92 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 discloses an epoxy resin bubble micro-defect identification method, and belongs to the technical field of epoxy resin micro-defect evaluation, and the method comprises the steps: collecting a transmitted terahertz wave time domain electric signal, carrying out the Fourier transform, and converting the transmitted terahertz wave time domain electric signal to a frequency domain electric signal, obtaining a refractive index and an extinction coefficient, and carrying out the quantitative calculation of a real part and an imaginary part of an optical frequency complex dielectric constant; a fingerprint database of optical frequency dielectric response characteristics of characteristic frequency bands of epoxy resin materials of various preparation processes is established, so that misjudgment caused during defect identification is avoided; calculating a fingerprint range of a comprehensive evaluation index F according to the centralized and standardized optical frequency dielectric response data, a scale factor theta meeting a set cumulative contribution rate and a u-dimensional feature vector; the influence of useless components on analysis is reduced, and the test curve can be quickly analyzed, so that the recognition efficiency is improved.

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 present invention provides a method for establishing a model function for the broadband dielectric response of oil-paper insulation, belonging to the field of electrical engineering. The method comprises: preparing oil-paper insulation samples; measuring the dielectric response in frequency domains at different temperatures; obtaining the broadband dielectric response; establishing a model function; and verifying the model function. The present invention can measure the broadband dielectric response of oil-paper insulation and establish an equivalent model function thereof, providing a digital and quantitative analysis method for the broadband dielectric characteristics of oil-paper insulation. Compared with the currently available dielectric response equivalent model method, the model function can reflect the dielectric characteristics of oil-paper insulation in a wider frequency domain and provide characteristic parameters with more physical meaning, providing a preliminary foundation for further quantitative evaluation of the oil-paper insulation status based on dielectric response.

The invention discloses a cable insulation state evaluation method based on rapid ultralow frequency dielectric response, comprising the following steps: applying excitation voltage to a cable to obtain an ultralow frequency dielectric spectrum and a U-I hysteresis curve; extracting a characteristic quantity representing the insulation aging of the cable as a criterion for distinguishing the insulation aging type of the cable; respectively setting related index quantities of different cable insulation aging types; constructing an evaluation index system; determining the subjective weight and objective weight of each index in the evaluation index system by adopting an analytic hierarchy process and an entropy weight method respectively, and carrying out combined weighting to determine a combined weight; performing logarithmic correction on the combined weight; constructing a scoring model; evaluating the insulation state of the cable based on a scoring model to obtain an operation state scoring result of the cable; the operation condition of the cable line can be accurately mastered, the operation and maintenance cost is reduced, the test and evaluation time is effectively saved, stable operation of the power cable is ensured, the line failure rate is reduced, and indirect benefits are generated.

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.

The present application provides a method and system for detecting anomalies in the performance data of electronic control module components. Among them, the method applies an alternating electric field to the electronic control module components through non-contact electrodes, collects the energy loss, capacitance change and polarization delay data of the dielectric response, and extracts the ion migration, molecular steering and impurity conductivity characteristics from them; constructs a multi-band aging feature library based on accelerated aging experiments, including low-frequency delay, medium-frequency turning and high-frequency loss change rate characteristics; when it is detected that the low-frequency response slows down, the medium-frequency characteristics shift to the left and the high-frequency loss increases sharply, it is determined that the component has undergone electrochemical aging, and accurate diagnosis is achieved. The present application significantly improves the detection accuracy and reliability of electrochemical aging anomalies of electronic control module components through collaborative analysis of multi-band dielectric response characteristics.

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.

The invention belongs to the field of electrochemistry, and particularly discloses a secondary battery and an electronic device. The invention provides a secondary battery which comprises a negative pole piece, the negative pole piece comprises a current collector and a dielectric response layer, the dielectric response layer is arranged on at least one surface of the current collector, or the negative pole piece comprises the current collector, lithium metal and the dielectric response layer, the lithium metal is arranged between the current collector and the dielectric response layer; the relative dielectric constant of the dielectric response layer is 2-37; the dielectric response layer comprises an inorganic dielectric material and an organic polymer. According to the invention, the dielectric response layer is added in the negative electrode plate, and the dielectric response layer can inhibit lithium precipitation of the negative electrode, delay generation of lithium dendrites and improve the dynamic performance and cycle performance of the battery.

The embodiments of the present application disclose a method, device, and medium for detecting the moisture content of insulating cardboard. The insertion loss characteristics corresponding to the microstrip ring resonator device are obtained through a network analyzer; when the insulating cardboard to be detected is a single layer, the average resonant frequency is obtained based on the information of multiple resonance points in the insertion loss characteristics; the moisture content of the single layer of insulating cardboard to be detected is determined based on the average resonant frequency and a preset moisture content evaluation function; when the insulating cardboard to be detected is two or more layers, the dielectric constant and dielectric loss tangent corresponding to the insulating cardboard to be detected are obtained through a preset microstrip ring resonator dielectric response calculation model and insertion loss characteristics; the dielectric constant and dielectric loss tangent are input into a preset moisture content prediction model to obtain the moisture content corresponding to the two or more layers of insulating cardboard to be detected. Through the above method, the efficiency of insulating cardboard moisture content detection is improved.

The invention relates to a high-voltage switch cabinet insulating medium dielectric spectrum rapid fitting method and device, and the method and device can achieve the rapid fitting of dielectric spectrums, so as to meet the requirements of on-site rapid diagnosis. The method comprises the following steps: S1, applying alternating current to an insulating part material of the high-voltage switch cabinet; s2, obtaining dielectric response data of the insulating part material; s3, preprocessing the collected dielectric response data to obtain preprocessed dielectric spectrum data; s4, selecting an initial dielectric response model according to the material type of the insulator; s5, initializing parameters of the initial dielectric response model to obtain a predicted value of a complex dielectric constant; s6, calculating an adjustment decision coefficient according to the predicted value and the measured value; s7, adjusting the dielectric response model according to the coefficient; and S8, inputting the obtained dielectric response data into the adjusted dielectric response model for dielectric spectrum fitting processing.

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.

The invention relates to a cable insulation ultralow-frequency dielectric response influence factor analysis method, which comprises the following steps of: firstly, calculating the capacitance of XLPE cable sections with different lengths and different thicknesses so as to obtain an effective dielectric response current signal, and analyzing the change rule of ultralow-frequency dielectric response along with the cable length and the insulation thickness; then, sorting and numbering the XLPE cables with the same length and the same mass, respectively placing the XLPE cables in environments with different temperatures, testing the oxidation induction time of the XLPE cable insulation, then calculating the activation energy of the XLPE cable insulation so as to form temperature influence data, and finally, calculating the temperature influence data according to the temperature influence data. Based on the temperature influence data, drawing a change rule curve of the temperature to the XLPE cable insulation ultra-low frequency dielectric response characteristic, finally judging the influence of the cable length, the insulation thickness and the temperature factor on the cable ultra-low frequency dielectric response, and performing normalization processing to obtain the objective weight of each index; in general, the method has the advantages of being accurate, rapid and good in using effect.

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 invention belongs to the related technical field of electrical equipment insulation state monitoring, and discloses a construction method and system of a temperature-frequency domain dielectric spectrum of insulation paper and a storage medium. The method comprises the following steps: inputting sample parameters into an insulation paper complex dielectric response prediction model; the complex dielectric response of the insulation paper represented by the model at least comprises an optical frequency dielectric constant, a jump conductance process and complex dielectric responses of three relaxation polarization processes; the relationship between the jump conductivity and the temperature and the relationship between the relaxation time coefficient and the temperature meet the Arrhenius equation, and the relationship between the relaxation polarization intensity and the temperature and the relationship between the shape parameter and the temperature meet the condition that the former is enhanced along with the temperature rise and gradually tends to be saturated; and by taking the deviation between the minimum prediction and actual measurement complex dielectric response as an optimization target, optimizing model parameters to obtain a temperature-frequency domain dielectric spectrum of the insulation paper. According to the invention, the temperature-frequency domain dielectric spectrum of the insulation paper can be accurately constructed, and the dielectric spectrum of the insulation paper at any different temperatures can be rapidly and accurately obtained.

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.