1798 results about "Electrical field strength" patented technology

The invention discloses a live-line work safety monitoring system based on artificial intelligence, and relates to the technical field of intelligent electric power safety, and the system comprises a data collection module which is used for collecting and preprocessing work data in a live-line work area in real time, and extracting live-line body point cloud data based on the work data; the finite element grid unit is used for dividing all charged bodies into finite element grid units and judging high-temperature charged bodies; and the violation judgment module is used for calculating the electric field intensity value of the position where the operator is located in real time. By combining an electric field, a temperature field and three-dimensional point cloud multi-modal data, comprehensive dynamic perception of an operation area is realized, finite element modeling and dynamic non-uniform heat source distribution analysis are adopted, a high-temperature charged body is accurately identified, the equipment fault early warning capability is improved, action characteristics of an operator are captured through a long-short-term memory network, and the working efficiency is improved. And the illegal behaviors are accurately judged by dynamically combining environmental data, and an optimal operation path is generated in real time by utilizing a three-dimensional grid division and dynamic planning algorithm.

The invention discloses a transcranial electrical stimulation intracranial vector electric field detection device and method, and belongs to the transcranial electrical stimulation intracranial electric field detection technology, the device inputs an individual head model in a stimulation system, sets a target spot and calculates transcranial electrical stimulation parameters; the implantation position and angle of the vector detection electrode are planned through the navigation system, electrical stimulation is applied to a brain target area through the stimulation electrode, and intracranial electric signals are collected in real time through the vector detection electrode; performing high-precision amplification on the acquired weak signal, and converting the weak signal into a digital signal; the collected electric field signals are calculated and processed in real time, and electric field distribution generated by transcranial electrical stimulation in the brain is analyzed and visualized; according to the method, time domain and frequency domain analysis is carried out on electric signals before and after stimulation, the influence of stimulation on neural signals in a detection area is evaluated, and high-precision measurement of the intensity and direction of a three-dimensional electric field is achieved through the design of a high-precision and multi-layer vector detection electrode.

The invention relates to a static test method, device and equipment for navigation chip packaging and a storage medium, and the method comprises the following steps: recognizing whether a three-dimensional packaging model has defect information, if yes, carrying out the defect type recognition and positioning of the three-dimensional packaging model based on the defect information, and if not, carrying out the static test of the navigation chip packaging model; obtaining a defect type and a defect position corresponding to the defect type; performing simulation test on the electrostatic electric field distribution corresponding to the defect position through preset electrostatic field simulation software to obtain an electric field intensity distribution diagram; performing influence performance degree evaluation on the navigation chip based on the electric field intensity distribution diagram to obtain a performance influence evaluation grade of the navigation chip; if the performance influence evaluation grade exceeds a preset grade threshold value, an electrostatic protection design scheme is formulated based on the electric field intensity distribution diagram of the defect position and the defect type, and the technical problem that in the packaging process of the navigation chip, the performance and the service life of the chip are affected by the electrostatic discharge phenomenon is solved.

The invention discloses an AI-assisted carbon nanotube growth control method and system, and relates to the technical field of control systems. Comprising the steps that a three-dimensional AI virtual platform builds a carbon nano tube model by collecting carbon nano tube growth data and environment data in unit time, the growth data comprise the growth rate, the direction and the diameter size, the environment data relates to gas flow and electric field intensity, the carbon nano tube model is mapped into a three-dimensional coordinate system, and the three-dimensional coordinate system is constructed; wherein the X axis, the Y axis and the Z axis respectively represent the length, the width and the height of the carbon nanotube, and recording initial coordinates. By using the three-dimensional AI virtual platform and the real-time data acquisition technology, the environment change in the growth process of the carbon nanotubes can be accurately captured, and the environment change can be quickly coped with during actual control by combining the growth data and dynamically adjusting the environment parameters in the growth process; and unstable growth or deviation caused by incapability of timely adjustment in a traditional method is avoided.

The invention discloses a thunder and lightning early warning method based on atmospheric electric field networking monitoring. The method comprises the following steps: collecting multi-point electric field intensity data in a region in real time through a high-density electric field sensor network, and constructing an electric field intensity distribution matrix; for the constructed electric field intensity distribution matrix, space-time evolution characteristics of lightning activities are extracted, and lightning occurrence probability distribution is generated; acquiring temperature, humidity and air pressure parameters from multi-source meteorological data, performing data fusion with the generated thunder and lightning occurrence probability distribution, and constructing a comprehensive environment characteristic data set; and for the constructed comprehensive environment characteristic data set, calculating a comprehensive risk index, and if the index exceeds a preset thunder and lightning triggering threshold, etc. According to the lightning early warning method, the distribution matrix is constructed through the high-density electric field network, the spatial-temporal characteristics are extracted to generate the initial probability, and the physical rationality and the environment false alarm resistance of early risk identification are remarkably improved through fusion with the multi-source meteorological data.

The invention belongs to the field of data processing, and particularly relates to an accelerated prediction method and device for the corona-resistant life of an electromagnetic wire insulating layer, and the method comprises the steps: collecting the conductance current density and applied electric field intensity of a test sample in the electromagnetic wire insulating layer at different temperatures; determining an electrical aging threshold value corresponding to the test sample based on the conductance current density and the applied electric field intensity at different temperatures; executing an accelerated corona resistance test based on the electrical aging threshold value to obtain short-time corona resistance life test values of the test sample in a plurality of test environments; constructing an accelerated prediction model based on the short-time corona-resistant life test value; and inputting the operating environment parameters of the target sample into the accelerated prediction model to obtain the corresponding target corona-resistant life. The accelerated prediction model is constructed through the short-time corona-resistant life test value, and the accelerated prediction model is adopted to predict the corresponding corona-resistant life in real time, so that the corona-resistant life prediction efficiency is improved, and the accuracy of the corona-resistant life prediction value is improved.

The invention relates to the technical field of power transmission line anomaly recognition, and particularly discloses a power transmission line anomaly recognition model construction method combined with edge calculation, which comprises the following steps of: gradually increasing electromagnetic interference intensity test, acquiring current and voltage signals in real time, and monitoring electric field intensity and signal change by combining a high-precision sensor; dynamically calculating an influence value of electromagnetic interference; recursively estimating the dynamic influence of the electromagnetic interference through a Kalman filter, accurately modeling the influence of the electromagnetic interference by combining the system state and measurement data updating, and realizing the real-time evaluation of the influence of the interference on the system by calculating an electromagnetic interference coefficient and an electromagnetic shielding efficiency expected deviation; according to the method, a spectral analysis and high-frequency current and voltage fluctuation feature extraction method is adopted, and accidental interference and system faults are effectively distinguished by calculating a spectral ratio; through multi-level data analysis and optimization, real fault signals and electromagnetic interference signals can be accurately distinguished, and false alarms and missing alarms are reduced.

The invention relates to the technical field of meteorological monitoring, in particular to a ring main unit lightning micrometeorological online monitoring system and method, and the system comprises a feature extraction module, a frequency spectrum detection module, a frequency band pool screening module, a path adjustment module and an interference avoidance module. The method comprises the following steps: collecting an electric field intensity extreme value sequence, calculating a change rate difference ratio, identifying thunder and lightning precursor characteristics, combining a frequency spectrum energy density map, analyzing an energy peak frequency band and a drop point of a frequency hopping signal, judging a thunder and lightning frequency signal concentration area, performing frequency spectrum interference filtering, and combining a dynamic time warping algorithm. The time deviation between a lightning stroke time point and frequency hopping scheduling is analyzed; a frequency hopping path is adjusted in real time; the response timeliness is improved; the difference value before and after electric field disturbance is monitored; and support is provided for monitoring stability and response adaptability of the thunder and lightning risk environment.

The invention discloses a PINN prediction method for electromagnetic field distribution and mechanical response under an electromagnetic load of a superconducting block. The method comprises the following steps of: 1, establishing a PINN model for predicting the electromagnetic field of the bulk superconductor under the excitation of an external magnetic field by taking a coordinate point and a time point as input and magnetic field intensity and electric field intensity as output; 2, training the PINN model for predicting the electromagnetic field of the superconducting block under the excitation of the external magnetic field, achieving the distribution prediction of the electromagnetic field, and obtaining the prediction of the electromagnetic force; 3, establishing a PINN model for predicting the mechanical response of the bulk superconductor under the action of the electromagnetic force, wherein the coordinate point is used as input, and the displacement field is used as output; and step 4, training the PINN model for the mechanical response prediction of the bulk superconductor under the action of the electromagnetic force, and finally realizing the electromagnetic field distribution and mechanical response prediction of the bulk superconductor. The method can predict the electromagnetic field distribution of the superconducting block and the mechanical response under the electromagnetic force, and does not need grid division and a large amount of experimental data.

The invention discloses a crosslinked polyethylene cable insulation aging risk assessment method, and relates to the field of cable insulation aging assessment, and the method comprises the steps: setting an electric field induction array to carry out the high-speed sampling of a dynamic electric field signal, and carrying out the complementation and space correction of the preprocessed electric field signal data; fourier decomposition is carried out on the high-frequency standing wave field signal, spatial and temporal changes of electric field distribution are simulated, a standing wave and direct-current electric field superposition model is established, and spatial and temporal changes of a hot spot area are captured; an electric field intensity dynamic peak hot spot track in the superposition strengthening area is analyzed, the migration speed and the residence time of a dynamic peak hot spot are quantified, and quantitative description is provided for dynamic evolution characteristics of the risk area; analyzing the local aging degree of the risk area, and evaluating the trend of a chain reaction caused by local aging in combination with the dynamic evolution characteristics of the peak hot spot of each risk area; and carrying out risk degree calibration on the cable insulation aging trend based on a chain reaction trend evaluation result.

The application discloses a thunderstorm monitoring device and path planning method of unmanned aerial vehicle based on electric field and magnetic field detection. The device comprises a quadrature magnetic antenna array, a vertical differential electric field sensor, a signal processing module, a positioning algorithm module, a distance estimation module, an autonomous decision module, a GNSS module and an inertial measurement module. The quadrature magnetic antenna array is composed of two orthogonally arranged magnetic antennas, which are at a 45° angle with the flight direction of the unmanned aerial vehicle, and is used for receiving the horizontal magnetic field signal of lightning radiation. The vertical differential electric field sensor comprises two groups of upper and lower electrode plates and measures the differential value of the vertical electric field intensity. Through the cooperative measurement of the magnetic antenna array and the electric field sensor, the lightning azimuth (θ) is calculated by combining the magnetic field intensity ratio, and the quadrant is corrected by using the electric field polarity. Based on the magnetic field amplitude attenuation model and the waveform rise time correction factor, a distance estimation model is constructed. The autonomous decision module generates an approach path or an obstacle avoidance path according to the lightning azimuth and distance, and drives the flight control system to adjust the heading.

The invention belongs to the technical field of calibration simulation, and particularly discloses a cable partial discharge calibration simulation system based on a programmable control technology, and the system comprises a signal parameter setting module which can set standard signal parameters through a signal generator, and covers the frequency, the amplitude, the pulse width and the repetition frequency. The signal coupling transmission module enables the signal generator to generate a signal and couple the signal to a cable. The environment parameter acquisition module is responsible for acquiring environment temperature, humidity, magnetic field intensity and electric field intensity of the signal generator and the cable at each monitoring point. The environmental parameter correction module monitors signal parameters of each monitoring point of the cable in real time according to the collected environmental data and analyzes temperature, humidity, magnetic field and electric field correction indexes. And the signal parameter correction module corrects and analyzes the cable signal parameters accordingly. And the deviation degree abnormity judgment module analyzes the deviation degree index based on the standard and the corrected signal parameter, and judges whether the deviation degree index is abnormal or not for calibration.

The invention relates to the technical field of electromagnetic environment influence prediction, and particularly discloses an alternating current transmission line electromagnetic environment influence prediction and evaluation method. The method comprises the following steps: constructing a spatial region model; modeling and predicting the electric field intensity based on the spatial region model; based on the spatial region model, modeling and predicting magnetic induction intensity; determining a plurality of basic typical working conditions, and performing electromagnetic influence classification prediction; performing limit value comparison and space risk evaluation on the electric field distribution prediction data, the magnetic induction distribution prediction data and the classification prediction data; and carrying out prediction centralized induction and report output. According to the method, the phase balance charge distribution network is established, the mirror image charge is dynamically calibrated by combining actual measurement data of the ground sensor, and the adaptive charge safety envelope line is generated based on the road section type, so that the problem of electric field prediction deviation caused by neglecting space phase difference in the prior art is solved.

The invention belongs to the field of electromagnetic particle simulation, and relates to a vacuum confluence region electromagnetic particle simulation method, system, equipment and medium, and the method comprises the following steps: S1, constructing a particle simulation domain of an electric field and a magnetic field of a vacuum confluence region, injecting particles into the particle simulation domain, and carrying out the regional decomposition of the particle simulation domain to obtain a plurality of sub-domains; s2, acquiring charge density and current density of grid points in each sub-domain; discretizing a Maxwell equation set into a form of a Cx = D equation, substituting the charge density and the current density of the grid points in each sub-domain into the Cx = D equation, and solving the Cx = D equation by adopting a GMRES algorithm to obtain potential and vector magnetic potential distribution in each sub-domain; s3, the electric field intensity and the magnetic induction intensity of the grid points in each sub-domain are solved, the electric field and the magnetic field borne by the particles are obtained, and therefore the positions of the particles in the next time step in each sub-domain are determined; and S4, updating the electric field and the magnetic field borne by the particles in each sub-domain in the next time step.

The invention relates to the field of medical physics, and discloses a control method and system for pulse electric field ablation of duodenum, and the method comprises the steps: determining a multi-target tissue, needing pulse electric field ablation, of the duodenum corresponding to a target user, collecting a target tissue image of the multi-target tissue, and constructing a multi-tissue three-dimensional model of the multi-target tissue; analyzing tissue parameters of the multi-target tissue, and analyzing electric field intensity and pulse parameters required for ablation of the multi-target tissue; multiple electrodes of the ablation equipment are configured, and multiple electrode implantation sites of the multiple electrodes are determined; constructing a digestive tract model from the corresponding oral cavity to the duodenum of a target user, analyzing an ideal transmission path of multiple electrodes, analyzing a path deviation coefficient of a simulation transmission path and the ideal transmission path, correcting the simulation transmission path, transmitting the multiple electrodes to a multi-electrode implantation site, and then performing multi-electrode implantation. And pulse electric field ablation of multi-target tissues is realized by utilizing multiple electrodes. The precise ablation effect of the pulsed electric field can be improved.

The invention relates to the technical field of semiconductor device process reliability testing, and discloses a method, a device and equipment for predicting the time-dependent breakdown life of an insulating dielectric layer, and a medium, and the method comprises the steps: carrying out the ramp voltage testing of the insulating dielectric layer in a plurality of to-be-predicted devices; determining the breakdown electric field intensity of each to-be-predicted device according to the ramp voltage test result, the nominal insulation dielectric layer thickness and the specified voltage; determining the TDDB life of each insulating dielectric layer according to an electric field acceleration model corresponding to the TDDB and the breakdown electric field intensity of each to-be-predicted device; constants in the electric field acceleration model are determined according to TDDB test results obtained by carrying out TDDB tests on historical devices. According to the scheme disclosed by the invention, the slope voltage test is performed on the to-be-predicted device and the TDDB test result of the historical device is combined to predict the TDDB life of the insulating dielectric layer, so that the TDDB life prediction efficiency of the insulating dielectric layer is improved, and the TDDB life evaluation is quickly and effectively performed.

The invention discloses a tumor electric field therapeutic apparatus convenient for adjusting electric field intensity, which comprises a physiological signal detection system used for monitoring physiological indexes of a patient in real time and obtaining real-time physiological index data of the patient, an electric field stimulation issuing system used for generating and sending an alternating electric field to the body of the patient according to electric field intensity parameters calculated by an algorithm model; and the data processing and analyzing system is responsible for collecting and processing data from the physiological signal detection system and the electric field stimulation system, combining the physiological signal detection system and the electric field stimulation issuing system to form closed-loop control, and adjusting the intensity of the alternating electric field in real time according to the output of an algorithm model. The invention belongs to the technical field of electric field treatment, and can form closed-loop control, and adjust the intensity of an alternating electric field in real time according to the output of an algorithm model, so as to adjust the intensity of the electric field according to the specific conditions of different patients, carry out personalized treatment for different patients, and improve the treatment effect.

The invention discloses an electricity testing measuring device for power equipment. The invention relates to the field of space electric field measurement, and solves the problems of unsafety and low anti-interference capability of an existing electricity testing scheme. The electric field sensor collects the electric field intensity in a non-contact manner, and the distance sensor synchronously collects the detection distance, so that a conventional contact type electroscope does not need to contact equipment through a telescopic insulating rod. The signal processing circuit preprocesses electric field intensity information and distance information respectively to obtain effective analog signals representing the electric field to be measured, and the defect that a traditional non-contact plate electrode sensor induces stray electric fields indifferentially is overcome. Besides, the judgment control circuit judges the electrification state according to the preset electric field threshold value corresponding to the current distance analog signal instead of a single fixed threshold value of a traditional device instead of adopting a fixed threshold value, the electric field distribution characteristics of equipment with different voltage grades are adapted, manual intervention is not needed, and personal safety is guaranteed. And the occurrence rate of production accidents caused by abnormal electrification of equipment is reduced.

The invention relates to an electrostatic filtering device. The electrostatic filtering device comprises a plurality of positive electrode plates and a plurality of negative electrode plates. At least one first electrode plate exists in the plurality of positive electrode plates and the plurality of negative electrode plates, and the first electrode plate is formed by wrapping a conductive material with a high-resistance material or an insulating material. The at least one first electrode plate is configured to lead out the internal conductive material at and / or near at least one support structure fixation location of the first electrode plate such that there is exposed conductive material at that location. Moreover, if the two adjacent electrode plates are both first electrode plates and have exposed conductive materials, the distance between the exposed conductive materials of the two adjacent electrode plates in the direction perpendicular to the distance between the electrode plates is larger than or equal to the minimum distance between the electrode plates. Therefore, the problem that the performance is obviously reduced under the condition that the supporting structure (especially an insulating supporting structure) is polluted can be solved, meanwhile, the purpose of enhancing the dust holding capacity of the filter can be achieved, and the intensity of an electric field which can be applied between the electrodes is not influenced.

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

The invention provides a plasma electromagnetic field detection method and device, a terminal and a storage medium, and relates to the technical field of plasma diagnosis. The method comprises the steps that a plasma electromagnetic field physical model is constructed, electromagnetic field data are collected, and the electromagnetic field data comprise electric field intensity and magnetic induction intensity of each time-space point and time in plasma; constructing a plasma time-space domain physical information neural network architecture, a multi-objective loss function and a self-adaptive sampling strategy, and training the plasma time-space domain physical information neural network architecture based on the multi-objective loss function, the self-adaptive sampling strategy and the electromagnetic field data; and detecting the electromagnetic field distribution of the plasma to be detected by using the trained plasma time-space domain physical information neural network architecture. According to the invention, the accuracy and reliability of detection can be improved.

The invention discloses a self-adaptive Monte Carlo macro particle simulation method and system based on parallel computing, and relates to the technical field of particle simulation, and the method comprises the steps: initializing parameters, if the current step number is not the maximum step number, storing node data, balancing particle loading, and calculating charge density and battery density; using macro particles to represent a group of real particles, updating the positions and speeds of all the particles in parallel, and calculating new charge distribution; setting adaptive grid configuration, and dynamically adjusting grid density according to electric field intensity and local density of charge distribution; and based on the updated particle position and speed, evaluating and processing a collision event, storing collision data, re-calculating surface charge density data, adding 1 to the current step number, and circularly executing to finish simulation when the maximum step number is reached. According to the method, the accuracy of a simulation result is improved through the improved collision model, electrical discharge behaviors under different conditions are better predicted, and more reliable data support is provided for design and safety evaluation of high-voltage equipment.

The invention discloses a cable accessory aging assessment early warning method based on space charge characteristics. The method comprises the following steps: S1, collecting a non-alternating space charge signal, an environment temperature and an operation electric field intensity; s2, extracting multi-dimensional space charge characteristic parameters; s3, outputting an aging evaluation index, and determining an aging stage; s4, calculating a residual life prediction value; according to the method, the characteristics of multiple aspects such as charge accumulation, charge type proportion and electric field change of the cable accessory in the aging process can be comprehensively reflected, and the one-sidedness possibly existing in single parameter evaluation is avoided; space charge signal processing is optimized, alternating charge interference and attenuation and distortion influences in the signal propagation process are effectively eliminated, and the reliability of signal processing is improved. By triggering fault early warning and calculating the residual life prediction value, potential faults of the cable terminal can be prevented, and safe and stable operation of a power system is guaranteed.

A plasma processing apparatus includes a chamber, a substrate support, a radio-frequency power supply, and a bias power supply system. The substrate support is in the chamber and includes a central portion on which a substrate is placeable. The radio-frequency power supply generates source radio-frequency power. The bias power supply system respectively provides first electrical bias energy and second electrical bias energy to a first electrode and a second electrode. The first electrode is at least in the central portion of the substrate support. The second electrode is in an outer portion located outward from the central portion in a radial direction that is radial from a center of the central portion. The bias power supply system adjusts the first and second electrical bias energy to increase electric field strength above one of the central portion or the outer portion earlier than electric field strength above the other portion.

The invention discloses a miniature microwave electric field intensity measurement method based on Rydberg atoms, and belongs to the field of microwave electric field measurement. The implementation method comprises the following steps: scanning through an alkali metal atom gas chamber by using first probe light, scanning through the alkali metal atom gas chamber by using first coupling light, radiating a microwave electric field to be detected to the alkali metal atom gas chamber, obtaining an EIT-AT split spectrum, and obtaining the microwave electric field to be detected; if the EIT-AT splitting spacing is not available, a local oscillation microwave electric field can be radiated to the alkali metal atom gas chamber at the same time, a microwave electric field to be measured is obtained through an atom superheterodyne method, and rapid measurement of the intensity of the miniaturized microwave electric field based on Rydberg atoms is achieved. The device for realizing the method comprises a first laser, a first dichroscope, an alkali metal atom gas chamber, a second laser, a second dichroscope, a photoelectric detector, a first standard gain horn antenna and a second standard gain horn antenna. Frequency locking does not need to be carried out on detection light and coupling light, light path devices can be reduced, and the application range is wide.

The invention discloses a super-junction MOSFET device and a preparation method thereof, and belongs to the technical field of semiconductors, and the super-junction MOSFET device comprises a first conduction type substrate and a first conduction type epitaxial layer located on the first conduction type substrate; a cellular region and a terminal region of the device are arranged in the first conductive type epitaxial layer; a plurality of second conductive type columns are longitudinally distributed in a cellular region and a terminal region in the first conductive type epitaxial layer; wherein the plurality of second conductive type columns distributed in the terminal area comprise a plurality of size types, and the second conductive type columns of different size types are alternately arranged. The structural design relieves the strength of a terminal electric field of the device in a reverse withstand voltage state, so that the electric field strength of a terminal region is lower than that of a cellular region, breakdown occurs in the cellular region, the situation that holes are injected into a silicon and silicon dioxide interface, and consequently charges on an oxide layer interface are increased is avoided, the reliability of the device is improved, and the performance of the device is improved. And meanwhile, the avalanche breakdown capability of the device is improved.

The invention discloses a high-entropy relaxation type lead-free perovskite ceramic and a preparation method thereof. The high-entropy relaxation type lead-free perovskite ceramic is a solid solution of Na < 0.2 > Bi < 0.2 > Ba < 0.2 > Sr < 0.2 > Ca < 0.2 >) TiO3 and (K < 0.5 > Na < 0.5 >) NbO3; the content of the (K0. 5Na0. 5) NbO3 accounts for 5 to 15 mol percent of the high-entropy relaxation type lead-free perovskite ceramic. By introducing (K0. 5Na0. 5) NbO3, energy band regulation and relaxation behavior adjustment are effectively realized, the breakdown electric field intensity is remarkably improved, the energy storage performance is improved, good stability is kept under the conditions of temperature, frequency and a circulating electric field, and the actual requirements of a pulse power capacitor on a high-performance and long-life energy storage dielectric material are met.

A rotary machine coil includes: a coil conductor; and an insulation layer including a mica tape which is wrapped around an outer periphery of the coil conductor and in which a mica layer and a film layer are laminated in this order from the coil conductor side, and a cured material of a thermosetting resin composition with which the mica layer is impregnated. The permittivity in an insulation layer (first mica layer) on the inner-layer side is higher than the permittivity in an insulation layer (second mica layer) on the outer-layer side, thus reducing the electric field intensity applied in the insulation layer.

The invention discloses a power frequency phase adaptive acquisition device, and relates to the technical field of electric power signal measurement, the device acquires electric field data at a gap through an electric field sensor integrated on an edge shell, calculates electric field intensity fluctuation, and generates interference diagnosis information in combination with a preset interference determination threshold value; when the interference diagnosis information shows that effective interference exists, the electric field intensity variable quantity is calculated, a mapping model is established based on a proportionality coefficient obtained through an experiment so as to obtain zero crossing point offset, and the sampling trigger moment of a zero crossing point detection module is corrected; the clock synchronization module calculates a phase difference by taking the corrected trigger moment as a reference, dynamically adjusts a calibration frequency by combining a phase difference threshold value, and outputs a synchronized system clock signal; and the control system takes the synchronized system clock signal as a trigger signal, collects power frequency phase data according to a power frequency period, and stores the power frequency phase data to a database through a transmission unit, thereby realizing high-precision power frequency phase collection.

The invention discloses a high-voltage line safety distance prediction method based on electric field intensity and probe speed change, and relates to the technical field of electric field safety, and the safety distance prediction method comprises the steps of early-stage preparation, input parameter acquisition, data processing, prediction model construction, alarm and feedback, and later-stage maintenance. The method has the advantages that the actual distance between the probe and the high-voltage line can be predicted more accurately by integrating multivariate data such as the electric field intensity, the change trend of the electric field intensity and the movement speed and direction of the probe, training a prediction model in combination with a neural network algorithm and calculating a loss function value by using a formula; according to the method, false alarms and alarm distance errors caused by changes of environmental factors are reduced, the precision and reliability of high-voltage line safety distance prediction are improved, and alarm mechanisms of different levels can be triggered by comparing the prediction result output by the prediction model with the preset safety distance threshold value.