes the local quality while meeting the magnetic shielding requirements, for example, multiple iterations can be performed to adjust the number of layers, shielding materials, and material thickness to find the optimal solution.

[0087] Referring to Figure 5 , Figure 5 A flowchart of a magnetic shielding layer adaptive adjustment method according to an embodiment of the present disclosure is shown. Figure 5 In step S1, the magnetic shielding layer adaptive adjustment principle and the lightweight principle can be set. Specifically, the magnetic shielding layer adaptive adjustment principle can include fine division of the shielding layer in different regions, for example, first adjusting the geometric parameters of the region with strong model magnetic field sensitivity, and then adjusting the geometric parameters of the region with weak model magnetic field sensitivity. The lightweight principle can include minimizing the total weight of the shielding layer under the condition of meeting the magnetic density requirement.

[0088] In step S2, the magnetic shielding requirement inside the device is analyzed to determine the thickness of the magnetic shielding layer at different positions. Specifically, based on the device operating environment and electromagnetic interference characteristics, the shielding requirements of people and other devices are evaluated; combined with the cabin structure and electromagnetic interference source distribution, the applicability of the existing shielding scheme is analyzed; referring to historical data, a heuristic method is used to optimize the shielding layer thickness distribution, focusing on strengthening the strong interference region and thinning the non-sensitive region, while taking into account the lightweight requirement, and determining the shielding layer optimization strategy and arrangement scheme. For example, as shown in Figure 4 The geometric model in the AEDT project is finely divided by using the way of encoding reading and sending instructions, the region is divided into enough sub-modules, after the division, different variable names are given to the geometric parameters of different modules, according to the geometric space limit, the variation range of the parameters is determined, the cabin maximum magnetic density (B_Max) is solved, after reading the result, the parameter identification is carried out by using the algorithm iterative calculation method.

[0089] Step S3, based on the above adaptive adjustment principle, light weight principle and the magnetic shielding requirement of different cabins, a model is constructed and solved to obtain the adaptive adjustment strategy. Specifically, an optimization model is constructed to minimize the weight of the structure under the condition of meeting the magnetic shielding requirement, considering factors such as the material properties of the magnetic shielding layer, the regional electromagnetic interference intensity, the cabin internal space constraints, etc. A multi-objective optimization algorithm is used to solve the model to obtain the optimal shielding layer thickness distribution at different positions. The simulation results are iteratively adjusted to determine the adaptive adjustment strategy that meets the magnetic shielding requirement and the light weight requirement.

[0090] For example, when the magnetic field source or the magnetic field changes or is disturbed, causing the maximum magnetic density B_Max of the cabin to be greater than the required value B_Request, the geometric parameters of the magnetic shielding layer are adaptively adjusted according to the position where B_Max occurs. Since the relative position of the magnetic field generator and the magnetic shielding layer is fixed, the parameter sensitivity of different regions can be determined by referring to the relative distance from the position of the maximum magnetic density. The parameters of the model are adjusted in order according to the sensitivity, thereby reducing the influence of the sensitive region on the weight and improving the model adjustment efficiency under the condition of meeting the magnetic density requirement. Under the premise of minimizing the weight, the maximum magnetic density B_Max of the cabin is reduced to below B_Request, as shown in Figure 6 Figure 6 An example schematic diagram of the adaptive adjustment method of the magnetic shielding layer according to an embodiment of the present disclosure is shown.

[0091] In summary, the method according to the embodiment of the present disclosure can meet the requirements of both magnetic shielding efficiency and device light weight. By dividing the sub-module regions with different sensitivities, the geometric parameters of the high-sensitivity regions are preferentially optimized, and the weight of the shielding layer is significantly reduced under the premise of meeting the maximum magnetic density threshold of the cabin. The innovation lies in the regional parameterization modeling, the sensitivity priority adjustment mechanism, and the continuous adjustment mode realized by fine segmentation, which has the characteristics of high optimization efficiency, precise weight control, and strong engineering adaptability, providing a quantifiable and reusable solution for electromagnetic shielding design under complex conditions.

[0092] The embodiment of the present disclosure also provides a magnetic shielding layer arranged at a first relative position of a target object and surrounding the target object to reduce the interference of the magnetic field of a target environment where the target object is located on the target object. The magnetic shielding layer comprises a plurality of local magnetic shielding regions, each local magnetic shielding region having a corresponding local magnetic shielding structure. At least two of the local magnetic shielding structures have different structure parameters, and the structure parameters include at least one of the number of shielding structure layers, the shielding material of each layer of the magnetic shielding structure, and the material thickness of each layer of the shielding structure.

[0093] ​The magnetic shielding layer in the embodiments of the present disclosure can be obtained based on the parameter optimization method of the magnetic shielding layer in the embodiments of the present disclosure.

[0094] In some embodiments, the plurality of local magnetic shielding regions comprises:

[0095] a first local magnetic shielding region with a first local magnetic shielding structure, and a second local magnetic shielding region with a second local magnetic shielding structure; wherein a first structural parameter of the first local magnetic shielding structure is different from a second structural parameter of the second local magnetic shielding structure at least in part.

[0096] Specifically, referring to Figure 7 , Figure 7 FIG. 1 shows a schematic diagram of a magnetic shielding layer according to an embodiment of the present disclosure. Figure 7 In some embodiments, the magnetic shielding layer 700 can include a first local magnetic shielding region 710 and a second local magnetic shielding region 720. The first local magnetic shielding region 710 and the second local magnetic shielding region 720 can be different in at least one structural parameter, such as the number of shielding structure layers, the shielding material of each layer of the magnetic shielding structure, and the material thickness of each layer of the shielding structure. The structural parameter can be obtained based on the parameter optimization method of the magnetic shielding layer in the embodiments of the present disclosure. The magnetic shielding layer 700 can further include a third local magnetic shielding region 730 and a fourth local magnetic shielding region 740, which can adopt the same or different structural parameters as one of the first local magnetic shielding region 710 and the second local magnetic shielding region 720, which is not limited herein. It should be understood that the above local magnetic shielding regions are only examples and are not intended to limit the number and structure of the local magnetic shielding regions. The magnetic shielding layer can include fewer or more local magnetic shielding regions, which is not limited herein.

[0097] In some embodiments, the first relative position is determined based on a geometric parameter of the target object and a spatial constraint of the target environment on the target object.

[0098] In some embodiments, the number of shielding structure layers includes single layer or multiple layers.

[0099] In some embodiments, the target local parameter of the local magnetic shielding region minimizes the mass of the magnetic shielding layer while satisfying the magnetic shielding requirement of the target object at the first relative position; wherein the target local parameter includes the size of the local magnetic shielding region and the structural parameter of the corresponding local magnetic shielding structure.

[0100] In some embodiments, the size of the local magnetic shielding region corresponds to a regular shape and is determined based on a parameter value of an associated parameter at the local magnetic shielding region, the associated parameter being associated with the magnetic field distribution of the target environment.

[0101] In some embodiments, the parameter value in each of the local magnetic shielding regions is in the same preset range.

[0102] In some embodiments, the structure parameter is such that the local magnetic shielding region has a minimum local quality when the associated parameter meets the associated parameter constraint of the local magnetic shielding region.

[0103] The local quality comprises a sum of local layer qualities of all the local magnetic shielding layers of the local magnetic shielding region, and the local layer quality is determined based on the size, the shielding material of each layer, and the material thickness of the shielding material of each layer.

[0104] It should be noted that the method of the embodiments of the present disclosure can be executed by a single device, such as a computer or a server. The method of the embodiments can also be applied to a distributed scenario, and be completed by multiple devices cooperating with each other. In the distributed scenario, one of the multiple devices can only execute one or more steps in the method of the embodiments of the present disclosure, and the multiple devices can optimize the parameters of the magnetic shielding layer with each other to complete the method.

[0105] It should be noted that some embodiments of the present disclosure have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order and still achieve desirable results. Additionally, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order to achieve desirable results. In certain implementations, multitasking and parallel processing can be advantageous.

[0106] Based on the same technical concept, the present disclosure also provides a magnetic shielding layer parameter optimization device corresponding to any of the above-mentioned method embodiments, which is described below with reference to Figure 8 The magnetic shielding layer parameter optimization device comprises:

[0107] a geometric model module configured to determine a first geometric model of the magnetic shielding layer based on a geometric parameter of a target object and a spatial constraint of the target object in a target environment; wherein the magnetic shielding layer is used to reduce the interference of a magnetic field of the target environment on the target object, and the first geometric model comprises a first relative position of the magnetic shielding layer and the target object;

[0108] a partition module configured to partition the first geometric model based on a magnetic field distribution of the target environment to obtain a plurality of local magnetic shielding regions;

[0109] a parameter optimization module, configured to determine a target local parameter of each of the local magnetic shielding regions based on a magnetic shielding requirement of the target object at the first relative position, so as to minimize a quality of the magnetic shielding layer, wherein the target local parameter comprises at least one of a number of layers of the local magnetic shielding layer, a size of each layer of the local magnetic shielding layer, and a shielding material of each layer of the local magnetic shielding layer.

[0110] For the convenience of description, the above apparatus is described in various modules in terms of functions. Of course, the functions of the modules can be implemented in one or more software and / or hardware when implementing the present disclosure.

[0111] The apparatus of the above embodiments is used to implement the parameter optimization method of the magnetic shielding layer in any of the above embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein again.

[0112] Based on the same technical concept, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the parameter optimization method of the magnetic shielding layer according to any of the above embodiments.

[0113] The computer-readable medium of the present embodiment includes permanent and non-permanent, removable and non-removable media, which can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device.

[0114] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to perform the parameter optimization method of the magnetic shielding layer according to any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which are not described herein again.

[0115] Those of ordinary skill in the art will realize that the foregoing discussion of any of the embodiments has been presented for the purpose of illustration and description and is not intended to be exhaustive or to limit the disclosure to the precise forms described, and that various alternatives, modifications, and variations can be employed without departing from the spirit or scope of the disclosure as set forth in the claims. Examples of such alternate, modified, and varying embodiments have been discussed above in conjunction with the material discussed above.

[0116] In addition, to simplify the description and discussion, and so as not to make the embodiments of the disclosure difficult to understand, the well-known power / ground connections to integrated circuit (IC) chips and other components can or can not be shown in the provided drawings. Further, devices can be shown in block diagram form in order to avoid making the embodiments of the disclosure difficult to understand, and this also takes into account the fact that details regarding implementation of these block diagram devices are highly dependent on the platform to which the embodiments of the disclosure are to be implemented (i.e., these details should be well within the understanding of one of ordinary skill in the art). Where specific details (e.g., circuitry) are set forth in order to describe an illustrative embodiment of the disclosure, it should be apparent to one of ordinary skill in the art that the embodiments of the disclosure can be practiced without or with variation of these specific details. Thus, these descriptions should not be construed as limiting, but merely as descriptive of illustrative embodiments of the disclosure.

[0117] While the disclosure has been described in connection with specific embodiments thereof, it will be understood that many modifications, variations and alternatives will be apparent to those skilled in the art as a result of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) can use the embodiments discussed.

[0118] The embodiments of the disclosure are intended to cover all such alternatives, modifications, and variations as falling within the broad scope of the appended claims. Accordingly, any one of the steps of the embodiments of the disclosure can be performed in any order, and many of the steps can be performed in any order or in parallel, unless otherwise specified.

Claims

1. A method for optimizing the parameters of a magnetic shielding layer, comprising: The first geometric model of the magnetic shielding layer is determined based on the geometric parameters of the target object and the spatial constraints imposed on the target object by the target environment in which the target object is located; wherein, the magnetic shielding layer is used to reduce the interference of the magnetic field of the target environment on the target object, and the first geometric model includes the first relative position of the magnetic shielding layer and the target object; The first geometric model is partitioned based on the magnetic field distribution of the target environment to obtain multiple local magnetic shielding regions; Based on the magnetic shielding requirements of the target object at the first relative position, target local parameters are determined for each of the local magnetic shielding regions to minimize the mass of the magnetic shielding layer; wherein, the target local parameters include at least one of the size of the local magnetic shielding region, the number of local magnetic shielding layers in the local magnetic shielding region, the shielding material of each local magnetic shielding layer, and the material thickness of each shielding material.

2. The method according to claim 1, wherein, Based on the magnetic field distribution, the first geometric model is partitioned to obtain multiple local magnetic shielding regions, including: The parameter values ​​of the associated parameters on the first geometric model are determined based on the magnetic field distribution, and the associated parameters are related to the magnetic field distribution; Based on the parameter values, the first geometric model is divided into multiple local magnetic shielding regions.

3. The method according to claim 2, wherein, Based on the parameter values, the first geometric model is divided into multiple local magnetic shielding regions, including: The first geometric model is divided into multiple local magnetic shielding regions based on at least one preset range of the parameter values, and the parameter values ​​within each local magnetic shielding region are within the same preset range; or, The parameter values ​​are clustered to obtain multiple cluster categories; The connected regions in the first geometric model whose parameter values ​​belong to the same cluster category are identified as the local magnetic shielding regions.

4. The method according to claim 2, wherein, Based on the magnetic shielding requirements of the target object at the first relative position, target local parameters for each of the local magnetic shielding regions are determined to minimize the mass of the magnetic shielding layer, including: Based on the magnetic shielding requirements, determine the associated parameter constraints for each of the local magnetic shielding regions. Determine candidate structural combinations of the local magnetic shielding region that satisfy the associated parameter constraints. The candidate structural combinations include combinations of the number of local magnetic shielding layers, the shielding material of each layer, and the thickness of each material in the local magnetic shielding region. The local mass of the local magnetic shielding region corresponding to the candidate structure combination is determined based on the size of the local magnetic shielding region. The target local parameters are determined by the number of layers of the local magnetic shielding layer corresponding to the minimum local mass, the shielding material of each layer, the thickness of each material layer, and the size of the local magnetic shielding region, so as to minimize the mass of the magnetic shielding layer.

5. The method according to claim 4, wherein, Determining candidate structural combinations of the local magnetic shielding region that satisfy the associated parameter constraints includes: Traverse the candidate shielding materials and determine the combination of the number of layers that satisfy the associated parameter constraints, the shielding material corresponding to each layer, and the material thickness of each shielding material as the candidate structure combination.

6. The method according to claim 4, wherein, Determining the local mass of the local magnetic shielding region corresponding to the candidate structure combination based on the size of the local magnetic shielding region includes: The local layer mass of each local magnetic shielding layer is determined based on the dimensions, the corresponding shielding material for each layer, and the material thickness of each shielding material. The local mass is obtained by summing the local layer masses of all the local magnetic shielding layers.

7. The method according to claim 1, wherein, The first geometric model of the magnetic shielding layer is determined based on the geometric parameters of the target object and the spatial constraints imposed on the target object by the target environment, including: The initial geometric model of the magnetic shielding layer is determined based on the geometric parameters of the target object; the initial geometric model includes the initial global dimensions of the magnetic shielding layer and the initial relative position of the magnetic shielding layer and the target object. The initial global dimensions and the initial relative positions are adjusted based on the spatial constraints to obtain the first geometric model.

8. A parameter optimization device for a magnetic shielding layer, comprising: A geometric model module is used to determine a first geometric model of the magnetic shielding layer based on the geometric parameters of the target object and the spatial constraints imposed on the target object by the target environment in which the target object is located; wherein, the magnetic shielding layer is used to reduce the interference of the magnetic field of the target environment on the target object, and the first geometric model includes a first relative position between the magnetic shielding layer and the target object; The partitioning module is used to partition the first geometric model based on the magnetic field distribution of the target environment to obtain multiple local magnetic shielding regions; The parameter optimization module is used to determine target local parameters for each local magnetic shielding region based on the magnetic shielding requirements of the target object at the first relative position, so as to minimize the mass of the magnetic shielding layer; wherein, the target local parameters include at least one of the following: the number of local magnetic shielding layers in the local magnetic shielding region, the size of each local magnetic shielding layer, and the shielding material of each local magnetic shielding layer.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the parameter optimization method for a magnetic shielding layer as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the parameter optimization method for the magnetic shielding layer according to any one of claims 1 to 7.

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