446 results about "Magnetic characteristic" patented technology

The invention provides an intelligent material damage diagnosis method and system based on magnetic characteristic data fusion, and relates to the technical field of nondestructive testing, and the method comprises the following steps: collecting magnetic characteristic data by using a magnetic stress detection robot; performing multi-scale decomposition on the data to construct a magnetic domain evolution characteristic spectrum; inputting the characteristic spectrum into a composite neural network to extract a material damage characteristic matrix; constructing a fusion feature vector by using tensor dimensionality reduction and a multilayer belief transfer network; and realizing damage calculation through temperature field modulation and self-adaptive weight distribution to obtain the damage grade and the residual life. According to the invention, accurate diagnosis of the material damage in the welding seam area of the pressure vessel is realized.

The invention relates to the technical field of magnetic ring detection, discloses a magnetic ring multi-dimensional nondestructive detection system and method based on multi-frequency composite electromagnetic excitation, and solves the defects of existing magnetic ring detection in the aspects of information acquisition, composite excitation and comprehensive diagnosis. The method comprises the following steps: applying multi-frequency composite excitation, and collecting and preprocessing multi-dimensional response; and extracting features, and carrying out deep learning fusion inversion to obtain magnetic characteristics, material components and defect information. The system comprises a composite excitation module, a multi-mode sensing module, a data acquisition preprocessing module, a data fusion inversion module and a control module. By adopting the technical scheme, comprehensive and efficient nondestructive detection of multi-dimensional electromagnetic information of the magnetic ring is realized, the existing limitation is overcome, and the detection precision and the comprehensive diagnosis capability are remarkably improved.

The invention relates to the technical field of scraper conveyors, in particular to a chain breakage fault pre-judging device and method for a scraper conveyor and the scraper conveyor, and the device comprises a controller, a first insertion plate and a first magnetic sensor fixed to the first insertion plate; a first opening is formed in a conveying groove of the scraper conveyor, the first inserting plate is inserted into the first opening and located on the side, close to a chain way, of the chain, and the first magnetic sensor is fixed to the first inserting plate and opposite to one side of the chain. In the running process of a chain of the scraper conveyor, the first magnetic sensor collects a first magnetic characteristic signal of a chain ring passing through the first magnetic sensor; the controller is connected with the first magnetic sensor, analyzes the damage state of the chain ring according to the first magnetic characteristic signal, and prejudges whether the chain ring is a chain breakage fault risk point or not based on the damage state. Therefore, the chain damage of the scraper conveyor is pre-judged in advance, so that the early warning and preventive maintenance of the chain breakage fault are realized, and the operation reliability and safety of the scraper conveyor are improved.

The invention relates to the technical field of rare earth waste recovery, in particular to a rare earth waste recovery process monitoring system and method based on industrial data processing, and the method comprises the steps: importing component composition data and magnetic characteristic data of rare earth waste in a rare earth waste magnetic separation process into a rare earth waste magnetic separation state analysis model; analyzing the magnetic separation state of the rare earth waste in the magnetic separation process of the rare earth waste; importing the equipment state data of the recovery equipment into the recovery equipment processing state analysis model, and analyzing the equipment processing state of the recovery equipment in the rare earth waste magnetic separation process; according to the rare earth waste magnetic separation state analysis result and the equipment treatment state analysis result of the recovery equipment in the rare earth waste magnetic separation process, the magnetic separation treatment benefit of the rare earth waste is evaluated; and according to the magnetic separation treatment benefit evaluation result of the rare earth waste, optimization early warning is conducted on the subsequent recovery process of the rare earth waste. And by analyzing the equipment state and sorting parameters, the rare earth treatment benefit is improved, and the equipment energy consumption cost is reduced.

The invention discloses a nonlinear correction method, device and equipment for excitation characteristics of a mutual inductor, and particularly relates to the technical field of mutual inductors. The method comprises the following steps: acquiring original data corresponding to a mutual inductor, wherein the original data comprises an original current signal, historical magnetic flux and distributed temperature data; performing noise reduction processing on the original current signal to obtain a purified current signal, and determining a magnetic conductivity correction coefficient and a temperature gradient according to the distributed temperature data; inputting the purification current signal and the magnetic conductivity correction coefficient into a hysteresis model to obtain a real-time magnetic flux, and inputting the purification current signal, the distributed temperature data, the temperature gradient and the historical magnetic flux into a magnetic flux correction network to obtain a magnetic flux correction value; and compensating the real-time magnetic flux according to the magnetic flux correction value to obtain a corrected magnetic flux result of the mutual inductor. According to the invention, multi-physical field fusion input can be realized, transient response can be improved, harmonic distortion compensation can be carried out, and high precision of data can be maintained.

There is provided a sheet-shaped magnetic member that easily suppresses deterioration of magnetic shielding characteristics for a circling coil. The sheet-shaped magnetic member of the present disclosure includes a plurality of magnetic sheet pieces each formed in an elongated shape and having anisotropy in which magnetic characteristics in a longitudinal direction and magnetic characteristics in a width direction intersecting with the longitudinal direction are different, in which the plurality of magnetic sheet pieces are radially arranged.

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 provides a method and device for calculating the electron spinning state of an iron-based biphase composite magnetic material, and relates to the technical field of magnetic materials. The method comprises the following steps: establishing a heterojunction model of a biphase composite magnetic material; according to the method, generalized gradient approximation in a density functional theory is adopted as an exchange-correlation functional, relaxation is carried out on atomic positions in a heterojunction model, so that the total energy of a system is the lowest, and geometric structure optimization is carried out on the heterojunction model; performing spin polarization calculation on the optimized heterojunction model to obtain spin upward state densities and spin downward state densities of different atoms in the heterojunction model, and analyzing electronic state distribution near a Fermi level; and quantitatively evaluating the magnetic characteristics of the heterojunction model according to the spin upward state density and the spin downward state density of each atom. According to the method, an interface magnetic coupling mechanism can be disclosed, and a theoretical basis can be provided for development of a high-performance magnetically controlled reactor iron core material.

The utility model relates to a lifting magnet, in particular to an automatic attracting and releasing lifting electric permanent magnet. Comprising an electro-permanent magnet, a trigger device, a manual control panel and a lifting connecting part, a containing chamber is arranged on the upper portion of the electro-permanent magnet, and an electrical control unit is arranged in the containing chamber; the triggering device is arranged at the top of the electro-permanent magnet, the lifting connecting part comprises a hanging bow, the two ends of the hanging bow are connected with the electro-permanent magnet, and external triggering implementation is provided for the triggering device; the triggering device receives external triggering implementation and sends out a triggering signal; the electrical control unit receives the trigger signal, detects the magnetic characteristic state of the electro-permanent magnet, generates magnetic control current to the electro-permanent magnet according to the trigger signal, and changes the magnetic characteristic state of the electro-permanent magnet to enable the electro-permanent magnet to be in a lifting or releasing state; and magnetic poles are arranged on the bottom working surfaces of the electro-permanent magnets. The suction device is simple in structure, safe in suction force, convenient to repair and maintain and capable of automatically sucking and releasing materials.

The invention discloses a permanent magnet brushless direct current motor and a parameter optimization method thereof. A rotor adopts a regular hexagon structure, and permanent magnets are alternately embedded into the rotor. Seven parameters such as the maximum thickness of a permanent magnet, a pole-arc coefficient and the width of a stator notch are selected for optimization, air gap flux density, no-load back electromotive force and no-load cogging torque are taken as optimization targets, a response surface model of a multi-objective function is constructed, parameter weights of the multi-objective function are determined in combination with a CRITIC weight analysis method, the motor parameters are optimized by adopting an improved MOEA / D algorithm, and the optimal parameters of the multi-objective function are obtained. And carrying out crossover variation on the population by directional variation guided by electromagnetic characteristics, and designing a weight vector optimization Chebyshev aggregation method to find an optimal iteration population. According to the weight in the Chebyshev aggregation function designed by the invention, the problems that the traditional Chebyshev aggregation method is not smooth enough for the continuous MOP problem and the obtained solution is not uniform are solved, and the distribution uniformity of the Pareto solution set is optimized. The method has obvious advantages in the aspects of convergence speed, solution set distribution and engineering feasibility.

The invention discloses a GIL electromagnetic property detection method and system based on field circuit-mechanical coupling, and the method comprises the steps: building an electromagnetic field-circuit-mechanical coupling mathematical model based on a circuit mathematical model through employing a stiffness matrix of a magnetic vector position, a stiffness matrix of a conductor eddy current, and a load matrix of a conductor conduction current; engineering sections are divided, a finite element two-dimensional simulation model is built, an equivalent external circuit is built, coupling connection is conducted through an external circuit port voltage matrix, and an electromagnetic property detection model of the GIL is obtained; performing iterative solution to obtain transient electromagnetic response of each engineering section, wherein the transient electromagnetic response comprises magnetic flux density, current density and node transient electromagnetic force; detecting whether electromagnetic response abnormity exists in the actual operation process of the GIL or not; and simulating the electromagnetic stress of the GIL component in the abnormal engineering section in the three-dimensional structure field by adopting harmonic response analysis, and checking the electromagnetic and mechanical characteristics of the GIL. According to the method, the electromagnetic characteristics of the GIL can be simulated more accurately, the applicability is wide, the operation speed is high, and guarantee is provided for GIL short-circuit fault monitoring and safe and stable operation.

The invention provides a special-shaped magnetic core and a manufacturing method thereof.The special-shaped magnetic core comprises a first magnetic core part, a second magnetic core part and a magnetic adhesive layer, the magnetic adhesive layer is bonded between the first magnetic core part and the second magnetic core part, and the magnetic adhesive layer comprises a plurality of magnetic powder particles, a resin adhesive base material and at least one spherical particle; the maximum size of any magnetic powder particle is smaller than the sphere diameter of one sphere particle, and the first bonding face of the first magnetic core part and the second bonding face of the second magnetic core part abut against the two radial opposite ends of one sphere particle respectively to form a bonding combination gap between the first magnetic core part and the second magnetic core part. The sphere diameter of the sphere particles ranges from 1 micrometer to 20 micrometers. The special-shaped magnetic core has the advantages of being small in size, good in consistency, good in magnetic property and low in production cost, so that the product quality is improved, and the requirement for product miniaturization is met.

To provide a coin identification device and a coin identification method that can accurately identify bimetallic coins with a simpler configuration.SOLUTION: A coin identification device includes: a magnetic sensor that includes a resonant coil and detects magnetic characteristics of a coin being conveyed; a first waveform generator that generates, from the output of the magnetic sensor, first waveform data representing a material feature, which is a feature that varies depending on the material of the coin; a first material detection unit that detects, from the first waveform data, a first material feature corresponding to the outer edge of the coin; a second material detection unit that detects, from the first waveform data, a second material feature corresponding to the center of the coin; and an identification processing unit that identifies coins based on the first material feature and the second material feature.SELECTED DRAWING: Figure 6

The invention discloses a method for non-destructively identifying the gender of a transformed young duck egg based on a singing tube nuclear magnetic image, and belongs to the technical field of poultry egg detection.The method comprises the steps that a low-field nuclear magnetic resonance technology is utilized, a breeding duck egg is positioned in a nuclear magnetic system, the optimal imaging section of a singing tube is determined, an image is collected and preprocessed, and a high-quality singing tube nuclear magnetic image is obtained; and through analyzing relaxation characteristics, inverting nuclear magnetic signals to identify a buzzer tube structure and extracting characteristics, finally constructing a gender decision-making model, and combining physical constraints to obtain a gender discrimination result as a sorting reference. According to the method, lossless, early-stage and high-accuracy sex identification is realized through a special imaging technology and algorithm by utilizing sex difference nuclear magnetic characteristics of a singing tube structure, hatching and breeding strategies can be optimized in laying duck and meat duck breeding, and intelligent development of the industry is promoted.

The invention relates to the technical field of electric digital data processing, in particular to an aging analysis method for a boiler dissimilar steel welded joint, and the method comprises the following steps: carrying out a performance test on the prepared dissimilar steel welded joint to obtain a performance test result; based on a performance test result, obtaining a first aging degree grading database corresponding to the nonlinear ultrasonic coefficient and the different aging degree data, and a second aging degree grading database corresponding to the magnetic characteristic parameter and the different aging degree data; and utilizing the first aging degree grading database and the second aging degree grading database to construct an aging degree grading database of the prepared dissimilar steel welding joint under different aging degrees. Therefore, the problems that in the related technology, component embrittlement, carbon migration, creep strength mismatch, residual stress concentration and the like of a fusion area are prone to occurring, safe operation of a unit is seriously threatened, and a dissimilar steel welding joint is high in non-uniformity, prone to cracking and the like are solved.

The invention relates to the technical field of receiver performance detection simulation, in particular to a receiver performance detection simulation system based on magnetic yoke magnetic resistance influence. The method comprises the following steps: firstly, receiving receiver design parameters and yoke reluctance influence parameters by using an input module; then, modeling is carried out by means of a deep coupling model in the modeling and simulation module, and the model comprises an electromagnetic-structural-acoustic multi-physics field model and a dynamic magnetic characteristic model based on machine learning; performing parameter calibration on the dynamic magnetic characteristic model in combination with an optimization algorithm and performance index feedback in a simulation process to obtain a receiver performance detection result; then, the analysis and prediction module performs robustness analysis on the performance of the receiver under the statistical distribution of the magnetic yoke characteristic parameters by using the magnetic yoke manufacturing tolerance model; the parameter correction module is used for correcting magnetic yoke magnetic resistance parameters by combining actual operation data of the receiver and a time sequence prediction model; and finally, the output module outputs the output result of each module. According to the invention, the accuracy of performance detection simulation of the receiver can be improved.

The invention discloses a fatigue damage positioning method for a metal material, which comprises the following steps: removing impurities attached to the surface according to pollutants and oxides on the surface of the metal material to obtain the cleaned metal material; measuring the physical characteristics of the cleaned metal material, establishing a material characteristic database, and determining an optimal detection scheme according to the conductivity and magnetic characteristics of the metal material in combination with a preset detection method selection rule; performing three-dimensional imaging on the interior of the metal material, extracting position and form information of a fatigue damage area according to a three-dimensional image, and generating a defect feature map; fusing the identified three-dimensional image data and the defect feature map to obtain fused multi-source heterogeneous data; training the fatigue damage positioning model and optimizing model parameters to obtain a trained fatigue damage positioning model; and inputting data of a metal material to be detected into the trained fatigue damage positioning model to obtain a fatigue damage positioning result of the metal material to be detected.

The invention provides an electromagnetic induction detection instrument for a plastic zone around a well. The electromagnetic induction detection instrument comprises a transmitting module, a receiving module, a probe supporting frame, a data transmission and communication module, a positioning module, a power module and an instrument shell. The instrument mainly works based on the electromagnetic induction principle, an alternating magnetic field is generated through the transmitting module, the magnetic field is spread in a stratum around a well, and when the magnetic field encounters a plastic deformation area, the electromagnetic property of the stratum can change, so that a secondary magnetic field is generated; and after the receiving module receives the secondary magnetic field signal, the signal is subjected to a series of processing, so that the relevant information of the plastic zone around the well can be determined. The instrument has the advantages of high efficiency, accuracy, real-time performance and the like, and can provide technical support for the fields of oil and gas development, underground engineering construction and the like.

The embodiment of the invention provides a spacecraft multi-layer near field method magnetic moment calculation method and device, and the method comprises the steps: determining the characteristics of a spacecraft, and determining the experiment arrangement of a magnetometer based on the characteristics of the spacecraft; wherein the magnetometer experiment arrangement comprises at least two layers; determining a magnetic moment conversion matrix based on magnetometer experimental arrangement; determining a magnetic moment result through a multi-layer near field method based on magnetometer experimental arrangement; a magnetic moment measurement is determined based on the magnetic moment conversion matrix and the magnetic moment result. Based on the multilayer near-field method and the magnetic dipole magnetic field model, optimization of the spacecraft multilayer near-field method magnetic moment calculation method can be realized, so that the magnetic characteristics of the spacecraft can be evaluated.

The invention relates to the technical field of magnetic separation, in particular to a roasting activation magnetic separation combined iron removal system which comprises a pretreatment module, a magnetic characteristic dynamic detection module, a magnetic field parameter self-adaptive matching module, a dynamic magnetic compensation module, a separation path optimization module and a cross-module cooperative control module. The sorting process is rehearsed through a virtual twinborn model, parameters are triggered to be reset synchronously, and particle agglomeration interference is restrained in combination with dynamic partition of a sorting cavity and a flexible electrode array. The modules achieve magnetic field dynamic adaptation, magnetic attenuation compensation and sorting path optimization through closed-loop cooperation, the problem that a static magnetic field is mismatched with non-uniform magnetic particles is effectively solved, and the medium magnetic particle capture efficiency, the iron element recovery rate and the concentrate grade are remarkably improved.

The invention discloses an experimental device for testing anisotropy of stress-induced magnetic Barkhausen noise, and the device achieves the adjustment of an included angle among a magnetic field, stress and an initial easy-magnetization axis in a tested material through the cooperation of a working time sequence of a disc rotation module, an excitation field rotation module and a uniaxial stretching device. The magnetic Barkhausen noise signals of all direction angles in the rotation process of the excitation field are tested through the magnetic detection instrument module, magnetic characteristic parameters are extracted, the change rule of the magnetic characteristic parameters along with the direction angles is drawn, and then the test result of the anisotropy of the magnetic Barkhausen noise is obtained. According to the combined technical scheme of uniaxial stretching and excitation field rotation along the diameter line of the disc, the influence rule of factors such as stress and rolling direction on the anisotropy of the magnetic Barkhausen noise can be finely tested in a single test piece.

The invention discloses a power transformer optimization design method considering iron core service magnetic characteristics. The power transformer optimization design method comprises the following steps: carrying out magnetic characteristic measurement on silicon steel sheets at different temperatures by adopting an advanced magnetic characteristic measurement device; through high-precision experimental measurement, a silicon steel material loss characteristic database covering a wide temperature range, multiple frequency bands and different magnetic densities is established; compiling a calculation program of the three-phase transformer considering the service characteristics of the iron core by adopting a C language and integrating an electromagnetic calculation process; and an improved genetic algorithm is adopted, and according to the single-target optimization mathematical model, the silicon steel material loss characteristic database is combined, and the improved genetic algorithm is utilized twice to obtain an optimal design scheme with the minimum power transformer cost and the minimum total loss as targets. The influence of actual working conditions on loss factors is considered, an advanced heuristic algorithm is adopted to replace a traditional optimization mode, and the problems that a traditional design method cannot consider the actual working conditions, and a traditional optimization algorithm is low in calculation efficiency are solved.

This soft magnetic metal powder has a high spheronization rate and excellent magnetic characteristics, and contains Fe, Co, and Ni.　Provided is soft magnetic metal powder containing Fe, Co, and less than 5 mol% (excluding 0 mol%) of Ni. The spheronization rate of the soft magnetic metal powder is 75% or more as calculated by the formula: (area / minimum circumscribed circle area) × 100. The soft magnetic metal powder has a crystallite diameter larger than 30 nm. The soft magnetic metal powder has an average particle diameter of 0.05-1.5 μm.

A wireless charging device according to one embodiment comprises two types of magnetic parts having different magnetic properties, wherein the two types of magnetic parts can be appropriately arranged to effectively disperse heat, generated during wireless charging, through the distribution of magnetic flux, and improve durability against external shock or distortion. Accordingly, the wireless charging device may be usefully used in a transportation means, such as an electric vehicle, that requires a large amount of power transmission between a transmitter and a receiver.

The invention relates to the technical field of low-temperature environment simulation and material characteristic test, in particular to a high-speed rail traction system fault diagnosis method based on electromagnetic parameter fusion, which is used for solving the problems of material electromagnetic characteristic test distortion and fault diagnosis algorithm verification deficiency in a high and cold environment. The method comprises the following steps: constructing a multi-physical field coupling test environment, simulating temperature cycle and humidity sudden change working conditions from-50 DEG C to + 80 DEG C, and synchronously acquiring dynamic parameters of resistivity, dielectric loss and magnetic conductivity; according to the method, the limitation of a traditional static test is broken through, the real representation of the material performance degradation rule is realized, a closed-loop verification system of laboratory and field data is constructed, and the performance of the material is verified. The accuracy and environmental adaptability of fault diagnosis in a high and cold environment are remarkably improved, and reliable guarantee is provided for safe operation of a traction system under an extreme working condition.

The invention discloses a broadband magnetic characteristic measuring device and system under temperature-biaxial stress cooperative loading. According to the measuring device, normal pressure is applied to the upper side of a rectangular sample through a jack with a force sensor and a display screen, horizontal pulling and pressing stress is applied through a motor with a force sensor and a hand wheel sliding table, the temperature is adjusted through a heater and a cast aluminum heating plate, and the measuring device is controlled through a measuring circuit of a measuring system. Multi-axis stress and temperature working condition simulation is achieved, magnetic characteristic data better fitting the actual working condition of the electrical equipment is obtained, and then optimization design of the electrical equipment is guided more accurately. The phenolic resin framework on the upper layer of the measuring device adopts a cover deep hole type structure, so that the H sensor of the measuring device is more convenient to replace and inspect, and in order to ensure the measuring accuracy, a double-layer H coil is used, so that the problem of inaccurate measurement possibly caused by the fact that a single-layer H coil is not tightly attached to a rectangular sample is solved.

This application relates to the field of motor technology, specifically to a stator assembly and a motor. The stator assembly includes: a stator core, comprising a stator yoke and multiple stator teeth, the multiple stator teeth being spaced circumferentially along the inner surface of the stator yoke, with a receiving groove formed between two adjacent stator teeth, the receiving groove having an opening located at the end of the receiving groove away from the stator yoke; and a cover, which is disposed on the opening, and the cover is a magnetically conductive material. By configuring the cover as a magnetically conductive material, the cover has magnetically conductive characteristics. Utilizing the magnetically conductive characteristics of the cover, the air gap magnetic permeability distribution is made more uniform, thereby effectively reducing the harmonic content of the air gap magnetic field and thus reducing eddy current losses.

This invention discloses a modeling method for a proxy model of a permanent magnet synchronous motor under eccentric conditions. First, a mathematical model of the eccentric motor proxy model is established, including the permanent magnet flux linkage and no-load back EMF, flux linkage model, voltage model, electromagnetic torque, and torque balance equations. Then, no-load back EMF, permanent magnet flux linkage, and dq-axis inductance data are obtained through finite element simulation, and harmonic fitting is performed on the permanent magnet flux linkage. Next, a multi-dimensional parameterized lookup table covering eccentricity type and degree, speed, torque, and rotor position angle is constructed. The lookup table and interpolation algorithm are integrated into the simulation platform to form a high-fidelity proxy model module that can be called in real time. Finally, the model accuracy is verified by comparison with finite element simulation and experimental data. This invention achieves high-precision and rapid mapping of the electromagnetic characteristics of eccentric motors, balancing modeling accuracy, efficiency, and versatility.

The present invention can provide a non-oriented electrical steel sheet having improved surface properties and magnetic properties, and another aspect provides a method for manufacturing the non-oriented electrical steel sheet.

The present application belongs to the field of magnetic nanoparticle measurement, and particularly relates to a high-sensitivity magnetic nanoparticle spectrometer and a waveform signal conversion method thereof, and aims to solve the problem that the dynamic magnetic characteristics of low-concentration magnetic nanoparticles cannot be quantitatively evaluated in the prior art. The present application comprises a driving module, a switching module, a current sampling module, a band-pass filtering module, a rectifying module, a current control module, a voltage adjustment module, a coil matching module, a coil assembly, a receiving coil signal processing module, a signal acquisition analog block, and a main control calculation module. According to the target current demand, the coil matching module can be flexibly edited, and further, the control signal for driving the coil can be automatically generated according to the matched driving circuit and the target waveform, wherein the data acquisition-processing link can restore the waveform and obtain the original spectrum of the magnetic particles through the built-in calculation steps. At the same time, the current compensation loop contained in the present application can compensate the current error caused by factors such as coil temperature rise, parameter drift of the matching module, and change of the on-resistance of the switching module, so as to ensure the constant output of the target harmonic current.