1062results 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 a substation equipment health state monitoring system and method based on electric field intensity detection, and the system consists of an electric field intensity sensor, an image recognition module, an infrared imaging module, a data processing and analysis module, a wireless transmission module, an inspection robot, and a health state detection platform. The inspection robot collects electric field distribution, a visible light image and an infrared thermogram according to a preset line, appearance defects and temperature abnormity are analyzed through a convolutional neural network, and the data processing and analysis module can generate an electric field thermodynamic diagram and evaluate the equipment fault risk in real time through a deep learning algorithm. Abnormal information can be wirelessly transmitted to the health state detection platform, and an alarm is automatically given. Through multi-source data fusion and intelligent diagnosis, the system can effectively improve the inspection efficiency and accuracy, reduce manual errors, realize early detection of equipment cracks, corrosion, looseness and high-temperature overheating defects, and greatly improve the operation and maintenance efficiency and safety of a transformer substation.

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

The invention discloses a Rydberg atom microwave measurement sensitivity improving method based on atom velocity selection, and relates to the field of Rydberg atom microwave measurement, and the method comprises the steps: moving the frequency of probe light to an energy level resonance transition position of cesium atoms from a ground state to an excited state, scanning the frequency of the coupled light within a Rydberg state energy level preset range, and observing an EIT signal; the frequency of the detection light is changed, the detuning amount of the detection light is selected to enable the EIT signal to reach the maximum, and the frequency of the detection light is locked to the frequency corresponding to the maximum position of the EIT signal; meanwhile, a local oscillation field signal generator in the Rydberg atomic microwave sensitivity measurement device is turned on, and corresponding EIT-AT splitting is generated; the frequency of the coupling light is locked to the coupling light laser frequency corresponding to the lowest point of EIT-AT splitting, and the Rydberg atom microwave measurement sensitivity reaches the maximum. The cesium atom speed is screened and controlled, and the signal-to-noise ratio of the measurement signal is improved, so that the measurement sensitivity is improved.

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 a high-voltage cable lead seal defect monitoring system based on a resistance value, and relates to the field of cable monitoring, and the system comprises an instruction management module which is used for connecting a transmission power grid of a cable, obtaining the collection authority of power supply operation state data, and editing and sending control instructions of all function modules; the model construction module is used for collecting operation parameters of a plurality of lead sealing nodes and associated cables in a specified cable section in real time, integrating the operation parameters into power supply operation state data and constructing a lead sealing three-dimensional model; the trend monitoring module is used for inputting the real-time power supply operation state data of the current cable section into the lead sealing three-dimensional model and outputting the resistance change trend of a plurality of lead sealing nodes; by capturing and marking abnormal states of a plurality of nodes of a specified cable section, an efficient detection path is generated, the path planning efficiency is improved, the detection time is shortened, the maximum detection coverage is ensured, external environment interference is avoided, and crack propagation is predicted through a more accurate model.

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.

Disclosed is a direct control method and system for an internal potential of a bridge arm of a new energy grid-tied inverter (GTI), the control method including the following steps. Measured values are obtained by measuring a port voltage and a port current of a GTI, instantaneous active and reactive power values are calculated, and a phase angle and amplitude reference of an internal potential of a bridge arm are obtained to generate reference values thereof. The internal potential of the bridge arm is estimated, and an estimated value used as a feedback signal, after being compared with the reference values, is sent to an internal potential controller to obtain a modulating signal, which is sent to a pulse width modulation (PWM) module, realizing direct control of the internal potential of the bridge arm. In the present disclosure, the dynamic performance of the GTI is improved while improving power quality.

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 relates to the technical field of electrical measurement and power system monitoring, in particular to a cable insulation fault detection method. The method comprises the following steps: measuring an electric field signal and constructing an electric field distribution model in a cable to obtain a signal mapping result of a cable insulation state; the signal mapping result of the cable insulation state is mapped to a frequency domain, smoothing processing is carried out, multi-scale analysis is carried out on the signal after smoothing processing, fault features of the cable are extracted, the insulation state of the cable is quantified, the probability that the cable has an insulation fault is calculated, and a basis is provided for fault early warning and maintenance. The problems that most of traditional insulation fault detection methods depend on single electrical or spectral characteristic detection, so that detection information is incomplete; the stability is poor, and misjudgment or missed judgment is easily caused; in some methods, power failure or direct contact with a cable is needed for measurement, and continuous operation of the cable is affected. And complex electric field distribution and dynamic change thereof in the cable are difficult to accurately describe, and the fault development trend is difficult to predict.

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 a high-voltage switch cabinet fault monitoring and early warning system and method, and relates to the technical field of high-voltage switch cabinet fault monitoring. Comprising a detection acquisition module, a temperature monitoring module, a live monitoring module, a fault analysis module and an early warning execution module. In order to solve the problems of multiple challenges, insufficient data acquisition precision and comprehensiveness, lack of prediction capability for fault development trend and inaccurate fault abnormity judgment in the prior art, the invention utilizes the technical means of normalization processing, Fourier transform, correlation analysis and the like to accurately evaluate the monitoring data, so that the accuracy of the data acquisition is improved. Comprehensive judgment is performed in combination with multiple indexes, so that the problem of insufficient fault feature extraction and anomaly judgment capabilities in a traditional method is effectively solved; space positioning, time synchronization and correlation calculation technologies are introduced through the fault analysis module, abnormal points are locked quickly, and the change trend of potential risks is predicted in combination with trend analysis, so that the hidden danger identification and positioning efficiency of the system is improved.

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

The invention relates to the technical field of electrical equipment monitoring, and discloses an insulation state on-line monitoring system for electrical equipment of a high-voltage transformer substation, and the system comprises a data collection module which is used for collecting electric field intensity, partial discharge signals and temperature and humidity data in real time, and transmitting the data to each module through a transmission unit; the multi-physics field coupling modeling module is used for calculating electric field distribution and temperature field distribution in the equipment through electric field simulation and temperature field simulation according to the electric field intensity and temperature and humidity data; and a dielectric loss and partial discharge linkage analysis module. According to the method, electric field intensity, partial discharge signals and temperature and humidity data are comprehensively analyzed by combining multi-physics field coupling modeling and intelligent reasoning technologies, accurate equipment insulation state evaluation and fault prediction are achieved, meanwhile, an electric field-temperature field coupling analysis technology is adopted, partial discharge and a heat effect are combined, and the reliability of equipment insulation state evaluation and fault prediction is improved. And an overheating area and an insulation problem in the equipment can be accurately identified.

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 discloses a method and system for directly controlling the internal potential of a bridge arm of a new energy grid-connected inverter, belonging to the technical field of grid-connected inverter control. The control method comprises the following steps: obtaining measured values ​​by measuring the port voltage and current of the grid-connected inverter, and calculating instantaneous active and reactive values; obtaining the phase angle reference and amplitude reference of the internal potential of the bridge arm of the grid-connected inverter respectively, and then generating the internal potential reference of the bridge arm; at the same time, estimating the internal potential of the bridge arm of the grid-connected inverter based on the port voltage and current measured values ​​and the grid-connected inverter model by using an observer; finally, using the estimated internal potential as a feedback signal of the closed-loop feedback control of the internal potential, comparing it with the generated internal potential reference of the bridge arm, and sending it to the internal potential controller, thereby obtaining a modulation signal and sending it to the PWM module, so as to realize direct control of the internal potential of the bridge arm of the grid-connected inverter; compared with the existing control method of the grid-connected inverter, the method of the invention improves the dynamic performance of the grid-connected inverter and improves the power quality.

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 discloses a power distribution network insulation defect detection method and system based on an electroluminescent composite material, and relates to the technical field of electrical equipment insulation detection.The method comprises the steps that an electroluminescent gradient doping coating material is prepared and sprayed to the surface of a pretreated detected insulating part; acquiring an electroluminescent signal of the detected insulating part and real-time data of environment temperature and humidity, and performing preprocessing, inputting the preprocessed electroluminescent signal into a pre-constructed light-electric field nonlinear mapping model, performing basic electric field inversion, and performing local correction on a three-combination-point area through a weight factor; global environment compensation is carried out through a pre-trained BP neural network, and a corrected electric field inversion result is obtained; and on the basis of a preset dimensionless electric field index dynamic threshold value, labeling coordinates of an abnormal region in a corrected electric field inversion result in real time, evaluating a defect risk level in combination with weighted D-S evidence, and realizing remote display and early warning of a thermodynamic diagram through a cloud protocol.

The invention discloses a visual automobile electromagnetic compatibility radiation anti-interference test method, device and equipment, and relates to the technical field of vehicle testing, and the method comprises the steps: collecting the radiation anti-interference test data of automobile electronic equipment from a plurality of test equipment in real time through a data collection layer, and transmitting the data to a data processing layer; cleaning, analysis and feature extraction are carried out on the data in the data processing layer to obtain key indexes, and the key indexes comprise the maximum radiation value and the standard exceeding frequency number; inputting the key indexes into a visual display layer, and displaying the distribution, ranking and trend of test results of different vehicle enterprises and vehicle types in the forms of maps, histograms and line diagrams; the key index is monitored in real time based on a preset threshold value, an alarm signal is triggered when the key index exceeds the preset threshold value, and early warning prompt information is generated; and a test scheme is optimized according to the alarm signal and the early warning prompt information, and test parameters of the data acquisition layer are dynamically adjusted.

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 micro-nano electric field sensor, which comprises three electrodes including a cathode, an extraction electrode and a collector, the three electrodes are connected with an external control circuit through leads, and an insulating layer is arranged among the cathode, the extraction electrode and the collector and is used for separating the three electrodes so as to ensure the independence of an electric field and the accuracy of a signal. By means of the advanced nanometer manufacturing technology, the problems that in the traditional electric field sensor manufacturing process, cost is high, the period is long, and doping is prone to occurring can be solved, the performance of the electric field sensor can be effectively improved, the reliability and stability of the electric field sensor are improved, and the device meets the increasing technical requirements for miniaturization and integration.

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.