1364 results about "Electrical field strength" patented technology

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 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 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 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 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 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 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 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.

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 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.

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 relates to the technical field of electrical engineering, in particular to a composite material dielectric breakdown multi-scale simulation method and device, and the method comprises the steps: calculating the electric field intensity of a grid based on a preset geometric structure of a nano composite material, and calculating the electric field intensity of the grid based on material parameters and structure parameters of the nano composite material; calculating the molecular interaction energy of the interface between the nanofiller and the matrix; calculating a target breakdown probability of the grid by utilizing the electric field intensity and molecular interaction energy, generating a target state parameter of the grid based on the target breakdown probability, determining a target breakdown strength value meeting a condition by utilizing the target state parameter, and performing Weber distribution fitting processing on the target breakdown strength value to obtain a target breakdown strength value; and determining a simulation result of the breakdown strength of the nano composite material. Therefore, the problems that most of breakdown simulation methods in the prior art are single-scale models, the interfacial effect is not fully considered, errors in the aspect of quantitative prediction of the breakdown strength are large, and the accuracy of breakdown simulation is reduced are solved.

The invention provides a field emission thruster extraction electrode indium deposition cleaning temperature control method and system, and relates to the technical field of space electric propulsion, and the method comprises the steps: obtaining multi-source temperature data and electric field intensity data of a target region, and carrying out the time-space fusion processing of the two data, and generating target feature information reflecting the deposition state of an indium material; based on the feature information, a fuzzy PID control algorithm is adopted to generate a power control signal, and then the embedded heating unit is adjusted; monitoring electrothermal characteristics to obtain thermal impedance parameters, and further generating heat flow distribution data; analyzing heat flow data by using a state observer to predict an indium deposition growth trend to obtain deposition rate information, finally determining a cleaning control strategy according to the growth rate, and controlling temperature change in a non-uniform heating mode to enable the indium material to reach a phase change state. According to the invention, the reliability and maintenance efficiency of on-orbit long-term operation of the field emission propeller are improved.

The invention discloses a power transmission line maintenance robot obstacle avoidance control method and system, and the method comprises the steps: constructing a multi-mode sensing network through integrating a laser radar, an infrared sensor, a millimeter wave radar and a visual camera, and collecting 0-20 m three-dimensional operation environment data in real time; dynamically dividing high, medium and low risk areas according to the electric field intensity and the obstacle density, and setting response grades; a dynamic weighted fusion algorithm is adopted to generate far, medium and close distance sensing data streams; implementing a hierarchical control strategy according to the risk level, wherein the hierarchical control strategy comprises path planning, fine adjustment avoidance and three-dimensional bypass braking; the system has the functions of adaptive sensor weight adjustment, risk-driven resource arbitration mechanism and fault-tolerant control and feedback learning, and can improve the obstacle avoidance reliability and intelligent level in a complex power grid environment. The scheme has the technical advantages of high sensing redundancy, high response precision and high system stability.

The invention relates to a high-speed rail station building ventilation control method and system based on a physical information neural network, and the method specifically comprises the following steps: collecting related parameters of a high-speed rail station building, and carrying out the preprocessing; based on an electric field intensity theory, constructing a passenger space-time distribution function according to the preprocessed data to calculate dynamic heat source intensity; constructing a PINN model of 10 layers of MLP, and constructing a loss function according to physical constraints to train the PINN model; according to output of the PINN model, a control target is deduced in combination with ventilation parameters, and then ventilation of the high-speed rail station building is controlled; and comparing a derivation result with an actual condition, if the deviation is too large, performing fine adjustment on the PINN model, and correcting the output derivation result until the deviation is within a specified range. According to the method, related data are collected and converted into dynamic heat source items which can be identified by the PINN model, and the model is trained through physical constraints, so that the accuracy of a derivation result can be improved, and the ventilation control precision and the energy-saving effect of the high-speed rail station building are improved.

The invention relates to the field of air conditioning and purification, in particular to a low-radiation plasma air purification generator and a control system thereof.According to the low-radiation plasma air purification generator and the control system thereof, through the structural design that the intensity of a three-level gradient electric field is gradually enhanced in the gas flowing direction, and in combination with an extended contact path of an S-shaped purification air duct, the air purification efficiency is improved; the reaction time and action intensity of plasma and pollutants are effectively improved, operation information is collected in real time, quantitative analysis is carried out, and operation of the air purification generator is subjected to standardized control, so that operation of the air purification generator can be automatically adjusted; the operation effect of the air purification generator is improved, ionizing radiation and ozone generation are restrained, and the air purification generator is prevented from damaging surrounding electronic equipment and the body health of people.

The invention provides a brain deep electrical stimulation electrode parameter determination method and related equipment, and the method comprises the steps: building a head simulation model which comprises conductivity distribution; determining one or more target stimulation target spots and one or more non-target inhibition areas on the head simulation model; based on one or more target stimulation target spots and one or more non-target inhibition areas, multiple groups of electrode configuration schemes are determined through an electrode positioning method, each group of electrode configuration scheme is configured on the head simulation model, and multiple groups of stimulation simulation models are obtained; performing finite element solution based on the anatomical structure and the conductivity distribution of each group of stimulation simulation models, and optimizing the electric field intensity of one or more target stimulation target spots and the electric field intensity of one or more non-target suppression regions to obtain a plurality of electrode parameters; and determining a target electrode parameter in the plurality of electrode parameters, and taking an electrode configuration scheme corresponding to the target electrode parameter as a target electrode configuration scheme.

The invention provides a low-loss trench gate silicon carbide MOSFET device and a manufacturing method. The device structurally comprises an N + substrate, an N-epitaxial layer, an N + buffer layer, a P-type well region, an N + source region, a P + shielding region, a polycrystalline silicon gate, source metal and drain metal. According to the silicon carbide MOSFET device based on the asymmetric trench gate, a channel is formed in one side of a silicon carbide trench, and the other side of the silicon carbide trench is wrapped by P +. The integrated FinFET structure increases the channel density, and meanwhile, the extremely narrow Fin-shaped mesa weakens the electric field intensity and interface scattering at the channel, so that the mobility of the channel in the Fin-shaped mesa is increased. In addition, the P + structure wrapping the gate trench reduces the electric field of the gate oxide layer at the corner of the trench, so that the electric field intensity of the gate oxide layer of the device is within a safe working range after the FinFET structure is introduced.

The invention discloses an electric field distribution analysis method and system in a strong electric field scene. The method comprises the steps of obtaining first point cloud data of a target operation site, and performing first preprocessing on the first point cloud data; constructing a target three-dimensional tower pole model according to the first point cloud data after the first preprocessing; presetting a simulation constraint, and establishing a first network model based on the simulation constraint and the target three-dimensional tower pole model; and solving target parameters of the first network model, wherein the target parameters at least comprise the electric field intensity and the shortest safety path. Through the method, the electric field distribution in the strong electric field scene can be quickly and accurately analyzed, and reliable data support is provided for the safety, stability and environmental influence evaluation of power equipment.

The invention discloses an adjustable self-cleaning electric flocculation device, and relates to the technical field of electric flocculation devices, the adjustable self-cleaning electric flocculation device comprises an electric flocculation tank, a support plate is slidably connected to the electric flocculation tank, first polar plates are uniformly arranged in the electric flocculation tank, second polar plates are arranged in the support plate in a staggered manner, and the adjustable self-cleaning electric flocculation device also comprises a polar plate spacing adjusting mechanism, a self-oscillation mechanism and a self-cleaning mechanism; the polar plate distance adjusting mechanism is arranged at the bottom of the electric flocculation tank and is used for adjusting the distance between the first polar plate and the second polar plate; the self-oscillation mechanism is arranged above the first polar plate and is used for vibrating and removing impurities from the first polar plate; compared with the prior art in which polar plates are arranged at fixed intervals, the device can be accurately matched with wastewater with different electrical conductivity by dynamically adjusting the intervals of the electrodes, so that the current density distribution is more uniform. For example, the ineffective energy consumption can be reduced by increasing the electrode spacing of the low-conductivity wastewater, and the electric field intensity can be enhanced by reducing the spacing of the high-conductivity wastewater, the dissolution efficiency of metal ions can be improved, and the treatment period can be shortened to 30-60 minutes.

The invention discloses a disinfection device, a disinfection assembly and a manufacturing method of the disinfection assembly, and belongs to the technical field of outdoor portable disinfection devices. The disinfection device comprises an electrode assembly and an insulating film, the electrode assembly comprises a substrate and a plurality of conductive electrodes distributed at intervals, and the conductive electrodes are located on one side of the substrate; the insulating film is attached to one side of the substrate, the insulating film and the conductive electrode are located on the same side of the substrate, and the end, away from the substrate, of the conductive electrode penetrates through the insulating film and exceeds the surface of the insulating film; the length of the conductive electrode is set to be 1-100 [mu] m, the average diameter of the conductive electrode is set to be 20-200 nm, when conductive liquid flows through the surface of the insulating film, frictional charges are generated due to friction, and after the charges are accumulated to the conductive electrode, the conductive electrode can amplify an electric field to 104-106 V / m. Microorganism inactivation is carried out under the electric field intensity, in-situ self-powered disinfection is achieved, and external voltage and an external power management system do not need to be provided.

The invention discloses a vertical photoconductive switch and a preparation method thereof, and belongs to the technical field of semiconductors, and the vertical photoconductive switch comprises a substrate, an upper surface electrode disposed on the upper surface of the substrate, and a lower surface electrode disposed on the lower surface of the substrate. The projection of the upper surface electrode on the substrate and the projection of the lower surface electrode on the substrate do not completely coincide, and the upper surface electrode and the lower surface electrode are both of an asymmetric structure. An electric field vector generated by the upper surface electrode and an electric field vector generated by the lower surface electrode are subjected to interference superposition in different directions to form a staggered electric field. According to the vertical photoconductive switch, the upper electrode and the lower electrode which are of an asymmetric structure are adopted, so that current is uniformly diffused in the radial direction and the vertical direction, overdense local current, incomplete superposition of projections of the upper electrode and the lower electrode and breaking of symmetry of an electric field are avoided, the local electric field intensity is effectively reduced, and the overall voltage endurance capability of a device is improved.

The invention provides an intrinsic solid-state ion mobility testing method and device based on optical imaging, and relates to the technical field of performance testing of solid-state ion electrolyte materials.The method comprises the steps that a test sample pool is assembled; performing a power-on test on the test sample pool; extracting size information of solid electrolyte powder particles to be detected from the optical image; extracting a time-varying curve of the optical intensity of the solid electrolyte powder particles to be detected from the optical image, and determining time information of the optical response of the particles from beginning to balance in the voltage variation process based on the curve; determining the electric field intensity under the test condition according to the magnitude of the applied voltage and the total thickness of the thin-layer insulating substrate; and determining the intrinsic ion mobility of the solid electrolyte powder particles to be detected according to the size information, the time information and the electric field intensity.

The invention belongs to the technical field of microwave plasmas, and particularly relates to a magnetized atmospheric pressure pulse microwave plasma jet discharger. The discharger is reasonable in design, microwave energy is fed into the discharge chamber through the SMA interface, high electric field intensity is formed at the tip of the hollow needle electrode, and fed working gas is disrupted and discharged; a magnet exciting coil outside the quartz tube generates an axial magnetic field inside the quartz tube through direct current, electrons do spiral cycloid motion in an electromagnetic field, and electron cyclotron resonance can be achieved under the field. Through magnetic field constraint, high-energy electrons are constrained in a core area, a motion path is prolonged, effective collision times are increased, gas dissociation efficiency and ionization degree are improved, and collision loss of the electrons and a wall surface is reduced; the plasma jet performance is improved; the device works in an atmospheric pressure environment, does not need a vacuum system, reduces equipment cost and maintenance difficulty, reduces electrode sputtering and cavity corrosion, and prolongs the service life of core components.

The invention discloses a high-voltage cable on-line monitoring method and device, and relates to the technical field of on-line monitoring. The method comprises the following steps: after a high-voltage cable insulating layer is extruded, acquiring and processing electric field intensity data to obtain processed data; constructing an ideal electric field distribution reference model, comparing the processed data to calculate an electric field matching root-mean-square error, and if the error exceeds a first threshold value, performing early warning and marking an insulation abnormal area; detecting after the shielding layer is formed to obtain excitation end input power and receiving end output power, calculating electromagnetic signal power attenuation, and marking a shielding layer defect area if the electromagnetic signal power attenuation exceeds a second threshold value; calculating a spatial cross validation index according to the error and the attenuation amount, and marking a cross defect area if the spatial cross validation index exceeds a third threshold value; and constructing a defect evolution trend probabilistic model, inputting a real-time error, an attenuation amount and a cross validation index, outputting a defect deterioration posterior probability, and carrying out graded early warning. According to the method, defects of all links of production are covered through full-process real-time monitoring, and the limitation that traditional sampling detection cannot cover production batches is changed.