148 results about "Current density distribution" patented technology

The invention provides an optimized winding method and system for a high-frequency transformer winding. A comprehensive parameter database based on current density distribution data of a high-frequency switching power supply is established, the axial temperature of a winding layer is collected in real time in combination with a self-calibration multi-axis winding device, and tension and interlayer gap compensation parameters are generated through temperature gradient feedback. The tension parameter drives the machine to adjust the winding tightness, and the gap parameter optimizes the heat dissipation channel. And synchronously fusing the current distortion data of the LLC resonant topology and an electromagnetic field simulation result, and generating a resonant frequency adjustment signal to suppress abnormal high-frequency current distribution. And dynamic matching of winding tightness, current distribution and heat dissipation requirements is realized through cooperative control. According to the system, electromagnetic, mechanical and thermal field multi-dimensional linkage is adopted, the skin effect and hot spot concentration are reduced, the temperature rise gradient is balanced, and the high-frequency working condition stability is enhanced. According to the technical scheme, through electromagnetic, mechanical and thermal field cooperative regulation and control, the temperature rise peak value of the high-frequency winding is greatly reduced, and the efficiency is greatly improved.

The invention relates to a waveguide grating, in particular to a method for manufacturing a waveguide grating with continuous gradually-changing groove depth, which comprises the following steps of: accurately measuring and calibrating ion beam current density distribution of a used ion beam in a working plane; establishing a cooperative control model associated with a target groove depth curve, ion beam current density distribution and scanning speed, associating the etching depth with the ion beam total dose, and accurately controlling the ion beam total dose received by each point on the waveguide grating by dynamically regulating and controlling the scanning speed of the substrate relative to the ion beam, so as to realize accurate control of the etching depth. The accurate control on the groove depth distribution is realized; based on the cooperative control model, the scanning speed corresponding to the target groove depth curve is solved by combining the set target groove depth curve and the calibrated ion beam current density distribution; and performing ion beam etching based on the solved scanning speed, and finally forming a continuous gradual change groove depth accurately corresponding to the target groove depth curve on the waveguide grating. The method can effectively overcome the defect that the high-precision waveguide grating with the continuous gradually-changing groove depth is difficult to manufacture.

The invention relates to a physical field coupling simulation analysis method and device of a circuit breaker, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring distributed conductivity in an arc extinguish chamber of the circuit breaker; according to the distributed conductivity and an electric field finite element equation, an electric field distribution value in the circuit breaker arc extinguish chamber is obtained through calculation; calculating a current density distribution value in the arc extinguish chamber of the circuit breaker based on the electric field distribution value; substituting the current density distribution value into an axisymmetric magnetic field equation, and performing electric field and magnetic field coupling; substituting the port boundary voltage and the port current of the arcing area of the circuit breaker into the circuit matrix equation, and carrying out electric field and circuit bidirectional coupling; the electric field finite element equation, the axial symmetry magnetic field equation and the circuit matrix equation are combined, and the potential distribution value and the magnetic field distribution value of the arcing area of the circuit breaker and the port boundary voltage and the port current of the equivalent resistor are obtained through solving. By adopting the method, the simulation analysis efficiency and precision of the circuit breaker arc extinguish chamber can be improved.

The invention relates to the technical field of NV color centers, and discloses an NV color center magnetic field and current measurement method and system. The method comprises the following steps: performing decomposition and noise reduction on the two to generate target three-dimensional data, and constructing a joint response equation by combining the resonant frequency offset and the fluorescence intensity change value of the target three-dimensional data; and finally, decoupling the equation to obtain a global magnetic field estimation value, and determining a current density distribution diagram according to the value and the vacuum magnetic conductivity. According to the method, the initial signal quality is improved through the quantum coherence enhanced pulse sequence, the influence of interference such as environmental thermal noise on the magnetic field signal is effectively weakened through decomposition noise reduction and joint response equation decoupling, and the magnetic field characteristics are accurately extracted, so that high-precision data support is provided for subsequent magnetic field analysis and current density distribution determination. The technical problem that in the prior art, interference such as environmental thermal noise exists generally, so that initially-collected magnetic field signals are mixed with a large amount of noise, and follow-up magnetic field and current analysis is seriously affected is solved.

The invention relates to the technical field of battery simulation, in particular to a temperature adjustment method and system for simulating a battery based on a battery simulator. The method comprises the following steps: collecting the material thermal conductivity, thickness and layer number information of the battery cell lamination structure, and recording the information as battery cell lamination structure data; performing thermal resistance calculation on each layer of the battery cell according to the battery cell lamination structure data to obtain thermal resistance distribution data of each layer of the battery cell; performing space-time inversion simulation on the heat accumulation condition in the battery cell in the rapid charging process to obtain battery cell heat accumulation simulation data; and determining current density distribution data in the battery cell in the rapid charging process according to the thermal resistance distribution data of each layer of the battery cell and the battery cell heat accumulation simulation data. Through data monitoring technology data and data simulation technology, thermal resistance distribution calculation of heat accumulation in the battery cell is realized, accurate simulation of a heat accumulation path is realized, cooling efficiency is improved, and battery safety is enhanced.

The invention discloses an electrophysiological signal fusion method and device, relates to the technical field of biomedicine, and mainly aims to solve the problem of low cardiac imaging evaluation accuracy caused by poor effectiveness of existing electrophysiological signal fusion. The method includes the steps that electrophysiological signals obtained after cardiac organs are collected and subjected to active magnetic field compensation and passive magnetic field compensation are obtained, and active magnetic field compensation signals of active magnetic field compensation are completed by controlling a main control magnetic field source based on a deep neural network model; a passive magnetic field compensation signal of the passive magnetic field compensation is completed based on residual magnetic field data modeling; screening effective signals from the electrophysiological signals, and performing inversion reconstruction on the effective signals to obtain current density distribution; cross-modal fusion is conducted on the electrophysiological signals, the current density distribution and the electrocardiosignals through a deep learning model after model training is completed, a signal fusion result is obtained, and the deep learning model is trained based on Maxwell constraints.

The invention relates to the technical field of semiconductor device design and simulation, in particular to a multi-physics-field coupled photoelectric detector modeling method and system, and the method comprises the steps: calculating the spatial distribution of the carrier generation rate, the carrier recombination rate, the potential, the distribution of electron concentration and hole concentration, and heat effect feedback data of a surface incidence semiconductor photoelectric detector; calculating the current density distribution of the target surface incident semiconductor photoelectric detector under the dynamic input optical power; based on an automatic differential Newton iteration method, a multi-physics field coupling equation set is solved according to spatial distribution of a carrier generation rate, current density distribution, a carrier recombination rate, potential, distribution of electron concentration and hole concentration and heat effect feedback data; and establishing an equivalent circuit model of the surface incidence semiconductor photoelectric detector, and carrying out co-simulation with an external circuit. Therefore, the problems of insufficient physical field coupling, poor numerical stability, low calculation efficiency, inaccurate simulation and the like in a traditional photoelectric detector simulation method are solved.

The invention relates to the technical field of thermoelectric material surface treatment, and provides a bismuth telluride-based thermoelectric material wafer surface treatment method which comprises the following steps: acquiring multi-dimensional data such as current density distribution, temperature field distribution, solution concentration gradient and plating thickness increment in real time through a sensor array; performing iterative calculation on the data based on a thermoelectric performance parameter optimization model to generate an optimal parameter combination of chemical oil removal, activation, nickel plating and tin and bismuth plating processes; dynamically adjusting the anode plate area ratio, the current density threshold value and the solution temperature fluctuation range of the electroplating equipment; a self-adaptive feedback mechanism is used for correcting parameter deviation, so that a uniform thermoelectric function layer structure is formed on the surface of the wafer. According to the method, the uniformity and the thermoelectric performance stability of the surface coating of the bismuth telluride thermoelectric wafer can be improved, the defect rate is reduced, and the production efficiency and the product consistency are improved.

The invention relates to the technical field of medical rehabilitation equipment, in particular to pelvic floor muscle group electrical stimulation equipment with a customizable appearance and a customizing method thereof.The pelvic floor muscle group electrical stimulation equipment comprises a treatment probe with the customizable appearance, and the treatment probe comprises a center shaft, a balloon body wrapping the center shaft and at least one flexible tensioning belt; one end of the flexible tensioning belt is anchored to the inner wall of the balloon body, the other end of the flexible tensioning belt penetrates through the outer wall of the center shaft to be connected with a locking ring arranged in the center shaft, the length of the flexible tensioning belt is determined by the rotating angle of the locking ring, and the locking ring can rotate when heated and cannot rotate after being cooled. According to the embodiment of the invention, the shape of the treatment probe can permanently reproduce the physiological contour of a user through one-time shaping and curing, so that the adaptation problem of a standardized probe is fundamentally solved, the wearing comfort and stability are greatly improved, the close and uniform contact between an electrode and pelvic floor muscle tissue is ensured, and the treatment effect is improved. And the current density distribution is uniform.

According to the parking battery energy distribution optimization method and system, the initial flowing direction of battery electrolyte is calculated by monitoring the three-axis acceleration and angular speed of a vehicle in real time, and electrolyte concentration gradient distribution is simulated and predicted in combination with fluid mechanics. And when the concentration gradient exceeds a threshold value, dynamically dividing an electrode area and optimizing an activation proportion, synchronously calculating current density distribution and an electrochemical reaction rate, and deducing the real-time output power of the battery by using an equivalent circuit model. By comparing real-time power requirements of electric equipment, a pulse width modulation technology is adopted to generate an initial energy distribution scheme, switching frequency distribution of an electrode activation area is finely adjusted based on current density requirements, and finally dynamic regulation and control of the battery management system on electric energy output are achieved. According to the method, the problem of output power fluctuation caused by non-uniform electrolyte distribution due to vehicle shaking in a parking state is effectively solved, and the energy distribution efficiency and the power supply stability of the battery with the special-shaped structure under a complex working condition are greatly improved.

According to the method for locally plating the chromium on the metal surface of the part, the metal surface of the part comprises a surface B needing to be plated with the chromium and a surface A which is adjacent to the surface B and does not need to be plated with the chromium, and a groove is formed between the surface B and the surface A to separate the surface B and the surface A; before electroplating, a non-ferrous metal sheet is tightly bonded to the A face through insulation paste so that the A face can be shielded by the non-ferrous metal sheet, and insulation protection is conducted on the other non-plated faces needing to be protected through insulation protection materials; and the surface B is soaked in electroplating liquid, and electroplating treatment is conducted after electrification. According to the method, non-plating surface protection is achieved, the current density distribution condition of the chromium plating surface is improved, the obtained chromium plating surface is smooth and fine, and the edge is free of the wavy defect; compared with a traditional insulating material, the tool clamp is low in cost, easy and convenient to operate and high in manufacturing qualification rate.

The invention provides a heavy metal contaminated soil remediation effect evaluation method and system.The method comprises the steps that firstly, the heavy metal effective state content, microbial index data, plant index data and heavy metal ion migration data of a monitoring area are collected; calculating a repair efficiency index by using the first three types of data, exciting a nano-catalyst by microwave energy to generate active oxygen to catalyze the form transformation of the heavy metal, and recording temperature rise curve data in the reaction process; calculating a current density value of each monitoring point based on the ion migration data and generating a spatial distribution diagram; and fusing the remediation efficiency index, the temperature rise curve and the current density distribution data, inputting the fused data into a convolutional neural network, and finally outputting a soil remediation effect grade evaluation result and a spatial difference analysis result. According to the method, the accuracy and comprehensiveness of heavy metal contaminated soil remediation effect evaluation are improved.

The application relates to the technical field of power electronics, and discloses a press-contact type IGBT device packaging structure optimization method and system. The method comprises the following steps: constructing an equivalent model of a press-contact type IGBT device; constructing a differential algebraic equation for uniformly describing the equivalent model of the press-contact type IGBT device and circuit port variables; converting the differential algebraic equation into a nonlinear algebraic equation group through time domain discretization, and constructing an iteration matrix with a global state vector as a derivation object according to a solving mode of the nonlinear algebraic equation group; performing low-dimensional subspace projection on the iteration matrix based on a Krylov subspace, and combining residual minimization to solve a linear subproblem of the iteration matrix, so that current uniformity characteristic results of the press-contact type IGBT device are obtained; and the packaging structure of the press-contact type IGBT device is optimized based on current density distribution reflected by the current uniformity characteristic results. The application can improve the current uniformity and operation reliability of the system.

The application provides a kind of metal pitting defect degree evaluation method and system based on artificial intelligence, by obtaining the micro porosity distribution data of metal plate in the forming process, and the internal fluctuation signal of metal plate under the action of directional stress wave;Based on the propagation attenuation rate of internal fluctuation signal, the geometric parameters of structure abnormal area corresponding to micro porosity distribution data are generated;Obtain the current density distribution data of structure abnormal area;Micro porosity distribution data, geometric parameters of structure abnormal area and current density distribution data are input into artificial intelligence model to associate micro porosity distribution data with current density distribution data, generate the pore current coupling characteristic matrix of metal plate;According to pore current coupling characteristic matrix, the quantitative evaluation result of internal pitting defect degree of metal plate is generated;The technical scheme provided by the application realizes the dynamic quantitative evaluation of the degree of metal internal pitting defect, and breaks through the technical bottleneck of traditional single index detection method in defect evolution mechanism analysis and quantitative precision.

The embodiment of the invention provides a direct-current impedance testing method of a secondary battery, and belongs to the technical field of battery manufacturing, and the method provided by the embodiment of the invention comprises the following steps: constructing an electrochemical model of the secondary battery; according to the electrochemical model, simulating and calculating solid-phase potential, liquid-phase potential, active ion concentration and interface current density distribution of the secondary battery; according to the electrochemical model, the solid phase potential, the liquid phase potential, the active ion concentration and the interface current density distribution, the direct current impedance of a target assembly in the secondary battery is determined, and the target assembly comprises at least one of a positive plate, a negative plate and a diaphragm. Through the method provided by the embodiment of the invention, the problem that the direct current impedance of the secondary battery cannot be accurately decomposed in the existing direct current impedance decomposition mode can be solved.

The application provides a training method and device of a current density distribution identification model, the method comprising: inputting a plurality of sampling source points into the current density distribution identification model, and obtaining a loss function in the current density distribution identification model, which is constructed based on a current density distribution function and an electric field integral equation; wherein the loss function comprises a hyperbolic tangent function, a derivative of the hyperbolic tangent function and a product of the Green function; performing series expansion on the hyperbolic tangent function in the loss function, and extracting singular terms from the electric field integral equation in the series expanded loss function to obtain a plurality of singular integrals; performing inner integral calculation and outer integral calculation on each high-order singular integral in the singular integrals to determine the current density distribution function corresponding to the minimum value of the loss function on all sampling source points. The application can quickly solve the singular integrals comprising the hyperbolic tangent function, the derivative of the hyperbolic tangent function and the product of the Green function to obtain the current density distribution function.

The invention belongs to the technical field of superconducting electrical engineering modeling, and discloses an interpolation magnet dynamic loss calculation method and system, and the method comprises the steps: obtaining the size parameters of an interpolation magnet, so as to construct a geometric model of the interpolation magnet; calculating a third-order resistivity matrix of the interpolated magnet in the geometric model, and adding the third-order resistivity matrix into the geometric model as a physical parameter; a background magnetic field function is added to the boundary of the geometric model, the background magnetic field function value is adjusted to simulate the excitation process of a back field magnet, and a stable background magnetic field is obtained; under a stable background magnetic field, applying a working current to the interpolating magnet through an external circuit, and calculating the current density distribution of the interpolating magnet in a current increasing or decreasing process according to an H equation; and based on the third-order resistivity matrix and the current density distribution, obtaining the dynamic loss of the interpolation magnet in the current rising or falling process. According to the method, the current distribution of the interpolation magnet in the excitation process can be reflected truthfully, the dynamic loss can be calculated quickly, and the simulation accuracy is high.

The invention is applicable to the technical field of batteries, and provides a battery monomer, a battery device and a power utilization device, the battery monomer comprises a shell and an electrode assembly, the electrode assembly is arranged in the shell, the electrode assembly comprises a body part, a plurality of first tabs are arranged on a first end surface of the body part at intervals, and the polarities of the plurality of tabs are the same. The current density distribution of the electrode assembly in the battery monomer provided by the invention is more uniform.

The invention discloses an ultra-thin strip current detection device and method based on pulsed excitation magnetic field detection, and belongs to the technical field of metal material processing and detection. The device comprises a main control module, a magnetic induction matrix acquisition module and a transverse reciprocating module. The magnetic induction matrix acquisition module is used for acquiring space magnetic field signals excited by pulse current on the surface of the ultra-thin strip; the transverse reciprocating module drives the sensor array to do reciprocating motion in the width direction of the strip, and in combination with conveying in the rolling direction of the strip, a composite scanning track of transverse reciprocating and longitudinal rolling is formed, so that a detection blind area caused by physical intervals of sensors is filled up; and the main control module is used for coordinating motion control and data acquisition, processing and inverting the acquired magnetic field signal, and reconstructing a two-dimensional current density distribution image in the plane of the ultra-thin strip. According to the invention, non-contact, high-resolution and visual detection of pulse current distribution in the electroplastic rolling process is realized, and an accurate basis is provided for process optimization and quality control.

The invention discloses an automatic chemical control system for a copper embedding process of a printed circuit board, and relates to the technical field of printed circuit board manufacturing. According to the system, a layout is divided into a plurality of functional areas based on a PCB design file, a board-level physical characteristic parameter set containing parameters such as wiring density is constructed, an initial target current density distribution diagram is generated, the system monitors the total current of a single board and the copper ion concentration of electroplating liquid in real time, and the current density deviation risk of each functional area is dynamically predicted in combination with physical characteristics; and when the risk exceeds a preset threshold value, the closed-loop correction control unit pointedly generates a current correction factor and distributes the current correction factor to the corresponding anode region to correct the output current, so that the current density of each functional region is dynamically and accurately regulated and controlled. According to the method, through combination of prospective risk prediction and closed-loop correction, the coating uniformity, the product consistency and the yield are remarkably improved, full-process automation is achieved, and the production efficiency and the stability are improved.

The invention discloses a light color test method for a semiconductor luminescent device, and the method comprises the steps: obtaining the electrical characteristic parameters of the semiconductor luminescent device under different current injection conditions, monitoring the internal voltage distribution, current density distribution and resistance change conditions of the device in real time, and building an electrical characteristic database; calculating the temperature field distribution generated by the heat effect in the device according to the change condition of the electrical characteristic parameters, and further obtaining the temperature gradient and heat flux density distribution data of each region of the device if the current density exceeds a preset threshold value; according to the temperature gradient and the heat flux density distribution data, light emitting wavelength, light intensity distribution and color coordinate changes of the semiconductor light emitting device under different temperature conditions are analyzed, and a mapping relation matrix between temperature and optical characteristics is obtained; according to a mapping relation matrix between the temperature and the optical characteristics, the rule that the optical characteristics change along with the temperature is analyzed, and a light color shift prediction model is established.

The utility model discloses a kind of plasma cleaning plate, including bottom plate, bottom plate is provided with cathode, the surface of bottom plate is opened with at least one cathode groove, cathode groove is U shape, by the cathode groove design is U-shaped curved surface, the contact area of cathode and anode is significantly increased 30%-50%, current density distribution is optimized, make ionization area more concentrated and uniform, greatly improve the energy density of plasma arc and atmosphere dissociation degree, and, plasma can be maintained in lower temperature state in generation and effect process, unnecessary heat loss is reduced, to realize the effect of energy saving, at least one row of array distribution's plasma cleaning hole is equipped in cathode groove, and staggered distribution design is adopted, so that plasma beam is ejected at different angles and positions, form interlaced covering jet field, not only significantly improve cleaning efficiency, make cleaning process more efficient, can also ensure that cleaning has no dead angle, more comprehensive.

The application discloses a semiconductor heterogeneous photoelectrocatalytic flow reactor and application thereof. The reactor has good light permeability and electric conductivity, can fully utilize light energy and electric energy, and has uniform light-generated current density distribution (decay rate is less than 10%) and excellent mass transfer performance. The total area of the photoanode can be increased according to requirements, so that the flow reactor for photoelectrocatalytic reaction under different scales is realized.

An improved resistance welding electrode cap is arranged at the end of the electrode rod, comprising: a ring-shaped permanent magnet arranged at the outer edge of the end, a thin-walled high-resistivity magnetic conductive interlayer and an electrode copper core arranged in the electrode cap in sequence, and a cavity arranged at the top end for circulating cooling water, the upper end of the thin-walled high-resistivity magnetic conductive interlayer is in contact with the cooling water in the cavity, the lower end is flush with the end face of the electrode cap and the ring-shaped permanent magnet, and three current density distribution areas are formed between the electrode end face and the workpiece to be welded, i.e. the ring-shaped permanent magnet area with the smallest current density, the interlayer inner area, and the permanent magnet inner area and the interlayer outer area with the largest current density. By embedding the thin-walled high-resistivity magnetic conductive interlayer in the electrode cap, the current density distribution is changed to reduce the current density of the central part of the electrode, thereby reducing the heat generation in the central area while ensuring the heat generation in the central area, reducing the maximum indentation depth of the central area, and reducing the surface indentation.

The invention provides a fuel cell fault diagnosis method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a current operation condition parameter of a cell stack of a fuel cell and a current density distribution diagram corresponding to the current operation condition parameter at present, extracting a real-time multi-dimensional characteristic parameter of the cell stack based on the current density distribution diagram, calling a preset health reference current density distribution map matched with the current operation condition parameters from a preset multi-dimensional condition current density reference map library of the fuel cell stack in the health state, and comparing preset multi-dimensional characteristic parameters corresponding to the preset health reference current density distribution map with the real-time multi-dimensional characteristic parameters, when the comparison result meets a preset judgment condition, it is determined that the fuel cell stack breaks down, and the type and position of the fault are determined based on the real-time multi-dimensional characteristic parameters; on the basis of current density distribution scanning and multi-dimensional feature extraction, the current density is compared with a current density reference map library in a healthy state, and rapid and accurate fault diagnosis and fault positioning are achieved.

The present application provides a kind of method for extracting the frequency domain impedance characteristics of grounding grid under the impact of intermediate frequency oscillation, belongs to the technical field of grounding grid operation and maintenance, the present application establishes the three-dimensional geometric model of grounding grid and uses the fractal dimension adaptive grid generation algorithm to divide the grid in the conductor area, establishes the multi-layer soil complex permittivity model to characterize the frequency variation characteristics of soil electromagnetic parameters, decomposes the intermediate frequency impact excitation signal into multiple narrowband components and inputs the artificial intelligence impedance characteristic extraction model based on neural tangent kernel theory, calculates the current density distribution and electromagnetic field distribution under different frequency points, extracts the skin effect depth and adjacent effect coupling coefficient, constructs the frequency response function of grounding grid and identifies the distribution position of resonance frequency point, adaptively adjusts the grid density parameters and iterative convergence precision parameters according to the ionization degree of soil, solves the problem that the frequency domain impedance characteristics of grounding grid under the condition of intermediate frequency impact are difficult to accurately extract.

The application discloses a kind of in-pipe electrode head anode body consumption state real-time monitoring system, it is related to electrode wear monitoring technical field, the system includes data acquisition module, data processing module, modeling module, life prediction analysis module and risk early warning module;By arranging multiple micro-sensing nodes in electrode pipeline interior, current density distribution, potential gradient and electrode-medium interface sense resistance value are collected;After normalization processing, loss characteristic map is constructed, and loss mapping matrix is generated;Supervised learning is carried out using long short-term memory residual network, and real-time consumption state weight value is output;Combined with operating condition parameters, the remaining life of each region is predicted based on Bayesian dynamic model, and critical wear area is labeled;When life is lower than preset threshold and consumption acceleration exceeds set value, output anode head replacement early warning instruction;The application realizes high-precision, dynamic monitoring and intelligent early warning of electrode anode body wear state, with good real-time and adaptability.

The invention belongs to the technical field of material performance optimization, and particularly discloses a carbon ceramic resistor microstructure optimization method based on a physical constraint embedded CNN, and the method comprises the steps: inputting a dual-channel digital matrix into a U-Net network for feature extraction and reconstruction, and obtaining an optimized microstructure diagram; carrying out finite element model modeling and simulation calculation on the optimized microstructure diagram to obtain simulation performance parameters; performing statistical analysis based on the sample parameters to obtain a physical constraint range of each physical parameter; iteratively updating parameters of the convolutional neural network based on the simulation performance parameters and the physical constraint range to obtain an optimized network meeting physical constraints; and comparing the difference of the current density distribution in each state to complete optimization effect evaluation. According to the method, the technical closed loop from microstructure characterization to process parameter optimization is realized, a scheme is provided for improving the energy tolerance performance of the carbon ceramic resistor, the structure design and the preparation process of the high-performance carbon ceramic resistor can be promoted, and the efficiency and the reliability of the optimization method are improved.

The invention relates to an ecological restoration area intelligent identification method based on multi-source data and model integration. The method comprises the following steps: acquiring a multi-source remote sensing image, terrain and soil attribute data, and generating a multi-source data base and an ecological source land set through feature extraction; constructing an ecological resistance surface based on the multi-source data base; performing circuit theoretical simulation based on the ecological resistance surface and the ecological source ground set, and generating a reference current density distribution diagram and a reference equivalent connectivity index; generating a connected gain distribution diagram based on the ecological resistance surface and the multi-source data base virtual restoration; calculating a gain-cost ratio based on the connected gain distribution map, the terrain gradient and the road distance data, and generating a preferential restoration potential distribution map; and performing spatial clustering analysis based on the preferential restoration potential distribution map to generate an ecological restoration key area. By adopting the method, benefits and cost can be considered, and the ecological restoration key area can be accurately identified.

The invention provides a permanent magnet crack detection method and a permanent magnet crack detection device, which are characterized in that a pair of current probes are utilized to introduce stable direct current or alternating current into a permanent magnet to be detected, and one or more potential probes are utilized to measure potential differences of contact points of the probes and the permanent magnet relative to a reference end. By comparing the measured values of the to-be-measured permanent magnet and the crack-free standard permanent magnet which are the same in shape, size and material, whether current density distribution abnormity caused by cracks exists in the to-be-measured permanent magnet or not is judged, and then the crack degree of the to-be-measured permanent magnet is evaluated and screened. Compared with the existing machine vision, eddy current, ultrasonic and magnetic powder detection technologies, the method has the beneficial effects that the requirement on the surface smoothness of the permanent magnet is low, the detection depth is large, the permanent magnet is not easily interfered by the residual magnetic flux density of the permanent magnet, and the detection efficiency is high.