59 results about "Magnetic impedance" patented technology

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

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

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

The invention discloses a method and a system for compensating different-frequency current errors of a low-voltage current transformer, and belongs to the technical field of error measurement of electric energy metering equipment. The method comprises the following steps: measuring the magnetic conductivity of a low-voltage current transformer CT iron core under power frequency and different frequency current, and calculating to obtain low-voltage CT equivalent circuit excitation impedance parameters under the magnetic conductivity corresponding to different frequency circuits; measuring to obtain the direct current resistance of the low-voltage CT secondary winding, and calculating to obtain the excitation current value under each frequency calibration range point based on the direct current resistance; and calculating a current error value of the measuring range point under each frequency based on the excitation current value, calculating a pilot frequency error compensation coefficient of the measuring range point under each frequency based on the current error value, and compensating the abnormal current error of the low-voltage CT by using the pilot frequency error compensation coefficient. According to the invention, large-scale and high-efficiency utilization of pilot frequency current is facilitated to carry out low-voltage CT live calibration error verification, and the metering performance of the low-voltage CT in the commissioning process is accurately judged.

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

The invention relates to the technical field of geophysical electromagnetic method inversion processing, in particular to a three-dimensional magnetotelluric discrete cosine sparse inversion method based on volume coordinate dimensionality reduction. Obtaining magnetotelluric impedance observation data to establish a non-structural tetrahedral mesh three-dimensional model; applying uniform half-space electrical parameters to each unit in the non-structural tetrahedral mesh three-dimensional model as an inversion initial model; constructing an equivalent parameter model in a sparse space so as to construct an inversion objective function; performing forward iteration to calculate electromagnetic impedance response, and utilizing a finite memory quasi-Newton method to iteratively update the equivalent parameter model; and stopping inversion until the forward modeling response of the three-dimensional model of the non-structural tetrahedron meets an iteration termination condition or reaches the maximum number of iterations. According to the method, the space mapping relation between forward modeling and inversion can be flexibly constructed by using the volume coordinates, and the model space is reduced through discrete cosine sparse transformation, so that the underqualitative degree is reduced to a certain extent, and the convergence and efficiency of the magnetotelluric three-dimensional inversion are improved.

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

The invention relates to a preparation method of a honeycomb-shaped N-CNTs composite wave-absorbing material. N-CNTs powder is obtained through one-time calcination, the structure of the carbon nano tube can be improved through the nitrogen-doped carbon nano tube, the polarization phenomenon in the carbon nano tube is increased, the conductivity and the charge transmission capacity of the carbon nano tube are improved, and reflection and penetration of electromagnetic waves are reduced. And through secondary calcination, the calcined carbon fibers and the N-CNTs are intertwined to form a compact net-shaped structure. As the whole composite wave-absorbing material is in a honeycomb shape, a plurality of cavities and interfaces exist in the honeycomb structure, and the carbon fibers and the N-CNTs can be uniformly distributed on the inner walls and the outer surfaces of the cavities of the honeycomb structure, so that incident electromagnetic waves are reflected and scattered for multiple times in the structures; and the path and opportunity of interaction between electromagnetic waves and the material are increased, so that the absorption effect is improved. The honeycomb structure can also adjust the electromagnetic impedance of the composite wave-absorbing material, so that the composite wave-absorbing material can be better matched with the impedance of a free space, and the reflection of electromagnetic waves is reduced.

The invention discloses a permanent magnet auxiliary synchronous reluctance motor control method and system considering eddy current reaction, and the method comprises the steps: building a motor magnetic impedance model considering the eddy current reaction effect, the magnetic saturation effect and the dq-axis cross coupling effect based on a vector magnetic circuit theory; calculating the magnetomotive force of the armature winding and the permanent magnet magnetomotive force of the interpolated ferrite; obtaining a stator flux linkage equation based on magnetomotive force and the motor magnetic impedance model; based on the stator flux linkage equation and the voltage equation, constructing a multi-factor coupled permanent magnet auxiliary synchronous reluctance motor control model; measuring a magnetic induction coefficient value in the motor magnetic impedance model based on a vector magnetic circuit theory magnetoelectric power law; and designing the maximum torque current ratio control method of the permanent magnet auxiliary synchronous reluctance motor based on the multi-factor coupled motor control model. According to the method, the reaction of the eddy current in the permanent magnet auxiliary synchronous reluctance motor on the stator flux linkage is quantitatively considered, the method has definite physical significance and higher modeling precision, and performance improvement of a control system is facilitated.

The invention discloses an iron core type current sensor error measurement method and system, and the method comprises the steps: generating an excitation signal of a preset target magnetic field intensity peak value through a signal generator, amplifying the excitation signal through a power amplifier, and outputting the amplified excitation signal to an excitation winding of a detected current sensor, obtaining excitation impedance Zm of the detected current sensor; a compensation coil and a secondary side coil are wound on the detected current sensor, a secondary side loop is generated, and the total impedance Z20'of the secondary side loop of the detected current sensor is obtained; and calculating an error value of the detected current sensor based on the excitation impedance Zm and the total impedance Z20'of the secondary side loop.

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

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

The invention discloses a coast effect correction method, system and device based on linear iteration and a medium, and relates to the technical field of coast effect correction, and the method comprises the following steps: obtaining a coast effect correction result based on a linear relation among a magnetotelluric impedance tensor, a background impedance tensor of an underground real structure and an impedance tensor of a coast effect; calculating an impedance tensor of the coast effect according to the total electromagnetic parameters and the coast effect-free parameters, calculating a corrected coast effect-free impedance tensor according to the observed total magnetotelluric impedance tensor, and obtaining an intermediate inversion model according to the ocean-free geoelectric model and the corrected coast effect-free impedance tensor; and performing magnetotelluric three-dimensional forward modeling based on the intermediate inversion model and the ocean model, calculating a total magnetotelluric impedance tensor containing the ocean effect, and determining a final inversion model capable of more truly reflecting the underground structure of the region according to the total magnetotelluric impedance tensor containing the ocean effect and the total observation magnetotelluric impedance tensor.

The invention discloses a method and a device for calculating distributed capacitance of an electromagnetic voltage transformer. The method comprises the following steps: constructing a capacitance parameter correlation constraint equation of the electromagnetic voltage transformer; opening a primary terminal of the electromagnetic voltage transformer, applying excitation of different frequencies to a secondary terminal of the electromagnetic voltage transformer, and obtaining iron core equivalent excitation impedance, open-circuit parallel resonant frequency and open-circuit series resonant frequency of the electromagnetic voltage transformer; performing short circuit on a primary terminal of the electromagnetic voltage transformer, applying excitation of different frequencies to a secondary terminal of the electromagnetic voltage transformer, and obtaining primary and secondary winding equivalent impedance and short circuit parallel resonant frequency of the electromagnetic voltage transformer; and substituting the iron core equivalent excitation impedance, the primary and secondary winding equivalent impedance, the open-circuit parallel resonant frequency, the open-circuit series resonant frequency and the short-circuit parallel resonant frequency into a capacitance parameter correlation constraint equation, and calculating the distributed capacitance of the electromagnetic capacitance transformer.

The invention relates to the technical field of manganese zinc ferrite and discloses a method for preparing a manganese zinc ferrite material. A composite material containing both a "conductive" element and a "magnetic" element is prepared by a physical mixing method. The manganese zinc ferrite has a large resistivity, and electromagnetic waves can easily enter the interior of the material to achieve electromagnetic impedance matching, so that the magnetic loss performance is outstanding; the polythiophene Schiff base conductive polymer can coordinate with metal ions to form a metal complex, thereby increasing the dielectric loss of the composite material and reducing the reflection of electromagnetic waves on the incident interface; the Schiff base structure transfers charges through the conjugation of single and double bonds, and the double bond electron rotation makes it magnetic, and the pinning effect of rare earth lanthanum increases the loss caused by domain wall resonance, thereby effectively improving the magnetic properties and wave absorption performance of the composite material, so that the prepared manganese zinc ferrite material has excellent properties of broadband and high conductivity.

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

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

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

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

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

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

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

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

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

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

To provide a foreign object detection device detecting a foreign object on the basis of a signal outputted from a magnetic sensor, with increased intensity of signals outputted.SOLUTION: The foreign object detection device comprises: a first magnetic sensor including a first sensitive element that has uniaxial magnetic anisotropy in a first direction, to which a bias magnetic field is applied toward a second direction intersecting the first direction, and which due to magnetic impedance effect senses a magnetic field; and a second magnetic sensor including a second sensitive element that is arrayed in a direction intersecting the first direction with respect to the first magnetic sensor, to which a bias magnetic field is applied toward the second direction same as first magnetic sensor, and which due to the magnetic impedance effect senses a magnetic field. On the basis of signals outputted from the first magnetic sensor and the second magnetic sensor, a foreign object included in a target moving in a direction where the first magnetic sensor and the second magnetic sensor are arrayed is detected.SELECTED DRAWING: Figure 5

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

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

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

To improve detection accuracy of a magnetic substance by inducing lines of magnetic force occurring from the magnetic substance to a magnetic sensor when detecting the presence of the magnetic substance on the basis of a signal outputted from the magnetic sensor.SOLUTION: A detection device comprises: a magnetic sensor including a sensing element which includes a soft magnetic substance, has a longitudinal direction and a lateral direction, has uniaxial magnetic anisotropy in a direction intersecting the longitudinal direction, and senses a magnetic field by a magnetic impedance effect; a first induction member which faces one end in the longitudinal direction of the magnetic sensor, extends in a direction away from the one end, and induces lines of magnetic force to the sensing element of the magnetic sensor; and a second induction member which faces the other end in the longitudinal direction of the magnetic sensor, extends in a direction away from the other end while facing the first induction member via a gap and induces the lines of magnetic force to the sensing element of the magnetic sensor together with the first induction member. One of the first induction member and the second induction member is inserted to a hollow part of a cylindrical object having the hollow part to detect a magnetic substance included in the object.SELECTED DRAWING: Figure 2