669 results about "Pulse current" patented technology

The invention provides a single-tube boost PFC circuit control method and system for single-cycle control, and relates to the technical field of data processing, and the method comprises the steps: generating a self-adaptive PWM control signal according to a duty ratio adjustment amount and a frequency compensation factor, and dynamically limiting the pulse current amplitude of a power switch tube through a peak current prediction algorithm, a load current change rate is generated based on the real-time relevance between the pulse current amplitude and the load current; setting a first monitoring point in a dynamic duty ratio change path of the PWM control signal, and extracting a duty ratio change rate and a switching frequency fluctuation parameter in real time; setting a second monitoring point in a feedback path of a load current change rate, and extracting a load current slope characteristic and a transient change amplitude in real time; and based on the parameters of the first monitoring point and the second monitoring point, generating a correction factor through a dynamic response correlation model. According to the invention, a high power factor can be realized under wide input voltage and load fluctuation.

The invention relates to the technical field of integrated circuit manufacturing, in particular to a precise electroplating control system and method for an electroplated layer of a double-layer circuit board, and the method comprises the steps: building a multi-physical field coupling simulation model, and simulating the internal current density and ion concentration distribution of a via hole; constructing a mapping relation between the current density and the side wall electroplating thickness based on a simulation result, and predicting the electroplating thickness; through thickness prediction feedback, a time sequence adjustable pulse current control strategy is designed, the pulse amplitude, the duty ratio and the on-off period are dynamically adjusted, and current distribution optimization is guided; the state of the electroplating process is sensed in combination with real-time monitoring and analysis of multi-source parameters of electrode potential, conductivity and fluid velocity; and based on the prediction model and the real-time parameters, adjusting the pulse waveform and the time sequence through closed-loop compensation. According to the method, the uniformity and controllability of the thickness of the electroplated layer on the side wall of the via hole can be remarkably improved.

The invention discloses a power supply rapid charging pulse current regulation and control system and method based on current monitoring, and particularly relates to the technical field of power supply management. The method comprises the following steps: acquiring a pulse current signal in a battery charging process, performing nonlinear decoupling analysis, and decomposing the pulse current signal into a first characteristic sub-vector representing a real charging state of the battery and a second characteristic sub-vector representing a high-frequency harmonic interference state; predicting the change trend of the electrochemical impedance of the battery based on the first feature sub-vector to form an instant charging acceptance evaluation index, and evaluating the harmonic interference degree based on the second feature sub-vector to form a charging state misjudgment risk level index; based on the battery instant charging acceptance assessment index and the battery charging state misjudgment risk grade index, the optimal pulse current regulation and control strategy is determined, the power output parameters are adjusted in real time, the state misjudgment problem caused by high-frequency harmonic interference and electrochemical impedance coupling is effectively solved, and the battery charging performance and the long-term reliability are improved.

The invention provides a blade lightning protection channel online test method and system based on a pulse current method, and belongs to the technical field of blade lightning protection detection.The method comprises the steps that a pulse waveform is generated through a pulse current generator to simulate lightning impulse, and the lightning impulse is injected into the surface of a lightning arrester of a blade lightning protection system; measuring channel currents at different positions of the surface of the lightning arrester in the length direction by using a distributed sensor; a high-voltage differential probe is used for collecting and measuring the waveform of an incident wave and the waveform of a reflected wave of an injection point; detecting blade surface potential distribution by using a capacitive coupling sensor; comparing the waveform of the incident wave, the waveform of the reflected wave and the theoretical waveform, determining a time domain reflection coefficient and a frequency domain impedance spectrum, and determining a fault type; after the fault type is determined, the fault point is positioned based on the channel current and the blade surface potential distribution, the lightning impulse is simulated through the pulse waveform, the lightning protection channel is further tested, shutdown is not needed, the testing efficiency of the blade lightning protection channel is effectively improved, and the power generation efficiency is ensured.

The invention discloses an insulation resistance and capacitance measuring circuit and method based on monopulse double-edge analysis, and relates to the related field of the electrical insulation online monitoring technology, and the circuit comprises a detected object and an insulation detection circuit. The insulation detection circuit comprises a controlled pulse voltage source, a coupling resistance network, a current sensor, a switch control module, a signal modulation circuit and a processor. The measurement method implemented based on the circuit comprises the following steps: injecting a common-mode voltage pulse into a transmission line of the power transmission system by adopting a pulse transmitter; pulse current response is collected in real time, a current oscillogram is drawn, and a three-point sampling method is introduced to record a current value for insulation impedance parameter calculation; according to a load condition, a double-edge verification method is applied based on a pulse current attenuation characteristic, and insulation impedance parameters including a resistive component and a capacitive component are independently calculated by analyzing a pulse current rising edge and a pulse current falling edge. According to the invention, non-intrusive synchronous monitoring of resistive and capacitive components of line-to-ground impedance is realized, and the detection precision is improved.

According to the cable multi-parameter fusion sensor and method, in the cable multi-parameter fusion sensor, a shielding shell is of an open-close type metal annular structure; the zero-flux sensor module is arranged on the inner layer of the shielding shell so as to detect a cable sheath ring current signal; the pulse current sensor module is arranged on the outer side of the zero-flux sensor module so as to detect a cable partial discharge pulse current signal and an overvoltage impact current signal; the magnetic shielding layer is arranged between the zero-flux sensor module and the pulse current sensor module to shield low-frequency magnetic field interference; the zero magnetic flux sensor module and the pulse current sensor module share the shielding shell to form an electromagnetic shielding structure.

The invention discloses an electro-optical-acoustic cooperative partial discharge detection device and method, and belongs to the field of equipment discharge fault detection. The device integrates a high-frequency current detection module, a photoelectric coupling detection module and an acoustic emission detection module; a high-frequency pulse current signal of a cable grounding loop, a pulse electric field of an insulating surface and an ultrasonic signal in a solid medium can be collected at the same time; all the collected signals are sent to the signal integrated processing module for alignment, noise reduction and multi-signal homologous conformity test; after detection, the signal integration processing module extracts combined feature vectors from the signals and inputs the combined feature vectors to the classification discriminator; finally, the discriminator outputs the probability of partial discharge, and if the probability exceeds a preset threshold value, it is judged that partial discharge exists in the cable. Therefore, by implementing the method and the device, the problems that single-mode detection in the prior art is poor in anti-interference capability in a complex field environment, and false alarm or missing alarm is easy to occur can be solved.

The present invention discloses a pulse generator and a pulse rod, which relate to the field of pulse circuit technology. The pulse generator includes a frequency control unit, a dual closed-loop pulse amplification unit, a digital signal processing unit and an adaptive power management unit. The frequency control unit includes an environmental sensor and a microcontroller. The microcontroller can calculate a preset pulse frequency based on information transmitted by the environmental sensor. The input end of the dual closed-loop pulse amplification unit can receive a pulse signal transmitted by the microcontroller, amplify it to a preset pulse frequency, and provide a pulse current to an electrostatic elimination needle. The digital signal processing unit can digitize the pulse signal to enhance the anti-interference ability of the pulse signal. The adaptive power management unit includes a dynamic voltage regulation module electrically connected to an external power supply, and the dynamic voltage regulation module can dynamically adjust the output voltage. The technical solution provided by the present invention can provide a pulse generator with high stability, a wide adjustment range and strong anti-interference ability.

The invention discloses a cable operation environment optimization method based on cable trench collection information, and relates to the technical field of intelligent operation and maintenance of a power system, and the method comprises the steps: collecting an original parameter data set in a cable trench; a pulse current signal is collected at a cable grounding wire connection point, and a standard pulse discharge capacity sequence is generated through band-pass filtering and amplitude integral conversion; based on the original relative humidity measurement value and the environment temperature value, calculating a compensated relative humidity value through a multi-scale heat conduction-diffusion coupling equation; calculating a cable insulation risk index through a quantum annealing algorithm by using the compensated relative humidity value and the standard pulse discharge capacity sequence; the dynamic measurement deviation of the temperature and humidity sensor is subjected to double compensation of thermal radiation and molecular adsorption by constructing a multi-scale heat conduction-diffusion coupling equation, so that the reliability of environmental state sensing is greatly improved, and the operation safety, stability and intelligent operation and maintenance level of a power cable system are effectively enhanced.

The invention discloses an oil-immersed transformer active defense method and system based on pulse current characteristics. The acquisition device is used for acquiring output signals of high-frequency pulse current sensors mounted at a high-voltage bushing end screen grounding position, a high-voltage bushing position and an iron core grounding position to obtain digital pulse current signals; whether active defense is started or not is judged according to whether the instantaneous value of the pulse current signal at the iron core grounding position reaches a protection starting threshold or not; judging whether the current pulse cluster is a discharge pulse cluster with abnormal internal discharge or not based on the three groups of pulse current signal characteristics; and judging whether protection acts or not according to the number of abnormal discharge pulse clusters in a set period. According to the method, serious partial discharge in the large oil-immersed transformer can be identified, protection measures are actively taken, and the situation that serious discharge defects are further developed into arc breakdown faults is effectively avoided.

The invention relates to the technical field of intelligent control, and discloses an ultra-low power consumption miniature LED visible light intensity self-adaptive regulation and control method and system, and the method comprises the steps: obtaining an analog light intensity signal, and carrying out the smoothing processing of the analog light intensity signal, and obtaining an environment light intensity value; calculating a light intensity change rate, and if the light intensity change rate exceeds a dynamic threshold value, marking an environment state and outputting a light intensity difference value; generating a preliminary adjustment instruction according to the state matching control parameter and the difference value quantization mapping, and calculating target light intensity in combination with the basic brightness; after executing the instruction, calculating actual and target deviation, and iteratively correcting to obtain a light intensity control signal; if the power consumption exceeds the limit, optimizing the signal amplitude; the input driving circuit analyzes the synthesized pulse current, excites pixels to emit light and gathers to obtain adjustment data; and if the visual contrast is lower than a threshold value, the change rate is adjusted again to realize closed-loop refining, and the light intensity adjustment accuracy is improved. The method can improve the real-time sensing capability of ambient light.

The invention is suitable for the technical field of grounding grid defect evaluation, and provides a transient electromagnetism-based grounding grid corrosion defect evaluation method and system, and the method comprises the steps: placing a sensor of a transient electromagnetic detection device above a to-be-detected region of a grounding grid, injecting a pulse current excitation signal into a conical focusing excitation coil, and carrying out the detection of the to-be-detected region of the grounding grid; acquiring an induced voltage time sequence signal through a receiving coil; extracting at least one characteristic parameter from the induced voltage time sequence signal, wherein the characteristic parameter comprises a signal peak value, peak value time, an attenuation rate or a signal integral quantity; inputting the characteristic parameters into a preset corrosion evaluation model, and performing inversion to obtain a residual thickness value or a corrosion depth value of the grounding grid in the to-be-detected area; generating and outputting a quantitative evaluation result containing the residual thickness value or the corrosion depth value; the method can be implemented in a non-stop state of the grounding grid, and an efficient and reliable decision basis is provided for safe operation and state maintenance of a power system.

The invention belongs to the technical field of equipment state monitoring and fault diagnosis, and relates to a pole-mounted switch damp defect diagnosis method and system based on multi-source information fusion, and the method comprises the steps: collecting a leakage current signal and a high-frequency pulse current signal flowing through a grounding wire in real time, and environment parameters around a target pole-mounted switch; preprocessing the leakage current signal and the high-frequency pulse current signal, and performing feature extraction based on the preprocessed leakage current signal, the preprocessed high-frequency pulse current signal and environmental parameters to obtain a leakage current feature quantity, a high-frequency discharge feature quantity and an environmental coupling factor; and based on the leakage current characteristic quantity, the high-frequency discharge characteristic quantity and the environment coupling factor, judging a damp fault of the target pole-mounted switch, and combining a D-S evidence theory and fusing multi-source information confidence to complete damp defect diagnosis of the target pole-mounted switch. According to the invention, complementarity between different information sources can be fully utilized, and the damp state of the pole-mounted switch can be accurately judged.

The invention relates to an electrically-assisted biaxial stretching forming limit testing system and method for a plated plate, and belongs to the technical field of bipolar plate testing.The testing method comprises the following steps that a bipolar plate sample is heated through pulse current and then stretched; and meanwhile, temperature, displacement, load and surface deformation images of the bipolar plate sample during stretching are collected, ultrasonic detection is carried out, and a basic forming limit curve is established based on a plastic instability criterion and is dynamically corrected. Dynamic evolution of necking initiation, expansion and interface failure in the stretching process can be synchronously tracked, actual working condition requirements can be better met, interface thermal mismatch aggravated by Joule heat is avoided, and the influence of insufficient sensitivity of a general ultrasonic algorithm can be made up through multi-physics field detection. The failure criterion is redefined as the critical state of plating-substrate interface separation, and the error of the critical failure point predicted by the forming limit curve is further reduced.

The invention relates to the technical field of water electrolysis hydrogen production, and discloses a pulse current regulation and control method for water electrolysis hydrogen production, which comprises the following steps: S1, inputting parameter information acquired in real time and basic parameters acquired by initialization into a preset control algorithm model; s2, the control algorithm model calculates the frequency, the duty ratio and the peak current of the pulse current according to the input data; s3, the pulse power supply controller generates a corresponding pulse current signal according to the received parameters and outputs the pulse current signal to an electrode of the electrolytic bath; s4, the operation state of the water electrolysis hydrogen production process is evaluated every certain time interval, deviation data is fed back to the control algorithm model, and the calculation rule of pulse current parameters is optimized and adjusted; the hydrogen generation rate is remarkably increased, so that the hydrogen production efficiency is improved, the energy consumption in the water electrolysis hydrogen production process is effectively reduced, and the hydrogen production cost is reduced.

The invention discloses a partial discharge monitoring system, method, equipment and medium for a switch cabinet, and belongs to the technical field of insulation state monitoring of high-voltage electrical equipment, and the partial discharge monitoring system comprises an NO2 gas detection module, a pulse current signal acquisition module, a signal processing module, a data transmission module, a data analysis and diagnosis module and a user display and alarm module. According to the invention, by integrating dual monitoring technologies of NO2 gas detection and transient current signal acquisition and combining signal processing, data transmission, data analysis and diagnosis and a user display and alarm module, high-precision and high-reliability online monitoring of partial discharge of the high-voltage switch cabinet is realized; the defects that a traditional single method is prone to electromagnetic interference, low in sensitivity and not suitable for long-term online monitoring are overcome, and the anti-interference capacity, diagnosis accuracy and operation stability of a monitoring system are improved.

The invention discloses a PCB wiring design method and system considering a pulse current fusing effect, and relates to the technical field of PCB design. The method comprises the following steps: based on a differential impedance design principle, including design rules of a differential microstrip line and a differential strip line, determining parameters such as the width, the thickness, the line spacing and the medium thickness of a wire so as to meet the impedance value requirement; based on the heat balance equation of the current-carrying conductor, a current conductor heating model and a current-carrying conductor heat dissipation model are established; on the basis of differential impedance design and in combination with the proposed binary particle swarm optimization algorithm, the electromagnetic compatibility factor can be comprehensively considered, the problems of low efficiency and electromagnetic compatibility existing in large-scale wiring design are effectively solved, rapid and accurate design of large-scale wiring can be achieved through an efficient calculation process, and the method is suitable for large-scale wiring design. The design efficiency and quality are remarkably improved, and the design requirement for the routing pulse fusing effect of a high-speed PCB signal is met.

The invention discloses a transformer partial discharge mode identification method and system based on multi-source data fusion, and relates to the technical field of transformer maintenance, the transformer partial discharge mode identification system comprises an identification execution module, a multi-source data fusion module and a discharge identification module, the identification execution module is used for collecting ultrahigh frequency electromagnetic wave, ultrasonic wave and high frequency pulse current partial discharge signals; and the multi-source data fusion module is used for carrying out unified time reference and intensity normalization processing on a detection period and a sampling resolution ratio, carrying out dynamic adjustment on two output parameter characteristics according to a subsequent detection result, carrying out multi-source data fusion processing, and carrying out multi-source data fusion processing on the two output parameter characteristics. The discharge identification module is used for comprehensively judging a partial discharge mode according to the processed data, and the identification execution module comprises a UHF detection unit, an AE detection unit, an HFCT detection unit, a gas component detection unit and an ultrahigh frequency electromagnetic wave analysis module.

The invention provides a leakage current testing method and system based on a low-frequency EIS and a transverse current pulse, and relates to the technical field of leakage current testing. The method comprises the following steps: firstly, determining use information and low-frequency EIS test parameters of a target battery to be tested, then testing the battery by using electrochemical working equipment according to the parameters, obtaining impedance data under different frequencies, and further obtaining first dynamic capacitance information. And controlling the power supply equipment to apply a preset transverse pulse current to the battery, determining a voltage variation cut-off condition, continuously monitoring the voltage variation, and recording the test time variation when the cut-off condition is reached. And finally, the leakage current value of the battery is determined by integrating the first dynamic capacitance information, the transverse current pulse current, the test time variation and the voltage variation. Compared with a traditional method, the leakage current value can be obtained only by applying the direct current once after the low-frequency EIS test without changing the magnitude and the duration time of the current for many times, the test process is simplified, the test efficiency is improved, and the leakage current value can be determined more accurately.

The invention provides a cable partial discharge monitoring method and system, a program product and a storage medium, and relates to the technical field of electrical variable measurement, and aims to capture a pulse current signal generated during cable discharge, perform time calibration on the discharge pulse current signal, measure the time difference of signals monitored at different positions, and combine the signal propagation speed to determine the partial discharge of a cable. Therefore, the specific position of discharge is locked. In a power frequency period, a PRPD atlas is constructed according to the amplitude and frequency of a discharge pulse current signal and corresponding power frequency phase information, then a statistical moment, phase symmetry and a polarity effect on each coordinate axis are calculated based on the atlas, and feature vectors are formed and input into a preset mode recognition model. And the model outputs a judgment result containing the discharge point position and the specific defect type by comparing with a preset monitoring parameter threshold value for the specific defect type. And direction reference is provided for subsequent maintenance and repair work, blind troubleshooting is avoided, the maintenance and repair efficiency is improved, and the cost is reduced.

The invention discloses a cable insulation monitoring method and device. The method comprises the following steps: acquiring a pulse current signal, a dielectric constant signal and an environmental parameter signal of a target cable; performing signal processing on the pulse current signal; performing environmental response modeling and condition correction on the pulse current signal and the dielectric constant signal according to the environmental parameter signal; performing time sequence modeling and feature extraction on the corrected dielectric constant signal; multi-source fusion is carried out based on the corrected pulse current features, the corrected dielectric constant time sequence features and the corrected environmental parameter features, and fusion features are generated; and inputting the fusion features into the classification model, and outputting an insulation state result of the target cable. Through the correction, fusion and intelligent classification analysis of the multi-source information, the defect of insufficient result stability and accuracy caused by dependence on single signal static diagnosis is overcome, the real-time, accurate and robust monitoring of the cable insulation state can be realized, and the method is suitable for the operation field and intelligent operation and maintenance scene of the power cable.

The invention belongs to the technical field of retired battery screening, and provides a method and a device for rapidly screening retired batteries based on a pulse detection technology. The method comprises the steps that S1, dynamic characteristics of a plurality of decommissioned batteries at the current moment are obtained, direct-current pulse current signals are applied to the decommissioned batteries, and the dynamic characteristics comprise the voltage, the current and the temperature of the decommissioned batteries at the current moment; s2, the dynamic characteristics of each decommissioned battery at the current moment are input into a prediction model, the prediction state of the decommissioned battery at the current moment is obtained, and the prediction state comprises the charge state, the health state and the battery internal resistance; s3, processing the prediction states of the plurality of retired batteries at the current moment by adopting a clustering algorithm; and S4, calculating a target function value based on the clustering result, when the target function value reaches a preset condition, carrying out retired battery grading according to the clustering result, and when the target function value does not reach the preset condition, returning to S1. According to the invention, the accuracy and consistency of grading and grouping of the retired batteries are improved.

The invention relates to a 10kV switch cabinet intelligent automatic operation monitoring and early warning method and system and a medium, and the method specifically comprises the following steps: 1, collecting the partial discharge data information of each key part, including a sound wave signal, an instantaneous pulse current signal and a high-frequency electromagnetic wave signal; 2, carrying out data processing, and obtaining a partial discharge abnormal point data value of each key part; 3, realizing partial discharge early warning of the switch cabinet by adopting a fault early warning method based on current and sound wave abnormal point data of the switch cabinet; 4, collecting the temperature of each key part and the environment temperature; 5, carrying out data processing, and obtaining a change relation function of the temperature rise of each key part along with the current; step 6, establishing a switch cabinet dynamic early warning model to realize dynamic temperature rise early warning; the method has the advantages that the operation and maintenance cost is reduced, the equipment operation efficiency is improved, potential safety hazards are found in time, and remote monitoring and early warning are achieved.

The invention discloses a coupling simulation method for a hot carrier effect and a single event effect of an FDSOI device. The coupling simulation method comprises the following steps: step 1, establishing a structural model of the FDSOI device by utilizing Sensory TCAD simulation software; 2, hot carrier effect simulation is conducted on the structure model of the FDSOI device, a first simulation result is obtained, and the first simulation result is used for representing the structure model of the FDSOI device subjected to hot carrier effect simulation; 3, performing single event effect simulation on the structural model of the FDSOI device subjected to hot carrier effect simulation to obtain single event transient pulse current of the structural model of the FDSOI device under the combined action of the hot carrier effect and the single event effect; and step 4, obtaining a target simulation result based on the single-particle transient pulse current of the structure model of the FDSOI device. By simulating the complex working environment of the FDSOI device in practical application, the reliability of the simulation result of the FDSOI device is improved.

The invention relates to the field of discharge detection, is used for solving the problems that a discharge detection system cannot perform multivariate data acquisition on a discharge phenomenon to improve accuracy and lacks deep analysis on a partial discharge phenomenon, and particularly relates to a discharge detection method and system of a power distribution cabinet based on artificial intelligence. Comprising a basic acquisition unit, a waveform confirmation unit, a multidirectional data fusion unit, a multidirectional analysis unit, an evaluation generation unit and an acoustic emission rechecking unit, through multiple acquisition modes of pulse current and electromagnetic waves, the purpose of improving the accuracy degree of monitoring the partial discharge phenomenon is achieved, the phenomenon of misjudgment caused by background interference is avoided, meanwhile, fusion analysis of multiple data is carried out on the partial discharge phenomenon, and the accuracy of monitoring the partial discharge phenomenon is improved. And the occurrence frequency of the partial discharge phenomenon is determined and the damage degree of the partial discharge phenomenon to hardware facilities in the power distribution cabinet is predicted, so that the data monitoring result of the partial discharge phenomenon is deepened and the maintenance period of the power distribution cabinet is conveniently determined.

According to the vehicle battery heating control method and device, the electronic equipment and the storage medium provided by the embodiment of the invention, the actual battery temperature and the actual pulse current value of the vehicle battery are monitored in real time in the process of circularly generating the pulse current between the vehicle battery and the three-phase winding of the motor; updating pulse signal parameters based on the actual battery temperature, the actual pulse current value and a preset current upper limit value, wherein the pulse signal parameters comprise a pulse beat and a pulse amplitude; and on the basis of the updated pulse signal parameters, the three-phase bridge arm is controlled to be circularly switched on and switched off, so that new pulse current is circularly generated between the vehicle battery and the three-phase winding of the motor. The battery temperature and pulse current are monitored in real time, pulse signal parameters are dynamically updated, fed back and corrected, accurate and efficient heating of the vehicle battery is achieved, meanwhile, the safety of the heating process is guaranteed through current upper limit control, and the heating efficiency and the system stability are both considered.

The invention discloses a double-frequency composite pulse reinforced swinging electric arc additive repairing device and method, and belongs to the technical field of fuse wire additive manufacturing. The device comprises a GTA welding system, a pendulum oscillator, an ultrahigh-frequency excitation power supply and a multi-thread synchronous digital regulation and control system, and regulation and control of the heat input gradient and the molten drop impact force are achieved through low-frequency and ultrahigh-frequency pulse current composition and dynamic matching with a swinging arc path. The method comprises the steps of surface treatment, pulse compounding, welding gun positioning and repairing operation, heat distribution of center heat flow focusing and edge heat blocking is formed through different effects of double-frequency pulses in the swing stage and the stay stage, and the flowing and solidification characteristics of a molten pool are optimized. The problems of coarse grains, poor forming precision and the like in a traditional process are solved, the uniformity, interface bonding strength and repairing efficiency of a deposition layer are improved, and the method is suitable for in-service repairing of complex components such as nuclear power equipment.

Disclosed is an operation method of a neural network element using a Hall voltage. The neural network element has a hole pattern portion, and the hole pattern portion has a cross shape. When a pulse current is applied, horizontal magnetic anisotropy is formed in a ferromagnetic layer by means of spin-orbit torque, and when an external magnetic field in a direction perpendicular to the pulse current is applied, the inversion of magnetization occurs by means of additional torque. The movement of a magnetic domain wall is performed by the inversion of magnetization, spin electrons applied thereby are scattered, and a Hall voltage is generated according to the anomalous Hall effect. The generated Hall voltage increases according to the number of applications of the pulse current or pulse voltage.

The present invention relates to the technical field of partial discharge monitoring, and discloses a real-time partial discharge monitoring system based on pulse current, which includes a signal acquisition module, a preprocessing module, a preliminary diagnosis module, a fault isolation module, and a deep diagnosis module. The signals collected in real time are preprocessed such as data marking, baseline calibration, and pulse extraction to accurately remove interference and ensure reliable data; through targeted detection of sensor open circuit and sampling card abnormality, the fault can be quickly located; the fault isolation module can automatically switch to a standby sensor when a fault occurs to reduce the impact of the fault; the deep diagnosis module constructs a fault feature vector using multi-dimensional features and compares it with the sample set to achieve fine classification of faults; the fault warning module can send the sensor and partial discharge fault warning signals to the operation and maintenance personnel in real time; the present invention improves the monitoring accuracy and reliability, provides a strong guarantee for the safe and stable operation of equipment, and reduces the risk of accidents.

The invention relates to the technical field of geophysical exploration, in particular to a semi-aviation transient electromagnetic detection system based on cooperation of a robot dog and an unmanned aerial vehicle, and the system consists of a robot dog platform, an unmanned aerial vehicle platform and a ground control station. The robot dog platform comprises a high-power transient electromagnetic transmitter, a line source laying module, a voice warning module and a mobile positioning module, and can automatically lay a line source and inject pulse current to the ground; the unmanned aerial vehicle platform comprises a visual field auxiliary module, a flight driving module and a receiving coil, and the coil can be dragged according to a preset route to collect electromagnetic data; the ground control station is used for job scheduling and data processing. Wiring-transmitting-receiving integrated collaborative operation is realized through the robot dog and the unmanned aerial vehicle, and the robot is suitable for detection of a complex mountain environment.