189 results about "Electric conductance" patented technology

The invention discloses a grounding grid electric heating power multi-field coupling modeling method and system considering soil nonlinear breakdown, and belongs to the technical field of power system grounding grids. The method comprises the following steps: establishing a three-dimensional geometric model containing a soil domain and a grounding grid conductor; defining non-linear conductivity characteristics of the soil; setting multi-physical field parameters and corresponding boundary conditions of the three-dimensional geometric model; and establishing a multi-physical field coupling control equation set including an electric field equation, a heat conduction equation and a thermal stress equation, and solving by adopting a finite element method to obtain three-dimensional space distribution data of the grounding grid under lightning current impact. According to the invention, on the basis of fully considering the nonlinear breakdown characteristic of the soil, the accurate simulation of the electric heating power multi-physical field behavior of the grounding grid under the impact current effect is realized, and the accuracy of impact impedance, potential distribution and temperature rise prediction is obviously improved.

The invention provides a brain deep electrical stimulation electrode parameter determination method and related equipment, and the method comprises the steps: building a head simulation model which comprises conductivity distribution; determining one or more target stimulation target spots and one or more non-target inhibition areas on the head simulation model; based on one or more target stimulation target spots and one or more non-target inhibition areas, multiple groups of electrode configuration schemes are determined through an electrode positioning method, each group of electrode configuration scheme is configured on the head simulation model, and multiple groups of stimulation simulation models are obtained; performing finite element solution based on the anatomical structure and the conductivity distribution of each group of stimulation simulation models, and optimizing the electric field intensity of one or more target stimulation target spots and the electric field intensity of one or more non-target suppression regions to obtain a plurality of electrode parameters; and determining a target electrode parameter in the plurality of electrode parameters, and taking an electrode configuration scheme corresponding to the target electrode parameter as a target electrode configuration scheme.

Systems and methods are provided for modeling and for providing a graphical representation of tissue heating and electric field distributions for medical treatment devices that apply electrical treatment energy through one or a plurality of electrodes. In embodiments, methods comprise: providing one or more parameters of a treatment protocol for delivering one or more electrical pulses to tissue through a plurality of electrodes; modeling electric and heat distribution in the tissue based on the parameters; and displaying a graphical representation of the modeled electric and heat distribution. In another embodiment, a treatment planning module is adapted to generate an estimated target ablation zone based on a combination of one or more parameters for an irreversible electroporation protocol and one or more tissue-specific conductivity parameters.

The invention discloses an electrical impedance tomography method, which integrates a physical model and deep learning to construct a deep learning framework with physical constraints so as to improve physical consistency and reconstruction precision. According to the method, a neural network based on an encoder-decoder structure is adopted, and measured boundary voltage is used as input to predict conductivity distribution of a target object; in order to improve the performance of the neural network, a physical Jacobian matrix is introduced, and the sensitivity of boundary voltage to conductivity is described; and constructing a physical regularization loss function, comparing a physically calculated Jacobi matrix with a neural network predicted Jacobi matrix, and combining a final total loss function with data error loss and physical consistency loss. According to the method, data driving model training is guided through physical constraints, combination of physical information and deep learning is achieved, the precision of electrical impedance reconstruction and the generalization ability of the model are remarkably improved, and a new solution thought is provided for the fields of medicine, flexible electronics, environment monitoring and the like.

The invention relates to the technical field of soil physical parameter in-situ measurement, and discloses a soil layer natural water content portable intelligent measuring instrument based on multi-source sensing fusion, which comprises a composite probe assembly and an intelligent measurement and control host which are physically connected, the composite probe assembly is configured to be inserted into a soil layer to be tested to construct a multi-physical field test environment, and an electrical transceiving unit and an acoustic transceiving unit are integrated in the composite probe assembly. By constructing a cross physical field excitation and multiphase parameter collaborative decoupling mechanism, a multidimensional dynamic correlation model is established by using the thermosensitive drift characteristic of the sound velocity of a mixed medium during thermal disturbance and the transient step response of a dielectric constant under an acoustic radiation force field; the problems that the coupling influence of the water content and the volume weight cannot be distinguished and the conductivity of bound water and the conductivity of free water are difficult to separate in a traditional means are effectively solved, and four independent physical quantities including the volumetric water content, the in-situ dry volume weight, the bound water content and the actual conductivity of pore water are synchronously inverted through a single probe. And the decoupling precision of the equipment on complex multi-phase soil medium parameters is improved.

Provided herein are apparatuses and methods of releasing or converting a gas. In some embodiments, an apparatus may include a gas flow cell having an inlet and an outlet for flowing a gas through said gas flow cell; a structured material within said gas flow cell, wherein the structured material has an electrical conductivity selected from the range of 3×10−15 S / m to 6.3×107 S / m; and a plasma source integrated with said gas flow cell, the plasma source being configured to generate a plasma within a portion of the gas flow cell, the plasma source comprising: a first electrode and a second electrode within said gas flow cell; and a power source configured to provide voltage to the first and second electrodes.

The invention discloses a cable material diameter detection method based on an eddy current impedance effect, and particularly relates to the field of cable nondestructive testing, which comprises the following steps: S1, synchronously acquiring the resistance and inductance of a coil under a low-frequency signal and the resistance and inductance of the coil under a high-frequency signal by adopting a double-frequency excitation eddy current sensor; the environment temperature and the lift-off distance between the sensor and the cable are measured; s2, denoising is carried out through a combinatorial algorithm, and temperature compensation is carried out on the resistance and inductance of a sensor coil and the conductivity of a cable core wire; s3, calculating a material sensitive factor under low frequency, calculating a line diameter sensitive factor under high frequency, and correcting when the lift-off distance deviates; s4, calculating a material deviation rate to judge the material, fitting a linear regression model, and combining with conductivity to correct the skin depth to calculate the line diameter; and S5, according to the material and the wire diameter, comprehensively determining progressive output, and triggering a corresponding alarm in case of abnormality. The problems of parameter coupling and incomplete temperature compensation are solved, and the detection precision and the environmental adaptability are improved.

The invention discloses a high-flexibility anti-interference fire-resistant cable for a robot and a preparation method thereof, and belongs to the technical field of wires and cables, the cable comprises an insulating wire core, the insulating wire core comprises a conductor, a shielding layer and an insulating layer, the conductor is formed by layering and twisting a plurality of anaerobic copper wires, tensile fibers are arranged in the middle of the conductor, the shielding layer is overlapped and lapped on the surface of the conductor, and the insulating layer is arranged in the shielding layer. A plurality of insulating wire cores and a filling layer are twisted into a cable, a composite belt is arranged on the outer side of the filling layer, the composite belt is made of glass fiber-aerogel, the overlapping rate is 15%-25%, and an inner shielding layer and an outer shielding layer are arranged on the outer side of the composite belt. And the outer side of the outer shielding layer is coated with a sheath layer. According to the invention, the composite belt can form a high-efficiency heat insulation layer in a fire hazard, and heat transfer to the wire core can be obviously delayed. The conductor is formed by stranding a plurality of oxygen-free copper wires in a layered manner, annealing is performed after stranding, and the aramid yarn is embedded in the conductor, so that the tensile stress to the metal conductor can be reduced, and the diameter of the conductor and the outer diameter of the whole cable are reduced while the conductivity and the transmission capability are maintained.

A current sensor may include: at least one magnetoelectric conversion unit; a current conductor through which a measurement current measured by the magnetoelectric conversion unit flows; and a conductor plate which at least partially overlaps the current conductor in plan view. A main body portion of the current conductor includes a first portion. A thickness of the conductor plate, magnetic permeabilities of the conductor plate and the current conductor, electrical conductivities of the conductor plate and the current conductor, a shortest distance between a magnetic sensing surface and the current conductor, a maximum width of the first portion, a shorter distance of a distance between the conductor plate and the current conductor and a distance between the conductor plate and the magnetic sensing surface of the magnetoelectric conversion unit, and a narrowest width in a portion, which crosses the magnetoelectric conversion unit, of the conductor plate satisfy a condition.

Examples include a functionalized compressible nonwoven material (CNM) cushion with a three-dimensional (3D) pressure-varying electrical conductance (PVEC) region. Integrated with the PVEC surface area is a conductive ink printed on thermoplastic film (CPT) single-sided conductance measurement coupling. The CPT single-sided conductance measurement coupling includes, on the thermoplastic film, N pairs of contact pads and N pairs of pad connection traces. The N pairs of contact pads are maintained, by thermoplastic adhesion, in direct electrical contact with the PVEC surface areas. The N pairs of connection traces extend from the N pairs of contact pads to trace terminals. A conductance measuring circuit selectively applies, via the N pairs of connection traces, voltage and a path to ground to the pairs of contact pads, and measures the resulting current.

The invention relates to the field of grounding technology and electrical measurement, and discloses a grounding electrode current diffusion characteristic and environment correlation analysis method, which comprises the following steps: acquiring a ground electricity state vector representing soil electrochemical characteristics; constructing and calibrating a state phase space evolution model for describing time-space evolution of the vector; an adaptive dynamic analysis closed loop is executed, a state vector at the next moment and uncertainty are predicted through the model, an adaptive sensing protocol is generated based on the uncertainty to guide new data collection, a prediction result is corrected through new data, and a corrected state vector is obtained; and finally, based on the continuous corrected state vector, analyzing the causal association between the environment and the state, reconstructing three-dimensional complex conductivity distribution, and determining current diffusion characteristics such as grounding impedance through numerical calculation. According to the method, the limitation of static evaluation in the prior art is solved, and the dynamic prediction of the performance of the grounding system and the physical tracing of the abnormal cause are realized.

The invention discloses a dam anti-seepage body integrity detection method based on an artificial power supply. Comprising the following steps: injecting a broadband excitation current signal into a dam anti-seepage body through a multi-frequency program control constant current source; a modular distributed electrode array is adopted to collect and obtain voltage data of the surface of the dam anti-seepage body in real time; high signal-to-noise ratio voltage data is obtained by adopting filtering processing and a digital phase-locked amplification technology; carrying out three-dimensional inversion calculation by adopting an improved electrical impedance tomography algorithm, and reconstructing an internal conductivity distribution image of the dam anti-seepage body; analyzing, identifying and positioning defects through a deep learning model; and constructing an electro-seepage coupling inversion model, converting the internal conductivity distribution image based on the dam anti-seepage body into permeability coefficient distribution, and generating an integrity evaluation report of the dam anti-seepage body. Compared with a traditional detection method, the method is high in detection precision, wide in application range and high in detection efficiency, and a brand new technical means is provided for evaluating the health state of the dam seepage-proofing body.

This invention relates to the field of machine learning technology, and particularly to a machine learning control method for LIG laser-induced high thermal conductivity and high electrical conductivity performance. The method includes calculating the contribution weights of processing parameters to dual performance characteristics, identifying key dominant and auxiliary parameters, and generating a training dataset for both performance characteristics. Two machine learning models are trained separately to obtain initial core hyperparameters for the two prediction models, and then the core hyperparameters are tuned. The two prediction models process candidate datasets respectively, outputting thermal conductivity and electrical conductivity prediction sets, and a comprehensive evaluation is performed to obtain recommended laser processing parameters. The contribution weights of key related laser processing parameters are updated based on a comparison between the target dual performance characteristics and the measured dual performance characteristics. The recommended laser processing parameters are then trained and updated again. By training the dual performance relationship model using the contribution weights of processing parameters and optimizing hyperparameters from multiple aspects, global collaborative optimization is achieved, enabling rapid and accurate prediction of the dual performance characteristics of LIG thermal conductivity and electrical conductivity.

The invention relates to the technical field of grounding grid fault diagnosis, and provides a grounding grid fault diagnosis method, which comprises the following steps: S1, building a corrosion fault diagnosis model according to an electric network theory method, iteratively solving the corrosion fault diagnosis model by adopting a seasonal optimization algorithm SOA, obtaining resistance change multiplied speed of each branch in a grounding grid, and determining a corroded branch or region; s2, based on the determined corroded branch circuit or region, injecting current through a grounding down lead of the power equipment, performing finite element analysis on the corroded branch circuit or region by utilizing an electrical impedance tomography (EIT) technology, and reversely deducing conductivity distribution to generate a two-dimensional chromatographic image; and S3, based on the resistance change multiplied speed of each branch and the generated two-dimensional chromatographic image, determining the specific position and corrosion degree of the corrosion fault of the grounding grid in the soil environment through a preset threshold value and a chromatographic gradient. The method aims to make full use of the advantages of respective technologies and make up for the defects of the technologies, so that the high efficiency and accuracy of grounding grid corrosion fault detection are realized.

This invention discloses a method for predicting the dynamic conductivity of biological tissues considering the pulse dispersion effect. The method includes: constructing a two-dimensional dual-needle electrode geometric finite element model, setting boundary conditions and initial treatment parameters; introducing a Debye function into the finite element model to characterize the change of tissue dielectric constant with frequency; performing frequency domain analysis on the applied pulse signal and converting the Debye function from the frequency domain to the time domain, allowing the polarization vector to couple with the electric field to participate in transient solutions, thereby obtaining a voltage and current dataset including the effect of pulse dispersion; constructing a tissue dynamic conductivity prediction model and training the prediction model using the voltage and current dataset; inputting the voltage and current response data of the tissue to be determined into the trained model to obtain the tissue dynamic conductivity prediction result. This invention can improve the consistency between the finite element current calculation results and the actual tissue electrical response, and improve the accuracy of tissue dynamic conductivity prediction. It is applicable to dynamic conductivity prediction in electroporation therapy, providing a reference for electroporation therapy.

Methods include functionalizing, into a compressible pressure varying electrical conductance device, a portion of a compressible nonwoven material (CNM) cushion. A process includes forming within a three-dimensional (3D) target region of the CNM cushion a columnar distribution of non-solidified conductive polymer, and converting the columnar distribution of non-solidified conductive polymer into a columnar compressible pressure varying electrical conductance structure. The columnar distribution of non-solidified conductive polymer extends along a column axis. Forming the columnar distribution includes injecting into at least a portion of the 3D target region a liquid carrying conductive polymer in suspension. The columnar compressible pressure varying electrical conductance structure includes mutually separated masses of solidified conductive polymer respectively supported by mutually separated flexible fibers of the compressible nonwoven material. Optionally, forming the columnar distribution of non-solidified conductive polymer includes a first injection followed by partial drying, and a second injection.

This invention belongs to the field of plant seedling technology, specifically relating to a method for improving the survival rate of Forsythia suspensa cuttings. Specifically, fruiting mother trees are selected, and semi-lignified branches of the current year are collected as cuttings, retaining plump buds. The cuttings are soaked in a rooting agent compound solution and then dried for later use. The treated cuttings are then inserted into a gradient substrate and thoroughly watered after planting. The stomatal conductance of the cutting leaves and the electrical conductivity at the base of the cuttings are monitored in real time. The substrate temperature, spraying frequency, shading rate, and ventilation are adaptively adjusted in a closed-loop manner according to the physiological thresholds of different rooting stages of Forsythia suspensa cuttings. Stress-resistant fertilizer is applied according to the physiological state of the cuttings, and disease control and daily management are carried out. This method improves the survival rate of Forsythia suspensa cuttings, reduces the rate of cutting rot, exhibits strong environmental adaptability, and high seedling stability.

The invention relates to the technical field of high-voltage direct-current cables, in particular to a load circulation system of a high-voltage direct-current cable system and an operation method, and the system comprises a temperature circulation module which comprises a PID temperature control unit and a conductor heating unit, and the conductor heating unit is electrically connected with the PID temperature control unit; the multi-polarity voltage loading unit is provided with a high-voltage source, and the high-voltage source can output voltage from the negative polarity to the positive polarity; and the distributed electric field sensor is embedded at the interface of the cable accessory stress cone and the insulation, and the distributed electric field sensor is in contact with the surface of the cable accessory stress cone. The method has the beneficial effects that the tangential electric field distribution at the cable accessory stress cone and the insulation interface is monitored in real time through the distributed electric field sensor, and the maximum electric field intensity is reduced in combination with the low ripple design of the multi-polarity voltage loading unit and the design of the interface conductivity matching layer, so that the electric field distortion and the surface discharge risk are effectively inhibited, and the reliability of the cable accessory is improved. And the operation stability of the high-voltage direct-current cable system under complex working conditions is improved.

A system and method of analyzing a micro-volume sample using two measurements of the sample's electrical conductivity to measure the sample's temperature is described herein. The system includes a first surface, a second surface, and an electronic processing unit. The second surface is positioned opposite the first surface for holding the sample between the first surface and the second surface by surface tension. The electronic processing unit is configured to apply at least one electrical signal across the sample via a first electrode and a second electrode, determine a first electrical conductivity of the sample at a first frequency associated with the at least one electrical signal and a second electrical conductivity of the sample at a second frequency associated with the at least one electrical signal based on the at least one electrical signal applied across the sample, and determine a temperature of the sample based on the first electrical conductivity and the second electrical conductivity.

The invention provides an oxidation stability evaluation method, detection equipment and a detection method for agent-free transformer oil, and belongs to the technical field of power grid power transmission and transformation. According to the method, copper wires are added into the agent-free transformer oil, air is introduced into the agent-free transformer oil at a preset experimental temperature in a preset experimental period, oxidation of the agent-free transformer oil is accelerated, and the conductivity value of volatile acid in the oil oxidation process is continuously monitored; and evaluating the oxidation stability of the transformer oil without the additive according to the conductivity value of the volatile acid in the preset experimental period. According to the method, the oxidation stability evaluation efficiency of the agent-free transformer oil is improved, the working intensity and technical requirements of operators are reduced, and the cost is reduced.

The invention discloses an aluminum alloy cable accessory conductor material with high thermal cycle performance and a preparation method thereof, and relates to the technical field of aluminum alloy conductor materials. The conductor material comprises the following components in percentage by mass: 0.5-1.5% of Si, 0.05-0.15% of Mg, 0.07-0.08% of Fe, 0.05-0.1% of Cu and the balance of Al and inevitable impurities, wherein the mass ratio of Si to Mg is controlled to be (10-30): 1; through component optimization and process innovation, the relation between the conductivity and the thermal cycle performance of a conductor material is effectively balanced, the thermal cycle performance of the material is remarkably improved, the use requirement of a power transmission conductor in a specific environment is met, and in 1000 times of thermal cycle tests carried out according to the GB / T 9327-2008 standard, the excellent resistance stability is shown, and the thermal cycle performance of the conductor material is greatly improved. The resistance ratio variation D is less than or equal to 0.10, the average dispersion beta is less than or equal to 0.25, and the conductivity is more than or equal to 62% IACS, so that the composite material is particularly suitable for cable connection fittings with strict requirements on long-term electrical connection stability.

The application relates to the technical field of electrolyte, and discloses an electrolyte for high-conductivity high-water-content wide-temperature-range aluminum electrolytic capacitors and a preparation method thereof, which comprises main solutes 5-20%, auxiliary solutes 0.5-5%, solvents 50-90% and additives 0.5-10% in percentage by mass. The electrolyte prepared by the application has a conductivity of 38 ms / cm, a water content of not less than 40%, and a flashover voltage of 210 V. The electrolyte of the application can effectively reduce the vapor pressure of the electrolyte, inhibit gas generation, reduce the internal pressure of the capacitor and improve the high-temperature performance of the electrolyte through the cooperation between raw materials. The electrolyte of the application has stable high-temperature performance, a wide use temperature range and high oxidation efficiency, and the aluminum electrolytic capacitor assembled by using the electrolyte can be reliably and continuously operated for more than 3000 hours under the environment of-40 DEG C to +105 DEG C.

The application belongs to the field of hypersonic active flow control, and discloses a drag reduction and heat protection system and method for a hypersonic aircraft. The method combines energy deposition and magnetic fluid flow control. Energy deposition has excellent drag reduction characteristics, which can bring good drag reduction effect to the aircraft. Meanwhile, energy deposition can be used as auxiliary ionization technology to improve the magnetic control effect of magnetic fluid flow control by improving the electrical conductivity of the fluid. Magnetic fluid flow control has outstanding heat protection performance, which can bring excellent heat protection effect to the aircraft after dealing with the heat flow growth caused by energy deposition. Meanwhile, the Lorentz force of the magnetic field fully suppresses the resistance impact and shock caused by pulse energy deposition. The method can achieve better hypersonic drag reduction and heat protection effect, effectively reduce the resistance of the hypersonic aircraft and improve the heat protection ability of the aircraft, and has wide application prospect.

The utility model relates to the technical field of wastewater conductivity measurement, in particular to a conductivity measurement assembly suitable for high-temperature and high-salinity wastewater, which comprises a conductivity instrument, an electrode, a flow cell, a connecting valve I, a connecting pipe I, a connecting valve II, a connecting pipe II and a three-way joint, the conductivity meter is electrically connected with the electrode, the electrode is mounted at the inner top of the flow-through cell, a bottom port of the flow-through cell is connected with the three-way joint mounted on a wastewater process pipeline through a connecting valve I, the side surface of the flow-through cell is connected with the connecting pipe I, and the connecting pipe I is connected with the flow-through cell. The first connecting pipe is connected with the second connecting pipe through a second connecting valve, and the second connecting pipe is used for guiding waste water into a recycling pool and / or a trench. By applying the conductivity measuring assembly suitable for the high-temperature and high-salinity wastewater, the conductivity of the wastewater can be accurately measured in real time, and the electrodes are not easy to damage.

The invention relates to a method for determining an electrical conductivity value. The invention relates to a method for determining an electrical conductivity value of a measuring medium by means of an electrical conductivity sensor (1), wherein the method comprises the following steps: providing an electrical conductivity sensor (1) having at least one transmitting unit (2), at least one receiving unit (3) and a control unit (4) having a storage module (5), transmitting a stimulus signal into the measuring medium at the transmitting unit by means of the control unit, receiving a detection signal at the receiving unit, determining a signal quality indicator on the basis of the detection signal by means of the control unit, determining an electrical conductivity signal corresponding to the detection signal, storing the electrical conductivity signal, determining a dynamic factor on the basis of the electrical conductivity signal by means of the control unit, filtering the electrical conductivity signal by means of a filtering function depending on the determined signal quality indicator (SI) and the dynamic factor, outputting a filtered measurement value of the filtered electrical conductivity signal.

The invention relates to a method, a device and equipment for determining the electrical tortuosity of a reservoir core and a storage medium, and belongs to the technical field of resistivity or conductivity measurement. Based on the microstructure image and fractal theory modeling, pore structure parameters are generated; constructing a digital core model based on the pore structure parameters, and generating pore distribution of the digital core model through a three-dimensional reconstruction technology; finite element electrical conduction simulation is executed based on the pore distribution of the digital core model to calculate electric field distribution and generate electrical parameters, and the electrical parameters are used for determining the electrical tortuosity; the finite element electrical conduction simulation refers to discretizing a continuous electric field into a finite element grid, and solving an electrostatic field equation to simulate current distribution; according to the method, high-precision digital characterization of the heterogeneity of the pore structure of the reservoir core is realized, and the electric tortuosity reflecting the conductivity of the pore structure is accurately calculated.

A coolant drain system for an ion filter can prevent a reduction in the filtration performance of an ion exchange resin and improve its service life. The coolant drain system is operated such that when the electrical conductivity of the coolant circulating through a fuel cell stack is equal to or greater than a predetermined level, the coolant circulates through the interior of the ion filter in such a way that metal ions from the coolant can be easily removed by the ion exchange resin. When the electrical conductivity of the coolant decreases to a level below the predetermined threshold, the coolant remaining in the ion filter is drained to a pressure vessel using the pressure of the air supplied from the pressure vessel.

An electric vehicle lubricant formulation is provided that includes Group II to V base oils, an oxidation inhibitor, and an antiwear additive or extreme pressure additive. Compared with commercially available products, the formula has excellent copper corrosivity and extreme pressure property at high temperature, and is extremely low in conductivity and waste oil foam.

The invention discloses a numerical simulation method, device, equipment and medium for surface charges of an epoxy core in a direct-current gas insulation sleeve, and relates to the field of electrical equipment insulation design, and the method comprises the steps: determining a conductivity tensor based on a pre-prepared epoxy core sample; constructing a target geometric model of the direct-current gas insulation sleeve based on the geometric parameters and the working environment information of the direct-current gas insulation sleeve and the parameter information of the aluminum foil in the epoxy core body; based on the conductivity tensor and the physical process of charge accumulation on the surface of the epoxy core body, constructing an electric-thermal-wet multi-physical field coupled target simulation model; and performing grid encryption processing on the target geometric model, and based on the processed model, a preset finite element solver and the target simulation model, determining a surface charge numerical simulation result so as to utilize the simulation result to complete insulating sleeve design operation. According to the invention, the charge accumulation rule on the surface of the epoxy core body in the direct-current gas insulation sleeve under different working conditions can be accurately output, and the operation reliability of related equipment is improved.

This invention discloses a method for dynamic modeling of the temperature field and prediction of overheating risk in cable connectors, relating to the field of electrical equipment condition monitoring and thermal management technology. The method includes constructing the connector's geometric domain and establishing a fully coupled electro-magnetic-thermal-mechanical initial value model containing Lorentz force correction terms and eddy current loss heat source terms; jointly assembling the Lorentz force and eddy current loss terms to form a magneto-thermal coupling correction matrix, calculating the equivalent heat source field of a strong magnetic field; solving the temperature field and updating the conductivity and permeability distributions in reverse, forming a bidirectional coupled iterative loop until a converged temperature field is output; extracting hot spot trajectories and temperature gradient vector fields based on the converged temperature field, inputting them into the thermal aging kinetic model of the insulation material to generate a multidimensional indicator surface for overheating risk, determining the risk level and outputting a warning signal. This invention improves the accuracy of connector temperature field prediction and the reliability of overheating risk warning under strong magnetic field environments through bidirectional coupled iterative correction and fully coupled modeling.