44 results about "Magnetic parameter" patented technology

This invention discloses a multi-channel electromagnetic induction detection method and system based on uniform magnetic field constraint. A uniform magnetic field is constructed within the detection area of ​​the structure under test. Electromagnetic induction response signals are acquired through multiple channels under the constraint of the uniform magnetic field, and the spatial coordinates of each acquisition channel are marked. The raw electromagnetic induction signals acquired by each channel are preprocessed, including noise reduction filtering, envelope extraction, and amplitude normalization. A deep learning model is then used to extract structural features from the preprocessed multi-channel electromagnetic response signals. Based on the spatial position information of each acquisition channel, magnetic field uniformity parameters, and response characteristics, a channel correlation weight matrix is ​​constructed to describe the spatial consistency and physical coupling relationships between channels. A multi-channel joint optimization model is constructed, and the equivalent electromagnetic parameter distribution inside the structure under test is reconstructed through iterative solution. This invention improves the reliability, repeatability, and engineering applicability of electromagnetic induction detection results.

The invention relates to the technical field of electromagnetic valve manufacturing and quality detection, and discloses an online detection system for the pressing force of a valve element of an electromagnetic valve, and the system comprises a composite magnetic field excitation module, a multi-physical field signal acquisition module, a multi-dimensional feature resolving module and a force value estimation output module. A composite magnetic field is applied to a valve element, and an induced voltage signal, a Hall signal and a temperature signal are synchronously collected; then, three characteristic quantities of harmonic amplitude, instantaneous magnetic field intensity and instantaneous temperature are calculated; and finally, inputting the three characteristic quantities into a preset multi-dimensional mapping model, and calculating to obtain a pressing force estimated value. The invention aims to solve the problem of low measurement accuracy caused by the fact that the existing single electromagnetic parameter detection is easily interfered by temperature and excitation field fluctuation. And through multi-physical field signal fusion and multi-dimensional feature compensation, the influence of disturbance factors is effectively eliminated, and the accuracy, stability and anti-interference capability of online detection are remarkably improved.

This invention belongs to the field of electrical digital data processing technology, specifically relating to a multi-objective optimization method for improving motor torque performance. The method includes: establishing a parameterized model of the motor; extracting geometric harmonic prior features based on the harmonic analysis principle of the motor's air gap magnetic flux density, and using these as a screening criterion to obtain an initial high-quality sample set; constructing a Kriging surrogate model reflecting the mapping relationship between design variables and performance response, introducing an energy efficiency boundary risk function during the construction process; based on the Kriging surrogate model, using a multi-objective optimization algorithm to search for a Pareto front solution set, selecting potential sample points from the Pareto front solution set for simulation verification, and then adaptively updating the Kriging surrogate model until the stopping criterion is met, at which point the target motor design parameters are output. This invention can achieve accurate optimization of electromagnetic parameters by screening samples through geometric harmonic prior features and utilizing the energy efficiency boundary risk function.

The application belongs to the technical field of magnetic parameter measurement, and discloses a device and a calculation method for testing magnetic force in each direction between permanent magnets. The device uses an electric sliding table and a vertical sliding table to construct a three-dimensional motion platform, and collects the magnetic force of a tile-shaped permanent magnet under different spatial displacements in real time through a sensor. The device can not only meet the force testing needs of the inner / outer rotor permanent magnet under the axial, radial and tangential misalignment states, but also can adapt to different sizes of the inner / outer rotor permanent magnet by adjusting the clamp. Meanwhile, the magnetic force calculation method proposed by the application takes the equivalent magnetic charge model under the cylindrical coordinate system as the theoretical basis, and accurately solves the three-dimensional magnetic force of the inner / outer rotor permanent magnet under any spatial relative position through quadruple integration. With the help of the testing device and the calculation model proposed by the application, the precise measurement and theoretical verification of the magnetic force in each direction of the permanent magnet can be realized, the calculation is simple, and the degree of coincidence is high. The testing and calculation method has engineering universality and convenience.

The invention discloses a permanent magnet synchronous linear motor optimal current control method based on a magnetic equivalent circuit model, and the method comprises the steps: considering the nonlinear behavior of a motor, building an accurate MEC model suitable for a PMLSM for a stator part, an air gap part and a rotor part through the electromagnetic quantity of the motor, and building an electromagnetic parameter and thrust balance equation; therefore, an accurate motor thrust expression is obtained, and an optimal current control strategy considering thrust accuracy and coil copper loss minimization is further designed based on the motor thrust expression. According to the MEC model and the corresponding optimal current control strategy, the calculation burden can be reduced on the basis that the model precision is ensured, meanwhile, accurate control over the position and thrust is achieved, the optimal current strategy can further reduce copper loss and improve the efficiency of the system, and high research value and application value are achieved.

This application discloses a method and apparatus for obtaining coil electromagnetic parameters. The method includes: obtaining second-level parameters of a superconducting maglev train; the second-level parameters include the levitation force and guiding force characteristics generated by the vehicle and the figure-eight coil, the drag characteristics generated by the vehicle and the figure-eight coil, and the traction force characteristics of the vehicle; determining third-level parameters of the superconducting maglev train based on the second-level parameters; the third-level parameters include the centerline dimensions of the superconducting magnetic poles, the distance between the centerline and the figure-eight coil, the distance between the centerline and the stator coil of the linear motor, the magnetomotive force of the superconducting magnetic poles, the pole pitch of the superconducting magnetic poles, the coil operating temperature, and the overcurrent and over-limit safety margin of the superconducting coil; and determining the coil electromagnetic parameters of the superconducting magnet based on the third-level parameters; the coil electromagnetic parameters include the coil operating current and the coil dimensions of the superconducting magnet. This application provides a modular design method for coil electromagnetic design, which facilitates continuous iteration and optimization between different parameter indicators.

The purpose of this invention is to provide a testing device for the electromagnetic properties of thin film materials based on a re-entrant coaxial resonant cavity, belonging to the field of electromagnetic parameter testing technology for microwave and millimeter-wave materials. The device comprises three parts: a re-entrant coaxial resonant cavity, a sample fixture, and a support base. By placing samples at the locations of strongest electric and magnetic field intensity within the resonant cavity, the complex permittivity and permeability of the thin film material can be measured. The testing of the complex permittivity and permeability of the sample is completed using only one device. Simultaneously, the sample placement gap does not interrupt the electric field lines, thus not affecting the field distribution within the cavity. This allows the device to maintain the high quality factor of the resonant cavity while reducing the cavity volume, concentrating the electric field within the resonant cavity mainly in the capacitively loaded region, improving the testing bandwidth, sensitivity, and accuracy, and reducing the requirements for sample size.

The application discloses a gravity-magnetic-electric comprehensive parameter exploration method for hot dry rock identification, and comprises the following steps: S1, acquiring gravity-magnetic-electric inversion parameters corresponding to a survey area in space, and performing grid processing on the gravity-magnetic-electric inversion parameters; S2, performing standardization processing on the grid inversion parameters; S3, calculating correlation coefficients of the density parameter and the magnetic parameter respectively by taking the resistivity as a main parameter; S4, calculating gravity-magnetic-electric comprehensive parameters; and S5, analyzing and interpreting the gravity-magnetic-electric comprehensive parameters. Through analyzing the gravity-magnetic-electric comprehensive parameters, the hot dry rock identification and delineation can be provided with higher exploration accuracy, so that the problems of low hot dry rock identification accuracy and strong randomness of identification are solved.

The invention discloses an induction heating optimization method and system based on numerical simulation. The method comprises the following steps: S1, establishing a three-dimensional geometric model comprising an induction coil, a workpiece and a magnetizer; s2, electromagnetic parameters and thermal field parameters are set based on the three-dimensional geometric model; s3, performing grid division on the three-dimensional geometric model; s4, operating an electromagnetic-thermal sequential coupling solver, calculating transient distribution of an electromagnetic field and a temperature field based on the parameters set in S2 and the grids generated in S3, dynamically updating material attributes according to the current temperature field in each time step, and performing iterative solution; and S5, processing the field distribution data obtained by solving in the step S4, generating a visual result and extracting key performance indexes. According to the invention, the distribution of the magnetic field and the temperature field can be accurately optimized, and meanwhile, extremely high heating efficiency, excellent temperature uniformity and excellent process controllability are realized.

The invention provides a lightning stroke transient analysis method and system for a high-voltage power transmission line. The method comprises the following steps: acquiring power transmission line parameters, material electromagnetic parameters and atmosphere lightning stroke channel parameters; acquiring a three-dimensional electromagnetic field partial differential model and performing space-time discretization based on the three-dimensional electromagnetic field partial differential model and a plurality of preset data to acquire electric field intensity, current density and magnetic field intensity; obtaining structural material parameters; acquiring simulation voltage data and simulation current data based on the data and a plurality of preset data; acquiring actually measured data, and calculating a rise time error, a wave crest amplitude error and a high-frequency component amplitude-frequency response error based on the three data; and if the preset convergence condition is met, realizing accurate simulation of the lightning stroke transient process of the high-voltage transmission line. According to the lightning stroke transient analysis method for the high-voltage transmission line, high-precision global simulation can be carried out on the lightning stroke transient process of the high-voltage transmission line, and reliable data support is provided for lightning protection design optimization.

The application relates to the technical field of electromagnetic simulation, in particular to a kind of electromagnetic parameter configurable structure simulation method of ceramic packaging high-voltage direct-current contactor. The method comprises the following steps: obtaining the geometric model of the ceramic packaging high-voltage direct-current contactor, measuring the time interval of the induced current generated by the magnetic ring after the main coil is energized under standard test conditions, and recording it as the induced delay reference value; when the contactor performs each switching action, the time interval between the energization of the main coil and the generation of the induced current in the magnetic ring in this action is monitored in real time, compared with the induced delay reference value, and the deviation degree sequence of each action is obtained; the synchronism of the moving iron core attraction process is judged according to the deviation degree sequence, the expected attraction force value of the moving iron core is reduced when the delay deviation degree increases, and the actual attraction force is generated. The application establishes a performance evaluation system based on induced delay, and converts the originally complex multi-physical field problem into a measurable time parameter.

The application discloses a silicon steel sheet magnetic circuit parameter calculation method in the magnetic circuit theory application field, and the specific process is as follows: S1, the geometric size, electromagnetic parameters and lamination number of the silicon steel sheet are acquired; S2, the frequency and direction of the alternating magnetic flux in the silicon steel sheet are determined; S3, the magnetic circuit parameters of the silicon steel sheet are calculated according to the expression; the calculation method can quickly calculate the magnetic circuit parameters of the silicon steel sheet according to the geometric size, electromagnetic characteristics and lamination number of the silicon steel sheet, in combination with the frequency and direction of the alternating magnetic flux in the silicon steel sheet, draw the high-frequency magnetic circuit characteristics of the silicon steel sheet, and improve the work efficiency of researchers; the operation state of electromagnetic equipment can be evaluated, the behavior of the magnetic quantity in the magnetic circuit can be qualitatively analyzed, and the size of the magnetic circuit parameters can be quantitatively calculated.

The invention relates to the field of monitoring and early warning, in particular to an unsafe behavior monitoring and early warning method and device based on deep learning. The system comprises a wearable monitoring device, a fluid impedance tomography monitoring module and a fluid-structure interaction wave equation inverse solution model. The wearable monitoring device integrates a low-pressure pneumatic flexible network, a magneto-rheological fluid layer and a negative Poisson's ratio auxetic skeleton, collects a pressure pulsation frequency spectrum and electromagnetic parameters in real time, and inverts a normalized stiffness index of a human body contact part by using deep learning; the method is characterized in that magnetic field PWM and air pressure frequency are regulated and controlled in a linkage mode according to a rigidity judgment result, and air pressure pretightening force is used for inducing phase change of magnetorheological fluid and generating high-frequency vibration early warning; according to the invention, the geometric antagonism mechanism of the auxetic skeleton is utilized to ensure the tight fitting of the device and the high fidelity of signals, so that accurate tactile feedback monitoring is realized.

Embodiments of the present disclosure disclose methods, and systems for modelling components with required electrical and magnetic parameters. The system includes a modelling platform, a processing circuitry and a modelling tool. The processing circuitry is configured to receive user inputs including modelling requirement data related to magnetic and electrical parameters of a component. The processing circuitry computes modelling parameters related to the component based on the modelling requirement data and generates modelling data based on the modelling parameters. The modelling tool is configured to access the modelling data from the processing circuitry and fabricate the component based on the modelling data. The component includes a body including a plurality of conductor grooves configured to receive a set of conductors based on a predetermined winding pattern and a cooling structure configured to receive a cooling medium.

The invention relates to the technical field of nondestructive testing, in particular to a magnetic stress nondestructive testing system. Comprising an excitation device system, a magnetic induction measurement device system, a data acquisition and processing system and a field test system, the excitation device system is used for applying a controllable external magnetic field to the detected pipe section; the magnetic induction measuring device system is arranged in an external magnetic field acting area and at least comprises a main measuring channel and a reference channel, the main measuring channel is used for acquiring a magnetic signal related to the stress of a measured pipe section, and the reference channel is used for acquiring a reference magnetic signal related to temperature drift or device drift. According to the method, the magnetic parameters are subjected to temperature conversion through the force-magnetism-heat coupling constitutive model, so that the temperature influence is no longer an empirical correction term but an observable and decoupled explicit variable, and the system error caused by all-working-condition temperature fluctuation is remarkably reduced.

The invention relates to a method for evaluating electromagnetic parameters of a medium-high-voltage high-frequency transformer. The method comprises the following steps: inputting design parameters and electrical parameters of the high-frequency transformer; establishing a finite element model of the two two-dimensional sections, and performing finite element simulation according to the electrical parameters; primary and secondary side self-inductance parameters and primary and secondary side mutual inductance parameters are obtained based on finite element simulation, and excitation inductance and leakage inductance parameters are solved; sequentially calculating the average leakage magnetic field intensity of the position of each turn of winding based on the leakage magnetic field distribution of the transformer magnetic core window, and further solving the total winding loss of the high-frequency transformer; and obtaining the excitation voltage waveform of the high-frequency transformer based on the electrical parameters, establishing the relationship between the voltage and the magnetic flux density, and solving the iron core loss in combination with the iron core design parameters. According to the method, the electromagnetic parameter evaluation period of the medium-high-voltage high-frequency transformer is remarkably shortened, calculation resource consumption is reduced, powerful support is provided for rapid iterative optimization of a design scheme, and the method has good engineering practical value and popularization and application prospects.

The invention discloses a method and equipment for simulating rugged topography to carry out forward modeling, and the method comprises the steps: building a curved coordinate system according to the form of a target rugged topography, and obtaining the number of curved coordinate systems of each calculation node under the curved coordinate system; electromagnetic parameters required by forward modeling simulation are set, and a radar wave fluctuation equation under the curved coordinate system is split to obtain a plurality of split equations which can be independently calculated; according to the number of the curved coordinate systems and the structure of the splitting equation, the deployment positions of the electric field intensity and the magnetic field intensity in the staggered grids are optimized, so that the staggered grids are matched with the spatial characteristics of the curved coordinate systems and the number of the curved coordinate systems; staggered grid calculation is carried out on the splitting equations, calculation results of the splitting equations are recombined and added, the calculation results are stored in grid units according to a staggered rule, and high-precision forward modeling of the rugged topography is achieved. According to the method, the problems of stepped angular points and derived frequency dispersion and scattering generated when the rugged topography is simulated by a conventional regular grid can be effectively avoided, and the wave field simulation precision is greatly improved.

The application relates to a nanocrystalline strip material high-frequency magnetic performance testing device and a testing method, and relates to the technical field of magnetic detection; the device comprises a shielding box, a detection chamber and a working chamber are separated in the shielding box through a partition plate, a clamp is arranged in the detection chamber along the length direction of the detection chamber, the clamp comprises a roller shaft group one and a roller shaft group two, the roller shaft group one is arranged on one side of the length direction of the detection chamber, the roller shaft group two is slidingly arranged on the other side of the length direction of the detection chamber, and a pushing piece is arranged on both sides of the width direction of the detection chamber. The application can solve the following problems in the process of magnetic detection in the prior art: the nanocrystalline strip material is tested under multiple bending conditions, the actual performance evolution of the material under complex working conditions is reflected, and key experimental basis is provided for the reliability design of high-frequency magnetic devices. Secondly, a cooling circulating system is arranged to cool the bending part, magnetic parameter test errors caused by temperature rise are avoided, and the repeatability and comparability of the test data are ensured.

The application discloses a three-dimensional FDTD metal conformal stable simulation method, which comprises the following steps: grid construction and boundary identification, effective electromagnetic parameter calculation, stable condition pre-check, field quantity iterative update and boundary condition convergence judgment. Through the integral form of the effective dielectric constant and the magnetic permeability, the post-weighted stabilization strategy and the strict integral update rule of the metal boundary, the high-precision and high-stability electromagnetic simulation of the complex medium boundary and the metal boundary is realized, and the robustness of the algorithm to the time step is improved, and the practical application scene is expanded.

This invention discloses a joint inversion method for transient electromagnetic and magnetic data, comprising the following steps: acquiring transient electromagnetic observation data and magnetic observation data; converting the transient electromagnetic observation data into transient electromagnetic moment data; constructing a joint inversion objective function based on the transient electromagnetic moment data and magnetic observation data, the joint inversion objective function including: data fitting residual terms and model constraint terms; using a multivariate Gaussian mixture model to parameterize the model constraint terms, obtaining the coupled model constraint terms; combining the data fitting residual terms and the coupled model constraint terms into the final objective function, and minimizing the final objective function through an optimization algorithm to obtain the electrical and magnetic parameters of the subsurface medium. This invention achieves joint inversion of transient electromagnetic and magnetic data, solves the problem of low computational efficiency in three-dimensional inversion by introducing transient electromagnetic moments, and utilizes rock physics constraints to couple electrical and magnetic parameters, making the inversion results more accurate and structurally consistent.

The invention relates to the technical field of electromagnetic excitation, discloses an array electromagnetic excitation system capable of adaptively adjusting spatial magnetic field intensity, and aims to solve the problems of non-uniform field distribution, inflexible parameter regulation and control and weak scene adaptability of a traditional electromagnetic excitation system. According to the system, a technical system of'multi-parameter independent regulation and control-adaptive power matching-reconfigurable array collaborative optimization 'is constructed, a distributed intelligent control architecture of'DDS + FPGA + AI algorithms' is adopted, and independent adjustment of electromagnetic parameters of an excitation source is realized in combination with a frequency-band power amplification and dynamic impedance matching technology; a reconfigurable coil array driven by piezoelectricity is matched with a multi-physical field monitoring closed loop of a Hall sensor array and a temperature / stress sensor, and the distribution uniformity of an electromagnetic field is adjusted in combination with a field-structure collaborative optimization algorithm. According to the invention, the energy transmission efficiency and scene adaptability can be improved, and high-precision adjustment of electromagnetic excitation is realized.

The embodiment of the present application discloses a kind of method and device for determining magnetic distribution information based on multi-platform magnetic force data.The method comprises: obtaining the magnetic force data measured by at least two measuring platforms on the area to be explored;Wherein, the measuring platform includes aerial survey platform, ground survey platform and drilling survey platform;Based on the magnetic force data corresponding to the area to be explored and the preset parameters to be inverted, a target function is constructed;Wherein, the unknown parameters are added to the target function as the parameters to be inverted, and the parameters to be inverted include at least one preset base point difference parameter and the magnetic parameters to be determined;The base point difference parameter is used to adjust the reference gap between different magnetic force data in the target function;Determine the parameter value corresponding to the magnetic parameters to be determined in the target function, and determine the magnetic distribution information generated by the magnetic body contained in the area to be explored based on the parameter value.The technical scheme of the embodiment of the present application can improve the accuracy of magnetic distribution information.

This application provides a testing device for sheet-like ferromagnetic magnetic materials, relating to the field of magnetic measurement equipment technology. The testing device includes a coupling magnetic yoke, a first excitation winding, a second excitation winding, a sample, and a testing component. The coupling magnetic yoke includes a connecting portion, a first excitation terminal, and a second excitation terminal. The first excitation terminal is symmetrically arranged in the connecting portion along a first direction, and the second excitation terminal is symmetrically arranged in the connecting portion along a second direction. The first excitation winding is wound around the first excitation terminal. The second excitation winding is wound around the second excitation terminal. The sample is connected to both the first and second excitation terminals to form a spatially coupled magnetic circuit. The testing component is connected to both the first and second excitation windings to simultaneously detect the magnetic parameters of the sample in the first and second directions. This device achieves the effect of synchronously detecting the magnetic parameters of sheet-like ferromagnetic magnetic materials in different directions.

The invention discloses a gear grinding burn degree detection method and device, a medium and a product, and relates to the field of grinding burn detection.The method comprises the steps that a sample is prepared, a grinding burn experiment is conducted on the sample, and sample sensitive magnetic parameters and grinding burn degrees corresponding to the sample sensitive magnetic parameters are obtained in the experiment process; taking the sensitive magnetic parameters of the sample as input, taking the grinding burn degree corresponding to the sensitive magnetic parameters of the sample as output, training a machine learning algorithm, and taking the trained machine learning algorithm as a gear grinding burn evaluation model until a set condition is met; obtaining sensitive magnetic parameters of the gear to be detected; and obtaining the grinding burn degree of the to-be-detected gear for representing the burn depth and the burn type based on the sensitive magnetic parameters of the to-be-detected gear by adopting the gear grinding burn evaluation model. According to the invention, accurate identification of the burn depth and the burn type can be realized, so that the requirement of modern intelligent manufacturing for accurate quality control is met.

The application discloses a micro-magnetic detection method for predicting uniaxial tensile stress and strain based on a convolutional neural network, and relates to the technical field of micro-magnetic detection, which comprises the following steps: vertically attaching a micro-magnetic sensor to the surface of a standard tensile test piece; in the process of a tensile experiment, acquiring micro-magnetic signals of the standard tensile test piece in different states, and simultaneously measuring stress and strain data at corresponding times; processing the micro-magnetic signals to obtain various micro-magnetic characteristic parameters; merging the micro-magnetic parameters and the stress and strain states by aligning the standard tensile experiment of classical mechanics and the time of the micro-magnetic signals to form a multi-micro-magnetic signal data set; based on the multi-micro-magnetic signal data set, adopting a strategy of reducing a learning rate and multiple loss to train a one-dimensional convolutional neural network, and then predicting the corresponding stress and strain of the structure. Therefore, the micro-magnetic detection method for predicting uniaxial tensile stress and strain based on the convolutional neural network can be used to predict the stress and strain curve of a steel structure component subjected to uniaxial tension and containing an elastic segment and a plastic segment.

The invention discloses a pulse magnetic field intensity measurement and calibration system and method based on a Hall sensor. According to the system, a Hall sensor array is used for measuring pulse magnetic field intensity generated by a solenoid under different charging voltages and probe space positions, and multiple groups of voltage-position-magnetic field intensity coupling data are obtained; a three-dimensional mapping relation model of the magnetic field intensity, the space coordinates and the charging voltage is established based on the data, and high-precision quantitative characterization of space magnetic field distribution is achieved; according to the method, the three-dimensional mapping relation model is constructed through the system. According to the method, an accurate magnetic field intensity calibration basis can be provided for the inversion calculation of the particle movement speed time travel curve in an explosion physical experiment, the reliability of the mapping relation between the electromagnetic parameters and the space field intensity and the particle speed inversion precision under the transient explosion condition are remarkably improved, and key data support is provided for explosion driving mechanism research.

The application belongs to the field of material nondestructive testing, and particularly relates to a P91 pipeline aging grade prediction method based on micro-magnetic characteristic parameters, which comprises the following steps: a two-dimensional calibration system covering microstructure characteristics and macroscopic mechanical properties is constructed, and multi-level standard samples are prepared; multi-dimensional micro-magnetic data of each level of samples under step-by-step tensile load is collected, and a full-dimensional data set containing aging grade, stress level and micro-magnetic parameters is constructed; a ReliefF feature screening algorithm is used to identify core characteristic parameters which are highly sensitive to aging and can effectively distinguish stress interference; a back propagation neural network prediction model is constructed with the core parameters as input and the calibration grade as output, and is applied to field detection. Through core parameter screening and multi-parameter model fusion, the application realizes effective decoupling of stress and aging influence, guarantees the integrity of the pipeline structure, and significantly improves the accuracy of quantitative prediction of the aging grade.

The invention provides a clump electrostatic field force quantum radiation expression and an application method thereof, and relates to the crossing field of basic physics theory and applied physics. According to the clump electrostatic field force quantum radiation expression, traditional electromagnetic parameters are replaced with the constant number of clump characteristics radiated in basic charge unit time, and quantization expression of electrostatic force calculation is achieved. According to the invention, by introducing a sub-momentum exchange model and a small month constant, a quantum radiation expression of an electrostatic field force uses a Planck constant, a light velocity and a quantum number to successfully eliminate charge dimensions of basic charges e and epsilon 0; the formula and the derivation process completely provide a new understanding mode for a microscopic, clear and innovative operation mechanism of the electric field force from the angle of quantum radiation.

This application relates to a high-precision magnetic imaging method, apparatus, equipment, and medium for underground dominant flow channels. The method includes: responding to the need for high-precision magnetic imaging of underground dominant flow channels, preparing a magnetotactic bacterial tracer fluid and constructing a target medium model; based on an underground flow field magnetic detection platform, controlling the injection of the magnetotactic bacterial tracer fluid into the target medium model and collecting magnetic field data throughout the seepage process; processing the magnetic field data using a geophysical inversion algorithm to obtain a magnetic parameter matrix; based on the relationship between penetrating magnetic signal characteristics, metal shielding coefficient, fluid shear rate, and macroscopic flow velocity, inverting the magnetic parameter matrix into a flow velocity vector field matrix; and obtaining the imaging results of the underground dominant flow channel based on the target medium model and the flow velocity vector field matrix. This solves the problems in related technologies, such as the inability to penetrate metal shielding structures, susceptibility to solid particle blockage, restricted transport, environmental background noise interference, and the inability to eliminate static background effects.

The invention relates to the technical field of magnetizing detection, in particular to a pulsed magnetic field monitoring method and system in the magnetizing process, and the method comprises the steps: a magnetic field data collection step: configuring a time sequence synchronization strategy to synchronize a magnetizing processing signal to a preset pulsed magnetic field detector so as to trigger multi-source sensing data collection in a magnetizing region; a data fusion modeling step: constructing a three-dimensional virtual model of the magnetic field according to the multi-source sensing data so as to feed back the dynamic change of the magnetic field in the magnetizing process; a magnetizing real-time evaluation step: analyzing whether the key index accords with a preset qualified index threshold based on the magnetic field three-dimensional virtual model, and generating a feedback evaluation result; and a magnetizing feedback adjustment step: performing calculation according to the feedback evaluation result and a preset magnetizing parameter analysis model so as to determine magnetizing output parameters and adjust the magnetizing device. The magnetizing device has the effect that the to-be-machined part can be subjected to magnetizing adjustment in time in the magnetizing process, so that the machining qualification rate of the magnet is increased.