44 results about "Magnetic impedance" patented technology

The invention discloses an intelligent monitoring system for an assembled net rack shear structure, and relates to the technical field of net rack structure health monitoring. A fiber grating sensor, an ultrasonic array, an electromagnetic coil and an energy assembly are integrated through a sensor integration module and a modular support; optical fiber strain, ultrasonic signals and electromagnetic impedance data are collected in real time; after the feature fusion module extracts key features through preprocessing, a fusion feature vector is obtained through an adaptive manifold projection fusion method; the shear force value prediction module takes the fusion feature vector as input, and obtains a shear force value prediction model through training by using an LSTM (Long Short Term Memory) model; and the net rack judgment module is combined with a DBSCAN algorithm to divide neighbor sensor network groups, and is used for judging the structure defect type based on a local anomaly concentration ratio LAC and an overall cooperative change rate GCR. According to the system, intelligent monitoring of the fabricated net rack shear structure is realized, and the monitoring precision and the defect identification accuracy are improved.

The invention relates to a metal surface defect identification method and device based on artificial intelligence, equipment and a medium. The identification method comprises the following steps: synchronously acquiring an electromagnetic impedance signal and an optical image of a metal surface based on an eddy current sensor and an industrial camera; generating a spatially positioned interference area mask by quantifying cross-physics field interference intensity of the electromagnetic gradient and the optical edge feature; performing skin effect compensation on an electromagnetic signal by using the mask, and simultaneously performing shadow suppression on an optical image to realize physical field decoupling; a double-branch neural network is called to fuse the decoupled electromagnetic impedance features and optical texture features, and cross-modal associated joint feature expression is established; and analyzing the defect probability heat map based on the fused features, and outputting defect types and coordinates in combination with geometric feature matching. According to the method, the problem of defect feature mixing caused by mutual interference of electromagnetic-optical signals is solved, and the recognition precision and the positioning reliability of the micro defects are remarkably improved.

The invention relates to the technical field of vacuum induction heating temperature control, and discloses a vacuum induction heating temperature closed-loop control system integrated with SCADA (supervisory control and data acquisition), which is characterized in that a functional material layer with preset Curie temperature is compounded on the surface of an induction coil, and the absolute value of phase difference is analyzed by collecting voltage and current signals of the coil in real time; according to the invention, through the synergistic effect of the electromagnetic impedance sudden change characteristic of the functional material layer and the phase difference detection mechanism, non-contact accurate control of the phase change critical temperature of the workpiece is realized; and meanwhile, due to the coupling application of the asymmetric micro-pulse waveform design and the dynamic adjustment strategy, the contradiction between thermodynamic response and electromagnetic interference in a vacuum environment is effectively balanced, and the control precision and stability of the system are remarkably improved.

To increase output signal strength when detecting foreign matter on the basis of a signal output from a sensing element configured to sense a magnetic field through the magnetic impedance effect.SOLUTION: A detection device is provided, comprising a sensing element containing a soft magnetic material, having a longitudinal direction and lateral direction, exhibiting uniaxial magnetic anisotropy in a direction intersecting the longitudinal direction, the sensing element being configured to sense a magnetic field through the magnetic impedance effect; first and second guiding members provided to face each other in the longitudinal direction with the sensing element in between to guide magnetic field lines to the sensing element; and an application member for applying a bias magnetic field to the sensing element. The detection device detects foreign matter present on a side opposite the sensing element with respect to the first guiding member, and the printing member is provided on a side opposite the sensing element with respect to the first guiding member.SELECTED DRAWING: Figure 6

The invention discloses an amorphous wire stress-electromagnetic coupling effect modeling method based on a micro-magnetism theory, and belongs to the technical field of magnetic materials and electromagnetic property regulation and control. According to the method, an amorphous wire micro-magnetic three-dimensional simulation model is constructed, solving is conducted through a finite element method, cross-scale simulation of magnetic domain structure evolution of the amorphous wire under the action of external stress is achieved, the change of effective magnetic conductivity of the amorphous wire under the action of different stress fields is further calculated, the skin effect and the magneto-impedance theory are fused, and the magnetic conductivity of the amorphous wire is calculated. And establishing an amorphous wire electromagnetic impedance spectrum model. According to the method, a quantitative mapping relation among the effective magnetic conductivity, the electromagnetic impedance characteristic and the external stress is established, a magnetic domain structure under the action of different stress fields can be deduced, and key parameters such as the effective magnetic conductivity and the electromagnetic impedance spectrum are output; theoretical guidance is provided for wide application of the amorphous wire in the fields of high-sensitivity stress sensing device design, broadband adjustable electromagnetic wave absorption / shielding, self-sensing composite material structure health monitoring and the like.

The invention relates to a design method of a zero sequence current transformer, and belongs to the technical field of transformers. According to the technical scheme, the method comprises the steps that the number of turns N2 of a secondary winding, load impedance Z2n, the total impedance Z2 of a secondary loop, a power factor angle phi 2 of the secondary loop, excitation impedance Z0 and an iron core loss angle theta are calculated, then known primary current I1 and the number of turns N1 of the primary winding are substituted into a formula, the secondary output voltage U2 can be calculated, and if U2 is not within the error range of the rated secondary output voltage U2n, the load impedance Z2n and the total impedance Z2 of the secondary loop are calculated. And all parameters need to be adjusted for recalculation, so that the error requirements are finally met. According to the design method, design errors possibly occurring in conventional current transformer error calculation are avoided. The cost can be reduced, and the performance requirement can be met when the structure is limited.

The invention discloses terahertz wave-absorbing foam based on magnetically-induced gradient distribution carbon nanotubes and a preparation method, and belongs to the technical field of photoelectric materials and devices. The terahertz wave-absorbing foam comprises a porous framework and a wave-absorbing agent distributed in the porous framework, wherein the porous skeleton is a PDMS matrix with holes, the wave-absorbing agent is MWCNT modified by Fe3O4 nanoparticles, and the mass percentage of the wave-absorbing agent in the wave-absorbing foam is 3-7wt%. The dielectric constant of the wave-absorbing foam is regulated and controlled by controlling the concentration of the MWCNT modified by the Fe3O4 nanoparticles, and the concentration of the MWCNT can be guided to be distributed in a longitudinal gradient manner by using an external magnetic field, so that surface electromagnetic impedance matching is realized, and finally reflection suppression and absorption enhancement of electromagnetic waves are completed; meanwhile, large-area preparation can be realized by using white granulated sugar as a sacrificial template, and the method is suitable for industrial production.

The present invention relates to a magnetic sensor. The object of the present invention is to improve the sensitivity of a magnetic sensor utilizing the magnetoimpedance effect. The solution of the present invention is a magnetic sensor characterized by comprising: a non-magnetic substrate; a sensing element provided on the substrate, the sensing element containing a soft magnetic body and having a long side direction and a short side direction, the sensing element having a uniaxial magnetic anisotropy in a direction intersecting the long side direction and sensing a magnetic field through the magnetoimpedance effect; and a protruding portion protruding from an end portion of the long side direction of the sensing element, the protruding portion containing a soft magnetic body.

The invention provides a large-scale generator outlet side PT primary winding turn-to-turn short circuit on-line monitoring method, which comprises the following steps: measuring a primary winding current through a primary current measuring device additionally arranged at a generator terminal voltage transformer PT, and inputting the primary winding current into a protection device; measuring the current of the secondary winding, the current of the open delta winding and the secondary voltage by using a protection device; virtual excitation current and virtual excitation voltage are calculated through a protection device according to measured data, secondary winding resistance detected in an offline mode and the known number of turns of a PT winding, virtual excitation impedance is further calculated, the module value of the virtual excitation impedance is taken, and the module value of the machine end PT virtual excitation impedance is obtained; the impedance module value is used as a monitoring index through the protection device, when the impedance module value is between the low-section fixed value and the high-section fixed value, an alarm is given, stator grounding protection is closed, and when the impedance module value is lower than the low-section fixed value, the stator grounding protection action is allowed. The method effectively improves the sensitivity of PT on-line monitoring, is easy to implement, and can find an insulation fault at the early stage of the fault.

The present invention relates to a magnetic sensor. The object of the present invention is to improve the sensitivity of a magnetic sensor utilizing the magnetoimpedance effect. The solution of the present invention is that a magnetic sensor (1) is provided with a non-magnetic substrate (10), and a sensing element (30) provided on the substrate (10), the sensing element (30) comprising a soft magnetic layer (101) of an amorphous alloy with Co as the main component, having a saturation magnetization of 300 emu / cc or more and 650 emu / cc or less, and the sensing element (30) having a long side direction and a short side direction, having uniaxial magnetic anisotropy in a direction intersecting the long side direction, and sensing a magnetic field by the magnetoimpedance effect.

The application discloses a kind of permanent magnet auxiliary synchronous reluctance motor control method and system considering eddy current reaction, method includes, based on vector magnetic circuit theory, construct the motor magnetic impedance model considering eddy current reaction effect, magnetic saturation effect and dq axis cross-coupling effect;Calculate armature winding magnetic motive force and permanent magnet magnetic motive force of interpolation ferrite;Based on magnetic motive force and the motor magnetic impedance model, obtain stator flux linkage equation;Based on the stator flux linkage equation and voltage equation, construct the permanent magnet auxiliary synchronous reluctance motor control model of multi-factor coupling;Based on vector magnetic circuit theory magnetic-electric power law, measure the magnetic induction coefficient value in motor magnetic impedance model;Based on the multi-factor coupling motor control model, design permanent magnet auxiliary synchronous reluctance motor maximum torque current ratio control method.The application quantitatively considers that eddy current in permanent magnet auxiliary synchronous reluctance motor reacts on stator flux linkage, with clear physical meaning and higher modeling accuracy, is favorable to the performance improvement of control system.

The present invention discloses a method for modeling an equivalent magnetic network and calculating eddy current losses of a flux-switching permanent magnet motor. The method comprises the following steps: establishing an equivalent magnetic network model, wherein the equivalent magnetic network model of the flux-switching permanent magnet motor consists of four branches: an iron core magnetic impedance branch, a permanent magnet magnetic reluctance magnetic potential source branch, an armature winding magnetic potential source branch, and an air magnetic reluctance branch; correcting the magnetic resistance value of the iron core magnetic impedance branch using an extrapolation method based on the B-H curve of the iron core material; and correcting the magnetic induction value of the iron core magnetic impedance branch using an iterative method based on the eddy current effect of the iron core material. In the process of solving the equivalent magnetic network model of the flux-switching permanent magnet motor, a real-domain WZ decomposition method and a successive super-relaxation iteration method are used to simplify and accelerate the solution process of the complex equation system established by the nodal magnetic potential method. The present invention can quickly and accurately evaluate the torque performance and eddy current losses of the flux-switching permanent magnet motor, effectively shortening the calculation time in the motor analysis and design stage.

A magnetic field measuring apparatus for measuring a to-be-measured magnetic field includes a magnetic impedance element with an impedance change rate that changes depending on the to-be-measured magnetic field, a drive signal providing section and a measurement range setting section. The drive signal providing section provides a drive signal to the magnetic impedance element. A measurement range setting section sets a measurement range in which the to-be-measured magnetic field can be measured. A relationship between the to-be-measured magnetic field and the impedance change rate is arranged to change depending on a frequency of the drive signal. The measurement range setting section is arranged to set the measurement range by setting the frequency.

The invention discloses an electromagnetic shielding effectiveness evaluation method, and particularly relates to the field of electromagnetic shielding of nanocrystalline strips, comprising the following steps: establishing an interface electromagnetic resonance model based on a detected nanocrystalline strip composite material, the interface electromagnetic resonance model being used for analyzing electromagnetic wave reflection and scattering effects of the nanocrystalline strip composite material; the influence of the interface resonance frequency and the electromagnetic impedance matching on the shielding effectiveness is quantified; the nanocrystalline strip composite material is formed by compounding a nanocrystalline strip and other materials; the coupling mechanism of electromagnetic energy transmission in the nanocrystalline strip composite material is analyzed based on the contribution of the interface polarization effect, impedance matching and different material characteristics to energy loss. The shielding effectiveness of the nanocrystalline strip composite material is evaluated by constructing an interface electromagnetic resonance model and combining an energy coupling mechanism, a shielding performance prediction model and a genetic algorithm optimization process, so that the problems that the material combination performance cannot be accurately predicted and the composite proportion is difficult to optimize in the prior art are solved.

A magnetic field detection sensor with: a magnetic impedance element designed to exploit a magnetic impedance effect; a bias coil designed to apply a bias field to the magnetic impedance element; an oscillator circuit designed to apply an alternating current to the magnetic impedance element; a differentiating circuit designed to differentiate an output signal of the magnetic impedance element; a flip-flop circuit configured to output a high-level signal and a low-level signal based on a trigger signal output by the differentiating circuit; and a computing unit configured to detect an external magnetic field based on a time course with high and low of the high-level signal and low-level signal output by the flip-flop circuit, wherein the magnetic field detection sensor is configured to detect the external magnetic field based on an output signal obtained by applying the alternating current to the magnetic impedance element, the magnetic impedance element comprises a non-magnetic substrate and a magnetic layer provided on a surface of the non-magnetic substrate, wherein a magnetic field detection direction coincides with a longitudinal direction of the magnetic impedance element and the magnetic layer is configured to have magnetic anisotropy such that a direction of an axis of its easy magnetizability coincides with the magnetic field detection direction, and The computing unit is configured to send a reset signal to the flip-flop circuit at the time of a drop in an AC bias frequency, and to detect the external magnetic field based on the duration of an initial high-level signal following the reset signal.

The invention provides an electronic component automatic arrangement method based on path planning, and the method comprises the steps: obtaining an electromagnetic impedance field, a thermal conductivity field and a mechanical stress field of an electronic component, constructing a dynamic impedance field, simulating the deployment of a virtual electronic component, simulating the fractal growth rule of a biological blood vessel according to the dynamic impedance field, and carrying out the automatic arrangement. And performing path optimization on the virtual electronic component arrangement path based on an ant colony-crystallization hybrid algorithm to obtain an optimized arrangement path, performing path dimension folding on the optimized arrangement path based on a topological transformation rule and the arrangement folding control information set to obtain an automatic arrangement result of the virtual electronic component, and performing automatic arrangement on the virtual electronic component. And importing the electromagnetic conflict factor, the thermal stress index and the mechanical deformation rate of the virtual electronic component into a pre-trained arrangement conflict model, generating a conflict probability cloud picture, performing arrangement elastic solution based on the conflict probability cloud picture, obtaining an optimized automatic arrangement result, and improving the accuracy of automatic arrangement of the electronic component.

This invention relates to an artificial intelligence-based method, apparatus, device, and medium for identifying metal surface defects. The identification method comprises: simultaneously acquiring electromagnetic impedance signals and optical images of a metal surface using an eddy current sensor and an industrial camera; generating a spatially located interference region mask by quantifying the cross-physical field interference intensity of electromagnetic gradients and optical edge features; using the mask to compensate for the skin effect of the electromagnetic signals and simultaneously suppressing shadows in the optical images to achieve physical field decoupling; fusing the decoupled electromagnetic impedance features and optical texture features using a dual-branch neural network to establish a joint feature representation with cross-modal correlation; and analyzing the defect probability heatmap based on the fused features and combining geometric feature matching to output the defect type and coordinates. This method solves the problem of mixed defect features caused by mutual interference between electromagnetic and optical signals, significantly improving the identification accuracy and positioning reliability of micro-defects.

The present invention provides a composite material for an absorbing structure. The absorbing material comprises, arranged in descending order from top to bottom, a thermal insulation layer, a wave-transmitting layer, a magnetic loss absorbing layer, a reflective layer, and a bearing layer. The magnetic loss absorbing layer comprises multiple magnetic impedance matching layers, the thickness of which increases from the wave-transmitting layer toward the reflective layer. The composite material for an absorbing structure prepared in the present invention exhibits excellent absorbing performance, with an overall electromagnetic wave reflectivity of less than -10 dB, and even less than -15 dB at specific frequencies. Furthermore, the composite material exhibits a tensile strength of 30 MPa or greater, a compressive strength of 100 MPa or greater, a thermal conductivity of 0.6 W / m·K or less, and a linear ablation rate of 0.7 mm / s or less, demonstrating excellent mechanical strength and high-temperature resistance.

The present invention relates to the technical field of vacuum induction heating temperature control, and discloses a vacuum induction heating temperature closed-loop control system integrated with SCADA, comprising: compounding a functional material layer having a preset Curie temperature on the surface of an induction coil, analyzing the absolute value of the phase difference by real-time acquisition of the coil voltage and current signals, and activating a micropulse power compensation mode and dynamically adjusting the output parameters when the phase difference exceeds a threshold. The present invention achieves non-contact precise control of the critical temperature of the phase change of a workpiece through the synergistic effect of the electromagnetic impedance mutation characteristics of the functional material layer and the phase difference detection mechanism. At the same time, the coupled application of asymmetric micropulse waveform design and dynamic adjustment strategy effectively balances the contradiction between thermodynamic response and electromagnetic interference in a vacuum environment, significantly improving the control accuracy and stability of the system.

The invention provides a magnetic core and a preparation method thereof, a transformer and a preparation method thereof, and electronic equipment. The magnetic core comprises a magnetic core body, the side wall of the magnetic core body is provided with an air gap, and the air gap spirally extends from the first end of the magnetic core body to the second end of the magnetic core body in the length direction of the magnetic core body. The depth of the air gap is smaller than the radius of the magnetic core body. According to the magnetic core, the magnetic impedance is effectively reduced, so that the saturation resistance of the magnetic core is improved, the loss is effectively reduced, the transformer has the characteristic of low loss in a high-frequency working state, and miniaturization design is facilitated.

The invention relates to a non-unpacking verification method for industrial tool management equipment. The method comprises the following steps: acquiring a receiving request containing a target tool model identifier and calling a verification reference set; collecting a frequency deviation curve generated when the packaging box passes through the multi-axis coil and a shielding timestamp sequence of a photoelectric node, and converting a transient magneto-impedance module value curve after vector synthesis into a spatial domain electromagnetic integral quantity in combination with the passing speed; obtaining an axial passing length according to the shielding timestamp sequence; collecting the total mass of the packaging box; the spatial domain electromagnetic integral quantity is substituted into a regression model to deduce and predict the metal quality, and then the estimated packaging quality is calculated by combining the total quality; and performing comprehensive judgment based on the spatial domain electromagnetic integral quantity, the axial passing length, the total mass and the estimated packaging quality, and outputting a verification signal. The method has the advantages that the model and the integrity of the internal cutter can be accurately verified on the premise that the package is not damaged, and environmental interference factors such as package damp and falling postures are eliminated.

The invention discloses an excitation surge current identification method and system based on a time sequence early classification algorithm, and the method comprises the steps: collecting the electrical quantity of each side of a transformer, and extracting the characteristic quantities of different dimensions, such as second harmonic, waveform symmetry degree, time domain equivalent impedance, phase current change rate, and the like through analyzing the phase current, differential current, excitation impedance and the like of each side; according to the method, actual data and a large amount of simulation data are fused to establish a data set, and a magnetizing inrush current identification model based on a time sequence early classification algorithm is trained, so that magnetizing inrush current is identified, and a basis is provided for latching protection of a transformer. According to the method, waveform analysis is performed in a sliding time window mode based on an excitation surge current identification model, a classification result is obtained by taking a half power frequency period as a sliding step length and result updating analysis data, and meanwhile, credible confidence is obtained based on a multi-confidence fusion method, so that the final state of the transformer is judged. And the method can be well combined with the existing protection logic.

The utility model discloses detection equipment for electronic parts, which relates to the technical field of detection equipment and comprises a rack, a transmission mechanism and a detection mechanism. The conveying mechanism is used for conveying products; the detection mechanism comprises a static electricity removing assembly, a labeling assembly, a code scanning assembly, a voltage withstanding detection assembly, a resistance detection assembly, a ring magnetic impedance detection assembly and a capacitance detection assembly, the static electricity removing assembly is used for removing static electricity of products, the labeling assembly is used for labeling the products, the code scanning assembly is used for scanning codes of the products, and the resistance detection assembly is used for detecting the capacitance of the products. The withstand voltage detection assembly is used for carrying out withstand voltage detection on a product, the resistance detection assembly is used for carrying out resistance detection on the product, the ring magnetic impedance detection assembly is used for carrying out ring magnetic impedance detection on the product, and the capacitance detection assembly is used for carrying out capacitance detection on the product; according to the utility model, one or more of a certain product can be detected, the detection of different performances of different products can be adapted, the versatility is high, and the detection performance is comprehensive.

According to various implementations, an apparatus for electromagnetic impedance spectrographic characterization of a material under test (MUT) includes: a planar array of at least two electrodes configured to be placed in electromagnetic communication with the MUT, wherein during operation of the planar array, at least one of the electrodes comprises a transmitting electrode for transmitting an electromagnetic signal over a range of frequencies through the MUT to at least one receiving electrode in the planar array; and a backer ground plate at least partially surrounding the at least two electrodes, the backer ground plate being electrically grounded and insulated from the at least two electrodes, wherein the backer ground plate extends from a plane formed by the at least two electrodes and separates the at least two electrodes to create an electrically isolated volume proximate to the at least two electrodes.

A magnetic sensor includes: a non-magnetic substrate; and a sensitive element 31 having a longitudinal direction and a short direction, provided with uniaxial magnetic anisotropy in a direction crossing the longitudinal direction, and sensing a magnetic field by a magnetic impedance effect, wherein the sensitive element 31 includes plural soft magnetic material layers 105a to 105d and plural non-magnetic material layers 106a to 106c configured with a non-magnetic material and laminated between the plural soft magnetic material layers 105a to 105d, and the soft magnetic material layers 105a to 105d facing each other with each of the non-magnetic material layers 106a to 106c interposed therebetween are antiferromagnetically coupled.

Embodiments of the present disclosure relate to devices and methods for detecting impurities in semiconductor processing tools in real time. The real-time detection / analysis of the electromagnetic impedance and resonant frequency behavior can provide specific information about an ion / particle / chemical and / or a fingerprint in the semiconductor process.

The present invention discloses a coreless transformer based on the principle of virtual relative magnetic permeability, comprising a primary circuit, a secondary circuit, and an intermediate multi-circuit; the primary circuit comprises a primary coil and a sinusoidal voltage source that provides energy to the transformer, and the sinusoidal voltage source and the primary coil are connected in series; the secondary circuit comprises a secondary coil and a load resistor, and the secondary coil and the load resistor are connected in series; there is no core connection between the primary coil and the secondary coil; the intermediate multi-circuit refers to no less than one intermediate circuit, each intermediate circuit comprises an intermediate coil and an intermediate capacitor, and the intermediate coil and the intermediate capacitor are connected in series. Without using an iron core, the primary coil, the secondary coil, and each intermediate coil are coupled to each other only through the magnetic field in the air. Based on the principle of virtual relative magnetic permeability, the present invention proposes for the first time the overall resonance condition of multiple intermediate coils, achieving the effect of increasing the excitation impedance and reducing the excitation current.

The invention provides a pilot frequency current transformer error analysis method, relates to the technical field of power system measurement, and provides a pilot frequency current transformer error analysis method for solving the problem that an error analysis result has limitation in the prior art. Injecting a high-frequency current signal in a non-contact coupling mode; measuring the waveform of the response current under each frequency after the signal is injected, calculating the amplitude and the phase angle, and calculating the total impedance of the secondary loop based on the frequency corresponding to the injected current signal and the detected response current; the total impedance of the secondary circuit is split into two parallel impedance models, namely an excitation impedance model and a load impedance model which are connected in parallel, the excitation impedance and the load impedance are separated, and equivalent parameters are solved respectively; and drawing an error curve. According to the non-contact high-frequency signal injection method, an existing loop structure is not damaged, the error analysis precision is improved, and a basis is provided for metering performance optimization and fault diagnosis.

The invention discloses a concentric magnetic integrated transformer type controllable reactor additionally provided with symmetrical magnetic leakage iron cores, and belongs to the technical field of reactors. The reactor comprises a magnetic integrated iron core, a winding and a silicon controlled rectifier module, the magnetic integrated iron core is of a two-window structure, the upper side and the lower side of each window are symmetrically provided with a leakage magnetic iron core set, the whole magnetic integrated iron core is internally provided with four leakage magnetic iron core sets, and each leakage magnetic iron core set is composed of a plurality of leakage magnetic iron cores arranged along the window. The leakage magnetic iron cores located on the same layer in the four leakage magnetic iron core sets bear a winding together, the winding on the innermost layer is wound on the main iron core column, and the winding is electrically connected with the silicon controlled rectifier module. According to the structure, the high magnetic leakage impedance provided by the magnetic integrated iron core is used for equivalently replacing discrete reactors connected in series with branches, meanwhile, the original electrical isolation capacity of the multi-winding transformer is kept, the overall structure of the system is remarkably simplified, and the manufacturing cost and the operation loss are effectively reduced.

The present application provides a magnetic core and a preparation method thereof, a transformer and a preparation method thereof, and an electronic device; the magnetic core comprises a magnetic core body; wherein an air gap is arranged on the side wall of the magnetic core body, and the air gap spirally extends from the first end of the magnetic core body to the second end along the length direction of the magnetic core body; and the depth of the air gap is less than the radius of the magnetic core body. The magnetic core effectively reduces the magnetic impedance, thereby improving the anti-saturation ability of the magnetic core, and effectively reduces the loss, so that the transformer has a low loss characteristic under high-frequency working state, and is conducive to miniaturization design.