275 results about "Electromagnetic noise" patented technology

The invention discloses a ground resistance remote online monitoring method and system based on a mobile terminal, and relates to the technical field of ground resistance monitoring, and the method comprises the steps: obtaining a natural electromagnetic noise signal collected by the mobile terminal through a built-in sensor, and calculating a preliminary estimation value of ground resistance according to a preset model; according to the preliminary estimation value and the environmental parameters, using a machine learning algorithm to predict the optimal sampling frequency and time window under the current monitoring condition, and forming a dynamic adjustment mechanism; based on a dynamic adjustment mechanism, multiple mobile terminals are used for cooperative measurement, position information is synchronized and shared through a wireless network, and a virtual quadrupole measurement topological structure is constructed; based on the virtual quadrupole measurement topological structure, one part of the mobile terminals transmit test signals, the other part of the mobile terminals receive response signals, and the optimal sampling frequency and time window are combined to invert and generate a space resistance distribution diagram of the grounding grid; historical monitoring data, a space resistance distribution diagram and real-time environment parameters are combined.

The invention relates to a magnetotelluric noise suppression method based on ResAtt-CAE, and the method comprises the steps: generating a noise-free signal, adding a noise type into the noise-free signal to construct a noisy signal, and enabling the noisy signal to be matched with the corresponding noise-free signal to form a training set and a test set; designing a ResAtt-CAE model architecture, and realizing cross-level feature fusion by adopting a symmetric structure and jump connection; the ResAtt-CAE model architecture is trained and optimized through the training set and the test set, and the magnetotelluric noise is suppressed through the optimized ResAtt-CAE model architecture. The method is high in noise suppression capability: ResAtt-CAE captures cross-time scale signal features through multi-scale residual learning, enhances effective signal weights in combination with a time domain attention mechanism, and has a remarkable suppression effect on common magnetotelluric noise (square waves, harmonic waves, pulses, triangular waves and the like).

The invention discloses an electromagnetic field simulation method under the coupling action of tidal waves and sea waves. The method comprises the steps that input parameters of the tidal waves and the sea waves are set; configuring environmental parameters and geomagnetic conditions; superposing the tidal wave velocity field and the sea wave disturbance velocity field to form a total velocity field; the tidal wave part and the sea wave part are linearly coupled in time and space to obtain a tidal wave-sea wave coupling field evolved along with a tidal phase; in the tidal wave-sea wave coupling field, electromagnetic response calculation is executed on each frequency-direction sampling point; general field synthesis and modulation effect analysis: introducing a tidal wave modulation factor to clearly reflect amplitude periodic change and spectrum reconstruction characteristics of an electromagnetic field signal along with a tidal phase; and outputting a time sequence, an amplitude spectrum and a spatial distribution result of the comprehensive electromagnetic field. According to the method, the authenticity and applicability of sea wave induction electromagnetic field simulation can be improved, and a new technical means is provided for electromagnetic noise recognition, sea wave parameter inversion and complex ocean dynamics process research.

The invention relates to the technical field of signal processing, and discloses an anti-interference electrically tunable wave trap operation control method and system, and the method comprises the steps: collecting an input signal of an adjustable wave trap group, and employing adaptive Kalman filtering to dynamically suppress strong electromagnetic noise to construct a reinforcement learning state vector, and generating an optimal action instruction of the tuning module by using the deep Q network reinforcement learning model so as to control the tuning module to perform parameter adjustment on the adjustable wave trap group, and finally updating and adjusting the deep Q network reinforcement learning model and the adaptive Kalman filtering based on an actual effect index. Therefore, the electrically tunable wave trap high-precision operation control method based on adaptive Kalman filtering and depth Q network depth collaboration is constructed, the electrically tunable wave trap can be helped to stably maintain high-precision wave trapping performance in a scene of complex dynamic interference and strong noise superposition, and the performance of the electrically tunable wave trap is improved. And many limitations of the traditional scheme in the aspects of interference adaptation, precision control, multi-frequency coordination and stability are thoroughly solved.

The application discloses a heat dissipation assembly for reducing electromagnetic noise of a chip, a chip packaging assembly and electronic equipment. The heat dissipation assembly comprises a heat sink, a sealing ring and a suppression ring; the suppression ring is connected between the sealing ring and the heat sink and is used for surrounding the chip; the heat dissipation assembly is used for jointly surrounding a substrate carrying the chip to form a closed space, so that the chip is located in the closed space; and the suppression ring is used for shielding electromagnetic waves radiated by the chip.

The invention relates to the technical field of high-voltage circuit breaker monitoring, and discloses a high-voltage circuit breaker contact wear intelligent online detection and fault prediction system. The system comprises a contact wear online detection module, a data acquisition and processing module, a wear degree intelligent analysis module, a fault risk prediction module, an alarm and output module, a data storage and management module and a user interaction module. When online detection is carried out on the wear state of the contact of the high-voltage circuit breaker, electrical, mechanical and thermal parameters of the contact are synchronously acquired through a multi-sensor fusion technology, and adaptive filtering and optimization are carried out on an original detection signal by adopting a wavelet transform and Kalman filtering multi-stage signal processing algorithm; influences of electric arcs and electromagnetic noise instantaneous strong interference on detection signals can be suppressed, the accuracy of calculation of contact resistance and stroke key parameters of the contact is guaranteed, the accuracy of contact abrasion state evaluation is improved, and evaluation errors caused by signal interference are reduced.

The invention discloses a high-precision identification method and system for a noise source of an asynchronous motor, and relates to the technical field of asynchronous motor detection, and the method comprises the following steps: constructing a finite element model of a to-be-analyzed asynchronous motor, dividing the surface into a plurality of detection sub-regions, and carrying out the operation simulation of the finite element motor, analyzing vibration speed and sound pressure signal data of each sub-region, synchronously acquiring actual signals, calculating relative differences with simulation data, evaluating detection priorities by combining historical fault times, forming a detection sequence according to the priorities, and sequentially performing sound-vibration coherence analysis and coherence function calculation to obtain a sound-vibration coherence detection result; according to the method, noise frequency bands are classified into structural noise and air noise, order tracking analysis is performed on the structural noise obtained through classification, an amplitude stability index and an amplitude change gradient are calculated, automatic classification and identification of electromagnetic noise and mechanical noise are realized based on a preset threshold value, and the efficiency and accuracy of fault processing are remarkably improved.

The invention discloses a motor fault diagnosis method and a motor controller. The method comprises the following steps: acquiring a near-field electromagnetic noise audio signal and a vibration acceleration signal of a motor shell when a motor runs; performing short-time Fourier transform on the near-field electromagnetic noise audio signal, and extracting an original electromagnetic voiceprint feature vector representing an internal electromagnetic state of the motor; the vibration acceleration signal is used as a modulation source, amplitude modulation processing is carried out on the original electromagnetic voiceprint feature vector, and a modulated electromagnetic voiceprint feature vector is generated; performing time domain coherence calculation on the original electromagnetic voiceprint feature vector and the modulated electromagnetic voiceprint feature vector to generate a two-dimensional electromagnetic-mechanical voiceprint interference map; and inputting the electromagnetic-mechanical voiceprint interference atlas into a convolutional neural network CNN, and outputting a final motor fault diagnosis result. According to the embodiment of the invention, the method can improve the discrimination of fault features, and achieves the high-precision diagnosis of motor faults under a complex working condition.

The invention discloses a laser cutting machine tool security early warning system based on multi-parameter analysis, which relates to the technical field of laser cutting equipment and comprises a front-end sensing layer, a core processing layer and an early warning distribution layer, the front-end differential conditioning circuit is matched with the electric-optical-electric optical fiber transmission link, a high-frequency radiation path of the laser generator and the servo motor is cut off in a physical layer, millisecond-level real-time stripping of dynamic electromagnetic noise is achieved, the problem of weak sensing signal distortion is fundamentally solved, and the detection precision is improved. And meanwhile, the characteristic frequency of the servo motor is stripped in combination with variational mode decomposition, so that the reconstructed monitoring signal has an extremely high signal-to-noise ratio, the crossing from simple early warning to intelligent diagnosis is realized through collaborative analysis of current, vibration and optical data, the risk of mistaken shutdown caused by interference is greatly reduced, the machining continuity is guaranteed, and the working efficiency is improved. And the data transmission delay is greatly reduced, and the security of the equipment is protected to the greatest extent in cooperation with the multi-stage synchronous notification of the early warning distribution layer.

Provided is an electromagnetic noise countermeasure member that can reduce resonance of a noise countermeasure member even when vibration occurs at a mounting portion of the noise countermeasure member. An electromagnetic noise countermeasure member (1) that is mounted to a prescribed portion by a mounting member (60) and is secured by a securing member (63) that constitutes the mounting member, the electromagnetic noise countermeasure member including: a magnetic core for surrounding a periphery of an electric wire; and a holding member (10, 50) for holding the magnetic core to an inner surface thereof, the securing member being made of metal, an insertion opening (22) for inserting the securing member being formed in the holding member, and an elastic member (30) being mounted, the elastic member securing the securing member that is inserted into the insertion opening and being elastically deformed by vibration of the securing member.

The application relates to the technical field of motor noise reduction, in particular to a motor noise reduction method for a portable fan. The handheld fan is internally provided with a driving motor. The method comprises the following steps: obtaining motor noise generated by the portable fan during operation; the motor noise comprises mechanical vibration noise, electromagnetic noise and aerodynamic noise of the driving motor; when the signal strength of the motor noise is greater than a preset strength threshold, generating a noise control instruction based on the motor noise; generating and emitting noise reduction signals for the mechanical vibration noise, the electromagnetic noise and the aerodynamic noise based on the noise control instruction, so as to perform destructive interference on the motor noise. The motor operation noise level is reduced through active noise reduction and accurate processing of the fan motor noise.

The invention provides a self-adaptive denoising method based on Meyer wavelets and an improved smooth threshold function in order to solve the problem that a transformer partial discharge high-frequency current sensor field calibration signal is seriously polluted by field electromagnetic noise interference. The method comprises the following steps: firstly, arranging a standard sensor according to an optimal cross-core distance to obtain an original noisy signal; then adaptively determining a decomposition series according to a data length, selecting Meyer wavelets to perform multi-scale decomposition, performing smooth contraction on wavelet coefficients by adopting a continuously derivable, progressive and unbiased improved threshold function, and finally reconstructing a high signal-to-noise ratio verification signal through wavelet inverse transformation; the method does not need manual intervention of the threshold value, keeps orthogonality and high-order derivability in the whole process, and is beneficial to improving the accuracy of the verification result of the high-frequency sensor to be tested.

This invention provides a non-destructive testing method and apparatus for defects in ferromagnetic pipes, belonging to the field of pipe inspection. The method includes: acquiring a voltage signal, which is obtained by converting the capacitance change signal continuously collected by the bipolar capacitor as the ferromagnetic pipe and the upper and lower semi-circular bipolar capacitor move at a constant axial velocity relative to each other; extracting time-domain and frequency-domain features from the voltage signal; and determining the defect type and location based on the voltage signal and the extracted features. The extracted features include time-domain and frequency-domain features; the time-domain features include the signal standard deviation, coefficient of variation, and density of local extrema; and the frequency-domain features include the dominant frequency component and harmonic energy ratio. This method utilizes the physical property that the dielectric constant of a ferromagnetic pipe differs depending on whether it has defects or not, enabling the detection of defects deep within the component. It effectively avoids interference from various environmental electromagnetic noises, ensuring the accuracy of the detection results, and eliminates the need for point-by-point scanning, resulting in higher detection efficiency.

The invention discloses a gas insulation cabinet partial discharge monitoring method and device based on edge calculation, and relates to the technical field of gas insulation cabinets. The method comprises the following steps: collecting environmental data and background electromagnetic noise signals of the gas insulation cabinet, calculating an environmental noise correlation coefficient by using a maximum information coefficient method, combining an environmental deviation value to obtain a comprehensive environmental disturbance index, and correcting a preset background noise threshold value to obtain a corrected noise threshold value; if the real-time electric signal amplitude exceeds the corrected noise threshold, marking the data as partial discharge signal data; denoising the partial discharge signal data by adopting an improved ensemble empirical mode decomposition adaptive noise method, and extracting a discharge feature vector; calculating the mahalanobis distance of each feature vector in the discharge feature vector sequence, obtaining the discharge similarity, obtaining a homologous discharge link, extracting the feature data of the homologous link, inputting the feature data into a BP neural network model based on a dung beetle optimization algorithm, outputting the type of partial discharge, and carrying out the early warning, thereby achieving the monitoring of the partial discharge of the gas insulation cabinet.

This invention relates to a charging port device for electric or hybrid vehicles. The charging port device includes a charger inlet, a support adapted to support the charger inlet, and a circuit board including a controller. The controller is configured to send and receive data related to the charging process for charging the vehicle battery. The charging port device is a single-unit device. In this way, a reduction in electromagnetic noise is advantageously achieved.

The invention discloses an NVH strategy construction method for a control strategy of a motor controller, and relates to the field of vibration noise prediction, and the method comprises the steps: obtaining the electromagnetic noise order of a motor body, and generating the electromagnetic noise order O1 of a motor; acquiring a switching frequency noise order of the controller, and generating a switching frequency noise order O2 of the motor; according to the electromagnetic noise order O1 of the motor and the switching frequency noise order O2 of the motor, generating an actual operation safety coefficient sigma 1; obtaining a preset target threshold value, and judging whether the safety coefficient sigma 1 is greater than the preset target threshold value or not; if yes, it is judged that the risk of coupling amplification of the switching frequency noise and the electromagnetic noise of the motor body does not exist; if the safety coefficient sigma 1 is smaller than the preset target threshold value, it is judged that the risk that the switching frequency noise and the motor body electromagnetic noise are coupled and amplified exists, and the smaller the safety coefficient sigma 1 is, the higher the risk is; and according to a judgment result, optimizing the noise when the switching frequency noise order coincides with the electromagnetic noise order of the motor body.

The utility model relates to the technical field of high-voltage power supplies, in particular to an electromagnetic shielding type high-voltage power supply, which increases the sealing effect, prevents water and impurities outside the high-voltage power supply from entering a power supply shell, reduces electromagnetic noise or interference, and protects normal operation of equipment and a system. Comprising a power source shell, a covering assembly, fixing and pressing assemblies, a sealing assembly, a shielding assembly and a heat dissipation assembly, electronic components are arranged in the power source shell, the covering assembly is located at the top of the power source shell, the fixing and pressing assemblies are installed on the side walls of the front end and the rear end of the power source shell and fix the covering assembly, and the sealing assembly is installed between the bottom of the covering assembly and the power source shell. A shielding assembly is installed in the power source shell, and a heat dissipation assembly is installed in the power source shell.

1. The name of the design product: voiceprint camera support. 2. The use of the design product: used for installation on the back of the robot, used in the substation, through the high-sensitivity microphone array to capture the mechanical wave and electromagnetic noise when the equipment is running, and then use the AI algorithm to convert these sound waves into a spectrum diagram to identify the fault characteristic frequency. 3. The design points of the design product: in the shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1.

Energy supply system (100) with: - a first battery (20); - a second battery (23); - a voltage converter (10) with several switching elements (31, 32, 33, 34), wherein the switching elements (31, 32, 33, 34) are designed to bidirectionally convert a voltage between the first battery (20) and / or the second battery (23) and an output line (26) and to switch a connection between the first battery (20) and the second battery (23) to the output line (26) between a series and a parallel connection; and - a controller (60) designed to switch the multiple switching elements (31, 32, 33, 34) on or off in accordance with pulse width modulation control, wherein - the output line (26) has a first electrical line (12) and a second electrical line (11) of lower potential than the first electrical line (12), - the multiple switching elements (31, 32, 33, 34) have a first, second, third and fourth switching element (31, 32, 33, 34) which are connected in series from the first to the second electrical line (12, 11), - the first battery (20) is connected in parallel to the third and fourth switching elements (33, 34), - the second battery (23) is connected in parallel to the second and third switching elements (32, 33), - the controller (60) then, if a total high-level period, which is a total period of a first high-level period and a second high-level period, is shorter than a duty cycle period, is designed to control phases of pulse-width modulation control signals such that the first high-level period and the second high-level period do not overlap, in order to reduce noise by bringing the frequency of the electromagnetic noise of the voltage converter outside the range audible to humans, wherein the first high-level period is a high-level period of a first pulse-width modulation control signal for controlling a first voltage conversion of a first voltage conversion circuit formed between the first battery (20) and the output line (26),the second high-level period is a high-level period of a second pulse-width modulation control signal for controlling a second voltage conversion of a second voltage conversion circuit formed between the second battery (23) and the output line (26), and the duty cycle period is a total period of low-level periods of the pulse-width modulation control signals and a corresponding number of high-level periods of the pulse-width modulation control signals.

The invention provides a variable working condition electromagnetic noise characteristic analysis method for a vehicle high-speed permanent magnet synchronous driving motor, which is used for designing a simulation analysis and experiment test sequence based on a multi-accelerator load working condition, and carrying out simulation and entity system test in a full rotating speed range aiming at a harsh noise order generated in the operation of the high-speed motor. The noise sound pressure level under the corresponding load working condition and the change rule of the noise sound pressure level along with the load working condition and the rotating speed can be effectively extracted according to results obtained through simulation and testing. An analysis result obtained on the basis of the method can be used for NVH performance optimization design of the electric driving system of the electric vehicle, and therefore the requirements of the vehicle in actual operation can be better met.

This invention discloses a multi-source electromagnetic noise suppression method based on noise classification and deep learning, belonging to the field of geophysical electromagnetic exploration technology. The method includes: segmenting and preprocessing the original electromagnetic observation sequence; using an improved U-Net network with an encoder embedded in a Mamba time-series modeling module for low-frequency noise suppression; identifying strong noise types in the data segments using a ROCKET classifier; based on the classification results, calling a second improved U-Net network trained for the corresponding noise type for class-based targeted denoising; and finally, splicing the data segments to obtain complete, high-quality data. This invention, through a phased processing framework of "low-frequency pre-suppression—noise classification—class-based denoising," combined with the strong time-series modeling capabilities of the Mamba module and the efficient classification performance of ROCKET, significantly improves the suppression accuracy and signal fidelity for complex, multi-source electromagnetic noise, and is particularly suitable for processing ground and airborne electromagnetic exploration data.

Some embodiments are directed to a brain scanning system including one or more noise generators configured to generate an electromagnetic noise field, the noise generator being arranged for positioning in proximity to the subject's head, wherein during operation of the brain scanning system the generated electromagnetic noise field interacts with the brain's electromagnetic field, resulting in an interfered noise signal.

The application discloses an anti-interference blade end timing sensor and an anti-interference method for a high-speed rotating blade, belongs to the technical field of sensors, and solves the problem that the real-time anti-interference capability of the existing method is weak, so that the reliability of the blade end timing signal of the blade in a dynamic environment cannot be guaranteed, and comprises a differential processing module, an adaptive filtering module, an anti-attenuation compensation module and a front-end evaluation module; in the application, common-mode electromagnetic interference and mechanical vibration interference are effectively suppressed through the virtual differential method of the differential processing module and the generation of a derived reference signal, and the signal distortion problem of the high-speed rotating blade in a strong electromagnetic and high-vibration environment is solved; meanwhile, the adaptive filtering module can further suppress high-frequency vibration noise and electromagnetic noise, and through variational modal decomposition and NLMS filter dynamic optimization, the signal signal-to-noise ratio is guaranteed, and the method is suitable for high-speed and high-noise working conditions.

A converter arrangement (10A) comprises at least one first string of electrically interconnected modules (12A, 14A, 16A, 18A, 20A, 22A) and a first shield and a second shield (24A, 26A), wherein the first shield (24A) is connected to a first defined potential and placed adjacent to a first group of modules (G1A) in said first string comprising at least one first module (14A), and the second shield (26A) is connected to a second defined potential and placed adjacent to a second group of modules (G2A) in said first string comprising at least one second module (18A), wherein, in operation, a resonance loop is created from the first module (14A) via the first and second shields (24A, 26A) and the second module (18A) back to the first module (14A), and the converter arrangement further comprises a damping unit (32A) in the resonance loop, said damping unit being arranged to damp electromagnetic noise.

The utility model relates to a low-noise inductor, which belongs to the technical field of inductors and comprises a mounting plate, the top of the mounting plate is fixedly connected with a shielding cover, and a substrate is embedded in the top end of the mounting plate. The inductor has the advantages that the shielding cover outside the inductor body is of a structure with a plurality of shielding layers, each layer is made of conductive materials, electromagnetic interference can be effectively shielded, magnetic materials such as ferrite are embedded in the shielding cover outside the inductor body, the materials have a good electromagnetic shielding effect, and the electromagnetic shielding effect is good. The common-mode noise is reduced and the consistency and symmetry of the winding are ensured in a mode of symmetrically winding the annular inductor, and in the aspect of optimization of a packaging structure, a flip chip technology is adopted, a chip is directly welded on a substrate, and the length of a lead and parasitic inductance are reduced, so that the packaging structure can be optimized without remarkably increasing the size and the cost. The electromagnetic noise of the inductor is effectively reduced by improving the packaging material and process, and the overall performance and reliability of the inductor are improved.

The invention discloses an anti-theft sound-light alarm system and method for power distribution equipment, and relates to the technical field of safety protection, and the method comprises the following steps: collecting an electromagnetic noise signal, a flash driving rhythm signal and a wireless communication time sequence signal of an operation site of the power distribution equipment; and performing synchronous processing on the electromagnetic noise signal, the flash driving rhythm signal and the wireless communication time sequence signal according to a unified time scale to generate synchronous observation data. Through multi-source signal synchronous acquisition and frequency correlation analysis, real-time identification of electromagnetic interference resonance frequency points and phase deviation is realized, a noise source is accurately positioned, and communication stability is kept. Dynamic adjustment is carried out through time rhythm adjustment data, random micro-jittering of flash driving signals, communication process breathing mutual exclusion and sliding dark window control are achieved, and therefore frequency resonance is restrained, signal synchronization is recovered, and the anti-interference and real-time response capacity of an alarm system is improved.

The invention belongs to the technical field of electric power, and discloses a low-radiation coaxial cable, which sequentially comprises an inner conductor (1), an insulating layer (2), a shielding body (3) and an outer sheath (4) from inside to outside, and is characterized in that a part for reducing outward radiation of the inner conductor (1) is also arranged between the inner conductor (1) and the outer sheath (4) and comprises a network cable unit, and the outer sheath (4) is arranged in the outer sheath (4). Each network cable unit is composed of eight discrete network cable sub-bodies (5), and each network cable sub-body (5) is composed of a network cable conductor (51) and an insulating sleeve (52) wrapping the network cable conductor. The invention further discloses a manufacturing method. The method has the following main beneficial technical effects that the method is low-carbon and environment-friendly, the construction and production efficiency is improved, and the influence of external electromagnetic noise is effectively reduced.

This suppresses the leakage of electromagnetic noise from the outer conductor. [Solution] The shield connector A comprises an L-shaped inner conductor 21 connected to a circuit board P, and an outer conductor 30 having a housing space 43 for housing the inner conductor 21. The outer conductor 30 is constructed by assembling a first shell 31 and a second shell 36. A partition wall 50 is formed on one of the pair of mating surfaces 45, 46 of the first shell 31 and the second shell 36 that are close to each other and face each other, on the first mating surface 45, so as to separate the housing space 43 from the outer surface of the outer conductor 30. A groove 51 is formed on the other of the pair of mating surfaces 45, 46, on the second mating surface 46, into which the partition wall 50 is fitted.

The invention relates to the technical field of electric energy conversion control, in particular to a frequency adjusting method and system of a switching power supply. According to the invention, a multi-dimensional state information base is constructed by scanning a preset frequency interval and synchronously acquiring magnetic core response, system power consumption and electromagnetic noise data, so that frequency bands with unqualified performance can be pre-screened and isolated based on hard constraint conditions of power consumption and noise; it is ensured that follow-up frequency selection is always carried out in a safe and compliant range, on this basis, through accurate calculation and sorting of the hysteresis loop width of available frequency points, an initial working point with the lowest magnetic core loss can be positioned, deep optimization of energy conversion efficiency is achieved, and more importantly, in the power supply operation process, the energy conversion efficiency is greatly improved. Dynamic changes of magnetic core loss can be monitored in real time, closed-loop feedback is formed, loss deviation is converted into dynamic correction on working frequency, and the switching power supply can actively adapt to external condition changes such as load fluctuation or temperature drift.

The present application belongs to the field of magnetic functional materials and components, and relates to high-frequency electromagnetic interference suppression technology, in particular to an integrated thin film noise suppressor. The present application divides the magnetic thin film into layers, integrates multiple layers of soft magnetic thin film on the transmission line through the isolation of the insulating layer, realizes the suppression of noise through the magnetic loss of the soft magnetic thin film, and can form an integrated thin film noise suppressor with single frequency point or multiple frequency points in the frequency range of 0-6GHz. The present application provides an optional scheme for further satisfying wideband electromagnetic noise suppression by adjusting the type or thickness of the magnetic film material according to actual needs. The present application has the advantages of simple structure and process, integrability, high performance, wide frequency band and high applicability.