794 results about "Electrical field strength" patented technology

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 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 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 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 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 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 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 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 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.

The invention provides high-toughness chitosan hydrogel and a preparation method thereof, and belongs to the technical field of chitosan materials. Under a specific electric field driving condition, a chitosan solution realizes molecular chain oriented migration and in-situ deposition in an acid environment, and a three-dimensional network with dense arrangement and a gradient structure is constructed. The chitosan hydrogel disclosed by the invention has excellent performance in the aspects of tensile strength, elongation at break, toughness, shear resistance and the like which exceed those of chitosan hydrogel prepared by most methods, and has good biocompatibility and application potential. The programmable regulation and control of the structure and performance of the chitosan hydrogel can be realized by regulating and controlling the pH value, the electric field intensity, the current density, the deposition time and the like of the system. The high-toughness chitosan hydrogel prepared by the method is suitable for various biomedical scenes, such as bionic soft tissues, bone repair scaffolds, flexible electronic devices and other wet application scenes with high mechanical property requirements.

The invention relates to the technical field of electric field detection and early warning. The invention aims to overcome the defect of lack of an electric field detection device under the hot-line working condition of an ultra-high-voltage line in the prior art, and relates to an electric field detection device under the hot-line working condition of the ultra-high-voltage line, which is a non-contact electric field detection device and is used for detecting the electric field under the hot-line working condition of the ultra-high-voltage line in the hot-line working condition of the ultra-high-voltage line. The non-contact electric field detection device takes a microprocessor as a core control unit, and is composed of a double-spherical-shell type electric field sensor, a differential amplifier, a filter circuit, a true RMS conversion circuit, a power supply module and a man-machine interaction circuit. And deep association of data support, function collaboration and scene adaptation is carried out through the structure. The problem that traditional equipment is insufficient in stability in a severe environment is solved, continuous and stable operation of the electric field detection equipment under complex working conditions is achieved, it is ensured that reliable electric field intensity data can be continuously output, and a basic guarantee is provided for operation safety evaluation.

The invention discloses a lightning arrester with an adjusting function, and belongs to the technical field of electrical equipment, and the lightning arrester comprises a lightning arrester body, the bottom end of the lightning arrester body is provided with an insulating seat, the bottom of the insulating seat is provided with a moving table, the top of the insulating seat is provided with a mounting mechanism, the bottom of the moving table is provided with a translation mechanism, and the moving table is provided with a lifting mechanism. A monitoring mechanism is arranged on one side of the translation mechanism, the monitoring mechanism comprises an equipment box, a lightning field intensity sensor, a humidity sensor and a controller, and the translation mechanism comprises a mounting frame, a screw rod, a servo motor, a driving plate and a connecting plate. Environmental electric field intensity and air humidity are monitored in real time through the lightning field intensity sensor and the humidity sensor, the controller dynamically calculates the optimal protection position of the lightning arrester based on a preset algorithm, the servo motor is driven to drive the lead screw to accurately rotate, and front-back translation adjustment of the lightning arrester body is achieved through transmission of the driving plate and the connecting plate. And a thunder and lightning high-incidence area is actively tracked.

The invention provides a double-probe zero-value insulation identification method considering an insulator surface wetting state, and relates to the technical field of power transmission line state detection. The method comprises the steps that S1, two electric field probes are arranged on the surface of an umbrella skirt of an insulator at intervals in the axial direction, and the electric field intensities output by the two electric field probes are marked as E1 and E2 respectively; s2, calculating a deviation rate eta based on the electric field intensities output by the two electric field probes; s3, detecting a surface wetting index W of the insulator; s4, correcting the surface wetting index W to obtain a correction coefficient Kwet; s5, modifying the criterion of the zero value state into eta < lt >; and the zero value state is recognized according to the set threshold value Eta0. Kwet, and Eta0 is a fixed threshold value. According to the method, the accuracy of insulator zero value state recognition can be kept in multiple environment scenes such as rain, fog and moisture, and high robustness and high adaptability are improved for intelligent routing inspection and zero value defect recognition of a power transmission line.

The invention discloses a bus duct insulation performance evaluation system, and the system comprises a microscopic collection module which is used for collecting a joint interface microscopic image through a scanning electron microscope, and obtaining material distribution and defect parameters; the finite element analysis module is used for performing finite element analysis by utilizing the material distribution and defect parameters and calculating an electric field intensity gradient value; the electric field distortion identification module is used for identifying an electric field distortion area according to the electric field intensity gradient value and determining a partial discharge position coordinate; the dielectric parameter measurement module is used for measuring a dielectric constant and a loss factor at the partial discharge position coordinates to generate a change curve; the aging index calculation module is used for extracting peak value and slope characteristics from the change curve and calculating a material aging index; the correlation model building module is used for building a correlation model of the material aging index and the insulation strength and generating a prediction coefficient; and the evaluation optimization module is used for correcting the insulation performance evaluation value by using the prediction coefficient and outputting an optimization evaluation report.

The invention discloses a power module packaging structure. According to the chip, a non-linear conductive material coating is arranged at the connecting part of the edge of each metal bonding pad and a chip substrate, and the connecting part of the edge of each metal bonding pad and the chip substrate is the joint of the metal bonding pad, the chip substrate and an insulating encapsulating material, namely the three-phase point. Through the arrangement of the non-linear conductive material coating, the resistivity is high in a normal low field, and electric leakage is prevented; and when the local electric field intensity is increased sharply (terminal at the three-phase junction), the resistivity is reduced sharply, the electric field is uniformly dispersed, and the peak of the local electric field is inhibited, so that the overall dielectric strength and creepage distance of the module are improved. According to the technical scheme, the insulation reliability of the power module under high-voltage, high-frequency and high-temperature working conditions is remarkably improved, particularly, partial discharge is restrained at a three-phase point, the service life of the module is prolonged, and the production and maintenance cost is reduced.

The invention discloses a trench separation gate field effect transistor. The trench separation gate field effect transistor comprises a multi-stage step trench structure. The first-stage groove structure comprises a gate dielectric layer formed on the side face of the gate groove, a first dielectric layer on the surface of the bottom and a filled gate conductive material layer. The second-stage groove structure comprises a plurality of source electrode grooves, source dielectric layers and source electrode conductive material layers, wherein the source dielectric layers and the source electrode conductive material layers are formed in the source electrode grooves. First spacer regions are arranged among the source trenches, and the sum of the widths of all the source trenches and the first spacer regions is smaller than the width of the gate trench. A first buried layer and a second buried layer doped with a first conductive type and a second conductive type are formed at the top and the bottom of the first spacer region, and the second buried layer further wraps the bottom corners of the adjacent source trenches on the two sides. The gate conductive material layer is connected to the gate. Each source conductive material layer, the first buried layer and the second buried layer are connected to a source. The invention further discloses a manufacturing method of the trench separation gate field effect transistor. The invention can reduce the electric field intensity at the bottom of the gate trench.

The invention discloses a substation danger area judgment method and system based on electric field gradient perception, and relates to the field of safety monitoring, and the method comprises the steps: arranging an electric field sensor array in a key equipment area of a substation; performing noise reduction processing on the data of each sensor node to obtain an electric field vector set; obtaining the electric field intensity change rate of each monitoring point through a space vector differential algorithm, and generating an electric field gradient tensor; dividing the electric field gradient value, and constructing a dynamic danger level mapping rule; performing spatial interpolation through a Delaunay triangulation algorithm to generate an electric field gradient equipotential surface; constructing an electric field gradient space distribution model, and generating a dynamic danger boundary envelope body in real time; and correcting the boundary of the dangerous area through the pre-trained gradient compensation coefficient matrix and triggering a graded early warning signal. The method has the advantages that the electric field gradient change of the transformer substation is monitored in real time through the electric field sensor array and the wavelet denoising technology, the dangerous area is dynamically evaluated, and the accuracy and real-time performance of dangerous area judgment are effectively improved.

The invention provides an underground engineering leakage three-dimensional detection method, which comprises the following steps of: arranging a three-dimensional electrode system on an outer side and an inner side drill hole of a to-be-detected underground enclosure structure, and detecting and recording potential data and space coordinates of an electrode array; repeatedly collecting and preprocessing the collected potential data to eliminate the influence of current intensity difference and stratum conductivity difference; based on the physical coupling relationship between the electric field intensity and the formation resistivity, filling the data blind area of the inter-hole area; the three-dimensional space model of the electric field intensity is optimized and fitted through an intelligent algorithm, a three-dimensional equal-straight-plane image of the electric field is generated after data reliability is verified, and space coordinates of an electric field abnormal area are marked as suspected leakage points. The problems that in an existing detection method, positioning is not accurate, and the applicability is limited are solved.

The invention provides a partial discharge detection system based on a Rydberg atom quantum coherence effect, and the system comprises an optical excitation module which is used for transmitting two-photon laser to excite hot atoms to enter a Rydberg state; the atomic gas chamber is used for accommodating hot atoms and is coupled with an electromagnetic field generated by the partial discharge signal, so that the hot atoms generate energy level response change under the action of the electromagnetic field; the detection light path module is used for detecting a change signal of light signal intensity in the atomic gas chamber and converting the change signal into an electromagnetic response characteristic of an electromagnetic field; the signal acquisition and processing module is used for receiving the electromagnetic response characteristics, demodulating and analyzing the electromagnetic response characteristics and extracting characteristic parameters of the partial discharge signals; and the control and calibration module is used for receiving the characteristic parameters of the partial discharge signal, performing calibration based on an energy level frequency shift rule of Rydberg atoms, and outputting electric field intensity subjected to quantization calibration. The system can realize high-sensitivity, anti-interference and traceable detection of weak partial discharge signals.

The invention relates to the technical field of commercial kitchen oil fume purification, in particular to a purification system and purification method of a commercial oil fume purification all-in-one machine, and the purification system comprises an electric field monitoring unit, a self-adaptive regulation and control unit and a prediction maintenance unit, an electric field monitoring unit collects electric field intensity data of parallel polar plates through a distributed non-contact sensor array, injects spatial position codes to generate a three-dimensional matrix, and combines a polarization drift feature analysis method to identify a local abnormal region and generate an abnormal feature vector; the self-adaptive regulation and control unit dynamically modulates high-voltage power supply output parameters based on the vector, converges the field intensity of an abnormal area to a safety range, stabilizes an edge electric field synchronously through an edge auxiliary electrode array, and the prediction maintenance unit constructs an oil contamination accumulation prediction model by combining the electric field abnormal accumulation duration and the diffusion trend; and when the risk reaches a threshold value, gradient depressurization cleaning in a low-load period is triggered, the problems of unstable purification efficiency and untimely maintenance are solved, and the operation and maintenance cost is reduced.

The invention discloses a direct-current cable terminal structure optimization method and device based on a double-layer integrated stacking optimization proxy model and a medium. The method comprises the following steps: (1) carrying out trapezoid-chamfer parametric modeling on an outer side curve of an epoxy sleeve, and constructing a training sample by Latin hypercube sampling; (2) constructing a'base learner-meta learner 'double-layer integrated stacking agent model, and synchronously optimizing model configuration and hyper-parameters by using an improved sparrow search algorithm; (3) driving ISSA (International Standard Standard Architecture) to quickly optimize by using the trained proxy model to obtain an optimal geometric curve; and (4) through finite element-stream theory-thermal shock joint verification, it is confirmed that the maximum electric field intensity of the optimized terminal is reduced, the initial discharge voltage is increased, and the mechanical reliability meets the long-term operation requirement. The method solves the problem that a traditional agent model is insufficient in precision and insufficient in insulation margin of a gas-solid interface of a 550kV direct-current cable terminal, and is widely applied to localization design of + / -550kV GIS cable terminals.

The invention relates to a field effect transistor channel mobility determination method and device and computer equipment. The method comprises the following steps: acquiring a transfer characteristic curve of a target field effect transistor; determining a target effective electric field intensity interval corresponding to the grid voltage of the target field effect transistor according to the transfer characteristic curve of the target field effect transistor; determining the transistor body mobility of the target field effect transistor according to the body mobility model; based on the target effective electric field intensity interval, the coulomb scattering mobility, the phonon scattering mobility and the surface roughness scattering mobility of the target field effect transistor are determined according to a target coulomb scattering mobility model, a target phonon scattering mobility model and a target surface roughness scattering mobility model; and determining the channel mobility of the target field effect transistor based on a channel mobility model. According to the scheme, the performance of the device can be quickly and effectively evaluated, complex analysis testing is avoided, and the development speed of the device process is increased.

The disclosure provides a wafer-level enhanced electric field sensor and a preparation method thereof, which can be applied to the technical field of electric field sensors. The wafer-level enhanced electric field sensor and the preparation method thereof comprise: a substrate for supporting an electric field sensitive structure, the surface of the substrate being provided with an anchor point; the electric field sensitive structure is arranged on the substrate and is used for sensing a to-be-measured electric field, wherein the electric field sensitive structure comprises any one of the following: a charge sensing type structure, an electrostatic force type structure, a piezoelectric type structure, a piezoresistive type structure and a guided charge type structure; a field enhancement cover plate is located above the electric field sensitive structure and is used for concentrating the to-be-measured electric field so as to enhance the electric field intensity acting on the electric field sensitive structure; and an insulating support structure layer is arranged at the edge of the substrate and is used for connecting the field enhancement cover plate and the substrate.

The invention provides an unmanned aerial vehicle high-voltage environment electromagnetic interference multi-level protection method and system, and belongs to the field of unmanned aerial vehicle anti-electromagnetic interference. Comprising the steps of collecting electromagnetic spectrum data, identifying an interference type and setting an initial anti-interference parameter; monitoring the electric field intensity in the flight process of the unmanned aerial vehicle, and dynamically adjusting an active anti-interference strategy according to the interference type; differential electromagnetic shielding and wave absorbing treatment is carried out on the unmanned aerial vehicle structure module; correcting the navigation positioning information by adopting a data fusion algorithm, and compensating the sensor data in real time based on a preset interference-error mapping model; key performance indexes of communication, positioning and sensor data are monitored in real time, and when the key performance indexes exceed a threshold value, an adjustment instruction is generated for feedback iteration, and closed-loop optimization is achieved. According to the invention, full-process collaborative protection from sensing, suppression, isolation to compensation is realized, and the communication reliability, positioning precision and data accuracy of the unmanned aerial vehicle in high-voltage strong electromagnetic environments such as a high-voltage transmission line and a transformer substation are improved.

The invention discloses an efficient and uniform electroplating manufacturing method of a thick copper plate. The efficient and uniform electroplating manufacturing method comprises the following steps: step 1, carrying out chemical oil removal treatment and micro-etching coarsening on a substrate; step 2, carrying out pre-impregnation treatment and manufacturing a mask; 3, a pulse electroplating device is adopted for carrying out edge auxiliary electroplating on the plate edge, and 4, plating solution closed-loop regulation and control are carried out, specifically, a regulation and control system is provided, the regulation and control system comprises a plating solution regulation and control device and an automatic compensation module, and a PLC control system controls the automatic compensation module to quantitatively supply additives according to the difference between a detection value and a required value. According to the method, the electric field intensity of the edge and the center of the substrate is balanced, the thickness uniformity of the copper layer is remarkably improved, and the thickness difference between the edge and the center is reduced; and the deposition rate stability of pulse electroplating is ensured. And meanwhile, the working efficiency is improved, the electroplating time is shortened, the energy consumption is reduced, the dosage of an electroplating additive is reduced, the service life of an electroplating solution is prolonged, the binding force of a copper layer and a substrate is improved, practicability is high, and high popularization significance is achieved.

The invention discloses an experiment-numerical value-machine learning fusion-based in-oil liquid drop electric field dynamics modeling and regulation method, which comprises the following steps of: firstly, constructing a high-voltage electric field liquid drop experiment system, and testing oil liquid drop experiment data in oil; then establishing a multi-physics field coupling model, and describing deformation and flow field evolution of oil drops in oil under a strong electric field; and finally, constructing a BP neural network and optimizing an initial weight and a threshold value to realize rapid prediction of the deformation behavior of the oil drops in the oil under the action of the electric field. According to the method, an experimental characterization-numerical solution-machine learning optimization three-layer collaborative system is constructed, a whole-process closed loop from physical property determination, equation solution to algorithm prediction is realized, and droplet deformation, charge distribution and interface response are rapidly predicted under the conditions of different electric field intensities, temperatures and emulsifier concentrations; and active control of electric field behaviors can be realized through parameter reverse adjustment, and reliable modeling and optimization basis is provided for an electrowetting chip, a flexible EHD pump and a microfluidic liquid drop regulation and control system.

The invention discloses an ultra-high voltage nuclear phase correction method, device and equipment based on multi-source data fusion and a medium, and relates to the technical field of power grids, and the method comprises the steps: firstly obtaining the t-th round of multi-source data and a real phase value of ultra-high voltage equipment; and inputting the multi-source data into the pre-trained neural network model to generate a correction coefficient, correcting a phase value by combining the correction coefficient and the original phase value, and calculating a phase error with a real phase value. If the phase error exceeds the error threshold value and the adjustment frequency does not exceed the adjustment frequency threshold value, adjusting the gain of the acquisition equipment amplifier according to the electric field intensity, and re-acquiring the (t + 1) th round of multi-source data; and outputting a corrected phase value if the phase error reaches the standard. In addition, the correction phase value needs to be rechecked by two persons, and when the deviation exceeds a second threshold value, intelligent contract alarm and frozen combination ring operation are triggered; time deviation and a second phase error can be obtained through the current temperature, and secondary correction is carried out on the original phase value. According to the method, the nuclear phase precision and safety of the ultrahigh-voltage equipment can be improved.

The invention relates to a transformer oil acetylene abnormity early warning system and early warning method based on multi-physics field data fusion and a computer readable storage medium, and solves the problem that a transformer fault cannot be accurately judged based on a single parameter in the prior art. According to the technical scheme and technical effects, the system integrates gas, thermal field, electric field and magnetic field sensors, collects acetylene concentration, temperature, electric field intensity, magnetic field and other multi-source data in real time, inputs the data into a deep neural network DNN fusion model after wavelet transform denoising, normalization and machine learning preprocessing, extracts features in combination with PCA, analyzes multi-physics field association, and obtains the multi-source data of acetylene concentration, temperature, electric field intensity, magnetic field and the like. Graded early warning is formed based on DNN output and a dynamic threshold value, the accuracy and predictive capacity of fault diagnosis are effectively improved, accurate monitoring and intelligent early warning are achieved, safe operation of the transformer is guaranteed, meanwhile, due to the modular design, the system can adapt to transformers of different models and complex working condition scenes, and high practicability and expansibility are achieved.

The application provides a semiconductor device and a preparation method thereof, wherein the gate dielectric layer comprises a first edge region and a first central region, the thickness of the first edge region is greater than that of the first central region, and the source-drain region is formed in the semiconductor substrate on both sides of the gate dielectric layer. Since the thickness of the first edge region of the gate dielectric layer is greater than that of the first central region, the electric field intensity of the first edge region of the gate dielectric layer can be reduced, the longitudinal electric field intensity near the source-drain region is reduced, the injection energy of the electrons is reduced, the difficulty of the electrons to inject into the gate through the first edge region of the gate dielectric layer is increased, the hot carrier injection effect of the device is improved, the reliability of the device is improved, and the risk of circuit failure in the device is reduced.

The invention discloses a long-wave infrared detector based on electric field intensity distribution regulation and control and a preparation method, and relates to the technical field of semiconductors, the long-wave infrared detector comprises a substrate, a bottom contact layer, a hole barrier layer, an absorption layer, an electron barrier layer and a top contact layer which are sequentially arranged from bottom to top; wherein the bottom contact layer and the hole barrier layer adopt an InAs / GaSb / AlSb / GaSb superlattice structure; the absorption layer, the electron barrier layer and the top contact adopt an InAs / GaSb superlattice structure; the doping concentration of the absorption layer is greater than the doping concentration of the hole barrier layer and the electron barrier layer. The doping concentration of the absorption layer is set to be greater than that of the barrier layer, so that the width of a depletion region of the absorption layer is reduced, the depletion region deviates towards the barrier layer, the probability of SRH recombination is reduced, G-R current can be effectively inhibited, and the overall dark current level is reduced.