136 results about "Dielectric spectrum" patented technology

The invention relates to the technical field of cable partial discharge detection and diagnosis, provides a high-voltage cable multi-parameter intelligent diagnosis method, system and equipment and a storage medium, and aims to solve the problems of low accuracy and poor reliability of high-voltage cable multi-parameter diagnosis caused by multiple factors. The method comprises the following steps: decomposing a partial discharge signal after interference filtering, extracting a time domain amplitude change rate and an energy distribution parameter, and generating a multi-dimensional time-frequency domain feature vector; calibrating a multi-dimensional time-frequency domain feature vector, carrying out nonlinear manifold mapping, generating a low-dimensional feature vector matched with dielectric spectrum characteristics, matching a partial discharge type with the highest similarity with an identification result, judging an insulation degradation level in combination with a final loss threshold interval, and generating a comprehensive diagnosis report. According to the invention, the ultrahigh-frequency sensor array captures the partial discharge signal matched with the dielectric spectrum, precise identification of the discharge type and dynamic evaluation of the insulation degradation level are realized through multi-scale analysis and deep learning fusion, and the reliability of high-voltage cable diagnosis is improved.

The invention discloses a multi-parameter coupling intelligent regulation and control method and system in a vanadium ore smelting process, relates to the technical field of non-ferrous metal smelting automatic control, and solves the problems of feeding deviation and resource chain scission caused by slow response of an existing heat balance model to ore impurity fluctuation, online sensing lag and process island. The impurity concentration and the dielectric constant are obtained in real time through an LIBS / XRF combined probe and a microwave dielectric spectrum, rheological disturbance is dynamically corrected through extended Kalman filtering, a dynamic coupling response model is input, a thermodynamic interference factor is calculated, and a leaching and precipitation strategy is generated; performing mother liquor tail gas material flow collaborative optimization in parallel, constructing a multi-dimensional control vector U, performing iterative updating through near-end strategy optimization in a digital twin and issuing the multi-dimensional control vector U to an edge PLC (Programmable Logic Controller) in a distributed manner, and finally correcting a model weight through online XRD (X-Ray Diffraction) feedback; according to the method, the adaptive capacity to complex vanadium ore component disturbance, the response precision of online control and the inter-process resource circulation efficiency are remarkably improved.

The invention is suitable for the technical field of quick-frozen vegetable sorting, and particularly relates to a quick-frozen vegetable sorting method and device.The method comprises the steps that initial optical data and initial dielectric spectrum data of quick-frozen vegetables are obtained, space-time alignment and compression are conducted on the initial optical data and the initial dielectric spectrum data, and the initial optical data and the initial dielectric spectrum data are obtained; obtaining first optical data and first dielectric spectrum data; based on the first dielectric spectrum data, performing ice crystal repair on the first optical data to obtain second optical data; wherein the ice crystal repairing is used for eliminating the influence of ice crystal interference on optical data; determining the defect probability of the quick-frozen vegetables based on the first dielectric spectrum data and the second optical data; and sorting the quick-frozen vegetables according to the defect probability. According to the method, the problem of image distortion caused by ice crystal interference is solved, defect detection with higher precision is realized, the sorting precision of the quick-frozen vegetables is remarkably improved, and the misjudgment rate and the missed judgment rate are reduced.

The invention provides a soil organic pollution concentration prediction method and system based on a resistivity parameter, and the method comprises the steps: synchronously obtaining dielectric constant distribution data, conductivity spatial distribution data, a resistivity parameter and a polarizability parameter of a target region in an organic pollution detection scene in a saline-alkali soil environment, and obtaining the dielectric constant distribution data, the conductivity spatial distribution data, the resistivity parameter and the polarizability parameter of the target region; and constructing a bimodal characteristic matrix reflecting the electrical characteristics of the soil. And performing multi-source coupling on the bimodal characteristic matrix, the dielectric constant and the conductivity data to generate a dynamic data set, and analyzing and extracting the polarization attenuation characteristic difference between the organic pollutants and the salt ions by using a frequency domain dielectric spectrum. And finally outputting a spatial concentration distribution prediction result of the organic pollutants in the high salinization environment in combination with a machine learning model. According to the method, the detection accuracy and the spatial positioning precision of the organic pollutants in the high-saline-alkali soil are improved.

The invention discloses a method for accurately measuring the dielectric constant of a nonlinear insulating medium, and relates to the technical field of electrical insulation testing. In order to solve the technical defect that in the prior art, a measuring method capable of effectively eliminating the thickness influence and accurately obtaining the real dielectric constant of the nonlinear insulating medium does not exist, the technical scheme provided by the invention comprises the following steps: constructing an equivalent circuit model; collecting dielectric constant measurement values of the samples with different thicknesses, and performing relative dielectric constant testing on the samples with different thicknesses at a plurality of frequency points by using a broadband dielectric spectrometer to obtain data of dielectric constants changing along with the thicknesses; judging whether the dielectric constant has thickness dependence or not; if the thickness dependence exists, the dielectric constant measurement value is substituted into the equivalent circuit model for nonlinear fitting, and the real dielectric constant value of the material is extracted; and outputting a real dielectric constant. The method can be applied to dielectric property accurate measurement and insulation structure design analysis work of nonlinear insulation materials.

The invention discloses a food baking processing program control system and method, and relates to the technical field of food processing intelligent control, and the method comprises the steps: collecting the dielectric characteristics of a material, capturing the change dynamic state of a dielectric loss angle tangent value, and recognizing the phase change stage of the material in real time through a time domain dielectric spectrum analysis method; constructing a dual-channel heat conduction model, and dynamically identifying the regional temperature gradient of the baking equipment according to the phase change stage of the material; and based on the regional temperature gradient of the baking equipment, through a multi-parameter coupling control algorithm, calculating the microwave power adjusting quantity and the wind speed ratio adjusting quantity of the baking equipment, and generating a composite control instruction set. According to the method, the phase change stage of the material is recognized in real time through a time domain dielectric spectrum analysis method, the relevance between relaxation time distribution and a phase change characteristic spectrum is accurately analyzed through inverse Laplace transformation and a dynamic time warping algorithm, and dynamic capture of key phase change nodes such as glass transition and starch gelatinization is achieved.

The invention discloses a method and a device for judging selectivity of a gas separation membrane by adopting a dielectric spectrum. The gas separation membrane comprises a two-dimensional gas separation membrane, the selectivity comprises the selectivity of CO2 in CO2 / N2 mixed gas; the method comprises the following steps: S1, measuring dielectric spectrums of the two-dimensional gas separation membrane in a range of 0.01-5MHz under different relative air humidity, and calculating dielectric relaxation time after obtaining a dielectric relaxation frequency; and S2, according to the dielectric relaxation time of the two-dimensional gas separation membrane under different relative air humidities, determining the selectivity of the two-dimensional gas separation membrane to CO2 in the CO2 / N2 mixed gas under different relative air humidities. The method can accurately predict the CO2 selectivity of the gas separation membrane during separation of CO2 / N2 mixed gas under different relative air humidity conditions, and provides technical support for research of efficient two-dimensional gas separation membranes.

The invention discloses an energy storage battery internal short circuit prediction method and system based on dielectric frequency spectrum scanning, and belongs to the technical field of electric measurement and fault diagnosis. The method comprises the following steps: acquiring a dielectric constant change electric signal acquired by a preset sensor array and a multi-source environment electric signal acquired synchronously; dielectric spectrum electrical characteristic parameters are extracted based on the electrical signals; the electrical characteristic parameters and the multi-source environment electrical signals are fused, equivalent circuit model fitting is carried out, and electrical characterization signals of the volatility of the electrolyte and the growth state of the lithium dendrites are obtained; constructing a risk assessment model based on the electrical characterization signal; and monitoring the dynamic change of the electric signal in real time by using the risk assessment model, and predicting the internal short circuit risk. Multi-dimensional fusion and the AI algorithm are adopted, the short circuit risk in the energy storage battery can be accurately predicted in real time, active protection measures can be linked, and the prediction precision and the response speed are remarkably improved.

The invention discloses a hydropower station GIL equipment insulation state detection and evaluation method based on an industrial internet platform, and the method comprises the steps: collecting the characteristic parameters of voltage, current, temperature and the like through an online monitoring system, a live detection device or a power failure high-voltage test, and generating an original characteristic set; through photoelectric conversion, filtering and other processing, key features are extracted to generate a structured feature set, and the structured feature set is serialized and uploaded to a data center. A phase resolution graph and a dielectric spectrogram are calculated by utilizing technologies such as partial discharge analysis and a knowledge graph, fault diagnosis is carried out, and information such as fault positions and types is determined. And based on a diagnosis result, evaluating an insulation state risk through methods such as fault mode and influence analysis and fault tree analysis, quantifying defects, safety and economic risks, and outputting an alarm level and a processing suggestion. And if the risk is triggered, performing convolutional neural network analysis on the specific signal to update the fault position, and finally generating a diagnosis report according to the fault influence range, the diagnosis result and the alarm level, thereby realizing comprehensive monitoring and accurate evaluation of the insulation state of the GIL equipment.

Use of impedance and / or dielectric spectroscopy for analysis of a eukaryotic cell expressing an endogenous or recombinant peptide or polypeptide. A sensing apparatus 30 includes a main channel 34 thro

The invention discloses a terahertz reflectance spectrum-based insulating oil micro-water content and aging detection method, device and equipment and a storage medium, and relates to the technical field of dielectric spectroscopy, and the method comprises the following steps: sampling each standard sample to obtain a to-be-detected sample, placing each to-be-detected sample in a sample bearing vessel to obtain an oil film layer, reflecting terahertz wave beams are utilized to irradiate each oil film layer to obtain a terahertz amplitude spectrum and a terahertz phase spectrum, a target three-layer optical model is utilized to perform inversion to obtain a complex dielectric function frequency spectrum, and a preset sub-dielectric model is utilized to fit the complex dielectric function frequency spectrum to obtain a main resonance characteristic and a characteristic parameter set; determining a reference micro-water content based on the main resonance characteristics, determining training data based on the characteristic parameter set, and constructing a target multi-task regression model; and processing the characteristic parameter set by using the model to obtain an initial prediction result and a confidence interval, verifying the prediction result to obtain a target prediction result, and improving the efficiency of detecting the micro-water content and aging of the insulating oil.

The invention discloses an asphalt aging degree nondestructive testing method and system, and belongs to the technical field of road material detection. The method comprises the following steps: firstly, preparing standard asphalt samples with different aging degrees, calibrating a real aging degree in combination with a destructive test, measuring broadband dielectric spectrums at a plurality of temperature points, and constructing a multi-temperature-range standard dielectric spectrum-aging degree database; comprehensive dielectric characteristic parameters containing fixed-point dielectric characteristics at a specific temperature point and evolution dielectric characteristics changing along with temperature are extracted from the database; training an artificial neural network model by using the characteristic parameters, establishing a nonlinear mapping relation with the aging degree, and forming an aging degree prediction model; and finally, performing lossless multi-temperature-range dielectric detection on a to-be-detected asphalt sample, extracting the same characteristics from the obtained dielectric data, inputting the same characteristics into the prediction model, and calculating the aging degree.

The invention discloses an evaluation method, system and device for the moisture degree of a metal oxide arrester, and the method comprises the steps: applying an alternating voltage to a zinc oxide arrester, measuring the zinc oxide arrester based on an FDS frequency domain dielectric spectrum tester, and obtaining a distributed frequency domain dielectric spectrum of the zinc oxide arrester; analyzing the distributed frequency domain dielectric spectrum to obtain a complex relative dielectric constant, and further obtaining a dielectric modulus; the dielectric modulus and the complex relative dielectric constant are fitted based on a Havriliak-Negami model, and a relaxation peak curve is obtained; and based on the relationship between the moisture degree of the zinc oxide arrester and the relaxation peak curve, obtaining the influence degree of the Havriliak-Negami model function on the moisture degree of the zinc oxide arrester. The damping degree of the lightning arrester can be accurately evaluated, and a new thought is provided for improving the operation reliability of the distribution network lightning arrester.

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.

This invention discloses a food baking processing control system and method, belonging to the field of intelligent control technology for food processing. The system includes: acquiring the dielectric properties of materials and capturing the dynamic changes in the dielectric loss tangent; simultaneously using time-domain dielectric spectroscopy analysis to identify the phase transition stages of the materials in real time; constructing a dual-channel heat conduction model and dynamically identifying the regional temperature gradient of the baking equipment based on the phase transition stages; and calculating the microwave power adjustment and fan speed ratio adjustment of the baking equipment based on the regional temperature gradient of the baking equipment using a multi-parameter coupled control algorithm, and generating a composite control command set. This invention identifies the phase transition stages of materials in real time using time-domain dielectric spectroscopy analysis, and accurately analyzes the correlation between the relaxation time distribution and the phase transition characteristic spectrum using inverse Laplace transform and dynamic time warping algorithms, achieving dynamic capture of key phase transition nodes such as glass transition and starch gelatinization.

The application discloses a kind of composite cemented filling material design method, and the application relates to the technical field of mine filling, comprising the following steps: determining optimization component and its optimization domain, and randomly generating multiple groups of design combinations, preparing filling material and filling to be filled sample to form composite filling body test piece;Sample test body is cured under simulated environment, with the degree of hydration heat reaction as index, dynamically adjust sampling interval and determine multiple sampling time;Coupling monitoring test is carried out using the detection method of pulse velocity and low-frequency dielectric spectrum combination, interface coupling degree parameter is extracted, and cementation coupling degree is calculated, and the termination time is determined based on its change rate;The structural strength at this time is obtained, and the preset strength is used as constraint, the cementation coupling degree maximization and the experimental time minimization are used as optimization goal, the double objective optimization function is set, and the optimal design combination is determined by optimization algorithm, which can significantly reduce engineering risk and prolong the service life of structure.

The present invention relates to a method (100) for dielectric spectroscopy of a material or a tissue under test, comprising the following steps: measuring (110) the reflection coefficient (11) signal as a function of the frequency of said material or tissue under test, by a vector network analyzer (3), wherein a single applicator (5) is in contact with said material or a tissue under test and wherein the applicator (5) is operatively connected to the vector network analyzer (3); multiplying (120) the reflection coefficient (11) signal with the frequency behavior of an ultra-wide band (UWB) signal as a synthetic applicator excitation; converting (130) the signal of the previous step into the time domain by an Inverse Fourier Transform (IFT); suppressing (140) part of the converted signal of the converting step (130), according to the applicator (5) geometry; converting back (150) the signal of the suppressing step (140) to the frequency domain; and extracting (160) from the frequency signal converted the dielectric properties (162) and / or estimating (170) the dimension of the material or a tissue under test and / or of an ablated area of the material or a tissue under test thereof. The present invention also relates to an apparatus for dielectric spectroscopy (1).

This invention relates to a method for assessing the defect risk of epoxy-impregnated paper bushing cores under rapid temperature rise conditions, belonging to the field of bushing core insulation condition assessment. This invention aims to solve the problem that existing technologies cannot assess the impact of bushing core defects on partial discharge and dielectric properties under rapid temperature rise scenarios. The technical solution includes: constructing a feature parameter dataset and determining defect classification thresholds; conducting performance parameter tests before and after rapid temperature rise; comparing and analyzing the defect discharge characteristic spectrum of the bushing core, the sensitivity of partial discharge under different voltage measurement methods, and the changes in high-voltage broadband dielectric spectrum characteristic parameters under cyclic voltage excitation; and finally achieving defect risk classification assessment. This invention can comprehensively assess the electrical performance reliability of bushing cores, effectively identify potential defect risks within the core, and provide technical support for the safe and stable operation of ultra-high voltage transmission systems under extreme temperature environments.

The invention discloses a transformer main insulation water content assessment method and device and electronic equipment. The method comprises the steps that an equivalent circuit model of a main insulation structure of the transformer and initial parameters of the equivalent circuit model are determined, and the initial parameters comprise the initial X parameter, the initial Y parameter, the initial water content of an insulation paperboard and the initial oil conductivity; performing a frequency domain dielectric spectrum test on the insulating paper board in the main insulating structure to obtain a frequency domain dielectric spectrum actual measurement curve of the insulating paper board; based on the initial parameters, obtaining a frequency domain dielectric spectrum modeling curve of the insulating paperboard; and by taking the minimum error between the frequency domain dielectric spectrum actual measurement curve and the frequency domain dielectric spectrum modeling curve as a target, performing parameter optimization on the equivalent circuit model by adopting a steepest descent method to obtain the predicted water content of the insulating paperboard. According to the invention, the technical problems of low water content evaluation accuracy and poor applicability of a transformer main insulation water content evaluation method in the prior art are solved.

The invention relates to a fault diagnosis method of a lithium iron phosphate battery, electronic equipment and a storage medium. Relates to the technical field of lithium iron phosphate battery fault diagnosis. The method comprises the following steps: under a variable-temperature working condition, synchronously acquiring multi-physical field data of a lithium iron phosphate battery by using special equipment; preprocessing the dielectric spectrum data, and outputting a standardized dielectric spectrum by using a temperature-age coupling algorithm; extracting and standardizing multiple types of features, and fusing by using a mutual information entropy algorithm to obtain a vector; inputting a multi-modal decision algorithm to identify a fault, and outputting probability, quantitative characteristics and fault association; and finally integrating information to determine the fault condition, and generating a complete diagnosis report. The method breaks through the limitation of single data diagnosis, synchronously collects multi-physical field data, and improves the fault recognition accuracy through standardization processing and dynamic fusion; and a multi-mode decision-making algorithm and the like are also adopted, so that fault types are accurately identified, association strength is clear, comprehensive state evaluation is provided, a complete report is generated, safety and reliability of the battery are guaranteed, and full-life-cycle management is assisted.

The invention discloses an IGBT packaging material dielectric property and thermal resistance linkage testing device, which relates to the technical field of packaging material testing, is used for carrying out performance evaluation on an IGBT packaging material in intelligent power distribution switch control equipment, and comprises a testing box, the inner wall of the testing box is covered with a thermal insulation layer, the front surface of the testing box is provided with a testing cavity, and the testing cavity is provided with a thermal resistance test cavity. And a lower heat conduction base is arranged at the bottom of the test cavity. The temperature field and heat flow state of a packaging material sample can be actively and accurately controlled, the working temperature rise and heat dissipation conditions of a real IGBT module are simulated, meanwhile, the lower electrode plate and the upper electrode plate directly make contact with the sample and are connected to the broadband dielectric impedance spectrometer, and therefore the temperature rise and heat dissipation conditions of the IGBT module can be simulated while controllable thermal excitation is applied. Dielectric spectrum characteristics of a material can be measured in situ in real time, the temperature sensor directly monitors the temperature of a sample interface, and then thermal resistance testing and broadband dielectric property testing can be dynamically evaluated in the same sample, the same time and the same controlled thermal environment.

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 discloses a transformer bushing insulating property evaluation method, device and equipment. The method comprises the following steps: determining a frequency domain dielectric spectrum model curve according to a frequency domain dielectric spectrum characteristic curve of a transformer bushing through a preset XY model; calculating an error based on a complex dielectric constant according to the frequency domain dielectric spectrum model curve and the frequency domain dielectric spectrum test curve, and generating an error function; performing nonlinear optimization solution according to the error function by adopting a steepest descent method to obtain a water content parameter of the transformer bushing; and evaluating the insulation performance of the transformer bushing according to the water content parameter to obtain an insulation evaluation result. The technical problem that the insulation performance evaluation accuracy is low due to the fact that insulation degradation evaluation parameters of an existing transformer bushing lack pertinence and the physicochemical characteristics of the bushing are ignored can be solved.

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 application discloses a method for predicting the limited mass transfer efficiency of a two-dimensional separation membrane by using dielectric spectrum, comprising the following steps: S1, respectively measuring the dielectric spectrum of water in the two-dimensional separation membrane and a reference membrane in the range of 10 ‑3 ~ 10 3 Hz, calculating the dielectric relaxation time after obtaining the dielectric relaxation frequency; S2, judging the limited mass transfer efficiency of water in the two-dimensional separation membrane according to the dielectric relaxation time ratio τ / τ0 of the dielectric relaxation time τ of water in the two-dimensional separation membrane and the dielectric relaxation time τ0 of the reference membrane; when the τ / τ0 is less than 1, it is judged that the limited mass transfer efficiency of water in the two-dimensional separation membrane is higher than that of the reference membrane; when the τ / τ0 is greater than 1, it is judged that the limited mass transfer efficiency of water in the two-dimensional separation membrane is lower than that of the reference membrane. The method can accurately predict the limited mass transfer efficiency of different types of two-dimensional separation membranes, effectively reflect the state and relative transmission rate of water in the interlayer of the two-dimensional separation membrane, and provide technical support for the research on the high-efficiency separation two-dimensional membrane.

The invention belongs to the technical field of cable insulation, and discloses a cable insulation material performance evaluation method, system and device and a medium, and the performance evaluation method comprises the steps: carrying out the fitting of frequency domain dielectric spectrums of a polypropylene cable insulation material at different temperatures based on a multi-relaxation dielectric model, and carrying out the calculation of the frequency domain dielectric spectrums of the polypropylene cable insulation material; obtaining characteristic parameters and a direct-current conductive component of the polypropylene cable insulating material according to a fitting result; fitting the characteristic parameters and the direct current conductance component based on a fitting analysis technology, analyzing performance evaluation parameters of the polypropylene cable insulation material, and obtaining a performance evaluation result of the polypropylene cable insulation material according to the performance evaluation parameters. Compared with a traditional cable insulation performance detection method, the frequency domain dielectric spectrum method is adopted, experimental operation is greatly simplified, through fitting of dielectric spectrum data and extraction of characteristic parameters, tedious testing and use of various experimental devices are avoided, and detection efficiency is improved.

The invention discloses a modified filling master batch with reinforcing and toughening effects and an automatic production process thereof, and belongs to the technical field of modified filling master batch production. The master batch is composed of polymer matrix resin, a dual-scale inorganic filler, a dynamic vulcanization toughening system, an interface modifier and a functional aid, the dual-scale filler is compounded by nano montmorillonite and micron wollastonite, and the toughening system comprises POE / SEBS and a liquid acrylate rubber compound. The production process comprises four main procedures of double-gradient interface construction, ultrasonic directional dispersion, dynamic vulcanization cooperative control and intelligent separation, a spiral arrangement ultrasonic vibrator array and an online dielectric spectrum monitoring technology are adopted, and a visual identification separation system and a three-stage waste heat recovery system are matched. Through combination of multi-scale filler synergistic enhancement and a dynamic vulcanization process, optimization of material performance is realized, an intelligent control system is adopted in a production process, and production efficiency and product consistency are improved.

The invention discloses a cable water tree aging positioning method based on a dielectric spectrum diagnosis technology, and the analysis method comprises the following steps: 1), carrying out the dielectric spectrum test of a to-be-detected cable, and analyzing a detection result; 2) if the detection data has a layering phenomenon, the cable to be detected has an aging phenomenon; 3) performing low-voltage-high-voltage-low-voltage detection on the cable to be detected, and analyzing a detection result; 4) if the hysteresis reaction exists, determining that the water tree is aged, and if the hysteresis reaction does not exist, determining that the water tree is thermally aged; and 5) if water tree aging occurs, applying direct current voltage to two ends of the cable, performing dielectric spectrum testing again, analyzing detection data, and obtaining a conclusion. According to the method, aging types are classified according to the hysteresis response of water tree aging in the dielectric spectrum testing, water tree aging phenomenon fault points are positioned, and meanwhile, the integrity of the cable structure is ensured.

The invention relates to the technical field of intelligent beekeeping, and discloses a mature honey standardized production control system based on strong group multiple box bodies, which comprises a dielectric spectrum sensing array integrated on a comb foundation, a data acquisition module, a central processing module and a user interface module. According to the system, the micro interdigital capacitor unit is used for independently detecting electromagnetic characteristics of substances in cells, the central processing module obtains complex impedance spectroscopy and temperature data, a content classification model and a polynomial regression model containing temperature cross terms are operated in parallel, the types of the contents in the cells are recognized, and the water content of honey is accurately calculated. The system establishes data mapping between a super production area and a hive breeding area, respectively calculates a mature honey harvest index and a breeding health degree score, and automatically generates a honey extraction recommendation or a health alarm. According to the invention, lossless, in-situ and high-resolution monitoring of the internal state of the beehive is realized, and the problems that the bee colony is interfered by manual box opening and the honey maturity is lack of quantitative standards are solved.

The application discloses a high-concentration wastewater dynamic mixing control method based on biochemical treatment redundancy, relates to the technical field of wastewater treatment, and comprises the following steps: constructing a joint probability density function based on heat flow and dielectric spectrum signals; calculating a Riemann scalar curvature representing biochemical treatment redundancy based on the joint probability density function and taking a Fisher information matrix as a measurement; and adjusting a mixing ratio of wastewater and dilution water in real time according to the size of the Riemann scalar curvature. The method can solve the problems that the existing mixing control adopts a simplified adjustment logic, breaks the nonlinear coupling relationship between micro-electric polarization and macro-thermal dissipation, and cannot utilize the singularity divergence characteristics of the Riemann scalar curvature, thereby causing adjustment overshoot and response lag.