1974 results about "Electromagnetics fields" patented technology

The invention provides an intelligent eddy current nondestructive testing method and system based on a flexible GMR sensor array, and relates to the technical field of nondestructive testing. According to the invention, a GMR sensor array and a micro excitation coil array are integrated on a flexible substrate, and synchronous acquisition under multi-frequency and multi-phase excitation is realized by establishing a probe-workpiece unified space coordinate system and a time synchronization reference; performing temperature drift compensation, attitude correction and gap normalization processing on the original response tensor to generate a corrected response tensor; the intelligent inversion model based on the prior constraint of the electromagnetic field jointly identifies the conductivity, the thickness and the crack parameters, and outputs a defect parameter map and a confidence map; and a detection report containing the position, the size, the depth and the confidence coefficient is generated through spatial clustering and connectivity analysis, so that high-sensitivity and high-reliability nondestructive detection under a complex curved surface structure is realized.

The invention discloses a transformer substation positioning and navigation method and system integrating positioning and visual auxiliary positioning. The method comprises the following steps: establishing a background electromagnetic field distribution baseline graph associated with a three-dimensional reference map; electromagnetic field data of the transformer substation in an emergency response mode is collected through the unmanned aerial vehicle, and the abnormal field intensity of a space electromagnetic field and a fault source pointing vector pointing to a fault source are calculated; constructing a risk adaptive elliptical forbidden zone; calculating a passage cost index Cto of the unmanned aerial vehicle passing through each three-dimensional grid in the three-dimensional reference map by using the fault source pointing vector and the risk adaptive elliptical forbidden zone; and searching a path which is from the current position of the unmanned aerial vehicle to a preset target point, bypasses the risk adaptive elliptical forbidden zone, faces the fault source and has the lowest total passing cost index Cto by adopting a preset path search algorithm. According to the method, the risk self-adaptive elliptical forbidden zone is constructed and is used as the three-dimensional grid forbidden assignment processing, so that the dynamic global path avoidance of the sudden dangerous zone is realized.

The invention discloses a broadband wave-absorbing material based on an MAX-phase metasurface structure and an impedance matching optimization method of the broadband wave-absorbing material. The wave-absorbing material comprises an MAX-phase ceramic substrate and periodic metasurface structures which are arranged on the surface of the MAX-phase ceramic substrate in an array mode and composed of conductive resonance units. The resonance units are isolated through gaps, an equivalent R1L1C1 series resonance circuit is formed in an electromagnetic field, and a base body is equivalent to a parallel resistor R2. By establishing an equivalent circuit model and optimizing parameters R1, L1, C1 and R2, impedance matching of the wave-absorbing material in a target frequency band can be regulated and controlled, so that the wave-absorbing material at least has an absorption peak of which the reflection loss is less than-10 dB. According to the optimization method, electromagnetic simulation and circuit simulation are combined, optimized circuit parameters are reversely mapped into structure geometric parameters, material preparation is guided, and accurate design and broadband absorption of the wave absorbing performance are achieved.

The invention discloses an electromagnetic field simulation grid adaptive generation method based on a neural network. The method comprises the following steps: performing mesh generation on a semiconductor device simulation model to obtain original generation data, and constructing node features; an undirected graph is constructed, graph nodes of the undirected graph adopt node features of grid points, and connecting edges adopt Euclidean distances between the grid points and adjacent grid points; inputting the undirected graph into a double-branch neural network, and outputting a predicted node position; and correcting each node of the original subdivision data by using the predicted node position obtained by the double-branch neural network to form new subdivision data for electromagnetic field simulation. According to the method, physical field information can be fused to efficiently adjust the node density, and the geometric boundary and topological structure characteristics of the device can be strictly kept.

The invention provides a high-precision laser additive manufacturing method and device based on metal powder melting, and relates to the technical field of metal additive manufacturing, and the high-precision laser additive manufacturing device comprises a multi-element powder supply and electrification unit which is used for carrying out independent metering supply and airflow dispersion mixing on various metal powder in an inert atmosphere environment and enabling powder particles to obtain controllable charges; the electromagnetic field cooperative control unit is used for actively regulating and controlling the falling speed and the transverse track of the powder particles through the cooperative effect of a longitudinal magnetic field and a transverse electric field when the powder particles are in a charged state; the invention provides a metal powder forming technology path based on particle size active conveying and spatial positioning, and active conveying and accurate positioning of the metal powder particles in the flying process are realized by performing electrified regulation and control on single or small-scale metal powder particles and utilizing the action of an electromagnetic field. Therefore, layer-by-layer stacking forming is completed under the condition of not depending on the whole powder laying layer.

The invention relates to the field of vacuum circuit breakers, in particular to a vacuum circuit breaker opening and closing dynamic characteristic calculation method, device and equipment and a medium. Establishing a three-dimensional geometric model of the pole-mounted vacuum circuit breaker arc extinguish chamber and the moving and static contacts; setting material attributes for each part in the three-dimensional geometric model; constructing a multi-physics field coupling system; the area where the moving contact is located is divided into movable grids, and the grid density of the moving contact and the grid density of the static contact dynamically change along with time; and performing multi-field coupling transient solution according to the three-dimensional geometric model, the multi-physical field coupling system and the movable grid to obtain the dynamic characteristics of the vacuum circuit breaker. The electromagnetic field, the thermal field, the fluid field, the structure field and the circuit are subjected to full coupling analysis, multi-physical field strong coupling dynamic simulation of the whole opening and closing process is achieved, and the dynamic characteristics of the whole opening and closing process can be accurately calculated.

The invention relates to the technical field of electric field measurement, in particular to a non-contact electric field sensor design method and system, and the method comprises the steps: carrying out the electromagnetic analysis and shielding structure topological optimization based on the environment characteristics of a transformer substation, and generating mechanical design parameters; shielding structure parameters are formed through material selection and electrode optimization, a three-dimensional electromagnetic field simulation model is established, and multi-scene interference simulation and sensitivity verification are carried out; and configuring a temperature compensation circuit and optimizing circuit parameters, performing dynamic response analysis and material matching degree evaluation through a high-frequency material test platform, and finally generating sensor specification parameters. According to the method, the anti-interference performance, the measurement precision and the stability of the sensor are remarkably improved, and the method is suitable for high-precision electric field measurement in a complex electromagnetic environment.

This invention provides a Rydberg-atom based electromagnetic field detector array comprising a plurality of Rydberg-atom based electromagnetic field detectors, wherein each Rydberg-atom based electromagnetic field detector is divided into a plurality of units, each unit of the plurality of units being either: a variable transparency unit configured to vary its transparency by the Electromagnetically Induced Transparency, EIT, effect and further vary its transparency in response to an incident electromagnetic field, or a separator unit, wherein a sequence of one or more variable transparency units and one or more separator units of the plurality of units for a Rydberg-atom based electromagnetic field detector uniquely identifies that Rydberg-atom based electromagnetic field detector in the Rydberg-atom based electromagnetic field detector array.

The invention relates to a physical constraint fused graph structure UNet neural network for long-time time domain difference optical simulation method and system, and the method comprises the steps: 1, randomly constructing a device parameter data set through an FDTD method, obtaining FDTD uniform grid data, and carrying out the data preprocessing; 2, constructing a graph structure Unet model; 3, inputting the device parameter data set into the graph structure Unet model for end-to-end training; 4, predicting electromagnetic field scattering after a long-time light source encountering period is carried out on given device parameters and initial electromagnetic field distribution; and 5, comparing the electromagnetic field distribution of different device shapes, which is predicted for a long time, with the electromagnetic field value calculated by FDTD, and further judging the prediction accuracy of the graph structure Unet network model. According to the method, one-time long-time sequence prediction of electromagnetic scattering is completed by using the graph structure Unet model.

The invention discloses a synchronous reluctance motor magnetothermal coupling rapid calculation method based on a dynamic thermal network, and belongs to the technical field of motors. Comprising the following steps: calculating motor loss by adopting a finite element electromagnetic field model, and calculating a convective heat transfer coefficient by adopting a finite element fluid field model; constructing a three-dimensional thermal network comprising conduction, contact, convection thermal resistance, thermal capacity and a heat source, and solving to obtain an average temperature and a boundary temperature of component nodes; constructing a sub-domain temperature field calculation model of the heat source component, and calculating temperature distribution in combination with boundary conditions; introducing average temperature compensation thermal resistance and carrying out dynamic correction; carrying out magnetothermal coupling iteration, and updating the loss and the temperature until the precision is met; and introducing maximum temperature compensation thermal resistance into the thermal network, and solving to obtain an average temperature and a maximum temperature transient temperature rise curve of each component. Based on the technical means of combining electromagnetic field and fluid field finite element simulation with thermal network and subdomain temperature field calculation, efficient calculation of magnetothermal coupling of the synchronous reluctance motor is achieved.

An additive manufacturing device and method with interlayer ultrasonic rolling coupled in-situ electromagnetic induction heating, the device includes an additive manufacturing equipment, a substrate turntable for supporting and adjusting a component's position, an ultrasonic rolling device and an electromagnetic induction heating device cooperated with a top of the component; an ultrasonic controller connected to the ultrasonic rolling device to set rolling parameters required, and an electromagnetic controller connected to the electromagnetic induction heating device to set a current intensity and an induction frequency required. The device and method utilize eddy currents generated by an alternating electromagnetic field to regulate component surface temperature, which can significantly reduce ultrasonic rolling resistance, improve interlayer strengthening efficiency, reduce interlayer strengthening costs, broaden the range of materials suitable for interlayer strengthening, close defects in AM metal components and improve component forming quality and density, and has a positive impact on AM metal materials.

A establishing method of a reconfigurable intelligent surface radio frequency model includes calculating a first power ratio between a first receiving antenna and a first transmitting antenna according to a first wireless transmission equation; calculating a second power ratio between a second receiving antenna and a second transmitting antenna according to a second wireless transmission equation, wherein a reconfigurable intelligent surface is disposed between the second transmitting antenna and the second receiving antenna, and separated from the second transmitting antenna by a reference distance; calculating the first power ratio, the second power ratio and a path loss corresponding to the reference distance to obtain a relay gain of the reconfigurable intelligent surface; and establishing the reconfigurable intelligent surface radio frequency model based on a loss correction value and the relay gain.

The embodiment of the invention provides a switch cabinet partial discharge quantum sensing monitoring device. The device is applied to the technical field of power equipment monitoring, and comprises a light path regulation and excitation module which is used for generating and beam-splitting detection laser of a quantum sensor coupled to each Rydberg atom; the quantum electromagnetic induction module acts on Rydberg atoms and a partial discharge electromagnetic field, and fluorescence or absorption spectrum characteristics of atomic energy level transition are changed; extracting a weak discharge signal, and converting the weak discharge signal into an analyzable electric signal; the signal processing and diagnosis module is combined with spatial information acquired by a quantum sensor of doydberg atoms in a distributed manner, and a time-frequency analysis and pattern recognition algorithm is adopted to extract discharge characteristic quantity; partial discharge positioning, type identification and insulation state evaluation are realized based on the parameters, and a real-time monitoring result and early warning information are output. In this way, through deep fusion of quantum sensing and advanced signal processing, a high-precision and high-reliability technical solution is provided for power equipment state monitoring.

The invention relates to the technical field of coal bed gas development, and particularly discloses a numerical simulation method for multi-field coupling and microwave enhanced drainage and mining of a deep coal bed, which realizes accurate simulation of the whole process of drainage and mining of deep coal bed gas through six key steps: firstly, obtaining a coal bed parameter system; establishing a temperature coupling adsorption and desorption model, and quantifying the influence of the high ground temperature environment on the gas occurrence by correcting a Langmuir equation; constructing a dual-medium heat-gas-liquid-solid full-coupling control equation set which covers coal deformation, gas-water two-phase seepage, heat transfer and electromagnetic field equations; a microwave heat effect model is defined, and electromagnetic energy-heat energy conversion is calculated through a dielectric constant mixing model; deducing a porosity / permeability dynamic evolution equation, and coupling effective stress, matrix shrinkage and a thermal expansion effect; and finally, a COMSOL Multiphysics platform is adopted to realize multi-field coupling solution, and a productivity index is calculated through well circumference integration. According to the method, the inherent limitation of a static parameter model is overcome, and the precision and efficiency of numerical simulation are remarkably improved.

The invention discloses an earthquake forecasting and tsunami early warning method and system, and the method comprises the steps: monitoring the earth electromagnetic field data in real time, and recognizing and extracting a regional transient electromagnetic signal which accords with a preset abnormal feature as an earthquake precursor signal; taking the position of the precursor signal as a reference, and predicting the earthquake generation time, the magnitude and the potential influence area based on an earth crust stress wave propagation model; when the early warning condition is met, earthquake early warning information containing risk avoiding guidance is generated and issued, and if the prediction area relates to the coastal area and the earthquake magnitude reaches a threshold value, tsunami early warning information is synchronously generated and issued. The corresponding system comprises a geomagnetic monitoring module, a forecast analysis module and an early warning issuing module. According to the method, pre-earthquake prediction based on the physical precursor is realized, the prediction time is remarkably prolonged, the problems that earthquake and tsunami early warning information is separated and published lags are solved, and the disaster response capability is improved.

The invention provides a terahertz tunable polarization converter and a design method thereof. The polarization converter is composed of three layers of metasurface structures. A Fabry-Perot cavity is formed through an orthogonal grating, horizontal polarization destructive interference and cross polarization constructive interference are achieved through polarization selectivity, and therefore the cross polarization average conversion efficiency up to 95% or above is achieved. Meanwhile, the working frequency of the device can be effectively adjusted by adjusting the interlayer spacing. The design method comprises the specific implementation steps that the initial structure size and the material attribute of the three-layer metasurface are set; setting an objective function representing the performance of the terahertz polarization converter, and importing the initial structure of the polarization converter into electromagnetic field simulation software for simulation to obtain an objective function value of the initial structure of the polarization converter; and performing iterative optimization on the three-layer metasurface initial structure by using a multi-target particle swarm optimization algorithm until the optimized structure meets the target requirement, and obtaining the optimal design parameters of the metasurface structure.

The invention relates to the technical field of electromagnetic compatibility, in particular to a new energy automobile electronic part EMC (Electro Magnetic Compatibility) multi-dimensional simulation verification method, which comprises the following steps of: based on a geometric structure and material attributes of a new energy automobile electronic part, identifying an abnormal field intensity region, extracting a signal path and an electromagnetic wave incident direction, and analyzing an overlapping relationship between the signal path and the electromagnetic wave incident direction; according to the method, the electromagnetic field distribution and the interference source of the parts are accurately modeled and analyzed, the shielding and filtering design is optimized, the electromagnetic compatibility is improved, the interference coupling point is identified, the shielding effectiveness and the filtering effect are evaluated, the optimization policy is identified, the electromagnetic field distribution after optimization is analyzed, the fluctuation data of the external electromagnetic field is captured, and the influence evaluation list of the external electromagnetic field is generated. The reliability of the design under actual working conditions is ensured, electromagnetic interference is prevented, stable work of parts in a variable electromagnetic environment is ensured, the electromagnetic compatibility of the whole automobile is improved, the influence of electromagnetic interference on the functions of the new energy automobile is reduced, the design effect is optimized, and the performance and safety are improved.

The invention discloses a magnetotelluric sounding measurement method for multidirectional aggregation observation, and the method comprises the steps: building a novel device layout: designing a reasonable measurement point layout scheme according to geological features and electromagnetic response distribution; processing data and establishing an unstructured grid: acquiring an electromagnetic field component, completing data acquisition, and inputting the processed electromagnetic field data into an unstructured grid model; impedance tensor calculation: on the basis of the unstructured grid, performing impedance calculation by utilizing multi-component electromagnetic field data and combining an interpolation idea, and constructing an extended impedance tensor of an electromagnetic field component to obtain an impedance value component; and three-dimensional inversion and visualization: performing three-dimensional inversion through a vector finite element method to obtain an inversion result. According to the method, richer observation data are provided for deep geologic structure inversion.

The invention relates to the field of medical treatment, and discloses a method for treating chronic insomnia by percutaneous magnetic stimulation of stellate ganglion block, which comprises the following steps: preprocessing: determining the initial position of stellate ganglion, tissue initial parameters and initial stimulation parameters through multi-modal image positioning and initialization to obtain reference data; dynamic sensing: collecting neck tissue displacement data, temperature field data and electromyographic signals in real time, and calculating spatial position variation of stellate ganglions and time-varying parameters of tissue electromagnetic characteristics; and modeling optimization: constructing a time-varying electromagnetic field distribution model based on the reference data, the spatial position variable quantity and the time-varying parameters. The method comprises the following steps: acquiring neck tissue displacement, a temperature field and an electromyographic signal in real time through reference data, capturing a stellate ganglion space position change and tissue electromagnetic property time-varying rule, constructing a time-varying electromagnetic field distribution model, and solving target stimulation parameters adaptive to a real-time tissue state through an optimal control algorithm.

The invention discloses an electromagnetic field simulation method under the coupling action of tidal waves and sea waves. The method comprises the steps that input parameters of the tidal waves and the sea waves are set; configuring environmental parameters and geomagnetic conditions; superposing the tidal wave velocity field and the sea wave disturbance velocity field to form a total velocity field; the tidal wave part and the sea wave part are linearly coupled in time and space to obtain a tidal wave-sea wave coupling field evolved along with a tidal phase; in the tidal wave-sea wave coupling field, electromagnetic response calculation is executed on each frequency-direction sampling point; general field synthesis and modulation effect analysis: introducing a tidal wave modulation factor to clearly reflect amplitude periodic change and spectrum reconstruction characteristics of an electromagnetic field signal along with a tidal phase; and outputting a time sequence, an amplitude spectrum and a spatial distribution result of the comprehensive electromagnetic field. According to the method, the authenticity and applicability of sea wave induction electromagnetic field simulation can be improved, and a new technical means is provided for electromagnetic noise recognition, sea wave parameter inversion and complex ocean dynamics process research.

The utility model relates to the field of electromagnetic field detection, in particular to an electromagnetic field detection device of an internet of things sensor, which comprises a shell, a circuit board, a shielding cover, a detection probe, a signal processing module and a signal transmission module. The detection probe can collect electromagnetic field signals in the environment where the detection probe is located and send the collected signals to the signal processing module, and the signal processing module sends the processed signals to the signal transmission module and sends the processed signals to the cloud server. According to the utility model, the internal circuit board is isolated from the external electromagnetic field environment through the shielding cover, so that the influence of the electromagnetic field in the external environment on the internal circuit is reduced.

The invention discloses an internal wave electromagnetic response numerical simulation method based on a layered ocean model. The method comprises the following steps: acquiring geomagnetic field parameters; calculating distribution characteristics of seawater conductivity along with depth, and dispersing the distribution characteristics into a layered ocean conductivity model; an internal wave mechanical model is constructed, internal wave velocity field distribution is established through characteristic parameters of internal waves, and dynamic input is provided for electromagnetic field response calculation; substituting the internal wave velocity field and the geomagnetic field into a Maxwell equation set, and constructing an internal wave induction electromagnetic field control equation; and applying tangential electric field continuity and normal current continuity conditions on a layered interface, and performing discrete and iterative solution on an equation by adopting a finite difference method to obtain distribution characteristics of the electric field and the magnetic field at different depths and frequencies. According to the method, the problem of insufficient precision caused by a uniform conductivity hypothesis is solved, and application limitation caused by an ideal geomagnetic field hypothesis is avoided, so that accurate simulation of internal wave induction electromagnetic response under a complex ocean condition can be realized.

The present invention relates to a method for synchronizing movement control and location recognition for a micro-robot by using a bed-integrated electromagnetic field apparatus, and more specifically to a method for synchronizing movement control and location recognition for a micro-robot by using an electromagnetic field apparatus which enables precise movement control for a micro-robot and simultaneously enables location recognition for the micro-robot, and enables miniaturization of the apparatus, thereby having excellent compatibility with other medical equipment.

A method of processing waste consumable aerosol-generating articles by pyrolysis, the method comprising the steps of: feeding waste consumable aerosol-generating articles into a pyrolysis reactor, the aerosol-generating articles comprising at least some aerosol-generating articles comprising an aerosol-generating substrate with a metallic susceptor; heating the aerosol-generating articles in the pyrolysis reactor to a temperature sufficient to cause pyrolysis of non-metallic components of the aerosol-generating articles into gaseous products and char, wherein the temperature is less than a melting temperature of the metallic susceptors; extracting the gaseous products from the pyrolysis reactor and feeding the gaseous products to a condensing separator; and feeding the char from the pyrolysis reactor to a magnetic separator and separating the metallic susceptors from the char by applying a magnetic field; wherein at least some of the heat in the pyrolysis reactor is generated by applying an alternating electromagnetic field to the aerosol-generating articles so as to induce eddy currents in the metallic susceptors.

The invention discloses a stamping die process data processing method and system based on big data analysis, and relates to the field of die management, and the method comprises the steps: outputting a crack feature vector; extracting standardized ultrasonic detection data of the stamping die; forming a process comprehensive damage detection result of the stamping die; and dynamically adjusting detection parameters of the electromagnetic field sensor and the ultrasonic sensor. The electromagnetic field frequency and intensity, the ultrasonic transmitting power, the pulse width and the beam focusing are dynamically optimized, adaptive adjustment of parameters of each region is achieved, and it is ensured that the optimal detection effect can be obtained under different material conditions. Meanwhile, closed-loop feedback and multi-source fusion ensure that the system is stable and reliable, the risk of false detection and missing detection is reduced, the controllability and practicability of the detection process are improved, and reliable technical support is provided for efficient and intelligent detection of the stamping die.

The invention discloses a follow-up type double-face induction heating auxiliary incremental forming device, method and equipment and a medium, and relates to the field of sheet metal forming. The forming tool heads are fixed to the tail end of the mechanical arm, the two sides of the to-be-machined plate are each provided with one forming tool head, and the forming tool heads are used for extruding the to-be-machined plate to enable the to-be-machined plate to deform; and the electromagnetic induction heating device is rotationally connected with the mechanical arm through a mounting bracket, and the electromagnetic induction heating device is used for providing an electromagnetic field to heat the to-be-processed plate. And the processing performance of the plate is improved in an electromagnetic induction auxiliary heating mode.

The invention discloses an electromagnetic field intelligent calculation method based on deep learning, and the method specifically comprises the steps: inputting a space-time input vector into an MFF-PINN neural network, the MFF-PINN neural network comprises parallel sub-networks and a linear superposition module, the sub-network comprises a scale transformation module, a Fourier feature transformation module and an MLP processing module, and the MFF-PINN neural network comprises a linear superposition module; firstly, scale transformation is carried out on a space-time input vector, then Fourier feature transformation is carried out on the vector after scale transformation, and the Fourier feature transformation module carries out Fourier transformation on the vector after scale transformation based on an effective frequency matrix; all the sub-networks share the Fourier feature transformation, and the output obtained by the Fourier feature transformation is input to the MLP processing module in the first sub-network; and carrying out linear superposition on the output of the sub-networks. According to the invention, the expression capability of the network on the high-frequency component and multi-scale characteristics of the electromagnetic field is obviously enhanced.

An antenna device for automotive radar applications includes a printed circuit board having a front face and a back face and an electronic component which is interconnected to the printed circuit board and an antenna layer having a front face and a back face, which back face is interconnected to the front face of the printed circuit board. At least one waveguide aperture is interconnected to the front face of the antenna layer and is communicatively connected to the electronic component by at least one waveguide channel, wherein the at least one waveguide channel comprises a conductive surface for guiding an electromagnetic field between the electronic component and is formed by a recess arranged between the back face of the antenna layer and the front face of the printed circuit board.

In the system, an electromagnetic simulation module establishes a three-dimensional electromagnetic field model of the transformer based on a finite element method, and calculates magnetic field distribution, winding eddy current loss and iron core hysteresis loss to obtain loss data; the fluid-solid coupling calculation module is connected with the electromagnetic simulation module so as to simulate a transformer oil flowing and heat conduction process based on computational fluid dynamics; the optimization design module is connected with the fluid-solid coupling calculation module so as to perform parametric modeling and optimization on the winding structure, the cooling channel and the cooling fin layout through the hot spot position and temperature distribution based on a multi-target genetic algorithm and an agent model; the state evaluation and heat dissipation adjustment module is connected with the data interaction layer so as to analyze the health state of the transformer based on sensor data and simulation results, predict the hot-spot temperature trend and dynamically adjust operation parameters of the cooling system through a self-adaptive heat dissipation adjustment algorithm.

The invention discloses an unmanned aerial vehicle insulator zero-value acousto-optic detection method and an unmanned aerial vehicle insulator zero-value acousto-optic detection device, relates to the technical field of insulator detection, and solves the problems of poor detection safety, low efficiency and insufficient precision in the prior art. Establishing a coordinate system to generate flight control parameters to realize precise hovering; based on the distance vector, the rotatable multi-frequency coil group generates a spatial modulation electromagnetic field; the high-voltage testing device applies a cooperative modulation detection voltage according to electromagnetic field parameters to realize synchronous modulation of the two; the audio-video transmission device collects sound and light signals, and features are obtained through space-time fusion after distance attenuation compensation; constructing an evaluation model containing environment correction, and judging a zero value by taking 0.8 as a threshold value; according to the method, closed-loop detection is formed, the detection precision and efficiency are improved, and operation safety is guaranteed.