304 results about "Electric conductance" patented technology

The invention relates to the technical field of intelligent operation and maintenance of power equipment, in particular to a cable system full life cycle health management method based on digital twinning, which comprises the following steps: step 1, constructing a cable digital twinning body fusing electric-thermal-mechanical-chemical multi-physical fields; 2, dynamically fusing multi-source monitoring data, and collecting a cable skin continuous temperature sequence, a partial discharge pulse waveform and soil environment parameters; 3, solving a coupling equation of conductivity-thermal conductivity-stress tensor-ion diffusivity through iteration to realize multi-physical field linkage simulation; 4, generating a self-adaptive maintenance decision, inputting the insulation aging factor into an LSTM predictor to output a residual life prediction value, and generating a maintenance work order when the residual life is lower than a threshold value; and 5, carrying out closed-loop correction on the model, and updating the insulation aging factor calculation model and the physical attributes of the three-dimensional grid according to actual maintenance data. The method improves the safety, reliability and operation and maintenance efficiency of the cable system, and has important industrial application prospects.

The invention discloses a metal flat plate thickness and conductivity eddy current measurement method and system. According to the method, an electromagnetic detection platform is built, and a coaxial excitation-receiving eddy current probe structure is designed. Establishing a coaxial eddy current detection analysis model, and deducing a dynamic calculation result of mutual inductance parameters of the sensor in a frequency sweeping mode; setting two PID (Proportion Integration Differentiation) controllers and initial control variables thereof, and inputting the control variables serving as a thickness value and a conductivity value into the analytical theoretical model to obtain a corresponding mutual inductance change result; calculating an instantaneous error term and an accumulative error term of the current iteration period in real time, and when the error exceeds a preset convergence threshold value, inputting the error into a PID controller and updating the two control quantities until the maximum iteration frequency is reached; otherwise, outputting a control variable value, wherein the two control variables output by the controller are the thickness and the conductivity of the metal plate respectively. According to the invention, the thickness and conductivity of the metal plate can be accurately and simultaneously measured.

The invention discloses a conductor galloping and sag monitoring method and system based on Beidou differential analysis. The method comprises the following steps: monitoring a lead position, a conductivity change rate, a surface temperature and electric field intensity data of different heights, and calculating an electric field intensity gradient sequence between adjacent heights; and in the incremental time interval, determining a signal drift coefficient according to the incremental wire position data and the incremental electric field intensity data. When the conductivity change rate is greater than a preset threshold value and the surface temperature of the wire is lower than the dew point temperature, multiplying the signal drift coefficient by the ratio of the conductivity change rate to a preset reference rate to obtain a conductive film correction coefficient, and taking the product of the correction coefficient and the real-time electric field intensity as a correction amount; and deducting from the real-time wire position data to obtain correction data. By implementing the technical scheme provided by the invention, the accuracy of the lead position monitoring data in the salt water mist environment is improved.

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 a power distribution overhead conductor tree touch fault fire moment determination method and system, and the method comprises the following steps: building an experiment environment, and collecting whole-process data according to a preset sampling frequency in the experiment environment; obtaining the initial moisture content of the experimental tree, calculating the moisture evaporation heat absorption amount and the moisture evaporation mass of the tree model, updating the moisture content of the tree, and performing aligned storage according to time; fitting the relation of the conductivity, the moisture content and the temperature of the tree in the whole process to obtain a conductivity function; constructing a resistance simulation curve by using a conductivity function according to the moisture content and the temperature of the tree, and constructing a resistance actual measurement curve by using voltage and current data collected in an experimental environment; and comparing the resistance simulation curve with the resistance actual measurement curve, and judging the moment when the resistance simulation curve and the resistance actual measurement curve are obviously bifurcated as the moment when the open fire appears. The method is wide in application range and low in cost and maintenance difficulty, and high accuracy is guaranteed.

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.

The invention relates to the technical field of electrochemical water treatment, and discloses a self-adaptive current control method for electrochemical water treatment, which comprises the following steps: collecting the real-time conductivity and conductance interference variable of a target water sample; performing interference decoupling on the real-time conductivity based on the conductivity interference variable to obtain effective conductivity; obtaining an efficiency response curve; determining a current current efficiency interval based on the efficiency response curve and the effective conductivity; performing real-time regulation and control on the working current based on the current efficiency interval; collecting the oxidation-reduction potential of the target water sample; and adjusting the distribution proportion of the working current in different reaction paths based on the oxidation-reduction potential and the effective conductivity of the target water sample. According to the invention, accurate control of current during electrochemical water treatment is realized, the current efficiency is improved, and the multi-pollutant treatment effect is improved.

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 relates to the field of intelligent medical treatment, in particular to an electrical impedance imaging method and device based on mixed excitation and a program product. Comprising the steps that an initial current vector and an initial boundary voltage vector of mixed excitation are obtained, the mixed excitation comprises L kinds of excitation, and L is a natural number larger than 1; performing weighted fusion on the L excitation initial current vectors to obtain a mixed excitation current vector, and performing weighted fusion on the L excitation initial boundary voltages to obtain a mixed excitation voltage; performing electrical impedance imaging optimization function calculation based on the mixed excitation current vector and the mixed excitation voltage to obtain conductivity change; the optimization function is used for carrying out regularization calculation on regional potential distribution and conductivity variation based on the mixed excitation current vector and the mixed excitation voltage; an electrical impedance distribution image is generated based on the conductivity change. According to the invention, the resolution of EIT imaging is improved, and the method has good clinical value.

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 provides a converter station valve cooling system water abandoning strategy optimization model and method. According to the method, the scaling index and the corrosion rate are calculated in real time by collecting the conductivity, the pH value, the temperature and the flow data of the circulating cooling water, so that the system is monitored in real time. And a multi-objective intelligent optimization control method is designed by defining optimization objectives and constraints and establishing a dynamic performance index model. According to the method, a plurality of conflict targets in the wastewater treatment process can be balanced, for example, the water abandoning amount is reduced, the energy consumption is reduced to improve the cooling effect, so that intelligent optimization of the water abandoning strategy of the converter station valve cooling system is realized, the environmental protection performance is improved, the operation state of the converter station is optimized, and fine management and optimization of the water abandoning strategy are realized. The method is simple and easy to operate and has high practical value.

The invention discloses a demineralized water replenishing and ammonification control method and system for a waste incineration power plant. The method comprises the steps that S1, the target conductivity in a demineralized water pipeline is preset; s2, supplementing water to a boiler system through a desalting water pump; s3, ammonia water is added into the demineralized water pipeline through an ammonia adding pump; s4, the real-time conductivity and the demineralized water flow value in the demineralized water pipeline are collected through the control device for PID calculation, the control device controls the output frequency of the frequency converter according to the PID calculation result so as to adjust the output of the ammonia adding pump, the PID calculation formula is # imgabs0 #, Q is the demineralized water flow value, Ti is an integral time constant, Td is a differential time constant, and the control device controls the output frequency of the frequency converter according to the PID calculation result so as to adjust the output of the ammonia adding pump. E (t) is the difference between the expected value and the sampling value of the conductivity, and u (t) is the control quantity of the frequency converter. The system has the advantages of being simple in structure, low in cost, capable of enabling a control system to be more stable, higher in anti-interference capacity 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 relates to a non-contact conductivity measuring device which comprises an RLC (Radio Link Control) circuit, a signal generator, an oscilloscope and a calculation module, wherein the RLC circuit is formed by connecting a resistor, a capacitor and an inductor in series; the inductor consists of a solenoid and a conductor rod arranged in the center of the solenoid; the signal generator serves as an input voltage source of the RLC circuit; the oscilloscope is used for monitoring voltage signals at two ends of the capacitor and voltage signals at two ends of the input voltage source; the calculation module is used for obtaining the resonant frequency of the RLC circuit according to the ratio of the voltage signals at the two ends of the capacitor to the voltage signals at the two ends of the input voltage source; and the controller is also used for calculating the conductivity of the to-be-measured conductor rod according to the outer radius of the to-be-measured conductor rod, the outer radius of the solenoid, the length of the solenoid, the number of close winding turns of the solenoid, the capacitance value of the capacitor and the resonance frequency. It can be understood that by means of the technical scheme, the conductivity of the conductor rod can be measured in a non-contact mode, and the testing accuracy is high.

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 provides an EIT lung three-dimensional reconstruction method using a fractional diffusion model, and the method comprises the steps: enabling an EIT lung three-dimensional reconstruction problem to be linearized into a linear uncomfortable problem A [delta] x = [delta] y, enabling A to be a sensitivity matrix, [delta] y to be a boundary voltage change value of a detected field domain, and [delta] x to be a conductivity distribution change value in the detected field domain, which are called as a solution vector, a target solution is obtained by solving an optimization problem F (x) = min (A [delta] x-[delta] y2), prior distribution of conductivity real distribution x is learned by using a fraction-based diffusion model, and a reconstruction result is constrained by using a voltage measurement value in a diffusion model sampling stage: a disturbance voltage value yt of the voltage measurement value y at a corresponding moment t is obtained, and by minimizing the distance between the reconstruction target x and the reconstruction image xt under the time step t and minimizing the difference value between the A delta x and the disturbance voltage variation delta yt, obtaining a reconstruction result # imgabs0 # constrained by a voltage value at the moment t, and performing loop iteration until t is equal to 0 to obtain a final EIT lung three-dimensional reconstruction image.

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 technical field of strip steel pickling, and discloses a method for reducing the use amount of rinsing water in a continuous strip steel pickling process section, a multi-stage rinsing process is adopted, a conductivity detector is arranged in a last-stage rinsing tank to detect the conductivity in real time, and the running state of a unit is interlocked with a rinsing water pump. Spraying and water replenishing are automatically started based on the running state of the unit, the minimum water replenishing amount is set based on the running speed of the unit, water replenishing is conducted with the minimum water replenishing amount in the running period, and when the conductivity detection value exceeds the conductivity threshold value, the maximum water replenishing amount is adjusted for rapid water replenishing. The invention further provides a system for implementing the method. By means of the method, on the premise that the strip steel rinsing quality is guaranteed, the rinsing water consumption can be greatly reduced, the average rinsing water consumption before improvement is 10.0 m < 3 > / h, the average rinsing water consumption after improvement is 5.0 m < 3 > / h, the production cost of a pickling unit is reduced, and therefore the benefits of enterprises are improved.

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 provides a current and voltage characteristic generation method and device of a transient arc, which can be used in the technical field of power system relay protection, and the method comprises the steps: constructing an arc model through employing an external electromotive force source, an internal resistor, and a plasma with a preset radius, length and transient temperature; generating an energy conservation model and a current model according to the arc model; converting the energy conservation model to obtain a direct current arc temperature model; and utilizing the direct current arc temperature model, the current model and a pre-generated conductivity regression model to generate current and voltage characteristics of the arc. According to the method and device for generating the current and voltage characteristics of the transient arc, the non-transient stable change process of the temperature and the voltage drop of the arc column is obtained, the change process of the arc column is described more accurately, and research on the grounding fault arc resistance of a power distribution network is facilitated.

A medical device for penetrating an anatomic structure, e.g., a bone structure, including a processing unit programmed to execute one or more statistical algorithms, e.g., Bayesian-based perforation detection algorithms, with electrical conductivity measured during penetration of an anatomic structure as an input to detect a breach condition, e.g., a spinal canal perforation, based on the measured electrical conductivity. The medical device may include a drill bit having sensing capabilities coupled to the distal end of a robot arm via a power drill unit mounted on the robot arm. The power drill unit may cease transmission of rotary motion to the drill bit upon detection of the breach condition.

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.

The invention discloses a quench characterization method and device for multi-field coupling of a high-temperature superconducting coating conductor and a medium, and relates to the technical field of superconducting strips. The method comprises the following steps: establishing a force-electricity-heat multi-physics field coupling model; the force-electricity-heat multi-physics field coupling model comprises an electricity module, a mechanical module and a thermal module; in the electrical module and the thermal module, the material conductivity is a function of temperature, and Joule heat causes temperature change, so that electric-thermal bidirectional coupling is realized; in the thermal module and the mechanical module, temperature change enables the strip to generate thermal strain, a strain item exists in a non-classical Fourier heat conduction equation based on the generalized thermoelasticity principle, and force-heat bidirectional coupling is achieved. According to the method, a mixed dimension model is adopted, a superconducting layer is modeled into a two-dimensional plane, a silver layer and a buffer layer are geometrically ignored, interlayer contact resistance and thermal resistance are added through weak contribution, and the quench process of multi-field coupling of the high-temperature superconducting coating conductor is successfully simulated.

The present invention discloses a method and device for detecting the diameter of a steel bar based on parameter inversion. Based on the time domain analytical solution of the steel bar pulse eddy current detection model, the induced voltage measurement curve is used to establish a least squares problem between the induced voltage time domain signal measurement value and the theoretical calculation value to invert the diameter, relative magnetic permeability and electrical conductivity of the inspected steel bar. When the relative error sum between the induced voltage measurement curve and the theoretical calculation curve is the minimum, the diameter, relative magnetic permeability and electrical conductivity of the inspected steel bar can be obtained, wherein the inverted steel bar diameter is the detection result, thereby obtaining the size specification of the inspected steel bar. The method and device of the present invention do not require standard test blocks for calibration, can implement more accurate non-destructive detection of the parameters of the inspected steel bar, and eliminate the influence of the electromagnetic parameters of the steel bar on the detection results.

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 a ground and underground combined water yield calculation method suitable for a coal mine. The method comprises the following steps: acquiring a conductivity value by using a ground direct current method; acquiring electromagnetic wave field intensity by using an underground wireless electromagnetic wave perspective method; calculating an attenuation coefficient according to the electromagnetic wave field intensity; calculating a coal seam dielectric constant according to the apparent resistivity and the attenuation coefficient; and determining the coal seam internal water abundance according to the coal seam dielectric constant. According to the method, a ground direct current method and an underground wireless electromagnetic wave perspective method are combined, the ground direct current method aims at obtaining apparent conductivity, and the wireless electromagnetic wave perspective method aims at obtaining attenuation coefficients; the dielectric constant of the coal seam can be obtained according to the apparent conductivity obtained through the ground direct current method and the attenuation coefficient obtained through the wireless electromagnetic wave perspective method, then the water yield property in the coal seam is determined, and therefore the water yield property calculation accuracy can be improved through combination of the two methods.