Magnetic shielding layer

Abstract

The invention provides a magnetic shielding layer which is arranged at a first relative position of a target object and surrounds the target object so as to reduce interference of a 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 areas, and each local magnetic shielding area is provided with a corresponding local magnetic shielding structure; wherein the structure parameters of the at least two local magnetic shielding structures are different, and the structure parameters comprise at least one of the number of layers of the shielding structures, the shielding material of each layer of the magnetic shielding structure and the material thickness of each layer of the shielding structure.

Description

Technical Field

[0001] The present disclosure relates to the field of magnetic shielding layers, and in particular, to a magnetic shielding layer. Background Art

[0002] In the existing technology, the magnetic shielding layer design usually adopts the same shielding structure as a whole, such as using the same shielding material, etc. However, in actual applications, due to the irregular magnetic field distribution, using the same shielding structure as a whole may lead to uneven magnetic shielding effects, affecting the overall electromagnetic compatibility, and also being unfavorable for reducing weight, volume, etc. Summary of the Invention

[0003] The present disclosure proposes a method for optimizing the parameters of a magnetic shielding layer and related devices, which at least to a certain extent solves the technical problems such as uneven magnetic shielding effect, large weight, and low design efficiency of the magnetic shielding layer in the related technology.

[0004] In the first aspect of the present disclosure, a magnetic shielding layer is provided, which is arranged at a first relative position of a target object and surrounds the target object to reduce the interference of the magnetic field in the target environment where the target object is located on the target object;

[0005] The magnetic shielding layer includes:

[0006] A plurality of local magnetic shielding regions, each local magnetic shielding region having a corresponding local magnetic shielding structure; wherein, the structural parameters of at least two of the local magnetic shielding structures are different, and the structural parameters include at least one of the number of layers of the shielding structure, the shielding material of each layer of the magnetic shielding structure, and the material thickness of each layer of the shielding structure.

[0007] As can be seen from the above, the magnetic shielding layer provided by the present disclosure surrounds the target object by arranging a plurality of local magnetic shielding regions with different structural parameters at the first relative position of the target object to reduce the magnetic field interference in the target environment. By flexibly adjusting the structural parameters (such as the number of layers, material, thickness) of each local magnetic shielding region, more precise and efficient magnetic shielding protection for the target object can be achieved. Description of the Drawings

[0008] In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the following will briefly introduce the drawings required for use in the embodiments or related technology descriptions. Obviously, the drawings in the following description are only the embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0009] Figure 1 It is a schematic diagram of the parameter optimization architecture of the magnetic shielding layer according to the embodiment of the present disclosure.

[0010] Figure 2Schematic diagram of the hardware structure of an exemplary electronic device according to an embodiment of the present disclosure.

[0011] Figure 3 Schematic flowchart of the parameter optimization method for the magnetic shielding layer according to an embodiment of the present disclosure.

[0012] Figure 4 Schematic diagram of the principle of the self - adaptive adjustment method for the magnetic shielding layer according to an embodiment of the present disclosure.

[0013] Figure 5 Schematic flowchart of the self - adaptive adjustment method for the magnetic shielding layer according to an embodiment of the present disclosure.

[0014] Figure 6 Schematic example diagram of the self - adaptive adjustment method for the magnetic shielding layer according to an embodiment of the present disclosure.

[0015] Figure 7 Schematic diagram of the magnetic shielding layer according to an embodiment of the present disclosure.

[0016] Figure 8 Schematic diagram of the parameter optimization device for the magnetic shielding layer according to an embodiment of the present disclosure. Detailed implementation manners

[0017] To make the objectives, technical solutions, and advantages of the present disclosure clearer and more understandable, the present disclosure will be further described in detail below with reference to specific embodiments and the accompanying drawings.

[0018] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should have the ordinary meanings understood by those of ordinary skill in the art to which the present disclosure belongs. The "first", "second" and similar terms used in the embodiments of the present disclosure do not denote any order, quantity or importance, but are only used to distinguish different components. The terms such as "including" or "comprising" mean that the elements or objects appearing before this term cover the elements or objects listed after this term and their equivalents, without excluding other elements or objects. The terms such as "connected" or "coupled" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The terms such as "upper", "lower", "left", "right" are only used to represent relative positional relationships, and when the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0019] It should be understood that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, usage scopes, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to users and user authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations. For example, when responding to an active request from a user, a prompt message is sent to the user to clearly prompt that the operation requested by the user will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application program, server, or storage medium that performs the operations of the technical solutions of the present disclosure based on the prompt message.

[0020] It should be understood that the above process of notifying and obtaining user authorization is only illustrative and does not limit the implementation manner of the present disclosure. Other manners that meet relevant laws and regulations can also be applied to the implementation manner of the present disclosure.

[0021] Figure 1 A schematic diagram of the parameter optimization architecture of the magnetic shielding layer according to an embodiment of the present disclosure is shown. Refer to Figure 1 , the parameter optimization architecture 100 of the magnetic shielding layer may 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. Among them, the server 110 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, security services, and CDN.

[0022] The terminal 120 can be implemented by hardware or software. For example, when the terminal 120 is implemented by 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 portable computers, and desktop computers, etc. When the terminal 120 device is implemented by software, it can be installed in the above-listed electronic devices; it can be implemented as multiple software or software modules (such as software or software modules for providing distributed services), or can be implemented as a single software or software module, which is not specifically limited here.

[0023] It should be noted that the parameter optimization method of the magnetic shielding layer provided in the embodiments of the present application can be executed by the terminal 120 or by the server 110. It should be understood that Figure 1 the number of terminals, networks, and servers in

[0024] Figure 2The figure shows a schematic diagram of the hardware structure of the exemplary electronic device 200 provided by an embodiment of the present disclosure. As Figure 2 shown, the electronic device 200 may 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 communicatively connected to each other inside the electronic device 200 through the bus 210.

[0025] The processor 202 may 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 may be used to execute functions related to the technology described in the present disclosure. In some embodiments, the processor 202 may further include multiple processors integrated as a single logic component. For example, as Figure 2 shown, the processor 202 may include multiple processors 202a, 202b, and 202c.

[0026] The memory 204 may be configured to store data (e.g., instructions, computer code, etc.). As Figure 2 shown, the data stored in the memory 204 may include program instructions (e.g., program instructions for implementing the parameter optimization method of the magnetic shielding layer in the embodiments of the present disclosure) and data to be processed (e.g., the memory may store configuration files of other modules, etc.). The processor 202 may 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 may include a volatile storage device or a non-volatile storage device. In some embodiments, the memory 204 may include a random access memory (RAM), a read-only memory (ROM), an optical disc, a magnetic disk, a hard disk, a solid state drive (SSD), a flash memory, a memory stick, etc.

[0027] The network module 206 may be configured to provide communication with other external devices to the electronic device 200 via a network. The network may be any wired or wireless network capable of transmitting and receiving data. For example, the network may 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 the network is not limited to the above specific examples. In some embodiments, the network module 206 may include any combination of any number of network interface controllers (NICs), radio frequency modules, transceivers, modems, routers, gateways, adapters, cellular network chips, etc.

[0028] The peripheral interface 208 can be configured to connect the electronic device 200 to one or more peripheral devices to achieve information input and output. For example, the peripheral devices can include input devices such as a keyboard, a mouse, a touchpad, a touch screen, a microphone, various sensors, etc., and output devices such as a display, a speaker, a vibrator, an indicator light, etc.

[0029] The bus 210 can be configured to transmit information between various components of the electronic device 200 (such as the processor 202, the memory 204, the network module 206, and the peripheral interface 208), such as an internal bus (e.g., a processor-memory bus), an external bus (USB port, PCI-E bus), etc.

[0030] It should be noted that although the architecture of the above-mentioned electronic device 200 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 above-mentioned electronic device 200 can also only include the components necessary to implement the solution of the embodiments of the present disclosure, and does not necessarily include all the components shown in the figure.

[0031] In today's society, with the rapid development of science and technology, the complexity of the electromagnetic environment is increasing, especially in the fields of rail transit, medical equipment and aerospace, which have become an important part of the development of modern society. In the field of rail transit, high-speed railways and urban rail transit have become important infrastructures that are indispensable in the process of urbanization. During the high-speed operation of trains, due to the large number of electronic devices used, these devices will generate strong electromagnetic fields during operation, which may have adverse effects on other electronic devices and passengers in the car. Therefore, how to effectively shield these electromagnetic interferences and ensure the normal operation of electronic equipment inside the train and the safety of passengers has become an important issue that needs to be solved in the current rail transit field. In the field of medical equipment, modern medical equipment widely relies on precision 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 surrounding sensitive electronic equipment and operators. At the same time, some patients use implanted medical devices (such as pacemakers or cochlear implants) in strong magnetic field environments. Proper shielding protection is also required. In the field of aerospace, a large number of high-precision electronic devices are used in equipment such as satellites, spacecraft and aircraft, and the strong magnetic fields in the space environment and inside the aircraft may have adverse effects on these devices. In addition, when UAVs and military equipment are operating in complex environments, they also need to shield strong magnetic field interference to ensure equipment performance. Therefore, a demand for lightweight and high-efficiency electromagnetic shielding technology has been proposed. However, the design of the magnetic shielding layer in the related technology usually adopts the same shielding structure as a whole, such as the same shielding material. However, in practical applications, due to the irregular distribution of the magnetic field, the use of the same shielding structure as a whole may lead to uneven magnetic shielding effects, affect the overall electromagnetic compatibility, and is not conducive to reducing weight and volume. 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 and lightweight of the magnetic shielding layer, ensure the shielding effect while reducing the weight of the magnetic shielding layer, reduce labor costs, and improve the efficiency of parameter optimization have become technical problems that need to be solved urgently.

[0032] In view of this, embodiments of the present disclosure provide a method for optimizing parameters of a magnetic shielding layer and related devices. By comprehensively considering the geometric parameters of the target object and the spatial constraints of its surrounding environment, a first geometric model of the magnetic shielding layer is determined to clarify the relative position between the magnetic shielding layer and the target object; and according to the characteristics of the magnetic field distribution in the target environment, the first geometric model is divided into multiple local magnetic shielding regions to achieve a more refined shielding design. Based on the specific magnetic shielding requirements of the target object in each local region, by optimizing parameters such as the number of layers, size, and shielding material selection of each local magnetic shielding region, it is ensured that while meeting the magnetic shielding efficiency, the mass of the magnetic shielding layer is minimized. It effectively balances the shielding effect and lightweight of the magnetic shielding layer, reduces the weight of the magnetic shielding layer while ensuring the shielding effect, and can also reduce labor costs and improve the efficiency of parameter optimization.

[0033] Refer to Figure 3 , Figure 3 FIG. shows a schematic flowchart of a method for optimizing parameters of a magnetic shielding layer according to an embodiment of the present disclosure. The method for optimizing parameters of a magnetic shielding layer according to an embodiment of the present disclosure can be deployed on a server side or a terminal. Figure 3 In this, the method 300 for optimizing parameters of a magnetic shielding layer may further include the following steps.

[0034] In step S310, a first geometric model of the magnetic shielding layer is determined based on the geometric parameters of the target object and the spatial constraints of the target environment where the target object is located. Wherein, the magnetic shielding layer is used to reduce the interference of the magnetic field in the target environment on the target object, and the first geometric model includes the first relative position between the magnetic shielding layer and the target object.

[0035] Among them, the target object may refer to the main body that needs to be protected by magnetic shielding, and can be any device, component or system that is sensitive to magnetic fields or needs to reduce external magnetic field interference. The geometric parameters of the target object may refer to physical characteristics such as the size and shape of the target object in space. The target environment may refer to the external environment where the target object is located, which may contain a magnetic field that affects the target object. The spatial constraint may refer to the limiting conditions of the target environment on the spatial layout of the target object and its magnetic shielding layer, such as the spatial size, shape, obstacles, etc. The magnetic shielding layer may refer to a structure or material layer used to reduce or eliminate the interference of an external magnetic field on the target object. The first geometric model may 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 contains the relative position relationship between the magnetic shielding layer and the target object.

[0036] By analyzing the geometric parameters of the target object (such as size, shape), the basic requirements for the design of the magnetic shielding layer can be understood. Consider the spatial constraints on the layout of the magnetic shielding layer in the target environment (such as the size of the available space, shape limitations, obstacle positions, etc.), as well as the intensity and direction of the magnetic field in the target environment. Based on this information, using electromagnetic simulation software or manual calculations, 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 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 precision electronic measuring instrument that is very sensitive to external magnetic fields, and any slight magnetic field change may affect its measurement accuracy. The target environment is a laboratory full of various electromagnetic devices, and the magnetic fields generated by these devices 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 intensity, 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 comprehensively 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 requirements of the target object.

[0037] 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 where the target object is located includes:

[0038] Determining an initial geometric model of the magnetic shielding layer based on the geometric parameters of the target object; the initial geometric model includes the initial global size of the magnetic shielding layer and the initial relative position between the magnetic shielding layer and the target object;

[0039] Adjusting the initial global size and the initial relative position based on the spatial constraints to obtain the first geometric model.

[0040] Among them, the initial geometric model can refer to the model of the magnetic shielding layer preliminarily set based on the geometric parameters of the target object, including global dimensions (such as length, width, height) and relative positions with respect to the target object (such as distance, direction). The first geometric model can be the geometric model of the magnetic shielding layer after adjusting the initial geometric model to meet the target environmental space constraints. Specifically, according to the geometric parameters of the target object (such as shape, size), the initial geometric model of the magnetic shielding layer is designed. The initial geometric model can be a shell or layer surrounding the target object, whose size and shape closely match the target object to ensure an effective shielding effect. Place the initial geometric model in the target environment and consider the space constraints in the environment (such as space size, shape limitations, obstacle positions, etc.). These constraints may require adjusting the global dimensions of the magnetic shielding layer or its relative position with respect 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 space constraints, including modifying global dimensions, adjusting relative positions, or changing shapes, until the first geometric model that meets all the constraint conditions is obtained. By precisely matching the geometric parameters of the target object and considering the space constraints of the target environment, a more fitting and efficient magnetic shielding layer can be designed, thereby improving the shielding effect and reducing the interference of the external magnetic field on the target object.

[0041] In step S320, the first geometric model is partitioned based on the magnetic field distribution of the target environment to obtain a plurality of local magnetic shielding regions.

[0042] Among them, the magnetic field distribution can describe the distribution law of the magnetic field intensity, direction and other characteristics in the target environment in space. According to the magnetic field distribution of the target environment, the first geometric model is divided into a plurality of local magnetic shielding regions, and different shielding strategies or materials can be adopted for each region. The local magnetic shielding region can refer to the sub-region divided in the first geometric model. These regions may require different shielding treatments due to the non-uniformity of the magnetic field distribution in the target environment or the difference in the magnetic field sensitivity inside the target object. Specifically, magnetic field simulation or measurement data can be used to analyze the variation law and intensity distribution of the magnetic field in the target environment. By identifying the regions with higher magnetic field intensity or larger variation, and the parts inside 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. For each region, different shielding strategies can be designed according to its magnetic field distribution characteristics and shielding requirements, such as using shielding materials with different thicknesses, adopting different shielding structures, or arranging additional shielding layers.

[0043] It can be seen that through the partition design, precise shielding treatment can be carried out according to the characteristics of each local magnetic shielding area, thereby improving the overall shielding efficiency and reducing the use of unnecessary shielding materials. For a complex and variable magnetic field environment, the partition design can more flexibly meet the shielding requirements of different areas and improve the adaptability of the design. Through precise magnetic field simulation and measurement, the areas that need to be key-shielded can be more accurately identified, thereby improving the accuracy and reliability of the design. The partition design makes the maintenance and upgrade of the magnetic shielding layer easier because specific areas can be replaced or upgraded without modifying the entire magnetic shielding layer.

[0044] 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:

[0045] Determining the parameter values of the correlation parameters on the first geometric model based on the magnetic field distribution, where the correlation parameters are associated with the magnetic field distribution;

[0046] Dividing the first geometric model into a plurality of the local magnetic shielding areas based on the parameter values.

[0047] Among them, the correlation parameter can refer to a parameter that has a direct or indirect relationship with the magnetic field distribution, such as including magnetic density, magnetic field strength, the change rate of magnetic field direction, the uniformity or non-uniformity of the magnetic field, etc. The principle of partitioning can be based on the threshold of the parameter, the gradient change of the parameter, or the spatial distribution characteristics of the parameter. For example, if the change of the magnetic field strength in a certain area is very small, 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 required magnetic shielding effect can be precisely controlled for each local area.

[0048] Specifically, different regions of the magnetic shielding layer can be refined in a parameterized manner. The number of region divisions can be freely adjusted according to requirements, and the division results of the model can be parameterized, that is, parameterized length, width, and thickness are assigned to the individual geometric structures after division for subsequent adaptive optimization simulation. Since the relative positions of the magnetic field sources in the external environment and the magnetic shielding layer are fixed, the parameter sensitivities of different regions can be determined based on the relative distance from the point with the maximum magnetic flux density (such as the points with the maximum magnetic flux density in different regions inside the magnetic shielding layer). The parameters of each local magnetic shielding region are arranged in order of sensitivity, so as to reduce the influence of the region with reduced sensitivity on the weight under the condition of meeting the magnetic flux density requirement and improve the efficiency of parameter optimization. For example, based on the electromagnetic field analysis software, the construction, modification, and parameterization of the 3D model can be directly carried out in the software. The inputs can be instructions for modifying parameters, copying, pasting, moving, and Boolean operations on geometric objects, etc. (more efficient through batch code implementation), and the output is the software's execution of the corresponding instructions on the model. The electromagnetic field analysis software can support the invocation of the API interface. By installing the script tool kit (PyAEDT), the compiler software is connected to the project in the electromagnetic field analysis software to realize the invocation and batch processing of the content in the project using the programming language. Other methods that meet the requirements of the API interface can also be used. The geometric model in the electromagnetic field analysis software is refined by encoding to read and send instructions, and the region is divided into a sufficient number of sub-modules. After the division, different variable names are assigned to the geometric parameters of different modules. 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 reading the results, parameter identification is carried out by means of algorithm iterative calculation. Finally, a set of parameter values that meet the conditions are obtained after the solution is completed. As Figure 4 shown Figure 4 shows the schematic diagram of the adaptive adjustment method of the magnetic shielding layer according to an embodiment of the present disclosure.

[0049] In some embodiments, dividing the first geometric model into a plurality of the local magnetic shielding regions based on the parameter values includes:

[0050] Dividing the first geometric model into a plurality of the 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.

[0051] Among them, the division based on the preset range of parameter values no longer solely depends on the absolute magnitude or variation of the parameter values, but rather 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 magnetic field distribution, and characteristics of geometric models. According to the preset range of parameter values, 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 terms of magnetic field distribution characteristics, such as having similar magnetic shielding effects. In this way, unified processing or design can be carried out for each local magnetic shielding region to meet specific application requirements.

[0052] Specifically, in addition to the region division based on magnetic field sensitivity, dynamic partitioning can be performed in combination with the heat map or clustering analysis of electromagnetic field distribution.

[0053] In some embodiments, dividing the first geometric model into multiple local magnetic shielding regions based on the parameter values includes:

[0054] Clustering the parameter values to obtain multiple clustering categories;

[0055] Determining the connected regions in the first geometric model where the parameter values belong to the same clustering category as the local magnetic shielding regions.

[0056] Among them, clustering is an unsupervised learning method used to divide a dataset into multiple categories, such that data points within the same category are similar to each other, while data points between different categories are quite different. Parameter values (these parameter values are associated with the magnetic field distribution) can be used as input data, and clustering algorithms (such as K-means, DBSCAN, etc.) are applied for clustering. The result of clustering is to divide the parameter values into multiple clustering categories, and the parameter values within each category have a certain similarity. After obtaining the clustering result, these clustering categories can be mapped back to the first geometric model. For example, each point or region on the first geometric model is checked to determine which clustering category its parameter value belongs to. Regions that belong to the same clustering category and are geometrically connected are divided into a local magnetic shielding region. Here, "connected" means that these regions are geometrically continuous without breaks or gaps. Since the parameter values within the local magnetic shielding region belong to the same clustering category, these regions have similarity in terms of 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 the parameter values without the need to define clear boundaries or rules in advance. This makes the division process more flexible and adaptive, capable of adapting 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 the case where the parameter values follow a Gaussian distribution, while the DBSCAN algorithm has good robustness to noise and outliers.

[0057] In some embodiments, the local magnetic shielding region can have a regular shape. 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 the parameter values, a regular shape constraint can be combined. Through algorithms (such as the least squares method, genetic algorithms, etc.) or manual adjustment, each local magnetic shielding region is made to be as close as possible to a regular shape, so as to obtain multiple local magnetic shielding regions with (or close to) regular shapes and meeting the magnetic shielding requirements. It can be seen that by introducing the regular shape constraint, the boundary of the local magnetic shielding region 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 to improve the calculation efficiency and accuracy, thereby accelerating the process of magnetic shielding design and optimization.

[0058] In some embodiments, the local magnetic shielding region is detachable. In some embodiments, adjacent local magnetic shielding regions adopt mechanical connection, adhesive connection, or physical fitting.

[0059] Among them, a variety of connection methods can be adopted, including mechanical connection, adhesive connection or physical fitting. Mechanical connection is to fix adjacent local magnetic shielding regions together by using fasteners such as bolts, nuts, rivets, etc. For example, holes can be drilled in adjacent local magnetic shielding regions, and then they can be connected with bolts and nuts. This method is convenient for disassembly and reassembly, and is convenient for maintenance and replacement. Adhesive connection is to bond adjacent local magnetic shielding regions together by using adhesives (such as epoxy resin, glue, etc.). For example, an adhesive can be applied to the contact surfaces of adjacent local magnetic shielding regions, and then they can be closely fitted together. After the adhesive cures, the adjacent local magnetic shielding regions will form a whole. Physical fitting is to design specific shapes and structures so that adjacent local magnetic shielding regions can be nested or embedded with each other. For example, complementary notches or protrusions can be designed on adjacent local magnetic shielding regions so that they can be fitted together. This method does not require additional fasteners or adhesives, and has the advantages of simple structure and firm connection.

[0060] By adopting methods such as mechanical connection, adhesive connection or physical fitting to connect adjacent local magnetic shielding regions together, an integral structure can be formed, thereby improving the overall stability of the magnetic shielding layer. The tightness of the connection between adjacent local magnetic shielding regions directly affects the magnetic shielding effect. By adopting the above connection methods, the gap between adjacent regions 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 processes of the magnetic shielding layer simpler and more convenient. Different connection methods are suitable for different application scenarios and requirements. For example, mechanical connection is suitable for occasions that need to be disassembled and replaced frequently; adhesive connection is suitable for occasions that require higher connection strength; physical fitting is suitable for occasions with simple structure and high requirements for connection strength. Therefore, adopting a variety of connection methods can improve the adaptability and flexibility of the magnetic shielding layer. In summary, adopting methods such as mechanical connection, adhesive connection or physical fitting to connect adjacent local magnetic shielding regions 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.

[0061] In step S330, based on the magnetic shielding requirements of the target object at the first relative position, the target local parameters of each local magnetic shielding region are determined to minimize the mass of the magnetic shielding layer. Among them, the target local parameters include at least one of the size of the local magnetic shielding region, the number of layers of the local magnetic shielding layer in the local magnetic shielding region, the shielding material of each layer of the local magnetic shielding layer, and the material thickness of each layer of the shielding material.

[0062] Among them, due to the functional or performance requirements of the target object at a specific position (the first relative position), there may be certain shielding requirements for the magnetic field, such as the attenuation of the magnetic field intensity, the change of the magnetic field direction, or the improvement of the magnetic field uniformity. The target local parameters of the local magnetic shielding region may include the size of the local magnetic shielding region (such as length, width), the number of layers of the shielding material in the local magnetic shielding layer, the type and material thickness of each layer of the shielding material, etc. On the premise of meeting the magnetic shielding requirements of the target object, minimizing the mass may 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 may improve the overall performance and reliability of the target object.

[0063] 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 mass through iterative optimization. Through reasonable parameter setting and optimization strategies, a magnetic shielding layer design that meets the requirements and has the minimum mass can be obtained.

[0064] 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.

[0065] 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 mass of the magnetic shielding layer includes:

[0066] Determining the associated parameter constraint conditions corresponding to the associated parameters in each local magnetic shielding region based on the magnetic shielding requirements;

[0067] Determining the candidate structure combinations of the local magnetic shielding regions that meet the associated parameter constraint conditions, where the candidate structure combinations include the number of layers of the local magnetic shielding layer in the local magnetic shielding region, the combination of each layer of shielding material and the thickness of each layer of material;

[0068] 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;

[0069] Determining the number of layers of the local magnetic shielding layer corresponding to the minimum value of the local mass, each layer of the shielding material and the thickness of each layer of the material, as well as the size of the local magnetic shielding region as the target local parameters to minimize the mass of the magnetic shielding layer.

[0070] Among them, determining the associated parameter constraints may refer to determining the specific constraints of the associated parameters (such as magnetic field attenuation, magnetic field uniformity, etc.) directly related to these requirements in each local magnetic shielding region according to the magnetic shielding requirements of the target object at the first relative position. The candidate structure combinations may refer to various possible combinations of the number of layers of the local magnetic shielding layer, the type of shielding material for each layer, and the thickness of each layer of material in the local magnetic shielding region. According to the associated parameter constraints, the candidate structure combinations that meet these conditions are screened out. For each candidate structure combination, its corresponding local mass can be calculated based on the size of the local magnetic shielding region. Among all the candidate structure combinations, the combination with the minimum local mass can be selected as the optimal solution. The number of layers, the type of shielding material for 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 seek, which minimize the mass of the magnetic shielding layer on the premise of meeting the magnetic shielding requirements.

[0071] The optimization process can be iterative. After initially determining the candidate structure combinations, their shielding effects can be verified through simulation or experiments. When the shielding effect of a certain candidate structure combination is not ideal, the associated parameter constraints can be adjusted or the candidate structure combinations can be re-screened. Through multiple iterations, the optimal solution can be gradually approached. For example, multi-objective optimization algorithms, genetic algorithms, particle swarm optimization (PSO), or deep learning models can be used to solve the target local parameters.

[0072] In some embodiments, determining the candidate structure combinations of the local magnetic shielding regions that meet the associated parameter constraints includes:

[0073] Traverse the candidate shielding materials, and determine that the combination of the number of layers, the corresponding shielding material for each layer, and the material thickness of each layer of shielding material that meet the associated parameter constraints is the candidate structure combination.

[0074] Among them, according to the magnetic shielding performance indicators of different materials, materials such as amorphous alloys, permalloys, silicon steel sheets, and industrial pure iron can be selected as candidate materials, and these materials have excellent performance in both 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, and a variety of shielding structures can be designed, including single-layer and multi-layer composite structures. For example, the influence of different material combinations, thicknesses, and arrangements on the shielding effect can be considered. During the design process, the actual working conditions of the equipment, such as space limitations and weight limitations, are considered. For example, finite element analysis tools can be used to perform electromagnetic field simulations on the designed shielding structure to study the shielding effects of different thicknesses, materials, and structures of the shielding plate.

[0075] In some embodiments, 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:

[0076] determining a local layer quality of each of the local magnetic shielding layers based on the size, the shielding material corresponding to each layer, and the material thickness of each layer of the shielding material;

[0077] The local mass is obtained based on the sum of the local layer masses of all the local magnetic shielding layers.

[0078] Among them, the size of each local magnetic shielding layer (such as length, width, height or area, volume, etc.) is usually related to the size of the entire local magnetic shielding area, for example, the two are the same. Different shielding materials have different densities and masses per unit volume or area. By multiplying the size of each layer, the density of the shielding material and the material thickness, we can calculate the local layer mass of each local magnetic shielding layer. The local magnetic shielding area may contain multiple shielding layers, each with its own specific local layer mass. In order to obtain the local mass of the entire local magnetic shielding area, the local layer masses of all local magnetic shielding layers can be added. The goal of parameter optimization is to determine the candidate structural combination that minimizes the local mass 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.

[0079] See also Figure 5 , Figure 5 A schematic flow chart of a method for adaptively adjusting a magnetic shielding layer 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 refining the shielding layer by region, for example, first adjusting the geometric parameters of the model magnetic field sensitivity area, and then adjusting the geometric parameters of the model magnetic field sensitivity area. The lightweight principle can include the overall weight of the shielding layer being the smallest under the condition of meeting the magnetic density requirements.

[0080] Step S2, analyze the magnetic shielding requirements inside the equipment and determine the thickness of the magnetic shielding layer at different locations. Specifically, based on the equipment operating environment and electromagnetic interference characteristics, evaluate the shielding requirements of people and other equipment; combine the cabin structure and the distribution of electromagnetic interference sources to analyze the applicability of existing shielding solutions; refer to historical data and use heuristic methods to optimize the thickness distribution of the shielding layer, focus on strengthening areas with strong interference, thinning non-sensitive areas, while taking into account lightweight requirements, and clarify the shielding layer optimization strategy and layout plan. For example, Figure 4 As shown in the figure, the geometric model in the AEDT project is refined by encoding reading and sending instructions, and the area is divided into enough sub-modules. After the division, different variable names are assigned to the geometric parameters of different modules. According to the geometric space restrictions, the range of parameter changes is determined, and the maximum magnetic density (B_Max) of the cabin is solved. After reading the results, the algorithm iterative calculation method is used to identify the parameters.

[0081] Step S3: Based on the above adaptive adjustment principle, lightweight principle, and the magnetic shielding requirements of different cabins, a model is constructed and solved to obtain an adaptive adjustment strategy. Specifically, an optimization model with the goal of minimizing the structural weight under the condition of meeting the magnetic shielding requirements is constructed, comprehensively considering factors such as the material properties of the magnetic shielding layer, the intensity of regional electromagnetic interference, and the internal space constraints of the cabin; a multi-objective optimization algorithm is used to solve the model to obtain the optimal shielding layer thickness distribution at different positions; the optimization parameters are iteratively adjusted in combination with the simulation results, and finally an adaptive adjustment strategy that meets the magnetic shielding requirements and lightweight requirements is determined.

[0082] For example, when a given magnetic field source or a change or disturbance in the magnetic field causes 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 appears. Since the relative position between 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 of sensitivity, so as to reduce the impact of the region with lower sensitivity on the weight under the condition of meeting the magnetic density requirement, and improve the model adjustment efficiency. On the premise of minimizing the weight, the maximum magnetic density B_Max of the cabin is reduced below B_Request, as Figure 6 shown Figure 6 shows an example schematic diagram of the adaptive adjustment method of the magnetic shielding layer according to an embodiment of the present disclosure.

[0083] In summary, the method according to the embodiments of the present disclosure can meet the requirements of both magnetic shielding efficiency and equipment lightweight. By dividing the sub-module regions with different sensitivities, the geometric parameters of the high-sensitivity regions are preferentially optimized, and automated batch processing is realized through Python scripts, significantly reducing the weight of the shielding layer under the premise of meeting the maximum magnetic density threshold of the cabin. Its innovation lies in the regional parametric modeling, the sensitivity-priority adjustment mechanism, and the continuous adjustment method realized by fine segmentation, with 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 working conditions.

[0084] Embodiments of the present disclosure also provide a magnetic shielding layer, which is arranged at a first relative position of a target object and surrounds the target object to reduce the interference of the magnetic field in the target environment where the target object is located on the target object; the magnetic shielding layer includes: a plurality of local magnetic shielding regions, and each local magnetic shielding region has a corresponding local magnetic shielding structure; wherein, the structural parameters of at least two of the local magnetic shielding structures are different, and the structural 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.

[0085] Among them, the magnetic shielding layer of the embodiments of the present disclosure can be obtained based on the parameter optimization method of the magnetic shielding layer of the embodiments of the present disclosure.

[0086] In some embodiments, the multiple local magnetic shielding regions include:

[0087] a first local magnetic shielding region having a first local magnetic shielding structure and a second local magnetic shielding region having a second local magnetic shielding structure; wherein, at least part of the first structural parameter of the first local magnetic shielding structure is different from the second structural parameter of the second local magnetic shielding structure.

[0088] Specifically, referring to Figure 7 , Figure 7 shows a schematic diagram of the magnetic shielding layer according to the embodiments of the present disclosure. Figure 7 In, the magnetic shielding layer 700 may 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 may be structures with at least one different structural parameter among the number of shielding structure layers, the shielding material of each magnetic shielding structure layer, and the material thickness of each shielding structure layer. This structural parameter can be obtained based on the parameter optimization method of the magnetic shielding layer of the embodiments of the present disclosure. The magnetic shielding layer 700 may further include a third local magnetic shielding region 730 and a fourth local magnetic shielding region 740, which may have the same or different structural parameters as one of the first local magnetic shielding region 710 and the second local magnetic shielding region 720, and are 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 may include fewer or more local magnetic shielding regions, which are not limited herein.

[0089] In some embodiments, the first relative position is determined based on the geometric parameters of the target object and the spatial constraints of the target environment on the target object.

[0090] In some embodiments, the number of shielding structure layers includes a single layer or multiple layers.

[0091] In some embodiments, the target local parameters of the local magnetic shielding region minimize the mass of the magnetic shielding layer when the magnetic shielding layer meets the magnetic shielding requirements of the target object at the first relative position; wherein, the target local parameters include the size of the local magnetic shielding region and the structural parameters of the corresponding local magnetic shielding structure.

[0092] In some embodiments, the size of the local magnetic shielding region corresponds to a regular shape and is determined based on the parameter value of the associated parameter at the local magnetic shielding region, and the associated parameter is associated with the magnetic field distribution of the target environment.

[0093] In some embodiments, the parameter values within each of the local magnetic shielding regions are within the same preset range.

[0094] In some embodiments, the structural parameters are such that when the associated parameters in the local magnetic shielding region satisfy the associated parameter constraint conditions of the local magnetic shielding region, the local mass of the local magnetic shielding region is minimized;

[0095] Wherein, the local mass includes the sum of the local layer masses of all the local magnetic shielding layers of the local magnetic shielding region, and the local layer mass is determined based on the size, the shielding material corresponding to each layer, and the material thickness of the shielding material of each layer.

[0096] 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 this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In such a distributed scenario, one of the multiple devices can only execute one or more steps of the method of the embodiments of the present disclosure, and these multiple devices will optimize the parameters of the magnetic shielding layer with each other to complete the described method.

[0097] 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 than in the above embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0098] Based on the same inventive concept, corresponding to the method of any of the above embodiments, the present disclosure also provides a device for optimizing the parameters of a magnetic shielding layer. Refer to Figure 8 , the device for optimizing the parameters of the magnetic shielding layer, the device includes:

[0099] A geometric model module, configured to determine a first geometric model of the magnetic shielding layer based on the geometric parameters of the target object and the spatial constraints of the target object in the target environment; wherein, the magnetic shielding layer is used to reduce the interference of the magnetic field in the target environment on the target object, and the first geometric model includes the first relative position between the magnetic shielding layer and the target object;

[0100] A partitioning module, configured to partition the first geometric model based on the magnetic field distribution in the target environment to obtain a plurality of local magnetic shielding regions;

[0101] A parameter optimization module is configured to determine target local parameters for each of the local magnetic shielding regions based on the magnetic shielding requirements of the target object at the first relative position, so as to minimize the quality of the magnetic shielding layer; wherein the target local parameters include at least one of the number of layers of the local magnetic shielding layer in the local magnetic shielding region, the size of each layer of the local magnetic shielding layer, and the shielding material of each layer of the local magnetic shielding layer.

[0102] For convenience of description, when describing the above device, various modules are described separately according to their functions. Of course, when implementing the present disclosure, the functions of each module can be implemented in one or more software and / or hardware.

[0103] The device of the above embodiment is used to implement the parameter optimization method of the corresponding magnetic shielding layer in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0104] Based on the same technical concept, corresponding to the method of any of the above embodiments, the present disclosure further provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the parameter optimization method of the magnetic shielding layer as described in any of the foregoing embodiments.

[0105] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. 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 tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information accessible by a computing device.

[0106] The computer instructions stored in the storage medium of the above embodiment are used to cause the computer to execute the parameter optimization method of the magnetic shielding layer as described in any of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0107] Those of ordinary skill in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples; under the concept of the present disclosure, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations in different aspects of the embodiments of the present disclosure as described above, and they are not provided in detail for the sake of brevity.

[0108] In addition, for the sake of simplicity of description and discussion, and in order not to make the embodiments of the present disclosure difficult to understand, the well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the accompanying drawings. In addition, the devices may be shown in block diagram form in order to avoid making the embodiments of the present disclosure difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which the embodiments of the present disclosure are to be implemented (i.e., these details should be fully within the understanding of those skilled in the art). In the case where specific details (such as circuits) are set forth to describe exemplary embodiments of the present disclosure, it will be apparent to those skilled in the art that the embodiments of the present disclosure can be implemented without these specific details or with variations of these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0109] Although the present disclosure has been described in connection with specific embodiments of the present disclosure, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art based on the foregoing description. For example, other memory architectures (such as dynamic RAM (DRAM)) can be used with the embodiments discussed.

[0110] The embodiments of the present disclosure are intended to cover all such alternatives, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure shall be included within the protection scope of the present disclosure.

Claims

1. A magnetic shielding layer, characterized in that: The device is disposed at a first relative position of the target object and surrounds the target object to reduce interference of a magnetic field of a target environment where the target object is located on the target object; The magnetic shielding layer comprises: Multiple local magnetic shielding areas, each local magnetic shielding area has a corresponding local magnetic shielding structure; wherein, at least two of the local magnetic shielding structures have different structural parameters, and the structural 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.

2. The magnetic shielding layer according to claim 1, characterized in that: The adjacent local magnetic shielding areas are connected mechanically, bonded or physically embedded.

3. The magnetic shielding layer according to claim 1, characterized in that: The plurality of local magnetic shielding areas include: A first local magnetic shielding region having a first local magnetic shielding structure, and a second local magnetic shielding region having a second local magnetic shielding structure; wherein a first structural parameter of the first local magnetic shielding structure is at least partially different from a second structural parameter of the second local magnetic shielding structure.

4. The magnetic shielding layer according to claim 1, characterized in that: The target local parameters of the local magnetic shielding area minimize the mass of the magnetic shielding layer while meeting the magnetic shielding requirements of the target object at the first relative position; wherein the target local parameters include the size of the local magnetic shielding area and the structural parameters of the corresponding local magnetic shielding structure.

5. The magnetic shielding layer according to claim 4, characterized in that: The size of the local magnetic shielding area corresponds to a regular shape and is determined based on a parameter value of an associated parameter at the local magnetic shielding area, the associated parameter being associated with a magnetic field distribution of the target environment.

6. The magnetic shielding layer according to claim 5, characterized in that: The parameter value in each of the local magnetic shielding areas is within the same preset range.

7. The magnetic shielding layer according to claim 5, characterized in that: The structural parameters are such that when the local magnetic shielding region satisfies the associated parameter constraint condition of the associated parameter in the local magnetic shielding region, the local mass of the local magnetic shielding region is minimized; The local mass comprises the sum of the local layer masses of all the local magnetic shielding layers in the local magnetic shielding area, and the local layer mass is determined based on the size, the shielding material corresponding to each layer, and the material thickness of each layer of shielding material.

8. The magnetic shielding layer according to claim 1, characterized in that: The first relative position is determined based on geometric parameters of the target object and spatial constraints imposed by the target environment on the target object.

9. The magnetic shielding layer according to claim 1, characterized in that: The number of layers of the shielding structure includes a single layer or multiple layers.

10. The magnetic shielding layer according to claim 1, characterized in that: The shielding material includes amorphous alloy, Permalloy, silicon steel sheet or industrial pure iron.

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