6543results about "Voltage/current isolation" patented technology

The invention discloses a distribution line fault intelligent diagnosis method based on multi-source information fusion, and belongs to the technical field of power system fault detection and diagnosis, and the method comprises the steps: obtaining distribution line data and meteorological data; superposing the distribution line data with the meteorological data to generate a space-time fusion feature matrix based on the wire space displacement; dynamically adjusting a preset initial threshold value by using the space-time fusion feature matrix; and performing multi-round verification on the abnormal fluctuation of the electrical parameters of the line according to the fault judgment threshold, generating a fault positioning instruction, performing real-time matching with the topological structure of the line, correcting the priority queue of the fault section based on the switching action feedback data of the feeder terminal, and triggering the fault removal action matched with the priority. According to the method, spatial-temporal feature fusion of current, voltage, weather and spatial displacement data and a dynamic threshold adjustment mechanism are adopted, the fault type can be accurately identified, the fault section can be positioned in real time, and the diagnosis precision and the response speed in a complex environment are remarkably improved.

The invention provides an online monitoring method and device for the insulation performance of a power cable. The method comprises the steps that a multi-mode sensor network is constructed to synchronously collect multi-dimensional cable data, an electromagnetic-thermal-chemical multi-physics field coupling model is established, and the insulation state of the cable is analyzed in real time. And monitoring the insulation defect and predicting the residual service life by using the mixed deep learning model. And dynamically generating an early warning threshold value by adopting a digital twinning method based on spatio-temporal characteristics, and adaptively adjusting a monitoring strategy. According to the invention, multi-dimensional data are synchronously acquired through the multi-modal sensor network, and the limitation of single parameter monitoring is broken through. The insulation degradation characteristics of the cable are accurately captured through multi-dimensional data fusion, and quantitative description of energy transfer and material evolution is achieved through a constructed coupling model. And through a residual network and a cavity convolution space encoder, combining a bidirectional LSTM-GRU time encoder, and extracting spatial and temporal characteristics of the cable. The cross-modal attention mechanism fuses multi-source features, and improves the accuracy of defect identification and life prediction.

The invention discloses an intelligent monitoring and early warning system for the safety state of an electrical cabinet, and belongs to the technical field of electrical variable measurement, and the system comprises a data collection module which is used for obtaining multi-source sensing data of the electrical cabinet, and the multi-source sensing data comprises a current waveform parameter, an infrared temperature distribution parameter and a mechanical vibration spectrum parameter; the health feature evaluation module is used for generating a health state feature vector of the electrical cabinet by using the multi-source sensing data; the instruction generation module is used for outputting an early warning decision instruction according to a matching result of the health state feature vector and a preset fault propagation rule base; and the safety protection module is used for executing a safety protection action when the early warning decision instruction meets a preset execution condition. A multi-source sensing data fusion analysis technology is adopted to construct an electrothermal mechanical composite feature vector, a fault propagation rule base is coupled to realize cross-domain conduction path modeling, composite hidden dangers such as contact deterioration and the like can be accurately identified in a fault incubation period, and graded active safety protection measures are triggered.

The invention discloses a transformer monitoring method and system based on cloud edge fusion, and relates to the technical field of transformer monitoring. The method comprises the following steps: acquiring a historical fault database of a target transformer, and carrying out statistical recognition to obtain fault occurrence parameter information; positioning and acquiring a plurality of transformer monitoring points, and deploying edge sensors and edge computing devices on the plurality of transformer monitoring points respectively; multiple point position sensor monitoring data streams are obtained, mapping anomaly analysis is carried out, and multiple point position anomaly edge feature information is obtained; performing abnormal fusion analysis to obtain abnormal fault parameters of the transformer; and performing cluster parameter optimization based on the transformer abnormal fault parameters to obtain operation and maintenance optimization control parameters, and performing fault operation and maintenance management and control on the target transformer based on the operation and maintenance optimization control parameters. The technical problem of insufficient transformer monitoring real-time performance and accuracy in the prior art is solved, and the technical effect of improving the transformer monitoring real-time performance and accuracy is achieved through the cloud edge fusion technology.

The invention discloses a grinding machine internal part temperature anomaly detection method based on vibration signal analysis, which comprises the following steps that grinding data are collected through sensor deployment, and the sensors comprise a temperature sensor, a vibration sensor, an infrared thermal imaging sensor, a magnetic resistance current sensor and an inductance type particle sensor; carrying out preprocessing and feature extraction on the collected data; model construction and training are carried out based on data of preprocessing and feature extraction; according to the method, the abnormal condition of the temperature of the part is predicted by detecting the vibration signal of the internal part, the content of metal particles in lubricating oil is detected through the oil analysis sensor, and the abrasion degree of the bearing is judged in combination with the vibration signal. And motor current harmonic characteristics are monitored, and overload or rotor imbalance problems are identified.

The invention provides a high-voltage cable partial discharge identification and positioning method, and relates to the technical field of high-voltage cable diagnosis, and the method comprises the steps: collecting partial discharge pulse signals through high-frequency current transformers disposed at two ends of a high-voltage cable; carrying out noise reduction processing on the acquired partial discharge pulse signal by using an adaptive multi-scale wavelet decomposition and reconstruction method to obtain a partial discharge characteristic signal after noise reduction; inputting the partial discharge characteristic signal into a pre-trained lightweight residual attention network for identification and classification, and outputting a discharge type discrimination result, discharge intensity and characteristic parameters; and based on the discharge type discrimination result, the discharge intensity and the characteristic parameters, a self-correction double-end positioning algorithm is adopted to position the discharge source, and the position of the discharge source is calculated. According to the invention, the technical problems of unsatisfactory signal noise reduction effect, low discharge type identification accuracy, unstable positioning precision and the like in the prior art can be solved, so that high-precision identification and positioning of partial discharge of the high-voltage cable are realized.

A sensing system is provided for contactless sensing of current. The system includes a conductor for generating a magnetic field as electric current flows through the conductor, the conductor having a predetermined width and comprising a hole with a predetermined hole width passing through the whole thickness of the conductor, and a magnetic sensor for measuring at least one component of the magnetic field generated by the conductor. The magnetic sensor overlaps the hole. The current sensing is done based on the measured magnetic field. The sensor is positioned at a predetermined distance over a top surface of the conductor. The width of the hole is at least 0.15 times the width of the conductor.

The invention discloses a control circuit of an electronic load, the electronic load and a power supply test system. The circuit comprises an MCU; the signal output end of the MCU is connected with the input end of the DAC module; the closed-loop control circuit comprises a first error amplifier, a mutual inductor, an MOS (Metal Oxide Semiconductor) tube, a current sampling resistor and a power supply end VBUS; a mutual inductor is arranged between a first error amplifier and an MOS tube of the closed-loop control circuit, a power supply end VBUS is connected with a drain electrode of the MOS tube through a primary side of the mutual inductor, a first secondary side of the mutual inductor feeds back an input signal of the first error amplifier, and a second secondary side of the mutual inductor feeds back a driving signal of the first error amplifier to the MOS tube. According to the invention, the dynamic response speed when the electronic load pulls the high-frequency current can be improved, and the test requirements of high precision and high dynamic response are met.

The embodiment of the invention provides a differential Hall current sensor and a manufacturing method thereof, and belongs to the technical field of semiconductors. The differential Hall current sensor comprises a current bar; the insulating layer is bonded on the upper surface of the current bar; the at least two Hall elements are symmetrically arranged on the two sides of the upper surface of the insulating layer in the current direction; and the at least one deflection magnetism gathering block is attached to the magnetic induction surfaces of the at least two Hall elements and is used for deflecting a magnetic field component of the current magnetic field in the direction parallel to the magnetic induction surfaces of the Hall elements into a magnetic field component in the direction perpendicular to the magnetic induction surfaces of the Hall elements. According to the differential Hall current sensor, the current magnetic field is gathered through the deflection magnetism gathering block to form a conduction magnetic circuit, the directions of the magnetic field components are changed, the Hall element obtains the magnetic field intensity formed by superposing the magnetic field components in the two directions, and the measurement sensitivity is improved.

The invention relates to the technical field of electrical performance testing, in particular to a water supply equipment electrical performance detection system based on artificial intelligence, which comprises an electrical parameter acquisition module, an energy efficiency analysis module, an insulation performance evaluation module and a comprehensive diagnosis module. According to the invention, a three-phase voltage and current root-mean-square value is dynamically calculated through a broadband current transformer and a sliding window integration method, a 50Hz fundamental component amplitude is extracted to separate power frequency and high frequency harmonic waves, a continuous period energy efficiency ratio standard deviation triggers an insulation detection threshold value, and a parameter fluctuation and insulation degradation response mechanism is established. Harmonic interference correction synchronous processing energy efficiency ratio and leakage current integration, the detection error being lower than 5%, temperature rise rate linear regression and bearing current threshold value cooperative determination, winding aging cross validation, fault misjudgment rate reduction to 26%, closed-loop detection fusion transient capture, dynamic threshold value triggering and multi-parameter diagnosis, early warning success rate reaching 92%, and positioning response being reduced to 3 seconds.

The invention relates to the technical field of power equipment state monitoring, in particular to a transformer iron core alternating current and direct current mixed current on-line monitoring method and system based on a magnetoelectric coupling sensor, and the method comprises the steps: monitoring the change of magnetic flux generated by the vibration of an iron core in a transformer in real time through a magnetoelectric coupling sensor array; the magnetic flux change is converted into an original electric signal, the original electric signal is processed, an alternating current signal component and a direct current signal component in the mixed current are extracted, and historical operation data and real-time environment parameters of the alternating current signal component and the direct current signal component are input into a deep recurrent neural network to be trained; and the deep recurrent neural network outputs the enhanced stray current and the direct current signal after the environmental influence is eliminated after iterative training. According to the invention, high-precision prediction of the temperature of the iron core is realized by using a method of combining a deep recurrent neural network and adaptive decomposition; and the neural network is trained by using the dynamic data, so that the dynamic processing capability of the network is enhanced and the operation reliability of the transformer can be effectively improved.

The invention discloses a non-contact magnetoelectric composite current sensor with magnetism gathering and magnetic shielding. A sensor core is composed of a magnetoelectric sensing element, a magnetofluid layer, a magnetism gathering structure and a magnetic shielding layer. The magnetoelectric sensing element is made of manganese-doped lead magnesium niobate and amorphous alloy film composite materials, the outer side of the sensing element is coated with a magnetofluid layer made of soft magnetic composite materials, the magnetism gathering structure is made of permalloy materials with high magnetic conductivity and is divided into an upper part and a lower part, the upper part accommodates the sensing element and the magnetofluid layer, and the lower part accommodates the magnetic gathering structure. And the lower part is provided with a standardized groove for placing a conductor to be tested. The outermost layer is a magnetic shielding layer composed of multiple layers of nanocrystalline alloy strips, the vertical split type design is also adopted, and it is ensured that the magnetic shielding layer is tightly matched with the magnetic gathering structure through precision machining. The upper magnetic shielding layer and the lower magnetic shielding layer are detachably connected, and field installation is facilitated. The overall structure is compact, a circuit does not need to be disconnected during installation, and the device is especially suitable for on-line current monitoring requirements in the fields of smart grids, industrial automation and the like.

The invention relates to the field of cable monitoring, in particular to a high-voltage cable running state comprehensive monitoring method based on a TMR magnetic sensor. According to the method, firstly, a TMR magnetic sensor is adopted to collect sheath current and partial discharge pulse signals of a cable joint grounding wire, then amplification, filtering and AD change are carried out, Fourier transform is carried out, and low-frequency signals and high-frequency signals are separated out; carrying out frequency spectrum analysis on the high-frequency signal, preliminarily judging whether a discharge defect exists or not, carrying out Fourier inversion on the low-frequency signal, evaluating a grounding state and an insulation health state of a cable sheath, carrying out Fourier inversion on the high-frequency signal, and carrying out partial discharge fault type analysis in combination with a time domain partial discharge pulse signal and a power frequency current phase; and finally, comprehensively evaluating the operation state of the high-voltage cable by analyzing the grounding current of the sheath and the related parameters of partial discharge. According to the invention, the hardware cost is reduced, the system design and installation complexity is simplified, and the accuracy of partial discharge fault type identification is improved.

The invention provides a fault detection method, device and equipment for a direct current transformer with variable magnetic flux density, and the method comprises the steps: obtaining a magnetic field recovery curve family through gradient pulse excitation, and extracting a characteristic spectrum which reflects the fatigue degree of an iron core; separating fast and slow recovery components by using a time scale decomposition technology, calculating a scale coupling factor and establishing a dynamic health reference; a hysteresis critical point is positioned by adopting a bidirectional approximation test, and a fault precursor is identified from hysteresis width parameters; extracting an intersection point position through curve family cross analysis, constructing an angle field, calculating an angle sequence, and quantifying a fault development speed; designing a self-adaptive excitation scheme based on the development speed, and identifying a fault resonance mode from the chaotic transition features; a multi-resolution space fault distribution diagram is generated through phase space trajectory deviation degree analysis; spatial distribution and time sequence evolution information are fused to calculate a comprehensive fault index, four-stage classification diagnosis is realized, and a complete mutual inductor fault detection technical scheme from early warning to accurate positioning is formed.

The invention provides a coal mine underground 3DR electric leakage detection protection method, which comprises the following steps of: constructing an auxiliary star point connected with a system by using three-phase half-waves of a power supply system of a converter substation through a common cathode or common anode connecting wire; a residual current Hall sensor is used for detecting electric leakage residual current of different harmonic waves, and a 3DR electric leakage insulation resistance measurement technology is discriminated based on a Fourier algorithm; according to the harmonic component, the electric leakage resistance, the electric leakage value and the area of the frequency converter of the power supply system of the coal mine mobile converter substation can be judged, and alarm protection is judged; and the harmonic current is dynamically detected, so that selective leakage protection can be realized. According to the invention, through a 3DR electric leakage technology, electric leakage detection and instantaneous protection of the frequency converter are realized; selective earth leakage protection is realized according to the detection of the fundamental component and the harmonic wave; through harmonic leakage current and fundamental wave detection system distributed capacitance, electric leakage protection and capacitive current accurate judgment of power supply equipment in a coal mine power supply system are realized.

The embodiment of the invention provides a differential Hall current sensor and a manufacturing method thereof, and belongs to the technical field of semiconductors. The differential Hall current sensor includes: a substrate; the magnet yoke is provided with a semi-enclosed structure formed by a bottom surface and two side surfaces positioned on the same side of the bottom surface, and the bottom surface is bonded on the substrate; the current bar is placed in the cavity of the semi-surrounding structure and allows two end parts of the current bar to extend out of the semi-surrounding structure; the insulating layer is arranged on the upper surface of the current bar and located in the cavity; the at least two Hall elements are symmetrically arranged on the two sides of the upper surface of the insulating layer in the current direction; the at least two groups of magnetism gathering blocks are attached to the magnetic induction surfaces of the at least two Hall elements; at least two groups of magnetism gathering blocks and the magnet yoke form a conducting magnetic circuit, and the magnetic field component of the current magnetic field in the parallel direction of the magnetic induction surface is deflected into the magnetic field component in the vertical direction. According to the differential Hall current sensor, the Hall perceptible magnetic field intensity is enhanced through the conduction magnetic circuit of the gathered current magnetic field, and the measurement sensitivity is improved.

The invention discloses a sensitivity compensation method and system based on a TMR sensor. The method comprises the steps that a temperature compensation circuit introduces a negative temperature coefficient temperature sensitive resistor to be connected with a TMR current sensor in series; a fitting compensation technology is used, the corresponding relation between the temperature and the sensitivity of the sensor is accurately measured, data fitting is carried out through a least square algorithm, and a mapping curve of the temperature and the sensitivity is obtained; constructing and training a neural network model for learning and simulating a complex mapping relationship between environmental factors of a space geomagnetic field and temperature and measurement output of the TMR current sensor; and performing real-time correction compensation on the original output signal of the TMR current sensor by using the trained neural network model according to the environment temperature information acquired by the upper computer in real time and the correction factor predicted by the model. Through a unique compensation mechanism and an optimization algorithm, the accuracy of current signal acquisition and the stability of the system are remarkably improved, and the influence of environmental factors is reduced.

The invention relates to the technical field of sensors, in particular to a transformer dynamic magnetic bias current detection method and device based on magnetoelectric coupling sensing, and the detection device composed of a magnetoelectric coupling sensing element, an exciting coil and a rear-end processing circuit is used for measuring direct current magnetic bias current. The working principle of the magnetoelectric coupling sensing element is based on stress coupling between the magnetostrictive material and the piezoelectric material, then an output signal is generated on the piezoelectric material, and the sensitivity is remarkably improved by using the resonance amplification effect of the magnetoelectric coupling sensing element. Non-contact current detection can be realized by detecting the magnetic field generated by the magnetic bias current of the neutral point grounding wire of the transformer, and direct physical contact with power equipment is not needed, so that the safety of the system is improved, and the problem of high installation difficulty of a contact sensor is avoided; high-sensitivity, high-precision, anti-interference and real-time transformer direct-current magnetic bias current monitoring is achieved, and the transformer direct-current magnetic bias current monitoring device has the advantages of being easy to install and deploy and small in size.

The invention relates to the technical field of current measurement, and discloses an open-close type current transformer which comprises a lower shell, one side of the top of the lower shell is rotatably connected with an upper shell, semicircular iron cores are embedded in the lower shell and the upper shell, a copper wire is wound on the iron core located in the lower shell, two ends of the copper wire are fixedly connected with butt joints, and the butt joints are fixedly connected with the upper shell. The butt joint is embedded in the outer wall of one side of the lower shell, the side, close to the butt joint, of the lower shell is rotationally connected with a mounting plate, butt joint rods are fixedly connected to the sides, close to the butt joint, of the two ends of the mounting plate, two limiting holes are formed in the mounting plate, and two limiting seats are fixedly connected to the side, close to the mounting plate, of the lower shell. Each limiting seat is aligned with the corresponding limiting hole in the same side, mounting grooves are formed in the tops and the bottoms of the limiting seats, limiting blocks are slidably connected into the mounting grooves, and the problem that due to the fact that the positive electrode and the negative electrode are reversely connected, wiring copper wires need to be detached, and then winding work needs to be conducted by replacing the positions, and operation is troublesome can be solved.

The invention relates to the technical field of traction backflow monitoring, and provides a railway traction backflow monitoring analysis method and system based on multi-path current fusion. The method comprises the steps of generating multi-path current waveform data based on a mapping relation between a phase variation and traction backflow intensity, performing time-frequency domain combined noise reduction, and aligning with a time axis to obtain aligned multi-path current waveform data; and cross-path collaboration analysis is carried out, synchronous deviation characteristics of multi-path current are extracted, matching verification is carried out on the synchronous deviation characteristics and a preset traction load dynamic change interval, and an abnormal current event caused by harmonic distortion or transient impact and positioning information of the abnormal current event in the longitudinal direction of the steel rail are determined. According to the invention, high-precision detection and positioning of railway traction backflow and identification of harmonic and transient impact can be realized, and the problem of low-precision detection of railway traction backflow caused by weak anti-interference capability, insufficient spatial resolution and multipath current collaboration deficiency is solved.

The invention discloses a current inversion method based on a magnetic sensor array, and the method comprises the steps: S1, setting a plurality of measurement points, uniformly dividing a conductor layout region in a to-be-measured part of a to-be-measured multi-conductor system into grids with M * N nodes, and numbering each grid node as (i, j); constructing a coordinate system and recording coordinates of all grid nodes; s2, establishing a finite element simulation calculation model, calculating a reference position coefficient matrix of all measurement points, and constructing a reference position coefficient matrix database; s3, calculating a conductor position coefficient matrix, and constructing a position coefficient matrix; s4, according to the magnetic field measurement value acquired by the magnetic sensor array, the conductor current is calculated through inversion; and S5, after resampling the magnetic field measurement value, substituting the updated measurement value and the position coefficient matrix stored in the step S4 into the linear equation set constructed in the step S4 to solve the current of each conductor. The method has the characteristics of rapid calculation and low operand while the accuracy is ensured, and the inversion calculation efficiency can be improved.

The invention discloses a submarine cable detection method and device based on quantum magnetometers, the device comprises a multi-frequency signal generating device and a quantum magnetic field sensing device, and the quantum magnetic field sensing device comprises a first quantum magnetometer, a second quantum magnetometer and a signal processing module; according to the method, two quantum magnetometers which are horizontally installed are used for detecting the ratio of amplitude values of alternating magnetic fields generated by two equal-amplitude alternating currents with different frequencies in a submarine cable, and the distance relation between the two quantum magnetometers and the submarine cable is judged by comparing the ratio values detected by the two quantum magnetometers. And when the ratios detected by the two quantum magnetometers are equal, the position of the motion platform is the position of the submarine cable. The quantum magnetometer is used as a core sensor, so that the influence of posture change of the motion platform on detection data jitter is reduced, and the detection precision is improved; and a multi-frequency signal detection mode is adopted, so that the difficulty of extracting the characteristic magnetic field signal generated by the submarine cable to be detected from the total magnetic field is reduced.

The invention discloses a PUF (Physical Unclonable Function) generation device and a PUF generation method based on a magnetoresistor or a magnetosensitive current sensor. The signal acquisition and processing module acquires a voltage output signal of each magneto-sensitive current sensor and calculates a voltage effective value and a zero offset value; the signal acquisition and processing module uses the calculated effective value output by each magneto-sensitive current sensor to obtain the current value of the conductor to be measured; and the PUF processing module correspondingly generates a digital code of 1 or 0 according to the zero offset value of each magneto-dependent current sensor, and takes the obtained n 1 or 0 digital code sequences as a generated physical unclonable function PUF for digital identity authentication. According to the method, the PUF sequence is generated by adopting the own characteristics of the TMR, the characteristics of good confidentiality, simple scheme, high practicability and the like are achieved by utilizing the randomness of the process, an additional PUF chip does not need to be added, and the additional cost is not increased. With the increase of the TMR number, the higher the measurement accuracy is, the higher the safety is.

The invention relates to the field of on-line monitoring of electrical equipment, in particular to an on-line monitoring method of the electrical equipment, which comprises the following steps: acquiring multi-dimensional monitoring parameters of the electrical equipment, including an electrical parameter, a temperature parameter and an insulation parameter; performing feature extraction on the collected multi-dimensional monitoring parameters to obtain feature parameters corresponding to the monitoring parameters, and constructing a feature vector set; based on historical normal operation data and real-time acquisition data of the electrical equipment, establishing a dynamic threshold model, and calculating a threshold corresponding to the characteristic parameter through the dynamic threshold model; feature parameters in the feature vector set are compared with corresponding thresholds output by the dynamic threshold model, and whether the electrical equipment is abnormal or not is judged; when the abnormity exists, outputting an abnormity monitoring result; and if not, returning to S1. According to the invention, by collecting multi-dimensional parameters, calibrating, correcting, de-noising and extracting features, and combining historical and real-time data to build a model and verify, data preprocessing, threshold adaptation and anomaly judgment are realized, and the monitoring reliability is improved.

The invention discloses an anti-electromagnetic interference high-precision current sensing circuit and a current sensor, and relates to the technical field of current measurement. The system comprises a signal conditioning circuit used for carrying out voltage division on power supply voltage to obtain direct current bias voltage, superposing the direct current bias voltage with a sensor signal collected by a TMR sensor, carrying out amplification processing on the superposed sensor signal, and transmitting the amplified sensor signal to a signal filtering circuit; the signal filter circuit is used for filtering interference signals and clutters of the amplified sensor signals, and the filtered sensor signals are sent to the MCU for signal processing. The anti-electromagnetic interference high-precision current sensing circuit has the beneficial effects that firstly, the anti-electromagnetic interference high-precision current sensing circuit analyzes related interference sources and propagation paths of electromagnetic interference in a power grid operation environment, optimizes and selects types of electronic components and device layout, and effectively reduces the interference of the electromagnetic interference on the current sensing circuit; secondly, a hierarchical protection system structure is followed, and the influence of electromagnetic interference on a measurement circuit is reduced;

The invention discloses a capacitive voltage transformer for a gas insulated substation, which comprises a capacitive voltage divider and an electromagnetic unit, the capacitive voltage divider comprises a high-voltage capacitor C1 and a medium-voltage capacitor, the medium-voltage capacitor comprises a medium-voltage capacitor C21 and an externally connected medium-voltage capacitor C22, and the capacitance of the medium-voltage capacitor C22 is greater than that of the medium-voltage capacitor C21; the electromagnetic unit is connected with the capacitive voltage divider, an intermediate transformer and a compensation reactor are arranged in the electromagnetic unit, a full-shielding high-voltage shielding cover is arranged outside a high-voltage coil of the intermediate transformer, a damper and an overvoltage protector are arranged outside the electromagnetic unit, and the damper and the overvoltage protector are placed in an external junction box. The problem that in the prior art, an extra-high voltage transformer is low in lightning impulse overvoltage tolerance capacity is solved, the impulse overvoltage tolerance capacity is improved, and the breakdown risk is reduced.

The invention belongs to the field of data processing, and particularly relates to a high-voltage direct-current electric field intensity measuring method and a related device. In the device, an optical fiber direct-current electric field sensor at least comprises a signal processing unit, an optical fiber voltage sensing head, a fixed electrode and a rotating electrode. The method comprises the following steps: deploying a measuring device in a space to be measured; the rotating electrode is controlled to rotate at a constant speed, so that the center distance between the fixed electrode and the rotating electrode is periodically changed along with the rotating track; collecting an alternating current signal voltage generated by an alternating potential difference between the fixed electrode and the rotating electrode in a constant-speed rotating process through an optical fiber voltage sensing head; and performing numerical processing on the alternating current signal voltage through a signal processing unit to obtain a measured value of the high-voltage direct current electric field intensity, and optimizing the measured value in combination with a physical compensation model and a data driving compensation model. The method can realize the measurement of the high-voltage direct-current space electric field intensity, improve the measurement accuracy and expand the measurement range.

The invention provides a method and a system for measuring plasma current in a quasi-ring symmetrical star simulator, and relates to the technical field of star simulators, and the method comprises the steps: determining a sensor design index according to a bootstrap current simulation calculation result, and converting the design index into an actual arrangement scheme according to an installation environment constraint; all the magnet coils are independently excited in a plasma-free state, wall eddy current interference signals generated by the magnet coils are calibrated, and thus wall eddy current calibration voltage signals are output; a sensor in an actual arrangement scheme is used for synchronously collecting a total original induced voltage signal including plasma current and wall eddy current; an integral voltage signal representing the total current is output; and compensating the integral voltage signal by using the wall eddy current calibration voltage signal, and inverting the final measurement value of the plasma current in the quasi-ring symmetric star simulator. The device and the method have the beneficial effects that the interference of a stray field on a measurement result is weakened, and a high-precision diagnostic tool is provided for the plasma physical research of the star simulator.

The invention discloses a direct current measurement system based on a diamond NV color center, and the system comprises a drive control module which is used for controlling a laser excitation module to emit laser, transmitting the laser to the NV color center of a diamond substrate, and enabling the NV color center to emit fluorescence; the microwave excitation module generates a frequency modulation microwave signal based on a to-be-detected electrified conductor magnetic field, and the frequency modulation microwave signal performs microwave modulation on the electron spin state of the NV color center; the magnetism gathering module is used for gathering magnetism around the electrified wire to be measured to form a stable and uniform magnetic field for NV color center measurement; the photoelectric detection module is used for collecting fluorescence emitted by the NV color center; the fluorescence analysis processing module is used for analyzing the intensity and the frequency of the fluorescence; determining the magnetic field of the electrified conductor according to the fluorescence intensity and frequency; and determining the current value of the to-be-measured electrified conductor based on the magnetic field. Under the condition that the module space is saved, the accuracy and the stability of module operation are ensured.

The invention relates to the technical field of sensors, in particular to a non-intrusive passive wireless self-energy-taking quantum current sensor. The quantum current sensor comprises a self-energy-taking module and a quantum current sensing module. The self-energy-taking module is used for collecting environment energy of the environment where the tested device is located and converting the environment energy into electric energy so as to supply power to the quantum current sensing module through the converted electric energy; the environment energy comprises at least one of electric energy, light energy and magnetic energy; and the quantum current sensing module is used for sensing a current signal of the detected device under the condition of detecting that the detected device generates the magnetic field.