67 results about "Dielectric response" patented technology

The invention provides an abnormal blood sampling inspection data evaluation processing method and system of a blood sampling system. Wherein the diffusion track dynamic state of an anticoagulant-blood contact surface in a blood sampling tube is tracked in real time, dielectric response waveform distortion characteristics on the two sides are synchronously collected through a capacitance sensor array, and diffusion form parameters are generated; curvature sudden change is analyzed to trigger an acoustic fluid device to modulate audio frequency and flow velocity, and a composite disturbance field is formed; performing capacitance axial scanning on the disturbed mixed fluid, extracting phase angle offset and gradient abrupt change point coordinates, and constructing a dielectric anomaly three-dimensional map; matching a standard dielectric model, positioning a coordinate set of a concentration gradient imbalance area and a coordinate set of an eddy current attenuation area, and generating an anticoagulant abnormal index and a mixed defect matrix in combination with phase angle offset difference; and establishing a data anomaly degree evaluation function based on the anomaly index and the defect matrix, dynamically associating a clinical error threshold, and outputting a test evaluation result. According to the invention, anticoagulant diffusion can be monitored in real time, and the mixing quality error can be accurately evaluated.

The invention relates to the technical field of transformer detection, and discloses a nondestructive testing optimization method and system for an oil-immersed power transformer, and the method comprises the steps: building a three-dimensional dielectric response coordinate system, and generating a preliminary defect positioning map; aging-dominated and damp-dominated defects are detected and identified through spiral frequency sweep excitation; establishing a temperature gradient excitation scheme based on the defect type to generate a defect degree quantitative evaluation index; designing a sound wave modulation excitation scheme to generate a high-resolution defect characteristic spectrum; constructing a multi-mode intelligent sensor network, and combining a defect development trend prediction model to realize defect evolution prediction and generate a graded early warning signal; according to the method, the whole-process accurate detection of the insulation defect of the transformer from positioning, classification and quantitative evaluation to evolution prediction is realized, and a reliable basis is provided for operation and maintenance.

The invention discloses a cable insulation moisture content estimation method, system and equipment based on relaxation frequency distribution and a medium, and relates to the technical field of cable insulation moisture content estimation.The cable insulation moisture content estimation method based on relaxation frequency distribution is characterized by comprising the steps that a cable sample is prepared; obtaining a relaxation current sequence by adopting a dielectric response analysis method, calculating relaxation current data by adopting an integral equation theory to obtain a relaxation frequency distribution function, and extracting characteristic parameters; establishing a moisture content estimation empirical formula, and establishing a moisture content estimation model; and estimating the moisture content of the cable sample according to the moisture content estimation model to obtain an estimation result. According to the invention, the cable does not need to be cut or disassembled or a special device does not need to be used for complex testing, and the method is suitable for monitoring a large-range power network. The method has high adaptability and can be widely applied to different scenes of a power system.

The invention relates to the technical field of power equipment state monitoring, and discloses an AI-based power distribution switch arc fault prediction system, and the system carries out the persistent coherence analysis of dielectric response data collected by a sensing array through a topological feature extraction unit, and outputs a topological bar code representing an insulation degradation space structure. Further, a dynamic causal graph construction unit performs causal test on the topological characteristic time sequence to construct a dynamic causal graph for revealing the degradation evolution path; and finally, the fault evolution prediction unit adopts a space-time diagram neural network model to process the causal diagram sequence so as to realize accurate prediction of the fault probability and the degradation extension path. The system also integrates a closed-loop mechanism of adaptive excitation control and data verification correction. According to the method, topological data analysis and causal inference are deeply fused, the problems that a traditional method is low in precision and poor in interpretability are solved, and prediction accuracy, reliability and robustness are remarkably improved.

The invention relates to the technical field of insulation degradation detection, and discloses an on-line detection method and system for insulation degradation of electric control equipment, and the method comprises the steps: obtaining and decomposing broadband dielectric response data of the electric control equipment, and obtaining a feature sequence of a plurality of frequency components; according to the energy distribution of the high-frequency component in the feature sequence, determining a potential degradation area of the electric control equipment and extracting a degradation feature component, applying pulse excitation to the degradation feature component by adopting a time domain reflection algorithm, and obtaining a time difference sequence of a reflected signal; comparing the time difference sequence with a preset delay reference, determining the initial point position of degradation invasion, and analyzing the continuous change of the time difference sequence to obtain the boundary contour information of the insulation degradation area of the electric control equipment; three-dimensional coordinate mapping of the insulation degradation path of the electric control equipment is generated based on the boundary point set, the three-dimensional coordinate mapping is optimized, a final path map of insulation degradation of the electric control equipment is generated, and the detection precision of insulation degradation of the electric control equipment is improved.

The invention relates to a cable insulation degradation degree evaluation method based on frequency domain characteristic analysis, and belongs to the field of cable insulation degradation detection.The cable insulation degradation degree evaluation method comprises the steps that cable operation environment data and laboratory accelerated aging data are collected, and a low-frequency impedance characteristic data set with water tree growth stage labels is generated; extracting a dielectric response spectrogram and analyzing a relaxation polarization peak value; when the peak value exceeds a threshold value, extracting harmonic component characteristics and loss factor distribution characteristics by using wavelet transform and principal component analysis; constructing a support vector regression model to predict the length, density and growth stage of the water tree; for middle and later water trees, microstructure evolution characteristic parameters are calculated, and insulation penetration time is predicted; the degradation probability is analyzed through Monte Carlo simulation, and a risk distribution curve is generated; and optimizing the cable replacement time by adopting dynamic planning, and outputting an evaluation report for quantifying the degradation degree and maintenance suggestions. According to the invention, accurate evaluation and prediction of cable insulation degradation are realized, and an important guarantee is provided for safe operation of a power system.

The invention relates to the technical field of intelligent storage environment management, in particular to an intelligent storage environment management method and system based on artificial intelligence, and the method comprises the steps: calculating a theoretical humidity value of an internal cavity of closed power equipment according to an external environment parameter and an equipment sealing grade; obtaining cavity response characteristics including a shell vibration spectrum and microwave dielectric response data; inputting the cavity response features into a pre-trained humidity inversion neural network to obtain an actually measured humidity value of the internal cavity; according to the absolute deviation value of the theoretical humidity value and the actually measured humidity value, a cavity risk index is calculated in combination with the key grade coefficient of the closed power equipment; and when the cavity risk index exceeds a preset risk threshold, generating an active intervention instruction for the closed power equipment. And the risk that the closed power equipment is affected with damp due to humidity change in a storage environment is effectively solved.

According to the preparation method of the low-signal-loss copper-clad plate for the AI server, a microwave resonant cavity is integrated between heating plates of a laminating machine, on-line non-intrusive detection on dielectric response of a base material is achieved, the curing degree and stress distribution of resin of each layer are inversed in real time in combination with frequency domain analysis and material dielectric modeling, and the low-signal-loss copper-clad plate for the AI server is obtained. A pre-trained physical information neural network is used to map the three-dimensional pressure-deformation relation; according to the method, model prediction control is adopted to dynamically generate a pressure instruction, closed-loop feedback adjustment and optimization are carried out, technological parameter self-tuning and multi-objective optimization are matched, a knowledge base is established, and strategy autonomous recommendation is realized, so that the flexibility and precision of pressure distribution regulation and control and the consistency of finished products are improved, and continuous iterative optimization of technological experience is supported.

The invention discloses a measurement and evaluation method and system for double analysis of the aging state of a cable, and belongs to the technical field of nondestructive testing of the insulation state of electrical equipment, and the method comprises the steps: obtaining a broadband dielectric spectrum of a corresponding aging sample in any aging period, and constructing low-frequency dielectric loss data related to a plurality of aging samples; obtaining group data of a standard measurement sample corresponding to any aging sample, and constructing oxidation data about a plurality of standard measurement samples; acquiring a dielectric spectrum space charge distribution diagram based on the low-frequency dielectric loss data, and acquiring an oxidation product concentration thermodynamic diagram based on the oxidation data; obtaining an aging grading result based on the low-frequency dielectric loss data and the oxidation data; and outputting a three-dimensional aging measurement evaluation report based on the dielectric spectrum space charge distribution diagram, the oxidation product concentration thermodynamic diagram and the aging grading result. According to the measurement and evaluation method and system for double analysis of the aging state of the cable, accurate quantification of the aging degree is achieved by synchronously analyzing the dielectric response and the chemical structure change.

The invention discloses a remote control and state feedback method for an intelligent power grid transformer, particularly relates to the technical field of intelligent control of power equipment, and is used for solving an insulation damage risk caused by dynamic mismatch between remote start-stop operation of an existing cooling system and a real thermal state in the transformer. Load current and iron core vibration signals are collected in real time, and a cooler is closed in the load valley period to achieve energy saving. During the closing period, shell leakage magnetic flux higher harmonic components are synchronously measured, eddy current loss characteristic quantity is calculated, and a heat accumulation risk dynamic evaluation model is established in combination with oil film dielectric response characteristics; identifying an oil flow stagnation state based on the nonlinear dynamic characteristics of the vibration of the iron core; when the heat accumulation risk value exceeds the threshold value and oil flow stagnation continues, a forced starting instruction is generated; and executing the instruction and maintaining the minimum operation duration matched with the thermal recovery characteristic of the transformer, thereby realizing accurate mapping of the internal thermal state and accurate control of the cooling intervention opportunity, and eliminating the insulation damage risk caused by thermal lag while ensuring the energy-saving benefit.

This invention discloses a near-field heat flux control device and its control method, relating to the field of near-field thermal radiation control technology. The device includes a first radiator, a second radiator, and an intermediate control layer. The intermediate control layer, disposed between the two radiators, is composed of a narrow bandgap semiconductor material. Its carrier concentration changes smoothly with temperature, and its dielectric response characteristics continuously change with temperature, driving a frequency shift in the plasma frequency. The temperature of the intermediate control layer can be adjusted to amplify or suppress the heat flux. By using a narrow bandgap semiconductor and utilizing the temperature change of carrier concentration to drive a continuous blue shift in the plasma frequency, a spectral sweep effect is induced between the two radiators. This differs from the lattice abrupt change mechanism of phase change materials. Under an idealized temperature-shifting material model, the theoretical heat flux amplification factor of the device can reach over 100. When InSb is used as the intermediate control layer and simulations are performed based on its actual material parameters, the device maintains stable amplification performance over a continuous temperature range of approximately 40K.

The invention belongs to the technical field of cable insulation state detection, and particularly relates to a cable insulation aging intelligent diagnosis method and system based on dielectric response characteristics, and the method comprises the following steps: S1, obtaining the depolarization current data of a to-be-detected cable, and obtaining the depolarization current data of the to-be-detected cable based on an extended Debye equivalent circuit model; the macroscopic depolarization current is decoupled into microscopic polarization amplitude coefficients corresponding to different time constants, and a multi-order relaxation sub-spectrum feature vector is formed; s2, based on the statistical law of the historical healthy cable sample database, calculating the aging sensitivity weight of each relaxation sub-spectrum feature of the current to-be-detected cable; according to the method, adaptive enhancement of key aging characteristics is realized, so that the algorithm can be automatically focused on a frequency band which truly reflects insulation state change, and an invalid frequency band which is interfered by noise is ignored.

The invention relates to the technical field of battery recovery, in particular to a ternary lithium and lithium iron phosphate mixed recovery optimization method and system. The method comprises the following steps: acquiring electromagnetic characteristic set data containing dielectric response data and conductivity response data of the current batch of mixed black powder under electromagnetic waves with different frequencies; comparing the electromagnetic characteristic set data with a material characteristic reference library, and determining the material state of the mixed black powder of the current batch; correcting the black powder proportion estimation model by using the material state of the mixed black powder of the current batch to obtain a corrected black powder proportion estimation model; and based on the corrected black powder proportion estimation model, determining a recovery scheme of the current batch of mixed black powder. The invention aims to solve the problems of poor hydrometallurgical treatment effect and low recovery purity caused by incapability of accurately judging the material proportion in the recovery process of ternary lithium and lithium iron phosphate mixed black powder in the existing mixed recovery method.

The application provides a cable insulation aging evaluation method based on high-voltage frequency domain dielectric response characteristic quantity, under the condition that the insulation electric field intensity is 0.5kV / mm-1kV / mm, an ultralow frequency sweep test signal is applied to the measured cable under three different voltages, and the dielectric loss tangent value frequency domain response curve corresponding to each voltage level is obtained; at least two dielectric characteristic quantities are calculated based on the frequency domain response curve, the dielectric characteristic quantities include a first characteristic quantity representing the discrete degree of the dielectric loss tangent value under different voltages, and a second characteristic quantity representing the frequency domain integral characteristic of the dielectric loss tangent value under the highest test voltage; based on a preset correlation evaluation model taking the cable insulation mechanical performance aging index as a benchmark, the insulation health state score of the measured cable is calculated by combining the dielectric characteristic quantities, and the insulation aging state is determined according to the health state score.

The invention belongs to the technical field of power equipment insulation state detection, and particularly relates to an XLPE cable water branch quantitative evaluation method and system based on frequency conversion pseudo trapezoidal wave excitation, and the method comprises the steps: applying pseudo trapezoidal wave excitation, and collecting voltage and current signals; wavelet and adaptive filtering are combined for denoising; establishing a Wiener-ANN nonlinear dielectric response model, and fitting cable response through the combination of a dynamic linear neural network module and a static neural network module; obtaining a frequency domain dielectric spectrum and extracting a multi-harmonic characteristic parameter, a loss slope, a hysteresis angle and a time domain nonlinearity; and finally, outputting a water treeing aging comprehensive index WTI through the support vector machine regression model to realize quantitative evaluation of the aging degree. The system comprises a pseudo trapezoidal wave excitation unit, a high-voltage amplification unit, a micro-current acquisition unit, a signal processing unit and an aging evaluation unit. The broadband harmonic response can be obtained through a single test, the test efficiency is improved by more than 75%, the anti-interference performance is high, the evaluation precision is high, and the method is suitable for on-site rapid nondestructive diagnosis.

This invention relates to the field of power equipment insulation condition monitoring technology, and discloses a multi-source intelligent fault judgment method for compact ring main units (ECT) and electronic current transformers (EVTs). The method includes: simultaneously acquiring transient voltage and current data of the electronic current transformer in response to a voltage step event triggered by the closing action of the grounding switch; selecting short-time window data at the moment of the step, calculating the ratio of accumulated charge to voltage drop amplitude based on the principle of charge conservation, and calibrating the parasitic capacitance parameters of the equipment; constructing a capacitive displacement component using the parasitic capacitance parameters and voltage change rate, and decoupling it from the total current to reconstruct the dielectric response current reflecting the polarization process of the insulation material; performing multi-timescale decay trend analysis on the dielectric response current to identify the mechanism switching moment, and generating diagnostic results for insulation dampness or interface degradation accordingly. This invention can effectively suppress structural capacitance interference and achieve low-cost, high-precision insulation condition assessment.

This invention provides an online detection method and system for the curing characteristics of epoxy molding compounds, belonging to the field of materials testing and analysis technology. The method includes: during the molding process, acquiring electrical response data of the epoxy molding compound within the mold cavity at at least two different excitation frequencies, and simultaneously acquiring equivalent temperature data of the mold cavity; calculating the complex impedance data corresponding to each excitation frequency based on the electrical response data, constructing a dielectric characteristic quantity to characterize the change in dielectric response of the epoxy molding compound, and performing temperature compensation processing on the dielectric characteristic quantity in conjunction with the equivalent temperature data of the mold cavity; based on the temperature-compensated dielectric characteristic quantity, obtaining online inversion information on the degree of curing change of the epoxy molding compound; based on the degree of curing change information, determining the gel determination time during the curing process of the epoxy molding compound, and outputting online detection results characterizing the curing state of the epoxy molding compound. This invention achieves real-time and stable detection of the curing process and gelation stage of epoxy molding compounds.

This application discloses an analytical method for electrolyte systems based on low-scaling Monte Carlo simulations of electrostatic interactions, relating to the field of molecular simulation technology. The method includes: constructing an initial model of the target system and configuring simulation parameters; initializing local electric displacement auxiliary field variables; using these variables to describe the local electric displacement state of the target system; randomly selecting and updating an object; the updated object being the particle configuration and / or the local electric displacement auxiliary field variables; determining the equivalent local electric field strength at the target spatial location after updating the object; updating the local dielectric constant at the target spatial location based on the equivalent local electric field strength; and after updating the local dielectric constant, determining the various electrostatic interaction energies in the target system and evaluating the total electrostatic energy. This method can accurately describe the complex electrostatic interactions between components caused by local electric fields, high charge density, and the dielectric response properties of the components while ensuring computational efficiency.

The embodiment of the invention discloses a transformer main insulation multi-component independent state evaluation method, and relates to the technical field of electrical equipment state diagnos.The method comprises the steps that on the basis of a transformer main insulation finite element simulation model and in combination with preset dielectric characteristic parameters of all insulation components in different degradation states, the independent state of the insulation components is evaluated; performing simulation operation on the frequency domain dielectric response simulation database with the label; aiming at an input frequency domain dielectric response curve, performing fitting by using an equivalent circuit model through a parameter identification algorithm so as to extract circuit element parameters representing independent dielectric characteristics of each insulating part as state characteristics; and inputting the state features into a pre-trained mapping model, and outputting a quantitative evaluation result of the degradation state of each part. Sample acquisition limitation is overcome through simulation generation of data, feature decoupling and accurate fault positioning are realized through a parallel equivalent circuit model, a quantitative evaluation result is output by using a mapping model, and the accuracy and reliability of diagnosis are improved.

The invention relates to the technical field of power equipment insulation state monitoring, and discloses a compact ring main unit ECT and EVT multi-source data intelligent fault criterion method, which comprises the following steps: responding to a voltage step event triggered by a closing action of a grounding switch, and synchronously acquiring transient voltage and current data of an electronic transformer; selecting short-time window data at a step moment, calculating a ratio of an accumulated charge quantity to a voltage drop amplitude based on a charge conservation principle, and calibrating a parasitic capacitance parameter of the equipment; constructing a capacitive displacement component by using equipment parasitic capacitance parameters and the voltage change rate, decoupling from the total current, and reconstructing a dielectric response current reflecting the polarization process of the insulating material; and carrying out multi-time scale attenuation trend analysis on the medium response current, identifying a mechanism switching moment, and generating a diagnosis result of insulation damp or interface deterioration according to the mechanism switching moment. According to the invention, structural capacitance interference can be effectively suppressed, and low-cost and high-precision insulation state evaluation is realized.

The present application relates to the technical field of battery recycling, and in particular to a ternary lithium and lithium iron phosphate mixed recovery optimization method and system. The method comprises obtaining the electromagnetic characteristic set data of the mixed black powder of the current batch under different frequency electromagnetic waves, including dielectric response data and conductivity response data; comparing the electromagnetic characteristic set data with the material characteristic reference library to determine the material state of the mixed black powder of the current batch; using the material state of the mixed black powder of the current batch to correct the black powder proportion estimation model to obtain the corrected black powder proportion estimation model; and determining the recovery scheme for the mixed black powder of the current batch based on the corrected black powder proportion estimation model. The present application aims to solve the problem that the existing mixed recovery method cannot accurately determine the material proportion during the recovery process of ternary lithium and lithium iron phosphate mixed black powder, resulting in poor wet metallurgical treatment effect and low recovery purity.

This invention discloses a method for evaluating the insulation condition of oil-immersed power transformers under high-voltage excitation, belonging to the field of insulation material aging detection technology. The method includes testing the dielectric response of oil-paper insulation under single triangular wave excitation, obtaining multiple harmonics through spectral analysis, and performing Fourier decomposition transform to obtain excitation and response signals under different harmonics. Based on the phase difference between the excitation and response signals, the loss factor of each harmonic at that frequency point is obtained. The above steps are repeated to complete the testing of all frequency points within a preset frequency range. An aging determination coefficient is extracted from the obtained frequency-domain dielectric response loss factor. Through fitting calculation, a quantitative characterization relationship between the aging determination coefficient γ and the degree of aging of the oil-paper insulation is obtained, achieving rapid detection under high-voltage excitation and eliminating the influence of nonlinear insulation changes on insulation condition assessment.

The invention belongs to the technical field of functional flexible materials, and particularly relates to an all-fiber porous low-impedance sensor of gradient dielectric filler and a preparation method of the all-fiber porous low-impedance sensor. The all-fiber porous low-impedance sensor is of an integrated structure formed by stacking at least three layers of dielectric fibers in the thickness direction, and gradient dielectric filler distribution is formed by the adjacent dielectric fibers. The gradient dielectric filler full-fiber porous structure with the ultrahigh porosity (the porosity is larger than 80%) is adopted, and low-impedance variable dielectric response is achieved through the synergistic effect of fiber lap joint and impedance regulation and control.

The invention provides a label tape cutting size precision measurement and analysis method, which comprises the following steps: acquiring a real-time dielectric response signal from a label tape back adhesive layer, and extracting the molecular crosslinking degree of the back adhesive layer as a crosslinking density value in combination with a captured deformation quantity to obtain an initial internal stress release rate; obtaining a dynamic springback deviation sample set, calling conventional thickness prediction data of a historical standard sample, comparing the difference of springback value values, analyzing the shrinkage performance of the springback value under different curing completion degrees, and obtaining a corrected springback value estimated value; and extracting a subset deviating from a standard solidification condition from the corrected resilience estimated value, evaluating the difference between the scale of the subset and a preset threshold value, identifying the corresponding relationship between the thickness and the resilience increment, and obtaining an optimized elastic modulus corrected value.

The embodiment of the invention discloses an anti-interference method and device for a frequency domain dielectric response low-frequency test and a medium, belongs to the technical field of electrical insulation tests, and solves the problem that low-frequency interference is difficult to effectively suppress under the condition of keeping high gain during the low-frequency test. Comprising the following steps: before a low-frequency test section, obtaining an interference current existing in an environment at a current frequency, and determining an anti-phase compensation signal corresponding to a tested product based on the interference current; traversing a phase trigger moment corresponding to the anti-phase compensation signal to determine a plurality of candidate trigger points; based on the plurality of candidate trigger points, respectively measuring the total current amplitude flowing through the tested product; comparing the total current amplitudes corresponding to the plurality of candidate trigger points, and determining a target phase compensation time point meeting a preset condition based on a comparison result; and performing interference signal elimination on the frequency domain dielectric response low-frequency test based on the target phase compensation time point and the anti-phase compensation signal.

This invention provides a hafnium-based MPB high-k capacitor based on island-shaped metal layers, its fabrication method, and a dynamic random access memory (DRAM). The method includes: providing a substrate; sequentially forming a lower electrode and a first hafnium-based MPB layer on the substrate; forming a discontinuous island-shaped metal structure on the first hafnium-based MPB layer; sequentially forming a second hafnium-based MPB layer and an upper electrode on the island-shaped metal structure; and performing rapid thermal annealing to crystallize the hafnium-based MPB material in the first and second hafnium-based MPB layers. By forming island-shaped metal layers to constitute a five-layer superlattice composite dielectric structure, active control of the MPB dielectric performance is achieved. This not only suppresses charged defects such as mobile oxygen vacancies in the MPB dielectric but also suppresses random phase transitions in the MPB dielectric caused by temperature or electric field changes, improving material parameter consistency, thereby stabilizing the dielectric response and improving temperature / bias stability. This solves the problem of how to fabricate reliable storage capacitors with high-k dielectric properties.

The invention provides a low-temperature activated sintering method of a solid waste-based high-temperature heat storage material, which comprises the following steps: pretreating a solid waste matrix by using alumina nanoparticles and titanium dioxide nanoparticles as interface modifiers, and generating a low-temperature eutectic phase through interface reaction with silicon-aluminum oxide in the solid waste matrix; carrying out preheating treatment by adopting electromagnetic wave irradiation, and preheating in an alternating electromagnetic field with a specific frequency by utilizing the dielectric response characteristic of iron and calcium components in a solid waste matrix; periodically modulated inert gas is introduced to ionize the gas jet, the inert gas is ionized to form a plasma state, and ions bombard the surfaces of particles under the driving of an electric field or a pressure gradient to form aluminum ion vacancy defects, so that atom migration motion is accelerated, and the interface diffusion activity is improved; a staged power regulation and control model is adopted, and the input power is dynamically regulated in each stage of heating, heat preservation and cooling. One technical effect of the invention is that lower sintering temperature, higher material density and lower unit energy consumption can be realized.

This invention provides a method and apparatus for determining the saturation state of activated carbon based on electrical feature recognition, belonging to the field of activated carbon state detection technology. The method for determining the saturation state of activated carbon based on electrical feature recognition includes the following steps: acquiring the temperature, moisture content, ash content, and mass parameters of the activated carbon sample to be determined; applying an alternating electrical excitation signal of a preset frequency band to the activated carbon sample; and collecting the complex impedance characteristic parameters, dielectric response characteristic parameters, polarization relaxation characteristic parameters, and charge migration characteristic parameters corresponding to the activated carbon sample; and performing compensation processing on the complex impedance characteristic parameters, dielectric response characteristic parameters, polarization relaxation characteristic parameters, and charge migration characteristic parameters according to the temperature, moisture content, and ash content parameters to generate an electrical feature vector characterizing the adsorption loading state of the activated carbon.

The invention relates to the technical field of functional ceramic materials and preparation thereof, and discloses a semiconductor ceramic material composition and a preparation method thereof. The composition comprises the following components in parts by weight: 90-99.5 parts of a main component, the main component is formed by compounding SrTiO3 and BaTiO3, and the molar ratio of the SrTiO3 to the BaTiO3 is (0.3-0.8): (0.2-0.7); 0.2-1.0 part of a grain dopant, wherein the grain dopant is at least one of a rare earth element oxide or Nb2O5; and 0.3-1.5 parts of a grain boundary modifier. The SrTiO3 and BaTiO3 are compounded into a main component system according to a specific molar ratio, so that the dielectric response temperature region of the material is widened from the source, the optimal matching of a phase structure and a lattice constant is realized, and a foundation for excellent temperature stability is laid.

The application discloses a kind of based on homologous laser's spectral acoustic wave heterostructure signal insulator detection method, it belongs to insulator detection technical field, it solves the problem that existing insulator detection method cannot detect the defect inside and outside insulator simultaneously.The present application uses the same laser pulse single excitation and synchronously collects spectrum and acoustic wave signal, ensures the homology of signal, lays the physical foundation for synchronous detection of internal and external defects.By introducing equivalent dielectric response parameters and equivalent structure density parameters, the two types of features are physically modulated, which specifically represent the surface composition and internal structure state. After standardization and attention weighting fusion, the integrated representation of insulator comprehensive state is realized, and the rapid and non-contact identification of insulator defects is realized, which is especially suitable for online detection of power equipment.