336 results about "Magnetic characteristic" patented technology

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 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.

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 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 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 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 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 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.

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.

The invention provides a treatment method and device for intelligently and comprehensively utilizing solid waste of a thermal power plant, and relates to the technical field of resource utilization of the solid waste of the thermal power plant, and the method comprises the steps that a multi-mode sensor array detects the particle size, components and magnetic characteristics of the solid waste in real time, and slag, fly ash and desulfurized gypsum are classified through a machine learning model; constructing a virtual model by means of digital twinning, optimizing a melting temperature parameter through deep reinforcement learning, uploading monitoring data to a cloud end through edge calculation, and triggering process adaptive adjustment; iron elements are recycled by a wet high-gradient magnetic separator, copper and aluminum metals are extracted by smelting reduction of non-magnetic slag, and a composite building material is prepared from residues or 5-25mm inert slag is used as a road base; rare metals such as vanadium, titanium and nickel are extracted from residual slag through acid leaching, leaching liquid is subjected to solvent extraction or ion exchange enrichment, processing data are stored through a block chain, and traceability of the whole life cycle is achieved. The comprehensive resource utilization rate of the solid waste of the thermal power plant is remarkably improved, and meanwhile the overall treatment energy consumption is reduced.

The invention belongs to the technical field of superconducting motor testing, and particularly relates to a background magnetic field simulation and testing device for motor superconducting coil quench detection and electromagnetic characteristic analysis. The device comprises an outer stator iron core, an inner stator iron core, an open type or closed type low-temperature container with a built-in superconducting coil device, and a device bracket, wherein the outer stator iron core and the inner stator iron core are coaxially arranged; the outer stator is composed of an outer stator iron core and a multi-phase armature winding embedded in a tooth groove of the outer stator iron core. The inner stator iron core is composed of an even-number-pole iron core salient pole and a pole shoe, and an air gap is formed between the two; the low-temperature container can be of an open structure or a closed structure, and can be flexibly selected according to different test requirements; symmetrical alternating current is introduced into the multi-phase armature winding of the outer stator to simulate the background magnetic field environment of the superconducting coil in motor operation, effective verification and quantitative analysis of the quench characteristic and the electromagnetic performance of the superconducting coil are realized, related tests can be completed without manufacturing a prototype, the experiment cost is remarkably reduced, and the safety and the reliability are improved.

The application discloses a natural gas pipeline stress detection method, device, equipment and storage medium, and belongs to the technical field of natural gas pipeline safety monitoring. The method comprises the following steps: establishing a saturated magnetic field in a target detection section of a natural gas pipeline; collecting magnetic flux density, spatial difference signals, internal pressure and temperature in the saturated magnetic field; correcting and interference suppressing the collected data; inputting the processed data into a magnetic-force coupling model to establish the correlation between the pipeline stress and the magnetic flux density and the magnetization parameters; sequentially compensating the magnetic flux density based on the temperature and the strain rate; and finally combining the correlation to construct an inversion cost function, inputting the compensated data to obtain the pipeline stress distribution of the target section. The application does not need to invade the inside of the pipeline, guarantees the stable correlation between the magnetic characteristics and the stress through the saturated magnetic field, eliminates the environmental and dynamic factor interference through double compensation processing, significantly improves the stress detection accuracy, and can provide data support for the safe operation and risk early warning of the natural gas pipeline.

The application relates to the technical field of function test, and discloses a stress measurement system for spring fatigue state, which comprises an excitation unit, a sensing unit and a signal processing unit. The excitation unit applies an alternating excitation magnetic field to the spring to generate a stress-modulated induced electromotive force signal. The sensing unit collects magnetic characteristic parameters by using a quadrature differential sensing structure. The signal processing unit obtains phase components in a tangential signal and a radial reference signal, calculates a dynamic spiral angle deflection based on a phase difference, determines a dynamic differential compensation coefficient to extract a tangential principal stress component and compensate for a magnetic flux leakage vector deviation. Through a space posture modulation and lift gap fluctuation suppression mechanism, the application realizes dynamic alignment of a sensor measurement main shaft and a spring stress tensor main shaft, effectively eliminates geometric deflection errors caused by large amplitude deformation, and ensures that the system has high signal-to-noise ratio and baseline stability under cyclic load.

A stator core (21) provided with a plurality of divided cores (30) is configured by stacking core pieces (40) made of electromagnetic steel sheets, the electromagnetic steel sheets being prescribed electromagnetic steel sheets, and either of the radial direction of teeth (41) of the core pieces (40) of at least one of the plurality of divided cores (30) and the extension direction of a core back (42) is along a direction in which the magnetic properties of the electromagnetic steel sheets are excellent.

The invention relates to the technical field of power system simulation, in particular to a twelve-phase synchronous motor VBR modeling method, which comprises the steps of motor grouping modeling; integrating a magnetic saturation effect; and interphase coupling modeling. The method has the advantages that the VBR model is successfully expanded to a twelve-phase (four-group three-phase) synchronous motor, the limitation that a traditional three-phase model and a traditional six-phase model cannot be directly applied to a high-phase-number asymmetric motor is overcome, the coordinate transformation problem caused by a complex winding structure is effectively solved through the multi-stator modeling framework and the projection matrix technology, and the method is suitable for large-scale popularization and application. An effective modeling solution is provided for high-phase-number motor simulation; by introducing a differential inductance matrix and a magnetization coupling matrix into a dq0 coordinate system, the model can accurately describe electromagnetic characteristics of the motor in different saturation states; the model considers the mutual coupling effect among all three-phase units, solves the problem that a traditional model is difficult to accurately simulate complex magnetic saturation and interphase coupling of a twelve-phase motor, and remarkably improves the simulation precision.

The invention belongs to the technical field of degaussing, and relates to a ship winding degaussing current solving method based on a gradient tensor, which comprises the following steps: acquiring the magnetic gradient tensor of a plane ship when coils are not electrified; respectively performing simulation electrification on the winding coils to obtain the magnetic gradient tensor of the electrified measurement plane; and calculating an efficiency matrix of the magnetic gradient tensor excited by the unit current. The gradient of the geomagnetic field is extremely small, direct detection of the magnetic gradient tensor of the ship and the electrified coil can better reflect the magnetic characteristics of the ship and the coil compared with detection of a magnetic vector, and better resolution is achieved for magnetic field changes caused by magnetic anomalies; under the motion platform, the magnetic gradient tensor is insensitive to the attitude angle error, and more accurate detection data can be obtained; in addition, the gradient tensor is weak in response to time-varying geomagnetic disturbance, and has higher anti-interference capability. Therefore, according to the method, the accuracy of ship magnetic field modeling and degaussing current calculation is improved, and the magnetic stealth performance of a ship facing high-sensitivity magnetic gradient detection equipment is enhanced.

Provided are a composite metal magnetic body, an inductor, a method for manufacturing a composite metal magnetic body, and a method for manufacturing an inductor that enable an improvement in magnetic characteristics. A composite metal magnetic body CP according to the present disclosure comprises metal magnetic particles DP containing Fe, Ni, and Al, and an insulating coating film (oxide coating film OL) covering the metal magnetic particles DP, wherein: the plurality of metal magnetic particles DP are bonded together by means of the insulating coating film; the metal magnetic particles DP have Al agglomeration regions A1 inside which Al is agglomerated; and a peak derived from an FeAl phase and a peak derived from an FeNi phase are present in X-ray diffraction.

A magnetic property acquisition unit detects an induced voltage caused by vibration of a measurement sample magnetized by an excitation electromagnet and acquires a magnetic property that indicates a relationship between a magnetic flux density and an external magnetic field. The magnetic flux density is a sum of magnetization of the measurement sample and the external magnetic field. When acquiring the magnetic property of the measurement sample to which pressure is being applied, a control device sets a first magnetic field value as a sweep start value, and performs sweeping with a magnetic field equal to or less than the first magnetic field value. The first magnetic field value is smaller than a second magnetic field value that is acquired before the pressure is applied to the measurement sample, and corresponds to a saturation magnetic flux density of the measurement sample to which the pressure is not being applied.

The application discloses a current transformer magnetic characteristic test system and method and a computer program product, wherein the system comprises an original data acquisition module, a data feature generation module, a quality index evaluation module, a high load performance test module and a threshold correction determination module; core parameters are obtained by dynamically adjusting a sampling strategy, a feature vector is generated after preprocessing, a multilayer convolutional neural network model is used to mine parameter nonlinear correlation and output a quality index; a quality evaluation correction value is generated by combining temperature rise and noise data under a high load condition, an evaluation threshold is dynamically corrected, and test result determination is realized. The application effectively solves the problems of high misjudgment rate of static threshold determination in the prior art, difficulty in capturing parameter nonlinear correlation and inability to predict long-term stability, significantly improves the precision and reliability of magnetic characteristic test, accurately predicts the long-term full-load operation stability of equipment, and provides a reliable basis for power system core equipment selection and safe operation.

This invention belongs to the field of magnetic material measurement technology, and particularly relates to a power amplifier gain control method and system for magnetic characteristic measurement. The method includes the following steps: calculating the instantaneous rate of change of magnetization impedance at each moment, where the instantaneous rate of change of magnetization impedance is positively correlated with the time derivative of the ratio of output voltage to excitation current; calculating the dynamic load margin at each moment, where the dynamic load margin is negatively correlated with the instantaneous rate of change of magnetization impedance and positively correlated with the difference between the power amplifier's supply rail voltage and output voltage amplitude; determining the gain scaling factor at each moment, where the gain scaling factor is positively correlated with the dynamic load margin and its value ranges between a set upper and lower gain limit; and using the gain scaling factor to adjust the drive voltage command in real time to control the power amplifier's output gain, which can effectively improve the accuracy of power amplifier gain control for magnetic characteristic measurement.

Provided are: a nanocrystal alloy soft magnetic powder which optimizes the particle shape and particle size distribution and exhibits good filling properties and magnetic properties; a dust core which contains the powder and has high magnetic permeability and low iron loss; a magnetic element; and an electronic device. The nanocrystal alloy soft magnetic powder is represented by the composition formula FeaCubNbc (Si1-x (B1-yCry) x) 100-a-b-c-dSd [a, b, c, d, x, and y satisfy 75.5 < = a < = 79.5, 0.3 < = b < = 2.0, 2.0 < = c < = 4.0, 0.001 < = d < = 0.080, 0.55 < = x < = 0.91, and 0 < = y < = 0.185, expressed in atomic ratio. [1, 2, 3], and an impurity composition, and contains crystal grains of 1.0 nm to 30.0 nm, a particle size D10 of 7.0 [mu] m to 15.0 [mu] m, and a particle size D50 of 22.0 [mu] m to 32.0 [mu] m.

The invention relates to the technical field of electromagnetic functional materials, and provides a frequency-band-adjustable ferromagnetic core-shell nanorod wave-absorbing material and a preparation method thereof.The preparation method comprises the steps that an iron oxyhydroxide precursor is prepared through a hydrothermal synthesis method, the iron oxyhydroxide precursor is reduced through a liquid-phase pyrolysis method, and nanorod-shaped ferroferric oxide is obtained; growing a carbon layer on the surface of the nanorod-like ferroferric oxide through a high-temperature sintering method to obtain the nanorod-like ferroferric oxide composite material coated with the ultrathin carbon layer; and carrying out orientation arrangement on the nanorod-like ferroferric oxide composite material coated with the ultrathin carbon layer through magnetic field control. According to the invention, cooperation of structural design and light weight, improvement, regulation and control of electromagnetic characteristics and improvement of electromagnetic wave absorption efficiency can be realized.