808results about "Electrostatic field measurements" patented technology

The invention discloses a cable life dynamic evaluation system based on multi-physics field coupling, and particularly relates to the field of industrial automation and control systems, which comprises a multi-physics field sensing module, a coupling analysis engine module, a dynamic life evaluation module, a digital twin interaction module and an environmental interference suppression module, through a distributed optical fiber temperature sensor, a capacitive electric field sensor and a magnetostrictive stress sensor, temperature, electric field, magnetic field and mechanical stress data of a cable are collected in real time, multi-physical field characteristics and a cable defect database are matched in real time by using a cross-scale dynamic association algorithm, a damage state is evaluated, and the cable defect detection accuracy is improved. A time sequence neural network architecture is adopted to predict the remaining life, model self-correction is achieved through digital twin comparison, interference is suppressed in combination with an environment-physical field coupling compensation matrix, sensing and evaluation of the health state of the cable, life prediction and continuous optimization of the model are achieved, and the efficiency of cable life evaluation is improved.

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 discloses an electric field sensor-carrying unmanned aerial vehicle electricity testing platform and an electricity testing method, and relates to the technical field related to electricity testing, and the platform comprises an initialization unit which is used for calling electricity testing scene data and weather environment data according to an electricity testing task instruction to carry out the flight path planning of a multi-rotor unmanned aerial vehicle; the linkage acquisition unit is used for executing electric field signal acquisition; the alignment return unit is used for returning the mapped position attitude data and the electric field signal set to the edge calculation layer; a suppression unit for performing environmental interference suppression; and the discrimination unit is used for executing electricity verification correction discrimination of the electric field signal set and the mapped position attitude data and generating an electricity verification correction discrimination result. The technical problems that in the prior art, flight path planning is not scientific, electric field signal collection is prone to being interfered, data processing and judging efficiency is low, accuracy is poor, and electricity testing work efficiency and safety are poor are solved, and the technical effects of improving electric field signal processing accuracy, electricity testing work efficiency and safety are achieved.

The invention discloses an error correction method and device for non-intrusive voltage differential measurement, a medium and a product, and relates to the technical field of voltage measurement, and the method is applied to a scene in which a differential electric field sensor array is arranged in a set range with a measured conductor as the center. Comprising the following steps: constructing an initial correction model based on a sensor distance and a measured conductor voltage; under the actual working condition, the initial correction model is processed through a least square method, and a correction model is obtained; when non-intrusive voltage differential measurement is carried out, the current measured conductor voltage and the sensor distance are obtained, and a correction coefficient is determined by adopting the correction model; and completing error correction of non-intrusive voltage differential measurement based on the correction coefficient. According to the invention, the complexity of an inversion algorithm and the special requirement on the spatial position of the sensor can be reduced.

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 zero-value insulator identification method and system based on multiple sensing modules. Firstly, space electric field probes are arranged in the space where two insulator strings are located, and the detection path of each probe is defined; then judging whether the insulator strings deflect or not by calculating the relative distance difference between the two insulator strings; if not, the space electric field effective value of each detection path at the same moment is collected, and whether a zero-value insulator exists or not is judged by calculating a symmetry judgment value; and if not, independently acquiring the effective value of the space electric field on the corresponding path of the insulator string at a set sampling interval, and judging whether the zero-value insulator exists or not by calculating the electric field deviation rate on each section of sampling path. The zero-value insulator in the insulator string under different postures can be accurately recognized, and the method has the advantages of being non-contact, high in real-time performance, capable of adapting to complex working conditions and the like.

The invention relates to the technical field of signal detection, in particular to a weak electric field signal detection method and system. According to the invention, complete information of frequency, amplitude and phase of a to-be-measured electric field signal is obtained at the same time in one measurement of the injection locking phonon laser, a to-be-measured laser amplitude spectrum and a to-be-measured laser phase spectrum are generated by the same injection locking phonon laser, and the amplitude signal and the phase signal which are measured and received must arrive at the same time. The two are simultaneous in time and have natural orthogonality in physics; therefore, compared with a traditional double-phase lock amplifier for analyzing two asynchronous signals to be measured received by two frequency mixers, the method for analyzing the laser amplitude spectrum and the laser phase spectrum to be measured to obtain the electric field information to be measured has the advantages that the accuracy is higher; the double-phase lock amplifier solves the technical problem of measurement errors caused by deviation of to-be-measured signals received by two frequency mixers in a traditional double-phase lock amplifier.

The invention discloses a tower grounding grid multi-frequency composite wave electric field imaging and soil environment medium diagnosis method, which comprises the following steps of: generating a composite excitation signal through superposition of a low-frequency sine wave and a high-frequency CHIRP square wave, and collecting multi-dimensional data such as voltage / current response, soil temperature and humidity, electric field intensity and the like in combination with a distributed sensor array; separating signal features by using wavelet transform and extracting impedance information of a target frequency point; a multi-grid homotopy algorithm is adopted to realize grounding grid three-dimensional resistivity distribution reconstruction, corrosion spots and abnormal areas are marked, and high-precision positioning of underground conductors is completed through UWB radar or a capacitance detector; meanwhile, based on the information entropy maximization optimization frequency band combination, the grounding grid state is comprehensively evaluated in combination with a multi-parameter fusion model. The method has the non-contact patrol capability, the unmanned aerial vehicle carries equipment to scan the grounding grid, the detection efficiency and convenience are remarkably improved, and an efficient and accurate solution is provided for guaranteeing safe operation of the power grid.

The invention discloses an MEMS and TMR fused overhead line lightweight monitoring device, and the device comprises an annular shielding cover which sleeves a to-be-detected overhead conductor and is coaxial with the to-be-detected overhead conductor, and the side wall of the annular shielding cover is provided with a through hole; the sensing unit comprises at least two MEMS electric field sensors and at least two TMR magnetic field sensors and is used for detecting an electric field and a magnetic field generated by the overhead conductor to be detected; the analysis processing unit is used for receiving, processing and transmitting the signal generated by the sensing unit; and the power supply unit is arranged in the annular shielding cover and is electrically connected with the sensing unit and the analysis processing unit. The beneficial effect of the invention is that the coupling crosstalk phenomenon generated by an external electromagnetic field can be effectively suppressed. Moreover, the monitoring device is small in size, is convenient to install and deploy in a complex line environment, provides a stable hardware basis for precise inversion of voltage and current through structural cooperation, and provides reliable support for intelligent monitoring of an overhead line.

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 novel environment-friendly insulating gas surface flashover characteristic evaluation method based on surface charge on-line measurement, which comprises an electric field measurement system based on an electric field induced second harmonic effect (EFISH), a coupling high-voltage surface flashover experiment system, and an evolutionary process of an electric field in a process of applying high voltage to surface flashover, the evolutionary process of charge distribution is obtained based on the electrostatic field source relation, the starting moment of surface flashover is determined by measuring sound, light and electromagnetic signals in the surface flashover process, and the starting area of the surface flashover is observed through a high-speed camera; and associating the relationship between the charge and the surface flashover, and quantitatively explaining the induction effect of the charge on the flashover.

The invention provides a rainstorm lightning disaster risk early warning method and system based on an analytic hierarchy process, and the method comprises the steps: obtaining historical thunderstorm frequency data and thunderstorm movement path data of a target region, and analyzing and determining the sensitivity levels of different regions in thunderstorm activities; the lightning stroke risk assessment model is decomposed into a target layer, a criterion layer and a scheme layer by using an analytic hierarchy process; according to historical data including lightning stroke historical data, thunderstorm historical data and disaster damage historical data, performing pairwise comparison on each factor of the criterion layer, and constructing a judgment matrix; acquiring spatial position information and characteristics of different types of disaster-bearing bodies, performing overlay analysis according to spatial positions of the disaster-bearing bodies and the lightning drop point probability distribution map, calculating lightning stroke probability values of areas where the disaster-bearing bodies are located, and generating a disaster-bearing body risk level distribution map.

The invention belongs to the technical field of high-power microwave effect tests in laboratories, and relates to a built-in conformal optical fiber electric field sensor array test system and method, and the method comprises the following steps: S1, preparing before implementation; s2, quick assembly and disassembly are carried out; s3, real-time measurement and closed loop are carried out; s4, a step of result confirmation and log uploading; s5, a step of preparing a next round of experiment; the technical scheme of the invention is mainly used for carrying out internal electric field distributed measurement on a fixed test body or a slide rail supported test body in a shielding cabin, a compact range or a GTEM room and other experimental environments; the system is composed of a conformal optical fiber electric field sensor array, an optical fiber link unit, a photoelectric integration module, a self-calibration unit, an energy source and an interface, can be assembled and disassembled within 5 min, can be repeatedly used for more than 100 times, remarkably reduces the operation cost of a laboratory, and provides a core test means for a high-precision, high-efficiency and low-cost anti-missile weapon HPM effect test.

The invention relates to the technical field of electricity testing devices, in particular to a non-contact electricity testing device for alternating current and direct current overhead line mixing and an electricity testing method.The non-contact electricity testing device comprises a moving plate and an electrode plate, the moving plate is rotationally arranged, and the moving plate and the electrode plate are arranged in the extending direction of the rotating axis of the moving plate; metal coatings are arranged on the surfaces, close to and away from the movable plate, of the electrode plates. Through the design that the moving plate and the electrode plate are arranged in the direction of the rotating axis, the double-sided metal coating structure of the electrode plate is combined, the alternating-current and direct-current electric field is detected through one device, integration of the electricity testing device is achieved, and the operation efficiency is improved.

The invention discloses a high-voltage test hall anti-electric shock early warning system and method based on multi-source data fusion, and the system comprises an electric field dynamic monitoring module which is used for collecting and calibrating electric field data through a distributed three-axis field intensity sensor array, and predicting the field intensity distribution through the combination of an ARIMA-GRU hybrid model; the UWB-IMU cooperative positioning module adopts a TOF-TDOA-AOA algorithm to fuse inertial data so as to realize the positioning of a tester; the vital sign abnormity detection module is used for monitoring body surface leakage current and physiological parameters; the three-dimensional real scene modeling module constructs a dynamic safety boundary based on laser SLAM; the fuzzy comprehensive evaluation decision module dynamically allocates weights through an LSTM-ATT model and calculates risk indexes; and the multi-stage emergency linkage control module executes graded power-off response. Through multi-source data fusion and dynamic threshold adjustment, quick power-off response and full-scene risk management and control are realized, the false alarm rate is reduced, and high-voltage test electric shock accidents are effectively prevented.

The invention discloses a dry-type bushing fault multi-parameter monitoring method and system, and belongs to the technical field of electrical insulation monitoring. The method comprises the following steps: acquiring collected original sensing data of a key part of the dry-type bushing, performing data normalization processing on the original sensing data, and acquiring sensing data of the key part of the dry-type bushing; extracting feature information in the sensing data of the key part of the dry-type bushing to obtain feature extraction information; performing anomaly detection on the feature extraction information by using an isolated forest anomaly detection mechanism to obtain an anomaly score; and according to the abnormal score, judging whether the dry-type bushing has a fault or not.

The invention relates to the technical field of power grid measurement, in particular to a miniaturized wireless self-powered alternating current electric field measurement method and system. Comprising the following steps: acquiring radio frequency energy in an electric field environment, and converting the radio frequency energy into direct current electric energy through a radio frequency energy acquisition system consisting of a microstrip antenna, a voltage doubling rectifying circuit and an energy management circuit; an alternating current electric field signal is collected through a differential dual-electrode sensor structure, and an electric field voltage signal is generated; amplifying the voltage signal through an instrument amplifier, and obtaining a digital signal of the electric field signal through an analog-to-digital conversion circuit; and processing and analyzing the alternating current electric field information according to the digital signal. By combining a radio frequency energy acquisition technology with a differential dual-electrode sensing structure, the electric field sensor has the performance characteristics of self energy supply, miniaturization, high precision, wide frequency response and low power consumption. The system can measure various types of electric field signals, including sine wave, triangular wave and square wave electric field signals, has a wide frequency range and a wide measuring range, and is excellent in linearity.

The invention discloses an application method and system of an intelligent electroscope in marketing operation, and the system employs a non-contact electric field sensing module to detect the power-on state of an electric power line, avoids manual contact measurement, reduces the risk of electric shock of personnel, carries out the filtering and feature extraction (time domain and frequency domain features) of an electric field signal through a data processing unit, and improves the detection precision. A machine learning model (such as SVM and DNN) is combined to train historical data, real electrified signals and interference signals can be effectively distinguished, and detection errors are reduced; electricity testing data remote transmission is achieved by means of a wireless communication module, task issuing, automatic result uploading and abnormal alarm are completed in combination with a marketing operation system, manual recording and feedback are not needed, the problems that remote confirmation is difficult and information transmission lags behind in a traditional mode are solved, and intelligence and high efficiency of electricity marketing operation are improved; the positioning module records the geographic position of the electricity testing point and synchronizes the geographic position to the marketing operation system, thereby facilitating operation flow tracing and task overall scheduling, and optimizing the marketing operation flow.

The invention relates to an insulating material, in particular to a nano composite insulating material, an insulated cable and an insulation defect repairing robot. The nano composite insulating material comprises core-shell particles, modified montmorillonite and crosslinked polyethylene, wherein each core-shell particle is provided with a core layer and a shell layer. The insulating layer of the insulated cable is made of the nano-composite insulating material. The insulation defect repairing robot can utilize the insulation defect repairing material to repair the crack defect of the insulation layer of the related cable. The material can automatically repair cracks under the action of an electric field and a thermal field, repeated repair for more than five times is achieved, micro defects smaller than or equal to 100 microns can be automatically repaired in the cable operation process, 90% of unplanned power failure faults are reduced, and the whole life cycle fault cost is reduced by 60%.

The invention relates to the technical field of lightning protection, and discloses a natural gas station lightning protection monitoring method. The method comprises the following steps: acquiring electric field and equipment state data in real time by using a triangular networking electric field instrument and a multi-type sensor; performing time-frequency domain decomposition on the data, and constructing a feature library containing historical experience; then, fusing physical model calculation and historical mode matching, and generating a lightning current predicted value; an early warning threshold value is adjusted according to the health state of the equipment, and accurate early warning is achieved; according to the method, a physical rule formed by thunder and lightning is combined with a historical data driven mode, meanwhile, the influence of the equipment state on early warning is considered, the problems that a traditional method is low in prediction precision and poor in equipment linkage performance are solved, and the method is suitable for popularization and application. And a dynamic and accurate thunder and lightning protection scheme is provided for the natural gas station.

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 relates to the technical field of high-voltage electrostatic parameter measurement and circuit detection and analysis, and discloses a lampblack purifier high-voltage field intensity detection circuit method based on electrical variable measurement, which comprises the following steps: acquiring a real-time discharge current and output voltage data sequence of a detected electrostatic field load; determining a dynamic electrical stiffness parameter according to the response gradient; extracting a direct current component of the current to determine a real-time leakage conductance parameter; establishing coupling characteristics of the electrical stiffness increment and the leakage conductivity change rate, and judging impedance boundary displacement when the characteristics are mismatched; calculating the virtual displacement of the surface of the polar plate by using the discrete curvature of the electrical stiffness evolution trajectory; according to the method, the field intensity dynamic compensation is realized by sensing the change of a charge migration path, and the calculation deviation caused by medium accumulation is eliminated.

The invention relates to the field of thunder and lightning early warning, and discloses an intelligent thunder and lightning early warning system for a large oil and gas storage base, which consists of a multi-source monitoring module, a data processing and analyzing module, an early warning module and a linkage protection module, wherein the multi-source monitoring module is responsible for collecting data from multiple dimensions, and the data processing and analyzing module is used for preprocessing the data and calculating the probability of lightning occurrence through a specific model; the early warning module sends out a corresponding early warning signal according to the danger level, and the linkage protection module automatically triggers a corresponding protection measure according to the early warning signal; by adopting multi-source data fusion, probability model analysis and a hierarchical linkage mechanism, the problems of false alarm and missing alarm existing in a traditional single monitoring method are effectively solved, accurate early warning and intelligent protection of the oil and gas storage base are achieved, and the thunder and lightning safety protection capacity of the large oil and gas storage base is remarkably improved.

The invention discloses a non-equilibrium Michelson interferometer electric field sensor capable of automatically calibrating temperature influence, which has the characteristics of wide bandwidth, high measurement precision and small interference of distribution of an electric field to be measured, and can also automatically calibrate temperature influence and prevent a working point of the non-equilibrium Michelson interferometer electric field sensor from deviating. The electric field sensor comprises a lithium niobate substrate, the lithium niobate substrate is provided with a non-equilibrium Michelson interferometer, the non-equilibrium Michelson interferometer comprises an input and output waveguide, the input and output waveguide is connected with a first waveguide arm and a second waveguide arm which are different in length, two sides of the first waveguide arm are provided with electrodes, and the second waveguide arm is provided with electrodes. An antenna is arranged on the electrode, a first metal reflecting mirror is arranged at the tail end of the first waveguide arm, a second metal reflecting mirror is arranged at the tail end of the second waveguide arm, the first metal reflecting mirror and the second metal reflecting mirror are both arranged on the lithium niobate substrate, and the thermal expansion coefficients of the first metal reflecting mirror and the second metal reflecting mirror are different.

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 discloses a landfill leakage detection method and system based on a boundary double-voltage electric field, and the method comprises the steps: building an artificial electric field which covers the whole area of a landfill along a boundary measuring line electrode at the periphery of the landfill based on the high-resistance characteristic of an impermeable film and the conductive characteristic of leachate, and collecting the boundary potential and electric field data through the high and low double-voltage artificial electric field, the method comprises the following steps: constructing a boundary survey line data pair of physical alignment through differential denoising and normalization preprocessing, adopting an encoder-decoder architecture based on 1D-CNN, fusing spatial transformation and a Focal Loss loss function, directly learning a mapping relation between a boundary survey line potential anomaly mode and an internal leakage position, and outputting a leakage probability distribution diagram of a corresponding landfill contour. The method does not need to excavate and pre-embed the landfill pile body, the positioning precision reaches + / -2m, the single detection time consumption is less than or equal to 4h, the comprehensive cost is reduced by 70%, the electrode reuse rate is greater than or equal to 90%, the method is suitable for landfill sites with various shapes and various stages, and efficient, accurate and low-cost detection of the leakage area is realized.

The invention discloses a non-intrusive sensor with an external excitation source and a voltage measurement method, and the non-intrusive sensor comprises an induction signal collection unit, an induction signal conditioning unit, and a main control unit. The main control unit is respectively connected with the induction signal conditioning unit and the cable power supply, the induction signal conditioning unit is connected with the induction signal acquisition unit, and the induction signal acquisition unit is in non-contact inductive coupling connection with a cable to be detected; the main control unit is used for injecting the specific excitation signal into an alternating current loop of a cable power supply to form a composite signal, analyzing the composite signal based on a preset excitation source amplitude parameter, and calculating the power supply voltage of the to-be-detected cable; the induction signal acquisition unit generates a corresponding induction signal by capturing electric field energy generated by a composite signal in the to-be-detected cable; the induction signal conditioning unit carries out standardization processing on the induction signal. According to the invention, the technical problems of low external excitation voltage measurement precision, low system integration and single excitation source generation mode in the prior art are solved.

The invention relates to an electric field visualization real-time monitoring system and method, belongs to the technical field of electric field visualization, and is used for solving the problems of insufficient real-time performance, large measurement interference, incomplete imaging, weak multi-user cooperation and lack of unified time reference in the prior art. The method comprises the following steps: acquiring electric field scattering data of a test body by a conformal optical fiber electric field sensor array, transmitting the electric field scattering data to an edge GPU node through a plastic optical fiber-CAN-FD link, and converting the electric field scattering data into electric field amplitude data; the edge GPU node is combined with WebGL3D texture mapping and a volume ray casting algorithm to complete volume rendering, and multi-user concurrent interaction is realized through a Web server and a browser client; and a White-Rabbit clock architecture is adopted to provide a unified time reference for the whole process. According to the method, dynamic and accurate capturing of the electric field is achieved, and the multi-user concurrent access requirement is effectively met.

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 electric field measuring device for continuously tunable microwave frequency based on Rydberg atoms. The electric field measuring device comprises a reflecting mirror, an atom steam pool, a first electrode plate, a second electrode plate, a dichroscope, a photoelectric detector and a data receiving module, the detection laser passing through the reflector and the coupling laser passing through the dichroscope oppositely hit into the atom steam pool to coincide, and a transmitted optical signal enters the photoelectric detector after hit into the atom steam pool; the photoelectric detector is electrically connected with the data receiving module; the first electrode plate and the second electrode plate are externally arranged above and below the atomic steam pool respectively; the first electrode plate and the second electrode plate are used for applying an alternating current electric field acting on the atomic steam pool, and different AC Stark frequency shifts are generated by controlling the electric field intensity of the alternating current electric field, so that high-sensitivity measurement of the continuous tunable microwave frequency electric field is realized. According to the invention, high-sensitivity measurement of the continuous tunable microwave frequency electric field can be realized, and the accuracy of a measurement result is ensured.